Transcriptome-Wide Mapping of Pea Seed Ageing Reveals a Pivotal Role for Genes Related to Oxidative Stress and Programmed Cell Death

Understanding of seed ageing, which leads to viability loss during storage, is vital for ex situ plant conservation and agriculture alike. Yet the potential for regulation at the transcriptional level has not been fully investigated. Here, we studied the relationship between seed viability, gene expression and glutathione redox status during artificial ageing of pea (Pisum sativum) seeds. Transcriptome-wide analysis using microarrays was complemented with qRT-PCR analysis of selected genes and a multilevel analysis of the antioxidant glutathione. Partial degradation of DNA and RNA occurred from the onset of artificial ageing at 60% RH and 50 degrees C, and transcriptome profiling showed that the expression of genes associated with programmed cell death, oxidative stress and protein ubiquitination were altered prior to any sign of viability loss. After 25 days of ageing viability started to decline in conjunction with progressively oxidising cellular conditions, as indicated by a shift of the glutathione redox state towards more positive values (>-190 mV). The unravelling of the molecular basis of seed ageing revealed that transcriptome reprogramming is a key component of the ageing process, which influences the progression of programmed cell death and decline in antioxidant capacity that ultimately lead to seed viability loss.

People and their past : is 'community archaeology’ the future?

This thesis looks at how ‘community archaeology’ ideals may influence an inclusive approach to Indigenous heritage management, ensuring Indigenous community power over processes to identify both past and present values of Country. Community archaeology was acclaimed by research archaeologists over a decade ago as a distinctive approach with its own set of practices to incorporate the local community’s perspectives of its past and current associations with place. A core feature of this approach in Australia is the major role the Indigenous community has in decisions about its heritage. Concurrently, considerable concern was being expressed that Indigenous heritage was not sufficiently addressed in environmental impact assessment processes ahead of development. Seen as absent from the process was the inclusion of Indigenous knowledge about both the pre- and post-contact story as well as any scientific advance in understanding an area’s Indigenous history. This research examines these contrasting perspectives seeking to understand the ideals of community archaeology and its potential to value all aspects of Indigenous heritage and so benefit the relevant community. The ideals of community archaeology build on past community collaborations in Australia and also respond to more recent societal recognition of Indigenous rights, reflected in more ethically inclusive planning and heritage statutes. Indigenous communities expressed the view that current systems are still not meeting these policy commitments to give them control over their heritage. This research has examined the on-the-ground reality of heritage work on the outskirts of Canberra and Melbourne. The case studies compare Victorian and ACT heritage management processes across community partnerships with public land managers, and examine how pre-development surveys operate. I conclude that considerable potential for achieving community archaeology ideals exists, and that they are occasionally partially realised, however barriers continue. In essence, the archaeological model persists despite a community archaeology approach requiring a wider set of skills to ensure a comprehensive engagement with an Indigenous community. Other obstacles in the current Indigenous heritage management system include a lack of knowledge and communication about national standards for heritage processes in government agencies and heritage consultants; the administrative framework that can result in inertia or silos between relevant agencies; and funding timeframes that limit possibilities for long-term strategic programs for early identification and management planning for Indigenous heritage. Also, Indigenous communities have varying levels of authority to speak for how their heritage should be managed, yet may not have the resources to do so. This thesis suggests ways to breach these barriers to achieve more inclusive Indigenous heritage management based on community archaeology principles. Policies for a greater acknowledgement of the Indigenous community’s authority to speak for Country; processes that enable and early and comprehensive ‘mapping’ of Country, and long-term resourcing of communities, may have been promised before. In this research I suggest ways to realise such goals.

Marketing in SMEs: the sales process of SMEs on the food and drink industry.

There would appear to be varied approaches to the sales process practiced by SMEs in how they go about locating target customers, interfacing with prospects and new customers, presenting the benefits and features of their products and services, closing sales deals and building relationships, and an understanding of what the buyers needs are in the seller-buyer process. Recent research has revealed that while entrepreneurs and small business owners rely upon networking as an important source of sales, they lack marketing competencies, including personal selling skills and knowledge of what is involved in the sales process to close sales deals and build relationships. Small companies and start-ups with innovative products and services often find it difficult to persuade potential buyers of the merits of their offerings because, while the products and services may be excellent, they have not sufficiently well-developed selling skills necessary to persuade their target customers.

