Miracle-dz/UniFAR-FTUs huggingface dataset:
Particle swarm optimisation failure prediction based on fitness landscape characteristics

Particle swarm optimisation (PSO) algorithms have been successfully used to solve many complex real-world optimisation problems. Since their introduction in 1995, the focus of research in PSOs has largely been on the algorithmic side with many new variations proposed on the original PSO algorithm. Relatively little attention has been paid to the study of problems with respect to PSO performance. The aim of this study is to investigate whether a link can be found between problem characteristics and algorithm performance for PSOs. A range of benchmark problems are numerically characterised using fitness landscape analysis techniques. Decision tree induction is used to develop failure prediction models for seven different variations on the PSO algorithm. Results show that for most PSO models, failure could be predicted to a fairly high level of accuracy. The resulting prediction models are not only useful as predictors of failure, but also provide insight into the algorithms themselves, especially when expressed as fuzzy rules in terms of fitness landscape features.
The Language of Truthful and Deceptive Denials and Confessions

This study examined differences in language usage as a function of message veracity and speech act type. A quasi-experiment crossed truthful and deceptive messages with confessions and denials in an induced cheating situation. Transcribed messages were analyzed with Linguistic Inquiry and Word Count (LIWC) software. Relative to honest participants, liars exhibited fewer negative emotions, less discrepancy, fewer modal verbs, more modifiers, and they spoke longer. Denials, relative to confessions, were characterized by shorter sentences, more negations, greater discrepancy, fewer past tense verbs, and more present tense verbs. The results are inconsistent with previous findings, suggesting a lack of cross-situational diagnostic utility.
Inquiry from the Outside and the Inside: A Mixed Method Study of University Underachievement in China

ABSTRACT This paper investigates the complex issue of university underachievement in a large Chinese private university. A mixed method approach has been adopted to explore the nature of underachievement by illuminating the quantitative data from 552 university students through qualitative interviews with 30 underachieving students. The analysis revealed that an underachiever appears as a frustrated learner (s)he nevertheless presents as mature in social relations; on the other hand, a low achiever appears to apply him/herself to the work tasks but experiences dilemmas in social relations. Different from previous research, this study has indicated that low achievers and underachievers are psychologically more alike than different but present themselves quite differently in social relationships.
Neurodegeneration and Unfolded-Protein Response in Mice Expressing a Membrane-Tethered Flexible Tail of PrP

The cellular prion protein (PrPC) consists of a flexible N-terminal tail (FT, aa 23–128) hinged to a membrane-anchored globular domain (GD, aa 129–231). Ligation of the GD with antibodies induces rapid neurodegeneration, which is prevented by deletion or functional inactivation of the FT. Therefore, the FT is an allosteric effector of neurotoxicity. To explore its mechanism of action, we generated transgenic mice expressing the FT fused to a GPI anchor, but lacking the GD (PrPΔ141–225, or “FTgpi”). Here we report that FTgpi mice develop a progressive, inexorably lethal neurodegeneration morphologically and biochemically similar to that triggered by anti-GD antibodies. FTgpi was mostly retained in the endoplasmic reticulum, where it triggered a conspicuous unfolded protein response specifically activating the PERK pathway leading to phosphorylation of eIF2α and upregulation of CHOP ultimately leading to neurodegeration similar to what was observed in prion infection.
Analytical BER and PER Performance of Frequency-Domain Diversity Combining, Multipacket Detection and Hybrid Schemes

