Miracle-dz/UniFAR-FTUs huggingface dataset:
Foreword ! ! Application ! domains ! that ! entail ! planning ! and ! scheduling

In this paper we propose a functional integration of two well-known logistic problems arising at maritime container terminals. This integration approach is aimed at addressing the berthing operations at the seaside of a container terminal by considering the service time required to serve incoming container vessels in terms of the work plan of the quay cranes. Due to its relevance as practical application in real environments, our interest here is to provide an appropriate framework to optimize the usage of the technical equipment while improving the service of the vessels. The computational results suggest the suitable performance of our scheme in realistic maritime container terminals.
Cloning and Characterization of a Gene Encoding Ubiquitin Conjugating Enzyme from the Mangrove Species, Avicennia marina (Forsk.) Vierh.

Covalent attachment of ubiquitin has been implicated in mediating proteolysis of the cellular proteins by Ubiq­ uitin-proteasome pathway. Ubiquitin activating enzyme (EI), ubiquitin conjugating enzyme (E2), and ubiquitin pro­ tein ligase (E3) are the three enzymes involved in this process. This paper reports the isolation of a gene that codes for the ubiquitin conjugating enzyme in Avicennia marilla (AmUBC2), and regulation of its expression at RNA level under salt stress. Deduced amino acid sequence of AmUBC2 showed 96% identity with UBC2 of Arabidopsis thalialla and also 73-78 % identity with RAD6 DNA repair protein of Homo sapiens, Rattus llorvegicus, Caenorhabditis elegalls, Drosophila melallogaster, Arabidopsis thalialla and Saccharomyces cerevisiae. Multiple alignment analysis showed that the amino acid residues in the core region of UBC2 were highly conserved across different taxa in the evolution­ ar y hierarchy. While some ubiquitin conjugating enzymes were induced under salt, heat and heavy metal stress in different tissues in plants, Northern analysis in the present study has clearly shown that the expression of UBC2 is not induced by salt stress either in root or in leaf tissues in A. marilla. Southern hybridization of genomic DNA with gene-specific probe showed that AmUBC2 is a single copy gene.
Density-dependence in a population of Fucus distichus

Regulation of a Fucus djstichus L. emend. Powell population is probably mediated through a density-dependent mortality of the recruits. Blocks seeded with different densities of germlings of E distichusand cleared plots with naturally occurring recruits of different densities and with artificially thinned densities were used to monitor the effect of density on mortality and growth among recruits in a populat~on of F: distjchus in False Creek. Vancouver, British Columbia. Canada. In the first 2 mo of development, germlings on the high density blocks experienced a lower mortality than those on the low density blocks. At later stages (> 2 mo), the effect of density on mortality was reversed. Plants recruited into the cleared plots were > 1 mm in length and they also experienced a positive effect of density on mortality. In both the density blocks and cleared plots, plant mortality eventually became independent of plant density. Plant growth rate was generally not related to density but was related to plant size (length). There was a large variation in the sizes of the plants. All 3 measures of si7c inequality: zero-centered skewness, coefficient of variation, and Gini coefficient are significantly correlated. Plants in both the density blocks and cleared plots showed a slight tendency towards a more normal or positively skewed size distribution from fall 1986 to spring 1987, probably due to an increased mortality of the smaller plants during this time. The mechanism of dominance-suppression and difference in the intrinsic growth rate or timing of settlement probably all contributed to the inequality in size distribution.
A Hippocratic Oath for geologists

We argue here that the introduction of an ethical code of conduct that follows the example of the Hippocratic Oath of physicians will help geologists to acquire binding awareness of their professional and social responsibilities. The ethical behavior and obligations of modern geologists involve, but are not limited to, the following issues: correct land/ environment use and management; respect of truth and science; and protection of the Earth systems, on both the local and global scales, and therefore, of our well-being. We believe that for geoligists, the explicit acceptance of an ethical code will help to promote: (i) an awareness of their social role, expertise and sense of belonging to a professional community; (ii) an understanding of the expectations of citizens and society; and (iii) cultural growth, with better use of research and implementation of scientific and professional skills. All this should enhance the public recognition of the social mission of geologists, which is essential for the well-being of society. Therefore, we suggest that like in the majority of medical schools, ethical training should be a part of the university curriculum for students in geology.
Small numbers matching markets: Unstable and inefficient due to over-competition?

