Talk about my experiences as a mushroom hunter. Concentrates on an old favourite, fly agaric, and a strange new visitor to the Netherlands: the Jack-O'-Lantern mushroom.
Added, same day: connections to Data Science, Machine Learning, Big Data and AI
But then I discovered that Slideshare no longer allows you to update the *slides* of a talk. I am now looking for an alternative provider, which has heard of the notion of "version control".
Email me if you want to see the latest version.
Talk about my experiences as a mushroom hunter. Concentrates on an old favourite, fly agaric, and a strange new visitor to the Netherlands: the Jack-O'-Lantern mushroom. Connections to Data Science, Machine Learning, Big Data and AI. Also environmental issues.
you will learn about
1 What is microorganisms' .
2.types of microorganisms' .
3 .Advantages and Disadvantages of microorganisms' .
4. Examples of microorganisms' .
5. microorganism on microscope .
Thank you .
Fungi get their nutrition by absorbing organic compounds from the environment. Fungi are heterotrophic: they rely solely on carbon obtained from other organisms for their metabolism and nutrition. Fungi have evolved in a way that allows many of them to use a large variety of organic substrates for growth, including simple compounds such as nitrate, ammonia, acetate, or ethanol. Their mode of nutrition defines the role of fungi in their environment.
Fungi obtain nutrients in three different ways:
They decompose dead organic matter. A saprotroph is an organism that obtains its nutrients from non-living organic matter, usually dead and decaying plant or animal matter, by absorbing soluble organic compounds. Saprotrophic fungi play very important roles as recyclers in ecosystem energy flow and biogeochemical cycles. Saprophytic fungi, such as shiitake (Lentinula edodes) and oyster mushrooms (Pleurotus ostreatus), decompose dead plant and animal tissue by releasing enzymes from hyphal tips. In this way, they recycle organic materials back into the surrounding environment. Because of these abilities, fungi are the primary decomposers in forests.
They feed on living hosts. As parasites, fungi live in or on other organisms and get their nutrients from their host. Parasitic fungi use enzymes to break down living tissue, which may cause illness in the host. Disease-causing fungi are parasitic. Recall that parasitism is a type of symbiotic relationship between organisms of different species in which one, the parasite, benefits from a close association with the other, the host, which is harmed.
They live mutualistically with other organisms. Mutualistic fungi live harmlessly with other living organisms. Recall that mutualism is an interaction between individuals of two different species, in which both individuals benefit.
Talk about my experiences as a mushroom hunter. Concentrates on an old favourite, fly agaric, and a strange new visitor to the Netherlands: the Jack-O'-Lantern mushroom. Connections to Data Science, Machine Learning, Big Data and AI. Also environmental issues.
you will learn about
1 What is microorganisms' .
2.types of microorganisms' .
3 .Advantages and Disadvantages of microorganisms' .
4. Examples of microorganisms' .
5. microorganism on microscope .
Thank you .
Fungi get their nutrition by absorbing organic compounds from the environment. Fungi are heterotrophic: they rely solely on carbon obtained from other organisms for their metabolism and nutrition. Fungi have evolved in a way that allows many of them to use a large variety of organic substrates for growth, including simple compounds such as nitrate, ammonia, acetate, or ethanol. Their mode of nutrition defines the role of fungi in their environment.
Fungi obtain nutrients in three different ways:
They decompose dead organic matter. A saprotroph is an organism that obtains its nutrients from non-living organic matter, usually dead and decaying plant or animal matter, by absorbing soluble organic compounds. Saprotrophic fungi play very important roles as recyclers in ecosystem energy flow and biogeochemical cycles. Saprophytic fungi, such as shiitake (Lentinula edodes) and oyster mushrooms (Pleurotus ostreatus), decompose dead plant and animal tissue by releasing enzymes from hyphal tips. In this way, they recycle organic materials back into the surrounding environment. Because of these abilities, fungi are the primary decomposers in forests.
They feed on living hosts. As parasites, fungi live in or on other organisms and get their nutrients from their host. Parasitic fungi use enzymes to break down living tissue, which may cause illness in the host. Disease-causing fungi are parasitic. Recall that parasitism is a type of symbiotic relationship between organisms of different species in which one, the parasite, benefits from a close association with the other, the host, which is harmed.
They live mutualistically with other organisms. Mutualistic fungi live harmlessly with other living organisms. Recall that mutualism is an interaction between individuals of two different species, in which both individuals benefit.
