Contribution of systematics to biology 2

•Download as PPTX, PDF•

3 likes•5,698 views

This document discusses how systematics contributes to both theoretical and applied biology. Theoretical biology includes population systematics, ethology, and evolution. Applied biology involves public health, biological control, conservation of species, and biological war.

Contribution of systematics
to Biology

• Theoratical biology
• Applied biology

Theoratical biology
• Population systematics
• Ethology
• Evolution

Applied biology
• Public health
• Biological control
• Conservation of species
• Biological war

Recommended

Systematics

Dr. Manoj Bangadkar

Lect01 Species and species concept

Lect01 Species and species concept

Lect01 Species and species concept

Prince Anwar Ali

ClassificationLouise Maine

Contribution to Systematic biology. KUST

Contribution to Systematic biology. KUST

Contribution to Systematic biology. KUST

Animal Systematics Lecture 2

Animal Systematics Lecture 2

Animal Systematics Lecture 2

Hamid Ur-Rahman

Contribution of systematics to biology by noor zada

Contribution of systematics to biology by noor zada

Contribution of systematics to biology by noor zada

Chapter 18 Lecture- Classification

Chapter 18 Lecture- Classification

Chapter 18 Lecture- Classification

Mary Beth Smith

Basic concepts in systamatics,taxonomy and phylogenetic tree

Basic concepts in systamatics,taxonomy and phylogenetic tree

Basic concepts in systamatics,taxonomy and phylogenetic tree

Recommended

Systematics

Dr. Manoj Bangadkar

Lect01 Species and species concept

Lect01 Species and species concept

Lect01 Species and species concept

Prince Anwar Ali

ClassificationLouise Maine

Contribution to Systematic biology. KUST

Contribution to Systematic biology. KUST

Contribution to Systematic biology. KUST

Animal Systematics Lecture 2

Animal Systematics Lecture 2

Animal Systematics Lecture 2

Hamid Ur-Rahman

Contribution of systematics to biology by noor zada

Contribution of systematics to biology by noor zada

Contribution of systematics to biology by noor zada

Chapter 18 Lecture- Classification

Chapter 18 Lecture- Classification

Chapter 18 Lecture- Classification

Mary Beth Smith

Basic concepts in systamatics,taxonomy and phylogenetic tree

Basic concepts in systamatics,taxonomy and phylogenetic tree

Basic concepts in systamatics,taxonomy and phylogenetic tree

Species concepts 4

Species concepts 4

Species concepts 4

Classification of animals: Protozoa, Porifera and Coelenterata

Classification of animals: Protozoa, Porifera and Coelenterata

Classification of animals: Protozoa, Porifera and Coelenterata

Dr. Sudesh D. Rathod, B N Bandodkar College of Science

Species concept

Species concept

Species concept

Madhusudan Patra

Species are groups of actually or potentially interbreeding populations which are reproductively isolated from other such groups. The biological species concept has been prevalent in the evolutionary literature for the last several decades and is emphasized in many college-level biology courses. It is probably the species concept most familiar to biologists in diverse fields, such as conservation biology, forestry, fisheries, and wildlife management. Species defined by the biological species concept have also been championed as units of conservation. The species concept for most phycologists is based on the morphological characters and hence the term ‘species’ means morphospecies. On the other hand, for evolutionary biologists, the term means biological species that can be defined as a reproductive community of populations (reproductively isolated from others) that occupy a specific niche in Nature.

