Abstract

Objectives

My objective was to see how oil spills affect Elodea. I simulated an oil spill by placing different Elodea plants underneath different amounts of surface oil (0%, 50%, and 100%).

Methods

My experiment had two parts. The first part exposed the seaweed to the oil to see how the color changed and the second tested the photosynthetic rate of those plants. In the first part of my experiment, I used 3-in-1 Lubrication oil to simulate an oil spill, and the seaweed was separated into three tanks (2 in each tank) and then exposed to oil for five days at different ratios (0%, 50%, 100%). For the second part of my experiment, I placed the seaweed in a beaker with carbonated water underneath a test tube to measure how many bubbles the plant produced in three five-minute periods.

Results

In the first part, the plants were overexposed to light. The seaweed growing underneath no surface oil died within a few days, while the seaweed with 50% surface oil started to die within the last days of the experiment. Since surface oil blocks light, plants with the most oil survived the longest and produced the most bubbles.

Conclusion/Discussions

The seaweed in the tank with the most surface oil survived the longest because the seaweed was overexposed to classroom lighting. This disproves my hypothesis because I hypothesized that the seaweed growing underneath no oil would survive the longest. Now I know that oil spills block light from reaching plants, causing problems within marine ecosystems.

Abstract

Objectives

My objective was to determine if seaweed could absorb CO2; because if it could it could help stop global warming. To do this, I had two tanks: one with ulva seaweed and pacific ocean water, and one with just pacific ocean water. I added CO2 tablets to each tank and I tested the CO2 level in the water.

Methods

I had an experimental tanks with seaweed and a control tank with just pacific ocean water. I put a CO2 tablet in each tank, then tested the CO2 level using my CO2 tester. For 4 days I checked in on the Dannisly CO2 Drop Checker Test Kit CO2 testers and collected the data of the CO2 level.

Results

On day two, all three tanks started at a low CO2 level. For day two, both tanks were all at a high CO2 levels. On day three, my experimental tanks were medium CO2 levels, while my controlled tanks were still at high. On day 4, my controlled group stayed at high, and my experimental groups went to low.

Conclusion

My hypothesis was that the group with ulva seaweed (the experimental group) would fully absorb the CO2 and the group with just pacific ocean water wouldn't. My hypothesis was correct because the experimental group absorbed the CO2 when the controlled group stayed high. Now I know that ulva seaweed actually absorbs CO2.

Abstract

Objectives

My objective was to study the GHG emissions for the average american diet versus plant based diet. To do this, I recorded what adults ate for the span of a week and then calculated their GHG emissions connected to their food consumption using the BBC Climate Change Food Calculator.

Methods

For my experiment I distributed food journals to all 18 of my subjects. For my control group, I had 9 adults on an average american diet and for my experimental group I had 9 adults who consumed an average plant based diet. Each adult recorded their diets for seven days and then returned the finished journal. I calculated the amount of GHG released for their meals then averaged out all the results and compared them.

Results

The results were based on the amount of GHG emissions over the span of a week. The average american diet group had an average weekly emission of 64.3 kg of GHG while the plant based diet group had a weekly emission of 32.1 kg of GHG.

Conclusion

In conclusion, the adults on an average american diet produced twice the amount of GHG emissions compared to the adults on an average plant based diet. This proves my hypothesis that the group on an average american diet will have produced more GHG emissions then the group on a plant based diet. Now I know that an average American diet produces twice the amount of GHG emissions than an average plant based diet.

Abstract

Objectives

My objective was to find if adding 3M K1 glass microspheres would slow the melting of ice in an attempt to help the Arctic by increasing ice albedo. This is currently being studied by scientists as a possible solution to polar ice melting.

Methods

Firstly, I tested how layers of microspheres affected light passing through a glass slide. One piece of paper is about 100um. I fit one piece in between two glass slides, to make space between the slides. I added 2 and 3 pieces in different slides. I added glass microspheres into the spaces between the slides to make a layer of 100um, 200um, and 300um. I tested the amount of light coming through with a light sensor. Secondly, I tested how the layers of microspheres affected ice melting. I made ice shaped like a glass slide using molds. I used different masses ( 0.05g, 0.10g, 0.15g) of microspheres, and added them over the ice. I set my ice over a graduated cylinder and took the amount of water melted every 2 minutes for 20 minutes.

