Miracle-dz/UniFAR-FTUs huggingface dataset:
Pre-service teachers’ computer competencies, perception of technology use and attitudes toward teaching career

The purpose of this study is to identify the relationship between pre-service teachers’ computer competencies, the perception of technology use and the attitudes toward teaching career. This study based on a survey method and the participants consist of 106 pre-service teachers from the department of elementary education and social sciences education at Ahi Evran University Faculty of Education . One of results is that the participants think that they have a higher level of computer competencies. Another result is that although the participants from elementary education have a higher perception of computer competency than do the participants from social science education, but this result is found statistically insignificant. The pre-service teachers’ belief on the positive effects of technology in teacher education is found high for both departments. The perception of pre-service teachers on technology use is generally positive. This positive perception level affects the attitude toward teaching career positively. As the pre-service teachers level of computer literacy the positive attitude toward technology use gets higher.
SDN based ICN architecture for the future integration network

As the number of users exponentially grows in the 5G mobile wireless environment, mobility support, flexibility reaction and integration are the major changes for the future satellite and terrestrial integrated network. Information-centric networking (ICN) and software defined networking (SDN) are considered to be the promising techniques to solve these problems. In this paper, a SDN-based ICN architecture for the satellite terrestrial integration network is proposed to achieve seamless communication and provide assured quality of service (QoS). Particularly, the features characterized the proposed architecture, advantages and the challenges when ICN and SDN are applied to the future satellite and terrestrial integrated network are discussed.
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine 1404 Gene regulation by different proteins of TGFβ superfamily

Maturi, V. 2018. Gene regulation by different proteins of TGFβ superfamily. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine 1404. 50 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-513-0172-3. The present thesis discusses how gene regulation by transforming growth factor β (TGFβ) family cytokines is affected by post-translational modifications of different transcription factors. The thesis also focuses on gene regulation by transcription factors involved in TGFβ signaling. The importance of the poly ADP-ribose polymerase (PARP) family in controlling gene expression in response to TGFβ and bone morphogenetic protein (BMP) is analyzed first. PARP2, along with PARP1, ADP-ribosylates Smad2 and Smad3, the signaling mediators of TGFβ. On the other hand, poly ADP-ribose glycohydrolase (PARG) removes the ADP-ribose from Smad2/3 and antagonizes PARP1 and PARP2. ADP-ribosylation of Smads in turn affects their DNA binding capacity. We then illustrate how PARP1 and PARG can regulate gene expression in response to BMP that signals via Smad1, 5. Over-expression of PARP1 suppressed the transcriptional activity of Smad1/5. Knockdown of PARP1 or over-expression of PARG enhanced the transcriptional activity of BMP-Smads on target genes. Hence our data suggest that ADP-ribosylation of Smad proteins controls both TGFβ and BMP signaling. I then focus on elucidating novel genes that are regulated by ZEB1 and Snail1, two key transcriptional factors in TGFβ signaling, known for their ability to induce EMT and cancer metastasis. Chromatin immunoprecipitation-sequencing (ChIP-seq) and targeted whole genome transcriptomics in triple negative breast cancer cells were used, to find binding regions and the functional impact of ZEB1 and Snail1 throughout the genome. ZEB1 binds to the regulatory sequences of a wide range of genes, not only related to cell invasion, pointing to new functions of ZEB1. On the other hand, Snail1 regulated only a few genes, especially related to signal transduction and cellular movement. Further functional analysis revealed that ZEB1 could regulate the anchorage-independent growth of the triple negative breast cancer cells, whereas Snail1 could regulate the expression of BMP6 in these cells. We have therefore elucidated novel functional roles of the two transcription factors, Snail1 and ZEB1 in triple negative breast cancer cells.
Hands on music: physical approach to interaction with digital music

Mobile users listen to large digital music libraries with thousands of songs. Browsing such libraries in mobile contexts is difficult due to constraints of the context and devices. We explore the usage of physical interaction with digital music to overcome these limitations. Our solution is to utilize the physical orientation of a mobile device as a tool for exploring music. We focus on allowing users to manage their music for easier mobile access. We present a novel bimanual interaction method for mapping items from a music library into different orientations of the mobile device. An experiment was conducted to test our prototype, focusing on efficiency and impact on users' ability to recall locations of items in the mapping. The interaction method was found to be significantly faster than using a touch screen without the mobile device. Subjectively users valued the bimanual method in ease of use, efficiency, and pleasantness.
An efficient combination of dispatch rules for job-shop scheduling problem

