Ideology and economics; U.S. relations with the Soviet Union, 1918-1933

Includes bibliographical references (pages 169-183) and index.Hoff discusses the conmplications and contradictions between the political ideologies and economic interests of American administrations in regard to relations with the Soviet Union following World War I.Perspectives: Genenal Views of U.S. Businessmen and Soviet Officials -- Rationalizations: Views of Herbert Hoover and Charles Evans Hughes -- Disharmony: Minority and Majority Views Within the Business Community -- Confusion: Views of Business and Government Leaders, 1925-1931 -- Myth: The View Concerning Business and Recognition -- Interpretations: Conflicting Views Among U.S. Historians -- Appendixes : A. Armand Hammer, B. W. Averell Harriman, C. Henry Ford, D. New Jersey Standard.Digitized at the University of Missouri--Columbia MU Libraries Digitization Lab in 2013. Digitized at 600 dpi with Zeutschel, OS 15000 scanner. Access copy, available in MOspace, is 400 dpi, grayscale

A Grand Illusion: Continuing the Debate on General Education

Basic curriculum reform is difficult at best to achieve. Although it was quickly obtained in the 1960s, when grade inflation and the proliferation of relevant courses accompanied the elimination of requirements, the result was faculty withdrawal or acquiescence, not basic reform. Consequently, recent moves by Harvard, Stanford, and other prestigious schools to redesign undergraduate programs represent the first attempt at fundamental curriculum reform since the 1930s and \u2740s. Unfortunately, because these efforts come largely in reaction to the changes of the 1960s and to the disturbing decline in undergraduate enrollments, especially in the humanities, they tend to offer old wine in new bottles. They are characterized by retreat on the part of overly tenured, largely male faculties to the good ole days of training scientifically-literate Renaissance men, rather than steps forward based on nonsexist education offered for over a decade now by teachers of women\u27s studies and ethnic studies and by feminists in various disciplines. Given the economic retrenchment in higher education, significant curriculum change is unlikely to occur again in major institutions before the end of the century. Even in the best of economic times, basic curriculum reform seems to appear in forty-to-fifty-year cycles. If history is any guide, it is unrealistic to anticipate more reform than has already taken place, at least at institutions like Harvard and Stanford and those that emulate them. I point out these patterns because the suggestions for improving humanities programs offered by Carolyn Lougee in the Spring issue of the Women\u27s Studies Quarterly, as well as those offered by Christine Froula and Adrienne Munich, rest on the assumption that the frugal 1980s and \u2790s will be more conducive to curriculum reform at these elitist schools than the prosperous 1950s and \u2760s

Closeup: Sacramento Women\u27s Studies Program

Women\u27s Studies at Sacramento began with two courses in the spring of 1970, Women in the Modern World and Women in the Law, an extension course: today, there are twenty-six courses and eight extension courses. That fall, 1970, history professor Joan Hoff Wilson and government professor Kirsten Amundsen sponsored a course on the women\u27s movement, The Liberation of the American Woman, oriented for both day and evening women students as well as for community women. To avoid the problem of alienation in large groups, Wilson and Amundsen had speakers for two hours, then broke into small groups for discussion. Speakers included Betty Friedan, Gloria Steinem, Florynce Kennedy, Robin Morgan, Aileen Hernandez, and many others

Dual inhibition of TGF-β and PD-L1: a novel approach to cancer treatment

Immune checkpoint inhibitor; Tumor microenvironmentInhibidor del punto de control inmunitario; Microambiente tumoralInhibidor del punt de control immunitari; Microambient tumoralTransforming growth factor-β (TGF-β) and programmed death ligand 1 (PD-L1) initiate signaling pathways with complementary, nonredundant immunosuppressive functions in the tumor microenvironment (TME). In the TME, dysregulated TGF-β signaling suppresses antitumor immunity and promotes cancer fibrosis, epithelial-to-mesenchymal transition, and angiogenesis. Meanwhile, PD-L1 expression inactivates cytotoxic T cells and restricts immunosurveillance in the TME. Anti-PD-L1 therapies have been approved for the treatment of various cancers, but TGF-β signaling in the TME is associated with resistance to these therapies. In this review, we discuss the importance of the TGF-β and PD-L1 pathways in cancer, as well as clinical strategies using combination therapies that block these pathways separately or approaches with dual-targeting agents (bispecific and bifunctional immunotherapies) that may block them simultaneously. Currently, the furthest developed dual-targeting agent is bintrafusp alfa. This drug is a first-in-class bifunctional fusion protein that consists of the extracellular domain of the TGF-βRII receptor (a TGF-β ‘trap’) fused to a human immunoglobulin G1 (IgG1) monoclonal antibody blocking PD-L1. Given the immunosuppressive effects of the TGF-β and PD-L1 pathways within the TME, colocalized and simultaneous inhibition of these pathways may potentially improve clinical activity and reduce toxicity.This manuscript was funded by the healthcare business of Merck KGaA, Darmstadt, Germany (CrossRef Funder ID: 10.13039/100009945), and was previously part of an alliance between the healthcare business of Merck KGaA, Darmstadt, Germany, and GlaxoSmithKline. Medical writing support was provided by Spencer Hughes of ClinicalThinking, Inc., which was also funded by the healthcare business of Merck KGaA, Darmstadt, Germany, and GlaxoSmithKline in accordance with Good Publication Practice guidelines (http://www.ismpp.org/gpp3). This manuscript was funded in part by the Intramural Research Program of the Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA, and by a Cooperative Research and Development Agreement between the National Cancer Institute and EMD Serono, Billerica, MA, USA (CrossRef Funder ID:10.13039/100004755)