Results

In part 1, the amount of light that passed through the slide is: 100um=24.6lux, 200um=42.5lux, and 300um = 43.2lux. In part 2, the amount of ice that melted was: no microspheres= 6ml, 100um= 4.5ml, 200um =2.5ml, and 300um = 5ml.

Conclusion

Part 1 of my experiment disproved my hypothesis and allowed more light in with more microspheres. Part 2 showed the most melting in the control group and lower melting with microspheres.

Abstract

Objectives

My objective was to see the effects of noise pollution on living organisms using ants as a model. To do this, I put them in a maze with different decibels of noise and calculated the ant's response via three calculations: linear speed, angular speed, and memory.

Methods

The ants were cultured in a test tube for 1 week with a green sticker next to an apple piece to create an association between the green sticker and their food. This would later allow me to test the ant's memory. When it was time to run the experiment, the ants ran in a homemade cardboard maze while being exposed to 4 different decibel levels of noise pollution in the form of city noise: 0dB, 95dB, 105dB, 110dB. I recorded the ants for 5 minutes while running the maze and when collecting data I watched back each video and calculated linear speed (distance/time), angular speed (turn rotation/linear speed), and memory (the percentage that remembered green sticker as food).

Results

The 105dB did the best in total seeing as they succeeded in 2/3 categories: linear speed (1.17 cm/s) and memory (66.67%.). However, the control group had the best angular speed (115 degrees/s.)

Conclusion

Although the effects of noise pollution aren’t all beneficial, my data shows that 105dB of noise pollution doesn’t necessarily affect an ant's memory or speed. Results do not match my background research and may be off due to a few design errors in my experiment.

Abstract

Objective

Seeing if the amount of PM2.5/VOCs near oil drills were larger than at my house. This is important because air pollution can affect people/animals/plants.

Method

I used an EG Air Quality Monitor to measure VOCs/PM2.5 at 3 oil drills (Kenneth Hahn State Recreation Area, West Pico Drill Site, Hillcrest Beverly Oil Corporation) and my house. I took measurements at 10:15 am, 12:15 pm, 4:15 pm.

Results

10:15: PM2.5 average for oil drills: 2.333 µg/m3. My house was greater: 4 µg/m3. VOC average for oil drills was 0.026 mg/m3. My house measurement was greater: 0.064 mg/m3.

12:15: PM2.5 average for oil drills: 2.666 µg/m3. My house measurement was greater: 4 µg/m3. VOC average for oil drills was 0.002 mg/m3. My house was greater: 0.015 mg/m3.

4:15: PM2.5 average for oil drills: 2.333 µg/m3. My house measurement was greater: 4 µg/m3. The oil drill VOC average was 0.002 mg/m3. My house was lower: 0.000 mg/m3.

Conclusion

I disprove my hypothesis. I said oil drills would have lower air quality, but my house had higher VOCs/PM2.5 in 5/6 of measurements taken. My data doesn’t make sense because my background research states oil drills release VOCs/PM2.5, yet my house, 20 minutes from oil drills, had higher VOCs/PM2.5 than oil drills.

Abstract

Objectives

My objective was to see which UV light (UVA, UVB, or UVC) was most effective at killing bacteria. To do this, I exposed E. Coli to UV lights for different times to see which light was most effective in reducing the number of colonies.

Methods

I used a UVA light (320-400 nm), UVB light (315- 280 nm), and UVC light (>280 nm). Because the UVC light has the shortest wavelength (shorter wavelength = high energy) it will be the most powerful. To set up my experiment I made 15 petri dishes with agar. I then swabbed the E. Coli bacteria onto the petri dishes and split them into the 4 light groups: UVA, UVB, UVC, and Control (all containing 3 petri dishes). I put each group of petri dishes under its light for 30 seconds, 1 minute, and 5 minutes. However, the Control petri dish was not exposed to any UV light. When calculating results, I did a serial dilution and counted the colonies (CFU) produced.

Results

I found that the UVA light killed the most bacteria with a maximum of 6 CFU. The UVB light didn’t kill much bacteria and had too many colonies to count after exposure. Unfortunately, my UVC light exploded when being set up, so it wasn’t tested. The Control group also had too many colonies to count after exposure.

Conclusion

According to my data, the UVA light kills most of the E. Coli bacteria and is the most reliable UV light to use for sanitation.