Diversity Combining (DC) and Multipacket Detection (MPD) are efficient techniques that cope with packet errors due to severe propagation conditions and/or collisions. To evaluate their network performance on a network simulator, an accurate characterization of the Bit Error Rate (BER) and Packet Error Rate (PER) can successfully replace the behavior of the PHY layer. This choice is better in terms of computational time than implementing a full PHY layer to be jointly simulated with the upper layers. In this paper, an analytical model is proposed to compute the BER and PER of DC, MPD and hybrid techniques, considering a Single-Carrier with Frequency-Domain Equalization (SC-FDE) scenario. The paper also considers two frequency-domain detection methods: a simple linear receiver and a powerful iterative receiver. The proposed model is simple and versatile, since it can support nonhomogeneous transmitting powers, and different channel conditions concerning retransmissions and channel randomization techniques. Several simulations show that the proposed model provides accurate BER and PER results for a wide range of scenarios.
Power Quality at the Input of DC Motor and Controlled Rectifier Driving Systems

This paper focuses on the harmonic at the network of the driving systems with DC motors and controlled rectifier. Notably, the total harmonic distortion factor (THD) is influenced by the rectifier commutation and by the load current filtering. We found these influences (thyristors commutation and filtering inductivity) concerning the waves of the currents in the secondary of the transformer and in the network and the waves of the voltage in the secondary of the transformer, as well as the correspondent harmonics spectra. The achieved MATLAB-STMULINK model corresponds to a driving system supplied from a three-phase controlled rectifier. The numerical results are accompanied by experimental verifications, which validate the Simulink models and we done a comparison by IEC 1000-2-1 relation. The active harmonics filtering in dynamic state is discussed.
Human Motion Analysis under Actual Sports Game Situations - Sequential Multi-decay Motion History Image Matching

This paper proposes a sequential multi-decay motion history image matching with the aim of analyzing human motions captured in actual game situations without subjecting people to any intrusive measures. The motion history image (MHI) is a wellknown motion representation method, which can be used without foreground detection. In MHIs, pixels on which motion is detected have large pixel values. As time elapses following the latest motion detection, the values decrease according to a decay parameter. Two improvements were made to enable MHI-based template matching to be applied to motion analysis; introducing a template MHI sequence matching process that enables analysis of the temporal development of motions and extending MHIs to include multiple decay parameters. Due to the MHI sequence, a reference motion includes target motions of various speeds. Since the appropriate decay parameter varies with motion speed, no one predefined decay parameter can be the best one. These improvements enable our method to effectively analyze human motions in actual game situations. Experiments carried out indoors with capturing of 3D motion data and outdoors under real games situations verified the effectiveness of the proposed method.
The Development of a Goal Orientation in Exercise Measure (GOEM)

The aim of this research was to develop an exercise-related goal orientation measure in an attempt to further researchers' and practitioners' current understanding of individuals' motivation to exercise for health and recreational purposes. The Goal Orientation in Exercise Measure (GOEM) was developed to assess individuals' proneness to endorse task or ego goals. Participants included 372 males and females from 16 recreational physical activity clubs in Southeast England. Confirmatory factor analysis (CFA) supported the two-factor model and demonstrated invariance between sexes. Internal consistency for task and ego subscales was . 78 and . 88, respectively, while correlations between the goal orientations and behavioral regulations (Markland & Tobin, 2004) served to provide initial evidence for the construct validity of the measure. The development of the GOEM may allow for a broader understanding of the motivational processes implicated in exercise-related domains.
Eic1 links Mis18 with the CCAN/Mis6/Ctf19 complex to promote CENP-A assembly

