PUBLIC-PRIVATE PARTNERSHIP FOR RESPONSIVE EXTENSION EDUCATION: THE CASE OF SAFE AND UCC IN GHANA

Developing nations in Africa are not shielded from the pressures of a globalized competitive agricultural marketplace. With an appreciable bulk of her people deriving livelihoods from diverse agricultural enterprises, these nations must respond to important contemporary issues shaping global agriculture. Farmers from such nations, including Ghana, will be able to improve their participation in the competitive local, regional and global agricultural marketplace if the appropriate agricultural technologies and extension information support are available. To achieve this, a new breed of agricultural extension graduates who can respond to current and emerging challenges in agriculture and interface effectively with farmers must be produced through responsive extension education and training. While extension education can produce effective extensionists to hasten agricultural development, budgetary constraints make it difficult for most African governments to successfully and sustainably implement such educational programs. However, public-private partnership (PPP) initiatives offer a way out of this financial dilemma. Beginning in 1993, the Sasakawa Africa Fund for Extension Education (SAFE) worked with the University of Cape Coast (UCC) in Ghana to develop an innovative extension education program through a public private partnership. The program, comprising a BSc. and Diploma components, was designed to respond to the myriad of challenges facing higher agricultural extension education in Ghana. A key practical feature of the curricula is the “Supervised Enterprise Projects” (SEPS), which enable students to work with relevant stakeholders to identify and tackle agricultural problems in farming communities through experiential extension approaches and action research. The SAFE-UCC initiative fulfils important education goals such as: expanding and improving access; ensuring quality and relevance; ensuring funding and mobilizing resources for sustainability; building partnerships and linkages; and promoting international co-operation. The paper discusses the underlying conditions for a successful public private partnership in agricultural and extension education and sheds light on the impacts, lessons learned and challenges.

Emerging pathogens in the central nervous system: a cerebral abscess by Streptococcus porcinus

Brain abscesses can cause an incapacitating neurological deicit in up to 50% of patients, thus the reduction of these sequelae becomes the main goal of its timely and speciic surgical and medical treatment. With technological advances in bacteriological identiication and diagnostic imaging, the clinical suspicion can be conirmed, and the speciic etiological agent can be identiied in a larger number of cases. New pathogens have emerged through this process, such as Streptococcus porcinus, in which the ability to affect the central nervous system has not been documented. A clinical case is presented of a brain abscess in an immunocompetent patient, and its favorable response to surgical drainage t hrough a skull burr h ole and nee dle aspiration with antibiotic therapy (ceftriaxone, metronidazole and vancomycin) is discussed.

Challenges in imaging and predictive modeling of rhizosphere processes

Background Plant-soil interaction is central to human food production and ecosystem function. Thus, it is essential to not only understand, but also to develop predictive mathematical models which can be used to assess how climate and soil management practices will affect these interactions. Scope In this paper we review the current developments in structural and chemical imaging of rhizosphere processes within the context of multiscale mathematical image based modeling. We outline areas that need more research and areas which would benefit from more detailed understanding. Conclusions We conclude that the combination of structural and chemical imaging with modeling is an incredibly powerful tool which is fundamental for understanding how plant roots interact with soil. We emphasize the need for more researchers to be attracted to this area that is so fertile for future discoveries. Finally, model building must go hand in hand with experiments. In particular, there is a real need to integrate rhizosphere structural and chemical imaging with modeling for better understanding of the rhizosphere processes leading to models which explicitly account for pore scale processes.

Reforestation challenges in Scandinavia

In the keynote, major reforestation challenges in Scandinavia will be highlighted. The following countries make up Scandinavia: Iceland, Norway, Sweden, Finland and Denmark. For Iceland, with only a forest cover of 2%, a major reforestation challenge is the deforestation and overgrazing in combination with land degradation and extensive soil erosion. The challenges include the conflicts with livestock farmers. For centuries the commons were used for sheep and horse grazing. However, more and more of farmer grazing land have been fenced up, allowing the regeneration of birch and plantations of other species to increase. With a forest cover of 37% and 69% respectively, for decades a major reforestation challenge in Norway and Sweden has been the risk of seedling damages from the pine weevil. Unprotected seedlings can have a survival rate of less than 25% after being planted. Pine weevils feed on the bark of planted young seedlings at regeneration sites. If the seedling is girdled, it will not survive. In Sweden, and soon in Norway, pesticides have been forbidden. In the keynote, new methods and technology will be presented based on non-chemical protection. In Finland, with a forest cover of 75%, a major reforestation challenge is linked to the forest structure. The structure of Finnish forestry includes many private forests in combination with small regeneration sites. This implies a situation where logistics and methods for lifting and field storage provide a major challenge in order to preserve seedling quality until the planting date. Due to this situation, new logistic systems and technologies are being developed in Finland, including new seedling cultivation programs (including cultivation under Light Emitting Diodes (LEDs)) to match the access of fresh planting stock to different planting dates. In Denmark, with a forest cover of 13%, a major reforestation challenge is the possibility of future plantations based on a wide range of relevant species. For this to become a realistic option, new methods and technology have to be developed in reforestation activities that support this possibility. These methods and technology should make it possible to not be limited to certain species due to problems and restrictions during field establishment. This due to the prospect of establishing stable, healthy, and productive stands of various forest species that can be adapted to future climate change.

