Diversity in Boardrooms and Firm Performance: The Role of Tenure and Educational Level of Board Members

Diversity on corporate boards has been studied from different perspectives in recent decades. The present study aims at investigating the impact on firm performance of two demographic diversity traits in boardrooms: tenure and educational diversity. The extant literature does not provide aligned findings on this topic, thus further research is still needed. The authors hypothesize that both tenure and educational diversity of board members have a positive effect on firm performance. To measure firm performance two dependent variables are used, applying two models for each hypothesis investigated Tobin\u2019s Q and return on assets. The study is conducted using sample data of 187 listed firms within the European area, covering a 9-year period, from 2010 to 2018. Diversity dimensions are measured through indexes constructed on the basis of the mix among the directors in terms of educational level and tenure. The outcomes highlight a significant and positive relationship between tenure diversity on corporate boards and firm performance. In terms of the impact of educational diversity, no evidence indicating a positive effect on firm performance is found. The research carried out is unique because it considers two personal attributes of diversity calculating diversity indexes and measuring their impact on the firm\u2019s performance. The econometric approach used has not been extensively applied in previous research. In fact, the majority of previous empirical studies have measured diversity through percentages or dummy variables, depending on the type of diversity aspect being analyzed, and then used it as the independent variable

Correction to: Deep reinforcement learning for multi-objective placement of virtual machines in cloud datacenters

Page 2: Column 2, lines 2-4, previously read: "Specifically, we consider a decision maker that, after a proper training, is able to select the most suitable heuristic for compute the placement for each VM requested by end users"

Extending P4 in-band telemetry to user equipment for latency-and localization-aware autonomous networking with AI forecasting

In beyond-5G networks, detailed end-to-end monitoring of specific application traffic will be required along with the access-backhaul-cloud continuum to enable low latency service due to local edge steering. Current monitoring solutions are confined to specific network segments. In-band network telemetry (INT) technologies for software defined network (SDN) programmable data planes based on the P4 language are effective in the backhaul network segment, although limited to inter-switch latency; therefore, link latencies including wireless and optical segments are excluded from INT monitoring. Moreover, information such as user equipment (UE) geolocation would allow detailed mobility monitoring and improved cloud-edge steering policies. However, the synchronization between latency and location information, typically provided by different platforms, is hard to achieve with current monitoring systems. In this paper, P4-based INT is proposed to be thoroughly extended involving UE. The INT mechanism is designed to provide synchronized and accurate end-to-end latency and geolocation information, enabling decentralized steering policies, i.e., involving UE and selected switches, without SDN controller intervention. The proposal also includes an artificial-intelligence-assisted forecast system able to predict latency and geolocation in advance and trigger faster edge steering

The spectral element method as an effective tool for solving large scale dynamic soil-structure interaction problems

The spectral element method (SEM) is a powerful numerical technique naturally suited for wave propagation and dynamic soil-structure interaction (DSSI) analyses. A class of SEM has been widely used in the seismological field (local or global seismology) thanks to its capability of providing high accuracy and allowing the implementation of optimized parallel algorithms. We illustrate inthis contribution how the SEM can be effectively used also for the numerical analysis of DSSI problems, with reference to the 3D seismic response of a railway viaduct in Italy. This numerical analysis includes the combined effect of: a) strong lateral variations of soil properties; b) topographic amplification; c) DSSI; d) spatial variation of earthquake ground motion in the structural response. Some hints on the work in progress to effectively handle nonlinear problems with SEM are also given

Corrigendum to a new neurocognitive interpretation of shoulder position sense during reaching:unexpected competence in the measurement of extracorporeal space

[This corrects the article DOI: 10.1155/2016/9065495.

A new neurocognitive interpretation of shoulder position sense during reaching: unexpected competence in the measurement of extracorporeal space

Background.The position sense of the shoulder joint is important during reaching. Objective. To examine the existence of additional competence of the shoulder with regard to the ability to measure extracorporeal space, through a novel approach, using the shoulder proprioceptive rehabilitation tool (SPRT), during reaching. Design. Observational case-control study. Methods. We examined 50 subjects: 25 healthy and 25 with impingement syndrome with a mean age [years] of 64.52 +/− 6.98 and 68.36 +/− 6.54, respectively. Two parameters were evaluated using the SPRT: the integration of visual information and the proprioceptive afferents of the shoulder (Test 1) and the discriminative proprioceptive capacity of the shoulder, with the subject blindfolded (Test 2). These tasks assessed the spatial error (in centimeters) by the shoulder joint in reaching movements on the sagittal plane. Results. The shoulder had proprioceptive features that allowed it to memorize a reaching position and reproduce it (error of 1.22 cm to 1.55 cm in healthy subjects). This ability was lower in the impingement group, with a statistically significant difference compared to the healthy group ( < 0.05 by Mann–Whitney test). Conclusions. The shoulder has specific expertise in the measurement of the extracorporeal space during reaching movements that gradually decreases in impingement syndrome

Fast Simulations of Highly-Connected Spiking Cortical Models Using GPUs

Over the past decade there has been a growing interest in the development of parallel hardware systems for simulating large-scale networks of spiking neurons. Compared to other highly-parallel systems, GPU-accelerated solutions have the advantage of a relatively low cost and a great versatility, thanks also to the possibility of using the CUDA-C/C++ programming languages. NeuronGPU is a GPU library for large-scale simulations of spiking neural network models, written in the C++ and CUDA-C++ programming languages, based on a novel spike-delivery algorithm. This library includes simple LIF (leaky-integrate-and-fire) neuron models as well as several multisynapse AdEx (adaptive-exponential-integrate-and-fire) neuron models with current or conductance based synapses, different types of spike generators, tools for recording spikes, state variables and parameters, and it supports user-definable models. The numerical solution of the differential equations of the dynamics of the AdEx models is performed through a parallel implementation, written in CUDA-C++, of the fifth-order Runge-Kutta method with adaptive step-size control. In this work we evaluate the performance of this library on the simulation of a cortical microcircuit model, based on LIF neurons and current-based synapses, and on balanced networks of excitatory and inhibitory neurons, using AdEx or Izhikevich neuron models and conductance-based or current-based synapses. On these models, we will show that the proposed library achieves state-of-the-art performance in terms of simulation time per second of biological activity. In particular, using a single NVIDIA GeForce RTX 2080 Ti GPU board, the full-scale cortical-microcircuit model, which includes about 77,000 neurons and 3 · 108 connections, can be simulated at a speed very close to real time, while the simulation time of a balanced network of 1,000,000 AdEx neurons with 1,000 connections per neuron was about 70 s per second of biological activity

Living Together: Conservative Protestants and Cohabitation

Recent research finds that conservative Protestants are cohabiting in no small numbers. Given the strict moral orientation of conservative Protestants, that outcome appears paradoxical. This thesis explains that paradox through the culture in action models of Swidler (1986), given the social and economic location of conservative Protestants. The thesis employs pooled General Social Survey data from 1993 to 2008 in which a question is asked that indicates cohabitation. The thesis finds that the social and economic location of conservative Protestants is related to their cohabiting. Though conservative Protestant cohabitors have lessened religiosity, much of the decline in religiosity compared to married conservative Protestants is due to the factors leading to cohabitation. But views and practices on premarital sex are the greatest factor in reducing that difference. The evidence in this thesis lends support to Swidler’s models of settled and unsettled lives in explaining cohabitation among conservative Protestants