Evaluation for Participation and Sustainability in Planning

‘Evaluation for Participation and Sustainability in Planning’ is the title of a new book edited by Johan Woltjer and his colleagues Angela Hull, Ernest Alexander, and Abdul Khakee. The book addresses the evaluation of planning interventions from several perspectives (social, economic, environmental). Specifically, the attention is focused on: - how evaluation is used in planning practice, including the choice of indicators or the criteria to evaluate participation; - the introduction of new kinds of information, such as measuring the cumulative effects or bringing criteria on capability and well-being into play; - alternative ways of collecting and presenting information, through using GIS or focusing on strategic environmental awareness and ‘hotspots’; and - understanding how strategic planning objectives are implemented in local practice.

Motivation and Vocabulary Breadth in CLIL and EFL Contexts. Different age, Same Time of Exposure

Numerous studies have found a positive connection between learners’ motivation towards foreign language and foreign language achievement. The present study examines the role of motivation in receptive vocabulary breadth (size) of two groups of Spanish learners of different ages, but all with 734 hours of instruction in English as a Foreign Language (EFL): a CLIL (Content and Language Integrated Learning) group in primary education and a non-CLIL (or EFL) group in secondary education. Most students in both groups were found to be highly motivated. The primary CLIL group slightly overcame the secondary non-CLIL group with respect to the mean general motivation but this is a non-significant difference. The secondary group surpass significantly the primary group in receptive vocabulary size. No relationship between the receptive vocabulary knowledge and general motivation is found in the primary CLIL group. On the other hand, a positive significant connection, although a very small one, is identified for the secondary non-CLIL group. We will discuss on the type of test, the age of students and the type of instruction as variables that could be influencing the results.

Transformational Leadership and Job-related Learning

Various empirical studies have examined transformational leadership on the effects of followers and organisations. Transformational leadership has been related to individual attitudes and behaviors such as satisfaction with leaders, organisational citizenship behavior, organisational commitment, motivation, trust in leader, creativity, performance, employee involvement, and empowerment. It has also been linked to such organisational outcomes as innovation, change, productivity, ethical climate, and organisational learning. Organisational learning occurs at three levels: individual, group, and organisational. The focus of the present study is on the individual level—job-related learning. Job-related learning is a measure of individual job behavior pertaining to acquisition of knowledge and skills and enhancement of job performance within the context of the individual’s workplace. It argues that transformational leadership inculcates individuals’ drive to learn. The aim of the study is to examine the relationship between transformational leadership and job-related learning. Transformational leadership is composed of four unique but interrelated facets--idealised influence, individualised consideration, inspirational motivation, and intellectual stimulation. The research results support the hypothesis that transformational leadership is positively related to job-related learning. The implications of the research findings and suggestions for future research are discussed.

