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Our research could be further improved by developing a more standard method of silk measurements. Within each cluster of silk we obtained from the three webs, there were multiple individual strands of various thicknesses. Different strands of silk could represent different types of silk, such as silk used for web production to catch food or silk that is made as a byproduct of spider function. Identifying different types of web produced by the spiders and only quantifying the same type of web would potentially give more solid data that would better indicate if a correlation between weight and silk thickness existed. We also had to move the spiders around to different locations because we had to bring them to the lab in order to use a scale and the microscope. This means the spiders may have been in states of distress that could cause disruptions in silk production. To better future research, keeping the spiders in the same location throughout the experiment might yield better results because the spiders would be in a constant controlled environment.

If we were to continue research, we could take web samples from more than just three spiders and standardize the measurements.

Several different studies described spider webs as depending upon the mechanical performance of capture threads, and states that web function arises from the architecture and mechanical performance of silk (2). This study also used microscopy, and measured the web thickness of different web types: orb webs, funnel webs, dome webs, and irregular mesh webs. The different types of webs yielded different thicknesses on average, with orb webs being the thickest. Since spider webs must be strong enough to withstand the weight of the spider on the web, and be durable enough to support the spider’s movement, it is plausible that spider weight could also be a factor in web thickness, in addition to web type.  

Our data displays a negative trend between the weight of the spiders and the thickness of their silk. The heaviest spider had an average silk thickness of .758 μm which is the smallest average thickness of silk. Due to the negative trend between weight and thickness, our hypothesis is not supported because heavier spiders do not produce a thicker silk. Our results had inconsistent web thicknesses so in some cases the average is not representative of the entirety of the silk.

Our research could be improved by developing a more standard method of silk measurements, Within each cluster of silk we obtained from the three webs, there were multiple individual strands of various thicknesses. Different strands of silk could represent different types of silk, such as silk used for web production to catch food or silk that is made as a byproduct of spider function. Identifying different types of web produced by the spiders and only quantifying the same type of web would potentially give more solid data that would better indicate if a correlation between weight and silk thickness existed. We also had to move the spiders around to different locations because we had to bring them to the lab in order to use a scale and the microscope. This means the spiders may have been in states of distress that could cause disruptions in silk production. To better future research, keeping the spiders in the same location throughout the experiment might yield better results because the spiders would be in a constant controlled environment.

The fact that there is a stretch of RNA at the 5' end of the Okazaki fragment emphasizes the fact that RNA does not need anything but itself to start replication. The leading strand only needs one RNA primer to begin replication since it can replicate continuously. Since the lagging strand replicated discontinuously, primers must be put down after Okazaki fragments. If this did not occur or if there was a mutation in these primers, the lagging strand would not carry out replication correctly or at all.  E.coli has 5 DNA polymerases while eukaryotes have about 13. It makes sense that E. coli would have less DNA polymerases than eukaryotic DNA polymerases since eukaryotic organisms are more complex than a bacteria like E. coli. However, I did not know that there were at least 13 DNA polymerases in eukaryotes and I'm a little surprised. I have learned about several different DNA polymerases. They each seem to have their own specific function in the DNA replication process. It is important to have several DNA polymerases in case one has a mutation or fails. This will help prevent the entire process from failing. n nick translation, DNA polymerase I cuts/nicks random parts of the DNA to tag certain parts of the DNA. The tagged sequence can then be used as a probe or for IF staining.

It is important to recognize the different definitions of reproductive autonomy and how constructs such as race, class, color, and gender affect it when analyzing abortion policies. Reproductive autonomy is a woman’s right to self-govern herself when it comes to childbearing and control of her own body. This can also include a woman’s autonomy in choosing whether to use abortion resources or not. This autonomy is often compromised when women are given little accessibility to abortion resources in the United States. Along with roadblocks to the access of reproductive health resources in the U.S., women are often thought of as unable to govern themselves properly and therefore should be expected to handover this control to legislators (Denbow, 2015).

Glomerular Filtration occurs in the Bowmans capsule. The forces that control this filtration from the glomerulus to the Bowmans capsule are known as Starling Forces. These consist of Hydrostatic pressure of the glomerulus, Bowman's capsule oncotic pressure, Bowman's capsule hydrostatic pressure, and Glomerular oncotic pressure. The forces that work for filtration are hydrostatic pressure of the glomerulus (how much pressure is on the surface) and the Bowmans capsule oncotic pressure. The forces that work against filtration are the Bowmans hydrostatic pressure and the Glomerular oncotic pressure. 

The likely mechanism controlling the interaction between fir and aspen trees is facilitative succession. This occurs to be the mechanism forwarding the secondary succession found in the example, as aspen tree density expansion allows for fir trees to be able to establish themselves within the environment. This is shown in Figure 2 as the figure shows the progression of the respective densities of the two trees in the context of the different successional stages. In Figure 2 it shows that aspen trees are able to establish themselves in meadows and in turn increase in density until aspen trees are able to grow and eventually overtake them density wise. Aspens allow for the conditions that that lead to fir population growth, thus showing the facilitative succession that is occurring. Figure 3 also shows that facilitation succession is occurring. In the experimental circumstances created by the scientists, aspen trees were thinned leading to mortality (or rate of death) for fir trees to increase drastically when compared to the control scenario. This demonstrates that without a significant aspen tree density, the mechanism of facilitation that allows for the fir to grow cannot occur.  The reduced aspen tree density is unable to support fir tree growth and survival as it typically would, leading to an increased rate of mortality for fir trees, thus indicating the mechanism that controls the interactions between firs and aspens.

The likely mechanism controlling the interaction between fir and aspen trees is facilitative succession. This occurs to be the mechanism forwarding the secondary succession found in the example, as aspen tree density expansion allows for fir trees to be able to establish themselves within the environment. This is shown in Figure 2 as the figure shows the progression of the respective densities of the two trees in the context of the different successional stages. In Figure 2 it shows that aspen trees are able to establish themselves in meadows and in turn increase in density until aspen trees are able to grow and eventually overtake them density wise. Aspens allow for the conditions that that lead to fir population growth, thus showing the facilitative succession that is occurring. Figure 3 also shows that facilitation succession is occurring. In the experimental circumstances created by the scientists, aspen trees were thinned leading to mortality (or rate of death) for fir trees to increase drastically when compared to the control scenario. This demonstrates that without a significant aspen tree density, the mechanism of facilitation that allows for the fir to grow cannot occur. 

The likely mechanism controlling the interaction between fir and aspen trees is facilitative succession. This occurs to be the mechanism forwarding the secondary succession found in the example, as aspen tree density expansion allows for fir trees to be able to establish themselves within the environment. This is shown in Figure 2 as the figure shows the progression of the respective densities of the two trees in the context of the different successional stages. In Figure 2 it shows that aspen trees are able to establish themselves in meadows and in turn increase in density until aspen trees are able to grow and eventually overtake them density wise. Aspens allow for the conditions that that lead to fir population growth, thus showing the facilitative succession that is occurring. Figure 3 also shows that facilitation succession is occurring. In the experimental circumstances created by the scientists, aspen trees were thinned leading to mortality (or rate of death) for fir trees to increase drastically when compared to the control scenario.