This document summarizes a study that explored the relationship between government expenditures and philanthropic donations across 19 countries using cross-country data. The study found evidence of crowding-in rather than crowding-out, with higher government expenditures associated with higher rates of individual donations. However, crowding-in was less for health and social protection sectors. Government support for social welfare also seemed to drive donors to donate more to expressive nonprofit subsectors like the arts and environment. Overall, there was no evidence that higher government expenditures crowded out either the number of donors or the amounts donated.
In Madagascar, donors have traditionally counted for almost half of the Government’s budget and have been, by far, the main source of funding in social sectors. Since the beginning of the crisis, official aid toward education, health and social protection surged, reaching almost US$260 million in 2010 against US$180 million in 2008. This increase failed nonetheless to improve significantly social indicators. Does it mean that (i) aid works but the country did not get enough of it to counterbalance the effects of the current political and economic crisis, or (ii) aid effectiveness has been limited and there is a need to improve its quality rather than its quantity?
Fiscal incentives to pension savings -- are they efficient?GRAPE
Financing consumption of the elderly in the face of the projected increase in life expectancy is a key challenge for economic policy. Moreover, standard structural models with fully rational agents suggest that about 50-60 percent of old-age consumption is financed with voluntary savings, even in the presence of a fairly generous public pension system. This is clearly inconsistent with either the data, or the alarming simulations of old-age poverty in the years to come. Old-age saving (OAS) schemes are widely used policy instruments to address this challenge, but structural evaluations of such instruments remain rare. We develop a framework with incompletely rational agents: lacking financial literacy and experiencing commitment difficulties. We study a broad selection of OAS schemes and find that they raise welfare of financially illiterate agents and to a lesser extent improve welfare of agents with a high degree of time inconsistency. They also reduce the incidence of poverty at old age. Unfortunately, these instruments are fiscally costly, induce considerable crowd-out and direct fiscal transfers mostly to those agents, who need it the least.
Stimulating old-age savings under incomplete rationalityGRAPE
Financing consumption of the elderly in the face of the projected increase in life expectancy is a key challenge for economic policy. Moreover, standard structural models with fully rational agents suggest that about 50-60 percent of old-age consumption is financed with voluntary savings, even in the presence of a fairly generous public pension system. This is clearly inconsistent with either the data, or the alarming simulations of old-age poverty in the years to come. Old-age saving (OAS) schemes are widely used policy instruments to address this challenge, but structural evaluations of such instruments remain rare. We develop a framework with incompletely rational agents: lacking financial literacy and experiencing commitment difficulties. We study a broad selection of OAS schemes and find that they raise welfare of financially illiterate agents and to a lesser extent improve welfare of agents with a high degree of time inconsistency. They also reduce the incidence of poverty at old age. Unfortunately, these instruments are fiscally costly, induce considerable crowd-out and direct fiscal transfers mostly to those agents, who need it the least.
In Madagascar, donors have traditionally counted for almost half of the Government’s budget and have been, by far, the main source of funding in social sectors. Since the beginning of the crisis, official aid toward education, health and social protection surged, reaching almost US$260 million in 2010 against US$180 million in 2008. This increase failed nonetheless to improve significantly social indicators. Does it mean that (i) aid works but the country did not get enough of it to counterbalance the effects of the current political and economic crisis, or (ii) aid effectiveness has been limited and there is a need to improve its quality rather than its quantity?
Fiscal incentives to pension savings -- are they efficient?GRAPE
Financing consumption of the elderly in the face of the projected increase in life expectancy is a key challenge for economic policy. Moreover, standard structural models with fully rational agents suggest that about 50-60 percent of old-age consumption is financed with voluntary savings, even in the presence of a fairly generous public pension system. This is clearly inconsistent with either the data, or the alarming simulations of old-age poverty in the years to come. Old-age saving (OAS) schemes are widely used policy instruments to address this challenge, but structural evaluations of such instruments remain rare. We develop a framework with incompletely rational agents: lacking financial literacy and experiencing commitment difficulties. We study a broad selection of OAS schemes and find that they raise welfare of financially illiterate agents and to a lesser extent improve welfare of agents with a high degree of time inconsistency. They also reduce the incidence of poverty at old age. Unfortunately, these instruments are fiscally costly, induce considerable crowd-out and direct fiscal transfers mostly to those agents, who need it the least.
