The Accounting Profession’s Engagement with Accounting Standards: Conceptualizing Accounting Complexity through Big 4 Comment Letters

Regulators, standard setters, and the accounting profession maintain that complexity in accounting standards is a significant issue. However, it is unclear what complexity means in the context of accounting standards. This study examines, via comment letter submissions, the accounting profession’s engagement with complexity in accounting standards. We analyze comment letters submitted to the Financial Accounting Standards Board over a 12-year period and find the profession characterizes complexity through three dimensions – multiplicity, diversity, and interrelatedness. We examine the Big 4’s discourse on these dimensions and observe consistency between audit firms in their discourse on several features. For instance, we find that firms primarily oppose proposed FASB changes when firms perceive those changes to increase rather than decrease complexity. Additionally, firms perceive proposed changes to affect financial statement preparers more often than other stakeholders. However, the Big 4 do not hold universal opinions as to the root causes of complexity. At the cross-firm level, we find inconsistencies that imply heterogeneity in the Big 4’s discourse on root causes. Such inconsistency may, in and of itself, construct accounting complexity. Ultimately, we maintain that the Big 4’s engagement with accounting standards has consequences for how complexity is thought and acted upon in accounting standards

Role of homeostasis in learning sparse representations

Neurons in the input layer of primary visual cortex in primates develop edge-like receptive fields. One approach to understanding the emergence of this response is to state that neural activity has to efficiently represent sensory data with respect to the statistics of natural scenes. Furthermore, it is believed that such an efficient coding is achieved using a competition across neurons so as to generate a sparse representation, that is, where a relatively small number of neurons are simultaneously active. Indeed, different models of sparse coding, coupled with Hebbian learning and homeostasis, have been proposed that successfully match the observed emergent response. However, the specific role of homeostasis in learning such sparse representations is still largely unknown. By quantitatively assessing the efficiency of the neural representation during learning, we derive a cooperative homeostasis mechanism that optimally tunes the competition between neurons within the sparse coding algorithm. We apply this homeostasis while learning small patches taken from natural images and compare its efficiency with state-of-the-art algorithms. Results show that while different sparse coding algorithms give similar coding results, the homeostasis provides an optimal balance for the representation of natural images within the population of neurons. Competition in sparse coding is optimized when it is fair. By contributing to optimizing statistical competition across neurons, homeostasis is crucial in providing a more efficient solution to the emergence of independent components

Atomistic mechanisms for the ordered growth of Co nano-dots on Au(788): comparison of VT-STM experiments and multi-scaled calculations

Hetero-epitaxial growth on a strain-relief vicinal patterned substrate has revealed unprecedented 2D long range ordered growth of uniform cobalt nanostructures. The morphology of a Co sub-monolayer deposit on a Au(111) reconstructed vicinal surface is analyzed by Variable Temperature Scanning Tunneling Microscopy (VT-STM) experiments. A rectangular array of nano-dots (3.8 nm x 7.2 nm) is found for a particularly large deposit temperature range lying from 60 K to 300 K. Although the nanodot lattice is stable at room temperature, this paper focus on the early stage of ordered nucleation and growth at temperatures between 35 K and 480 K. The atomistic mechanisms leading to the nanodots array are elucidated by comparing statistical analysis of VT-STM images with multi-scaled numerical calculations combining both Molecular Dynamics for the quantitative determination of the activation energies for the atomic motion and the Kinetic Monte Carlo method for the simulations of the mesoscopic time and scale evolution of the Co submonolayer