BUILDING EFFICIENT AND COST-EFFECTIVE CLOUD-BASED BIG DATA MANAGEMENT SYSTEMS

In today’s big data world, data is being produced in massive volumes, at great velocity and from a variety of different sources such as mobile devices, sensors, a plethora of small devices hooked to the internet (Internet of Things), social networks, communication networks and many others. Interactive querying and large-scale analytics are being increasingly used to derive value out of this big data. A large portion of this data is being stored and processed in the Cloud due the several advantages provided by the Cloud such as scalability, elasticity, availability, low cost of ownership and the overall economies of scale. There is thus, a growing need for large-scale cloud-based data management systems that can support real-time ingest, storage and processing of large volumes of heterogeneous data. However, in the pay-as-you-go Cloud environment, the cost of analytics can grow linearly with the time and resources required. Reducing the cost of data analytics in the Cloud thus remains a primary challenge. In my dissertation research, I have focused on building efficient and cost-effective cloud-based data management systems for different application domains that are predominant in cloud computing environments. In the first part of my dissertation, I address the problem of reducing the cost of transactional workloads on relational databases to support database-as-a-service in the Cloud. The primary challenges in supporting such workloads include choosing how to partition the data across a large number of machines, minimizing the number of distributed transactions, providing high data availability, and tolerating failures gracefully. I have designed, built and evaluated SWORD, an end-to-end scalable online transaction processing system, that utilizes workload-aware data placement and replication to minimize the number of distributed transactions that incorporates a suite of novel techniques to significantly reduce the overheads incurred both during the initial placement of data, and during query execution at runtime. In the second part of my dissertation, I focus on sampling-based progressive analytics as a means to reduce the cost of data analytics in the relational domain. Sampling has been traditionally used by data scientists to get progressive answers to complex analytical tasks over large volumes of data. Typically, this involves manually extracting samples of increasing data size (progressive samples) for exploratory querying. This provides the data scientists with user control, repeatable semantics, and result provenance. However, such solutions result in tedious workflows that preclude the reuse of work across samples. On the other hand, existing approximate query processing systems report early results, but do not offer the above benefits for complex ad-hoc queries. I propose a new progressive data-parallel computation framework, NOW!, that provides support for progressive analytics over big data. In particular, NOW! enables progressive relational (SQL) query support in the Cloud using unique progress semantics that allow efficient and deterministic query processing over samples providing meaningful early results and provenance to data scientists. NOW! enables the provision of early results using significantly fewer resources thereby enabling a substantial reduction in the cost incurred during such analytics. Finally, I propose NSCALE, a system for efficient and cost-effective complex analytics on large-scale graph-structured data in the Cloud. The system is based on the key observation that a wide range of complex analysis tasks over graph data require processing and reasoning about a large number of multi-hop neighborhoods or subgraphs in the graph; examples include ego network analysis, motif counting in biological networks, finding social circles in social networks, personalized recommendations, link prediction, etc. These tasks are not well served by existing vertex-centric graph processing frameworks whose computation and execution models limit the user program to directly access the state of a single vertex, resulting in high execution overheads. Further, the lack of support for extracting the relevant portions of the graph that are of interest to an analysis task and loading it onto distributed memory leads to poor scalability. NSCALE allows users to write programs at the level of neighborhoods or subgraphs rather than at the level of vertices, and to declaratively specify the subgraphs of interest. It enables the efficient distributed execution of these neighborhood-centric complex analysis tasks over largescale graphs, while minimizing resource consumption and communication cost, thereby substantially reducing the overall cost of graph data analytics in the Cloud. The results of our extensive experimental evaluation of these prototypes with several real-world data sets and applications validate the effectiveness of our techniques which provide orders-of-magnitude reductions in the overheads of distributed data querying and analysis in the Cloud.

Competitive ability of cultivated rice against weedy rice biotypes – A review

Weedy rice has been identified as a threat to rice production worldwide. Its phenotypic and genotypic diversity and its potential to compete against rice in all development stages from germination to maturity have resulted in a loss of rice yield and grain quality, which is remarkably high in directseeded rice cultivation. Weedy rice dormancy varies, it has a higher germination rate, and tolerates deeper germination depth compared to rice cultivars. Interactions of weedy rice with cultivars often reflect early vigor, more tillering, nutrient utilization ability for shoot development with respect to rice cultivars even though the latter also show an improvement in shoot development under competition. An exponential relationship has been reported between cultivated rice loss and weedy rice density: this is true for all rice cultivars. The degree of loss is dependent on the competitive ability of the rice cultivar being studied, and each weedy rice biotype also interacts differently. Hence, the need for a comprehensive study of the biology of various weedy rice variants. Difficulties arise in the management of weedy rice due to its physiological, anatomical, and morphological similarities to cultivated rice. The manipulation of the environment to improve cultivated rice production and suppress the emergence of weedy rice variants is important in the management of weedy rice, as well as other cultural practices and use of pesticides. The development of herbicide-resistant rice cultivars is necessary to totally eliminate the weedy rice variants. This review provides information on the competitive ability of weedy rice against rice cultivars; this information is essential to create management options to control weedy rice.

Indole acetic acid and ACC deaminase fromendophytic bacteria improves the growth of Solanum lycopersicum

