Miracle-dz/UniFAR-FTUs huggingface dataset:
Review of: Christensen, Julia, Christopher Cox & Lisa Szabo-Jones (eds.). 2018. Activating the heart: Storytelling, knowledge sharing and relationship (Indigenous Studies Series). Waterloo, Ontario, Canada: Wilfrid Laurier University Press.

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
Evaluation of Terra/Aqua MODIS and Sentinel-2 MSI NDVI data for predicting actual evapotranspiration in Mediterranean regions

ABSTRACT Conventional meteorological data and remotely sensed Normalized Difference Vegetation Index (NDVI) images can be proficiently combined to predict actual evapotranspiration (ETA) on different spatial and temporal scales. Up to now, however, the operational application of this approach in heterogeneous Mediterranean regions has found difficulty due to the insufficient spatial resolution of satellite sensors having high acquisition frequency (i.e. 250 m of Terra/Aqua Moderate Resolution Imaging Spectroradiometer, MODIS). The current study investigates the advantages brought for this objective by the recent availability of NDVI data taken from the Sentinel-2 MultiSpectral Instrument (MSI), which has a spatial resolution of 10 m. The investigation has been performed in two Mediterranean areas characterized by different spatio-temporal variability of vegetation cover. The first is a mountain coniferous forest, where such variability is low, while the second is a relatively small (around 10 ha) irrigated tomato field surrounded by other annual crops showing diversified growing cycles. An ETA estimation method based on NDVI data is applied in the two study areas and its performances are evaluated against ground references obtained through the elaboration of site measurements (i.e. meteorological, soil water content, and crop coefficient observations). The advantage of using MSI over MODIS NDVI images is marginal in the first case study, while is evident in the second. More particularly, such advantage is outstanding when the remote sensing method is applied in an operational mode, i.e. without using the information on the water supplied to the tomato crop by irrigation. This confirms that the utility of higher spatial resolution data is dependent not only on the fragmentation of the observed landscapes but also on the synchronicity of major vegetation growing cycles, which is influenced by both environmental and human-induced factors.
Design, Synthesis and Evaluation of 1,3,2 Diazaphosphorin[4,5-b]Quinoxaline-5,10-di-N-oxide Derivatives as Novel VEGFR-2 and SRCKinase Inhibitors in the Treatment of Prostate Cancer

Prostate cancer remains a significant public health problem, with limited therapeutic options. Recently, new approaches in prostate cancer treatment have been developed, inhibition of the proangiogenic VEGFR kinase and SRC kinase, involved in progression and metastasis of prostate cancer were investigated. A new series of 1,3,2diazaphosphorin(4,5-b)quinoxaline-5,10-di-N-oxide was synthesized using Lawson's reagent in a reaction that provides a rare example of the incorporation of phosphorous. The structure of the new compounds was confirmed by spectroscopic data. The new synthesized compounds were evaluated for their in-vitro prostate cancer cell line (PC3). Compounds 7a and 8a possessed remarkable antitumor activity more active than the known drug Doxorubicin with IC50= 0.12, 0.36 and 0.63 µM respectively. Evaluation of the new synthesized compounds on VEGFR-2 and SRC kinases showed that compound 7a was the most effective with IC50= 18µM. On the other hand, weak inhibitory effect was observed by the compounds on SRC kinase. Docking study was performed for compound 7a into ATP binding site of VEGFR-2 kinase.
Driving Range of Electric Vehicles Charged by Wireless Power Transfer

Electric vehicles (EVs) are limited by the on-board batteries in terms of driving range and charging duration. In this paper, the driving range of electric vehicles (EVs) charged by wireless power transfer (WPT) systems is investigated. Specifically, a force-based vehicle model is coupled with a simple extended battery model to simulate the impact of wireless charging on the state of charge of the accumulator sub-system. In total, three different scenarios, i.e., urban, highway and combined driving are presented. The trade-off between having a standalone charging option versus combined dynamic and quasi-dynamic wireless charging is outlined and minimum system requirements, such as charging power levels and road coverage, for unlimited range are established. Furthermore, the effect of external factors such as ambient temperature, battery age and wireless transfer efficiency is investigated. It is shown that employing combined charging at medium power levels is sufficient to achieve unlimited range compared to high power requirements for standalone charging. Finally, safety concerns regarding human exposure are addressed with lower charging powers.
Contribution about Social Responsibility for Business Organizations: Implementing the Micro-donation