Stakeholder Perceptions of Risk in Mandatory Corporate Responsibility Disclosure

The extraction of natural resources is a controversial business practice that has profound ethical and economic risk implications for both firms involved in extractive activities and society at large. In response to these implications, the Dodd-Frank Act of 2010 directed the Securities and Exchange Commission (SEC) to create the first ever rules requiring annual corporate responsibility disclosures. The two proposed rules, requiring disclosure of the source of “conflict minerals” and of payments to foreign governments by extractive firms, conjured intense debate among stakeholders, largely related to the risks of firms providing (or not providing) the information. These risks span from required disclosures increasing compliance costs for firms to non-disclosure threatening human rights. In this study we seek to understand the way in which stakeholders perceive the risks associated with corporate responsibility disclosures. We analyze comment letters submitted to the SEC related to the two disclosure rules through the lens of Mary Douglas’s (1986) cultural perspectives of risk. We find consistencies across the two proposed disclosures with regards to the presence of three risk perspectives within the comment letter discourse for each proposal. We find inconsistencies, however, in the underlying nature of risk perceived across the two rules, which we argue reveals an aspect of risk that incorporates ethicality and is ultimately linked to reputational considerations. We complement these insights by analyzing the market reaction to the proposed regulations. Overall, our analysis suggests that stakeholders’ perceptions of risk have consequences for how risk is perceived and acted upon in the market

Introduction de l'ouvrage : "Le retour des paysans ?"

Cet article est le texte introductif de l'ouvrage « Le retour des paysans ? », lui-même issu d'un colloque tenu à Marseille les 11 et 12 décembre 2003. Cette manifestation avait permis de réunir de nombreux chercheurs et doctorants représentant la plupart des disciplines en sciences sociales et analysant des situations très diverses, au Nord et au Sud. Cet ouvrage collectif est en partie le fruit de cette rencontre interdisciplinaire sur un terrain chargé de passions : les paysans et l'environnement

QPSK Modulation in the O-Band Using a Single Dual-Drive Mach Zehnder Silicon Modulator

[EN] Keeping up with bandwidth requirements in next generation short- and long-reach optical communication systems will require migrating from simple modulation formats such as on-off keying to more advanced formats such as quaternary phase-shift keying (QPSK). In this paper, we report the first demonstration of QPSK signal generation in the O-band using a silicon dual-drive Mach-Zehnder modulator (DD-MZM). The performance of the silicon DD-MZM is assessed at 20 Gb/s and compared against a similar DD-MZM based on LiNbO3, showing a limited implementation power penalty of only 1.5 dB.This work was supported in part by the European project Plat4m (FP7-2012-318178); European project Cosmicc (H2020-ICT-27-2015- 688516); French Industry Ministry Nano2017 program.Pérez-Galacho, D.; Bramerie, L.; Baudot, C.; Chaibi, M.; Messaoudène, S.; Vulliet, N.; Vivien, L.... (2018). QPSK Modulation in the O-Band Using a Single Dual-Drive Mach Zehnder Silicon Modulator. Journal of Lightwave Technology. 36(18):3935-3940. https://doi.org/10.1109/JLT.2018.2851370S39353940361

States on pseudo effect algebras and integrals

We show that every state on an interval pseudo effect algebra $E$ satisfying some kind of the Riesz Decomposition Properties (RDP) is an integral through a regular Borel probability measure defined on the Borel $\sigma$-algebra of a Choquet simplex $K$. In particular, if $E$ satisfies the strongest type of (RDP), the representing Borel probability measure can be uniquely chosen to have its support in the set of the extreme points of $K.

The STAR Silicon Strip Detector (SSD)

The STAR Silicon Strip Detector (SSD) completes the three layers of the Silicon Vertex Tracker (SVT) to make an inner tracking system located inside the Time Projection Chamber (TPC). This additional fourth layer provides two dimensional hit position and energy loss measurements for charged particles, improving the extrapolation of TPC tracks through SVT hits. To match the high multiplicity of central Au+Au collisions at RHIC the double sided silicon strip technology was chosen which makes the SSD a half million channels detector. Dedicated electronics have been designed for both readout and control. Also a novel technique of bonding, the Tape Automated Bonding (TAB), was used to fullfill the large number of bounds to be done. All aspects of the SSD are shortly described here and test performances of produced detection modules as well as simulated results on hit reconstruction are given.Comment: 11 pages, 8 figures, 1 tabl

Applications of multi-walled carbon nanotube in electronic packaging

Thermal management of integrated circuit chip is an increasing important challenge faced today. Heat dissipation of the chip is generally achieved through the die attach material and solders. With the temperature gradients in these materials, high thermo-mechanical stress will be developed in them, and thus they must also be mechanically strong so as to provide a good mechanical support to the chip. The use of multi-walled carbon nanotube to enhance the thermal conductivity, and the mechanical strength of die attach epoxy and Pb-free solder is demonstrated in this work