In our mysterious world of nature, animals depend on one another, in terms of food, shelter and even transportation. This form of dependence is named symbiosis. One form of symbiosis is commensalism. Let us explore the concept of commensalism together!
5 kingdom classification | Whittaker classificationSubrata Das
Youtube video Link: https://youtu.be/7AgJpLvAv6Q
Five kingdom classification
-R.H. Whittaker in 1969
1. Monera— Kingdom of Prokaryotes
2. Protista— Kingdom of Unicellular Eukaryotes
3. Fungi— Kingdom of Multicellular Decomposers
4. Plantae — Kingdom of Multicellular Producers
5. Animalia — Kingdom of Multicellular Consumers
Criteria for classification
Complexity of cell structure- prokaryote, eukaryote
Complexity of organisms- unicellular, multicellular
Mode of nutrition- photo-autotrophy (in plantae), absorptive heterotrophy or saprophytic (in fungi) and ingestive heterotrophy (in animalia).
Ecological Lifestyle- Producers(plants), consumers( animals), decomposers(fungi)
Phylogenetic relationships- prokaryote to eukaryote, unicellular to multicellular
Advantages of Five Kingdom Classification
1. Separation of prokaryotes in a separate kingdom of Monera as prokaryotes differ from all other organisms in their genetic, cellular, reproductive and physiological organization.
2. Fungi have never been related to plants. They have their own biochemical, physiological and structural organization. Separation of fungi into a separate kingdom was another advantage.
Drawbacks of Five Kingdom Classification
Viruses have not been included in this system of classification.
Archaebacteria differ from other bacteria in structure, composition and physiology.
protista has so many diversities that it is difficult to keep them together. For example, protista contain both walled and wall-less organisms, photosynthetic and non-photosynthetic organisms, unicellular and filamentous or mycelial organisms.
Unicellular algae are kept in kingdom Protista, whereas algae like multicelluar organisms are ketp in kingdom Plantae. But similar organisms must be put together.
In our mysterious world of nature, animals depend on one another, in terms of food, shelter and even transportation. This form of dependence is named symbiosis. One form of symbiosis is commensalism. Let us explore the concept of commensalism together!
5 kingdom classification | Whittaker classificationSubrata Das
Youtube video Link: https://youtu.be/7AgJpLvAv6Q
Five kingdom classification
-R.H. Whittaker in 1969
1. Monera— Kingdom of Prokaryotes
2. Protista— Kingdom of Unicellular Eukaryotes
3. Fungi— Kingdom of Multicellular Decomposers
4. Plantae — Kingdom of Multicellular Producers
5. Animalia — Kingdom of Multicellular Consumers
Criteria for classification
Complexity of cell structure- prokaryote, eukaryote
Complexity of organisms- unicellular, multicellular
Mode of nutrition- photo-autotrophy (in plantae), absorptive heterotrophy or saprophytic (in fungi) and ingestive heterotrophy (in animalia).
Ecological Lifestyle- Producers(plants), consumers( animals), decomposers(fungi)
Phylogenetic relationships- prokaryote to eukaryote, unicellular to multicellular
Advantages of Five Kingdom Classification
1. Separation of prokaryotes in a separate kingdom of Monera as prokaryotes differ from all other organisms in their genetic, cellular, reproductive and physiological organization.
2. Fungi have never been related to plants. They have their own biochemical, physiological and structural organization. Separation of fungi into a separate kingdom was another advantage.
Drawbacks of Five Kingdom Classification
Viruses have not been included in this system of classification.
Archaebacteria differ from other bacteria in structure, composition and physiology.
protista has so many diversities that it is difficult to keep them together. For example, protista contain both walled and wall-less organisms, photosynthetic and non-photosynthetic organisms, unicellular and filamentous or mycelial organisms.
Unicellular algae are kept in kingdom Protista, whereas algae like multicelluar organisms are ketp in kingdom Plantae. But similar organisms must be put together.
Max Arkley-Smith Fungi Presentation 1704.pptxLisBastian2
Max Arkley-Smith's Fungi Presentation for Lithgow Local News, a Bioregional Collaboration with the Blue Mountains Planetary Health Initiative: www.lithgowlocalnews.com
Richard's aventures in two entangled wonderlandsRichard Gill
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.
Richard's entangled aventures in wonderlandRichard Gill
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.