Stimulating old-age savings under incomplete rationalityGRAPE
Financing consumption of the elderly in the face of the projected increase in life expectancy is a key challenge for economic policy. Moreover, standard structural models with fully rational agents suggest that about 50-60 percent of old-age consumption is financed with voluntary savings, even in the presence of a fairly generous public pension system. This is clearly inconsistent with either the data, or the alarming simulations of old-age poverty in the years to come. Old-age saving (OAS) schemes are widely used policy instruments to address this challenge, but structural evaluations of such instruments remain rare. We develop a framework with incompletely rational agents: lacking financial literacy and experiencing commitment difficulties. We study a broad selection of OAS schemes and find that they raise welfare of financially illiterate agents and to a lesser extent improve welfare of agents with a high degree of time inconsistency. They also reduce the incidence of poverty at old age. Unfortunately, these instruments are fiscally costly, induce considerable crowd-out and direct fiscal transfers mostly to those agents, who need it the least.
Gaetano Gaballo's slides, with Philippe Andrade, Eric Mengus & Benoit Mojon, International Workshop "Monetary Policy when Heterogeneity Matters", Paris, February 3, 2017 http://www.parisschoolofeconomics.eu/IMG/pdf/workshop-international-workshop-monetary-policy-3-fev-2017.pdf
Starzenie się społeczeństwa w Polsce jest faktem i system ubezpieczeń społecznych musiał w związku z tym zostać zreformowany. W 1999 roku system emerytalny zdefiniowanego świadczenia został zmieniony na system zdefiniowanej składki - czy w tej sytuacji podniesienie wieku emerytalnego wciąż jest konieczne?
Tutkimuksessa tarkasteltiin työikäisen väestön, 20–59-vuotiaat vuonna 2000, tuloriskejä Tilastokeskuksesta hankitun laajan rekisteripohjaisen paneeliaineiston avulla. Vero- ja sosiaaliturvajärjestelmää tarkastellaan laajana sosiaalivakuutuksena ja vaikutusta riskiin mitataan tuotannontekijä-, brutto- ja käytettävissä olevien tulojen riskipreemioiden peräkkäisten erotusten avulla. Ennakkoon ennustetut (ex ante) toimeentuloriskit estimoidaan dynaamisen, eteenpäin katsovan mallin avulla. Logaritmimuotoinen malli kuvaa tuloliikkuvuutta suhteessa väestöryhmän vuosittaisiin keskituloihin. Estimoinnit perustuvat väestöositukseen, joka määräytyy ennusteperiodia edeltävän, syntymävuosikohortin, koulutusasteen ja sosioekonomisen aseman perusteella. Tulosten perusteella vero- ja tulonsiirtojärjestelmä pienentää merkittävästi kotitalouksien tulonvaihtelua ja tuloriskiä. Tästä näyttävät hyötyvän eniten ne ryhmät, joissa markkinatulojenriskit olivat suurimmat. Tulosten perusteella julkinen sektori saa aikaan merkittävää riskien (tulojen vaihtelun) uudelleenjakoa, joka täydentää tulonsiirtojen uudelleenjakoroolia. Välittömän verotuksen merkitys on huomattavasti tulonsiirtoja pienempi. Toteutuneihin arvoihin perustuvat (ex post) riskimittarit antoivat samansuuntaisia tuloksia kuin dynaamiseen malliin perustuvat mittarit. Kvalitatiivisesti arvioituna tulokset ovat myös pitkälle riippumattomia siitä, mitä riskinkaihtamisparametria laskelmissa käytetään.
Pension reform of 1999 Poland had important macroeconomic and wefare effects. We investigate if it can be perceived as efficient, and how the implications differ between cohorts.
HLEG thematic workshop on Measurement of Well Being and Development in Africa...StatsCommunications
HLEG thematic workshop on Measurement of Well Being and Development in Africa, 12-14 November 2015, Durban, South Africa, More information at: www.oecd.org/statistics/measuring-economic-social-progress
Political (in)stability of pension system reformOliwia Komada
We analyze the political stability of social security reforms that involve a funded pillar (a.k.a.privatizations of social security). We employ an overlapping generations model with intracohort heterogeneity. The (partial) privatization of social security is efficient in Kaldor-Hickssense and has political support. Subsequently, agents vote on abolishing the funded pillar, capturing the accumulated pension assets, and replacing it with the pay-as-you-go scheme,i.e. \unprivatizing" the pension system. We show that even if such reform reduces welfare in the long run, the distribution of benefits across cohorts along the transition path implies that \unprivatizing" social security is always politically preferred. We conclude that the correct assignment of property rights over retirement assets may be of crucial importance for
determining the stability of pensions systems with a funded pillar.
