Miracle-dz/UniFAR-FTUs huggingface dataset:
A Nonhomogeneous Cuckoo Search Algorithm Based on Quantum Mechanism for Real Parameter Optimization

Cuckoo search (CS) algorithm is a nature-inspired search algorithm, in which all the individuals have identical search behaviors. However, this simple homogeneous search behavior is not always optimal to find the potential solution to a special problem, and it may trap the individuals into local regions leading to premature convergence. To overcome the drawback, this paper presents a new variant of CS algorithm with nonhomogeneous search strategies based on quantum mechanism to enhance search ability of the classical CS algorithm. Featured contributions in this paper include: 1) quantum-based strategy is developed for nonhomogeneous update laws and 2) we, for the first time, present a set of theoretical analyses on CS algorithm as well as the proposed algorithm, respectively, and conclude a set of parameter boundaries guaranteeing the convergence of the CS algorithm and the proposed algorithm. On 24 benchmark functions, we compare our method with five existing CS-based methods and other ten state-of-the-art algorithms. The numerical results demonstrate that the proposed algorithm is significantly better than the original CS algorithm and the rest of compared methods according to two nonparametric tests.
Marshall's Evolutionary Economics

Part I The Origin 1. Marshall's Mental Philosophy 2. An Amazing Machine Concluding Remarks Part II The Oeuvre 3. From Evolutionary Psychology to Evolutionary Economics 4. Patterns of Evolution at Work 5. Some Methodological Issues Concluding Remarks Part III The Aftermath 6. Death and Resurrection of a Research Programme 7. Keynes's Marshallian Heritage Concluding Remarks
Cognición de grupo y cognición de enjambre en la solución del problema del agente viajero

In this paper collective problem solving is explored by comparing the human group performance and swarm intelligence algorithms. The study involved thirty university students from different academic programs, aged between eighteen and thirty years were assigned comprised of three, five or seven-member groups. Spatial version (open field) of the traveling salesman problem was used. The participants’ performance was compared with the performance of algorithms collective intelligence of swarms. The results show some similarities between cognition and group cognition swarm in the mechanisms of information processing strategies of collective organization and patterns of choice or consensus strategies.
Reflection-based implementation of Java extensions: the double-dispatch use-case

Reflection-based libraries could sometimes be used to extend the expressive power of Java without modifying the language nor the virtual machine. In this paper, we present the advantages of this approach together with general guidelines allowing such implementations to be practicable. Then, we show how these principles have been applied to implement an efficient and general double-dispatch solution for Java.
Modelling and Worst-Case Dimensioning of Cluster-Tree Wireless Sensor Networks

Time-sensitive Wireless Sensor Network (WSN) applications require finite delay bounds in critical situations. This paper provides a methodology for the modeling and the worst-case dimensioning of clustertree WSNs. We provide a fine model of the worst-case cluster-tree topology characterized by its depth, the maximum number of child routers and the maximum number of child nodes for each parent router. Using Network Calculus, we derive “plug-and-play” expressions for the end-to-end delay bounds, buffering and bandwidth requirements as a function of the WSN cluster-tree characteristics and traffic specifications. The cluster-tree topology has been adopted by many cluster-based solutions for WSNs. We demonstrate how to apply our general results for dimensioning IEEE 802.15. 4/Zigbee cluster-tree WSNs. We believe that this paper shows the fundamental performance limits of cluster-tree wireless sensor networks by the provision of a simple and effective methodology for the design of such WSNs. Modeling and Worst-Case Dimensioning of Cluster-Tree Wireless Sensor Networks Anis KOUBAA, Mário ALVES, Eduardo TOVAR IPP-HURRAY! Research Group, Polytechnic Institute of Porto Rua Dr. Antonio Bernardino de Almeida, 431, 4200-072 Porto, PORTUGAL {akoubaa, emt}@dei.isep.ipp.pt , mjf@isep.ipp.pt
The biochemistry of memory : with an inquiry into the function of the brain mucoids

Read more and get great! That's what the book enPDFd biochemistry of memory with an inquiry into the function of the brain mucoids will give for every reader to read this book. This is an on-line book provided in this website. Even this book becomes a choice of someone to read, many in the world also loves it so much. As what we talk, when you read more every page of this biochemistry of memory with an inquiry into the function of the brain mucoids, what you will obtain is something great.
Malignant lymphoma in the X‐linked lymphoproliferative syndrome

