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Read the passage carefully and answer the following questions:
Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.
Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.
We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.
But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.
The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.
Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.
SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.
We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.
Q. Which of the following cannot be inferred?
I. The effectiveness of 'big data' is determined not by its size but by its diversity.
II. Genes are a major factor influencing autism.
III. Consumption of a diet containing low levels of phenylalanine helps decrease the level of amino acid in the blood.
  • a)
    Only I
  • b)
    Only III
  • c)
    I and III
  • d)
    II and III
Correct answer is option 'C'. Can you explain this answer?
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Verified Answer
Read the passage carefully and answer the following questions:Five yea...
"..we need not only the largest but also the most diverse group of participants."
From this line, we can infer that along with a large dataset, we also need diversity to make big data effective. But is has not been mentioned that the size of the data is not important. Hence Statement I is a distortion and cannot be inferred.
"We now know that genes play a central role in the causes of these autisms,...”
From this line, we can infer that the role of genes in causing autism is prominent. Hence Statement II can be inferred.
In paragraph 7, it is implied that a diet containing low levels of phenylalanine was given to stabilize the level of amino acid in the blood. It has not been implied that the level of amino acid is decreased because of it. Hence Statement III cannot be inferred.
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Most Upvoted Answer
Read the passage carefully and answer the following questions:Five yea...
Explanation:
Big data effectiveness:
- The passage mentions that in order to get answers faster and be certain of results, a huge sample size of diverse participants is needed.
- Therefore, it can be inferred that the effectiveness of big data is not solely determined by its size but also by its diversity.
Genes as a major factor:
- The passage clearly states that genes play a central role in the causes of autism.
- It mentions that genetic changes, in combination with other causes, contribute to the "autisms" spectrum.
- Hence, it can be inferred that genes are a major factor influencing autism.
Diet and amino acid levels:
- The passage provides a specific example where a child with phenylketonuria (PKU) was put on a specialized diet containing low levels of phenylalanine to decrease the amino acid buildup in the blood.
- It directly states that with this knowledge, the family started their child on treatment with a specialized diet, which implies that the diet containing low levels of phenylalanine helps decrease the level of amino acid in the blood.
- Therefore, it can be inferred that the consumption of a diet containing low levels of phenylalanine helps decrease the level of amino acid in the blood.
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Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following is the author most likely to agree with?

Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.The purpose of the last three paragraphs is to

Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.All of the following have been discussed in the passage as benefits of having richer and bigger datasets EXCEPT

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Analyse the following passage and provide appropriate answers for the questions that follow:An effective way of describing what interpersonal communication is or is not, is perhaps to capture the underlying beliefs using specific game analogies.Communication as Bowling: The bowling model of message delivery is probably the most widely held view of communication. I think that's unfortunate. This model sees the bowler as the sender, who delivers the ball, which is the message. As it rolls down the lane (the channel), clutter on the boards (nois e) may deflect the ball (the message).Yet if it is aimed well, the ball strikes the passive pins (the target audience) with a predictable effect. In this one – way model of communication, the speaker (bowler) must take care to select a precisely crafted message (ball) and practice diligently to deliver it the same way every time.Of course, that makes sense only if target listeners are interchangeable, static pins waiting to be bowled over by our words – which they aren't.This has led some observers to propose an interactive model of interpersonal communication.Communication as Ping-Pong: Unlike bowling, PingPong is not a solo game. This fact alone makes it a better analogy for interpersonal communication. One party puts the conversational ball in play, and the other gets into position to receive. It takes more concentration and skill to receive than to serve because while the speaker (server) knows where