This paper presents new combination of dispatch scheduling for job shop scheduling problem. The job shop scheduling problem is one of the NP hard optimization problems, and it is difficult to obtain the exact optimal solution. Scheduling methods based on the dispatch rule are a set of efficient approximate methods. In this paper, by combining several dispatch rules, we have proposed three new rules. The first rule is the rule that combines two simple dispatch rules which are often adopted in actual production systems. The proposed rule gives better result than that of any single dispatch rule. The second rule is the rule that keeps balance of remaining load of all machines. In this rule, the weight is decided in early stage of the schedule. It gives good solutions with high probability. The third rule is the rule that predetermines the mixing ratio, which accompanies a sequence of operations. This rule often gives better results than any other dispatch rules.
Injury Mortality Rates in Native and Non-Native Children: A Population-Based Study

Objectives. To examine injury mortality rates in Native and non-Native children in the province of Alberta, Canada, over a 10-year period, temporal trends in injury mortality rates (Native vs. non-Native), as well as relative risks of injury mortality (Native vs. non-Native) by injury mechanism and intent, were calculated. Methods. An observational, population-based study design was used. Mortality data were obtained from provincial vital statistics, with injury deaths identified using external injury codes (E-codes). The relative risk (RR) of injury mortality (Native vs. non-Native) along with 95% confidence intervals (CIs) were calculated. Stratified analyses and Poisson regression modeling were used to calculate adjusted relative risk. Results. Injury mortality rates declined over the study period, with no difference in the rate of decline between Native and non-Native children. The adjusted relative risk for all-cause injury death (Native vs. non-Native) was 4.6 (95% CI 4.1 to 5.2). The adjusted relative risks (Native vs. non-Native) by injury intent categories were: unintentional injuries, 4.0 (95% CI 3.5 to 4.6); suicide, 6.6 (95% CI 5.2 to 8.5); and homicide, 5.1 (95% CI 3.0 to 8.5). Injury mortality rates were consistently higher for Native children across all injury mechanism categories. The largest relative risks (Native vs. non-Native) were pedestrian injury (RR=17.0), accidental poisoning (RR=15.4), homicide by piercing objects (RR=15.4), and suicide by hanging (RR=13.5). Conclusion. The burden of injury mortality is significantly greater in Native children compared with non-Native children. Therefore, injury prevention strategies that target both intentional and unintentional injuries are needed.
A new phase-locked loop method for three-phase system

Stability and rapidity of phase angle detection in grid synchronization system is very important, especially when grid voltage is under adverse conditions. This paper presented a fast direct calculation phase-locked loop (FDC-PLL) method which can detect phase angle directly from the corresponding relationship between the absolute value of grid voltage and the phase angle. And the d-q conversion is not needed in FDC-PLL. Moreover, when gird voltage is unbalanced or distorted, the positive-sequence fundamental component (PSFC) of grid voltage is extracted through double second order generalized integrator (DSOGI), and phase angle is calculated by using PSFC. As a consequence, the effectiveness and feasibility of the presented PLL algorithm is verified by simulations and experiments.
Denial of Service (DoS) attacks detection in MANETs through statistical models

Mobile ad-hoc networks (MANETs) are well known to be vulnerable to various attacks, due to features such as lack of centralized control, dynamic topology, and limited physical security. Denial of Service attacks still represent a serious threat for wireless networks. These attacks not only consume the system resources but also isolate legitimate users from the network. Grayhole attack is one of these attacks, which occurs when a malicious node drop some of received data packets during the route discovery process. To detect this attack, we propose in this paper a novel approach based on two Bayesian classification models: Bernoulli and Multinomial. Several tests have been performed using NS2 simulator. Our filters prove that intentionally dropping packets can be fully detected with a low-level of false alerts.
A qualitative study of quality of life after stroke: the importance of social relationships.

BACKGROUND Stroke is a leading cause of long-term disability in the USA; however, we have an incomplete understanding of how stroke affects long-term quality of life. METHODS We report here findings from focus groups with 9 long-term stroke survivors and 6 caregivers addressing patients' post-stroke quality of life. RESULTS Key themes identified by patients were: social support, coping mechanisms, communication, physical functioning and independence. Role changes in patients were important to caregivers. Much of the discussion with patients and caregivers described specific ways in which the stroke altered social relationships. CONCLUSION These findings are consistent with prior research indicating the importance of social factors to quality of life following stroke. Our findings suggest that measures of stroke-related quality of life should include assessment of social function and social support.
Diversity in Managing Knowledge: A Cultural Approach

This paper reviews diversity in knowledge management (KM) from a cultural perspective; it argues that culturally embedded theories and practices influence the practice of knowledge management. It further presents and analyses several case studies and in particular a case study of the Islamic culture focusing on its traditional approach to both Islamic knowledge and management. The analysis of this case reveals the cultural challenges that emerge in the process of applying essentially Western management theories within an Islamic culture with particular reference to knowledge management theories. The paper concludes that the concept of knowledge management must take into account the diversity of national culture in which the organization exists and that the concept of knowledge management will benefit from a diversity perspective rather than a universality perspective.
Enhanced group II intron retrohoming in magnesium-deficient Escherichia coli via selection of mutations in the ribozyme core