Norms of Presentational Force

This is the author's accepted manuscript, made available with permission of the American Forensic Association.Can style or presentational devices reasonably compel us to believe, agree, act? I submit that they can, and that the normative pragmatic project explains how. After describing a normative pragmatic approach to presentational force, I analyze and evaluate presentational force in Susan B. Anthony's "Is it a Crime for a U. S. Citizen to Vote" as it apparently proceeds from logic, emotion, and style. I conclude with reflections on the compatibility of the normative pragmatic approach with the recently-developed pragma-dialectical treatment of presentational devices

A meta-analysis of previous falls and subsequent fracture risk in cohort studies

NC Harvey acknowledges funding from the UK Medical Research Council (MC_PC_21003; MC_PC_21001). The WHI program is funded by the National Heart, Lung, and Blood Institute, National Institutes of Health, U.S. Department of Health and Human Services through 75N92021D00001, 75N92021D00002, 75N92021D00003, 75N92021D00004, and 75N92021D00005. Funding for the MrOS USA study comes from the National Institute on Aging (NIA), the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), the National Center for Advancing Translational Sciences (NCATS), and NIH Roadmap for Medical Research under the following grant numbers: U01 AG027810, U01 AG042124, U01 AG042139, U01 AG042140, U01 AG042143, U01 AG042145, U01 AG042168, U01 AR066160, and UL1 TR000128. Funding for the SOF study comes from the National Institute on Aging (NIA), and the National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), supported by grants (AG05407, AR35582, AG05394, AR35584, and AR35583). Funding for the Health ABC study was from the Intramural research program at the National Institute on Aging under the following contract numbers: NO1-AG-6–2101, NO1-AG-6–2103, and NO1-AG-6–2106.Peer reviewedPostprin

Previous fracture and subsequent fracture risk : a meta-analysis to update FRAX

A large international meta-analysis using primary data from 64 cohorts has quantified the increased risk of fracture associated with a previous history of fracture for future use in FRAX. The aim of this study was to quantify the fracture risk associated with a prior fracture on an international basis and to explore the relationship of this risk with age, sex, time since baseline and bone mineral density (BMD). We studied 665,971 men and 1,438,535 women from 64 cohorts in 32 countries followed for a total of 19.5 million person-years. The effect of a prior history of fracture on the risk of any clinical fracture, any osteoporotic fracture, major osteoporotic fracture, and hip fracture alone was examined using an extended Poisson model in each cohort. Covariates examined were age, sex, BMD, and duration of follow-up. The results of the different studies were merged by using the weighted β-coefficients. A previous fracture history, compared with individuals without a prior fracture, was associated with a significantly increased risk of any clinical fracture (hazard ratio, HR = 1.88; 95% CI = 1.72-2.07). The risk ratio was similar for the outcome of osteoporotic fracture (HR = 1.87; 95% CI = 1.69-2.07), major osteoporotic fracture (HR = 1.83; 95% CI = 1.63-2.06), or for hip fracture (HR = 1.82; 95% CI = 1.62-2.06). There was no significant difference in risk ratio between men and women. Subsequent fracture risk was marginally downward adjusted when account was taken of BMD. Low BMD explained a minority of the risk for any clinical fracture (14%), osteoporotic fracture (17%), and for hip fracture (33%). The risk ratio for all fracture outcomes related to prior fracture decreased significantly with adjustment for age and time since baseline examination. A previous history of fracture confers an increased risk of fracture of substantial importance beyond that explained by BMD. The effect is similar in men and women. Its quantitation on an international basis permits the more accurate use of this risk factor in case finding strategies

Inferring causal molecular networks: empirical assessment through a community-based effort

Inferring molecular networks is a central challenge in computational biology. However, it has remained unclear whether causal, rather than merely correlational, relationships can be effectively inferred in complex biological settings. Here we describe the HPN-DREAM network inference challenge that focused on learning causal influences in signaling networks. We used phosphoprotein data from cancer cell lines as well as in silico data from a nonlinear dynamical model. Using the phosphoprotein data, we scored more than 2,000 networks submitted by challenge participants. The networks spanned 32 biological contexts and were scored in terms of causal validity with respect to unseen interventional data. A number of approaches were effective and incorporating known biology was generally advantageous. Additional sub-challenges considered time-course prediction and visualization. Our results constitute the most comprehensive assessment of causal network inference in a mammalian setting carried out to date and suggest that learning causal relationships may be feasible in complex settings such as disease states. Furthermore, our scoring approach provides a practical way to empirically assess the causal validity of inferred molecular networks

Inferring causal molecular networks: empirical assessment through a community-based effort

It remains unclear whether causal, rather than merely correlational, relationships in molecular networks can be inferred in complex biological settings. Here we describe the HPN-DREAM network inference challenge, which focused on learning causal influences in signaling networks. We used phosphoprotein data from cancer cell lines as well as in silico data from a nonlinear dynamical model. Using the phosphoprotein data, we scored more than 2,000 networks submitted by challenge participants. The networks spanned 32 biological contexts and were scored in terms of causal validity with respect to unseen interventional data. A number of approaches were effective, and incorporating known biology was generally advantageous. Additional sub-challenges considered time-course prediction and visualization. Our results suggest that learning causal relationships may be feasible in complex settings such as disease states. Furthermore, our scoring approach provides a practical way to empirically assess inferred molecular networks in a causal sense