the message is going, the listener (receiver) doesn't. Like a verbal or nonverbal message, the ball may appear straightforward yet have a deceptive spin. PingPong is a back-and-forth game; players switch roles continuously. One moment the person holding the paddle is an initiator; the next second the same player is a responder, gauging the effectiveness of his or her shot by the way the ball comes back. The repeated adjustment essential for good play closely parallels the feedback process described in a number of interpersonal communication theories.Communication as Dumb Charades: The game of charades best captures the simultaneous and collaborative nature of interpersonal communication. A charade is neither an action, like bowling a strike, nor an interaction, like a rally in Ping-Pong. It's a transaction.Charades is a mutual game; the actual play is cooperative.One member draws a title or slogan from a batch of possibilities and then tries to act it out visually for teammates in a silent mini drama. The goal is to get at least one partner to say the exact words that are on the slip of paper. Of course, the actor is prohibited from talking out loud.Suppose you drew the saying "God helps those who help themselves." For God you might try folding your hands and gazing upward. For help you could act out offering a helping hand or giving a leg-up boost over a fence. By pointing at a number of real or imaginary people you may elicit a response from them, and by this point a partner may shout out, "God helps those who help themselves." Success.Like charades, interpersonal communication is a mutual, on-going process of sending, receiving, and adapting verbal and nonverbal messages with another person to create and alter the images in both of our minds. Communication between us begins when there is some overlap between two images, and is effective to the extent that overlapincreases. But even if our mental pictures are congruent, communication will be partial as long as we interpret them differently. The idea that "God helps those who help themselves" could strike one person as a hollow promise, while the other might regard it as a divine stamp of approval for hard work.Dumb Charade goes beyond the simplistic analogy of bowling and ping pong. It views interpersonal communications as a complex transaction in which overlapping messages simultaneously affect and are affected by the other person and multiple other factors.Q. Which  of the  following  options   is  the   CLOSEST to  the  necessary  condition  of communication

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Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following cannot be inferred?I. The effectiveness of big data is determined not by its size but by its diversity.II. Genes are a major factor influencing autism.III. Consumption of a diet containing low levels of phenylalanine helps decrease the level of amino acid in the blood.a)Only Ib)Only IIIc)I and IIId)II and IIICorrect answer is option 'C'. Can you explain this answer?
Question Description
Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following cannot be inferred?I. The effectiveness of big data is determined not by its size but by its diversity.II. Genes are a major factor influencing autism.III. Consumption of a diet containing low levels of phenylalanine helps decrease the level of amino acid in the blood.a)Only Ib)Only IIIc)I and IIId)II and IIICorrect answer is option 'C'. Can you explain this answer? for CAT 2025 is part of CAT preparation. The Question and answers have been prepared according to the CAT exam syllabus. Information about Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following cannot be inferred?I. The effectiveness of big data is determined not by its size but by its diversity.II. Genes are a major factor influencing autism.III. Consumption of a diet containing low levels of phenylalanine helps decrease the level of amino acid in the blood.a)Only Ib)Only IIIc)I and IIId)II and IIICorrect answer is option 'C'. Can you explain this answer? covers all topics & solutions for CAT 2025 Exam. Find important definitions, questions, meanings, examples, exercises and tests below for Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following cannot be inferred?I. The effectiveness of big data is determined not by its size but by its diversity.II. Genes are a major factor influencing autism.III. Consumption of a diet containing low levels of phenylalanine helps decrease the level of amino acid in the blood.a)Only Ib)Only IIIc)I and IIId)II and IIICorrect answer is option 'C'. Can you explain this answer?.
Solutions for Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following cannot be inferred?I. The effectiveness of big data is determined not by its size but by its diversity.II. Genes are a major factor influencing autism.III. Consumption of a diet containing low levels of phenylalanine helps decrease the level of amino acid in the blood.a)Only Ib)Only IIIc)I and IIId)II and IIICorrect answer is option 'C'. Can you explain this answer? in English & in Hindi are available as part of our courses for CAT. Download more important topics, notes, lectures and mock test series for CAT Exam by signing up for free.
