Miracle-dz/UniFAR-FTUs huggingface dataset:
Design, construction and operation of a membrane- and mediator-less microbial fuel cell to generate electrical energy from artificial wastewater with a concomitant bio-remediation of the wastewater.

Microbial fuel cell (MFC) technology presents great potential for use as a dual system for industrial waste water remediation and electricity generation. The hurdle in up-scaling this technology has been identified as MFC-bioreactor architecture, both with regards to bioremediation and carbon source to electricity conversion rates. In addition to the latter’s limitations, the use of expensive mediators and membrane to enhance MFC performance renders the technology uneconomic to employ industrially. A 60mm high double chamber membrane and mediator-less MFC-bioreactor was designed, and constructed. The novel MFC-bioreactor made of transparent polyacrylic plastic had a total working volume of 8 litres with the anode chamber situated at the bottom and the cathode chamber at the top separated by a 10cm deep artificial membrane made up of glass wool, glass beads and marble balls. The MFC was operated under various operating parameters including; feeding modes (batch and continuous), with different substrate concentration at a range of external resistance (100-9000Ω) . The voltage produced during MFC operation was monitored and used to estimate the power density output of the MFC. The pseudo membrane was able to sufficiently separate the anode and cathode chambers allowing the development of potential difference and hence generation of current. The MFC demonstrated the potential for sustainable operation by producing and maintaining a stable power density of 2000mW/m when operated with an external resistance of 1000Ω. This power density was accompanied by a 73% remediation efficiency of the synthetic wastewater. It was concluded that the results of this research show proof of concept for a membrane-less MFC that can produce electrical energy in the absence of an electron shuffling mediator.
Zero Sound Propagation in Femto-Scale Quantum Liquids

Charge equilibration has been recognized as a dominant process at the early stage of low-energy heavy-ion reactions. The production of exotic nuclei is suppressed under the appearance of charge equilibration, in which the proton-neutron ratios of the final reaction products are inevitably averaged. Therefore charge equilibration plays one of the most crucial roles in the synthesis of chemical elements. Focusing on how and when the charge equilibration takes place, zero sound propagation in femto-scale quantum liquids is explained.
Rotaviruses interact with α4β7 and α4β1 integrins by binding the same integrin domains as natural ligands

Group A rotaviruses are major intestinal pathogens that express potential α4β1 and α4β7 integrin ligand sequences Leu–Asp–Val and Leu–Asp–Ile in their outer capsid protein VP7, and Ile–Asp–Ala in their spike protein VP4. Monkey rotavirus SA11 can use recombinant α4β1 as a cellular receptor. In this study a new potential α4β1, α4β7 and α9β1 integrin ligand sequence, Tyr–Gly–Leu, was identified in VP4. It was shown that several human and monkey rotaviruses bound α4β1 and α4β7, but not α9β1. Binding to α4β1 mediated the infectivity and growth of monkey rotaviruses, and binding to α4β7 mediated their infectivity. A porcine rotavirus interacted with α4 integrins at a post-binding stage to facilitate infection. Activation of α4β1 increased rotavirus infectivity. Cellular treatment with peptides containing the α4 integrin ligand sequences Tyr–Gly–Leu and Ile–Asp–Ala eliminated virus binding to α4 integrins and infectivity. In contrast, rotavirus recognition of α4 integrins was unaffected by a peptide containing the sequence Leu–Asp–Val or by a mutation in the VP7 Leu–Asp–Val sequence. VP4 involvement in rotavirus recognition of α4β1 was demonstrated with rotavirus reassortants. Swapping and point mutagenesis of α4 surface loops showed that rotaviruses required the same α4 residues and domains for binding as the natural α4 integrin ligands: mucosal addressin cell adhesion molecule-1, fibronectin and vascular cell adhesion molecule-1. Several rotaviruses are able to use α4β7 and α4β1 for cell binding or entry, through the recognition of the same α4-subunit domains as natural α4 ligands.
Bystander effect of oncothermia