Emerging Concepts in Ontogenic Analysis

Subject ontogeny is the life of the subject in an indexing language (e.g., classification scheme like the DDC). Examining how a subject is treated over time tells us about the anatomy of an indexing language. For example, gypsies as a subject has been handled differently in different editions of the DDC.

Challenges in the rabbit haemorrhagic disease 2 (RHDV2) molecular diagnosis of vaccinated rabbits

Molecular methods are fundamental tools for the diagnosis of viral infections. While interpretation of results is straightforward for unvaccinated animals, where positivity represents ongoing or past infections, the presence of vaccine virus in the tissues of recently vaccinated animals may mislead diagnosis. In this study, we investigated the interference of RHDV2 vaccination in the results of a RT-qPCR for RHDV2 detection, and possible associations between mean Cq values of five animal groups differing in age, vaccination status and origin (domestic/wild). Viral sequences from vaccinated rabbits that died of RHDV2 infection (n = 14) were compared with the sequences from the commercial vaccines used in those animals. Group Cq means were compared through Independent t-test and One-way ANOVA. We proved that RHDV2 vaccine-RNA is not detected by the RT-qPCR as early as 15 days post- vaccination, an important fact in assisting results interpretation for diagnosis. Cq values of vaccinated and non-vaccinated infected domestic adults showed a statistically significant difference (p < 0.05), demonstrating that vaccination-induced immunity reduces viral loads and delays disease progression. Contrarily, in vaccinated young rabbits higher viral loads were registered compared to non-vaccinated kittens. No significant variation (p = 0.3824) was observed between viral loads of non- vaccinated domestic and wild RHDV2-victimised rabbits. Although the reduced number of vaccinated young animals analysed hampered a robust statistical analysis, this occurrence suggests that passively acquired maternal antibodies may inhibit the active immune response to vaccination, delaying protection and favouring disease progression. Our finding emphasises the importance of adapting kitten RHDV2 vaccination schedules to circumvent this interference phenomenon.

Interoperability Challenges in Internet of Things Systems: a Service-Oriented Computing Approach

Internet of Things systems are pervasive systems evolved from cyber-physical to large-scale systems. Due to the number of technologies involved, software development involves several integration challenges. Among them, the ones preventing proper integration are those related to the system heterogeneity, and thus addressing interoperability issues. From a software engineering perspective, developers mostly experience the lack of interoperability in the two phases of software development: programming and deployment. On the one hand, modern software tends to be distributed in several components, each adopting its most-appropriate technology stack, pushing programmers to code in a protocol- and data-agnostic way. On the other hand, each software component should run in the most appropriate execution environment and, as a result, system architects strive to automate the deployment in distributed infrastructures. This dissertation aims to improve the development process by introducing proper tools to handle certain aspects of the system heterogeneity. Our effort focuses on three of these aspects and, for each one of those, we propose a tool addressing the underlying challenge. The first tool aims to handle heterogeneity at the transport and application protocol level, the second to manage different data formats, while the third to obtain optimal deployment. To realize the tools, we adopted a linguistic approach, i.e.\ we provided specific linguistic abstractions that help developers to increase the expressive power of the programming language they use, writing better solutions in more straightforward ways. To validate the approach, we implemented use cases to show that the tools can be used in practice and that they help to achieve the expected level of interoperability. In conclusion, to move a step towards the realization of an integrated Internet of Things ecosystem, we target programmers and architects and propose them to use the presented tools to ease the software development process.

