Promoting entrepreneurial potential in adolescents: A pilot study based on intergenerational contact

Recently there has been an increasing interest in promoting entrepreneurship among undergraduates, however, there have been few studies focusing on adolescents. The two aims of this research were to demonstrate the reliability and validity of the Attitudes to Entrepreneurship (ATE) test with a sample of Spanish adolescents, and to study the effect of using an intervention based on intergenerational contact on the entrepreneurial potential of young people. Two studies were carried out with these objectives. The results from Study 1 confirmed the reliability of the ATE test; entrepreneurial potential was related to achievement motivation and affected by gender. In Study 2, we used an experimental and control groups design and pre and post-test measures. In the classroom context, older adults were interviewed by students about their life and work experiences. Entrepreneurship was increased by the intergenerational contact in the experimental group, specifically, in the Leadership, Creativity and Achievement factors, in boys. Achievement motivation in the academic context also was increased. The intergenerational contact based on emotional implications and active participation promotes latent entrepreneurship and academic interest

Upper and lower spinal cord blood supply : the continuity of the anterior spinal artery and the relevance of the lumbar arteries

Objective: Thoracic and thoracoabdominal aortic repair are still complicated by spinal cord ischemia and paraplegia. The aim of the present article is to present the results of an anatomical study conducted by means of both postmortem injection of the vertebral artery and perfusion of the abdominal aorta. Methods: The spinal cord blood supply was investigated in 51 Caucasian cadavers: in 40 cases a methylene blue solution was hand-injected into the vertebral artery, whereas in the remaining 11 cases the abdominal aorta was perfused with a methylene blue solution by means of a roller pump. The level and side of the arteria radicularis magna and the continuity of the anterior spinal artery were recorded. Results: The anterior spinal artery was a continuous vessel without interruptions along the spinal cord in all 51 cases. The arteria radicularis magna level was variable, ranging from T9 to L5. The arteria radicularis magna arose from a lumbar artery in 36 cases (70.5%) and it was left-sided in 32 cases (62.7%). Conclusions: The anterior spinal artery constitutes an uninterrupted pathway between the vertebral arteries, the arteria radicularis magna, and the posterior intercostal and lumbar arteries. Moreover, the arteria radicularis magna arises from a lumbar artery in most of cases. Therefore, the sacrifice of the intercostal arteries during a thoracic aorta repair could be justified, at least from an anatomical standpoint. However, if an extended thoracoabdominal aortic repair is planned, it may be prudent to preserve the blood flow from the lumbar arteries

Profiling the Effects of Systemic Antibiotics for Acne, Including the Narrow-Spectrum Antibiotic Sarecycline, on the Human Gut Microbiota

Treatment for moderate-to-severe acne vulgaris relies on prolonged use of oral tetracycline-class antibiotics; however, these broad-spectrum antibiotics are often associated with off-target effects and negative gastrointestinal sequelae. Sarecycline is a narrow-spectrum antibiotic treatment option. Here, we investigated the effect of prolonged sarecycline exposure, compared with broad-spectrum tetracyclines (doxycycline and minocycline) upon the colonic microbiota. Three in vitro models of the human colon were instilled with either minocycline, doxycycline or sarecycline, and we measured microbiota abundance and diversity changes during and after antibiotic exposure. Significant reductions in microbial diversity were observed following minocycline and doxycycline exposure, which failed to recover post antibiotic withdrawal. Specifically, minocycline caused a ~10% decline in Lactobacillaceae and Bifidobacteriaceae abundances, while doxycycline caused a ~7% decline in Lactobacillaceae and Bacteroidaceae abundances. Both minocycline and doxycycline were associated with a large expansion (>10%) of Enterobacteriaceae. Sarecycline caused a slight decline in bacterial diversity at the start of treatment, but abundances of most families remained stable during treatment. Ruminococcaceae and Desulfovibrionaceae decreased 9% and 4%, respectively, and a transient increased in Enterobacteriaceae abundance was observed during sarecycline administration. All populations recovered to pre-antibiotic levels after sarecycline exposure. Overall, sarecycline had minimal and transient impact on the gut microbiota composition and diversity, when compared to minocycline and doxycycline

Pricing Python Parallelism: A Dynamic Language Cost Model for Heterogeneous Platforms

