Miracle-dz/UniFAR-FTUs huggingface dataset:
End-to-end modelling attempt in the North Sea to assess interactions of fishing and other human uses under climate change

The North Sea is an ecosystem subject to climate change and anthropogenic pressures, such as fishing and wind farms. These components impact marine environment. The aim is to understand and evaluate these interactions between the different impacts on marine organisms under climate change. To answer questions: what are the combined effects of fishing and climate, and what are the effects of space competition between uses? The application of the OSMOSE model in the North Sea is developed. OSMOSE is a spatial trophodynamic model, for which 15 species have been selected and modelled period and area. During the parameterization step, biological parameters and modelling choices are defined derived from literature and data analysis (such as catch, fishing effort). Climate variability is forcing by the ERSEM model which provides biomasses of low trophic levels. The new version of OSMOSE implements fishing by fisheries with fishing effort and catchability. Since calibration was unsuccessful, the results present some indicators from uncalibrated model simulations. The calibration allows (via scenarios) to highlight the sensitivity of the parameters in OSMOSE as well as the need for a parameter validation phase. A calibration test version could also be used to check the calibration algorithm. Finally, it would be interesting to be able to construct management scenarios reflecting the management strategies implemented and those to come. To assess the interactions between the impacts of fishing, wind turbines and climate.
Leadership Behaviors and Organizational Citizenship Behavior: The Mediating Role of Job Involvement

The study examined the effect of leadership behaviors (transformational (TFL) and transactional (TSL) on organizational citizenship behavior (OCB) while assessing the mediating role of job involvement. The investigation involved 209 employees from 45 different hospitality institutions (20 hotels, 10 guesthouses and 15 restaurants) in Accra, Ghana. Using multiple regression analysis, findings indicated that both leadership behaviors increase employees’ engagement in OCB in the Ghanaian hospitality industry. It further established that job involvement mediated between TSL behaviors and OCB. However, we did not find support for our argument that job involvement can mediate TFL and OCB. The implications of these results for theory and practice are discussed. JEL Classification: M12
Hybrid and constructive neural networks applied to a prediction problem in agriculture

The application of artificial neural networks to the solution of problems in agriculture is rarely seen. Motivated by their great potential for dealing with nonlinear prediction tasks, two neural network architectures are independently used to implement alternative tools with the goal of predicting soya production: a hybrid architecture, based on a composition of a Kohonen self-organizing map and a multilayer perceptron, and a constructive architecture, based on projection pursuit learning. Whenever a low harvest is anticipated by the prediction tool, from a set of data extracted at the beginning of the life cycle of the plant, the ultimate purpose is to employ techniques for the correction of the soil composition, aiming at reversing the scene. The output to be predicted is a nonlinear function of a high number of input variables, which prevents the adoption of conventional prediction strategies. The two prediction tools presented here can be directly applied to all prediction problems of similar complexity in other research areas.
A Computational Model Of Yoruba Morphology Lexical Analyzer

Morphological analyzers are essential parts of many natural-language processing system such as machine translation systems; they may be efficiently implemented as finite state transducers. This paper models a Yoruba lexical analyzer using a rule based approach to computational morphology. This analysis relies solely on one source of information: a dictionary of the valid Yoruba language words.
A compact reconfigurable slotted microstrip patch antenna using pin diode for wireless applications

A compacted (44 x 44 x 3.2 mm3) frequency reconfigurable microstrip antenna that uses electrical switching with PIN diodes is proposed for WiMAX (3500 MHz- 3910 MHz) and high frequency LTE (3500 MHz and 2600 MHz) band. The rectangular microstrip patch was at first designed to operate at the frequency of 3500 MHz as a central frequency and then reconfigured using two electrical PIN diodes placed symmetrically on slot etched at the end of the patch surface to cover further desired frequency applications. For state 1 (S1 = ON, S2 = ON), the designed antenna operates solely 3500 MHz suitable for both domestic LTE and WiMAX. For state 2 (S1 = OFF, S2 = OFF), the antenna covers further 2600 MHz for LTE and (3850 MHz – 3910 MHz) for WiMAX. The proposed antenna is designed and simulated using HFSS licensed software. Simulation results show the max gain produced by the antenna is 7.4 dBi with a radiation efficiency of 98% and a maximum bandwidth of 180 MHz.
A Mediated Moderator of Interpersonal Curiosity on Social Support, Social Exclusion and Social Adjustment: A University-Based Perspective

