Miracle-dz/UniFAR-FTUs huggingface dataset:
Including adaptation and mitigation responses to climate change in a multiobjective evolutionary algorithm framework for urban water supply systems incorporating GHG emissions

Cities around the world are increasingly involved in climate action and mitigating greenhouse gas (GHG) emissions. However, in the context of responding to climate pressures in the water sector, very few studies have investigated the impacts of changing water use on GHG emissions, even though water resource adaptation often requires greater energy use. Consequently, reducing GHG emissions, and thus focusing on both mitigation and adaptation responses to climate change in planning and managing urban water supply systems, is necessary. Furthermore, the minimization of GHG emissions is likely to conflict with other objectives. Thus, applying a multiobjective evolutionary algorithm (MOEA), which can evolve an approximation of entire trade‐off (Pareto) fronts of multiple objectives in a single run, would be beneficial. Consequently, the main aim of this paper is to incorporate GHG emissions into a MOEA framework to take into consideration both adaptation and mitigation responses to climate change for a city's water supply system. The approach is applied to a case study based on Adelaide's southern water supply system to demonstrate the framework's practical management implications. Results indicate that trade‐offs exist between GHG emissions and risk‐based performance, as well as GHG emissions and economic cost. Solutions containing rainwater tanks are expensive, while GHG emissions greatly increase with increased desalinated water supply. Consequently, while desalination plants may be good adaptation options to climate change due to their climate‐independence, rainwater may be a better mitigation response, albeit more expensive.
AMBIO, A journal of the Human Environment Deforestation and the limited contribution of forests to rural livelihoods in West Africa: Evidence from Burkina Faso and Ghana

More details/abstract: Forest degradation in West Africa is generally thought to have negative consequences on rural livelihoods but there is little overview of its effects in the region because the importance of forests to rural livelihoods has never been adequately quantified. Based on data from 1014 rural households across Burkina Faso and Ghana this paper attempts to fill this knowledge gap. We demonstrate that agricultural lands and the nonforest environment including parklands are considerably more valuable to poor as well as more well-off rural households than forests. Furthermore, product types supplied by the nonforest environment are almost identical with those from forests. Accordingly, forest clearance/degradation is profitable for and, hence, probably performed by rural people at large. We attribute rural people’s high reliance on non-forest versus forest resources to the two countries’ restrictive and inequitable forest policies which must be reformed to promote effective forest conservation, e.g., to mitigate climate change.
Creating strategies to improve the use of it-and is-systems in final assembly

Assembly systems are complex due to mass customization. In order to be able to produce a variance of products a well functional information system is vital. Companies need a digital strategy in order to design adaptive systems to increase flexibility and usage of information support systems (IS-Systems) among operators. In case studies from Swedish industries, it is shown that operators often use their own experience when assembling products. This paper aims to describe how a digital strategy can be developed, combining IT-systems and IS-system to create dynamic systems for operators. The paper will combine two methods, MEET-model that has been used to improve meeting situations but could also be used to create digital strategies at companies. An additional use of the Delone and McLean model will be used to create the bridge between the IT-system and the IS-system. Results show that combining these models gives a clearer and broader view of the digital strategy and a possible bridge between IT-and IS-developers to create a better and more dynamic shop-floor IT system.
Coastal salmon farms attract large and persistent aggregations of wild fish: an ecosystem effect

Coastal aquaculture is a globally expanding enterprise. Currently, 1200 salmon farms operate in coastal Norway, yet their capacity to aggregate and sub- sequently modify wild fish distributions is poorly known. Aggregations of wild fish at 9 farms and 9 control loca- tions were counted on 3 separate days in June to August 2007. On each sampling occasion, 6 counts were made at 5 distinct depth-strata at each farm and control location. Wild fish were 1 to 3 orders of magnitude more abundant at farms than at control sites, depending on the location. Gadoid fish (Pollachius virens, Gadus morhua and Me- lanogrammus aeglefinus) dominated farm-associated assemblages and were present across a wide range of sizes, from juveniles to large adults. Estimated total farm- aggregated wild fish biomass averaged 10.2 metric tonnes (t) per farm across the 9 farms (range: 600 kg to 41.6 t). Applied across the geographical range of Norway's 1200 salmon farms, our estimates indicate that salmon farms attract and aggregate over 12 000 t of wild fish into a total of just 750 ha of coastal waters on any given day in sum- mer. Possible consequences of these persistent, substan- tial aggregations of wild fishes at farms include a height- ened potential for the transfer of pathogens from salmon farms to wild fish and among adjacent salmon farms, and altered availability of wild fish to fisheries. Restrictions on fishing in the immediate surrounds of salmon farms may avoid farms acting as ecological traps, particularly for species with depressed populations such as G. morhua, which are highly attracted to farms.
Possible errors in electrochemical detection of blood glucose