Inequality in an OLG economy with heterogeneous cohorts and pension systemsGRAPE
Marcin Bielecki, Krzysztof Makarski and Joanna Tyrowicz
GRAPEjFAME & University of Warsaw & National Bank of Poland
International Workshop Economic Growth, Macroeconomic Dynamics and
Agents’ Heterogeneity, St. Petersburg, 2017
The Social Capital of Migrants and Individual ICT Useftr_
Is there a difference in habitualised Internet use between migrants and non migrants, once statistical controls taken into account?
Based on representative data from the European Social Survey 2003 in countries with strong Internet developement there is no difference between migrants & non-migrants. In countries with many young migrants there is a significant higher rate of users among migrants.
A detailed multivariate analysis at the country level shows that in all of the European countries studied age, educational attainment, income but not gender influence the domestication of the Internet. Another important, positive influences is bridging social capital (associations), but less bonding capital (strong links with friends, in Nordic countries).
Social, interpersonal trust (in countries except Nordic welfare regimes) and trust in institutions (in other welfare regimes) increases the odds of regularly using the Internet.
Welfare regime allows to group countries together.
Is the retirement age increase in Poland still necessary given the 1999 reform of the pension system? EmerytGRAPE analysis with the use of OLG model answers this question.
HLEG thematic workshop on Measuring Inequalities of Income and Wealth, Peter ...StatsCommunications
HLEG workshop on Measuring Inequalities of Income and Wealth, 15-16 September 2015, Berlin, Germany, More information at: http://oe.cd/hleg-workshop-inequalities-income-and-wealth
HLEG thematic workshop on Measuring Inequalities of Income and Wealth, Facund...StatsCommunications
HLEG workshop on Measuring Inequalities of Income and Wealth, 15-16 September 2015, Berlin, Germany, More information at: http://oe.cd/hleg-workshop-inequalities-income-and-wealth
Ageing and productivity growth in OECD regions - Federica Daniele, Taku Honid...OECD CFE
Presentation of Federica Daniele, Junior Economist/Policy Analyst, OECD Centre for Entrepreneurship, SMEs, Regions and Cities at the fourth meeting of the Spatial productivity Lab of the OECD Trento Centre held on 17 April 2019.
More info http://oe.cd/SPL
Gaetano Gaballo's slides, with Philippe Andrade, Eric Mengus & Benoit Mojon, International Workshop "Monetary Policy when Heterogeneity Matters", Paris, February 3, 2017 http://www.parisschoolofeconomics.eu/IMG/pdf/workshop-international-workshop-monetary-policy-3-fev-2017.pdf
Starzenie się społeczeństwa w Polsce jest faktem i system ubezpieczeń społecznych musiał w związku z tym zostać zreformowany. W 1999 roku system emerytalny zdefiniowanego świadczenia został zmieniony na system zdefiniowanej składki - czy w tej sytuacji podniesienie wieku emerytalnego wciąż jest konieczne?
Tutkimuksessa tarkasteltiin työikäisen väestön, 20–59-vuotiaat vuonna 2000, tuloriskejä Tilastokeskuksesta hankitun laajan rekisteripohjaisen paneeliaineiston avulla. Vero- ja sosiaaliturvajärjestelmää tarkastellaan laajana sosiaalivakuutuksena ja vaikutusta riskiin mitataan tuotannontekijä-, brutto- ja käytettävissä olevien tulojen riskipreemioiden peräkkäisten erotusten avulla. Ennakkoon ennustetut (ex ante) toimeentuloriskit estimoidaan dynaamisen, eteenpäin katsovan mallin avulla. Logaritmimuotoinen malli kuvaa tuloliikkuvuutta suhteessa väestöryhmän vuosittaisiin keskituloihin. Estimoinnit perustuvat väestöositukseen, joka määräytyy ennusteperiodia edeltävän, syntymävuosikohortin, koulutusasteen ja sosioekonomisen aseman perusteella. Tulosten perusteella vero- ja tulonsiirtojärjestelmä pienentää merkittävästi kotitalouksien tulonvaihtelua ja tuloriskiä. Tästä näyttävät hyötyvän eniten ne ryhmät, joissa markkinatulojenriskit olivat suurimmat. Tulosten perusteella julkinen sektori saa aikaan merkittävää riskien (tulojen vaihtelun) uudelleenjakoa, joka täydentää tulonsiirtojen uudelleenjakoroolia. Välittömän verotuksen merkitys on huomattavasti tulonsiirtoja pienempi. Toteutuneihin arvoihin perustuvat (ex post) riskimittarit antoivat samansuuntaisia tuloksia kuin dynaamiseen malliin perustuvat mittarit. Kvalitatiivisesti arvioituna tulokset ovat myös pitkälle riippumattomia siitä, mitä riskinkaihtamisparametria laskelmissa käytetään.