Biosystematics, and types of taxonomy

Biosystematics, and types of taxonomy

Biosystematics, and types of taxonomy

Chapter 26: Taxonomy and Systematics

Chapter 26: Taxonomy and Systematics

Chapter 26: Taxonomy and Systematics moincamacaro

Principles of systematic zoology

Principles of systematic zoology

Principles of systematic zoology

Animal Systematics Lecture 3

Animal Systematics Lecture 3

Animal Systematics Lecture 3

Hamid Ur-Rahman

Evolution and systematics.ppt

Evolution and systematics.ppt

Evolution and systematics.pptJasper Obico

Taxonomy

Rosalie Madayag

Microtaxonomybiotecnika

Species Concepts And Speciation

Species Concepts And Speciation

Species Concepts And SpeciationMark McGinley

Taxonomic collection and identification

Taxonomic collection and identification

Taxonomic collection and identification

What is Systematics

What is Systematics

What is Systematics

Shaina Mavreen Villaroza

Species concept

Species concept

Species concept

Evolutionary Classification

Evolutionary Classification

Evolutionary Classification

SystematicsJohn Wilkins

Full 7th chapter paper B miller and harley

Full 7th chapter paper B miller and harley

Full 7th chapter paper B miller and harley

Superior college

History of Evolution

History of Evolution

History of Evolution

Taxonomic Characters

Taxonomic Characters

Taxonomic Characters

Introduction to Modern Biosystemaics for Fungal Classification

Introduction to Modern Biosystemaics for Fungal Classification

Introduction to Modern Biosystemaics for Fungal Classification

Mrinal Vashisth

Cladistic systematics

Cladistic systematics

Cladistic systematics

Systematics

siddheshwar laddha

More Related Content

What's hot

Species concepts 4

Species concepts 4

Species concepts 4

Classification of animals: Protozoa, Porifera and Coelenterata

Classification of animals: Protozoa, Porifera and Coelenterata

Classification of animals: Protozoa, Porifera and Coelenterata

Dr. Sudesh D. Rathod, B N Bandodkar College of Science

Species concept

Species concept

Species concept

Madhusudan Patra

Species are groups of actually or potentially interbreeding populations which are reproductively isolated from other such groups. The biological species concept has been prevalent in the evolutionary literature for the last several decades and is emphasized in many college-level biology courses. It is probably the species concept most familiar to biologists in diverse fields, such as conservation biology, forestry, fisheries, and wildlife management. Species defined by the biological species concept have also been championed as units of conservation. The species concept for most phycologists is based on the morphological characters and hence the term ‘species’ means morphospecies. On the other hand, for evolutionary biologists, the term means biological species that can be defined as a reproductive community of populations (reproductively isolated from others) that occupy a specific niche in Nature.

Biosystematics, and types of taxonomy

Biosystematics, and types of taxonomy

Biosystematics, and types of taxonomy

Chapter 26: Taxonomy and Systematics

Chapter 26: Taxonomy and Systematics

Chapter 26: Taxonomy and Systematics moincamacaro

Principles of systematic zoology

Principles of systematic zoology

Principles of systematic zoology

Animal Systematics Lecture 3

Animal Systematics Lecture 3

Animal Systematics Lecture 3

Hamid Ur-Rahman

Evolution and systematics.ppt

Evolution and systematics.ppt

Evolution and systematics.pptJasper Obico

Taxonomy

Rosalie Madayag

Microtaxonomybiotecnika

Species Concepts And Speciation

Species Concepts And Speciation

Species Concepts And SpeciationMark McGinley

Taxonomic collection and identification

Taxonomic collection and identification

Taxonomic collection and identification

What is Systematics

What is Systematics

What is Systematics

Shaina Mavreen Villaroza

Species concept

Species concept

Species concept

Evolutionary Classification

Evolutionary Classification

Evolutionary Classification

SystematicsJohn Wilkins

Full 7th chapter paper B miller and harley

Full 7th chapter paper B miller and harley

Full 7th chapter paper B miller and harley

Superior college

History of Evolution

History of Evolution

History of Evolution

Taxonomic Characters

Taxonomic Characters

Taxonomic Characters

Introduction to Modern Biosystemaics for Fungal Classification

Introduction to Modern Biosystemaics for Fungal Classification

Introduction to Modern Biosystemaics for Fungal Classification

Mrinal Vashisth

What's hot (20)

