Miracle-dz/UniFAR-FTUs huggingface dataset:
One-handed interface for multitouch-enabled real-time strategy games

Historically, real-time strategy video games, such as Starcraft (Blizzard Entertainment, 1999) and Command and Conquer (Westwood Studios, 1995), were intended to be played on desktop or laptop computers, with interfaces that afford the user dozens of keys and key combinations, mouse gestures including clicking and dragging, and several mouse buttons to further complicate the interface while allowing customization and a wide range of possibilities for the user. On a mobile multi-touch platform, there are constraints of limited visual real estate, shared with the touch command interface. Further constraints are presented when considering accessibility for players desiring one-handed operation. Game accessibility is a topic with a growing need, as those with disabilities are often unable to use commerciallyavailable games due to user interface restrictions. To date, there has not been a significant commercial effort to enhance the usability of strategy games’ touch interfaces by removing redundancies and tailoring the game commands to these multi-touch devices – especially for use with only one hand. In this paper, we present a rapidly-prototyped user-centered design in a ten-week project of a real-time strategy user interface native on the iPad. The contributions of this project are the ability of the user to use one hand to interact with the system, a multi-touch interface design, and the ability to cancel orders. We confirm the effectiveness of the user interface using one hand with a pilot study. Although we hoped to create a universally accessible user interface for a real-time strategy game for the iPad, we found that it is impossible to separate the user interface from a polished game with real features.
Money and Costly Credit

evidence. Compared to an economy without credit, allowing credit as a means of payment has three implications: [1] it lowers money demand at low to moderate inflation rates; [2] it improves society's welfare when the inflation rate exceeds a specific threshold; and [3] it can raise the welfare cost of inflation for some reasonable values of the credit cost parameter.
Death and the Social Network

We analyze profiles and associated comments on social network sites following the death of the user to suggest two novel approaches to death and computing. Using the dead as examples of “extreme users”, we develop recommendations for design of Web2.0 applications that consider the importance of intersubjectivity in online identity construction and management, and the ubiquity of technospiritual practices.
The Students' Perceptions on Blended Learning: A Q Method Analysis.

The purpose of this study was to reveal the students’ perceptions on blended learning through the Q method. The originality of the research stems from determining whether the students have a general tendency towards the blended learning process and evaluating the whole process through identifying its prominent components. The research data was compiled through the Q-Sort and the judgemental statements created by the researchers from 31 students attending the 3rd and 4th classes of the Faculty of Education during the 2016-2017 academic year. The data analysis ascertained that the students were in affirmative consensus on blended learning and the prominent components of the process were listed as teaching staff, face-to-face classes, student roles and the features of online course materials. The findings obtained were discussed within the frame of the relevant literature and the suggestions were made on blended course design.
Materiality and the Digital Future of Inscription

In his 1981 essay “Hypogram and Inscription,” Paul de Man sets out to unravel certain claims and assumptions of formalist poetics through a reading of the prosopopeiac poem by Victor Hugo, “Written on the Pane of a Flemish window” (1837). Where formalist critics such as Michel Riffaterre vaunted this poem’s fi gurative, descriptive powers, de Man delves into the hidden import of Hugo’s epigraph-title: Écrit sur la vitre d’une fenêtre fl amande. Although this poem’s lyric pyrotechnics create quite a phantasmatic impression on the reader, de Man stresses that the only real, textual event of this poem is its title that draws attention to the material substrate (alphabet etched in glass) necessary for any writing. De Man gestures toward writing’s otherwise transparent medium, the “unseen crystal” across which and into which its code is written. Lyric promises of lively, absorptive interfaces with readerly phenomenality are systematically dismantled by de Man as hallucinations that wither and disintegrate while material inscription’s implacable logic inorganically proliferates. Dismembering these lyrical operations, de Man performs an “undoing of the phenomenality of language” that equally entails “the undoing of cognition and its replacement by the uncontrollable power of the letter as inscription” (1986, 37). As Jonathan Culler has noted of de Man’s larger program to deconstruct aesthetics, this “formal materialism of the letter” or “prosaic materiality of inscription, is the letter considered nonteleologically.not as sign but as blank or mark of whose signifi cance one cannot be assured” (2007, 95). I propose that this nonassured, nonteleological mark or theory of inscription in de Man’s criticism links in a subterranean way with those “systems of formalization and notation rigorous enough to be patterned on the model of mathematical language” that he fi nds at the
The Assessment of Behavioural Attributes and Mind-set of Participants in Government Workforce Innovation and Entrepreneurship Programs: A Feasibility Study