Execution times may be reduced by offloading parallel loop nests to a GPU. Auto-parallelizing compilers are common for static languages, often using a cost model to determine when the GPU execution speed will outweigh the offload overheads. Nowadays scientific software is increasingly written in dynamic languages and would benefit from compute accelerators. The ALPyNA framework analyses moderately complex Python loop nests and automatically JIT compiles code for heterogeneous CPU and GPU architectures. We present the first analytical cost model for auto-parallelizing loop nests in a dynamic language on heterogeneous architectures. Predicting execution time in a language like Python is extremely challenging, since aspects like the element types, size of the iteration space, and amenability to parallelization can only be determined at runtime. Hence the cost model must be both staged, to combine compile and run-time information, and lightweight to minimize runtime overhead. GPU execution time prediction must account for factors like data transfer, block-structured execution, and starvation. We show that a comparatively simple, staged analytical model can accurately determine during execution when it is profitable to offload a loop nest. We evaluate our model on three heterogeneous platforms across 360 experiments with 12 loop-intensive Python benchmark programs. The results show small misprediction intervals and a mean slowdown of just 13.6%, relative to the optimal (oracular) offload strategy

Large scale stochastic inventory routing problems with split delivery and service level constraints

A stochastic inventory routing problem (SIRP) is typically the combination of stochastic inventory control problems and NP-hard vehicle routing problems, which determines delivery volumes to the customers that the depot serves in each period, and vehicle routes to deliver the volumes. This paper aims to solve a large scale multi-period SIRP with split delivery (SIRPSD) where a customer’s delivery in each period can be split and satisfied by multiple vehicle routes if necessary. This paper considers SIRPSD under the multi-criteria of the total inventory and transportation costs, and the service levels of customers. The total inventory and transportation cost is considered as the objective of the problem to minimize, while the service levels of the warehouses and the customers are satisfied by some imposed constraints and can be adjusted according to practical requests. In order to tackle the SIRPSD with notorious computational complexity, we first propose an approximate model, which significantly reduces the number of decision variables compared to its corresponding exact model. We then develop a hybrid approach that combines the linearization of nonlinear constraints, the decomposition of the model into sub-models with Lagrangian relaxation, and a partial linearization approach for a sub model. A near optimal solution of the model found by the approach is used to construct a near optimal solution of the SIRPSD. Randomly generated instances of the problem with up to 200 customers and 5 periods and about 400 thousands decision variables where half of them are integer are examined by numerical experiments. Our approach can obtain high quality near optimal solutions within a reasonable amount of computation time on an ordinary PC

Why Reform Fails : The ‘Politics of Policies’ in Costa Rican Telecommunications Liberalization

As the \u27Washington Consensus\u27 reforms are losing momentum in Latin America, the Inter- American Development Bank (IDB) is calling for shifting the focus from the content of policy choices to the political process of their implementation. As this paper studies the paradigmatic case of telecommunications reform in Costa Rica it underscores the importance of these \u27politics of policies\u27. The analysis finds, however, that the failure of repeated liberalization initiatives was not only due to policy-makers\u27 errors in steering the project through \u27the messy world of politics\u27 (IDB); instead, as liberalization remained unpopular, policy content indeed mattered, and only the interaction of both explains the outcome. Particular attention is drawn to the political feed-back effects, as the failed reform, precisely because it had been backed by bi-partisan support, became a catalyst for the disintegration of the country\u27s long-standing two-party system.In dem Maße, in dem die mit dem „Washington Consensus“ verbundenen Reformen in Lateinamerika ins Stocken geraten sind, plädiert die Inter-American Development Bank (IDB) für eine stärkere Berücksichtigung nicht nur der Politikinhalte (policies), sondern auch des politischen Prozesses von deren Umsetzung (politics). Die vorliegende Untersuchung zum paradigmatischen Fall der Reform des Telekommunikationssektors in Costa Rica unterstreicht die Bedeutung dieser „politics of policies“. Sie zeigt allerdings auch, dass Ursache für das Scheiten wiederholter Liberalisierungsinitiativen nicht nur Fehler der Politiker sind, das Vorhaben durch „die unordentliche Welt der politics“ (IDB) zu steuern. Die breite gesellschaftliche Opposition gegen den Liberalisierungskurs bleibt. Nur die Interaktion von beiden, politics und policies, erklärt Verlauf und Ergebnis der Reform. Besonderes Augenmerk widmet die Studie den politischen Rückwirkungen der gescheiterten Reform: Sie wurde, just weil sie von beiden etablierten Parteien unterstützt wurde, zum Katalysator für den Zerfall des seit Jahrzehnten etablierten Zweiparteiensystems des Landes

Lagrangian relaxation bounds for a production-inventory-routing problem

We consider a single item Production-Inventory-Routing problem with a single producer/supplier and multiple retailers. Inventory management constraints are considered both at the producer and at the retailers, following a vendor managed inventory approach, where the supplier monitors the inventory at retailers and decides on the replenishment policy for each retailer. We assume a constant production capacity. Based on the mathematical formulation we discuss a classical Lagrangian relaxation which allows to decompose the problem into four subproblems, and a new Lagrangian decomposition which decomposes the problem into just a production-inventory subproblem and a routing subproblem. The new decomposition is enhanced with valid inequalities. A computational study is reported to compare the bounds from the two approaches