Metastatic form of malignant tumor diseases is the most serious problem in oncology and the greatest challenge in tumor therapy. Conventional therapeutical approaches (surgery, irradiation, and chemotherapy) cannot manage this challenge in oncological practice. According to our theory, oncothermia treatment-induced immunogenic tumor cell death can be a very good basis for immunotherapy combination to make systemic tumor control from a local tumor destruction effect. We summarize the molecular basis of the oncothermia treatment-induced immunogenic cell death as a necessary basic condition to achieve the bystander effect.
Moving Beyond “Dance, Dress, and Dining” in Multicultural Canada

The mainstream curriculum is extremely efficient in furthering a neoliberal multicultural discourse, what is described as the dance, dress, and dining, or heroes and holidays, or Taco Tuesday approaches to diversity. Given this, doing anything else is an ongoing challenge. This paper shares details of a government-university-school collaboration in which the authors were participants in a national project to digitize ethnic group archives and create lesson plans based from those archives. The authors share insights and challenges about what worked for resisting the “zoo” approach.
Iris Recognition Under Partial Occlusion Based on Non-negative Sparse Representation Classification

To improve the reliability and accuracy of personal identification based on iris under partial occlusion, this paper proposed a non-negative dictionary sparse representation and classification scheme for iris recognition. The non-negative dictionary includes the Log-Gabor feature dictionary extracted from normalized iris image. The use of Log-Gabor makes the occlusion dictionary compressible, and can reduce the computational cost. Experiments on UBIRIS iris database demonstrated the effectiveness of the proposed Log-Gabor based non-negative sparse representation classification. Keywords-iris recogniton; sparse representation;partial occlusion; non-negative; log-gabor feature
Impact of hydropeaking on hyporheic invertebrates in an Alpine stream (Trentino, Italy)

The impact of repeated hydropeaking events was assessed in the Alpine stream Noce Bianco (Trentino, NE Italy). Three stations were selected, one upstream and two at 0.25 km and 6 km downstream from a hydropower plant which causes 7-fold discharge increases. We collected hyporheic invertebrates for two years. Taxa diversity and abundance were reduced in the impacted sites, especially affecting the stygobites, which were significantly less abundant at the impacted sites, whereas stygoxene invertebrates increased exponentially. Repeated hydropeaking events alter the physical-chemical characteristics of the hyporheic habitat, resulting in the recorded faunistic pattern. The deposition of the fine sediment transported by the turbinated water downstream of the power plant and the absence of natural peak floods which remove fine sediments, probably cause a reduction of the interstitial space interstitial habitat available to stygobitic taxa. Surface water natural thermal regime is altered by the hypolimnetic discharges, and such alterations propagate into the hyporheic, affecting the stenothermic taxa. Some benthic taxa used the hyporheic habitat as a refuge to avoid catastrophic drift during hydropower production operation. The main trophic roles represented in the hyporheic assemblages do not support an important role for biological interactions such as predation in determining the fine-scale patchiness of the hyporheos.
Estimation of Interfacial Tension in Mixtures of Linear Hydrocarbons and Immiscible Organic Liquids with Water by Dissipative Particle Dynamics (DPD)

Petroleum systems have a high level of complexity due to the presence of a huge variety of organic compounds, mainly hydrocarbons. These characteristics, not only make difficult its recovery but also its study. In this sense, the study of parameters, such as the local variation of interfacial tension (IFT) is essential to understanding the behavior of different interfaces that arise through the extraction, transport and oil refining processes. Accordingly, in the present study, theoretical estimations of IFTs of linear-hydrocarbon-water, linear-hydrocarbon-glycerol, and mixtures of 11 types of organic-liquid with water were performed. The system elements were built by using coarse-graining technique and the dynamics were carried out by the Dissipative Particle Dynamics (DPD). With this technique was possible to reproduce, in a systematic way, an important set of IFT values for systems of oil industrial interest, which reproduced trends obtained from experimental analogous conditions.
Evaluating Quasi-Monte Carlo (QMC) algorithms in blocks decomposition of de-trended