Copyright: © 2018 Aragon R, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The Assessment of Behavioural Attributes and Mind-set of Participants in Government Workforce Innovation and Entrepreneurship Programs: A Feasibility Study
Fermentation of Soy Milk via Lactobacillus plantarum Improves Dysregulated Lipid Metabolism in Rats on a High Cholesterol Diet

We aimed to investigate whether in vitro fermentation of soy with L. plantarum could promote its beneficial effects on lipids at the molecular and physiological levels. Rats were fed an AIN76A diet containing 50% sucrose (w/w) (CTRL), a modified AIN76A diet supplemented with 1% (w/w) cholesterol (CHOL), or a CHOL diet where 20% casein was replaced with soy milk (SOY) or fermented soy milk (FSOY). Dietary isoflavone profiles, serum lipids, hepatic and fecal cholesterol, and tissue gene expression were examined. The FSOY diet had more aglycones than did the SOY diet. Both the SOY and FSOY groups had lower hepatic cholesterol and serum triglyceride (TG) than did the CHOL group. Only FSOY reduced hepatic TG and serum free fatty acids and increased serum HDL-CHOL and fecal cholesterol. Compared to CHOL, FSOY lowered levels of the nuclear forms of SREBP-1c and SREBP-2 and expression of their target genes, including FAS, SCD1, LDLR, and HMGCR. On the other hand, FSOY elevated adipose expression levels of genes involved in TG-rich lipoprotein uptake (ApoE, VLDLR, and Lrp1), fatty acid oxidation (PPARα, CPT1α, LCAD, CYP4A1, UCP2, and UCP3), HDL-biogenesis (ABCA1, ApoA1, and LXRα), and adiponectin signaling (AdipoQ, AdipoR1, and AdipoR2), as well as levels of phosphorylated AMPK and ACC. SOY conferred a similar expression profile in both liver and adipose tissues but failed to reach statistical significance in many of the genes tested, unlike FSOY. Our data indicate that fermentation may be a way to enhance the beneficial effects of soy on lipid metabolism, in part via promoting a reduction of SREBP-dependent cholesterol and TG synthesis in the liver, and enhancing adiponectin signaling and PPARα-induced expression of genes involved in TG-rich lipoprotein clearance, fatty acid oxidation, and reverse cholesterol transport in adipose tissues.
Synthesis and Characterization of Natural Extracted Precursor Date Palm Fibre-Based Activated Carbon for Aluminum Removal by RSM Optimization

The Powder-Activated Carbon (PAC) under optimum conditions from a new low-cost precursor Date Palm Fibre (DPF) biomass through a carbonization followed by KOH activation has been synthesized by response surface methodology (RSM) combined with central composite design (CCD). The special effects of activation temperature, time, and impregnation ratio on bio-PAC Aluminum (Al3+) removal and uptake capacity were examined. The optimum conditions for synthesized bio-PAC were found to be 99.4% and 9.94 mg·g−1 for Al3+ removal and uptake capacity, respectively at activation temperature 650 °C, activation time 1h and impregnation ratio 1. The optimum bio-PAC was characterized and analyzed using FESEM, FTIR, XRD, TGA, BET, and Zeta potential. RSM-CCD experimental design was used to optimize removal and uptake capacity of Al3+ on bio-PAC. Optimum conditions were found to be at bio-PAC dose of 5 mg with pH 9.48 and contact time of 117 min. Furthermore, at optimized conditions of Al3+ removal, kinetic, and isotherm models were investigated. The results reveal the feasibility of DPF biomass to be used as a potential and cost-effective precursor for synthesized bio-PAC for Al3+ removal.
A robust wind turbine control using a Neural Network based wind speed estimator