Species concepts 4

Species concepts 4

Species concepts 4

Classification of animals: Protozoa, Porifera and Coelenterata

Classification of animals: Protozoa, Porifera and Coelenterata

Classification of animals: Protozoa, Porifera and Coelenterata

Species concept

Species concept

Species concept

Biosystematics, and types of taxonomy

Biosystematics, and types of taxonomy

Biosystematics, and types of taxonomy

Chapter 26: Taxonomy and Systematics

Chapter 26: Taxonomy and Systematics

Chapter 26: Taxonomy and Systematics

Principles of systematic zoology

Principles of systematic zoology

Principles of systematic zoology

Animal Systematics Lecture 3

Animal Systematics Lecture 3

Animal Systematics Lecture 3

Evolution and systematics.ppt

Evolution and systematics.ppt

Evolution and systematics.ppt

Taxonomy

Microtaxonomy

Species Concepts And Speciation

Species Concepts And Speciation

Species Concepts And Speciation

Taxonomic collection and identification

Taxonomic collection and identification

Taxonomic collection and identification

What is Systematics

What is Systematics

What is Systematics

Species concept

Species concept

Species concept

Evolutionary Classification

Evolutionary Classification

Evolutionary Classification

Systematics

Full 7th chapter paper B miller and harley

Full 7th chapter paper B miller and harley

Full 7th chapter paper B miller and harley

History of Evolution

History of Evolution

History of Evolution

Taxonomic Characters

Taxonomic Characters

Taxonomic Characters

Introduction to Modern Biosystemaics for Fungal Classification

Introduction to Modern Biosystemaics for Fungal Classification

Introduction to Modern Biosystemaics for Fungal Classification

Viewers also liked

Cladistic systematics

Cladistic systematics

Cladistic systematics

Systematics

siddheshwar laddha

New Systematics

New Systematics

New Systematics

Polytypic species concept

Polytypic species concept

Polytypic species concept

History of taxonomy 3

History of taxonomy 3

History of taxonomy 3

Vertebrate systematics

Vertebrate systematics

Vertebrate systematics

Botanical nomenclature

Botanical nomenclature

Botanical nomenclature

chemo-taxonomy-of-medicinal-plant

chemo-taxonomy-of-medicinal-plant

chemo-taxonomy-of-medicinal-plant

Dr. Harish Kakrani

evidences of anatomy, cytology and chemistry to plant taxonomy

evidences of anatomy, cytology and chemistry to plant taxonomy

evidences of anatomy, cytology and chemistry to plant taxonomy

Plant taxonomy

Vivek Srivastava

Blooms Taxonomy Made Easy

Blooms Taxonomy Made Easy

Blooms Taxonomy Made EasyLaura Davis

Viewers also liked (11)

Cladistic systematics

Cladistic systematics

Cladistic systematics

Systematics

New Systematics

New Systematics

New Systematics

Polytypic species concept

Polytypic species concept

Polytypic species concept

History of taxonomy 3

History of taxonomy 3

History of taxonomy 3

Vertebrate systematics

Vertebrate systematics

Vertebrate systematics

Botanical nomenclature

Botanical nomenclature

Botanical nomenclature

chemo-taxonomy-of-medicinal-plant

chemo-taxonomy-of-medicinal-plant

chemo-taxonomy-of-medicinal-plant

evidences of anatomy, cytology and chemistry to plant taxonomy

evidences of anatomy, cytology and chemistry to plant taxonomy

evidences of anatomy, cytology and chemistry to plant taxonomy

Plant taxonomy

Blooms Taxonomy Made Easy

Blooms Taxonomy Made Easy

Blooms Taxonomy Made Easy

More from Aftab Badshah

Economic Crisis in SriLanka.pptx

Economic Crisis in SriLanka.pptx

Economic Crisis in SriLanka.pptx

This presentation elaborates the economic crisis in Sri Lanka. It explains the causes of economic instability in Sri Lanka and the factors worsening it. Such miserable economic situation is presenting valuable lessons for other sister asian countries to counter their economic instability. Pakistan, a sister country of Sri Lanka is facing severe political and economic instability these days. Pakistan is learning from the Sri Lankan economic situation and tending to improve its economy but the extreme political instability is hurdling and exacerbating the economic crisis. However, policies are underway to counter the economic crisis and more probably Pakistan will escape the Sri Lankan experience.