CENP-A chromatin forms the foundation for kinetochore assembly. Replication-independent incorporation of CENP-A at centromeres depends on its chaperone HJURPScm3, and Mis18 in vertebrates and fission yeast. The recruitment of Mis18 and HJURPScm3 to centromeres is cell cycle regulated. Vertebrate Mis18 associates with Mis18BP1KNL2, which is critical for the recruitment of Mis18 and HJURPScm3. We identify two novel fission yeast Mis18-interacting proteins (Eic1 and Eic2), components of the Mis18 complex. Eic1 is essential to maintain Cnp1CENP-A at centromeres and is crucial for kinetochore integrity; Eic2 is dispensable. Eic1 also associates with Fta7CENP-Q/Okp1, Cnl2Nkp2 and Mal2CENP-O/Mcm21, components of the constitutive CCAN/Mis6/Ctf19 complex. No Mis18BP1KNL2 orthologue has been identified in fission yeast, consequently it remains unknown how the key Cnp1CENP-A loading factor Mis18 is recruited. Our findings suggest that Eic1 serves a function analogous to that of Mis18BP1KNL2, thus representing the functional counterpart of Mis18BP1KNL2 in fission yeast that connects with a module within the CCAN/Mis6/Ctf19 complex to allow the temporally regulated recruitment of the Mis18/Scm3HJURP Cnp1CENP-A loading factors. The novel interactions identified between CENP-A loading factors and the CCAN/Mis6/Ctf19 complex are likely to also contribute to CENP-A maintenance in other organisms.
Symbolic models for unstable nonlinear control systems

In this paper we take an important step in our quest to synthesize correct-by-design embedded control software for nonlinear systems. We have shown in previous work that by relying on diverse stability and stabilizability assumptions it is possible to construct finite-state models describing the dynamics of nonlinear control systems. Such finite-state models enable the use of algorithmic techniques to automatically synthesize controllers enforcing control and software requirements. In the present paper, we show that similar results can still be obtained by replacing the stability or stabilizability assumptions by the much weaker assumption of incremental forward completeness. We illustrate the new results by synthesizing a controller for an inverted pendulum subject to a schedulability constraint.
Developing a Common Language in Children's Services through Research‐based Inter‐disciplinary Training

Two sources of inertia to improving services for children in need are the difficulties of getting evidence into practice and the complications of inter‐agency working. Current training arrangements in social work and disparities between children's services professions as regards training requirements are contributory factors. The Common Language project is a work in progress, adopting a research‐based, inter‐disciplinary approach to working with social workers and other children's services professionals. It comprises core ideas and methods to complement the more specialist knowledge and skills required in each profession. Underpinned by a child development perspective and a scientific development cycle, it rests on a conceptual framework including need, threshold, service and outcome. The approach has three components (each of which includes training): (1) the implementation of practice tools; (2) the planning and development of integrated services; and (3) supporting materials, including practitioner‐orientated modules and a curriculum for PhD students. Distinguishing features include research utilisation, notably a focus on inculcating research‐mindedness as opposed to imparting findings, and also collaborative professional working, in particular via practical connections between different agencies, stakeholders and countries. The project is being evaluated in terms of uptake, change in professional thinking and practice and effects on child well‐being. Next steps for the project relate to broader lessons for social work training emerging from research and development elsewhere.
Neurobiological Correlates and Clinical Implications of Aggressive Subtypes

ABSTRACT Research on aggression and violence has consistently recognized two subtypes of aggressive behavior: a reactive or impulsive type and a predatory or premeditated type. Several studies have also demonstrated the importance of classifying aggressive behavior in relation to treatment/intervention outcome, suggesting that the extent to which neurobiological variables influence impulsive and premeditated aggressive behavior differs. Despite these results, few neurobiological studies of aggression have attempted to classify violent behavior according to these subtypes. This article selectively reviews literature on the neurobiological correlates of aggression focusing on studies that have specifically examined or compared aggressive subtypes (impulsive or premeditated). In addition, a clinically effective classification scheme for aggressive behavior is presented along with supporting personality and psychophysiological data. Issues relevant to the study, identification, and treatment of aggressive beh.
Opportunistic Scheduling and Channel Allocation in MC-MR Cognitive Radio Networks

In this paper, we use the Lyapunov optimization technique to develop scheduling policies for multiradio multichannel cognitive networks to optimize jointly the throughput and the average delay of a secondary network, with limited interference to primary users (PUs)' transmission. In particular, we consider three scenarios, including a static single-hop secondary network, a static multihop secondary network, and a mobile secondary network. For these cases, with the consideration of general mobility and interference models, we design efficient scheduling and channel allocation algorithms based on the concept of Lyapunov drift and give the corresponding performance bound. Furthermore, our theoretical analysis demonstrates that the proposed algorithms can achieve a flexible tradeoff between network throughput and average backlogs by using the Lyapunov optimization technique. Finally, the efficiency of the proposed algorithms is verified by the numerical simulations.
100g-100N finger joint with load-sensitive continuously variable transmission