This paper aimed to answer the question regarding the distribution of micro-donations. It focuses on investigating that how rounding-up the invoice amount of purchases could change the donation market. In order to do so an intensive literature review on ethics, Corporate Social Responsibility (CSR) and donations with a special focus on micro-donations was conducted. The findings from the literature review show that micro-donations can be used as a low threshold for customers to do good and as a starting point for bigger donations. Those findings were discussed in the light of how micro-donations can be perceived by customers and by corporations. Implementation strategies for micro-donations at different point-of-sales were analyzed within the work. The results of this literature review were compared with those of an empirical study that was also conducted in the course of the PhD. A quantitative survey taking place in both Germany and Romania including 16 closed-ended questions regarding people's attitude towards micro-donations was used to deepen the understanding of the topic. Analysis of the gathered data showed that, as was partially predicted by the findings from the literature review, the option to donate via micro-donations seem relevant especially for the young and the poor. Those usually very hard to reach demographics can with this measure be nudged into donating small amounts. In general, the paper was able to show that people do have a very positive attitude towards microdonations. Still, special education on the topic is needed in order to achieve optimal results.
Cloud-Based K-Closest Pairs Discovery in Dynamic Cyber-Physical-Social Systems

Given two object sets P and Q, a <inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula>-closest pairs (k-CP) query finds <inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula> closest object pairs from <inline-formula> <tex-math notation="LaTeX">$\text{P}\times \text{Q}$ </tex-math></inline-formula>. This operation is common in many real-life applications such as GIS, data mining and recommender systems. However, the k-CP problem has not been well studied in Dynamic Cyber-Physical-Social Systems (D-CPSS), where temporal information and multiple attributes are associated with each edge. In D-CPSS, people would like to specify multiple constraints on these attributes within a time interval to illustrate their requirements. In this paper, we study the temporal multiple constraints <inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula> closest pairs (TMC-k-CP) in D-CPSS, which is NP-Complete. We propose a divide-and-conquer cloud-based algorithm (DC) to find TMC-k-CP efficiently and effectively. To the best of our knowledge, DC is the first algorithm supporting the TMC-k-CP query in D-CPSS. The experimental results on eight real D-CPSS datasets demonstrate that our algorithm outperforms the state-of-the-art methods in terms of both efficiency and effectiveness.
Death and sterility with a side of evolutionary suicide : the interplay of deleterious mutations and population size and the evolution of self-fertilisation

La presence des mutations deleteres a favorise l'evolution de mecanismes, au niveau cellulaire et au niveau des organismes (e.g. les regimes de reproduction), permettant de diminuer leurs effets negatifs. Au cours de cette these nous avons etudie leur impact sur la taille des populations a travers des modeles tenant compte de l'interaction entre la demographie et la selection, cette interaction etant souvent mise de cote dans les modeles conventionnels de genetique des populations. Dans un contexte deterministe a un seul locus des mutations somatiques et gametiques influencent la taille et le fardeau genetique des populations (ces derniers etant dependants du moment d’expression des mutations dans le cycle de vie). Nos modeles stochastiques avec un grand nombre de locus indiquent que la viabilite des populations depend des parametres demographiques et genetiques (taux de mutation, effet deletere des mutations). L'autofecondation est generalement avantageuse, augmentant la taille et la viabilite des populations, mais lorsque les mutations sont de faible effet un regime d'autogamie stricte mene a l'extinction par fonte mutationelle. En permettant l'evolution de l'autofecondation a partir d'une population allogame nous observons des cas de suicide evolutif ou les populations evoluent vers l'autogamie stricte et s'eteignent, ce qui pourrait expliquer les taux d’extinctions eleves des especes auto-fecondantes comparees aux allo-fecondantes. Ces modeles predisent que la taille des populations pourrait etre une consequence et non une cause de leurs proprietes genetiques, appuyant sur l’importance de prendre en compte leur interaction dans l'etude de l'evolution des populations.
Intelligent-ANFIS Model for Predicting Measurement of Surface Roughness and Geometric Tolerances in Three-Axis CNC Milling

Machinery is one of the major fields that impact the growth of the country. Computer numerical control (CNC) plays a vital role in manufacturing machining parts. Each product manufactured from CNC has its performance index requirements based on its usage. The performance indexes, such as surface roughness and geometric tolerances, are important for any CNC machined product. The performance index values are affected by several controllable and uncontrollable parameters, among which the controllable parameters can be tuned to get the desired performance index values. Hence, in this article, we proposed an intelligent prediction model to predict the performance index values, such as surface roughness and geometric tolerances, considering the controllable machining parameters as the input for the model. The experimental results show that the performance index can be predicted effectively with various CNC machining parameters. Therefore, the model can be useful for the manufacturers for achieving the desired performance index values.
Deep Learning for Financial Time-Series Data Analytics: An Image Processing Based Approach