Background: Endophytic bacteria are ubiquitous in all plant species contributing in host plant\'s nutrient uptake and helping the host to improve its growth. Moringa peregrina which is a medicinal plant, growing in arid region of Arabia, was assessed for the presence of endophytic bacterial strains. Results: PCR amplification and sequencing of 16S rRNA of bacterial endophytes revealed the 5 endophytic bacteria, in which 2 strains were from Sphingomonas sp.; 2 strains from Bacillus sp. and 1 from Methylobacterium genus. Among the endophytic bacterial strains, a strain of Bacillus subtilis LK14 has shown significant prospects in phosphate solubilization (clearing zone of 56.71 mm after 5 d), ACC deaminase (448.3 ± 2.91 nM α-ketobutyrate mg-1 h-1) and acid phosphatase activity (8.4 ± 1.2 nM mg-1 min-1). The endophytic bacteria were also assessed for their potential to produce indole-3-acetic acid (IAA). Among isolated strains, the initial spectrophotometry analysis showed significantly higher IAA production by Bacillus subtilis LK14. The diurnal production of IAA was quantified using multiple reactions monitoring method in UPLC/MS–MS. The analysis showed that LK14 produced the highest (8.7 μM) IAA on 14th d of growth. Looking at LK14 potentials, it was applied to Solanum lycopersicum , where it significantly increased the shoot and root biomass and chlorophyll (a and b) contents as compared to control plants. Conclusion: The study concludes that using endophytic bacterial strains can be bio-prospective for plant growth promotion, which might be an ideal strategy for improving growth of crops in marginal lands.

Diabetes mellitus among tuberculosis patients: a cross sectional study from Pakistan

Background: The co-occurrence of diabetes mellitus (DM) and tuberculosis (TB) is largely associated with high frequency of morbidity. Objective: To determine the prevalence of DM among TB patients and describe the socio-demographic and behavioral factors associated with TB-DM co-occurrence . Methods: We enrolled 500 TB patients from September, 2014 to August 2015 at four major public sector hospitals of Lahore, Pakistan. A questionnaire was used to collect information regarding associated socio-demographic and behavioral factors of the patients. We monitored the fasting blood sugar of each patient by using a semi automated clinical chemistry analyzer followed by an HbA1c level check of all hyperglycemic patients. Results: The prevalence of TB-DM co-occurrence was 14.8%. The prevalence of TB-DM was higher (62.2%) among males. The >57 year age group had the highest proportion of patients (35.1%), with co-existent TB-DM. Most were illiterate (73.0%) and unemployed (48%). Moreover, among the 74 patients positive for TB-DM had a history of smoking. Age and education level were significantly associated with DM-TB while gender, occupation and smoking were not associated. Conclusion: The study revealed a 14.8% prevalence of DM among TB patients. This was associated with several socio-demographic factors, including age, unemployment, literacy and polluted environment. Thus, poor and unhealthy lifestyles were the factors associated with DM among immunologically compromised individuals due to TB.

A perspectiva dos profissionais de saúde nas inovações de gestão: Estudo de caso numa unidade de saúde

A necessidade de conciliar uma procura cada vez maior com as restrições de recursos humanos e financeiros levou a que se implementasse um conjunto de inovações que permitisse alcançar maior eficiência. No presente estudo aborda-se uma dessas iniciativas: os Hospitais SA. As implicações originadas por esta medida, ocorreram em termos de alterações de gestão e adopção de novos conceitos. Estas são algumas das dimensões estudadas. Em termos metodológicos pretende-se perceber como é que alguns dos profissionais de Saúde avaliam as modificações que ocorreram. Para tal, optou-se por levar a cabo um estudo de caso de um Hospital SA da região de Lisboa e Vale do Tejo, numa abordagem qualitativa, visando identificar a perspectiva dos profissionais de saúde nas inovações de gestão, relacionadas com as novas tecnologias, das quais se destacam: • Utilização da Internet; • Implementação e utilização da Intranet; • Desenvolvimento de Arquivos Digitais relativos a processos médicos; • Cartão Vital; • Aplicação Medivital. Para a recolha de dados será utilizada uma entrevista sarni-estruturada “que atribui maior liberdade ao investigador para conduzir a entrevista como achar ser mais conveniente, para a obtenção de dados que se revelem pertinentes" (Patton, 1990). Abstract; The need to conciliate the increasing search for healthcare over time with the restrictions of human and financial resources conducted to the implementation of a set of innovations that allowed a greater efficiency. ln the present study, one of those initiatives is presented: in the Hospitais SA. The implications of this measure occurred in terms of management modifications and in the adoption of new concepts. These are some of the studied dimensions. ln methodological terms, it’s intended to perceive how health professionals evaluate the modifications that occurred. For such, it was opted to present a case study of a Hospital SA from Lisboa e Vale do Tejo region, in a qualitative approach, aiming to identify the health professionals perspective of the management innovations related to the new technologies, from which the following, stand out: • Internet usage; • Implementation and use of Internet; • Development of Digital Archives related to medical processes; • Vital Card; • Medivital application. For data gathering a half-structuralized interview will be used "which gives greater freedom to the researcher to conduct the interview as he finds most convenient, in order to obtain relevant data" (Patton, 1990).