Abstract

Objectives

My objective was to see if ocean acidification from global warming negatively affects crustacean life. To do this, I placed seashells in biochambers with varying conditions (CO2 added, CO2 added + a Vallisneria, and control) for 4 weeks. I hypothesized that CO2 would corrode the shells and the plant would counteract the process.

Materials/Methods

I made CO2 by mixing vinegar and baking soda then transferring it to the biochamber through a balloon. To ensure the added CO2 worked, I compared the CO2 and pH levels in a biochamber before and after added CO2. The change in CO2 levels (1,230ppm to 9,164ppm) made sense, but the change in pH levels (5.39 to 6.21) didn’t because CO2 acidifies ocean water. Next, I set up three biochambers with the following: control, CO2 but no Vallisneria, and CO2 + Vallisneria. I measured the force and mass of each seashell before and after 4 weeks inside biochambers.

Results

The seashell in the control biochamber went from 7.2g to 5.9g and 62.70N to 5.5N. The seashell in the biochamber with CO2 but no Vallisneria went from 5.7g to 7.6g and 46.98N to 23.0N. The seashell in the biochamber with CO2 and Vallisneria went from 3.3g to 3.5g and 102.8N to 64.0N.

Conclusion

The added CO2 weakened the force and added mass to the seashells in the biochambers with CO2. The plant did not help counteract the process.

Abstract

Objectives

My objective in this experiment was to see the effect of varying amounts of fertilizer (1, 2, 3, and 5 ml) on chlorella algae. Fertilizer gets carried into the ocean by runoff and increases algae growth. Increased algae decreases available oxygen in water and causes a chain reaction of death.

Methods

First add 100 ml of water and alga gro to 10 erlenmeyer flasks. Add 3 ml of chlorella algae to each flask. Add to control flasks (1+2) no fertilizer. Add to flasks 3+4 1 ml of fertilizer. To flasks 5+6 add 2 ml of fertilizer. To 7+8, 3 ml of fertilizer. Finally, to 9+10, 5 ml of fertilizer. Using tubing, air pumps, and air stones add an air supply. Wait 1 week. Take transmittance measurements using a spectrometer. Wait another week. Repeat measurements for final results.

Results

The transmittance levels had an overall decreasing pattern as the miracle gro levels increased: 95.25%-> 94.7%-> 94%-> 89.1%,-> 81.9%. When the transmittance is lower, there is less light passing through, meaning that the algae growth is high.

Conclusion

I accept my hypothesis. I stated that the algae without miracle gro would grow the least and the algae with the most fertilizer would grow the most, which is what my results stated, showing the detrimental effects of algae blooms.

Abstract

Objectives:

My objective was to see if the enzyme PETase (found naturally in the bacteria Ideonella Sakaiensis) could break down PET plastic in 4 weeks. The purpose is to find a way to reduce the amount of plastic on earth, since plastic affects every living organism on our planet, from wildlife to the food we eat.

Materials and Methods:

I used an E. Coli bacteria transformed with the gene for the production of the enzyme PETase (created by Beckham and Johnson at Addgene). The transformed E. Coli was exposed to a 2cm x 1cm rectangle of PET plastic. In my experiment, I had 3 groups. Groups 1 and 2 contain the transformed E. Coli bacteria being exposed to PET plastic in LB broth: group 1 with lysed cells and a protease cocktail applied, group 2 with neither procedures. Group 3 is my control, which contains PET plastic and LB broth. After the 3 groups were set up, they were left in an incubator for 4 weeks.

Results:

The results are the change in mass of each rectangle and if bubbles/holes formed in the plastics’ surface. Results: after 4 weeks, the mass of the control group and experimental group 2 stayed the same, and experimental group 1 decreased in mass by -0.0019 grams.

Conclusion/Discussions:

In conclusion, the PETase enzyme works best without lysing its cells. Because of this, I reject my hypothesis, as I originally thought group 2 would reduce in mass most, yet my data disproves this.

Abstract

Objectives

My objective was to determine whether Kaempferol or Apigenin is more successful at reducing the symptoms of Parkinson’s disease (PD) in fruit flies and at what dosage. I observed and recorded how these medications affected the activity of the flies.