The length of equal minimal and maximal blocks has eected on logarithm-scale logarithm against sequential function on variance and bias of de-trended uctuation analysis, by using Quasi Monte Carlo(QMC) simulation and Cholesky decompositions, minimal block couple and maximal are founded which are minimum the summation of mean error square in Horest power.
Distance Measurement System using A Stereo Camera and Radial Pattern Target for Automatic Berthing Control

In this paper, we propose a distance measurement system for automatic berthing control using a stereo camera mounted on a rotation control device, and a radial pattern target. Automatically controlling the position and attitude of a ship aims to prevent maritime accidents due to human error. Our goal is to measure the relative distance between a ship and an onshore or offshore target for berthing. Therefore, the distance should be continuously measured while tracking a fixed point on a target. To this end, we developed a stereo camerabased distance measurement system that satisfied these requirements. This paper describes the structure and principle of the measurement system. We validate the distance error for target incline due to the relative position and attitude between a camera and a target in miniature scale. In addition, the findings of an experiment in an outdoor environment demonstrate that the proposed measurement system has accuracy within 1 m at a range of 20-100 m which is the acceptable accuracy for automatic berthing.
Comprehensive comparison of analytical wind turbine wake models with wind tunnel measurements and wake model application on performance modelling of a downstream turbine

Wake effects in wind farms can cause significant power losses. In order to reduce these losses layout and control optimization can be applied. For this purpose, simple and fast tools to predict the wake flow are needed. In the first part of this work, six analytical wind turbine wake models are compared to extensive small-scale turbine wind tunnel measurements. The measurements are conducted at several downstream distances, varying the ambient turbulence intensity and the upstream turbine blade pitch angle. Furhermore, an adjustment of a recently developed wake model is proposed. Subsequently, the adjusted model is found to perform best throughout all test cases. In the second part, this wake model is used to predict the performance of a downstream turbine. In order to consider the nonuniform inflow velocity a mean-blade-element-velocity method is developed. Additionally, this method is compared to a simple method, which averages the velocity over the entire rotor area. Moreover, a Blade Element Momentum method with guaranteed convergence [1] and blockage effect correction [2] are applied. Finally, the simulations are compared to comprehensive wind tunnel measurements. In total, this approach is found to predict the wake velocity as well as the combined power of two aligned turbines fairly well.
Dissipation of Propamidine Fungicide Residues in Greenhouse Tomato

A method of reverse phase high performance liquid chromatography (RP-HPLC) was established to analyze the dissipation of propamidine residue in tomato. Residue of propamidine was extracted from tomato using methanol buffered and determined by RP-HPLC with UV detection at 262 nm. The results showed that the average recoveries of the samples fortified with propamidine at the concentration range of 25 to 300 mg kg-1 ranged from 87.972 to 106.341% with a relative standard deviation ranged between 0.169 to 3.503%. Initial deposit ranged from 2.45 to 5.70 mg kg-1. The dissipation of propamidine in tomato followed the first order kinetic equation. The dissipation rate constants in tomato treated with recommended and double recommended dose applied at 4 times and 2 times ranged from 0.110 to 0.151 days, and the corresponding half-lives from 4.589 to 6.300 days. At the day 14 after the last application the residue concentrations of propamidine in tomato ranged from 0.42 to 0.54 mg kg-1 from the two blocks for all treatments. These propamidine residues dissipated below the limit of detection of 0.07 mg kg-1 28 days after the last treatment. The results presented in this work and the low toxicity of propamidine for environment proved that propamidine will not pose any residual toxicity problem after 14 days of application and tomato fruits could be used safely for human consumption.
The Danish Housing Market: Less Subsidy and more Flexibility