Classification of cat

Classification of cat

Classification of cat

Zahavi handicapp theory

Zahavi handicapp theory

Zahavi handicapp theory

What is evolution

What is evolution

What is evolution

The theory of endosymbiosis says that eukaryote cells have evolved from a sym...

The theory of endosymbiosis says that eukaryote cells have evolved from a sym...

The theory of endosymbiosis says that eukaryote cells have evolved from a sym...

Special creation theory

Special creation theory

Special creation theory

Selection pressure

Selection pressure

Selection pressure

Rats

Rabbits

Pap.macroevolution

Pap.macroevolution

Pap.macroevolution

Paleontological evidence of evolution

Paleontological evidence of evolution

Paleontological evidence of evolution

Mimicry

Mutation pressure

Mutation pressure

Mutation pressure

Microevolution

Macroevolution

Genetic drift

Fisher theory

Extinction

Evolution theories

Evolution theories

Evolution theories

Evidences from comparative embryology

Evidences from comparative embryology

Evidences from comparative embryology

More from Aftab Badshah (20)

Economic Crisis in SriLanka.pptx

Economic Crisis in SriLanka.pptx

Economic Crisis in SriLanka.pptx

Classification of cat

Classification of cat

Classification of cat

Zahavi handicapp theory

Zahavi handicapp theory

Zahavi handicapp theory

What is evolution

What is evolution

What is evolution

The theory of endosymbiosis says that eukaryote cells have evolved from a sym...

The theory of endosymbiosis says that eukaryote cells have evolved from a sym...

The theory of endosymbiosis says that eukaryote cells have evolved from a sym...

Special creation theory

Special creation theory

Special creation theory

Selection pressure

Selection pressure

Selection pressure

Rats

Rabbits

Pap.macroevolution

Pap.macroevolution

Pap.macroevolution

Paleontological evidence of evolution

Paleontological evidence of evolution

Paleontological evidence of evolution

Mimicry

Mutation pressure

Mutation pressure

Mutation pressure

Microevolution

Macroevolution

Genetic drift

Fisher theory

Extinction

Evolution theories

Evolution theories

Evolution theories

Evidences from comparative embryology

Evidences from comparative embryology

Evidences from comparative embryology

Recently uploaded

Richard's entangled aventures in wonderland

Richard's entangled aventures in wonderland

Richard's entangled aventures in wonderland

Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.

Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...

Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...

Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...

Since volcanic activity was first discovered on Io from Voyager images in 1979, changes on Io’s surface have been monitored from both spacecraft and ground-based telescopes. Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images show that a plume deposit from a powerful eruption at Pillan Patera has covered part of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive optics at visible wavelengths.

FAIR & AI Ready KGs for Explainable Predictions

FAIR & AI Ready KGs for Explainable Predictions

FAIR & AI Ready KGs for Explainable Predictions

Michel Dumontier

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.