Materials and Methods

I used fruit flies with the PARK8 gene, which is the fly equivalent to the LRRK2 gene in humans, that causes PD. PD often presents itself as loss of mobility. I put 28 flies, with different medication and dosages mixed into their culture, in the Trikinetic Activity Monitor and recorded their activity over a 100 hour period. Higher activity means the medication is more successful. I had 7 groups: a non-medicated group, 3 groups for Kaempferol (560µM, 840µM, and 1120µM), and 3 groups for Apigenin (1µL, 2µL, and 3µL).

Results

The results were based on the average activity of the flies for every 5 hours. The flies that received the 840µM of Kaempferol had the highest and longest activity out of both Kaempferol and Apigenin. Throughout the entire experiment the control that received no medication had the lowest activity.

Conclusion/Discussions

I rejected my hypothesis which was that Apigenin and Kaempferol would be equally successful in reducing the symptoms of PD and the highest dosage would be most successful. The data I collected demonstrated that Kaempferol is more successful than Apigenin at reducing PD symptoms in fruit flies and is most successful at the second highest dosage (840µM). This suggests that taking Kaempferol can help people with PD improve their condition.

Abstract

Objectives

My objective was to see if natural beta-blockers can aid in the treatment of hypertrophic cardiomyopathy by reducing the heart rate. To do this, I placed daphnia in a garlic, hibiscus, and hawthorn berry solution.

Materials and Methods

My experiment used 3 natural beta-blockers: garlic, hibiscus, and hawthorn berry. In total, I had 4 groups. For my control group, I used 350ml of spring water with no beta-blockers added. For my experimental groups, I had 350 ml of spring water and 0.4 g of each substance. I placed 4 daphnia in each beaker. After 24 hours, I measured the heart rate (bpm) of each daphnia under a microscope. Using a pipette, one at a time, I carefully removed the daphnia from their beaker and placed them on a living organism slide. I then counted each heartbeat for 10 seconds and then multiplied the result by 6.

Results

The results were based on the average beats per minute of each group. Hibiscus achieved the lowest heart rate (bpm) in daphnia. Hawthorn berry also reduced the heart rate of the daphnia, however, the garlic raised the heart rate of the daphnia.

Conclusion/Discussions

In conclusion, two out of the three substances lowered the heart rate of the daphnia. This disproves my hypothesis as I hypothesized that each group would decrease the heart rate. Now I know, hibiscus is the most effective in lowering the heart rate of daphnia. Additionally, I learned that garlic is ineffective.

Abstract

Objective

My objective was to determine the feasibility of implanting hydro-electric turbines in domestic sewage drains. To do this, I 3D printed a turbine, tested it with polyester fiber water and clean water, and recorded the energy produced.

Materials & Methods

My experiment included: 3D printer, polyester fibers, 1 ½ in. PVC Schedule 40 pipe, lego motor, liter beaker, lego generator, a funnel, and pipe sealant. All of the trials used the same amount of polyester fibers. I differed the height of my pipe stand (33°, 46°, & 71°) using clamps. The different heights demonstrated the force necessary for energy production. I designed my turbine housing so that the pipe components could fit in it. When setting up I secured the pipe and turbine in a stable manner so the motor could attach to the axle unobstructed. I used the pipe sealant to seal the pipe and turbine from water leakage once it was positioned.

Results

The results were based on the highest amount of energy the generator recorded. I noticed the group with no polyester fibers produced the most energy overall, the angle got higher, the water with polyester fibers also produced energy.

Conclusion/Discussion

In conclusion, the trials with no polyester fibers and the highest angle worked the best proving my hypothesis because it produced the most energy. I learned that domestic turbines could not operate in any piping that has matter running through it and they would do the best in a pipe with a severe angle.

Abstract

Objective

My objective was to see if fish get caught in Boyan Slat’s Ocean System with the presence of plastic. To do this, I placed plastic fish and plastic in a simulated ocean with the Ocean System present.

Materials/Methods

My experiment used a tub to act as a simulated ocean and a 2:3 ratio of cold water to lukewarm water to simulate the ocean. To simulate the Ocean System, I cut a rubber tube and attached it to a five-inch leather skirt. This was then put in the water and 10 fish and 10 pieces of plastic were added to the tub. I waited for five minutes to see how many fish or plastic pieces would be collected by the Ocean System. Finally, I recorded my findings. I did this over two trials.

