1- During your semester abroad you are taking part in a field study in.pdfaggallerychennai
1. During your semester abroad you are taking part in a field study in a tropical localtion.
Although the area is in the tropics you are afforded indoor plumbing and electricity during your
stay. However, because you are at risk to specific parasitic roundworms your instructor explains
how to stay safe from infection. Which of the following statements will help you avoid
infection?
Multiple Choice
a. Mosquito repellent should be worn during the day and mosquito netting should be used while
sleeping to protect you from Wuchereria bancrofti .
b. Mosquito repellent should be worn during the day and mosquito netting should be used while
sleeping to protect you from Necator americanus .
c. Shoes (no open-toed shoes or sandals) or boots should be worn to prevent infection by
Wuchereria bancrofti .
d. Shoes (no open-toed shoes or sandals) or boots should be worn to prevent infection by
Necator americanus .
2. Most cnidarians possess two distinct body forms: the polyp, which is _________blank, and the
medusa, which is _________blank.
Multiple Choice
a. sessile; motile.
b. asymmetric; radially symmetric.
c. poisonous; nonpoisonous.
d. diplobastic; triploblastic.
3. Insects - of the subphylum Hexapoda - are remarkable for how successful they have been and
for their diversity. Which of these are key traits that help the insects, in particular, be so
widespread, diverse, and in so many ecological roles? true or false
a. Most insects have wings. True or False
b. Most insects molt their hard exoskeleton. True or False
c. Insect mouthparts are specialized in many different forms. True or False
d. Insects are parasites so they benefit from the work and nutrition of other animals. True or
False
e. The diets of insects, overall, are extremely varied, so different insects can specialize in almost
any food source. True or False
4. Your lab group is presented with an unknown mollusk. Your task is to assign it to one of the
major taxonomic classes. Which characteristic would allow you to say definitively that it belongs
to the Class Cephalopoda?
Multiple Choice
a. Mantle.
b. Gills.
c. Nephridia.
d. A closed circulatory system.
5. Jellyfish sting through specialized cells on their tentacles. Which of these has the most similar
function to the sting of a jellyfish:
Multiple Choice
a. The sting of a bee is because it injects venom to defend itself when threatened.
b. The bite of a snake because it injects venom to immobilize prey to eat.
c. The thorn of a cactus makes it too pointy to chew up.
d. The irritating oils of poison ivy or poison oak that rub onto animals that come in contact with
it.
6. Segmentation in the annelid worms has facilitated locomotion and specialization of different
parts of these animals. Evaluate the following statements about segmentation in the annelids and
determine if they are true or false.
A. Excretion is accomplished by paired protonephridia with flame cells in every segment of the
body. True or False
B. If the organs in one segment fa.
1- During your semester abroad you are taking part in a field study in.pdfaggallerychennai
1. During your semester abroad you are taking part in a field study in a tropical localtion.
Although the area is in the tropics you are afforded indoor plumbing and electricity during your
stay. However, because you are at risk to specific parasitic roundworms your instructor explains
how to stay safe from infection. Which of the following statements will help you avoid
infection?
Multiple Choice
a. Mosquito repellent should be worn during the day and mosquito netting should be used while
sleeping to protect you from Wuchereria bancrofti .
b. Mosquito repellent should be worn during the day and mosquito netting should be used while
sleeping to protect you from Necator americanus .
c. Shoes (no open-toed shoes or sandals) or boots should be worn to prevent infection by
Wuchereria bancrofti .
d. Shoes (no open-toed shoes or sandals) or boots should be worn to prevent infection by
Necator americanus .
2. Most cnidarians possess two distinct body forms: the polyp, which is _________blank, and the
medusa, which is _________blank.
Multiple Choice
a. sessile; motile.
b. asymmetric; radially symmetric.
c. poisonous; nonpoisonous.
d. diplobastic; triploblastic.
3. Insects - of the subphylum Hexapoda - are remarkable for how successful they have been and
for their diversity. Which of these are key traits that help the insects, in particular, be so
widespread, diverse, and in so many ecological roles? true or false
a. Most insects have wings. True or False
b. Most insects molt their hard exoskeleton. True or False
c. Insect mouthparts are specialized in many different forms. True or False
d. Insects are parasites so they benefit from the work and nutrition of other animals. True or
False
e. The diets of insects, overall, are extremely varied, so different insects can specialize in almost
any food source. True or False
4. Your lab group is presented with an unknown mollusk. Your task is to assign it to one of the
major taxonomic classes. Which characteristic would allow you to say definitively that it belongs
to the Class Cephalopoda?
Multiple Choice
a. Mantle.
b. Gills.
c. Nephridia.
d. A closed circulatory system.
5. Jellyfish sting through specialized cells on their tentacles. Which of these has the most similar
function to the sting of a jellyfish:
Multiple Choice
a. The sting of a bee is because it injects venom to defend itself when threatened.
b. The bite of a snake because it injects venom to immobilize prey to eat.
c. The thorn of a cactus makes it too pointy to chew up.
d. The irritating oils of poison ivy or poison oak that rub onto animals that come in contact with
it.
6. Segmentation in the annelid worms has facilitated locomotion and specialization of different
parts of these animals. Evaluate the following statements about segmentation in the annelids and
determine if they are true or false.
A. Excretion is accomplished by paired protonephridia with flame cells in every segment of the
body. True or False
B. If the organs in one segment fa.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
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Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.