The extant literature on matching markets assumes ordinal preferences for matches, while bargaining within matches is mostly excluded. Central for this paper, however, is the bargaining over joint profits from potential matches. We investigate, both theoretically and experimentally, a seemingly simple allocation task in a 2x2 market with repeated negotiations. More than 75% of the experimental allocations are unstable, and 40% of the matches are inefficient (in cases where inefficiency is possible). By defining the novel concept 'altruistic core', we can explain the occurrence of inefficient matches as well as the significant behavioral differences among our six treatments.
Education and labour market outcomes in Romania

Education plays a central role in preparing individuals to enter the labour market, by offering them the opportunity to improve and increase their amount of knowledge, skills and abilities. Considering this aspect, the purpose of our study is to identify and analyse the relationship that exists between the educational stock, as a measure of the quality, quantity and availability of human resources, and the labour markets’ outcomes in Romania. In order to reach this goal, we have conducted an analysis of the secondary data offered by the specialized literature. These secondary sources included various statistical yearbooks and reports, as well as different scientific researches. The results of our study show that, in Romania, the level of education is positively linked not only to the employment rate but also to the income level.
Completion Reports Title Accumulation of Toxic Trace Elements in Evaporites in Agricultural Evaporation Ponds Permalink

Evaporation ponds are utilized to dispose of saline agricultural drainage waters where there are no surface drainage outlets to the San Joaquin River. Presently, 22 ponds in the San Joaquin Valley's west side are receiving about 32,000 acre-feet per year of tile drainage effluents and about 0.8 million tons per year of salt are being deposited. This project investigates the incorporation of potentially toxic trace elements (selenium, boron, arsenic, molybdenum) into evaporite minerals forming by desiccation of drainage waters. Over 50 samples of salt deposits (evaporites) obtained from seven ponds show that the predominant minerals are either halite (Ne Cl), thenardite (Na2S04) or mirabilite (Na2S04 • 10H20), reflecting the dominant dissolved mineral salts in the drain water. The highest selenium concentrations in evaporites were found in Peck pond, ranging from 3 to 33 mg/kg (ppm) with a mean value of 12 mg/kg for six samples. Evaporite samples from all other ponds contained a maximum selenium level of 1.8 mg/kg and mean value of 0.22 mg/kg or less. The values are well below the 100 mg/kg threshold level of selenium for wastes to be considered hazardous. The concentrations of boron in evaporites ranged from a low of 16 in Barbizon pond to as high as 975 mg/kg in Lost Hills pond. The mean concentration of boron in evaporites from seven ponds ranged from 73 to 690 mg/kg. There are no hazardous criterion for boron threshold level in waste solids. Laboratory studies indicate that association of boron with halite or mirabilite are influenced by both the nature of the salt crystal surface and the chemical species of boron. For example, boron association occurs mainly by surface adsorption on halite and by both surface adsorption and internal absorption (by diffusion into the crystal lattice) for mirabilite,
Role of Early Exposure to Domestic Violence in Display of Aggression among University Students

Childhood experiences determine adulthood personality. Witnessing violence in domestic and community setting may lead towards developing aggressive tendencies later. The present research was aimed to explore the relationship between witnessing domestic violence during childhood and aggression among university students. A sample of 310 university students (age range = 18-30 years) was approached through purposive convenience sampling method for this research. Urdu translated versions of Social Desirability Scale (Masood, 2014), Childhood Exposure to Domestic Violence Scale (Masood, 2014), and Aggression Questionnaire (Ashraf, 2004) were administered along with a detailed demographic sheet. Results showed significant positive correlation between witnessing domestic violence and aggression. Among all the intervening risk factors, the most significant predictor for aggression was found to be community violence exposure followed by home exposure to violence. Element of social desirability was controlled keeping in mind the sensitive nature of research. Implications, limitations, and suggestions for future research were also discussed.
A Survey on Link Prediction Problem in Social Networks

: Link prediction is a crucial task in analysis of online social networks. It can be used for friend recommendations in social networks. It also has applications in other areas like bioinformatics, information retrieval and e-commerce. Currently, variety of techniques is available to deal with link prediction problem, ranging from local feature based approaches to global feature based approaches. Some recent techniques combine the advantages of these two approaches and comes under hybrid category. all these methods differ from each other with respect to prediction performance in terms of accuracy, efficiency, and generalization ability. In this paper, we survey some representative link prediction techniques under each category. We largely consider three types of approaches. First category is of local feature based approaches which do not exploit the whole network structure. Second category is of global feature based approaches which use the overall path structure of a network. And, finally the hybrid approaches which combine the advantages of above two approaches (local and global) in computation of similarity scores between each pair of nodes in a network. We discuss some recent existing approaches corresponding to these broad categories and analyze their strength and weaknesses. We conclude the paper with discussion on recent developments and future research direction.
School of Computing 2010-0101 Exploring the Frontier of Uncertainty Space

We aim to investigate methods balancing exploitation with exploration in active learning to improve the performance of uncertainty sampling. Two exploration guided sampling methods are compared to uncertainty sampling on various real-life datasets from the 2010 Active Learning Challenge. Our initial experiments seems to indicate that combining exploration with uncertainty sampling improves performance on certain datasets but not all.
Rev Neuropsychol 017 ; 9 ( 4 ) : 219-27 Autobiographical memory in amnesia Mémoire autobiographique dans l ’ amnésie