Anemia_ different types_causes_ conditions

Anemia_ different types_causes_ conditions

Anemia_ different types_causes_ conditions

Orion Air Quality Monitoring Systems - CWS

Orion Air Quality Monitoring Systems - CWS

Orion Air Quality Monitoring Systems - CWS

Columbia Weather Systems

ESR_factors_affect-clinic significance-Pathysiology.pptx

ESR_factors_affect-clinic significance-Pathysiology.pptx

ESR_factors_affect-clinic significance-Pathysiology.pptx

NuGOweek 2024 Ghent - programme - final version

NuGOweek 2024 Ghent - programme - final version

NuGOweek 2024 Ghent - programme - final version

GBSN- Microbiology (Lab 3) Gram Staining

GBSN- Microbiology (Lab 3) Gram Staining

GBSN- Microbiology (Lab 3) Gram Staining

Body fluids_tonicity_dehydration_hypovolemia_hypervolemia.pptx

Body fluids_tonicity_dehydration_hypovolemia_hypervolemia.pptx

Body fluids_tonicity_dehydration_hypovolemia_hypervolemia.pptx

platelets_clotting_biogenesis.clot retractionpptx

platelets_clotting_biogenesis.clot retractionpptx

platelets_clotting_biogenesis.clot retractionpptx

Multi-source connectivity as the driver of solar wind variability in the heli...

Multi-source connectivity as the driver of solar wind variability in the heli...

Multi-source connectivity as the driver of solar wind variability in the heli...

The ambient solar wind that flls the heliosphere originates from multiple sources in the solar corona and is highly structured. It is often described as high-speed, relatively homogeneous, plasma streams from coronal holes and slow-speed, highly variable, streams whose source regions are under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify solar wind sources and understand what drives the complexity seen in the heliosphere. By combining magnetic feld modelling and spectroscopic techniques with high-resolution observations and measurements, we show that the solar wind variability detected in situ by Solar Orbiter in March 2022 is driven by spatio-temporal changes in the magnetic connectivity to multiple sources in the solar atmosphere. The magnetic feld footpoints connected to the spacecraft moved from the boundaries of a coronal hole to one active region (12961) and then across to another region (12957). This is refected in the in situ measurements, which show the transition from fast to highly Alfvénic then to slow solar wind that is disrupted by the arrival of a coronal mass ejection. Our results describe solar wind variability at 0.5 au but are applicable to near-Earth observatories.

Lab report on liquid viscosity of glycerin

Lab report on liquid viscosity of glycerin

Lab report on liquid viscosity of glycerin

ossaicprecious19

RNA INTERFERENCE: UNRAVELING GENETIC SILENCING

RNA INTERFERENCE: UNRAVELING GENETIC SILENCING

RNA INTERFERENCE: UNRAVELING GENETIC SILENCING

AADYARAJPANDEY1

Introduction: RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression. It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences. dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants. This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes. What are small ncRNAs? micro RNA (miRNA) short interfering RNA (siRNA) Properties of small non-coding RNA: Involved in silencing mRNA transcripts. Called “small” because they are usually only about 21-24 nucleotides long. Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered). Silence an mRNA by base pairing with some sequence on the mRNA. Discovery of siRNA? The first small RNA: In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the development of the worm C. elegans. Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14. Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions. Types of RNAi ( non coding RNA) MiRNA Length (23-25 nt) Trans acting Binds with target MRNA in mismatch Translation inhibition Si RNA Length 21 nt. Cis acting Bind with target Mrna in perfect complementary sequence Piwi-RNA Length ; 25 to 36 nt. Expressed in Germ Cells Regulates trnasposomes activity MECHANISM OF RNAI: First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces. Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands. The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it. THE RISC COMPLEX: RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA Unwinding of double stranded Si RNA by ATP independent Helicase Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA. DICER: endonuclease (RNase Family III) Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC) One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute ARGONAUTE PROTEIN : 1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA 2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity. MiRNA: The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .

Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...

Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...

Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...

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.

Penicillin...........................pptx

Penicillin...........................pptx

Penicillin...........................pptx

Citrus Greening Disease and its Management

Citrus Greening Disease and its Management

Citrus Greening Disease and its Management

subedisuryaofficial

Predicting property prices with machine learning algorithms.pdf

Predicting property prices with machine learning algorithms.pdf

Predicting property prices with machine learning algorithms.pdf

Structures and textures of metamorphic rocks

Structures and textures of metamorphic rocks

Structures and textures of metamorphic rocks

Richard's aventures in two entangled wonderlands

Richard's aventures in two entangled wonderlands

Richard's aventures in two entangled wonderlands

Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.