CONCURRENT LOCALIZATION AND MAPPING WITH SONAR SENSORS AND CONSIDERATION OF VEHICLE MOTION

Simultaneous Localization and Mapping (SLAM) is a procedure used to determine the location of a mobile vehicle in an unknown environment, while constructing a map of the unknown environment at the same time. Mobile platforms, which make use of SLAM algorithms, have industrial applications in autonomous maintenance, such as the inspection of flaws and defects in oil pipelines and storage tanks. A typical SLAM consists of four main components, namely, experimental setup (data gathering), vehicle pose estimation, feature extraction, and filtering. Feature extraction is the process of realizing significant features from the unknown environment such as corners, edges, walls, and interior features. In this work, an original feature extraction algorithm specific to distance measurements obtained through SONAR sensor data is presented. This algorithm has been constructed by combining the SONAR Salient Feature Extraction Algorithm and the Triangulation Hough Based Fusion with point-in-polygon detection. The reconstructed maps obtained through simulations and experimental data with the fusion algorithm are compared to the maps obtained with existing feature extraction algorithms. Based on the results obtained, it is suggested that the proposed algorithm can be employed as an option for data obtained from SONAR sensors in environment, where other forms of sensing are not viable. The algorithm fusion for feature extraction requires the vehicle pose estimation as an input, which is obtained from a vehicle pose estimation model. For the vehicle pose estimation, the author uses sensor integration to estimate the pose of the mobile vehicle. Different combinations of these sensors are studied (e.g., encoder, gyroscope, or encoder and gyroscope). The different sensor fusion techniques for the pose estimation are experimentally studied and compared. The vehicle pose estimation model, which produces the least amount of error, is used to generate inputs for the feature extraction algorithm fusion. In the experimental studies, two different environmental configurations are used, one without interior features and another one with two interior features. Numerical and experimental findings are discussed. Finally, the SLAM algorithm is implemented along with the algorithms for feature extraction and vehicle pose estimation. Three different cases are experimentally studied, with the floor of the environment intentionally altered to induce slipping. Results obtained for implementations with and without SLAM are compared and discussed. The present work represents a step towards the realization of autonomous inspection platforms for performing concurrent localization and mapping in harsh environments.

Seeing Turkish state formation processes: Mapping language and education census data

Language provides an interesting lens to look at state-building processes because of its cross-cutting nature. For example, in addition to its symbolic value and appeal, a national language has other roles in the process, including: (a) becoming the primary medium of communication which permits the nation to function efficiently in its political and economic life, (b) promoting social cohesion, allowing the nation to develop a common culture, and (c) forming a primordial basis for self-determination. Moreover, because of its cross-cutting nature, language interventions are rarely isolated activities. Languages are adopted by speakers, taking root in and spreading between communities because they are legitimated by legislation, and then reproduced through institutions like the education and military systems. Pádraig Ó’ Riagáin (1997) makes a case for this observing that “Language policy is formulated, implemented, and accomplishes its results within a complex interrelated set of economic, social, and political processes which include, inter alia, the operation of other non-language state policies” (p. 45). In the Turkish case, its foundational role in the formation of the Turkish nation-state but its linkages to human rights issues raises interesting issues about how socio-cultural practices become reproduced through institutional infrastructure formation. This dissertation is a country-level case study looking at Turkey’s nation-state building process through the lens of its language and education policy development processes with a focus on the early years of the Republic between 1927 and 1970. This project examines how different groups self-identified or were self-identified (as the case may be) in official Turkish statistical publications (e.g., the Turkish annual statistical yearbooks and the population censuses) during that time period when language and ethnicity data was made publicly available. The overarching questions this dissertation explores include: 1.What were the geo-political conditions surrounding the development and influencing the Turkish government’s language and education policies? 2.Are there any observable patterns in the geo-spatial distribution of language, literacy, and education participation rates over time? In what ways, are these traditionally linked variables (language, literacy, education participation) problematic? 3.What do changes in population identifiers, e.g., language and ethnicity, suggest about the government’s approach towards nation-state building through the construction of a civic Turkish identity and institution building? Archival secondary source data was digitized, aggregated by categories relevant to this project at national and provincial levels and over the course of time (primarily between 1927 and 2000). The data was then re-aggregated into values that could be longitudinally compared and then layered on aspatial administrative maps. This dissertation contributes to existing body of social policy literature by taking an interdisciplinary approach in looking at the larger socio-economic contexts in which language and education policies are produced.