This paper presents a 99 g finger joint that can exert a very strong fingertip force of more than 100 N. We have shown that a simple five-bar linkage can be used as a load-sensitive continuously variable transmission (CVT) for a finger joint. The maximum fingertip force of our previous finger was limited by the mechanical strength of its links and bearings, not by the power of its DC motor. If the machine strength can be improved, a much greater fingertip force can be expected. To design a lightweight CVT with sufficient mechanical strength, we analyze the internal force of the CVT and select light plain bearings. We also analyze the stress by using the finite element method and select the materials of its links. Experimental results verify that the maximum fingertip force is more than 100 N near the singular configuration of the CVT and the maximum angular velocity is more than 550 deg/s. These motions are impossible without the CVT. We also developed a very light shape memory alloy brake of 0.56 g. The CVT with the brake can hold a fingertip force of more than 100 N not only near the singular configuration. The electric energy consumed by the brake is much less than that by the DC motor
Bayesian Methods in Functional Magnetic Resonance Imaging

One of the major objectives of functional magnetic resonance imaging studies is to infer regional neuronal activity in response to a stimulus or task. We consider a Bayesian approach which incorporates spatial and temporal dependence and allows for the task-related response to change dynamically over the scanning session. AMS 2000 subject classifications: Primary 62-02; secondary 62P10.
Neutrophils Produce Interleukin 17A (IL-17A) in a Dectin-1- and IL-23-Dependent Manner during Invasive Fungal Infection

ABSTRACT We have previously reported that compromised interleukin 17A (IL-17A) production in the lungs increased susceptibility to infection with the invasive fungal pathogen Aspergillus fumigatus. Here we have shown that culturing lung cells from A. fumigatus-challenged mice ex vivo demonstrated Dectin-1-dependent IL-17A production. In this system, neutralization of IL-23 but not IL-6, IL-1β, or IL-18 resulted in attenuated IL-17A production. Il23 mRNA expression was found to be lower in lung cells from A. fumigatus-challenged Dectin-1-deficient mice, whereas bone marrow-derived dendritic cells from Dectin-1-deficient mice failed to produce IL-23 in response to A. fumigatus in vitro. Addition of recombinant IL-23 augmented IL-17A production by wild-type (WT) and Dectin-1-deficient lung cells, although the addition of IL-6 or IL-1β did not augment the effect of IL-23. Intracellular cytokine staining of lung cells revealed lower levels of CD11b+ IL-17A+ and Ly-6G+ IL-17A+ cells in A. fumigatus-challenged Dectin-1-deficient mice. Ly-6G+ neutrophils purified from the lungs of A. fumigatus-challenged Dectin-1-deficient mice displayed lower Il17a mRNA expression but surprisingly had intact Rorc and Rora mRNA expression. We further demonstrated that Ly-6G+ neutrophils required the presence of myeloid cells for IL-17A production. Finally, upon in vitro stimulation with A. fumigatus, thioglycolate-elicited peritoneal neutrophils were positive for intracellular IL-17A expression and produced IL-17A in a Dectin-1- and IL-23-dependent manner. In summary, Dectin-1-dependent IL-17A production in the lungs during invasive fungal infection is mediated in part by CD11b+ Ly-6G+ neutrophils in an IL-23-dependent manner.
Rapid-Response Extracorporeal Membrane Oxygenation to Support Cardiopulmonary Resuscitation in Children With Cardiac Disease