A tale of two Lucys - Delft lecture - March 4, 2024Richard Gill
TUDelft Seminar Probability & Statistics, 4 March 2024
15:45 T/M 16:45 - LOCATION: LECTURE HALL D@TA
Lucia de Berk, a Dutch nurse, was arrested in 2001, and tried and convicted of serial murder of patients in her care. At a lower court the only hard evidence against her was the result of a probability calculation: the chance that she was present at so many suspicious deaths and collapses in the hospitals where she had worked was 1 in 342 million. During appeal proceedings at a higher court, the prosecution shifted gears and gave the impression that there was now hard evidence that she had killed one baby. Having established that she was a killer and a liar (she claimed innocence) it was not difficult to pin another 9 deaths and collapses on her. No statistics were needed any more. In 2005 the conviction was confirmed by the supreme court. But at the same time, some whistleblowers started getting attention from the media. A long fight for the hearts and minds of the public, and a long fight to have the case reopened (without any new evidence - only new scientific interpretation of existing evidence) began and ended in 2010 with Lucia’s complete exoneration. A number of statisticians played a big role in that fight. The idea that the conviction was purely based on objective scientific evidence was actually an illusion. This needed to be explained to journalists & to the public. And the judiciary needed to be convinced that something had to be done about it. Lucy Letby, an English nurse, was arrested in 2020 for murder of a large number of babies at a hospital in Chester, UK, in Jan 2015-June 2016. Her trial started in 2022 and took 10 months. She was convicted and given a whole life sentence in 2023. In my opinion, the similarities between the two cases are horrific. Again there is statistical evidence: a cluster of unexplained bad events, and Lucy was there every time; there is apparently irrefutable scientific evidence for two babies; and just like with Lucia de Berk, there are some weird personal and private writings which can be construed as a confession. For many reasons, the chances of a fair retrial for Lucy Letby are very thin indeed, but I am convinced she is innocent and that her trial was grossly unfair.
Optimal statistical analysis of Bell experiments
Richard D Gill (Mathematical Institute, Leiden University)
The 2022 Nobel prize in physics went to Clauser, Horne and Zeilinger '“for experiments with entangled photons, establishing the violation of Bell inequalities and pioneering quantum information science”. I played a modest part in the process which led up to that prize by contributing statistical methodology used in four decisive “loophole free" experiments of 2020. What I contributed was quite simply the idea of using randomisation in order to get guaranteed statistical validity, and martingale methods which allowed the experimenters to rule out the notion that an apparent violation of Bell’s inequality could simply be due to time trends in physical parameters over the course of an experiment which takes days to complete (confounding of treatment with time). Most recently I have studied some simple methods to reduce noise in the usual ad hoc estimators of the four correlations which figure in Bell’s inequality. Do not fear: the statistical model is very simple, no knowledge of quantum mechanics is needed to understand the statistical issues. The talk is about the statistical analysis of four 2x2 tables.
https://www.mdpi.com/2673-9909/3/2/23
Subtitle: "Statistical issues in the investigation of a suspected serial killer nurse"
Abstract:
Investigating a cluster of deaths on a hospital ward is a difficult task for medical investigators, police, and courts. Patients do die in hospitals (the three most common causes of deaths in a hospital are, in order: cancer, heart disease, medical errors). Often such cases come to the attention of police investigators for two reasons: gossip about a particular nurse is circulating just as a couple of unexpected and disturbing events occur. Hospital investigators see a pattern and call in the police.
I will discuss two such cases with which I have been intensively involved. The first one is the case of the Dutch nurse Lucia de Berk. Arrested in 2001, convicted by a succession of courts up to the supreme court by 2005, after which a long fight started to get her a re-trial. She was completely exonerated in 2010. The second case is that of the English nurse Lucy Letby. Arrested in 2018, 2019 and 2020 for murders taking place in 2015 and 2016. Her trial started in 2022 and concluded with a “full life” sentence a couple of months ago.
There are many similarities between the two cases, but also a couple of disturbing differences. One difference being that Lucy Letby’s lawyers seem to have made no attempt whatsoever to defend her. Another difference is that statistics was used against Lucia de Berk but not, apparently, against Lucy Letby. But appearances are not always what they seem.
Report published by Royal Statistical Society on statistical issues in these cases
https://rss.org.uk/news-publication/news-publications/2022/section-group-reports/rss-publishes-report-on-dealing-with-uncertainty-i/
News feature in “Science” about myself and my work
https://www.science.org/content/article/unlucky-numbers-fighting-murder-convictions-rest-shoddy-stats
https://www.maths.lu.se/kalendarium/?evenemang=statistics-seminar-statistical-issues-investigation-suspected-serial-killer-nurse-richard-gill
Video: https://www.youtube.com/watch?v=RxmFLKTlim8
The RSS has published a report tackling statistical bias in criminal trials where healthcare professionals are accused of murdering patients. Following several high-profile cases where statistical evidence has been misused, the Society calls for all parties in such cases to consult with professional statisticians and use only expert witnesses who are appropriately qualified.