Significance Mobile group II introns are bacterial retrotransposons. They consist of an autocatalytic intron RNA (“ribozyme”) and an intron-encoded reverse transcriptase and were likely ancestors of spliceosomal introns and retroelements in eukaryotes. Although active in bacteria, group II introns function inefficiently in eukaryotes, where lower Mg2+ concentrations decrease their ribozyme activity and constitute a natural barrier to group II intron proliferation within nuclear genomes. By using an Escherichia coli Mg2+-transport mutant, we selected mutations near the intron RNA’s active site that enhance group II intron function at low Mg2+ concentrations. Our results have implications for ribozyme mechanisms, evolution, and biotechnology. Mobile group II introns are bacterial retrotransposons thought to be evolutionary ancestors of spliceosomal introns and retroelements in eukaryotes. They consist of a catalytically active intron RNA (“ribozyme”) and an intron-encoded reverse transcriptase, which function together to promote RNA splicing and intron mobility via reverse splicing of the intron RNA into new DNA sites (“retrohoming”). Although group II introns are active in bacteria, their natural hosts, they function inefficiently in eukaryotes, where lower free Mg2+ concentrations decrease their ribozyme activity and constitute a natural barrier to group II intron proliferation within nuclear genomes. Here, we show that retrohoming of the Ll.LtrB group II intron is strongly inhibited in an Escherichia coli mutant lacking the Mg2+ transporter MgtA, and we use this system to select mutations in catalytic core domain V (DV) that partially rescue retrohoming at low Mg2+ concentrations. We thus identified mutations in the distal stem of DV that increase retrohoming efficiency in the MgtA mutant up to 22-fold. Biochemical assays of splicing and reverse splicing indicate that the mutations increase the fraction of intron RNA that folds into an active conformation at low Mg2+ concentrations, and terbium-cleavage assays suggest that this increase is due to enhanced Mg2+ binding to the distal stem of DV. Our findings indicate that DV is involved in a critical Mg2+-dependent RNA folding step in group II introns and demonstrate the feasibility of selecting intron variants that function more efficiently at low Mg2+ concentrations, with implications for evolution and potential applications in gene targeting.
On distributed model predictive control for systems with decoupled dynamics

This paper studies distributed model predictive control for the system which is composed of several subsystems with decoupled dynamics. Couplings between different subsystems are manifested by the cost function and constraints. The couplings are described through a connected graph. In this connected graph, each code denotes a subsystem. The cost function and constraints of a code are the functions of its state and the states of its neighbors. The centralize MPC controller for the over system is broken into distinct distributed MPC controllers of smaller size. Each MPC controller is associated to a different node. The distributed MPC and centralize MPC are compared through a numerical example.
Compositional analysis of modular logic programs

This paper describes a semantic basis for a compositional approach to the analysis of logic programs. A logic program is viewed as consisting of a set of modules, each module defining a subset of the program's predicates. Analyses are constructed by considering abstract interpretations of a compositional semantics. The abstract meaning of a module corresponds to its analysis and composition of abstract meanings corresponds to composition of analyses. Such an approach is essential for large program development so that altering one module does not require re-analysis of the entire program. We claim that for a substantial class of programs, compositional analyses which are based on a notion of abstract unfolding provide the same precision as non-compositional analysis. A compositional analysis for ground dependencies is included to illustrate the approach. To the best of our knowledge this is the first account of a compositional framework for the analysis of logic programs.
Helping with Homework.

• How do negative and positive numbers help in describing the situation? • What will addition, subtraction, multiplication, or division of positive and negative numbers tell about the problem? • What model(s) for positive and negative numbers would help in displaying the relationships in the problem situation? In your child’s notebook, you can find worked-out examples from problems done in class, notes on the mathematics of the unit, and descriptions of the vocabulary words.
Automated discovery systems and the inductivist controversy