There are a lot of people surfed in adjustment problems in the social life. In order to explore the reasons, this research studied the relationship between social support, interpersonal curiosity, social exclusion and social adjustment. This study was aimed to explore the effect of social support and interpersonal curiosity on the relationship between social exclusion and social adjustment among Chinese undergraduates. There were 667 participants (371 female and 269 male) from 3 colleges, who completed the Social Exclusion Questionnaire for Undergraduate, Social Support Questionnaire, China College Student Adjustment Scale (CCSAS), and Interpersonal Curiosity Scale (IPCS). The result showed that the social exclusion is significant negatively related to social support and social adjustment, social support is positively related to social adjustment, and interpersonal curiosity is significantly positive related to social support and social adjustment. These findings imply that social support can mediate the negatively relationship from social exclusion to social adjustment, and interpersonal curiosity can moderate the negative relationship from social exclusion to social support. In a word, it was quite important to increase interpersonal curiosity to reduce the negative relationship from social exclusion to social support, and maintain the level of social support in order to improve the undergraduates’ social adjustment.
Sensing tomato’s pathogen using Visible/Near infrared (VIS/NIR) spectroscopy and multivariate data analysis (MVDA)

Quality of agricultural products is a very important issue for consumers as well as for farmers in relation to price, health and flavour. One of the factors that determine the quality is the absence of pathogens that can cause diseases for products and also for consumers. An advanced method to sense pathogens and their antagonists is the use of Visible/Near Infrared (VIS/NIR) spectroscopy. In this paper, the VIS/NIR spectroscopy, with the help of two techniques of multivariate data analysis (MVDA); namely principal component analysis (PCA) and support vector machine (SVM)-classification; showed very reliable results for sensing two artificially inoculated fungi (Fusarium oxysporum f. sp. Lycopersici and Rhizoctonia solani), and two antagonistic bacteria (Bacillus atrophaeus and Pseudomonas aeruginosa). The two fungi cause loss of quality and quantity for tomatoes. The results showed that the lowest classification rates using VIS/NIR spectroscopy for pathogens, antagonistic and their combinations were 90%, 85% and 74%, respectively. These results open a wide range for using VIS/NIR spectroscopy sensor technology for agricultural commodities quality at quality control checkpoints.
Computation of tasks modeled by directed acyclic graphs on distributed computer systems: allocation without subtask replication

The problem of optimally allocating the subtasks of computational tasks modeled by directed acyclic graphs on distributed systems with identical processors is considered. Branch-and-bound and heuristic algorithms are developed for solving the optimization problem of minimizing the system response time. The heuristics attempt to minimize interprocessor communication costs while balancing the processor load. An upper bound is derived for the error in the solution computed by the heuristic algorithms, and the performance of all algorithms is evaluated. Results presented indicate that the heuristic algorithms can provide fast and accurate solution approximations. <<ETX>>
Malay continuous speech recognition using continuous density hidden Markov model

This thesis describes the investigation of the use of Continuous Density Hidden Markov Model (CDHMM) for Malay Automatic Speech Recognition (ASR). The goal of this thesis is to solve the constraints of current Malay ASR that are: speaker-dependent, small vocabulary and isolated words, and provides a basis in developing speaker-independent (SI) Malay large vocabulary continuous speech recognition (LVCSR). Hidden Markov Model (HMM) based statistical modeling is used in Malay speech recognition. HMM is a robust and powerful technique capable of modeling of speech signals. With their efficient training algorithm (Baum-Welch and Viterbi/Segmental K-mean) and recognition algorithm (Viterbi), as well as itâ€™s modeling flexibility in model topology, observation probability distribution, representation of speech unit and other knowledge sources, HMM has been successfully applied in solving various tasks in this thesis. CDHMM which model the continuous acoustic space eliminates quantization error imposed by discrete HMM. CDHMM performs better than discrete HMM in Malay speech recognition. CDHMM with mixture densities which is capable to model inter-speaker variability performs well in multi speaker task (99% in isolated words task). The result expects its well performance in SI task in the future. A connected words ASR is developed and evaluated on Malay connected digit task and has achieved reasonably good accuracy with limited training data. Segmental K-mean training procedure is proven to perform better than the manual segmentation. The sub-word unit modeling is attempted in Malay phonetic classification and segmentation on medium vocabulary Malay continuous speech database. Experiments are conducted to investigate different feature set and mixture components. The knowledge of continuous ASR architecture and sub-word unit modeling gained in this work has provided basis for Malay LVCSR. For conclusion, the basic idea of HMM implemented in other language domain can be successfully applied in the Malay language domain as well.
Non-Intrusive Appliance Load Identification Based on Higher-Order Statistics

This paper presents a new method based on Higher-order Statistics for non-intrusive residential electrical load identification. Basically, the proposed method extracts cumulants of second and fourth order from the electric current signal of the residential electrical loads and presents these cumulants to a previously trained artificial neural network for classification. The neural network output identifies the residential electric load class of the processed signal. This study considered eleven different classes of residential electrical loads. Results were carried out from experimental electric signals and the achieved overall performance was over to 97%.
Online Scheduling System for Server Based Personnel Rostering Applications