The need of dosage of glucose concentration required to develop test methods that allow rapid and accessible even at home. It is necessary to follow a simple protocol that minimizes errors and interferences using some functions of these devices. We have identified possible errors in obtaining experimental data: lower sample volume, consume of different foods in the evening and the morning of blood collection, type of sample analysed (serum/plasma, venous/capillary blood). The data obtained using commercial biosensors were compared with spectrometric methods and good report was obtained.
Cognitive Skills, Openness and Growth

A significant positive relationship exists between the ratios of trade and educational spending to gross domestic product, implying that countries which are more open on the trade front also spend more on education. An open economy endogenous growth model with human capital is developed to understand this stylised fact. The model predicts that countries with greater cognitive skills spend more on education, and grow faster. These countries open up on the trade front to finance importation of raw materials for investment goods production, which becomes scarce due to the diversion of resources to education. The model highlights the importance of the productivity of human capital or cognitive skill as an important economic fundamental determining the cross-country correlation between growth, trade share and education share.
Using Tensor Factorisation Models to Separate Drums from Polyphonic Music

This paper describes the use of Non-negative Tensor Factorisation models for the separation of drums from polyphonic audio. Improved separation of the drums is achieved through the incorporation of Gamma Chain priors into the Non-negative Tensor Factorisation framework. In contrast to many previous approaches, the method used in this paper requires little or no pre-training or use of drum templates. The utility of the technique is shown on real-world audio examples.
A Systematic Search for New Coupling Schemes of Cross-Coupled Resonator Bandpass Filters

In this paper, a systematic approach to an exten- sive search for topologies of cross-coupled filters with gen- eralized Chebyshev response is presented. The technique ap- plies graph theory to find unique, nonisomorphic filter con- figurations, and tests whether a specific frequency response can be realized in a given set of topologies. The results of the search are then stored in a database of possible filter configurations.
A comparison between psychological and economic factors affecting individual investor’s decision-making behavior

Abstract The purpose of this study was to understand and determine the difference between the effects of Psychological and Economic factors on individual investor’s decision-making. To achieve this purpose, questionnaire was used as an instrument to gather primary data from the investors of stock exchange using convenient sampling. Total numbers of responses collected were 254. Factor analysis was applied to find out major contributing components of psychological and economic factors. Main components of psychological factors were contributing 61.671% variance to it and components of economic factor were contributing 56.697% variance to it. Findings show that there is significant relationship of psychological factors and economic factors with individual investor’s decision-making. Regression analysis shows that psychological factors as compared to economic factors have more effect on decision-making behavior. Results of t-test showed that there is no significant relationship between the gender and investment decision-making. Results of one-way ANOVA test showed significant relationship between monthly income level of investors and investment decision-making.
Genotype-Environment (G X E) Interaction for Body Weights for Kuchi Chicken Ecotype of Tanzania Reared Under Intensive and Extensive Management

This study was carried out with the aim of determining magnitude of G x E interaction for body weights for Kuchi chicken ecotype of Tanzania reared under intensive (on-station) and extensive (free-range) management systems. Body weight was assessed at 8 (Bwt8), 12(Bwt12), 16(Bwt16), and 20(Bwt20) weeks of age. Results for this study indicated average performance in all body weight measurements was significantly higher under intensive management compared to extensive management (P is less then 0.001), signifying two diverse environment and hence possibility for G x E interaction. Based on magnitude of genetic correlation for the same trait measured in two environments ( rg ) G x E interaction for all body weight measurements were found to be substantial (i.e. biologically important). Value for rg was 0.745, 0.757, 0.752 and 0.753 for Bwt8, Bwt12, Bwt16 and Bwt20, respectively. Since breeding program for improving performance of the ecotype would be more feasible under intensive management and hence more likely to take place under such environment, based on results of this study, if such breeding program is to be implemented, sensitization of smallholder farmers (beneficiaries of the breeding program) to shift from their current system of management (extensive management) to at least semiintensive system of management is recommended for minimizing the effect of G x E interaction.
Application of an Optimized HPLC Method for the Detection of Various Phenolic Compounds in Apples from Lithuanian Cultivars

A specific analytical procedure including sample preparation and HPLC analysis was developed and validated for the detection of phenolic compounds in the samples of different apples from popular Lithuanian cultivars “Aldas,” “Auksis,” “Ligol,” and “Sampion. ” The conditions for phenol extraction were optimized: the solvent of the extraction was 70% (v/v) ethanol, and the extraction was performed in an ultrasound bath for 20 min at the temperature of 40°C. The HPLC mobile phase consisted of 2% (v/v) acetic acid in water and 100% (v/v) acetonitrile. Using the HPLC technique, 11 analytes were identified, and their specificity was confirmed: procyanidin B1, (
Gender differences in intention and relationship among factors of using Facebook for collaboration