While Denmark has fairly flexible labour and product markets in most respects, the housing market stands out with large direct and indirect subsidies for all types of housing and a highly regulated rental market hindering mobility, probably resulting in a mismatch between housing needs and use. In the current housing policy framework there is quite a contrast between the well-functioning market for transactions of owner-occupied housing (supported by the highly liberalised mortgage market) and the highly regulated rental housing market. This paper assess the recent development in Danish house prices, followed by a discussion of ways of replacing the costly government intervention in the Danish housing market with more market-based mechanisms, thereby achieving policy objectives in a more efficient and targeted way. The paper reviews the main areas for reform, including overall subsidisation of housing, rent regulation, social housing, and how housing supply could be made more responsive. Le marche du logement au Danemark: moins de subventions et plus de souplesse Alors que les marches du travail et des produits sont dans l'ensemble assez souples au Danemark, le marche du logement se distingue par le nombre important de subventions directes et indirectes pour tout type de logements et un marche de la location tres regule qui est un frein a la mobilite, ceci ayant sans doute pour consequence une disparite entre les besoins en logements et ce qui est disponible. Dans le cadre de la politique de logement actuelle, il existe une difference flagrante entre le marche des logements occupes par leur proprietaire, qui fonctionne bien (soutenu en cela par un marche hypothecaire tres liberalise), et un marche locatif tres controle. Ce document analyse les developpements recents dans le domaine des prix des logements au Danemark, puis examine les moyens permettant de remplacer l'intervention couteuse de l'Etat sur le marche du logement danois par des mecanismes davantage axes sur le marche, et d'atteindre ainsi les objectifs des pouvoirs publics d'une maniere plus efficace et plus ciblee. Ce document traite des reformes a mener, notamment la question des multiples aides publiques au logement, la regulation des loyers, les logements sociaux ainsi que la maniere d'accroitre l'offre.
Relationship between Students' Personality Traits and their Academic Achievement in Khyber Pakhtunkhwa, Pakistan

Theoretical framework of this study based on Big Five Personality Trait Theory (Cattell’s & Eysenck’s 1973). Objectives of the study were: i) to find out different personality traits (as described in five factor theory) of secondary school students. ii) to identify the relationship between students different personality traits and their academic achievement iii) to give recommendations to improve the situation and for further research. Descriptive survey design was used for this study. All the secondary school students of Khyber Pakhtunkhwa, Pakistan constituted population of the study. Out of 25 districts 2 districts were randomly selected (Bannu & Lakki Marwat). Out of 12009 students who were studying in the secondary schools of these districts 800 students of 10th class were selected through multistage random sampling method using proportional allocation technique as a sample of the study. A self developed questionnaire was used as a research instrument. Personally collected data was entered in SPSS-16. Percentage, Mean, Standard Deviation and Pearson Product Moment Correlation were applied as statistical test to achieve the objectives of the study. Results of the study revealed that “conscientiousness” and “agreeableness” personality traits were found high while “extroversion”, “neuroticism” and “openness to experience” personality traits were found low in secondary school students. Overall there was no significant relationship found between the students’ personality traits and their academic achievement. The researcher recommended that students having contentiousness personality trait can produce better result in Maths and Islamic Education subjects. So the students having contentiousness personality trait should take Maths and Islamic Education as optional subjects to produce better result. Students having agreeableness personality trait can produce better result in English, Islamiyat Compulsory, Chemistry and Islamic Education subjects. So the students having agreeableness personality trait should take English, Islamiyat Compulsory, Chemistry and Islamic Education as optional subject to produce better results. Seminars/workshop may be arranged for students and teacher about personality traits and their impact on students’ academic achievement.
A Discriminative Statistical Model for Digital Image Forgery Detection