Modelling and analysing human behaviour in a department store using discrete event and agent based simulation

Discrete Event Simulation (DES) is a very popular simulation technique in Operational Research. Recently, there has been the emergence of another technique, namely Agent Based Simulation (ABS). Although there is a lot of literature relating to DES and ABS, we have found less that focuses on exploring the capabilities of both in tackling human behaviour issues. In order to understand the gap between these two simulation techniques, therefore, our aim is to understand the distinctions between DES and ABS models with the real world phenomenon in modelling and simulating human behaviour. In achieving the aim, we have carried out a case study at a department store. Both DES and ABS models will be compared using the same problem domain which is concerning on management policy in a fitting room. The behaviour of staffs while working and customers’ satisfaction will be modelled for both models behaviour understanding.

Comparing simulation output accuracy of discrete event and agent based models: a quantitative approach

In our research we investigate the output accuracy of discrete event simulation models and agent based simulation models when studying human centric complex systems. In this paper we focus on human reactive behaviour as it is possible in both modelling approaches to implement human reactive behaviour in the model by using standard methods. As a case study we have chosen the retail sector, and here in particular the operations of the fitting room in the women wear department of a large UK department store. In our case study we looked at ways of determining the efficiency of implementing new management policies for the fitting room operation through modelling the reactive behaviour of staff and customers of the department. First, we have carried out a validation experiment in which we compared the results from our models to the performance of the real system. This experiment also allowed us to establish differences in output accuracy between the two modelling methods. In a second step a multi-scenario experiment was carried out to study the behaviour of the models when they are used for the purpose of operational improvement. Overall we have found that for our case study example both, discrete event simulation and agent based simulation have the same potential to support the investigation into the efficiency of implementing new management policies.

Investigating output accuracy for a discrete event simulation model and an agent based simulation model

In this paper, we investigate output accuracy for a Discrete Event Simulation (DES) model and Agent Based Simulation (ABS) model. The purpose of this investigation is to find out which of these simulation techniques is the best one for modelling human reactive behaviour in the retail sector. In order to study the output accuracy in both models, we have carried out a validation experiment in which we compared the results from our simulation models to the performance of a real system. Our experiment was carried out using a large UK department store as a case study. We had to determine an efficient implementation of management policy in the store’s fitting room using DES and ABS. Overall, we have found that both simulation models were a good representation of the real system when modelling human reactive behaviour.

Modelling reactive and proactive behaviour in simulation

This research investigated the simulation model behaviour of a traditional and combined discrete event as well as agent based simulation models when modelling human reactive and proactive behaviour in human centric complex systems. A departmental store was chosen as human centric complex case study where the operation system of a fitting room in WomensWear department was investigated. We have looked at ways to determine the efficiency of new management policies for the fitting room operation through simulating the reactive and proactive behaviour of staff towards customers. Once development of the simulation models and their verification had been done, we carried out a validation experiment in the form of a sensitivity analysis. Subsequently, we executed a statistical analysis where the mixed reactive and proactive behaviour experimental results were compared with some reactive experimental results from previously published works. Generally, this case study discovered that simple proactive individual behaviour could be modelled in both simulation models. In addition, we found the traditional discrete event model performed similar in the simulation model output compared to the combined discrete event and agent based simulation when modelling similar human behaviour.

Propuesta de un programa de capacitación y formación integral para la micro y pequeña empresa atendidas por Fademype en el municipio de Santa Tecla, departamento de La Libertad.