Astronomy Update- Curiosity’s exploration of Mars _ Local Briefs _ leadertele...

Astronomy Update- Curiosity’s exploration of Mars _ Local Briefs _ leadertele...

Astronomy Update- Curiosity’s exploration of Mars _ Local Briefs _ leadertele...

NathanBaughman3

Recently uploaded (20)

Richard's entangled aventures in wonderland

Richard's entangled aventures in wonderland

Richard's entangled aventures in wonderland

Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...

Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...

Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...

FAIR & AI Ready KGs for Explainable Predictions

FAIR & AI Ready KGs for Explainable Predictions

FAIR & AI Ready KGs for Explainable Predictions

Anemia_ different types_causes_ conditions

Anemia_ different types_causes_ conditions

Anemia_ different types_causes_ conditions

Orion Air Quality Monitoring Systems - CWS

Orion Air Quality Monitoring Systems - CWS

Orion Air Quality Monitoring Systems - CWS

ESR_factors_affect-clinic significance-Pathysiology.pptx

ESR_factors_affect-clinic significance-Pathysiology.pptx

ESR_factors_affect-clinic significance-Pathysiology.pptx

NuGOweek 2024 Ghent - programme - final version

NuGOweek 2024 Ghent - programme - final version

NuGOweek 2024 Ghent - programme - final version

GBSN- Microbiology (Lab 3) Gram Staining

GBSN- Microbiology (Lab 3) Gram Staining

GBSN- Microbiology (Lab 3) Gram Staining

Body fluids_tonicity_dehydration_hypovolemia_hypervolemia.pptx

Body fluids_tonicity_dehydration_hypovolemia_hypervolemia.pptx

Body fluids_tonicity_dehydration_hypovolemia_hypervolemia.pptx

platelets_clotting_biogenesis.clot retractionpptx

platelets_clotting_biogenesis.clot retractionpptx

platelets_clotting_biogenesis.clot retractionpptx

Multi-source connectivity as the driver of solar wind variability in the heli...

Multi-source connectivity as the driver of solar wind variability in the heli...

Multi-source connectivity as the driver of solar wind variability in the heli...

Lab report on liquid viscosity of glycerin

Lab report on liquid viscosity of glycerin

Lab report on liquid viscosity of glycerin

RNA INTERFERENCE: UNRAVELING GENETIC SILENCING

RNA INTERFERENCE: UNRAVELING GENETIC SILENCING

RNA INTERFERENCE: UNRAVELING GENETIC SILENCING

Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...

Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...

Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...

Penicillin...........................pptx

Penicillin...........................pptx

Penicillin...........................pptx

Citrus Greening Disease and its Management

Citrus Greening Disease and its Management

Citrus Greening Disease and its Management

Predicting property prices with machine learning algorithms.pdf

Predicting property prices with machine learning algorithms.pdf

Predicting property prices with machine learning algorithms.pdf

Structures and textures of metamorphic rocks

Structures and textures of metamorphic rocks

Structures and textures of metamorphic rocks

Richard's aventures in two entangled wonderlands

Richard's aventures in two entangled wonderlands

Richard's aventures in two entangled wonderlands

Astronomy Update- Curiosity’s exploration of Mars _ Local Briefs _ leadertele...

Astronomy Update- Curiosity’s exploration of Mars _ Local Briefs _ leadertele...

Astronomy Update- Curiosity’s exploration of Mars _ Local Briefs _ leadertele...

Contribution of systematics to biology 2

1. Contribution of systematics to Biology

2. • Theoratical biology • Applied biology

3. Theoratical biology • Population systematics • Ethology • Evolution

4. Applied biology • Public health • Biological control • Conservation of species • Biological war