In Taiwan, in an effort to reduce the cost associated with educational training, enterprises have started to resolutely introduce the use of Facebook to support collaboration as part of employee training. Unlike previous studies investigating the effectiveness of conventional learning, the purpose of this paper was to discuss how various factors interconnect to affect Taiwanese employees’ decisions regarding behavioral intention to use Facebook as support in collaborative learning situations. The expanded technology acceptance model (TAM) was applied. Employing structural equation modeling technology, the model was assessed using data collected from 385 participants by way of a survey questionnaire. Results show that social influence was the strongest factor influencing the use of Facebook to support collaboration and training adopting intention. Additionally, the findings also suggest that managers should anticipate that using Facebook to support collaboration in training may be perceived differently depending on the gender of the trainee, as we found that women are strongly influenced by co-workers and supervisors in these matters. Implications both in theory and practice are discussed, based on the findings. Key words: Facebook, technology acceptance model, collaboration, gender.
Career Development Strategies as Moderators Between Career Compromise and Career Outcomes in Emerging Adults

The authors surveyed 130 first-year university students (80% female; mean age 20.5) and assessed (a) the level of career compromise they reported between their ideal and enrolled university programs, (b) their career-related strategies, (c) their perceptions of employability, and (d) their career-related distress. The authors tested a model that proposed that career compromise would predict perceptions of employability and career distress and that the effects of compromise would be moderated by the career-related strategies. Two strategies, seeking career guidance and self-presentation, moderated the relationship between compromise and career distress. There was no moderated effect for perceptions of employability, although compromise was directly associated with these perceptions. Thus, while compromise may be a normal aspect of career development, it was associated with more career distress when career development strategies were low and associated directly with more negative employment perceptions. Practitioners might assist with career compromise by enhancing career development strategies.
Simultaneous estimation of covariance inflation and observation errors within an ensemble Kalman filter

Covariance inflation plays an important role within the ensemble Kalman filter (EnKF) in preventing filter divergence and handling model errors. However the inflation factor needs to be tuned and tuning a parameter in the EnKF is expensive. Previous studies have adaptively estimated the inflation factor from the innovation statistics. Although the results were satisfactory, this inflation factor estimation method relies on the accuracy of the specification of observation error statistics, which in practice is not perfectly known. In this study we propose to estimate the inflation factor and observational errors simultaneously within the EnKF. Our method is first investigated with a low‐order model, the Lorenz‐96 model. The results show that the simultaneous approach works very well in the perfect model scenario and in the presence of random model errors or a small systematic model bias. For an imperfect model with large model bias, our algorithm may require the application of an additional method to remove the bias. We then apply our approach to a more realistic high‐dimension model, assimilating observations that have errors of different size and units. The SPEEDY model experiments show that the estimation of multiple observation error parameters is successful in retrieving the true error variance for different types of instruments separately. Copyright © 2009 Royal Meteorological Society
Time-Delay Neural Network for Smart MIMO Channel Estimation in Downlink 4G-LTE- Advance System

Long-Term Evolution (LTE) is the next generation of current mobile telecommunication networks. LTE has a new flat radio-network architecture and significant increase in spectrum efficiency. In this paper, main focus on throughput performance analysis of robust MIMO channel estimators for Downlink Long Term Evolution-Advance (DL LTE-A)-4G system using three Artificial Neural Networks: Feed-forward neural network (FFNN), Cascade-forward neural network (CFNN) and Time-Delay neural network (TDNN) are adopted to train the constructed neural networks‟ models separately using Back-Propagation Algorithm. The methods use the information received by the received reference symbols to estimate the total frequency response of the channel in two important phases. In the first phase, the proposed ANN based method learns to adapt to the channel variations, and in the second phase, it estimates the MIMO channel matrix and try to improve throughput of LTE. The performance of the estimation methods is evaluated by simulations in Vienna LTE-A DL Link Level Simulator. Performance of the proposed channel estimator, Time-Delay neural network (TDNN) is compared with traditional Least Square (LS) algorithm and ANN based other estimators for Closed Loop Spatial Multiplexing (CLSM) Single User Multi-input Multi-output (MIMO-2×2 and 4×4) in terms of throughput. Simulation result shows TDNN gives better performance than other ANN based estimations methods and LS.
Biological neural architecture for chromatic adaptation resulting in constant color sensations