Modern wind turbines are capable to work in variable speed operations. These wind turbines are provided with adjustable speed generators, like the double feed induction generator. One of the main advantage of adjustable speed generators is that they improve the system efficiency compared to fixed speed generators because turbine speed is adjusted as a function of wind speed to maximize output power. In this sense, to implement maximum wind power extraction, most controller designs of the variable-speed wind turbine generators employ anemometers to measure wind speed in order to obtain the desired optimal generator speed. In this paper a Neural Network based wind speed estimator for a wind turbine control is proposed. The design uses a feedforward Artificial Neural Network (ANN) to implement a wind speed estimator. In this work, a sliding mode control for variable speed wind turbines is also proposed. The stability analysis of the proposed controller is provided under disturbances and parameter uncertainties by using the Lyapunov stability theory. Finally simulated results show, on the one hand that the proposed control scheme using an ANN estimator provides high-performance dynamic characteristics, and on the other hand that this scheme is robust under uncertainties that usually appear in the real systems and under wind speed variations.
Improving Medical Decision Making by Self Organizing Intelligent Systems

Early and accurate diagnosing of various diseases has proved to be of vital importance in many health care processes. In recent years intelligent systems have been often used for decision support and classification in many scientific and engineering disciplines including health care. However, in many cases the proposed treatment, prediction or diagnose can differ from one intelligent system to another, similar to the real world where different medical specialists may have different opinions. Indeed, in real world specialists' opinions complement one another and when integrated they usually form a better solution. Our novel idea presented in this paper is to mimic this real world situation in the manner to merge different opinions generated by different intelligent systems using the self organizing abilities of cellular automata. We empirically show that classification cellular automata combining many various methods for classifier construction eventually outperforms single classifiers and conventional integration methods in terms of accuracy and class accuracy.
Retina-specific expression of 5A11/Basigin-2, a member of the immunoglobulin gene superfamily.

PURPOSE 5A11/Basigin has recently been identified as a critical glycoprotein for full maturity and function of the mouse retina. However, the biological function of 5A11/Basigin has yet to be determined. Previous reports indicate the presence of multiple 5A11/Basigin polypeptides within the retina. Therefore, in an effort to determine the function of 5A11/Basigin, the molecular diversity of its expression was evaluated. METHODS Northern blot and immunoblot techniques were used to evaluate the number of forms of 5A11/Basigin in the mouse retina. cDNA cloning, using a mouse retina library or RT-PCR from rat, chicken, zebrafish, and human retina, was performed to determine the sequence of 5A11/Basigin transcripts. A peptide was generated, based on the deduced amino acid sequence, for subsequent antibody production. Localization of 5A11/Basigin expression was evaluated by immunoblot, immunohistochemistry, and real-time RT-PCR. RESULTS Two 5A11/Basigin transcripts of approximately 1.5 kb and approximately 1.8 kb, which correspond to glycosylated proteins of approximately 45 and approximately 55 kDa, respectively, were identified in mouse retina. The shorter form was previously cloned. However, the longer form, a splice variant of mouse 5A11/Basigin, is a member of the immunoglobulin gene superfamily and has been named 5A11/Basigin-2. Homologous transcripts were also cloned from rat, chicken, zebrafish, and human retina. 5A11/Basigin-2 expression was limited to the retina, specifically to photoreceptor cells, where it appeared to be most concentrated in the inner segments. CONCLUSIONS The specific and limited expression of 5A11/Basigin-2 explicitly within photoreceptor cells implies that this glycoprotein plays a fundamental role within the retina. However, its role remains to be determined.
Lessons Learned from Surveillance of Antimicrobial Susceptibilities of Pseudomonas aeruginosa at a Large Academic Medical Center †

