Miracle-dz/UniFAR-FTUs huggingface dataset:
Random feedback weights support learning in deep neural networks

The brain processes information through many layers of neurons. This deep architecture is representationally powerful, but it complicates learning by making it hard to identify the responsible neurons when a mistake is made. In machine learning, the backpropagation algorithm assigns blame to a neuron by computing exactly how it contributed to an error. To do this, it multiplies error signals by matrices consisting of all the synaptic weights on the neuron's axon and farther downstream. This operation requires a precisely choreographed transport of synaptic weight information, which is thought to be impossible in the brain. Here we present a surprisingly simple algorithm for deep learning, which assigns blame by multiplying error signals by random synaptic weights. We show that a network can learn to extract useful information from signals sent through these random feedback connections. In essence, the network learns to learn. We demonstrate that this new mechanism performs as quickly and accurately as backpropagation on a variety of problems and describe the principles which underlie its function. Our demonstration provides a plausible basis for how a neuron can be adapted using error signals generated at distal locations in the brain, and thus dispels long-held assumptions about the algorithmic constraints on learning in neural circuits.
Multi-Objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems

Software testing is an important issue in software engineering. As software systems become increasingly large and complex, the problem of how to optimally allocate the limited testing resource during the testing phase has become more important, and difficult. Traditional Optimal Testing Resource Allocation Problems (OTRAPs) involve seeking an optimal allocation of a limited amount of testing resource to a number of activities with respect to some objectives (e.g., reliability, or cost). We suggest solving OTRAPs with Multi-Objective Evolutionary Algorithms (MOEAs). Specifically, we formulate OTRAPs as two types of multi-objective problems. First, we consider the reliability of the system and the testing cost as two objectives. Second, the total testing resource consumed is also taken into account as the third objective. The advantages of MOEAs over state-of-the-art single objective approaches to OTRAPs will be shown through empirical studies. Our study has revealed that a well-known MOEA, namely Nondominated Sorting Genetic Algorithm II (NSGA-II), performs well on the first problem formulation, but fails on the second one. Hence, a Harmonic Distance Based Multi-Objective Evolutionary Algorithm (HaD-MOEA) is proposed and evaluated in this paper. Comprehensive experimental studies on both parallel-series, and star-structure modular software systems have shown the superiority of HaD-MOEA over NSGA-II for OTRAPs.
Knockdown of Pdcd4 results in induction of proprotein convertase 1/3 and potent secretion of chromogranin A and secretogranin II in a neuroendocrine cell line

Background information. Pdcd4 (programmed cell death 4) is up‐regulated during apoptosis and seems to play an important role as a tumour suppressor. To gain further insights into its biological functions, we suppressed Pdcd4 expression in the neuroendocrine cell line Bon‐1 via siRNA (small interfering RNA) technology.
Spectral analysis of intracardiac electrograms during induced and spontaneous ventricular fibrillation in humans.

AIMS Very limited data are available on the differences between spontaneous and induced episodes of ventricular fibrillation (VF) in humans. The aim of the study was to compare the spectral characteristics of the electrical signal recorded by an implantable cardioverter defibrillator (ICD) during both types of episodes. METHODS AND RESULTS Thirteen ICD patients with at least one spontaneous and one induced VF recorded by the device were included in the study. A spectral representation was obtained for the first 3 s of the intracardiac unipolar electrogram during VF. The dominant frequency (f(d)), the peak power at f(d), an organization index (OI), a bandwidth measurement, and an estimate of the correlation with a sinusoidal wave (leakage) were estimated for each episode. The f(d) was higher in induced episodes (4.75 +/- 0.57 vs. 3.95 +/- 0.59 Hz for the spontaneous episodes, P = 0.002), as well as the degree of organization assessed by the OI, bandwidth, and leakage parameters. CONCLUSION Clinical and induced VF episodes in humans have different spectral characteristics. Changes in the electrophysiological substrate or in the location of the arrhythmia wavefront at onset could play a role to explain the observed differences.
Anatomical Evidence of Multimodal Integration in Primate Striate Cortex

