Ecclesiastical Influence on the Legend of the Holy Grail

This is a 1914 thesis written by Nelson Crawford Jr

Securities Fraud Prosecutions: Still Viable Under California Securities Law After Simon?

This Article discusses the prospect of securities fraud criminal prosecutions after the landmark decision People v. Simon, decided by the California Supreme Court in 1995. The California Supreme Court held that neither guilty knowledge nor criminal intent was required for a criminal conviction under Corporations Code 25401. This Article poses the question as to whether criminal prosecution is still a viable tool for enforcing California\u27s anti-fraud provision. The authors answer the question with a resounding yes, concluding that criminal prosecution for securities fraud will continue even in the aftermath of Simon

Restriction polymorphism maps of Neurospora crassa: 1998 update.

Restriction fragment length polymorphisms (RFLPs) can be used to determine the approximate map location of any cloned piece of DNA. To establish an RFLP mapping system for N. crassa, R.L. Metzenberg and coworkers crossed strains with multiple sequence differences, Oak Ridge laboratory strains (designated O ) and a Mauriceville-1c wild-collected strain (designated M ; Metzenberg et al. 1984 Neurospora Newsl. 31:35-39; ibid. 1985 Proc. Natl. Acad. Sci. U.S.A.82:2067-2071; Metzenberg and Grotelueschen 1995 Fungal Genet. Newsl. 42:82-90). Progeny from two separate crosses have been widely distributed and used for mapping. For the first cross, 38 progeny from ordered asci were analyzed; since nonsister spores from the same half of the ascus were selected, first-division segregation can be distinguished from second-division. For the second cross only 18 random ascospore progeny were analyzed, and the small numbers limit resolution capabilities. Given this limitation, we encourage researchers to use the first cross for RFLP mapping. However, updated maps for both crosses are presented here

Household Energy Utilization by the Elderly

A paper presented by Robert A. Bylund, Nelson L. LeRay and Charles O. Crawford to the United States Special Senate Committee on Aging on November 26, 1979

A new approach to social behavior simulation: the mask model

This paper proposes a new perspective, based on the concept of social masks, for the simulation of a realistic NPC (Non-Player Character) behavior. The Mask Model goal is to support AI techniques for autonomous agents by encouraging or discouraging behaviors according to the social environment and by providing knowledge about possible reactions to the agent actions. In this approach, the NPC tendencies are controlled by the interactions of three overlapping mask layers: self- perception layer, social layer and interpersonal layer. The masks mould the tendencies, the feelings and the ethics of a NPC. By changing the links between characters and masks, a wide variety of different behaviors and story-lines may arise. The paper present an algorithm for the selection of the actions and an example implementation

Ten Simple Rules for Responsible Big Data Research

The use of big data research methods has grown tremendously over the past five years in both academia and industry. As the size and complexity of available datasets has grown, so too have the ethical questions raised by big data research. These questions become increasingly urgent as data and research agendas move well beyond those typical of the computational and natural sciences, to more directly address sensitive aspects of human behavior, interaction, and health. The tools of big data research are increasingly woven into our daily lives, including mining digital medical records for scientific and economic insights, mapping relationships via social media, capturing individuals’ speech and action via sensors, tracking movement across space, shaping police and security policy via “predictive policing,” and much more

Melting as a String-Mediated Phase Transition

We present a theory of the melting of elemental solids as a dislocation-mediated phase transition. We model dislocations near melt as non-interacting closed strings on a lattice. In this framework we derive simple expressions for the melting temperature and latent heat of fusion that depend on the dislocation density at melt. We use experimental data for more than half the elements in the Periodic Table to determine the dislocation density from both relations. Melting temperatures yield a dislocation density of (0.61\pm 0.20) b^{-2}, in good agreement with the density obtained from latent heats, (0.66\pm 0.11) b^{-2}, where b is the length of the smallest perfect-dislocation Burgers vector. Melting corresponds to the situation where, on average, half of the atoms are within a dislocation core.Comment: 18 pages, LaTeX, 3 eps figures, to appear in Phys. Rev.

Seeing sadness: Comorbid effects of loneliness and depression on emotional face processing

© 2021 The Authors. Background/Objective: Loneliness and depression are highly comorbid, and both are associated with social processing deficits. However, there is a paucity of research aimed at differentiating emotional face-processing deficits that are comorbid to loneliness and depression versus those attributable to loneliness or depression only. Methods: 502 participants were recruited and screened for loneliness (UCLA Loneliness Scale) and depression (Beck Depression Inventory). Of those, seventy-seven took part in a fully crossed 2 (loneliness; low/high) * 2 (depression; low/high) factorial between-subjects design study to assess individual and comorbid effects of loneliness and depression on a computerized morphed facial emotion processing task. Results: Comorbidity was confirmed by a significant positive correlation between loneliness and depression. On the emotion processing task, loneliness was associated with an increased accuracy for sad faces and decreased accuracy for fearful faces and depression with decreased accuracy in identifying happy faces. Comorbid loneliness and depression resulted in an increased misattribution of neutral faces as sad, an effect that was also seen in those who were either only lonely or only depressed. Conclusion: This if the first study to tease out comorbid versus independent effects of loneliness and depression on social information processing. To the extent that emotional biases may act as risk factors for detrimental outcomes, our findings highlight the importance of treating both loneliness and depression

Empowerment or Engagement? Digital Health Technologies for Mental Healthcare

We argue that while digital health technologies (e.g. artificial intelligence, smartphones, and virtual reality) present significant opportunities for improving the delivery of healthcare, key concepts that are used to evaluate and understand their impact can obscure significant ethical issues related to patient engagement and experience. Specifically, we focus on the concept of empowerment and ask whether it is adequate for addressing some significant ethical concerns that relate to digital health technologies for mental healthcare. We frame these concerns using five key ethical principles for AI ethics (i.e. autonomy, beneficence, non-maleficence, justice, and explicability), which have their roots in the bioethical literature, in order to critically evaluate the role that digital health technologies will have in the future of digital healthcare

1952 Ruby Yearbook

A digitized copy of the 1952 Ruby, the Ursinus College yearbook.https://digitalcommons.ursinus.edu/ruby/1054/thumbnail.jp