The report, ‘Healthcare serial killer or coincidence?’, is produced by the RSS’s Statistics and the Law Section. The group evolved from a working group of the same name set up in early 2000s after the Society wrote to the Lord Chancellor and made a statement setting out concerns around the use of statistical evidence in the case of Sally Clark.
According to the report, suspicions about medical murder often arise due to a surprising or unexpected series of events, such as an unusual number of deaths among patients under the care of a particular professional.
The RSS has major concerns about use of this kind of evidence in a criminal investigation: first, over the analysis and interpretation of such data, and secondly over whether it can be guaranteed that the data have been compiled in an objective and unbiased manner.
Subtitle: Statistical issues in the investigation of a suspected serial killer nurse
Abstract:
Investigating a cluster of deaths on a hospital ward is a difficult task for medical investigators, police, and courts. Patients do die in hospitals (the three most common causes of deaths in a hospital are, in order: cancer, heart disease, medical errors). Often such cases come to the attention of police investigators for two reasons: gossip about a particular nurse is circulating just as a couple of unexpected and disturbing events occur. Hospital investigators see a pattern and call in the police.
I will discuss two such cases with which I have been intensively involved. The first one is the case of the Dutch nurse Lucia de Berk. Arrested in 2001, convicted by a succession of courts up to the supreme court by 2005, after which a long fight started to get her a re-trial. She was completely exonerated in 2010. The second case is that of the English nurse Lucy Letby. Arrested in 2018, 2019 and 2020 for murders taking place in 2015 and 2016. Her trial started in 2022 and concluded with a “full life” sentence a couple of months ago.
There are many similarities between the two cases, but also a couple of disturbing differences. One difference being that Lucy Letby’s lawyers seem to have made no attempt whatsoever to defend her. Another difference is that statistics was used against Lucia de Berk but not, apparently, against Lucy Letby. But appearances are not always what they seem.
Report published by Royal Statistical Society on statistical issues in these cases
https://rss.org.uk/news-publication/news-publications/2022/section-group-reports/rss-publishes-report-on-dealing-with-uncertainty-i/
News feature in “Science” about myself and my work
https://www.science.org/content/article/unlucky-numbers-fighting-murder-convictions-rest-shoddy-stats
Statistical issues in the investigation of a suspected serial killer nurse
Abstract
Investigating a cluster of deaths on a hospital ward is a difficult task for medical investigators, police, and courts. Patients do die in hospitals (the three most common causes of deaths in a hospital are, in order: cancer, heart disease, medical errors). Often such cases come to the attention of police investigators for two reasons: gossip about a particular nurse is circulating just as a couple of unexpected and disturbing events occur. Hospital investigators see a pattern and call in the police.
I will discuss two such cases with which I have been intensively involved. The first one is the case of the Dutch nurse Lucia de Berk. Arrested in 2001, convicted by a succession of courts up to the supreme court by 2005, after which a long fight started to get her a re-trial. She was completely exonerated in 2010. The second case is that of the English nurse Lucy Letby. Arrested in 2018, 2019 and 2020 for murders taking place in 2015 and 2016. Her trial started in 2022 and concluded with a “full life” sentence a couple of months ago.
There are many similarities between the two cases, but also a couple of disturbing differences. One difference being that Lucy Letby’s lawyers seem to have made no attempt whatsoever to defend her. Another difference is that statistics was used against Lucia de Berk but not, apparently, against Lucy Letby. But appearances are not always what they seem.
Report published by Royal Statistical Society on statistical issues in these cases
https://rss.org.uk/news-publication/news-publications/2022/section-group-reports/rss-publishes-report-on-dealing-with-uncertainty-i/
News feature in “Science” about myself and my work
https://www.science.org/content/article/unlucky-numbers-fighting-murder-convictions-rest-shoddy-stats
I discuss various statistical analyses of the recent Bell experiment of Storz et al. (2023, Nature) at ETH Zurich. Both standard and novel analyses under different assumptions result in almost identical conclusions. This suggests strongly that those assumptions are actually satisfied.
Statistics, causality, and the 2022 Nobel prizes in physics.