The headway of modern technology and facility to use processing software leads to tamper and implicate of digital images. This tampering is being performed without leaving any a clear effect noted with the naked eye. The discrimination between different authentic and forged images can be based on its Probability Density Functions (PDFs). This paper introduces a new model for digital image forgery detection. This framework has two main phases; training and testing. In the training phase, the peak is calculated for the derivatives histogram of the illumination components by using homomorphic filter to separate the illumination components on each image. Firstly, the derivative of illumination histogram for authentic and forged images is calculated then the PDFs are estimated for authentic and forged images, finally the threshold is determined. In the testing phase, the determined threshold is tested with realistic dataset followed by using the selected bins for feature calculation in the prediction process. In the final prediction step, a detection and decision process is performed to obtain performance of the new model. This new model is provided a very effective performance. Different color image contrast systems RGB and HIS are studied and utilized for testing our model and compare between each channel for two systems to estimate performance and obtain more sensitive channel.
A Review of Supervisor-Subordinate GuanXi Conceptual, Measurement Issues, and Relative Study Conclusions

S upervisor-Subordinate GuanXi (SSG) is a new research direction in the study of the relationship between superior and subordinate within the organization, and because of its appropriateness in Chinese context, this concept is increasingly becoming a hot area of research. However, since this theory is still in the early stage of development, a further understanding on the content, measurement issues and other research conclusions of SSG is needed. Based on the literature review, this paper will make a commentary on the domestic and overseas research outcomes of SSG from the following three aspects specifically: the content of SSG; the structure and measurement of SSG and the empirical research findings of SSG, and finally point out the shortage of current research and direction for future study of SSG.
Relationship between small-scale catch-per-unit-effort and abundance in New Zealand abalone (p ¯ aua, Haliotis iris) fisheries

Catch-per-unit-effort (CPUE) is commonly used as an index of abundance in fishery stock assessments, but CPUE may be misleading, as a number of global fishery collapses have been attributed to a hyperstable CPUE. In abalone (Halitidae family) fisheries, CPUE at large spatial scales may be hyper-stable because of aggregating behaviour and serial-depletion, whereby fishers sequentially fish areas with no corresponding decline in CPUE. Obtaining detailed spatial information in abalone fisheries might mitigate this problem, allowing CPUE to be used more confidently in these fisheries. Here, we report on the use of newly-developed high-resolution Global Positioning System (GPS) data loggers in New Zealand’s blacklip abalone (p ¯ aua, Haliotis iris) fisheries. Using these data loggers, we tested, via a fish-down experiment, if CPUE is a reliable indicator of abundance at a small spatial scale and over a period of months. In the experiment, hyper-stability at small spatial scales occurred at high abundance, but CPUE reflected the estimated depletion level at the end of experimental fishing. This experiment suggests that the GPS data loggers provide a promising avenue to track CPUE at a small spatial scale, and to assess spatial resource use in New Zealand’s p ¯ aua fisheries.
Framework of Competitor Analysis by Monitoring Information on the Web

Competitor Analysis (CA) is an important part of the strategic planning process. By spying every move of the competitors offers a company an advantageous position in decision making. With the advent of World-Wide-Web technology, many businesses extend their activities to the Internet platform, from online marketing to customer services, thereby left over traces of valuable information for competitor analysis. The scattered information can be collected from the Web for studying what the competitors are doing and what products and services they offer up-to- date. In the past CA was conducted manually and it was a tedious process. The sources of such Web information are diversified and the contents are updated frequently too. It is therefore desirable to build an efficient and automated tool that gathers competitor information, monitors the updates and formulates them into useful competitor intelligence with minimum human intervention. Although many information retrieval and monitoring technologies have been developed, they are more for generally tracking changes and downloading the whole websites for offline browsing. In this paper, a framework of automated competitor analysis is proposed as a holistic solution. It is a Web monitoring tool that works for both Web 1.0 and Web 2.0. The designs of the components and the operational challenges are discussed respectively. Index Terms—competitor analysis; Web information; Information system design