Pension reform of 1999 Poland had important macroeconomic and wefare effects. We investigate if it can be perceived as efficient, and how the implications differ between cohorts.
HLEG thematic workshop on Measurement of Well Being and Development in Africa...StatsCommunications
HLEG thematic workshop on Measurement of Well Being and Development in Africa, 12-14 November 2015, Durban, South Africa, More information at: www.oecd.org/statistics/measuring-economic-social-progress
Political (in)stability of pension system reformOliwia Komada
We analyze the political stability of social security reforms that involve a funded pillar (a.k.a.privatizations of social security). We employ an overlapping generations model with intracohort heterogeneity. The (partial) privatization of social security is efficient in Kaldor-Hickssense and has political support. Subsequently, agents vote on abolishing the funded pillar, capturing the accumulated pension assets, and replacing it with the pay-as-you-go scheme,i.e. \unprivatizing" the pension system. We show that even if such reform reduces welfare in the long run, the distribution of benefits across cohorts along the transition path implies that \unprivatizing" social security is always politically preferred. We conclude that the correct assignment of property rights over retirement assets may be of crucial importance for
determining the stability of pensions systems with a funded pillar.
Inequality in an OLG economy with heterogeneous cohorts and pension systemsGRAPE
Marcin Bielecki, Krzysztof Makarski and Joanna Tyrowicz
GRAPEjFAME & University of Warsaw & National Bank of Poland
International Workshop Economic Growth, Macroeconomic Dynamics and
Agents’ Heterogeneity, St. Petersburg, 2017
The Social Capital of Migrants and Individual ICT Useftr_
Is there a difference in habitualised Internet use between migrants and non migrants, once statistical controls taken into account?
Based on representative data from the European Social Survey 2003 in countries with strong Internet developement there is no difference between migrants & non-migrants. In countries with many young migrants there is a significant higher rate of users among migrants.
A detailed multivariate analysis at the country level shows that in all of the European countries studied age, educational attainment, income but not gender influence the domestication of the Internet. Another important, positive influences is bridging social capital (associations), but less bonding capital (strong links with friends, in Nordic countries).
Social, interpersonal trust (in countries except Nordic welfare regimes) and trust in institutions (in other welfare regimes) increases the odds of regularly using the Internet.
Welfare regime allows to group countries together.
Is the retirement age increase in Poland still necessary given the 1999 reform of the pension system? EmerytGRAPE analysis with the use of OLG model answers this question.
HLEG thematic workshop on Measuring Inequalities of Income and Wealth, Peter ...StatsCommunications
HLEG workshop on Measuring Inequalities of Income and Wealth, 15-16 September 2015, Berlin, Germany, More information at: http://oe.cd/hleg-workshop-inequalities-income-and-wealth
HLEG thematic workshop on Measuring Inequalities of Income and Wealth, Facund...StatsCommunications
HLEG workshop on Measuring Inequalities of Income and Wealth, 15-16 September 2015, Berlin, Germany, More information at: http://oe.cd/hleg-workshop-inequalities-income-and-wealth
Ageing and productivity growth in OECD regions - Federica Daniele, Taku Honid...OECD CFE
Presentation of Federica Daniele, Junior Economist/Policy Analyst, OECD Centre for Entrepreneurship, SMEs, Regions and Cities at the fourth meeting of the Spatial productivity Lab of the OECD Trento Centre held on 17 April 2019.
More info http://oe.cd/SPL
The Benefit Incidence of Public Spending in Ethiopiaessp2
Ethiopia Development Research Institute (EDRI) and International Food Policy Research Institute (IFPRI) Seminar Series, August 20, 2010 Addis Ababa, EDRI Meeting Room
Gary Mena: Intended and unintended effects of unconditional cashUNDP Policy Centre
This presentation is part of the programme of the International Seminar "Social Protection, Entrepreneurship and Labour Market Activation: Evidence for Better Policies", organized by the International Policy Centre for Inclusive Growth (IPC-IG/UNDP) together with Canada’s International Development Research Centre (IDRC) and the Colombian Think Tank Fedesarrollo held on September 10-11 at the Ipea Auditorium in Brasilia.