Background— Survival of children with in-hospital cardiac arrest that does not respond to conventional cardiopulmonary resuscitation (CPR) is poor. We report on survival and early neurological outcomes of children with heart disease supported with rapid-response extracorporeal membrane oxygenation (ECMO) to aid cardiopulmonary resuscitation (ECPR). Methods and Results— Children with heart disease supported with ECPR were identified from our ECMO database. Demographic, CPR, and ECMO details associated with mortality were evaluated using multivariable logistic regression. Pediatric overall performance category and pediatric cerebral performance category scores were assigned to ECPR survivors to assess neurological outcomes. There were 180 ECPR runs in 172 patients. Eighty-eight patients (51%) survived to discharge. Survival in patients who underwent ECPR after cardiac surgery (54%) did not differ from nonsurgical patients (46%). Survival did not vary by cardiac diagnosis and CPR duration did not differ between survivors and nonsurvivors. Factors associated with mortality included noncardiac structural or chromosomal abnormalities (OR, 3.2; 95% CI, 1.3–7.9), use of blood-primed ECMO circuit (OR, 7.1; 95% CI, 1.4–36), and arterial pH <7.00 after ECMO deployment (OR, 6.0; 95% CI, 2.1–17.4). Development of end-organ injury on ECMO and longer ECMO duration were associated with increased mortality. Of pediatric overall performance category/pediatric cerebral performance category scores assigned to survivors, 75% had scores ≤2, indicating no to mild neurological injury. Conclusions— ECPR may promote survival in children with cardiac disease experiencing cardiac arrest unresponsive to conventional CPR with favorable early neurological outcomes. CPR duration was not associated with mortality, whereas patients with metabolic acidosis and noncardiac structural or chromosomal anomalies had higher mortality.
Road to Reunification? Unitary Korean Nationalism in South Korean Media Coverage of the 2004 Athens Olympic Games

This article examines South Korean media coverage of the 2004 Athens Olympic Games and concerns the discourse around the unification of North and South Korea, with the emergence of a unitary nationalism as the main theme during this period. Unitary Korean nationalism was becoming a dominant form of discourse on inter-Korean relations and was evident in the South Korean media coverage of the Olympics. Despite this, there exists a gap between sporting nationalism and political nationalism. The mood of reconciliation between the two Koreas is less evident in politics than in sport due to the ongoing political tensions and conflicts in the Korean peninsula. Wider tensions evident in the period leading up to the London 2012 Olympic Games reinforce this conclusion.
T-Coffee: A novel method for fast and accurate multiple sequence alignment.

We describe a new method (T-Coffee) for multiple sequence alignment that provides a dramatic improvement in accuracy with a modest sacrifice in speed as compared to the most commonly used alternatives. The method is broadly based on the popular progressive approach to multiple alignment but avoids the most serious pitfalls caused by the greedy nature of this algorithm. With T-Coffee we pre-process a data set of all pair-wise alignments between the sequences. This provides us with a library of alignment information that can be used to guide the progressive alignment. Intermediate alignments are then based not only on the sequences to be aligned next but also on how all of the sequences align with each other. This alignment information can be derived from heterogeneous sources such as a mixture of alignment programs and/or structure superposition. Here, we illustrate the power of the approach by using a combination of local and global pair-wise alignments to generate the library. The resulting alignments are significantly more reliable, as determined by comparison with a set of 141 test cases, than any of the popular alternatives that we tried. The improvement, especially clear with the more difficult test cases, is always visible, regardless of the phylogenetic spread of the sequences in the tests.
PIC decoding algorithm for Quasi-Orthogonal distributed STBC with non-binary LDPC code

In this work, we extend the partial interference cancellation (PIC) group decoding algorithm [1] to the distributed Quasi-Orthogonal space time block code (STBC) with non-binary low density parity check code (LDPC) in Amplify-and-Forward (AF) relay networks. A Gaussian based detection is proposed to reduce the decoding complexity in this paper. The complexity involved grows linearly with the number of relay nodes and size of Galois Field. The simulation result shows that the Gaussian based detection is reasonable to employ in this system.