Results

The Ocean System collected zero fish both trials, three pieces of plastic the first trial and six pieces of plastic the second trial. There was an average of 4.5 pieces of plastic collected.

Conclusion

In conclusion, the amount of plastic collected was more than the amount of fish caught in the Ocean System. There were 4.5 pieces of plastic collected compared to zero fish. This supports my hypothesis. I have learned that it is important to take into account the effects of man-made materials on marine life and the biodiversity of the environment.

Abstract

Objectives

My objective was to see which drink: coconut water, Powerade, or Gatorade contains the most electrolytes. To do this I assembled an electrolyte sensor kit for each drink as well as observed the effects each drink has on an onion.

Materials and Methods

My experiment used 3 different types of drinks to test which contains the most electrolytes using an electrolyte sensor kit. The materials included: Gatorade, Powerade, coconut water, and water. I used an electrolyte sensor kit (digital multimeter, alligator clips, copper wire, 9V battery and clips, and a k? resistor) to test electrolytes. In addition, I also used a microscope to observe the different effects on the onion based on the drinks. I placed one millimeter of each drink on the onion and observed movement or discoloration within the onion.

Results

These are the results for the drinks listed from most to least electrolytes: coconut water, Gatorade, Powerade, water. In addition to these results, after observing the onion under the influence of all these drinks, I found that the onion with coconut water had the most visible effects of movement and changes compared to Gatorade and Powerade.

Conclusion/Discussions

In conclusion, my results prove my hypothesis of coconut water contains the most electrolytes. Furthermore, my observation of the onion with coconut water further supports my hypothesis. After testing, coconut water is found to be the best source of electrolytes.

Abstract

Objectives

My objective was to see if UV light is able to damage and hinder the growth of yeast cells. To do this, I streaked yeast onto four agar plates and placed 2 under a UV light, and 2 were not.

Materials and Methods

My experiment used YED agar and plastic petri dishes to grow yeast cells which came in a tube. I swabbed this yeast onto 4 petri dishes using toothpicks, sealing and covering all with aluminum foil. Once the yeast grew, I collected yeast with a toothpick and swabbed 4 new petri dishes, sealing them with parafilm. 2 dishes were under a UV lamp and 2 dishes were covered with aluminum foil for 45 minutes. Then I covered 2 UV light exposed dishes with foil, letting them sit for 3 days. After 3 days, I uncovered each dish and measured how many boxes were filled with yeast growth using a petri dish grid.

Results

The results were based on the average growth of yeast after 3 days. The groups exposed to UV light had the least amount of yeast growth, while the groups hidden from the UV light had the most yeast growth.

Conclusion/Discussions

In conclusion, the yeast cells exposed to the UV light grew the least. This supports my hypothesis, because I hypothesized that the yeast cells exposed to UV light would exhibit the smallest growth. Now I know that the sun can be very damaging to yeast cells, which in this case simulated skin cells.

Abstract

The objective is to examine the correlation between foster parents' perception of the system and their retention rate in private agencies and the County system. A survey of 15 questions was emailed to foster parents through Guardians of Love (private) agency and County Agency. Responses were collected for 2 months with no incentives or rewards. Total of 133 responses were collected and stored on google form and later analyzed for interpretation using google spreadsheet. Based on the analysis, private agencies have a higher retention rate than County agencies. Overall, 75% drop-out rate after first year of fostering with a direct correlation with lack of support. In order to prevent future trauma of foster children, cultivating a positive perception of the foster system through sufficient support for foster parents is essential for increasing parent’s retention rate.

Abstract

Objectives

The Objective is to see if the lower-income areas in Los Angeles have a higher ozone level and more air pollution. This was completed through the collection of ozone levels in different locations.

Materials and Methods

In this experiment, an Ozone Detector was used to find the O3 levels of each location chosen to measure. O3 is the chemical formula for ozone which is an inorganic molecule. The locations were chosen using data stating the average income per area in LA. The locations were chosen as some of the highest and some of the lowest incomes. The method was to drive around Los Angeles and get out at the specific stops in Topanga, Palisades, Bel Aire, Van Nuys, Hollywood, Downtown LA and see the indicated number on the detector. The ozone level would remain stable for around a minute and that was the number recorded for each data point.