This research report assessed the differences in resistance rates and antimicrobial usage-versus-susceptibility relationships of Pseudomonas aeruginosa found in various hospital patient care areas. A simplified case control study was also performed to identify patient-specific risk factors associated with cefepime-resistant P. aeruginosa isolates. Last, we determined the consequence of combining mucoid and non-mucoid derived antimicrobial susceptibilities of P. aeruginosa into hospital antibiograms. Overall, susceptibility rates remained lower in the intensive care units (ICUs) compared to the non-ICU patient care areas, except for cefepime over the last time period. Cefepime utilization and antimicrobial-resistance rates among P. aeruginosa isolates had a significant relationship. Decreased meropenem exposure was associated with lower resistance rates relative to cefepime. Risk factors independently associated with cefepime-resistant P. aeruginosa were structural lung disease, ICU admission, recent third generation cephalosporin use, frequent hospital admission and non-urine isolates. Large and statistically significant differences were observed between non-mucoid and combined percent susceptibility data for aminoglycosides. To control antimicrobial resistance and optimize initial empiric antimicrobial therapy, antimicrobial susceptibility and utilization patterns in specific patient care areas should be monitored and risk factors for antimicrobial resistance should be assessed. Mucoid strains of P. aeruginosa should not be included into antimicrobial susceptibility data as this may underestimate activity of most antipseudomonal agents.
Nature contact and mood benefits: contact duration and mood type

ABSTRACT There is robust evidence that contact with the natural world improves human health, including emotional well-being. However, the specific conditions of emotional benefits of nature contact are sparsely understood. Two studies were conducted with university students to examine whether the duration of nature contact influences the magnitude of benefits for both hedonic (positive and negative affect) and self-transcendent emotions. Study 1 investigated whether 5 minutes of sedentary nature contact influenced both emotion types, and Study 2 examined whether mood improvements are sensitive to the duration of nature contact (5 vs. 15 minutes). Results indicate that brief nature contact reliably improved both hedonic and self-transcendent emotions, and that the duration of contact in the range tested had no impact on this improvement.
Energy concept-based nonlinear stabilization and control for Modular Multilevel Converters for voltage oscillation reduction

The Interconnection and Damping Assignment Passivity-Based Control (IDAPBC) is applied phase-independently to the Modular Multilevel Converter (MMC) in order to overcome “dqo”-based control problems. In addition, an equilibrium point estimator is proposed to determine the time-varying equilibrium state of the MMC needed as input for the non-linear controller. This control strategy provides global robust stabilization of the MMC against variations on both its AC and DC sides. The control + estimator strategy combines both the state-space and energy dynamics models of the MMC.
Comparison of thematic maps using symbolic entropy

Comparison of thematic maps is an important task in a number of disciplines. Map comparison has traditionally been conducted using cell-by-cell agreement indicators. More recently, other methods have been proposed that take into account not only spatially coincident cells in two maps, but also their surroundings or the spatial structure of their differences. The objective of this article is to propose a framework for map comparison that considers (1) the patterns of spatial association in two maps, in other words, the map elements in their surroundings; (2) the equivalence of those patterns; and (3) the independence of patterns between maps. Two new statistics for the spatial analysis of qualitative data are introduced that are based on the symbolic entropy of the maps. As well, all inferential elements to conduct hypothesis testing are developed. The framework is illustrated using real and simulated maps.
Wolbachia and the insect immune system: what reactive oxygen species can tell us about the mechanisms of Wolbachia–host interactions