The primary visual cortex (area 17 or V1) is not thought to receive input from nonvisual extrastriate cortical areas. However, this has yet to be shown to be the case using sensitive tracers in the part of area 17 subserving the peripheral visual field. Here we show using retrograde tracers that peripheral area 17 subserving the visual field at an eccentricity of 10–20° receives projections from the core and parabelt areas of the auditory cortex as well as from the polysensory area of the temporal lobe (STP). The relative strength of these projections was calculated for each injection by computing the proportions of retrogradely labeled neurons located in the auditory and STP areas with respect to number of labeled neurons constituting the established projection from the superior temporal sulci (STS) motion complex (middle temporal area, medial superior temporal, fundus of the superior temporal area). In peripheral area V1 the projection from auditory cortex corresponds to 9.5% of that of the STS motion complex and STP to 35% of that from the STS motion complex. Compared to peripheral area 17, central and paracentral area 17 showed considerably weaker inputs from auditory cortex (0.2–0.8%) but slightly more from STP cortex (3.5–6.1%). The present results show that the connectivity of area 17 is eccentricity dependent. Direct projections from auditory and STP cortex to peripheral area 17 have important consequences for higher visual functions of area 17, including multimodal integration at early stages of the visual cortical pathway.
Ownership structure and informativeness of accounting earnings of listed deposit money banks in Nigeria

This study investigated the effect of Ownership Structure on Informativeness of Accounting Earnings of listed Deposit Money Banks in Nigeria. Ownership structure is proxied with Managerial ownership, Institutional ownership, and Ownership concentration, while Informativeness of Accounting Earnings is proxied using Fan and Wong (2002) model. Pooled Regression technique was adopted using Fixed and Random effect in the analysis. The study used a purposive sampling technique to filter out banks that do not satisfy the criteria set out for inclusion thereby arriving at the sample size of ten (10) listed Deposit Money Banks in Nigeria out of Seventeen (17). Secondary data source was used which were extracted from the Annual reports and accounts of the sampled Banks from 2006-2012. The findings revealed that, Managerial Ownership is negatively and significantly related to Earnings Informativeness, While Ownership Concentration was positively and significantly related to Earnings Informativeness of listed Deposit Money Banks in Nigeria. However, Institutional Ownership was found to have no significant influence on Informativeness of Accounting Earning. It is recommended amongst others that those who are interested in the reported earnings as a basis for their investment decisions should look up to Ownership Concentration in those banks as they empirically guarantee the reliability of the Banks reported Earnings.
Flux Balance Analysis of Photoautotrophic Metabolism

Photosynthesis is the principal process responsible for fixation of inorganic carbon dioxide into organic molecules with sunlight as the energy source. Potentially, many chemicals could be inexpensively produced by photosynthetic organisms. Mathematical modeling of photoautotrophic metabolism is therefore important to evaluate maximum theoretical product yields and to deeply understand the interactions between biochemical energy, carbon fixation, and assimilation pathways. Flux balance analysis based on linear programming is applied to photoautotrophic metabolism. The stoichiometric network of a model photosynthetic prokaryote, Synechocystis sp. PCC 6803, has been reconstructed from genomic data and biochemical literature and coupled with a model of the photophosphorylation processes. Flux map topologies for the hetero‐, auto‐, and mixotrophic modes of metabolism under conditions of optimal growth were determined and compared. The roles of important metabolic reactions such as the glyoxylate shunt and the transhydrogenase reaction were analyzed. We also theoretically evaluated the effect of gene deletions or additions on biomass yield and metabolic flux distributions.
Combined high-resolution genotyping and geospatial analysis reveals modes of endemic urban typhoid fever transmission

Typhoid is a systemic infection caused by Salmonella Typhi and Salmonella Paratyphi A, human-restricted bacteria that are transmitted faeco-orally. Salmonella Typhi and S. Paratyphi A are clonal, and their limited genetic diversity has precluded the identification of long-term transmission networks in areas with a high disease burden. To improve our understanding of typhoid transmission we have taken a novel approach, performing a longitudinal spatial case–control study for typhoid in Nepal, combining single-nucleotide polymorphism genotyping and case localization via global positioning. We show extensive clustering of typhoid occurring independent of population size and density. For the first time, we demonstrate an extensive range of genotypes existing within typhoid clusters, and even within individual households, including some resulting from clonal expansion. Furthermore, although the data provide evidence for direct human-to-human transmission, we demonstrate an overwhelming contribution of indirect transmission, potentially via contaminated water. Consistent with this, we detected S. Typhi and S. Paratyphi A in water supplies and found that typhoid was spatially associated with public water sources and low elevation. These findings have implications for typhoid-control strategies, and our innovative approach may be applied to other diseases caused by other monophyletic or emerging pathogens.
A study of the general public's understanding of reactions to rape, with implications for the judicial system

