Reconceptualizing Chinese state-owned entreprise in Africa : double embeddedness and localization in Ghana

Challenging the view of asymmetrical power relations between China and Africa, this thesis questions the "Chinese comparative advantages" (monolithic state power and economic advantages) of Chinese state-owned enterprises (SOEs) in Africa. It argues that the power dynamics between Chinese and African actors are dialectical and pluralistic, with localized social capital representing the true Chinese competitive advantage in Africa. Based on ethnographical fieldwork conducted in Ghana, this thesis shows that Chinese SOEs pursue their globalization in a double context - that of the deliberate "retreat" of the Chinese state, and more importantly, that of Ghanaian governance and society (characterized by political party patronage, extraversion dynamics, and worker agency). The trajectories of Chinese expatriates' expatriation/ social promotion and their SOEs' globalization/ localization are mutually influenced and reinforced. By cultivating local relationships and knowledge, a provincial Chinese SOE in Ghana can outperform a large Chinese central SOE, even if the latter has more support from the Chinese state. Moreover, the recent effort to build a "socially acceptable Chinese community" in Ghana has renewed the power dynamics between the Chinese state and the SOEs. All these observations provide for constructing a new perspective of Chinese SOEs in Africa - a "second-class" Chinese globalization - the SOEs may begin with few privileges, but promotion over time is possible. -- A contre pied des approches postulant des relations de pouvoir asymétriques entre la Chine et l'Afrique, cette thèse interroge les « avantages comparatifs chinois » (pouvoir de l'État monolithique et avantages économiques) des entreprises publiques chinoises (EPC) en Afrique. Elle soutient l'idée selon laquelle les dynamiques de pouvoir entre les acteurs chinois et africains est dialectique et pluraliste, et le capital social localisé étant le véritable avantage compétitif chinois en Afrique. S'appuyant sur un travail de terrain ethnographique au Ghana, cette thèse montre que les EPC poursuivent leur mondialisation dans un double contexte - celui de la «retraite» délibérée de l'État chinois, et, de façon plus importante, celui de la gouvernance et de la société ghanéennes (caractérisées par un clientélisme des partis politiques, une dynamique d'extraversion et le pouvoir de négociation des travailleurs). Les trajectoires d'expatriation / de promotion sociale des expatriés chinois et la mondialisation / localisation de leurs EPC s'influencent et se renforcent mutuellement. En cultivant des relations et des connaissances locales, une EPC provinciale au Ghana peut surpasser une grande EPC centrale, même si cette dernière reçoit plus de soutien de l'État chinois. En outre, les efforts récents visant à construire une «communauté chinoise socialement acceptable» au Ghana ont renouvelé la dynamique du pouvoir entre l'État chinois et les EPC. Ces observations permettent de construire une nouvelle perspective des EPC en Afrique - la globalisation chinoise de « deuxième classe » - les EPC peuvent débuter avec peu de privilèges, mais leur promotion reste possible avec le temps.

Fulvestrant with or without selumetinib, a MEK 1/2 inhibitor, in breast cancer progressing after aromatase inhibitor therapy: A multicentre randomised placebo-controlled double-blind phase II trial, SAKK 21/08.

BACKGROUND: Second line endocrine therapy has limited antitumour activity. Fulvestrant inhibits and downregulates the oestrogen receptor. The mitogen-activated protein kinase (MAPK) pathway is one of the major cascades involved in resistance to endocrine therapy. We assessed the efficacy and safety of fulvestrant with selumetinib, a MEK 1/2 inhibitor, in advanced stage breast cancer progressing after aromatase inhibitor (AI). PATIENTS AND METHODS: This randomised phase II trial included postmenopausal patients with endocrine-sensitive breast cancer. They were ramdomised to fulvestrant combined with selumetinib or placebo. The primary endpoint was disease control rate (DCR) in the experimental arm. ClinicalTrials.gov Indentifier: NCT01160718. RESULTS: Following the planned interim efficacy analysis, recruitment was interrupted after the inclusion of 46 patients (23 in each arm), because the selumetinib-fulvestrant arm did not reach the pre-specified DCR. DCR was 23% (95% confidence interval (CI) 8-45%) in the selumetinib arm and 50% (95% CI 27-75%) in the placebo arm. Median progression-free survival was 3.7months (95% CI 1.9-5.8) in the selumetinib arm and 5.6months (95% CI 3.4-13.6) in the placebo arm. Median time to treatment failure was 5.1 (95% CI 2.3-6.7) and 5.6 (95% CI 3.4-10.2) months, respectively. The most frequent treatment-related adverse events observed in the selumetinib-fulvestrant arm were skin disorders, fatigue, nausea/vomiting, oedema, diarrhoea, mouth disorders and muscle disorders. CONCLUSIONS: The addition of selumetinib to fulvestrant did not show improving patients' outcome and was poorly tolerated at the recommended monotherapy dose. Selumetinib may have deteriorated the efficacy of the endocrine therapy in some patients.

Comparison of double-locus sequence typing (DLST) and multilocus sequence typing (MLST) for the investigation of Pseudomonas aeruginosa populations.

Reliable molecular typing methods are necessary to investigate the epidemiology of bacterial pathogens. Reference methods such as multilocus sequence typing (MLST) and pulsed-field gel electrophoresis (PFGE) are costly and time consuming. Here, we compared our newly developed double-locus sequence typing (DLST) method for Pseudomonas aeruginosa to MLST and PFGE on a collection of 281 isolates. DLST was as discriminatory as MLST and was able to recognize "high-risk" epidemic clones. Both methods were highly congruent. Not surprisingly, a higher discriminatory power was observed with PFGE. In conclusion, being a simple method (single-strand sequencing of only 2 loci), DLST is valuable as a first-line typing tool for epidemiological investigations of P. aeruginosa. Coupled to a more discriminant method like PFGE or whole genome sequencing, it might represent an efficient typing strategy to investigate or prevent outbreaks.

Two-dimensional probabilistic inversion of plane-wave electromagnetic data: Methodology, model constraints and joint inversion with electrical resistivity data

Probabilistic inversion methods based on Markov chain Monte Carlo (MCMC) simulation are well suited to quantify parameter and model uncertainty of nonlinear inverse problems. Yet, application of such methods to CPU-intensive forward models can be a daunting task, particularly if the parameter space is high dimensional. Here, we present a 2-D pixel-based MCMC inversion of plane-wave electromagnetic (EM) data. Using synthetic data, we investigate how model parameter uncertainty depends on model structure constraints using different norms of the likelihood function and the model constraints, and study the added benefits of joint inversion of EM and electrical resistivity tomography (ERT) data. Our results demonstrate that model structure constraints are necessary to stabilize the MCMC inversion results of a highly discretized model. These constraints decrease model parameter uncertainty and facilitate model interpretation. A drawback is that these constraints may lead to posterior distributions that do not fully include the true underlying model, because some of its features exhibit a low sensitivity to the EM data, and hence are difficult to resolve. This problem can be partly mitigated if the plane-wave EM data is augmented with ERT observations. The hierarchical Bayesian inverse formulation introduced and used herein is able to successfully recover the probabilistic properties of the measurement data errors and a model regularization weight. Application of the proposed inversion methodology to field data from an aquifer demonstrates that the posterior mean model realization is very similar to that derived from a deterministic inversion with similar model constraints.