Mapping the uncharted territory of folk drama

Students of mumming and guising plays – the seasonal verse dramas performed for over 200 years throughout much of England, Scotland, and northern Ireland – have suffered from having too much information to work with. The first part of this poster presentation outlines and illustrates the situation. There are thousands of places where the plays are known to have been performed, and hundreds of texts have been collected. Furthermore, the plays show some tantalising similarities while simultaneously exhibiting the wide range of variation one would expect from orally transmitted dialogue. Until recently, scholars openly admitted to not knowing where to start with such a flood of material, to the extent that some dismissed the texts altogether as unimportant and irrelevant, focussing instead on the "actions". Fortunately, the introduction of computers has managed to break the impasse and is aiding the intellectual process. Part two shows a case study for one of the tools on the Master Mummers website - the Folk Play Scripts Explorer – which is based on a large database of digitised texts and a typology for individual lines. This allows researchers to search for lines, explore textual variants, and map their geographical distribution. This is yielding some interesting surprises. Seemingly trivial variations often turn out to have discrete distribution patterns, while it transpires that certain "ubiquitous" lines have restricted geographical ranges. Thus, the Scripts Explorer is providing novel insights into how the plays evolved and spread.

Digital storytelling: promoting writing literacy skills at an A2 level

El propósito de este proyecto de graduación es dar a conocer cómo la influencia de la tecnología hoy en día puede llegar a ser una herramienta útil a la hora de aprender una lengua extranjera, como lo es en éste caso el Inglés. Mediante la herramienta llamada Storybird los estudiantes tienen la capacidad de crear, imaginar y escribir historias que les ayuda a mejorar su destreza enfocado a la escritura. Para esto se analiza tres estudios de caso, los mismos que utilizan como herramienta principal Storybird. Dichos estudios son realizados en diferentes lugares del mundo, y a la vez dirigidos a estudiantes con diferente tipo de destrezas. El propósito de estos estudios es mejorar su escritura por medio de narraciones digitales, conocidos en el ámbito extranjero como Digital Storytelling, dando asíuna alternativa diferente de enseñanza para los estudiantes. Por último, se desarrolla una Guía de Aprendizaje dirigido a docentes, con el propósito de facilitar y brindar nuevos instrumentos de aprendizaje, con el uso de Storybird, para estudiantes que desempeñan un nivel A2 dentro del Marco de Referencia Europeo para las Lenguas.

Developing and Improving EFL Writing Skills

Learning a foreign language is a process that entails the development of four basic skills: Listening, Speaking, Reading, and Writing. According to the Common European Framework, such skills can be grouped into productive and receptive. Reading and Listening are categorized as receptive skills, while speaking and writing are productive skills. Students’ and teachers’ experience along with research findings suggest that most learners of English as a foreign language (EFL) find productive skills more difficult to develop than receptive skill, and writing skills the hardest to acquire and improve. Learning to write is a complex process that calls for a wide range of cognitive and linguistic strategies to be used, most of which EFL students are not fully aware of. The purpose of this talk is to help EFL college majors become aware of the factors that make EFL discourse sound stilted and foreign. Good writing results from rational thinking, logical organization, and appropriate use of language. Sample texts will be looked at identify the strengths and weaknesses in each case.