Citing this paper Please note that where the full-text provided on King's Research Portal is the Author Accepted Manuscript or Post-Print version this may differ from the final Published version. If citing, it is advised that you check and use the publisher's definitive version for pagination, volume/issue, and date of publication details. And where the final published version is provided on the Research Portal, if citing you are again advised to check the publisher's website for any subsequent corrections.
"Inadequate Tranquility" as a Latent Form of Anxiety in Children and Adolescents

In the article school anxiety is considered as a component of school disadaptation and as a personal formation. The phenomenon of school disadaptation is getting more widespread nowadays, indicating that there is a disparity between students’ social, psychological and physiological status and the requirements of school environment. It is confirmed that there are 2 risk groups: manifestly anxious and latently anxious or inadequately tranquil children. Aggression is often a specific form of behavior in the case of hidden anxiety. The aim of the study is to find psychophysiological markers of hostility and anger in inadequately tranquil adolescents. The study involved 66 students (23 of them were included in the inadequately tranquil group) of 9th and 10th grades of Moscow secondary school, whose average age was 15.3±0.7 years old. We used Bass-Perry’s Aggression Questionnaire to assess levels of hostility and anger, and recorded EEG in Pz and ECG at rest with closed and open eyes. In the inadequately tranquil group anger correlated with the stress index, the index of autonomic balance, LF% and LF/HF ratio negatively and with HF and HF% positively. Hostility correlated with the stress index, the amplitude of maximum peak of alpha activity and LF% negatively and with HF% positively. Thus, in this group the tension of the regulatory system is not detected. However, over time the inadequate tranquility can change into manifest anxiety. This group requires further observation. In addition, aggression and hostility are seen as a coping strategy, that is realized by the students in order to regulate their condition and reduce mental stress in a stressful situation.
ADAPTIVE RECURRENT NEURAL NETWORK FOR REDUCTION OF NOISE AND ESTIMATION OF SOURCE FROM RECORDED EEG SIGNALS

In recording the EEG signals are often contaminated by a large of signals called artifacts such that the brain activity (source) difficult to estimate. There are different kinds of artifacts such as power line noise, electromyogram, electrocardiogram and electrooculogram. In this research, an adaptive recurrent neural network (ARNN) for estimation of source and reduction of noise from recorded EEG signals is proposed. In the experiment, the EEG signals are recorded on three conditions, which is normal conditions, closed eyes, and blinked eyes. After processing, the dominant frequency of the EEG signal is obtained in the range of 12-14 Hz either on normal conditions, closed eyes, and blinked eyes. The experimental results show that the ARNN method was effectively estimated the brain activity according to the given stimulus and remove the artifacts from all subjects.
Dilations, models, scattering and spectral problems of 1D discrete Hamiltonian systems

In this paper, the maximal dissipative extensions of a symmetric singular 1D discrete Hamiltonian operator with maxi- mal deciency indices (2 ; 2) (in limit-circle cases at 1 ) and acting in the Hilbert space l 2( Z ; C 2 ) ( Z := f0 ; 1 ; 2 ; ::: g) are considered. We deal with two classes of dissipative operators with separated boundary conditions both at 1 and 1: For each of these cases, we establish a self-adjoint dilation of the dissipative operator and construct the incoming and outgoing spectral representations. Then, it becomes possible to deter- mine the scattering function (matrix) of the dilation. Further, a functional model of the dissipative operator and its charac- teristic function in terms of the Weyl function of a self-adjoint operator are constructed. Finally, we show that the system of root vectors of the dissipative operators are complete in the
Essay on External Imbalances within the Euro Area

Current accounts of individual members of the Euro Area were not expected to dramatically diverge, however during the last decade they have sharply diverged as peripheral Member States are experiencing very high and unprecedented current account deficits. This paper tests the relationship in the medium and short run between the current account and i) Fiscal policy and ii) inward Foreign Direct Investment, two elements suggested as partial causes for the large external imbalances.
HIP – 2005 – 05 SOME TESTS OF PHYSICS BEYOND THE STANDARD MODEL

Quantum field theories are the basis of modern elementary particle physics. Our present understanding of both the smallest structures of matter and the composition of the universe is based on the quantum field theories, that present observable phenomena by describing particles as vibrations of fields. These fields are quantized, i.e. they get discrete values. The Standard Model of particle physics is a quantum field theory that combines electromagnetic, weak and strong interactions into a single gauge field theory. The Standard Model describes physics properly only to a certain upper limit of energy scale. This scale is of the order of the masses of the gauge fields (W, Z±). Beyond this electroweak scale the Standard Model must be modified. For example, the Standard Model cannot explain the quadratic divergences that plaque one of the particles of the theory (the Higgs boson). Because the valid model must be viable to the highest possible energy scale (Planck scale, 1019 GeV, which is determined as a scale where the gravity becomes relevant), there must necessarily be some new physics beyond the electroweak scale. In this dissertation I present some viable models that describe physics beyond the Standard Model. These include supersymmetric quantum field theories with specific supersymmetry breaking mechanisms, split supersymmetry and the model with large extra dimensions. I derive limits for parameters of these models and discuss the possibilities of finding evidence of these in future particle accelerators.
Fast multipole techniques for the simulation of very large three dimensional electromagnetic scattering problems