Forex or Foreign Exchange is the largest financial market with a huge amount of daily trading volume. Traditionally, the tool or strategy that Forex traders usually used is divided into Fundamental Analysis and Technical Analysis. Presently, the world computational technological advance, such as Artificial Intelligence plays a significant role in the financial domain. The various existing research applies Machine Learning and Deep Learning to develop powerful models that can be used as a tool for traders in order to develop their trading tools or strategies. However, most existing models are developed targeting for the stock market. There are still lag of research that applies the modern Machine Learning or Deep Learning for predicting the movement of the price in the Forex market. In this paper, we propose a novel predicting model based on Deep Convolutional Neural Network that can be effectively used as a tool in order to make the profits for Forex traders. We evaluate the performance of the proposed CNN model from two perspectives. The first perspective is to evaluate the accuracy of the prediction and the second perspective is to evaluate the ability to make profits. The experimental results show that in term of accuracy of the prediction, our proposed CNN model provide the accuracy up to approximately 77%. This result is similar to the C5.0 algorithm, which is a rule-based algorithm of Machine Learning. The results are different in a trivial faction. In terms of financial perspective, the proposed CNN model performs well as it produces approximately $69K for one and a half year (from January 2017 to September 2018).
Parallel-strip line stub resonator for permittivity characterization

A new type of a microwave permittivity sensor with a short open stub as a resonator is introduced. The open stub is realized as a double-sided parallel-strip line without a substrate and can be totally immersed into the measured material. It provides high sensitivity of the resonant frequency nearly proportional to the ratio of square roots of dielectric constants of the measured materials. The sensor is tested in two different frequency ranges and for two different dielectric constant ranges (oils and ethanol-water mixture). Its technology is without any additional technological processes such as vias, air-bridges or defected ground structures. Presented sensor is designed, fabricated and tested showing good agreement between simulations and measurements.
INFLUENCE OF PROJECT MANAGEMENT PRACTICES ON TIMELY COMPLETION OF EDUCATION PROJECTS FUNDED BY BONDO NATIONAL GOVERNMENT CONSTITUENCY DEVELOPMENT FUND, SIAYA COUNTY, KENYA

The main objective of this study was to investigate influence of project management practices on timely completion of education projects funded by Bondo National Government Constituency Development Fund, Siaya County, Kenya. The study adopted a descriptive research design. Primary data was collected using structured questionnaires. The study targeted population of 129 project management committee members form where Yamane’s sampling formula was used to get a sample of 97 respondents. Data analysis was done using Statistical Package of Social Sciences, where descriptive and inferential statistics were computed and analyzed data presented in form of tables and graphs. From study findings, both descriptive and inferential statistics revealed that all independent variables (stakeholder involvement, quality control management, project fund management, project risk management) significantly influenced timely completion of completion of education projects funded by Bondo National Government Constituency Development Fund. The study concluded that effective involvement of stakeholder in the local school community and school managers can significantly influence timely completion of projects funded by Bondo National Government Constituency Development Fund; effective project fund management in terms efficient utilization of project funds without fund misappropriation can enhance timely completion of projects funded by Bondo National Government Constituency Development Fund. The study recommended that CDF project management committees of education projects should draw project committee membership from both the local communities and school management to enable them own the projects and thus fasten timely completion of education projects funded by Bondo National Government Constituency Development Fund. CDF project management committees should be equipped with current project risk management tools to enable them identify and control emerging project risks that hamper timely completion of education projects financed by Constituency Development Fund. Key Words: Risk Management, Fund Management, Quality Control, Stakeholder Involvement, Project Management CITATION: Ochola, G. M. , & Malenya, A. (2020). Influence of project management practices on timely completion of education projects funded by Bondo National Government Constituency Development Fund, Siaya County, Kenya. T he Strategic Journal of Business & Change Management , 7(2), 1 – 19.
Intellectual capital in rehabilitation organizations

This paper aims to clear ambiguities regarding the definition of intellectual capital and its components in the evaluation of rehabilitation organizations. ,A preliminary definition of intellectual capital and its three domains of human, relational and structural capital and separate lists of proposed components for each domain was developed based on the results of a previous study. Fourteen experts in rehabilitation, health management and management engaged in Delphi rounds to reach agreed-upon definitions. Their ideas on relevance and the measurements of each proposed component in the assessment of intellectual capital in rehabilitation organizations were gathered by a questionnaire. ,Intellectual capital was defined as “The capital that emerges from the interaction of human resources’ ‘ability to think’ and to ‘create ideas’ with ‘a favorable internal and external organizational environment’ (including the managerial, social, structural, and physical environment, as well as communication between the inside and outside of the organization). ” This capital is expected to gradually increase with further education, skills training and the gaining of experience by staff and managers. Also, the further development of intra-organizational structures and inter-relations with the market will empower the organization to adapt to continually changing circumstances, leading to competitive value and profit. Finally, a list of 101 proposed components was agreed upon in the evaluation of intellectual capital in rehabilitation organizations. ,This paper may lead to the development of measurement tools and ultimately to planning effective programs to increase intellectual capital in rehabilitation organizations.
Marine mammal biology : an evolutionary approach

