CSR Business as Usual? The Case of the Tobacco Industry

Tobacco companies have started to position themselves as good corporate citizens. The effort towards CSR engagement in the tobacco industry is not only heavily criticized by anti-tobacco NGOs. Some opponents such as the the World Health Organization have even categorically questioned the possibility of social responsibility in the tobacco industry. The paper will demonstrate that the deep distrust towards tobacco companies is linked to the lethal character of their products and the dubious behavior of their representatives in recent decades. As a result, tobacco companies are not in the CSR business in the strict sense. Key aspects of mainstream CSR theory and practice such as corporate philanthropy, stakeholder collaboration, CSR reporting and self-regulation, are demonstrated to be ineffective or even counterproductive in the tobacco industry. Building upon the terminology used in the leadership literature, the paper proposes to differentiate between transactional and transformational CSR arguing that tobacco companies can only operate on a transactional level. As a consequence, corporate responsibility in the tobacco industry is based upon a much thinner approach to CSR and has to be conceptualized with a focus on transactional integrity across the tobacco supply chain

Genetic Association Study of Adiposity and Melanocortin-4 Receptor (MC4R) Common Variants: Replication and Functional Characterization of Non-Coding Regions

Common genetic variants 3' of MC4R within two large linkage disequilibrium (LD) blocks spanning 288 kb have been associated with common and rare forms of obesity. This large association region has not been refined and the relevant DNA segments within the association region have not been identified. In this study, we investigated whether common variants in the MC4R gene region were associated with adiposity-related traits in a biracial population-based study. Single nucleotide polymorphisms (SNPs) in the MC4R region were genotyped with a custom array and a genome-wide array and associations between SNPs and five adiposity-related traits were determined using race-stratified linear regression. Previously reported associations between lower BMI and the minor alleles of rs2229616/Val103Ile and rs52820871/Ile251Leu were replicated in white female participants. Among white participants, rs11152221 in a proximal 3' LD block (closer to MC4R) was significantly associated with multiple adiposity traits, but SNPs in a distal 3' LD block (farther from MC4R) were not. In a case-control study of severe obesity, rs11152221 was significantly associated. The association results directed our follow-up studies to the proximal LD block downstream of MC4R. By considering nucleotide conservation, the significance of association, and proximity to the MC4R gene, we identified a candidate MC4R regulatory region. This candidate region was sequenced in 20 individuals from a study of severe obesity in an attempt to identify additional variants, and the candidate region was tested for enhancer activity using in vivo enhancer assays in zebrafish and mice. Novel variants were not identified by sequencing and the candidate region did not drive reporter gene expression in zebrafish or mice. The identification of a putative insulator in this region could help to explain the challenges faced in this study and others to link SNPs associated with adiposity to altered MC4R expression

Predicting Intended Movement Direction Using EEG from Human Posterior Parietal Cortex

Abstract. The posterior parietal cortex (PPC) plays an important role in motor planning and execution. Here, we investigated whether noninvasive electroencephalographic (EEG) signals recorded from the human PPC can be used to decode intended movement direction. To this end, we recorded wholehead EEG with a delayed saccade-or-reach task and found direction-related modulation of event-related potentials (ERPs) in the PPC. Using parietal EEG components extracted by independent component analysis (ICA), we obtained an average accuracy of 80.25 % on four subjects in binary single-trial EEG classification (left versus right). These results show that in the PPC, neuronal activity associated with different movement directions can be distinguished using EEG recording and might, thus, be used to drive a noninvasive brainmachine interface (BMI). Key words: posterior parietal cortex (PPC); electroencephalography (EEG); independent component analysis (ICA); brain-machine interface (BMI).

Challenges in periprosthetic knee-joint infection

The number of knee arthroplasty procedures is growing and projected to further increase. The risk for periprosthetic joint infection (PJI) is estimated to be low (>1%). However, considering the increasing number of total knee arthroplasty, the increasing number of patients with multiple comorbidities, and the lifelong risk for acquiring hematogenous infection, the total number of PJI will further increase. Despite existing treatment concepts for PJI of the knee, there are still questions to solve, such as type of debridement surgery in case of implant retention, the role of a spacer from a microbiological perspective, and the optimal duration of antimicrobial therapy. In this REVIEW, these questions will be analyzed according to the available literature and the experience of the authors. Moreover, we REVIEW the most recent data on infection, risk factors, and microbiology of PJI