Wolbachia are intracellular bacteria that infect a vast range of arthropod species, making them one of the most prevalent endosymbionts in the world. Wolbachia’s stunning evolutionary success is mostly due to their reproductive parasitism but also to mutualistic effects such as increased host fecundity or protection against pathogens. However, the mechanisms underlying Wolbachia phenotypes, both parasitic and mutualistic, are only poorly understood. Moreover, it is unclear how the insect immune system is involved in these phenotypes and why it is not more successful in eliminating the bacteria. Here we argue that reactive oxygen species (ROS) are likely to be key in elucidating these issues. ROS are essential players in the insect immune system, and Wolbachia infection can affect ROS levels in the host. Based on recent findings, we elaborate a hypothesis that considers the different effects of Wolbachia on the oxidative environment in novel vs. native hosts. We propose that newly introduced Wolbachia trigger an immune response and cause oxidative stress, whereas in coevolved symbioses, infection is not associated with oxidative stress, but rather with restored redox homeostasis. Redox homeostasis can be restored in different ways, depending on whether Wolbachia or the host is in charge. This hypothesis offers a mechanistic explanation for several of the observed Wolbachia phenotypes.
Symmetric Cryptosystems and Symmetric Key Management

Since the earliest days of necessity for secret transmission of messages, which date back to thousands years BCE, different methods have been used to transfer the message between two parties. These days, systematic ways for transmitting secret information are used, and the fear of cracking the message is increasing with the development of breaking algorithms for different encryption techniques. The systematic way of encrypting and decrypting a message is summarized in the definition of a cryptosystems.
On binary switching finite networks

We call a finite graph G = (V, E) a binary network if the state set of its nodes has only two elements,say, 0 and 1, representing respectively 'OFF' and 'ON' state. A switch at node v switches both the state of v and the state of each of its neighbors. It is shown in [1] that given any initial state of a network of order n >; 3, we can always reach at a consistent status, i.e., either all the nodes are ON or all are OFF. In this paper we consider a more general problem: Given a subset S ⊂ V , can we reach to a state such that the state of each node within S is 1(or 0) while the states of nodes outside S is another? We present some sufficient conditions for some specific S that satisfies this condition.
An Enhanced Jamming Attack Detection Using Bittrickle Methodology

When target devices are transmitting a reactive jammer jams the wireless channel; Reactive jamming is harder to track and compensate against the constant jamming methods. Frequency Hopping Spread Spectrum (FHSS) and Direct Sequence Spread Spectrum DSSS) have been widely used against Jamming attacks. If high power transmitter or frequency channel is jammed then both these method will fail. We use broad band and high power reactive jammer to avoid jamming attacks. In this proposed method we use bit trickle method to avoid jamming. Bit Trickle is a method which is used to find attackers when using broadband communication between transmitter and receiver. Users having secret key to access the data from anti jammer. Once the security key is correct then only the transmission occurs.
The Difference Degree of Condition Attributes and Its Application in the Reduction of Attributes

The attribute reduction based on rough set usually reflects the essence of information table and it is the key content of rough set theory. With the analysis of the difference degree between equivalence classes or tolerance classes based on rough set theory, a measure for the importance of attributes was introduced. And based on the measure, a method of the reduction of attributes was proposed and a corresponding reduction algorithm was designed. This method is applicable to a complete information system and incomplete information system. In the algorithm, the measure was used as heuristic factor to find a reduction subset. And also, the approximation quality of classification was applied to evaluate the quality of the reduction subset. Finally, test and comparison results show that the proposed method is feasible.
Political Shades of ‘we’: sociotropic uncertainty and multiple political identification in Europe

ABSTRACT Identity complexity in the sense of people holding multiple, concurrent affiliations, is taken for granted in modern societies. Yet we know very little about what factors stimulate or instead mitigate identification with multiple political communities. It is usually assumed to go hand-in-hand with globalization and other macro-level trends, but empirical research on this issue is scarce. In this article, we examine how sociotropic uncertainty mitigates multiple political identification. We investigate multiple identification with respect to three political communities: the city, the country and the EU. We show, using Eurobarometer data from 25 EU countries, that political distrust, negative economic expectations and societal pessimism all lead individuals to identify with less political communities concurrently. The implication is that the kinds of multiple, cross-cutting identities often invoked by theorists of globalization are hindered by uncertainty and pessimism about the enterprise.