Do Divestment Announcements Affect Fossil Fuel Company Stock Returns?

In response to growing dissatisfaction from environmental activists, many large institutional investors have committed to divesting from fossil fuel related assets. Understanding the financial effects of these divestment movements is crucial to assessing their impact on climate change. Using a financial event study methodology with a sample of 50 divestment announcements from 2014 to 2022, this paper examines the effect that the announcement of these divestment decisions has on the stock returns of oil & gas and coal companies. I find the short term effect on stock prices following a divestment announcement to be insignificant, and I show that more than divestment announcements are required to find a significant effect. Ultimately, I conclude that the effect of divestment announcements may be less tied to the day of the announcement, and the true effects may be found in the longer term

A study of the adsorption of radioactive zirconium, niobium, cesium, and barium on alumina, silica gels and clays

The purpose of this investigation was: (1) search the literature and review various methods investigated for the safe storage of radioactive waste products, (2) study the possible methods for the recovery, of useful radioactive isotopes by selective adsorption, (3) perform laboratory tests to determine the capacity of various adsorbents for radioactive isotopes, (4) evaluate the data and correlate it with the findings reported in the literature, (5) make recommendations of the feasibility of using these adsorbents for removal or storage of the radioactive products, and (6) make recommendations for further investigations. The adsorption of radioactive zirconium, niobium, cesium and barium on alumina, silica gel, and clay was investigated. The adsorbents were contacted with aqueous solutions of the pure isotopes for two hours. Tests at pH values from one through seven were made for each adsorbent. The activities before and after adsorption were determined and from these data the activities removed were calculated. The data from the tests were tabulated so that a comparison of the activity removed by each adsorbent could be made. The data from the tests also enabled comparisons of the effect or pH on each adsorbent to be made. The batch method using agitation was employed rather than a fixed bed in a column, because it was believed that this method would give more thorough mixing and result in a better determination of adsorption capacity --Introduction, page 4

Raubitschek test for astigmatism

Raubitschek test for astigmatis

Study of 3,3'3"-Phosphinidyenetripro-Pionic Acid as an Acid and a Chelating Agent

Chemistr

Effects of Hurricane Katrina on an Incipient Population of Giant Salvinia Salvinia molesta in the Lower Pascagoula River, Mississippi

The objectives of this study were to: 1) survey the lower Pascagoula River Basin and determine the post–storm distribution and abundance of giant salvinia; 2) control any remaining giant salvinia through physical and/or chemical means; 3) determine the fate of the bio–control agents; and 4) determine if re–introduction of salvinia weevils is needed and if so, to decide where best to release them

Women\u27s Choir and Wind Symphony

This KSU School of Music performance features Women\u27s Choir, conducted by Alison Mann, and Wind Symphony, conducted by Debra Traficante and guest conductor, Archie Birkner IV.https://digitalcommons.kennesaw.edu/musicprograms/2031/thumbnail.jp

Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation.

Accumulating evidence from genome wide association studies (GWAS) suggests an abundance of shared genetic influences among complex human traits and disorders, such as mental disorders. Here we introduce a statistical tool, MiXeR, which quantifies polygenic overlap irrespective of genetic correlation, using GWAS summary statistics. MiXeR results are presented as a Venn diagram of unique and shared polygenic components across traits. At 90% of SNP-heritability explained for each phenotype, MiXeR estimates that 8.3 K variants causally influence schizophrenia and 6.4 K influence bipolar disorder. Among these variants, 6.2 K are shared between the disorders, which have a high genetic correlation. Further, MiXeR uncovers polygenic overlap between schizophrenia and educational attainment. Despite a genetic correlation close to zero, the phenotypes share 8.3 K causal variants, while 2.5 K additional variants influence only educational attainment. By considering the polygenicity, discoverability and heritability of complex phenotypes, MiXeR analysis may improve our understanding of cross-trait genetic architectures

Pitch control optimisation of tiltrotor aircraft

An investigation into the effects of rotary-wing and xed-wing control gearings for tiltrotor aircraft was undertaken. The work investigated the effects of different cyclic and elevator gearings (both prescribed and optimised) on the longitudinal trim behaviour through the conversion regime of ight. The numerical simulations were performed for the XV-15 tiltrotor aircraft using an in-house aeromechanics code. This was coupled to a genetic algorithm to perform the optimisation studies. The ndings show the control gearings must be selected carefully to maximise the conversion space and that the gearings can be optimised to meet different objective function requirements of the trim parameters. Fixed-wing control was found to be complimentary at lower airspeeds to help reduce excessive stick and cyclic inputs