In the recent time many software applications have web based character. It means that the computer of the user is used as a terminal while the application is running on a server. Nevertheless, the server may be a bottleneck of the application from the performance point of view. All data manipulations and all computations are processed there and if the server is overloaded it usually causes slow reactions of the application measured by response time of the server. Moreover, if the server process non-trivial requests like solving a combinatorial problem, e.g. personnel rostering [1], the performance of the server is significantly worse. In this case the incoming requests must be carefully scheduled in order to efficiently exploit available computational resources and to minimize the system response time. In this paper we consider a server based personnel rostering application where many users send their requests at the same time. To solve the requests the server uses a heterogeneous grid, i.e. a collection of computer resources such that each one has different speed. A single request of a user is called task which has to be mapped and solved on a computer resource. Tasks are instances of combinatorial optimization like personnel rostering, personnel rerostering etc. The tasks are usually solved by anytime algorithms. It means that if the algorithm is interrupted earlier (but not before the minimal execution time) the solution is a valid solution to the problem, however its quality in terms of
The Maintenance of Association Rules using Adjusting Frequent Pattern List

The main aim of this paper is to present a novel approach about how to maintain the Frequent Pattern List (FPL) to carry out the incremental association rules mining of dynamic database. The basic operations to maintain the FPL we propose are including: deletion of nodes, addition of nodes, swapping of nodes and the merge of FPLs. We only have to afford the only one scan of the update database when the new transactions are added to the original database or some deletions of transactions are intended to. And then by performing the basic operations of FPL, we can generate the updated FRL. Further more, reusing the information which survived from the original database to achieve the incremental association rule mining, rather than to rescan the original database.
DETERMINATION OF APPROACHES OF TEACHERS TO INFORMATION AND COMMUNICATION TECHNOLOGIES: IMPLEMENTATION OF TECHNOLOGY ACCEPTANCE MODEL TO MALATYA, DARENDE

The changing and developing educational methods and techniques give priority to the technology based education and learning methods. Both the students and their teachers react to these developments and methods that have emerged in the last 25 years and there is a limit to the literature that evaluates the way they perceive these methods. The purpose of this research is to show teachers' tendency to use information technology and to use information and communication approach by using Technology Acceptance Model (TAM). By doing this our goal is to find out whether technological development is used effectively in a productive way or not. On the other hand, as a result of this study our aim is to understand the feelings and expectations of teachers while they are using technological devices. In the study, 143 teachers working in the province of Darende in Malatya answered the survey and the results were analyzed and we tried to determine the attitude, perception style and how they used this technology in accordence with the participants' responses to the use of Information and Communication Techniques. Consequently, according to the answers given to the survey, while there is a significant relationship between the perceived usefulness and the facilitating situations and the variables, on the other hand there is not a significant relationship between the types of schools that teachers are working and the perceived attitudes towards the use of information technology in the formation of behavior.
DATA HOARDING AND INFORMATION CLUTTER: THE IMPACT ON COST, LIFE SPAN OF DATA, EFFECTIVNESS, SHARING, PRODUCTIVITY AND KNOWLEDGE MANAGEMENT CULTURE

Data clutter is all around us. This may apply to the computer you are reading this on or your employer’s data warehouse or collection center. What makes us data hoarders? For some, this may be as basic as not knowing what information is needed, the fear of removing collected data because at one time it served a purpose, or having relevant data but not knowing what to do with it. Similar to the land of the lost file cabinets, data sits in a file waiting to be discarded, taking up virtual space. For others, the answer is more complex. Cost, effectiveness, life span of data, who shares the data or information, productivity and knowledge management culture, may all play a part in the answer. The purpose of this study is to explore the reasons why people hoard data and the impact the hoarding plays in relation to business culture. Findings show the areas of business most affected by data hording are cost, lifespan of data, effectiveness, sharing, productivity, and knowledge management.
A Precise and Robust Segmentation-Based Lidar Localization System for Automated Urban Driving