1. Diversity and Zoogeography A R Martin (British Antarctic Survey) and R R Reeves (ICUN/SSC CETACEAN - Quebec) 2. The Evolution of Marine Mammals J. Heyning (Natural History Museum of Los Angeles) and G M Lento (Auckland University) 3. Anatomy and Physiology: the Challenge of Aquatic Living T M Williams (University of California, Santa Cruz) and G A J Worthy (Texas A&M University) 4. Neural Morphology I Glezer (City University of New York) 5. Sensory Systems G Dehnhardt (Universitat Bonn) 6. Vocal Anatomy, Acoustic Communication and Echolocation P L Tyack (Woods Hole Oceanographic Institute) and E H Miller (Memorial University of Newfoundland) 7. Patterns of Movement P Stevick (University of St Andrews), B J McConnell (University of St Andrews) and P Hammond (University of St Andrews) 8. Feeding Ecology W D Bowen (Bedford Institute of Oceanography, Dartmouth), A J Read (Duke University) and J A Estes (University of California, Santa Cruz) 9. Energetics: Consequences for Fitness I L Boyd (British Antarctic Survey) 10. Life History and Reproductive Strategies D J Boness (Smithsonian Institution), P J Clapham (National Oceanic & Atmospheric Administration) and S L Mesnick 11. Population Genetic Structure A R Hoelzel (University of Durham), S Goldsworthy and R C Fleischer 12. Ecology of Group Living and Social Behaviour R C Connor (University of Massachusetts, Dartmouth) 13. Problem Solving and Memory R J Schusterman and D Kastak 14. Conservation and Management R R Reeves (ICUN/SSC CETACEAN - Quebec) and P Reijnders (Institute for Forestry and Nature Research, Wageningen).
Removal of High-Strength Ammonia Nitrogen in Biofilters: Nitrifying Bacterial Community Compositions and Their Effects on Nitrogen Transformation

Increasing attention has been given to the treatment of livestock and poultry wastewater because of its high ammonium nitrogen (NH4+-N) content and low carbon/nitrogen ratio (C/N). Ceramic filter medium (CFM) and dewatered aluminum sludge (DAS), which are products from cast-off materials, are used as small-scale combined biological filters (CFM-DAS) for wastewater treatment. The high and stale removal efficiency of chemical oxygen demand (COD), NH4+-N, and total nitrogen (TN) in the DAS filter indicate that DAS plays a major role in pollutant removal. Although significant differences are found between the composition of nitrifying bacteria in CFM and DAS, the structures of nitrifying communities are evenly distributed in each layer of CFM or DAS irrespective of the running time. Microbial compositions are attributed to the comprehensive effect of various environmental factors such as pH and TN at effluents. In the DAS, Nitrosospira shows significant negative correlation with the concentrations of NH4+-N in effluents, whereas it has positive correlation with NO3−-N, and Nitrososphaera has a significant negative correlation with NO3−-N in effluents. Pearson correlation test reveals that certain genera may be used in estimating or predicting NH4+-N consumption and NO3−-N accumulation in CFM-DAS for treating sewage with a high NH4+-N content.
The Effects of Human Resource Practices on Perceived Organizational Support and Job Satisfaction in Pharmacy Industry of Bangkok City in Thailand

The aim that is motivate to write this article is to investigate the HR practices influences on the perceived organization support (POS) and also on the satisfaction of the workers that are working in the pharmacies of Bangkok city in Thailand. The analysis of mediation impact of POS among the all the practices of HR such as recruitment and selection procedure, training and development procedure, and reward and compensation process are also the aim of this research. The HR managers and employee are the respondent of the research and PLS-SEM was the tool that is utilize for analysis. The findings uncovered that practices of HR such as recruitment and selection procedure, training and development procedure, and reward and compensation process has positive influence on POS and job satisfaction. The results also uncovered that POS positively mediates among the nexus of practices of HR such as recruitment and selection procedure, training and development procedure, and reward and compensation process and job satisfaction. These outcomes provided the guideline to the regulation making authorities that they should increases their focus on the HR practices that enhance the POS and job satisfaction of the employees that ultimately improve the organizational performance.