Case Studies of Strategic Alliances in Southeastern Beef Production

Three calf marketing and three commercial beef carcass strategic alliances were examined via case study to determine alliance structure and whether each addressed risk, transaction costs, capital availability, and other concerns. The alliances reduced transaction costs and increased information flow among segments, but did not specifically address risk.Livestock Production/Industries,

Case Studies of Strategic Alliances in U.S. Beef Production

Calf marketing, commercial beef carcass, and natural/implant-free beef strategic alliances were examined via case study to determine alliance structure and whether each addressed risk, transaction costs, capital availability, and other concerns. All alliances were structured differently through vertical or horizontal coordination, and each had been established within the past 12 years. Alliance administrators reported that an advantage to cow-calf producers was higher cattle prices received relative to producers outside the alliances. The alliances reduced transaction costs and increased information flow among segments. Alliances did not specifically address risk or increased access to capital for technology adoption or expansion purposes.cattle industry, industry structure, risk, strategic alliances, transaction costs, Agribusiness, Livestock Production/Industries,

Achievable efficiencies for probabilistically cloning the states

We present an example of quantum computational tasks whose performance is enhanced if we distribute quantum information using quantum cloning. Furthermore we give achievable efficiencies for probabilistic cloning the quantum states used in implemented tasks for which cloning provides some enhancement in performance.Comment: 9 pages, 8 figure

SGLD-Based Information Criteria and the Over-Parameterized Regime

Double-descent refers to the unexpected drop in test loss of a learning algorithm beyond an interpolating threshold with over-parameterization, which is not predicted by information criteria in their classical forms due to the limitations in the standard asymptotic approach. We update these analyses using the information risk minimization framework and provide Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) for models learned by stochastic gradient Langevin dynamics (SGLD). Notably, the AIC and BIC penalty terms for SGLD correspond to specific information measures, i.e., symmetrized KL information and KL divergence. We extend this information-theoretic analysis to over-parameterized models by characterizing the SGLD-based BIC for the random feature model in the regime where the number of parameters $p$ and the number of samples $n$ tend to infinity, with $p/n$ fixed. Our experiments demonstrate that the refined SGLD-based BIC can track the double-descent curve, providing meaningful guidance for model selection and revealing new insights into the behavior of SGLD learning algorithms in the over-parameterized regime

Hubungan antara Perilaku Belajar Siswa dalam Pembelajaran Ekonomi dengan Hasil Belajar Siswa di SMA

: "This study intend to dig up information about correlation between student learning behavior in the learning economy with learning outcomes at grade 10 SMAS taman Mulia at Kubu raya district. Population in this research aggregate 105 student with samples a total of 30 student were determined by random sampling technique. Collecting data using the technique of direct communication, indirect communication techniques and techniques of documentary studies with data collection tools such as observation sheets, interview, questionnaire and learning outcomes that come from school. Based on the analysis of product moment correlation, obtained, rhitungan < rtabel 0,138 dan rtabel < 0,361, pada db N = 30. Apparently the price r xy = 0.138 r smaller than the table ,This means giving the consequences of rejecting Ha , which reads : " There is a positive and significant relationship between behavioral study with the results of student learning in the learning economy in SMAs Taman Mulia Kubu Raya " and accept Ho , which reads : " There is a positive and significant relationship behavior learning with student learning outcomes in the learning economy in SMAs Taman Mulia Kubu Raya

Keratin 6a marks mammary bipotential progenitor cells that can give rise to a unique tumor model resembling human normal-like breast cancer.

Progenitor cells are considered an important cell of origin of human malignancies. However, there has not been any single gene that can define mammary bipotential progenitor cells, and as such it has not been possible to use genetic methods to introduce oncogenic alterations into these cells in vivo to study tumorigenesis from them. Keratin 6a is expressed in a subset of mammary luminal epithelial cells and body cells of terminal end buds. By generating transgenic mice using the Keratin 6a (K6a) gene promoter to express tumor virus A (tva), which encodes the receptor for avian leukosis virus subgroup A (ALV/A), we provide direct evidence that K6a(+) cells are bipotential progenitor cells, and the first demonstration of a non-basal location for some biopotential progenitor cells. These K6a(+) cells were readily induced to form mammary tumors by intraductal injection of RCAS (an ALV/A-derived vector) carrying the gene encoding the polyoma middle T antigen. Tumors in this K6a-tva line were papillary and resembled the normal breast-like subtype of human breast cancer. This is the first model of this subtype of human tumors and thus may be useful for preclinical testing of targeted therapy for patients with normal-like breast cancer. These observations also provide direct in vivo evidence for the hypothesis that the cell of origin affects mammary tumor phenotypes