Contaminants of emerging concern in drinking water: assessment of the effectiveness of removal by drinking water treatments and possible risks to human health

Contaminants of emerging concern are increasingly detected in the water cycle, with endocrine-disrupting chemicals (EDCs) receiving attention due to their potential to cause adverse health effects even at low concentrations. Although the EU has recently introduced some EDCs into drinking water legislation, most drinking water treatment plants (DWTPs) are not designed to remove EDCs, making their detection and removal in DWTPs an important challenge. The aim of this doctoral project was to investigate hormones and phenolic compounds as suspected EDCs in drinking waters across the Romagna area (Italy). The main objectives were to assess the occurrence of considered contaminants in source and drinking water from three DWTPs, characterize the effectiveness of removal by different water treatment processes, and evaluate the potential biological impact on drinking water and human health. Specifically, a complementary approach of target chemical analysis and effect-based methods was adopted to explore drinking water quality, treatment efficacy, and biological potential. This study found that nonylphenol (NP) was prevalent in all samples, followed by BPA. Sporadic contamination of hormones was found only in source waters. Although the measured EDC concentrations in drinking water did not exceed threshold guideline values, the potential role of DWTPs as an additional source of EDC contamination should be considered. Significant increases in BPA and NP levels were observed during water treatment steps, which were also reflected in estrogenic and mutagenic responses in water samples after the ultrafiltration. This highlights the need to monitor water quality during various treatment processes to improve the efficiency of DWTPs. Biological assessments on finished water did not reveal any bioactivity, except for few treated water samples that exhibited estrogenic responses. Overall, the data emphasize the high quality of produced drinking water and the value of applying integrated chemical analysis and in vitro bioassays for water quality assessment.

Addressing challenges in heterogeneous embedded systems programming: security and performance

Embedded systems are increasingly integral to daily life, improving and facilitating the efficiency of modern Cyber-Physical Systems which provide access to sensor data, and actuators. As modern architectures become increasingly complex and heterogeneous, their optimization becomes a challenging task. Additionally, ensuring platform security is important to avoid harm to individuals and assets. This study primarily addresses challenges in contemporary Embedded Systems, focusing on platform optimization and security enforcement. The initial section of this study delves into the application of machine learning methods to efficiently determine the optimal number of cores for a parallel RISC-V cluster to minimize energy consumption using static source code analysis. Results demonstrate that automated platform configuration is not only viable but also that there is a moderate performance trade-off when relying solely on static features. The second part focuses on addressing the problem of heterogeneous device mapping, which involves assigning tasks to the most suitable computational device in a heterogeneous platform for optimal runtime. The contribution of this section lies in the introduction of novel pre-processing techniques, along with a training framework called Siamese Networks, that enhances the classification performance of DeepLLVM, an advanced approach for task mapping. Importantly, these proposed approaches are independent from the specific deep-learning model used. Finally, this research work focuses on addressing issues concerning the binary exploitation of software running in modern Embedded Systems. It proposes an architecture to implement Control-Flow Integrity in embedded platforms with a Root-of-Trust, aiming to enhance security guarantees with limited hardware modifications. The approach involves enhancing the architecture of a modern RISC-V platform for autonomous vehicles by implementing a side-channel communication mechanism that relays control-flow changes executed by the process running on the host core to the Root-of-Trust. This approach has limited impact on performance and it is effective in enhancing the security of embedded platforms.

O Voluntariado enquanto promotor do empreendedorismo social: o caso da Associação Humanitária dos Bombeiros Voluntários de Mangualde

Dissertação de Mestrado apresentada ao Instituto Superior de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Empreendedorismo e Internacionalização, sob orientação de Doutora Deolinda Meira e Mestre Paula Alferes