Richard Gill
Leiden University
The 2022 Nobel prize in physics was awarded to John Clauser, Alain Aspect and Anton Zeilinger "for experiments with entangled photons, establishing the violation of Bell inequalities and pioneering quantum information science”. I will explain each of these three gentlemen’s contributions and point out connections to classical statistical causality and probabilistic coupling. It seems that the first commercial application of this work will be a technology called DIQKD: "device independent quantum key distribution". Alice and Bob are far apart and need to establish a shared cryptographic key so as to send one another some securely encrypted messages over public communication channels. How can they create a suitable key while far apart from one another, and only able to communicate using classical means and over public channels?
Healthcare serial killer or coincidence?
Richard Gill
Mathematical Institute, Leiden University
Abstract: The UK’s *Royal Statistical Society* recently published a report tackling statistical bias in criminal trials where healthcare professionals are accused of murdering patients. Following several high-profile cases where statistical evidence has been misused, the Society calls for all parties in such cases to consult with professional statisticians and use only expert witnesses who are appropriately qualified.
The RSS report came out just two weeks before the start of the trial in Manchester of a nurse called Lucy Letby. The trial is still ongoing. So far, neither side has called for evidence from experts in statistics. The core of the prosecution case is that so many odd events connected to nurse LL cannot be a coincidence.
I will discuss the challenges both procedural and conceptual which arise when presenting statistical thinking as evidence in criminal trials. https://rss.org.uk/news-publication/news-publications/2022/section-group-reports/rss-publishes-report-on-dealing-with-uncertainty-i/
We analyse data from the final two years of a long-running and influential annual Dutch survey of the quality of Dutch New Herring served in large samples of consumer outlets. The data was compiled and analysed by a university econometrician whose findings were publicized in national and international media. This led to the cessation of the survey amid allegations of bias due to a conflict of interest on the part of the leader of the herring tasting team. The survey organizers responded with accusations of failure of scientific integrity. The econometrician was acquitted of wrong-doing by the Dutch authority, whose inquiry nonetheless concluded that further research was needed. We reconstitute the data and uncover its important features which throw new light on the econometrician's findings, focussing on the issue of correlation versus causality: the sample is definitely not a random sample. Taking account both of newly discovered data features and of the sampling mechanism, we conclude that there is no evidence of biased evaluation, despite the econometrician's renewed insistence on his claim.
This year’s Nobel prize in physics: homage to John Bell.
Richard Gill
Mathematical Institute, Leiden University.
Focussing on statistical issues, I will first sketch the history initiated by John Bell’s landmark 1964 paper “On the Einstein Podolsky Rosen paradox”, which led to the 2022 Nobel prize awarded to John Clauser, Alain Aspect and Anton Zeilinger,
https://www.nobelprize.org/prizes/physics/2022/press-release/
A breakthrough in the history was the four successful “loophole-free” Bell experiments of 2015 and 2016 in Delft, Munich, NIST and Vienna. These experiments pushed quantum technology to the limit and paved the way for DIQKD (“Device Independent Quantum Key Distribution”) and a quantum internet. They were the first successful implementations of the ideal experimental protocol described by John Bell in his 1981 masterpiece "Bertlmann's socks and the nature of reality", and depended on brilliant later innovations: Eberhard’s discovery that less entanglement could allow stronger manifestation of quantum non-locality, and Zeilinger’s discovery of quantum teleportation, allowing entanglement between photons to be transferred to entanglement between ions or atoms and ultimately to components of manufactured semi-conductors.
I will also discuss reanalyses of the 2015+ experiments, which could have allowed the experimenters to claim even smaller p-values than the ones they published,
https://arxiv.org/abs/2209.00702 "Optimal statistical analyses of Bell experiments"
This year’s Nobel prize in physics: homage to John Bell.
Richard Gill
Mathematical Institute, Leiden University.
Focussing on statistical issues, I will first sketch the history initiated by John Bell’s landmark 1964 paper “On the Einstein Podolsky Rosen paradox”, which led to the 2022 Nobel prize awarded to John Clauser, Alain Aspect and Anton Zeilinger,
https://www.nobelprize.org/prizes/physics/2022/press-release/
A breakthrough in the history was the four successful “loophole-free” Bell experiments of 2015 and 2016 in Delft, Munich, NIST and Vienna. These experiments pushed quantum technology to the limit and paved the way for DIQKD (“Device Independent Quantum Key Distribution”) and a quantum internet. They were the first successful implementations of the ideal experimental protocol described by John Bell in his 1981 masterpiece "Bertlmann's socks and the nature of reality", and depended on brilliant later innovations: Eberhard’s discovery that less entanglement could allow stronger manifestation of quantum non-locality, and Zeilinger’s discovery of quantum teleportation, allowing entanglement between photons to be transferred to entanglement between ions or atoms and ultimately to components of manufactured semi-conductors.