Evaluation of the quality of the teaching-learning process in undergraduate courses in Nursing

Objective: to identify aspects of improvement of the quality of the teaching-learning process through the analysis of tools that evaluated the acquisition of skills by undergraduate students of Nursing. Method: prospective longitudinal study conducted in a population of 60 second-year Nursing students based on registration data, from which quality indicators that evaluate the acquisition of skills were obtained, with descriptive and inferential analysis. Results: nine items were identified and nine learning activities included in the assessment tools that did not reach the established quality indicators (p<0.05). There are statistically significant differences depending on the hospital and clinical practices unit (p<0.05). Conclusion: the analysis of the evaluation tools used in the article "Nursing Care in Welfare Processes" of the analyzed university undergraduate course enabled the detection of the areas for improvement in the teaching-learning process. The challenge of education in nursing is to reach the best clinical research and educational results, in order to provide improvements to the quality of education and health care.

Teaching / learning process through the case method in the law degree

This project in teaching innovation and improvement aims to disseminate the case method as one of the most innovative educational instruments inteaching of Law in general, and specifically with regard to Family and Inheritance Law. The methodology used ensures learning through a legal conflict, which must be resolved by the students themselves from different viewpoints as legal agents. This is an activity in teaching innovation, in which students become the protagonists. Participation is voluntary, and the main aim is student motivation. The subject's aim is for students to learn public speaking skills fundamental to the profession while familiarising themselves with judicial practice. Theteacher sets up a legal conflict in order for students to resolve the dispute as legal agents with divergent viewpoints - in other words, as judges, attorneys, lawyers and so on. The project seeks alternatives to traditional teaching methods and is an innovative teaching method aimed at professionally training future lawyers as well as being a model that involves students more in their own learning.

Empowering engineering students through employability skills

A professional course program like engineering strives to get the maximum number of its students placed through campus interviews. While communication skills have been added in all the engineering courses with the aim to improve their performance in placement, the syllabus mostly concentrates on the development of four language skills. The students are not made aware of the employability skills and their significance. This essay intends to enlist the importance of skills and why students need to be aware of the skills they possess and how they can work on packaging their candidature around a few skills. The discussion starts by addressing the apparent gap between academic programs for engineering students and industry skills requirements. A list of vital employability skills from the standpoint of engineering students follows, with a discussion on how to potentially develop such skills through campus life. The essay stresses the role of academia in filling this gap by acting as facilitators in a three-step process (i.e., awareness, self-analysis, and acquisition). The author concludes that the combination of both employability skills along with an engineering degree should ensure students meet the high expectations of the employers.

Skills in the XXI Century Guidance: An Approach to the Costa Rican Reality

During a long time, the term competence has been used in different fields. Among those fields, and one of the most important, we can mention the educational system, from preschool to university levels. The term has to be understood as one person integral behavior, making him/her able to enter the labor force in the most competitive way. Within the university realm, experts have tried to include the model of competences as a transversal axle into the teaching-learning process. In European universities, such model has been implemented in most of them. In Latin America universities, on the other hand, it has been used in a good number of countries. The importance of early detection of competences among target populations in education has been widely discussed. However, it has been highlighted the necessity of considering romantic or subjective competences, which seem to lack of value in this complex and competitive actual world. The term competence has been classified as genetic competence, or common and specific competence. The latter is related to the knowledge scope. Within the counseling field, specifically, the general and specific competences are deemed highly appropriate for good a work performance. This article focuses on the main antecedents of competences and analyzes this approach from counseling field perspective. In regards to this specific aspect, a survey with professionals in counseling was carried out. Such a survey ends up dealing with some of the competences considered unavoidable for an accurate performance of professionals in counseling. It is important to mention that the competences of the survey mainly point out to genetic competences rather than to specific competences.

Left orthotopic lung transplant in rats: the learning process.