Real-time and high-precision localization information is vital for many modules of unmanned vehicles. At present, a high-cost RTK (Real Time Kinematic) and IMU (Integrated Measurement Unit) integrated navigation system is often used, but its accuracy cannot meet the requirements and even fails in many scenes. In order to reduce the costs and improve the localization accuracy and stability, we propose a precise and robust segmentation-based Lidar (Light Detection and Ranging) localization system aided with MEMS (Micro-Electro-Mechanical System) IMU and designed for high level autonomous driving. Firstly, we extracted features from the online frame using a series of proposed efficient low-level semantic segmentation-based multiple types feature extraction algorithms, including ground, road-curb, edge, and surface. Next, we matched the adjacent frames in Lidar odometry module and matched the current frame with the dynamically loaded pre-build feature point cloud map in Lidar localization module based on the extracted features to precisely estimate the 6DoF (Degree of Freedom) pose, through the proposed priori information considered category matching algorithm and multi-group-step L-M (Levenberg-Marquardt) optimization algorithm. Finally, the lidar localization results were fused with MEMS IMU data through a state-error Kalman filter to produce smoother and more accurate localization information at a high frequency of 200Hz. The proposed localization system can achieve 3~5 cm in position and 0.05~0.1° in orientation RMS (Root Mean Square) accuracy and outperform previous state-of-the-art systems. The robustness and adaptability have been verified with localization testing data more than 1000 Km in various challenging scenes, including congested urban roads, narrow tunnels, textureless highways, and rain-like harsh weather.
VIOLÊNCIA CONTRA AS MULHERES IDOSAS: O PESO DAS ASSIMETRIAS DE GÉNERO NA IDADE AVANÇADA

No presente artigo parte-se da analise de um conjunto de vulnerabilidades da populacao idosa em Portugal, em particular das mulheres mais velhas, dando-se conta das assimetrias de genero que agravam o seu risco de exposicao a varios tipos de abusos e violencias. Evoca-se o debate teorico acerca da definicao do conceito de abusos de idosos e da sua explicacao, mobilizando-se, em particular, as teorias feministas que dao conta da relevância da categoria de genero para a interpretacao dos processos de dominacao e de desigualdade que afetam as mulheres na idade avancada. Conclui-se, o artigo com a apresentacao de um conjunto de evidencias empiricas ilustradoras das referidas assimetrias de genero no abuso e violencia. Palavras - chave: Abuso de mulheres idosas; violencia de genero; assimetrias de genero
Offensive and defensive efficacy among male and female elite foil fencers

Fencing is a combat sport, where beyond physical and physiological demands, strategy and tactics are crucial factors in order to identify fencers’ performance. Fencers’ tactical movements can be separated in preparatory actions and final actual offensive (attacks) and defensive (parries and counterattacks) actions. The aim of this study is to analyse the tactical choices of elite male and female qualifiers foil fencers in finals and semi-finals bouts of the 2016-17 FIE (International Fencing Federation) competitions. Attacking and defending points were recorded, compared with the type of point, the section thrusts were landed and the time period they were noted. The present study revealed significant difference between offensive and defensive efficacy in both male (p < .003) and female fencers (p = .019). Male fencers showed greater activation than women (p = .003), finishing their bouts much earlier (p = .000), since they needed less time to accomplish an actual action (p = .001). In conclusion, male could be characterized as ‘’permanently pressing’’ fencers, while female adopted a ‘’manoeuvring-attacking’’ style, since male fencers had greater percentage of total actions on the middle section of the piste (p = .011) and female fencers had greater number of defending actions on the back section (p = .033), respectively.
Nyquist filters in non-ISI transmission

By expressing the frequency response of a Nyquist filter as a convolution of two functions, the mathematical complexity required to find the impulse response of the filter is reduced. Moreover, more efficient Nyquist filters than the popular Raised Cosine filter (i.e. wider 3 dB bandwidth, same absolute bandwidth, and shorter or same length impulse response) are generated by using well known Window functions such as Ramming and Blackman.
How Do People Re-find Files, Emails and Web Pages?

Recent research suggests that a preference for navigation by folder to re-find files endures notwithstanding dramatic improvements in support for search as an alternate method of return. This paper describes a study that confirms this finding for files but that observes a distinctly different pattern of preference for re-finding email messages. After a delay of 2 to 4 weeks, search was the most common first choice for the return to email messages. A third, compound method was predominant for the return to Web information: The use of character-by-character “auto-complete” search was frequently followed by a hyperlink navigation to reach a targeted web page. Results point to the need for an integrated support of search and navigation methods during re-finding attempts. Results also suggest that support for re-finding begins with support for the initial “keeping” of information. Finally, results affirm two basic tenets of personal information management (PIM): 1. The need to consider multiple forms of information. 2. The need to consider a PIM activity such as re-finding within a larger context that includes other activities of PIM and considers the life cycle of personal information.
Developmental directions in parallel accelerators

Parallel accelerators such as massively-cored graphical processing units or many-cored co-processors such as the Xeon Phi are becoming widespread and affordable on many systems including blade servers and even desktops. The use of a single such accelerator is now quite common for many applications, but the use of multiple devices and hybrid combinations is still very unusual. The main barrier to greater uptake of multiple accelerators in applications is still the software ecosystem and in particular the interoperability limitations of setting up appropriate software stacks for novel accelerator combinations. We present some benchmark results for various multiple and hybrid accelerator combinations using some up to date modern devices and discuss feasible developmental directions for high computational performance scientific applications software to use them. We compare results with equivalent benchmarks on conventional multi-cored CPUs.