I will also discuss reanalyses of the 2015+ experiments, which could have allowed the experimenters to claim even smaller p-values than the ones they published,
https://arxiv.org/abs/2209.00702 "Optimal statistical analyses of Bell experiments"
Better slides: https://www.slideshare.net/gill1109/nobelpdf-253673329
Solution to the measurement problem based on Belavkin's theory of Eventum Mechanics. There is only Schrödinger’s equation and a unitary evolution of the wave function of the universe, but we must add a Heisenberg cut to separate the past from the future (to separate particles from waves): Belavkin’s eventum mechanics. The past is a commuting sub-algebra A of the algebra of all observables B, and in the Heisenberg picture, the past history of any observable in A is also in A. Particles have definite trajectories back into the past; Eventum Mechanics defines the probability distributions of future given past. https://arxiv.org/abs/0905.2723 Schrödinger's cat meets Occam's razor (version 3: 10 Aug 2022); to appear in Entropy
"Understanding the Carbon Cycle: Processes, Human Impacts, and Strategies for...MMariSelvam4
The carbon cycle is a critical component of Earth's environmental system, governing the movement and transformation of carbon through various reservoirs, including the atmosphere, oceans, soil, and living organisms. This complex cycle involves several key processes such as photosynthesis, respiration, decomposition, and carbon sequestration, each contributing to the regulation of carbon levels on the planet.
Human activities, particularly fossil fuel combustion and deforestation, have significantly altered the natural carbon cycle, leading to increased atmospheric carbon dioxide concentrations and driving climate change. Understanding the intricacies of the carbon cycle is essential for assessing the impacts of these changes and developing effective mitigation strategies.
By studying the carbon cycle, scientists can identify carbon sources and sinks, measure carbon fluxes, and predict future trends. This knowledge is crucial for crafting policies aimed at reducing carbon emissions, enhancing carbon storage, and promoting sustainable practices. The carbon cycle's interplay with climate systems, ecosystems, and human activities underscores its importance in maintaining a stable and healthy planet.
In-depth exploration of the carbon cycle reveals the delicate balance required to sustain life and the urgent need to address anthropogenic influences. Through research, education, and policy, we can work towards restoring equilibrium in the carbon cycle and ensuring a sustainable future for generations to come.
Diabetes is a rapidly and serious health problem in Pakistan. This chronic condition is associated with serious long-term complications, including higher risk of heart disease and stroke. Aggressive treatment of hypertension and hyperlipideamia can result in a substantial reduction in cardiovascular events in patients with diabetes 1. Consequently pharmacist-led diabetes cardiovascular risk (DCVR) clinics have been established in both primary and secondary care sites in NHS Lothian during the past five years. An audit of the pharmaceutical care delivery at the clinics was conducted in order to evaluate practice and to standardize the pharmacists’ documentation of outcomes. Pharmaceutical care issues (PCI) and patient details were collected both prospectively and retrospectively from three DCVR clinics. The PCI`s were categorized according to a triangularised system consisting of multiple categories. These were ‘checks’, ‘changes’ (‘change in drug therapy process’ and ‘change in drug therapy’), ‘drug therapy problems’ and ‘quality assurance descriptors’ (‘timer perspective’ and ‘degree of change’). A verified medication assessment tool (MAT) for patients with chronic cardiovascular disease was applied to the patients from one of the clinics. The tool was used to quantify PCI`s and pharmacist actions that were centered on implementing or enforcing clinical guideline standards. A database was developed to be used as an assessment tool and to standardize the documentation of achievement of outcomes. Feedback on the audit of the pharmaceutical care delivery and the database was received from the DCVR clinic pharmacist at a focus group meeting.
WRI’s brand new “Food Service Playbook for Promoting Sustainable Food Choices” gives food service operators the very latest strategies for creating dining environments that empower consumers to choose sustainable, plant-rich dishes. This research builds off our first guide for food service, now with industry experience and insights from nearly 350 academic trials.
Artificial Reefs by Kuddle Life Foundation - May 2024punit537210
Situated in Pondicherry, India, Kuddle Life Foundation is a charitable, non-profit and non-governmental organization (NGO) dedicated to improving the living standards of coastal communities and simultaneously placing a strong emphasis on the protection of marine ecosystems.