There is an increasing demand for algorithms that can calculate very large electromagnetic problems in a fast and efficient way, for example the detailed electric field distribution for indoor communication. In the past, fast multipole techniques have proven very successful at this. This research is about such techniques for three dimensional structures. The algorithms are developed in such a way that they are suitable for parallel computation. Typical multipole algorithms are suited either for the high frequent or low frequent domain. We intend to investigate broadband algorithms, which combine both regions. This opens the door for applications from the optical domain, over microwave ciruits, to EMC problems. At this moment, a versatile and performant high frequency version is already implemented which will be discussed here. Keywords—Computational Electromagnetics, Fast Multipole Method, Method Of Moments
A study on arsenic and copper extraction capacity of Spirodela polyrhiza from water

Heavy metals such as arsenic (As), copper (Cu), chromium (Cr), Hg, lead (Pb) and cobalt (Co) cause adverse effects on living organisms by their toxic nature. To remove heavy metals, a variety of conventional treatment technologies have been tested which are not economical and user friendly. So, natural remediation method such as phytoremediation is becoming more popular where plants are used. Phytoremediation is a cost effective and eco-friendly method. This paper accounts the study to exercise the phytoremediation potential of the aquatic plant Spirodela polyrhiza for arsenic and copper removal from water. To carry out the study, six plastic bowls each carrying 1 L distilled water were taken where arsenic and copper of known concentration was added for preparing a solution, which contained 1.0, 0.9, 0.7, 0.6, 0.5, and 0.3 mg/L of arsenic and 5.0, 4.6, 4.2, 3.8, 3.4 and 3.0 mg/L of copper. 50 g of S. polyrhiza plant was placed in water of each bowl. The concentration of arsenic and copper in water was measured by spectrophotometer using Silver diethyldithiocarbamate (SDDC) and Bicinchoninate methods, respectively and test was performed for 7 days after placing plants in solution. Gross effective floating period for S. polyrhiza was found 96 h up to initial concentration of 0.6 mg/L to treat arsenic contaminated water and 3.4 mg/L to treat copper contaminated water. The extraction capacity of S. polyrhiza was found more than 80% for all concentration of arsenic and more than 60% for all concentration of copper after 96 h. The removal of arsenic and copper was found to follow the first order kinetics except copper with initial concentration of 5.0 and 4.6 mg/L. Key words: Spirodela polyrhiza, phytoremediation, first order kinetic
Relationship between perceived costs, perceived benefits and knowledge sharing behaviour among lecturers in educational institution in Malaysia

Knowledge sharing behaviour has positive impact on individual innovation capability. However, since sharing knowledge is often unnatural, effective strategies and sufficient initiatives need to be deployed to ensure lecturers communicate their teaching experiences with others. This paper examines the extent of knowledge sharing amongst lecturers in an educational institution in Malaysia, and whether their knowledge sharing behaviour is influenced by their perceptions of costs-benefits in knowledge sharing. The analysis is based upon questionnaire surveys of lecturers (N=50) on their perception of costs and benefits motivation factors affecting their behaviour in sharing knowledge. While perceived benefits explained better orientation towards knowledge sharing, certain cost factors tended to restrict actual knowledge sharing. The article notes the influence of some perceived benefits dimensions in facilitating knowledge sharing behaviour in academic work setting. Recommendations on maximizing the influence of the related perceived benefits are also discussed.
Improved Science Assessments Using Student Perceptions

An instrument to assess secondary students’ perceptions of assessment was developed in a three-stage study. In the first stage, following a review of literature, a six-scale instrument was trialed with a sample of 470 students from grades eight, nine and ten in 20 science classrooms in three schools. Based on internal consistency reliability data and exploratory factor analysis, refinement decisions resulted in a five-scale instrument that was named the ‘Student Perceptions of Assessment Questionnaire’ (SPAQ). In the second stage, the SPAQ was used with five scales of the ‘What is Happening in this Class’ (WIHIC) questionnaire, an attitude scale, and a self-efficacy scale. This survey was administered to a sample of nearly 1,000 students from 40 science classes from the same grades as in the first stage. Statistical analyses confirmed the validity and reliability of the SPAQ. Based on the survey results exemplary teachers were identified. In the third and last stage interviews with teachers and students were conducted. The classes of these exemplary teachers were also observed.