Targeting Angiogenesis in Glioma - Challenges and Pitfalls

Malignant gliomas, notably glioblastoma are among the most vascularized and angiogenic cancers, and microvascular proliferation is one of the hallmarks for the diagnosis of glioblastoma. Angiogenesis is regulated by a balance of pro- and antiangiogenic signals; overexpression of VEGF and activation of its receptors, most notable VEGFR-2 and -3, results in endothelial cell proliferation and leaky vasculature. Heterogeneous perfusion and oxygenation, peritumoral edema and increased interstitial pressure are the consequence. Both endothelial and tumour cells are strongly dependent on integrin-mediated adhesion for cell proliferation, survival, migration and invasion.Strategies aiming at inhibition of cell signaling and angiogenesis, including integrin inhibitors, have been clinically investigated in gliomas over the last 5 years. Radiological responses, a decreased requirement of corticosteroids and temporary improvement in performance status have repeatedly been observed. Toxicity was mild-moderate and manageable, notably there was no evidence for a substantially increased incidence of intracranial bleeding. However definitive comparative (randomized !) investigation has failed to demonstrate improved outcome with singleagent inhibition of EGFR, or PDGFR or VEGF/VEGFRs pathways in recurrent glioblastoma. Definitive phase III trials combining the anti- VEGF monoclonal antibody bevacizumab, or cilengitide, a peptidic integrininhibitor, together with temozolomide and radiotherapy are ongoing (accrual completed).The integration of anti-angiogenic strategies in the management of malignant glioma also poses entirely new challenges in patient management: 1) Many agents are known for increasing the risk of thrombosis, embolism and intracranial bleeding. 2) Evaluation of treatment efficacy is difficult and new biomarkers of activity, including functional, metabolic or molecular imaging techniques are urgently needed. Normalization of vasculature leads to decrease in contrast enhancement without necessarily reflecting tumour shrinkage. Tumour heterogeneity, putative prognostic or predictive factors require early controlled trials, novel trial designs and endpoints.3) Activation of alternate pathways and tumour escape mechanisms may require combination of multiple agents, which is often not feasible due to regulatory restrictions and potential complex toxicities. Emerging clinical and experimental evidence suggests that anti-angiogenic drugs might need to be combined with drugs targeting tumour adaptive mechanisms in addition to cytotoxic chemotherapy and irradiation for a maximal antitumour effect.

Plant polyamines in stress and development: an emerging area of research in plant sciences.

Compelling evidence indicates the participation of polyamines in abiotic and biotic stress responses in plants. Indeed, genetic engineering of polyamine levels in plants has successfully improved biotic and abiotic stress resistance in model plants and crops. We anticipate that many of the current challenges in agriculture to cope with climate change and maintain nutritional quality of fruits and vegetables can be approached by considering the polyamine pathway...

Challenges for Finnish companies in doing business in Russia

The purpose of this study was to define the key challenges for Finnish companies in doing business in Russia. The study consists of a theoretical and an empirical part and is conducted as a quantitative study. The theoretical framework was build around capital structure, cost of capital and emerging market theories. The findings suggest that the firms in the sample seek growth mainly from emerging markets. These research results also indicate that challenges are visible in emerging market environment. Challenges that companies are facing in Russian market are mainly connected with legislation, communication and language problems. In addition, companies’ profitability has changed during the financial crisis, which has been the main reason for the negative changes in companies’ profitability. Even though the financial crisis has had a strong effect on the worldwide economy, the firms in the sample are not postponing their investments to Russia, because of lack of new financing or unfavorable credit terms.

Internationalization of small and medium-sized enterprises and impact of institutions on international entrepreneurship in emerging economies: the case of Russia

The doctoral study presents a comprehensive analysis of the impact of the institutional environment on the internationalization-based growth strategic choices of small and mediumsized enterprises (SMEs) in emerging economies. In responding to the calls for more research on institutions and international entrepreneurship, this dissertation extends the linkages between the two to the context of emerging economies. The study presents a comprehensive analysis of institutional challenges and their impact on the internationalization of SMEs in emerging economies, particularly in Russia. The research contributes to the adoption of the institution-based view in international entrepreneurship. The dissertation is presented through five research papers. Based on primary and secondary data, the study categorizes the possible sources of institutional influences on internationalization and empirically tests their impact by applying a method triangulation research design. The result of the conducted research is a proposed theoretical model of the institutional impact on the internationalization of SMEs in emerging economies. The model is specifically focused on the growth stage of the entrepreneurial process and considers only its internationalization facet. The research identifies and provides empirical support for the existence of a positive influence of a transparent and supportive regulatory environment, an institutionalized pool of general business knowledge, and collectivistic value orientation on the proclivity of SMEs to internationalize. A level of appreciation of entrepreneurial initiatives in home country and a greater positive institutional gap provide a positive impact on the international performance of SMEs. The research provides contextualized knowledge of the institutional impact on the internationalization of SMEs in Russia. The obtained results present theoretical value in terms of showing how the environmental conditions effect the entrepreneurial internationalization-based growth in emerging economies, providing the methodological insights into the measurement of the institutional effects, and empirically contextualizing the linkage between institutions and internationalization in the Russian business environment. The research also provides value for the business and policy making stakeholders by identifying ways of utilizing the conditions in the external institutional environment.