One of the key areas we work in is Artificial Reefs. This presentation captures our journey so far and our learnings. We hope you get as excited about marine conservation and artificial reefs as we are.
Please visit our website: https://kuddlelife.org
Our Instagram channel:
@kuddlelifefoundation
Our Linkedin Page:
https://www.linkedin.com/company/kuddlelifefoundation/
and write to us if you have any questions:
info@kuddlelife.org
Micro RNA genes and their likely influence in rice (Oryza sativa L.) dynamic ...Open Access Research Paper
Micro RNAs (miRNAs) are small non-coding RNAs molecules having approximately 18-25 nucleotides, they are present in both plants and animals genomes. MiRNAs have diverse spatial expression patterns and regulate various developmental metabolisms, stress responses and other physiological processes. The dynamic gene expression playing major roles in phenotypic differences in organisms are believed to be controlled by miRNAs. Mutations in regions of regulatory factors, such as miRNA genes or transcription factors (TF) necessitated by dynamic environmental factors or pathogen infections, have tremendous effects on structure and expression of genes. The resultant novel gene products presents potential explanations for constant evolving desirable traits that have long been bred using conventional means, biotechnology or genetic engineering. Rice grain quality, yield, disease tolerance, climate-resilience and palatability properties are not exceptional to miRN Asmutations effects. There are new insights courtesy of high-throughput sequencing and improved proteomic techniques that organisms’ complexity and adaptations are highly contributed by miRNAs containing regulatory networks. This article aims to expound on how rice miRNAs could be driving evolution of traits and highlight the latest miRNA research progress. Moreover, the review accentuates miRNAs grey areas to be addressed and gives recommendations for further studies.
UNDERSTANDING WHAT GREEN WASHING IS!.pdfJulietMogola
Many companies today use green washing to lure the public into thinking they are conserving the environment but in real sense they are doing more harm. There have been such several cases from very big companies here in Kenya and also globally. This ranges from various sectors from manufacturing and goes to consumer products. Educating people on greenwashing will enable people to make better choices based on their analysis and not on what they see on marketing sites.
Natural farming @ Dr. Siddhartha S. Jena.pptxsidjena70
A brief about organic farming/ Natural farming/ Zero budget natural farming/ Subash Palekar Natural farming which keeps us and environment safe and healthy. Next gen Agricultural practices of chemical free farming.
1. Mushrooms I have
known
Richard D. Gill
Mathematical Institute, Leiden University
http://www.math.leidenuniv.nl/~gill
This version: February 24, 2019
2. Warnings
• All mushrooms are edible – but some, only once
• There are old mushroom hunters, and bold mushroom
hunters … but there are no old bold mushroom hunters
3. Fungi
• Closer to animals than plants
• The thing you see above ground (that you call a
“mushroom”) is just a temporary reproductive organ
• See wikipedia (next slide)
De grote stinkzwam (Phallus impudicus) is een paddenstoel uit de familie Phallaceae
Phallus impudicus, known colloquially as the common stinkhorn, is a widespread fungus recognizable for its foul odor and its phallic shape when mature, the
latter feature giving rise to several names in 17th-century England.
4. wikipedia: “fungus”
A fungus (plural: fungi[3] or funguses[4]) is any member of the group
of eukaryotic organisms that includes microorganisms such as yeasts and molds, as well
as the more familiar mushrooms. These organisms are classified as a kingdom, fungi,
which is separate from the other eukaryotic life kingdoms of plants and animals.
A characteristic that places fungi in a different kingdom from plants, bacteria, and some
protists is chitin in their cell walls. Similar to animals, fungi are heterotrophs; they acquire
their food by absorbing dissolved molecules, typically by secreting digestive enzymes into
their environment. Fungi do not photosynthesise. Growth is their means of mobility,
except for spores (a few of which are flagellated), which may travel through the air or
water. Fungi are the principal decomposers in ecological systems. These and other
differences place fungi in a single group of related organisms, named the Eumycota (true
fungi or Eumycetes), which share a common ancestor (form a monophyletic group), an
interpretation that is also strongly supported by molecular phylogenetics. This fungal
group is distinct from the structurally similar myxomycetes (slime molds)
and oomycetes (water molds). The discipline of biology devoted to the study of fungi is
known as mycology (from the Greekμύκης mykes, mushroom). In the past, mycology
was regarded as a branch of botany, although it is now known fungi are genetically more
closely related to animals than to plants.
