Assimilation to the United States: A Study of the Adjustment of Status and the Immigration Marriage Fraud Statutes

A couple, who for the purposes of this article shall be identified as the Smiths, a citizen and nonimmigrant student, met and began dating in 1984. By 1985 their relationship had progressed to the point that they were living together. Although the Immigration and Naturalization Service (INS or Service)\u27 filed deportation proceedings against the alien during the same year for overstaying a student visa, the couple was probably unconcerned, as they planned to marry

Beef heifer planning budget

"Using this planning budget, farmers raising beef heifers may estimate their costs and returns for 2023. Table 1 presents estimates for calves purchased and sold later as bred replacement heifers in Missouri. Assumptions were based on price forecasts as of September 2022. Detailed inputs, feed requirements and machinery investments are summarized in Tables 2, 3 and 4. The production practices used to develop these cost estimates are common in Missouri beef farms. Use the 'Your estimate' column to plan your operation's costs and returns for 2023."--Page 1.Written by Wesley Tucker, Field Specialist, Agricultural Business; Joe Horner, State Specialist, Agricultural Business and Policy ExtensionNew 10/2018; Revised 09/202

Southern Missouri beef cow-calf planning budget

"Using this planning budget, beef cow-calf farmers may estimate their costs and returns for 2023. Table 1 presents estimates for a cow-calf operation (50-cow herd size and purchased replacements) in Southern Missouri with either a fall or spring calving season. Assumptions were based on price forecasts as of September 2022. Detailed assumptions and feed requirements are summarized in Tables 2, 3 and 4. The production practices used to develop these cost estimates are common in Missouri beef farms. Use the “Your estimate” column to plan your operation’s costs and returns for 2023."--Page 1.Written by Wesley Tucker, Field Specialist, Agricultural Business; Joe Horner, State Specialist, Agricultural Business and Policy Extensio

Southern Missouri beef cow-calf planning budget

"This budget presents information useful to beef farmers. Table 1 provides estimates for the 2021 year on a cow-calf operation (50-cow herd size and purchased replacements) in Southern Missouri for a fall and spring calving season. Assumptions were based on price forecasts as of October 2020. Detailed assumptions and feed requirements are summarized in Tables 2, 3 and 4. The production practices used to develop these cost estimates are common for beef farms in Missouri. Farmers are encouraged to modify this budget to fit their operation."--First page.Written by: Wesley Tucker (Field Specialist, Agricultural Business), Eldon Cole (Field Specialist, Livestock), Joe Horner (State Specialist, Agricultural Business and Policy)New 10/18; Revised 10/2

Deep Reinforcement Learning in Trading Algorithms

An algorithm that can learn an optimal policy to execute trade profitable is any market participant’s dream. In the project, we propose an algorithm that does just that: a Deep Reinforcement Learning trading algorithm. We design our algorithm by tuning the reward function to our specified constraints, taking into account unrealized Profits and Losses (PnL), Sharpe ratio, profits, and transaction costs. Additionally, we use a short 5-month moving average replay memory in order to ensure our algorithm is basing its decision on the most pertinent information. We combine the aforementioned concepts to make a theoretical Deep Reinforcement Learning trading algorithm

An analog of adjoint ideals and PLT singularities in mixed characteristic

We use the framework of perfectoid big Cohen-Macaulay algebras to define a class of singularities for pairs in mixed characteristic, which we call purely BCM-regular singularities, and a corresponding adjoint ideal. We prove that these satisfy adjunction and inversion of adjunction with respect to the notion of BCM-regularity and the BCM test ideal defined by the first two authors. We compare them with the existing equal characteristic PLT and purely $F$-regular singularities and adjoint ideals. As an application, we obtain a uniform version of the Brian\c{c}on-Skoda theorem in mixed characteristic. We also use our theory to prove that two-dimensional KLT singularities are BCM-regular if the residue characteristic $p>5$, which implies an inversion of adjunction for three-dimensional PLT pairs of residue characteristic $p>5$. In particular, divisorial centers of PLT pairs in dimension three are normal when $p > 5$. Furthermore, in the appendix we provide a streamlined construction of perfectoid big Cohen-Macaulay algebras and show new functoriality properties for them using the perfectoidization functor of Bhatt and Scholze

Test ideals in mixed characteristic: a unified theory up to perturbation

Let $X$ be an integral scheme of finite type over a complete DVR of mixed characteristic. We provide a definition of a test ideal which agrees with the multiplier ideal after inverting $p$, can be computed from a sufficiently large alteration, agrees with previous mixed characteristic BCM test ideals after localizing and completing at any point of residue characteristic $p$ (up to small perturbation), and which satisfies the full suite of expected properties of a multiplier or test ideal. This object is obtained via the $p$-adic Riemann-Hilbert functor.Comment: 99 pages, comments welcom

Chuck Me The Chili, Lily

No cover arthttps://scholarsjunction.msstate.edu/cht-sheet-music/9044/thumbnail.jp

Tailings Dust Emissions

Fugitive dust emissions from the storage and handling of mine tailings presents environmental and safety concerns, which must be addressed to promote the land sustainability and the health and safety of individuals around a tailings storage facility (TSF). The investigated dust control methods were agglomeration, binder slurry injection, and topical spray. The Dust Busters determined that pelletizing was the most practical method of agglomeration. In order to produce durable pellets from the mine tailings, which consist primarily of silica, a binder must be added. A variety of binders were considered including magnesium and calcium chloride, bentonite, barite, cement, vinyl polymers, acrylic polymers, starch, carboxymethyl cellulose, and a commercial lignosulfonate/bitumen blend. Portland cement proved to be the most effective binder in regards to the pellet’s cost, structural integrity, and longevity. However, due to the abrasive nature of the tailings, pelletizing is not cost effective in comparison to other dust suppression techniques. Binder slurry injection incorporates a pugmill mixer to inject a binding agent into the tailings slurry. Addition of a binder allows the slurry mixture to form a rigid crust that prevents fugitive dust once dried on the existing tailings dam. While the injected slurry is effective at minimizing dust emissions, it is not economically feasible due to high capital costs. The most effective, environmentally safe, and economically feasible solution to reduce the dust associated with tailings storage facilities is a topical spray solution consisting of a vinyl copolymer. The vinyl copolymer, at relatively low concentrations, produces a robust yet permeable crust along the surface of the tailings, which is unmatched in comparison to the other binding agents. By applying the binder as topical solution rather than injecting the binder into the slurry, the capital cost for effective dust suppression is reduced by eliminating the additional process equipment required for both pelletizing and binder slurry injection. Treating 400 acres per year with a vinyl copolymer application costs $110,000. Existing equipment and personnel are adequate to change from the current magnesium chloride treatment to a vinyl copolymer treatment. Current yearly treatments using the magnesium chloride cost approximately$240,000-$720,000 assuming 1-3 applications per year across the 400 acre area; thus changing to a vinyl copolymer treatment will save$130,000-$390,000 per year