Contextualised by the proposed UK Government initiative to introduce expert information into rape trials, this review surveyed literature addressing the prevalence of rape, common psychological sequelae and how symptomology consistent with Posttraumatic Stress Disorder (PTSD) may impact rape narratives. It also explored research on the general public's understanding of these symptoms and their potential influence on judgements of witness credibility. A paucity of literature focussed the review on dissociation and shame, two common phenomena associated with PTSD and how cognitive, affective and behavioural markers may impact the content and style of a rape victim's statement. The literature suggested that some manifestations of both peritraumatic and posttraumatic dissociative experiences negatively influenced judgements. The review also found that many of the behavioural markers of shame were seen as indicative of deceit, thus further reducing perceived credibility. The findings are discussed in relation to the current legal system, with recommendations for further research made.
Isolated respiring heart mitochondria release reactive oxygen species in states 4 and 3

Isolated mitochondria respiring on physiological substrates, both in state 4 and 3, are reported to be or not to be a source of reactive oxygen species (ROS). The cause of these discrepancies has been investigated. As protein concentration was raised in in vitro assays at 37°C, the rate of H2O2 release by rat heart mitochondria supplemented with pyruvate/malate or with succinate (plus rotenone) was shown to increase (0.03–0.15 mg protein/ml), to decrease (0.2–0.5 mg protein/ml) and to be negligible (over 0.5 mg protein/ml). The inhibition of mitochondrial respiration (with rotenone or antimycin A) or the increase in the oxygen concentration dissolved in the assay medium allowed an enhancement of ROS production rate throughout the studied range of protein concentrations. In mitochondria respiring in state 3 on pyruvate/malate or on succinate (plus rotenone), ROS release vanished for protein concentrations over 0.5 or 0.2 mg/ml, respectively. However, ROS production rates measured with low protein concentrations (below 0.1 mg/ml) or in oxygen-enriched media were similar or even slightly higher in the active respiratory state 3 than in the resting state 4 for both substrates. Consequently, these findings indicate that isolated mitochondria, respiring in vitro under conditions of forward electron transport, release ROS with Complex I- and II-linked substrates in the resting condition (state 4) and when energy demand is maximal (state 3), provided that there is sufficient oxygen dissolved in the medium.
A Comparison of String Metrics for Matching Names and Records

We describe an open-source Java toolkit of methods for matching names and records. We summarize results obtained from using various string distance metrics on the task of matching entity names. These metrics include distance functions proposed by several different communities, such as edit-distance metrics, fast heuristic string comparators, token-based distance metrics, and hybrid methods. We then describe an extension to the toolkit which allows records to be compared. We discuss some issues involved in performing a similar comparision for record-matching techniques, and finally present results for some baseline record-matching algorithms that aggregate string comparisons between fields.
Probabilistic graphical models for genetic association studies

Probabilistic graphical models have been widely recognized as a powerful formalism in the bioinformatics field, especially in gene expression studies and linkage analysis. Although less well known in association genetics, many successful methods have recently emerged to dissect the genetic architecture of complex diseases. In this review article, we cover the applications of these models to the population association studies' context, such as linkage disequilibrium modeling, fine mapping and candidate gene studies, and genome-scale association studies. Significant breakthroughs of the corresponding methods are highlighted, but emphasis is also given to their current limitations, in particular, to the issue of scalability. Finally, we give promising directions for future research in this field.
Children's Development as Participation in Everyday Practices across Different Institutions

Children participate in different institutional collectives in their everyday life. Home, school, and kindergarten are the institutional contexts that most children share. Although there are variations between home practices and school practices, they collectively share a common core framed by societal conditions. In drawing upon Vygotsky's (1998) theory of the social situation of development and Hedegaard's (2009) theory of development conceptualised as the child's participation within and across several institutions at the same time, it has been possible to examine how school practices influence home practice and the child's social situation of development. A case study of an Australian child's participation across different institutions (family and school) was undertaken to capture and analyse the dynamic processes through which development was afforded. In the case study there was a large disjunction between institutional practices of the home and school that the child had to negotiate. Due to teacher knowledge of only the child's relation to the school institution, and not the home institution, the affordances for development and the child's changing relations to his environment, were invisible to the educators in this study. The findings suggest foregrounding an understanding of children's development as changes in children's activities and thereby changing their relations to reality across institutional practices in order to support a broader view of development in early childhood education.
Automated Tumor Segmentation and Brain Mapping for the Tumor Area