Communities and testing for COVID-19 - Mirco ToninOECD CFE
Presentation by Mirco Tonin, Professor of Economic Policy, Free University of Bolzano-Bozen at the 15th Spatial Productivity Lab meeting of the OECD Trento Centre on 14 December 2021, Trento, Italy.
More info https://oe.cd/SPL
Innovation support and economic development at the regional level: panel data...Jan Huňady
Presentation of research paper.
Publication is available at:
https://dx.doi.org/10.14254/2071-8330.2017/10-3/11
Abstract: The paper deals with the problem of innovation support and economic development at the regional level. The innovation potential still differs significantly among the EU regions. Perhaps the key factor determining innovation potential and performance of a region is R&D expenditure. The main aim of the paper is to test the potential relationship between gross domestic expenditure on R&D and economic development of the regions. Our dataset consists of the data on the regions of four Visegrad countries during the period of 2001-2014. We assume the existence of non-linear relationship and expect that R&D expenditures are significantly lower in less developed regions. Using the panel Granger causality and panel regression analysis based on these data, we provide insight into the potential relationship between regional economic development measured in terms of GDP per capita and investments in R&D controlling for the number of R&D employees. Our results strongly suggest that higher regional GDP per capita is associated with higher regional gross domestic expenditure on R&D (GERD) per inhabitant. GERD per capita appears to be exponentially rising with regional GDP per capita. We have also found significant regional disparities in terms of innovation performance.
We analyze the political stability of social security that involves pre-funding. We employ an overlapping generations model with intra-cohort heterogeneity and introduce partial funding, which is efficient in Kaldor-Hicks sense and has majority political support. Subsequently, agents vote on capturing the accumulated pension assets and replacing it with the pay-as-you-go scheme. We show that even if capturing assets reduces welfare in the long run, the distribution of benefits across cohorts living at the time of voting yields always sufficient political support. We explain the mechanisms which yield this counter-intuitive result. Preventing the asset capture requires switching off the fiscal channel, i.e. funding becomes politically stable if capturing of the pension assets cannot be used to reduce taxation and/or public debt.
How altruistic and social pressure motivation drive giving by the wealthy in the United States and the Netherlands - ISTR Conference, Stockholm, Sweden.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
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.
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.
Government Expenditures and Philanthropic Donations: Exploring Crowding-out with Cross-country data
1. Government Expenditures and Philanthropic Donations:
Exploring Crowding-Out with Cross-Country Data
Arjen de Wit Vrije Universiteit Amsterdam
Michaela Neumayr WU Vienna
Pamala Wiepking Erasmus University Rotterdam
Femida Handy University of Pennsylvania
ERNOP Conference
Copenhagen, Denmark
July 13, 2017
3. The crowding-out hypothesis
“For every welfare state, if social obligations become
increasingly public, then its institutional arrangements
crowd out private obligations or make them at least no
longer necessary”
(Van Oorschot and Arts 2005: 2)
Alexis de Tocqueville
1840
Robert Nisbet
1953
Milton Friedman
1962
12. Multilevel regression model (1)
p(Y)ij / (1 – p(Y)ij)
= β0 + uj + β1Gj + … + εij
Probability that respondent i in country j donates
uj is the country-specific intercept
Gjis government expenditures in country j
εij is the error term for each observation
Controls: GDP per capita (L2), age, education, gender,
marital status, income (L1)
13. Multilevel regression model (2)
ln(Yij)
= β0 + uj + β1Gj + … + εij
Natural logarithm of amount donated by respondent i
in country j, conditional on donating
uj is the country-specific intercept
Gjis government expenditures in country j
εij is the error term for each observation
Controls: GDP per capita (L2), age, education, gender,
marital status, income (L1)
15. However…
Positive and negative correlations may cancel each
other out
There could be different effects in different nonprofit