El sector de la Micro y Pequeña Empresa (MyPe), es uno de los más importantes para la economía del municipio de Santa Tecla. De acuerdo a datos de la Comisión Nacional para la Micro y Pequeña Empresa (CONAMYPE), en él se encuentran ubicadas el 61.5% de las microempresas del departamento de La Libertad y el 55.5% de las pequeñas empresas. El sector MyPe aumentó considerablemente, debido al cierre masivo de empresas grandes y medianas provocado por el conflicto durante la década de los ochenta. Por lo tanto, las organizaciones que involucran a empresari@s del sector dentro de sus programas, tienen el reto de conducirles a su propio crecimiento y desarrollo integral para que mejoren su nivel de vida. El objetivo principal de la investigación es brindar a la Fundación para el Autodesarrollo de la Micro y Pequeña Empresa (FADEMYPE) una Propuesta de un Programa de Capacitación y Formación Integral para la Micro y Pequeña Empresa en el municipio de Santa Tecla como una herramienta técnica que le permita desarrollar la formación de l@s empresari@s apegada a sus necesidades y que puedan escalar de un nivel a otro. La metodología de abordaje en el desarrollo de las acciones de capacitación estará basada en el enfoque del constructivismo y el método activo participativo, dando como resultado que l@s empresari@s se involucren directamente en el proceso de aprendizaje a través de la investigación personal y el contacto directo con el planteamiento de un problema y las experiencias en la interacción en los grupos de trabajo. Partiendo de las necesidades detectadas en el estudio se concluye que, la mayoría de microempresas están conformadas por familiares, un factor que puede ser beneficioso para el negocio y que la mayor parte del personal es de tipo operativo y experiencia práctica y no tienen una preparación académica. Que es muy poco el nivel de importancia que l@s empresari@s en las MyPEs le dan a la diferenciación de sus productos; así mismo, conocen poco sobre la manera de establecer los precios. Los controles de calidad y existencia de productos lo hacen por simple observación. Por otra parte, muchos de l@s empresari@s no tienen legalizado sus negocios ya sea por falta de conocimiento técnico o por la dificultad que se presenta al realizar dicho trámite.Que la mayoría de empresari@s se ven en la necesidad de recurrir a préstamos bancarios con elevadas tasas de interés, limitándol@s de ese modo a percibir un poco más de ganancia en sus negocios. Por lo tanto se recomienda que l@s empresari@s desarrollen liderazgos empresariales efectivos sobre una base técnica. Que trabajen en la mercadotecnia de sus productos, a fin de buscar posicionamiento en los segmentos que ellos manejan y no descuidar los programas de atención al cliente para todos sus empleados. Es necesario que l@s empresari@s tengan un manual de procedimientos sobre los procesos técnicos en la elaboración de sus productos o la prestación de servicios.Que los inventarios sean claros y consistentes ya que son una herramienta vinculada con las compras y que conozcan las ventajas o desventajas de estar legalizados.

Comparison of access to medicines between Klang Valley and East Coast of peninsular Malaysia for children living in poor households

Purpose: To compare access to medicines in children living in poor households (income of USD1/person/day) between urbanised Klang Valley and rural East Coast of Peninsular Malaysia. Methods: A semi-structured interview was conducted with caregivers to determine demographics, access to medicines, knowledge, attitude and practice of parents in obtaining medicines for children. Results: There was no significant difference socio-demographically between poor households in Klang Valley (N = 58) and East Coast (N = 40). The study found that access to medicine for children (N = 325) in the households was adequate, where all households that reported illness in the children over the last 1 month and the last 6 month periods, obtained medicines and 99 % of the children were fully immunized. Qualitative analysis showed that poor households face several barriers in accessing medicines for their children such as financial, transportation, physical and attitudinal. Conclusion: Access to medicines for children living in poor households in both areas were similar and adequate. However, barriers to access remain and further studies are required.

Analgesic synergism of gabapentin and carbamazepine in rat model of diabetic neuropathic pain

Purpose: To evaluate synergy in the analgesic effects of a combination therapy of carbamazepine (CBZ) and gabapentin (GBP) in diabetic neuropathic pain. Methods: Neuropathic pain was produced in rats by a single intraperitoneal injection of streptozotocin (STZ) at 60 mg/kg. CBZ, GBP, and their combination were orally administered at varying doses (GBP 30 - 180 mg/kg; CBZ 20 - 40 mg/kg) comparable to their therapeutic doses in humans. Nociceptive responses in the diabetic rats were assessed using hot plate test. Results: Hot plate latency significantly increased with oral administration of GBP at a dose of 180 mg/kg when compared with control group (p < 0.05), while at a dose of 90 mg/kg, the increase was not significant. Oral administration of CBZ at doses of 20 and 40 mg/kg did not produce any significant impact on hot plate latency. However, a combination of GBP at 90 mg/kg and CBZ at 20 mg/kg produced significant increase in latency, compared with control group and other groups (p < 0.05), except the group that received 180 mg/kg GBP. The combination of low dose GBP 30 mg/kg and carbamazepine 30 mg/kg had no significant effect on latency (p > 0.05). Conclusion: The results obtained in this study provide useful information on the combination therapy of GBP and CBZ, which may be applied in the treatment of pain in diabetic neuropathy.