Magnetic Resonance Imaging (MRI) is an important diagnostic tool for precise detection of various pathologies. Magnetic Resonance (MR) is more preferred than Computed Tomography (CT) due to the high resolution in MR images which help in better detection of neurological conditions. Graphical user interface (GUI) aided disease detection has become increasingly useful due to the increasing workload of doctors. In this proposed work, a novel two steps GUI technique for brain tumor segmentation as well as Brodmann area detec-tion of the segmented tumor is proposed. A data set of T2 weighted images of 15 patients is used for validating the proposed method. The patient data incor-porates variations in ethnicities, gender (male and female) and age (25-50), thus enhancing the authenticity of the proposed method. The tumors were segmented using Fuzzy C Means Clustering and Brodmann area detection was done using a known template, mapping each area to the segmented tumor image. The proposed method was found to be fairly accurate and robust in detecting tumor.
Improving Attitude-Behavior Correspondence Through Exposure to Normative Support From a Salient Ingroup

Two experiments were conducted to test predictions derived from social identity/self-categorization theory concerning the role of group norms in attitude-behavior consistency. In Experiment 1, 160 students who could be classified as having a more or less certain target attitude were exposed to attitude congruent versus incongruent normative support from a relevant reference group (own university) under conditions of low versus high group salience. Experiment 2 was very similar in design and methodology (N = 180), but a different correlate of attitude accessibility was used (an experimental manipulation of repeated expression), the target attitude was changed, and the reference group was gender. Across the 2 experiments there was consistent support for the hypothesis that participants would behave more in accordance with their attitudes when they received normative support for, rather than opposition to, their original attitude from a relevant reference group (i.e., their ingroup, not an outgroup). There was slightly weaker support for the second hypothesis that this effect would be stronger under high- than low-salience conditions. The third hypothesis (see Fazio, 1986), that attitude certainty and repeated expression of the attitude would strengthen attitude-behavior consistency, was well supported, as was the expectation that accessibility effects would be independent of reference group norm effects on attitude-behavior consistency.
HOW DOES BACKGROUND AND TRAINING AFFECT DANCE PEDAGOGY IN HIGHER EDUCATION

OF THESIS HOW DOES BACKGROUND AND TRAINING AFFECT DANCE PEDAGOGY IN HIGHER EDUCATION? Dance faculty in higher education have various backgrounds and training ranging from professional dance careers to doctoral degrees in dance. This study sought to examine the ways background and training impact faculty members‟ pedagogical approach to a dance technique class in a higher education dance department. This study examined the pedagogical knowledge, content knowledge, and pedagogical content knowledge of participants through qualitative methods including interviews, observations, and document analysis. Six major themes emerged from the data: desire to teach, teaching focus, challenging students, planning and preparation, instructional methods, and assessment strategies.
Immunotherapy Progress in Mismatch Repair–Deficient Colorectal Cancer and Future Therapeutic Challenges

AbstractInitial investigations of immune-checkpoint therapy targeting Programmed cell death protein 1/programed death ligand 1 in unselected colorectal cancer (CRC) has shown limited to no activity. However, a subset of CRC, characterized by mismatch deficiency or microsatellite instability high (MSI-high), has shown robust early signals of antitumor activity with PD1 targeting. It is now clear that MSI-high CRC represents a unique molecular and immunological tumor subset. Further study and understanding of the immunological microenvironment of these tumors will be critical to continued success with immune-based approaches in MSI-high CRC. This review discusses the current biological understanding of MSI-high CRC and outlines the current and ongoing clinical trials investigating immunotherapy.
A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used optimization techniques. This survey presented a comprehensive investigation of PSO. On one hand, we provided advances with PSO, including its modifications (including quantum-behaved PSO, bare-bones PSO, chaotic PSO, and fuzzy PSO), population topology (as fully connected, von Neumann, ring, star, random, etc.), hybridization (with genetic algorithm, simulated annealing, Tabu search, artificial immune system, ant colony algorithm, artificial bee colony, differential evolution, harmonic search, and biogeography-based optimization), extensions (to multiobjective, constrained, discrete, and binary optimization), theoretical analysis (parameter selection and tuning, and convergence analysis), and parallel implementation (in multicore, multiprocessor, GPU, and cloud computing forms). On the other hand, we offered a survey on applications of PSO to the following eight fields: electrical and electronic engineering, automation control systems, communication theory, operations research, mechanical engineering, fuel and energy, medicine, chemistry, and biology. It is hoped that this survey would be beneficial for the researchers studying PSO algorithms.
Control of Bifurcation of Dc/Dc Buck Converters Controlled by Double-Edged PWM Waveform

The nonlinear behaviour of the buck converter controlled by double-edged PWM waveform is studied in this paper. The stability of the system is analyzed using the state transition matrix over one switching cycle (the monodromy matrix) including the state transition matrices during each switching (saltation matrices). Three supervising control methods are applied to extend the normal period one operation of the system. Good agreement is demonstrated between theoretical analysis, numerical simulations and the results are experimentally verified.