5. Your source for the latest research news
Date:
Source:
Summary:
Discovery About Evolution Of Fungi Has Implications For
Humans
October 23, 2006
University of Minnesota
A University of Minnesota researcher says as early fungi made the evolutionary journey from water
to land and branched off from animals, they shed tail-like flagella that propelled them through their
aquatic environment and evolved a variety of new mechanisms, including explosive volleys and fra‐
grances, to disperse their spores and reproduce in a terrestrial setting.
FULL STORY
As early fungi made the evolutionary journey from water to land and branched off from animals,
they shed tail-like flagella that propelled them through their aquatic environment and evolved a
variety of new mechanisms (including explosive volleys and fragrances) to disperse their spores
and reproduce in a terrestrial setting.
"What's particularly interesting is that species retained their flagella for different lengths of time and developed
different mechanisms of spore dispersal," said David McLaughlin, professor of plant biology at the University of
Minnesota in the College of Biological Sciences and co-author of a paper published in the Oct. 19 issue of Nature
describing how fungi adapted to life on land.
The discovery is the latest installment in an international effort to learn the origins of species. McLaughlin is one of
five principal investigators leading a team of 70 researchers at 35 institutions. The group analyzed information
from six key genetic regions in almost 200 contemporary species to reconstruct the earliest days of fungi and
their various relations.
McLaughlin is directing the assembly of a shared database of fungal structures obtained through electron micro‐
scopy, which produces detailed images that provide clues to the diversity of these organisms. The work is funded
by a $2.65 million "Assembling the Tree of Life" grant from the National Science Foundation that was awarded to
Duke University, the University of Minnesota, Oregon State University and Clark University in January 2003.
The discovery provides a new glimpse into evolution of life on Earth. It will also help scientists better understand
this unusual group of organisms and learn how to develop uses for their unique properties in medicine, agricul‐
ture, conservation and industry.
McLaughlin believes fungi are a valuable untapped natural resource. They play a variety of roles in nature, such as
supplying plants with nutrients through mutualistic relationships and recycling dead organisms. He estimates that
there are about 1.5 million species on the Earth, but only about 10 percent of those are known. And civilization
has only identified uses for a few of those, such as using yeast to make bread, beer, wine, cheese and a few
antibiotics.
https://www.sciencedaily.com/releases/2006/10/061021115712.htm
Fungi are also intriguing because their cells are surprisingly
similar to human cells, McLaughlin said. In 1998 scientists
discovered that fungi split from animals about 1.538 billion years
ago, whereas plants split from animals about 1.547 billion years
ago. This means fungi split from animals 9 million years after
plants did, in which case fungi are actually more closely related to
animals than to plants. The fact that fungi had motile cells
propelled by flagella that are more like those in animals than
those in plants, supports that.
6. Some famous fungi
• Penicilline
• Yeast (beer, bread, wine, …)
• Zwemmer’s eczeem – Athlete’s foot
• The largest living organism on the planet?
• Alleged cause of death of: Buddha, Emperor Claudius,
Hapsburg emperor Charles VI, …
• Digests and recycles animal and plant remains; lives in
symbiotic relation with trees, animals, …
Armillaria ostoyae
7. Poisonous mushrooms: 7 most dangerous in UK
https://www.woodlandtrust.org.uk/blog/2018/11/poisonous-mushrooms/
Fraaie gifgordijnzwam Groene knolamaniet Kleverige knolamaniet
Bundelmosklokje Weidetrechterzwam Panteramaniet
????????
8. My two
favourites
• Amanita muscaria - fly agaric [vliegenzwam]
• Omphalotus olearius [?] - jack-o’-lantern mushroom
[lantaarnzwam]
10. I have a great deal to say about Amanita muscaria
– result of many years research, observation.
This creature is not bright red with white spots for nothing!
21. Want to learn more about the
joys of mushroom hunting?
• Go out in the fields or forests with someone with a great deal of experience.
• Never pick a mushroom if you don’t have to.
• A photograph is not enough to identify a mushroom.
Learn about the *important* distinguishing characteristics.
• Never eat a mushroom if you are not *absolutely* certain you have identified
it correctly. Be patient. They’ll come again next year, same time, same place.
• Coffee-table books full of large glossy photographs are not much use.
• Internet is wonderful but not everything you read there is true.
• Mushrooms *and* people are natural living beings. Variation is “built in”,
and it’s enormous.