INTRODUCTION: The orthotopic left lung transplantation model in rats has been developed to answer a variety of scientific questions in transplant immunology and in the related fields of respiratory diseases. However, its widespread use has been hampered by the complexity of the procedure. AIM OF THE RESEARCH: Our purpose is to provide a detailed description of the procedure of this technique, including the complications and difficulties from the very first microsurgical step until the ultimate successful completion of the transplant procedure. MATERIALS AND METHODS: The transplant procedures were performed by two collaborating transplant surgeons with microsurgical and thoracic surgery skills. A total of 150 left lung transplants in rats were performed. Twenty-seven syngeneic (Lewis to Lewis) and 123 allogeneic (Brown-Norway to Lewis) lung transplants were performed using the cuff technique. RESULTS: In first 50 transplant procedures, post-transplant survival rate was 74% of which 54% reached the end-point of 3 or 7 days post-transplant; whole complication rate was 66%. In the subsequent 50 transplant surgeries (from 51 to 100) post-transplant survival rate increased to 88% of which 56% reached the end-point; whole complication rate was 32 %. In the final 50 transplants (from 101 to 150) post-transplant survival rate was confirmed to be 88% of which 74% reached the end-point; whole complication rate was again 32 %. CONCLUSIONS: One hundred-fifty transplants can represent a reasonable number of procedures to obtain a satisfactory surgical outcome. Training period with simpler animal models is mandatory to develop anesthesiological and microsurgical skills required for successfully develop this model. The collaboration between at least two microsurgeons is mandatory to perform all the simultaneous procedures required for completing the transplant surgery.

Simulation of photoinduced processes in organic chromophores: mapping photochemically relevant states for accurate dynamics

The simulation of ultrafast photoinduced processes is a fundamental step towards the understanding of the underlying molecular mechanism and interpretation/prediction of experimental data. Performing a computer simulation of a complex photoinduced process is only possible introducing some approximations but, in order to obtain reliable results, the need to reduce the complexity must balance with the accuracy of the model, which should include all the relevant degrees of freedom and a quantitatively correct description of the electronic states involved in the process. This work presents new computational protocols and strategies for the parameterisation of accurate models for photochemical/photophysical processes based on state-of-the-art multiconfigurational wavefunction-based methods. The required ingredients for a dynamics simulation include potential energy surfaces (PESs) as well as electronic state couplings, which must be mapped across the wide range of geometries visited during the wavepacket/trajectory propagation. The developed procedures allow to obtain solid and extended databases reducing as much as possible the computational cost, thanks to, e.g., specific tuning of the level of theory for different PES regions and/or direct calculation of only the needed components of vectorial quantities (like gradients or nonadiabatic couplings). The presented approaches were applied to three case studies (azobenzene, pyrene, visual rhodopsin), all requiring an accurate parameterisation but for different reasons. The resulting models and simulations allowed to elucidate the mechanism and time scale of the internal conversion, reproducing or even predicting new transient experiments. The general applicability of the developed protocols to systems with different peculiarities and the possibility to parameterise different types of dynamics on an equal footing (classical vs purely quantum) prove that the developed procedures are flexible enough to be tailored for each specific system, and pave the way for exact quantum dynamics with multiple degrees of freedom.

Machine Learning algorithm on seat comfort level measurement, mapping pressure values with body regions

The comfort level of the seat has a major effect on the usage of a vehicle; thus, car manufacturers have been working on elevating car seat comfort as much as possible. However, still, the testing and evaluation of comfort are done using exhaustive trial and error testing and evaluation of data. In this thesis, we resort to machine learning and Artificial Neural Networks (ANN) to develop a fully automated approach. Even though this approach has its advantages in minimizing time and using a large set of data, it takes away the degree of freedom of the engineer on making decisions. The focus of this study is on filling the gap in a two-step comfort level evaluation which used pressure mapping with body regions to evaluate the average pressure supported by specific body parts and the Self-Assessment Exam (SAE) questions on evaluation of the person’s interest. This study has created a machine learning algorithm that works on giving a degree of freedom to the engineer in making a decision when mapping pressure values with body regions using ANN. The mapping is done with 92% accuracy and with the help of a Graphical User Interface (GUI) that facilitates the process during the testing time of comfort level evaluation of the car seat, which decreases the duration of the test analysis from days to hours.