Here you can find the meaning of Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following cannot be inferred?I. The effectiveness of big data is determined not by its size but by its diversity.II. Genes are a major factor influencing autism.III. Consumption of a diet containing low levels of phenylalanine helps decrease the level of amino acid in the blood.a)Only Ib)Only IIIc)I and IIId)II and IIICorrect answer is option 'C'. Can you explain this answer? defined & explained in the simplest way possible. Besides giving the explanation of Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following cannot be inferred?I. The effectiveness of big data is determined not by its size but by its diversity.II. Genes are a major factor influencing autism.III. Consumption of a diet containing low levels of phenylalanine helps decrease the level of amino acid in the blood.a)Only Ib)Only IIIc)I and IIId)II and IIICorrect answer is option 'C'. Can you explain this answer?, a detailed solution for Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following cannot be inferred?I. The effectiveness of big data is determined not by its size but by its diversity.II. Genes are a major factor influencing autism.III. Consumption of a diet containing low levels of phenylalanine helps decrease the level of amino acid in the blood.a)Only Ib)Only IIIc)I and IIId)II and IIICorrect answer is option 'C'. Can you explain this answer? has been provided alongside types of Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following cannot be inferred?I. The effectiveness of big data is determined not by its size but by its diversity.II. Genes are a major factor influencing autism.III. Consumption of a diet containing low levels of phenylalanine helps decrease the level of amino acid in the blood.a)Only Ib)Only IIIc)I and IIId)II and IIICorrect answer is option 'C'. Can you explain this answer? theory, EduRev gives you an ample number of questions to practice Read the passage carefully and answer the following questions:Five years ago we launched the Simons Foundation Powering Autism Research for Knowledge (SPARK) to harness the power of big data by engaging hundreds of thousands of individuals with autism and their family members to participate in research. The more people who participate, the deeper and richer these data sets become, catalyzing research that is expanding our knowledge of both biology and behavior to develop more precise approaches to medical and behavioural issues.Genetic research has taught us that what we commonly call autism is actually a spectrum of hundreds of conditions that vary widely among adults and children. Across this spectrum, individuals share core symptoms and challenges with social interaction, restricted interests and/or repetitive behaviours.We now know that genes play a central role in the causes of these “autisms,” which are the result of genetic changes in combination with other causes including prenatal factors. Essentially, we will take a page from the playbook that oncologists use to treat certain types of cancer-based upon their genetic signatures and apply targeted therapeutic strategies to help people with autism.But in order to get answers faster and be certain of these results, SPARK and our research partners need a huge sample size: “bigger data.” To ensure an accurate inventory of all the major genetic contributors, and learn if and how different genetic variants contribute to autistic behaviours, we need not only the largest but also the most diverse group of participants.The genetic, medical and behavioural data SPARK collects from people with autism and their families is rich in detail and can be leveraged by many different investigators. Access to rich data sets draws talented scientists to the field of autism science to develop new methods of finding patterns in the data, better predicting associated behavioural and medical issues, and, perhaps, identifying more effective supports and treatments.Genetic research is already providing answers and insights about prognosis. For example, one SPARK family’s genetic result is strongly associated with a lack of spoken language but an ability to understand language. Armed with this information, the medical team provided the child with an assistive communication device that decreased tantrums that arose from the child’s frustration at being unable to express himself.SPARK has identified genetic causes of autism that can be treated. Through whole exome sequencing, SPARK identified a case of phenylketonuria (PKU) that was missed during newborn screening. This inherited disorder causes a buildup of amino acid in the blood, which can cause behaviour and movement problems, seizures and developmental disabilities. With this knowledge, the family started their child on treatment with a specialized diet including low levels of phenylalanine.We know that big data, with each person representing their unique profile of someone impacted by autism, will lead to many of the answers we seek. Better genetic insights, gleaned through a complex analysis of rich data, will help provide the means to support individuals—children and adults across the spectrum—through early intervention, assistive communication, tailored education and, someday, genetically-based treatments. We strive to enable every person with autism to be the best possible version of themselves.Q.Which of the following cannot be inferred?I. The effectiveness of big data is determined not by its size but by its diversity.II. Genes are a major factor influencing autism.III. Consumption of a diet containing low levels of phenylalanine helps decrease the level of amino acid in the blood.a)Only Ib)Only IIIc)I and IIId)II and IIICorrect answer is option 'C'. Can you explain this answer? tests, examples and also practice CAT tests.
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