A multistage color model (De Valois, 1993) was modified and extended to a color appearance model of parvocellular foveal color vision realizing a chromatic adaptation inside a physiologically motivated fundamental color space. This results in prediction of color appearance of object colors under various states of adaptation. During the observation of several scenes there is an endeavour to move toward a steady state color-context independent model. By this way an average level of color sensation synonymous with constant color sensations is achieved.
An Analysis of Consumer Behavior in the Japanese IT Product Market: From the Perspective of Product Architecture

Due to network externality, certain standards tend to dominate in areas where compatibility does not exist among competing products. Nevertheless, certain trends are not easily explained by network externality alone. One example is the domestic PDA (Personal Data Assistant) market, in which the share of WindowsCE, most effectively linked with Windows-based PCs and supposedly the most advantageous in terms of network externalities, retains only a small market share, particularly among personal users. Kurimoto & Kobayashi (2004, 2005) have demonstrated that such cases can be explained by adding a perspective that accounts for flexibility of product configuration, such as customizability. This paper seeks to establish a framework in which to consider competitive strategies for IT products in general by applying methods of analysis developed for PDA market data to other product markets, focusing on what is known as product architecture - that is, how the product is configured and in what combinations the product is used.
Regulatory Bank Capital Ratios and Market Measures of Risk

This paper analyzes how bank capital ratios affect the safety of banks. The main finding is that higher capital ratios following Basel III significantly reduced risk for large European banks. Large banks with a higher capital ratio have a higher asset quality, a lower stock return volatility, and a lower contribution to systemic risk. These results indicate that Basel III has been effective in increasing the safety of the financial sector. The novelty of this paper is that it proposes a method to estimate a Tier 1 capital ratio that is not influenced by changes in the definition of capital, thus allowing for a better comparison of preand post-Basel III Tier 1 ratios. Using this new measure, this paper finds that banks have increased their Tier 1 ratio by 6 to 9 percentage points on average, compared to pre-crisis levels.
A critical evaluation of the conceptual model and empirical evidence for current cognitive behavioral approaches to post-traumatic stress disorder from a counseling psychology perspective

Recent innovations in post-traumatic stress disorder (PTSD) research have led to new and potentially significant psychological treatments. Parallel to that, new enhancements to empirically validated cognitive approaches have been identified. This paper aims to review the current literature and research evidence on cognitive-behavioral interventions for posttraumatic stress disorder. More specifically, the paper will examine the core principles of the most predominant theories informing trauma focused therapies, by providing an account and a critique, of the robustness and validity of each model. The review concludes with the claim that cognitive behavioral approaches do offer a coherent basis for the treatment of PTSD as evident by the plethora of multi-representational approaches to trauma; whilst their efficacy is being favoured by a rich body of research evidence. However, a number of methodological limitations related to randomized controlled trials (RCTs) and conceptual omissions that fail to capture the disorder in its entirety, point to the embracement of alternative approaches to PTSD such as psychodynamic and eclectic therapies, Catherine Athanasiadou-Lewis Affiliations: Senior Lecturer in Counseling Psychology, London Metropolitan University, Department of Psychology, School of social sciences, London, United Kingdom. Corresponding Author: Dr. Catherine Athanasiadou-Lewis, London Metropolitan University, School of social sciences, Room T6-20, Tower Building, 166-220 Holloway Road, London N7 8DB; E-mail: c.athanasiadoulewis@londonmet. ac.uk Received: 12 October 2016 Accepted: 12 January 2017 Published: 27 January 2017 which is in line with counseling psychology’s pluralistic ethos. Future research may wish to focus on exploring these claims further, by conducting a meta-analysis of outcome studies across all major therapeutic modalities.
Species Identification of Some Fish Processing Products in Iran by DNA Barcoding

This study pursued the molecular identification of fish species from processed products for human consumption which, a priori, belonged to nine species. DNA barcoding using direct sequencing of about 650 bp of the mitochondrial gene cytochrome oxidase subunit I (COI) revealed incorrect labeling in the three Alaska Pollack samples (11% of all samples). Substitution of fish species constitutes serious economic fraud, and our results increase concern regarding the trading of processed fish products in Iran from both health and conservation points of view.
Search procedures revisited

Search Procedures reﬂects on a series of studies carried out over a four year period in the late 1970s. It was published at an interesting time for Information Retrieval. Written before Information Retrieval became synonymous with online information seeking it focuses on Information Retrieval within Public Libraries, then the major location for everyday information seeking. While many of his contemporaries focused on information seeking in academic or special library settings, Peter chose instead to focus a setting that was visited by a more diverse set of people with a broader range of information needs.