Results

I found that the lower the income area, the higher the air pollution and the higher O3 levels. As for the higher income areas, I found very similar data of low air pollution with safe air quality. I found that Bel Aire had the lowest ozone level and I found that Van Nuys had the highest level of ozone.

Conclusion/Discussions

The results of my experiment supported my hypothesis by displaying that the lower the average income in an area the more air pollution within the area. This shows the unfair treatment and living conditions that many Los Angeles residents are facing and dealing with.

Abstract

Objectives

The objective was to determine whether ozone levels differed depending on the time of day because of human impact.

Materials and Methods

 An ozone detector that automatically detects ozone was placed outside at fifteen minute intervals during four hours of the day, 9AM-10AM, 12PM-1PM, 3PM-4PM, and 6PM-7PM. The amount of ozone was recorded, as well as weather conditions (temperature, humidity and wind direction and speed) to determine if there was a confounding variable. Data for a control group came from placing the ozone detector inside where the ozone levels were more constant. This procedure was repeated for three different days. Once all the data was collected, the ozone levels were converted from ppm into AQI format, as AQI is the most common way to measure air quality. Data was analyzed by taking the average ozone levels spanning over three days.

Results

Ozone levels were found to be the highest in the morning at 9:30 AM, in the afternoon at 3:30 PM, and in the evening at 6:45 PM. However, despite there being differences in the ozone levels depending on the time of the day, when converted into AQI format, all the numbers fell within the “good” range.

Conclusion/Discussions

The results go against the initial hypothesis that there would be more significant variation in ozone levels depending on the time of the day. In general, if human impact is impacting ozone levels, it is not significant enough to cause concern in this area.

Abstract

Objective

My objective was to determine the most efficient twine-wrapping pattern for growing algae to help improve kelp farmers’ yields.

Methods

I used standard kelp-farming methods of inoculating and wrapping twine around a 1.5 inch diameter pvc pipe. I let the algae grow along the spool for 5 weeks on 4 spools in 4 tanks. The algae lived with 8 hours of light, constant filtration, 70 degree room temperature, and daily rotation of pipes. I then wrapped the algae-inoculated twine around pvc pipes in four different patterns: standard spiral, double-helix, double-helix and vertical, and double-helix criss-cross. Daily maintenance simulated the technique of a “kelp elevator” to maximize light and nutrients for three weeks.

Results

I measured the change in weight before and after algae growth in milligrams. My results showed a 50% increase in algae growth from standard to the double-helix pattern, 60% for the double-helix and vertical, and 80% for the double-helix criss-cross combo.

Conclusion/Discussions

The pattern which proved most effective was the double helix. I hypothesized that all three experimental patterns would produce more than the standard pattern, while the double helix would do the best overall. Approximately 40% of kelp yield is lost to poor twine-wrapping, and the double helix pattern has a 50% improvement, so I learned that the double helix would be most accurate. With this information I designed and prototyped a twine wrapper that mimics the double-helix pattern with open-differential-inspired gear systems that counter-rotate two spools of twine around the grow rope.

Abstract

Objective

The goal of my project was to develop a hearing aid that utilizes active noise cancellation (ANC) to reduce triggers and symptoms in individuals with Misophonia. I planned to do this by creating an artificial intelligence system to identify and cancel triggering sounds using Bluetooth earbud-driven ANC.

Materials & Methods

To test my hypothesis, I built and trained a convolutional neural network (CNN) to identify chewing sounds, which commonly trigger misophonia. I trained the CNN by uploading a variety of urban sounds and chewing sounds to the neural network and ran the sounds through it until the CNN accuracy rate had plateaued. Internally, the CNN developed spectrograms of the uploaded sounds and identified certain visual features that were unique to the chewing sounds. It then used those features to classify which sounds were triggering. Once the sounds were identified, I coded the framework to turn on the active noise cancellation feature of the wireless earbuds to cancel out the triggering sounds.

Results

After completing training, the CNN was able to identify triggering sounds with 97.8% average accuracy after the accuracy rate had plateaued. Additionally, the highest accuracy achieved was 100%.

Conclusion/Discussion

These numbers mean that my neural network would be highly successful in identifying triggering sounds when applied to a misophonia treatment. My hypothesis was supported because I was successful in creating and training the neural network to identify chewing sounds. When applied, my AI system would theoretically be able to accomplish the intended goal of reducing misophonia symptoms using AI-driven active noise cancellation.