subsectors
Government support in social welfare could drive
donors to other ‘expressive’ subsectors
16. Multilevel regression model (3)
p(Y)ijs / (1 – p(Y)ijs)
= β0 + ujs + β1Gjs + … + εijs
Probability that respondent i in country j donates to
sector s
ujs is the country/sector-specific intercept
Gjsis government expenditures to sector s in country j
εijs is the error term for each observation
Controls: GDP per capita (L2), age, education, gender,
marital status, income (L1)
17. Multilevel regression model (4)
ln(Yijs)
= β0 + ujs + β1Gjs + … + εijs
Natural logarithm of amount donated by respondent i
in country j to sector s, conditional on donating
ujs is the country/sector-specific intercept
Gjsis government expenditures to sector s in country j
εijs is the error term for each observation
Controls: GDP per capita (L2), age, education, gender,
marital status, income (L1)
21. Crosswise crowding-in (2)
Yijs = Donations to environment, international aid, or
arts and culture
Gjs= Government expenditures to social protection and
health
26. Conclusions
Crowding-in of donors
But less so in health and social protection subsectors
Social welfare expenditures seem to drive donors
towards ‘expressive’ subsectors
27. Conclusions
Crowding-in of donors
But less so in health and social protection subsectors
Social welfare expenditures seem to drive donors
towards ‘expressive’ subsectors
No crowding-out of amounts donated
28. Conclusions
Crowding-in of donors
But less so in health and social protection subsectors
Social welfare expenditures seem to drive donors
towards ‘expressive’ subsectors
No crowding-out of amounts donated
Important null finding
33. Donated (0/1), per sector
(1) (2) (3) (4)
Govt expenditures per sector / 1,000 0.127 *** 0.120 ** 0.129 ** 2.700 ***
(0.043) (0.056) (0.059) (0.535)
Sector: Environment ref
Sector: Education -1.050
(1.283)
Sector: Health 0.461
(0.500)
Sector: Social services 1.852 ***
(0.566)
Education * Govt expenditures / 1,000 -1.913 **
(0.815)
Health * Govt expenditures / 1,000 -2.435 ***
(0.541)
Social * Govt expenditures / 1,000 -2.741 ***
(0.536)
Constant - 0.905*** - 1.005
***
- 1.601
***
-2.234 ***
(0.114) (0.187) (0.446) (0.437)
Observations 157,392 157,392 157,392 157,392
Number of country-sector 39 39 39 39
Number of respondents 40,899 40,899 40,899 40,899
Rho 0.177 0.177 0.177 0.132
(2) Controlled for GDP
(3) & (4) Controlled for GDP, Age, Education, Male, Married, Income (ln)
34. Amount donated (ln), per sector
(1) (2) (3) (4)
Govt expenditures per sector / 1,000 -0.022 -0.087 -0.068 -1.453
(0.055) (0.063) (0.071) (1.741)
Sector: Environment Ref
Sector: Education 1.367
(1.634)
Sector: Health -0.363
(0.878)
Sector: Social services -0.357
(1.107)
Education * Govt expenditures / 1,000 0.594
(1.871)
Health * Govt expenditures / 1,000 1.382
(1.741)
Social * Govt expenditures / 1,000 1.409
(1.763)
Constant 3.878*** 3.082*** 1.919*** 2.052**
(0.210) (0.455) (0.505) (0.926)
Observations 49,725 49,725 49,725 49,725
Number of country-sector 26 26 26 26
Number of respondents 27,453 27,453 27,453 27,453
Rho 0.225 0.196 0.208 0.242
(2) Controlled for GDP
(3) & (4) Controlled for GDP, Age, Education, Male, Married, Income (ln)
Standard errors in parentheses. *** p<0.01, ** p<0.05, * p<0.1
35. Donated (0/1), crosswise
(1) (2) (3)
Social protection and health expenditures / 1,000 0.154 *** 0.108 * 0.146 ***
(0.030) (0.057) (0.056)
Constant -2.342 *** -2.695 *** -3.193 ***
(0.239) (0.302) (0.434)
Observations 115,825 115,825 115,825
Number of country-sector 28 28 28
Number of respondents 40,899 40,899 40,899
Rho 0.123 0.119 0.115
Y = giving to organizations in the fields of social services, health, environment,
international relief or arts and culture
(2) Controlled for GDP
(3) Controlled for GDP, Age, Education, Male, Married, Income (ln)
Standard errors in parentheses. *** p<0.01, ** p<0.05, * p<0.1
36. Amount donated (ln), crosswise
(1) (2) (3)
Social protection and health expenditures / 1,000 -0.032 -0.077 -0.016
(0.055) (0.067) (0.046)
Constant 4.326*** 3.778*** 2.497***
(0.469) (0.664) (0.477)
Observations 11,245 11,245 11,245
Number of country-sector 17 17 17
Number of respondents 9,180 9,180 9,180
Rho 0.175 0.169 0.181
Y = giving to organizations in the fields of social services, health, environment,
international relief or arts and culture
(2) Controlled for GDP
(3) Controlled for GDP, Age, Education, Male, Married, Income (ln)
Standard errors in parentheses. *** p<0.01, ** p<0.05, * p<0.1