Abstract The paper explores possible influences that some developments in the field of branches of AI, called automated discovery and machine learning systems, might have upon some aspects of the old debate between Francis Bacon’s inductivism and Karl Popper’s falsificationism. Donald Gillies facetiously calls this controversy ‘the duel of two English knights’, and claims, after some analysis of historical cases of discovery, that Baconian induction had been used in science very rarely, or not at all, although he argues that the situation has changed with the advent of machine learning systems. (Some clarification of terms machine learning and automated discovery is required here. The key idea of machine learning is that, given data with associated outcomes, software can be trained to make those associations in future cases which typically amounts to inducing some rules from individual cases classified by the experts. Automated discovery (also called machine discovery) deals with uncovering new knowledge that is valuable for human beings, and its key idea is that discovery is like other intellectual tasks and that the general idea of heuristic search in problem spaces applies also to discovery tasks. However, since machine learning systems discover (very low-level) regularities in data, throughout this paper I use the generic term automated discovery for both kinds of systems. I will elaborate on this later on). Gillies’s line of argument can be generalised: thanks to automated discovery systems, philosophers of science have at their disposal a new tool for empirically testing their philosophical hypotheses. Accordingly, in the paper, I will address the question, which of the two philosophical conceptions of scientific method is better vindicated in view of the successes and failures of systems developed within three major research programmes in the field: machine learning systems in the Turing tradition, normative theory of scientific discovery formulated by Herbert Simon’s group and the programme called HHNT, proposed by J. Holland, K. Holyoak, R. Nisbett and P. Thagard.
Velocity of transverse domain wall motion along thin, narrow strips

Micromagnetic simulation of domain wall motion in thin, narrow strips leads to a simplified analytical model. The model accurately predicts the same domain wall velocity as full micromagnetic calculations, including dependence on strip width, thickness, and magnitude of applied field pulse. Domain wall momentum and retrograde domain wall motion are both observed and explained by the analytical model.
Auction-Based Distributed Resource Allocation for Cooperation Transmission in Wireless Networks

Cooperative transmission can greatly improve communication system performance by taking advantage of the broadcast nature of wireless channels. Most previous work on resource allocation for cooperation transmission is based on centralized control. In this paper, we propose two share auction mechanisms, the SNR auction and the power auction, to distributively coordinate the resource allocation among users. We prove the existence, uniqueness and effectiveness of the auction results. In particular, the SNR auction leads to a fair resource allocation among users, and the power auction achieves a solution that is close to the efficient allocation.
Impact of two realistic mobility models for vehicular safety applications

Vehicular safety applications intended for VANETs. It can be separated by inter-vehicle communication. It is needed for a vehicle can travel safety with high velocity and must interconnect quickly dependably. In this work, examined the impact of the IDM-IM and IDM-LC mobility model on AODV, AOMDV, DSDV and OLSR routing protocol using Nakagami propagation model and IEEE 802.11p MAC protocol in a particular urban scenario of Dhaka city. The periodic broadcast (PBC) agent is employed to transmit messages between vehicles in case of emergency or collision avoidance for vehicular safety communication. The simulation results recommend numerous concerns such as lower packet drop rate, delay, jitter, route cost and mean-hop is necessary to be measured before developing a robust safety application of VANET.
From Agents to Objects: Sexist Attitudes and Neural Responses to Sexualized Targets

Agency attribution is a hallmark of mind perception; thus, diminished attributions of agency may disrupt social–cognition processes typically elicited by human targets. The current studies examine the effect of perceivers' sexist attitudes on associations of agency with, and neural responses to, images of sexualized and clothed men and women. In Study 1, male (but not female) participants with higher hostile sexism scores more quickly associated sexualized women with first-person action verbs (“handle”) and clothed women with third-person action verbs (“handles”) than the inverse, as compared to their less sexist peers. In Study 2, hostile sexism correlated negatively with activation of regions associated with mental state attribution—medial prefrontal cortex, posterior cingulate, temporal poles—but only when viewing sexualized women. Heterosexual men best recognized images of sexualized female bodies (but not faces), as compared with other targets' bodies; however, neither face nor body recognition was related to hostile sexism, suggesting that the fMRI findings are not explained by more or less attention to sexualized female targets. Diminished mental state attribution is not unique to targets that people prefer to avoid, as in dehumanization of stigmatized people. The current studies demonstrate that appetitive social targets may elicit a similar response depending on perceivers' attitudes toward them.
A Tutorial on Rational Generating Functions

Many of the positive results in this paper are derived from results from the literature on rational generating functions and in particular from the method of Barvinok and Woods [2]. Generating functions have been applied in an analogous fashion in a variety of other contexts, including social choice theory [7], discrete optimization [6], combinatorics [4], and compiler optimization [8]. We here provide a brief and selective overview of this theory. We have two aims: to introduce some machinery that is used in proving our main theorem, and to invite other researchers to use these methods in future work. Generating functions offer the key benefit of compactly representing exponentialcardinality sets of integer points while efficiently supporting the computational operations of counting and enumerating points in the set. We demonstrate the essence of the approach in the following simple example. Consider the set of integers on the line between 0 and n. We can represent these points by associating an exponent of a complex variable ξ with every integer x ∈ [0, n]. The choice of variable ξ plays an important role in later analysis, where residue calculus can be used to extract important information. Using this encoding we can represent the integers in the interval [0, n] as the exponents