Male patients with the X‐linked lymphoproliferative syndrome (XLP) have an inherited immune deficiency to Epstein‐Barr virus (EBV) infection that results in fatal infectious mononucleosis (IM), acquired hypogammaglobulinemia‐ or agammaglobulinemia, virus‐associated hemophagocytic syndrome, and non‐Hodgkin's malignant lymphoma (ML). A clinicopathologic analysis of 17 patients with XLP who developed ML was performed. The median age of the patients at the time of diagnosis was 4.0 years (range, 2–19 years). The median overall survival was 12 months (range, 1–216 months). Eight patients had maternally related male relatives with ML. Other phenotypes of XLP were documented in male relatives of the remaining nine patients. Common presenting symptoms were fever, nausea, vomiting, and abdominal pain. Nine patients had “B” symptoms. All ML occurred at extranodal sites. The intestines, most commonly ileocecal, were involved in 76.5% of the cases. Thirteen patients had localized disease (Stages I and II) and four patients had advanced disease (Stages III and IV). A diffuse histologic pattern of growth was observed in all cases. The distribution of histologic subtypes included small noncleaved (41.2%), large noncleaved (17.6%), immunoblastic (17.6%), small cleaved or mixed cell (11.8%), and unclassifiable (5.9%) ML. Surgical resection, radiation therapy, and chemotherapy resulted in disease‐free survivals of up to 192 months in eight patients (median 114 months; range, 12–192 months). Eight of 17 patients (47%) are still alive. A median survival of only 6.0 months (range, 1–12 months) was observed in the nine patients who died. No residual ML was found at autopsy. The small noncleaved subtype had an adverse prognosis (seven of nine deaths versus one of eight survivors; P < 0.05). Bacterial infection was the major cause of death (seven of nine patients). Characteristics that distinguish ML in XLP from other ML include a maternal family history of XLP, early age of onset, acquired hypogammaglobulinemia, post‐EBV infection, and ileocecal involvement.
Optimizing the Communication Topology in a Coordinated Model Predictive Control Architecture

The design of control architectures for large-scale systems formed by the interconnection of several interacting subsystems is a challenging task. The interactions between the subsystems have a significant influence on the local control decisions as well as the overall system optimality and need to be accounted for explicitly. An increasingly popular technique to control such systems is the Coordination-based Model Predictive Control (C-MPC), where a decentralized control architecture is maintained, but the performance of the system is driven towards that of a centralized control architecture. The C-MPC control strategy facilitates communication between the local controllers and ensures cooperation in order to drive the performance towards plant-wide optimality. However, the amount of communication required increases exponentially with the number of subsystems, making the C-MPC architecture computationally inefficient. Hence, it is desirable to reduce the computational load of the C-MPC architecture without significantly compromising on the overall performance of the system. In order to achieve this, a Genetic Algorithm (GA) based optimizer is utilized to identify the trade-off between communication topologies of varying complexities and the associated performance of the C-MPC strategy. The effectiveness of the optimally designed C-MPC framework with partial communication between the controllers is evaluated on a popular benchmark chemical engineering problem and the performance is compared to that of the traditional centralized and decentralized control architectures.
A 0.8–3 GHz mixer-first receiver with on-chip transformer balun in 65-nm CMOS

This paper describes a wide-band receiver designed to be connected directly to a single-ended non-50 ohm antenna. The receiver is based on a four-phase mixer-first architecture and it includes an on-chip transformer balun. Reconfigurability in the balun extends the low-end operation band by 300 MHz. This design demonstrates that with an on-chip balun it is possible to achieve comparable performance to a similar receiver with an external high-performance balun. The receiver is implemented in 65-nm CMOS and it operates in 0.8-3 GHz band with 40 dB gain and 7 dB noise figure.
A predictive risk model for outcomes of ischemic stroke.

BACKGROUND AND PURPOSE The great variability of outcome seen in stroke patients has led to an interest in identifying predictors of outcome. The combination of clinical and imaging variables as predictors of stroke outcome in a multivariable risk adjustment model may be more powerful than either alone. The purpose of this study was to determine the multivariable relationship between infarct volume, 6 clinical variables, and 3-month outcomes in ischemic stroke patients. METHODS Included in the study were 256 eligible patients from the Randomized Trial of Tirilazad Mesylate in Acute Stroke (RANTTAS). Six clinical variables and 1-week infarct volume were the prespecified predictor variables. The National Institutes of Health Stroke Scale, Barthel Index, and Glasgow Outcome Scale were the outcomes. Multivariable logistic regression techniques were used to develop the model equations, and bootstrap techniques were used for internal validation. Predictive performance of the models was assessed for discrimination with receiver operator characteristic (ROC) curves and for calibration with calibration curves. RESULTS The predictive models had areas under the ROC curve of 0.79 to 0.88 and demonstrated nearly ideal calibration curves. The areas under the ROC curves were statistically greater (P<0.001) with both clinical and imaging information combined than with either alone for predicting excellent recovery and death or severe disability. CONCLUSIONS Combined clinical and imaging variables are predictive of 3-month outcome in ischemic stroke patients. Demonstration of this relationship with acute clinical variables and 1-week infarct information supports future attempts to predict 3-month outcome with all acute variables.
Evolutionary ecology of mycorrhizal functional diversity in agricultural systems

The root systems of most agronomic crops are colonized by diverse assemblages of arbuscular mycorrhizal fungi (AMF), varying in the functional benefits (e.g. nutrient transfer, pathogen protection, water uptake) provided to hosts. Little is known about the evolutionary processes that shape the composition of these fungal assemblages, nor is it known whether more diverse assemblages are beneficial to crop productivity. In this review we aim to identify the evolutionary selection pressures that shape AMF diversity in agricultural systems and explore whether promotion of AMF diversity can convincingly be linked to increases in agricultural productivity and/or sustainability. We then ask whether farmers can (and should) actively modify evolutionary selection pressures to increase AMF functioning. We focus on three agriculturally imposed selection regimes: tillage, fertilization, and continuous monoculture. We find that the uniform nature of these practices strongly selects for dominance of few AMF species. These species exhibit predictable, generally non‐beneficial traits, namely heavy investment in reproduction at the expense of nutrient scavenging and transfer processes that are beneficial for hosts. A number of focus‐points are given based on empirical and theoretical evidence that could be utilized to slow down negative selection pressures on AMF functioning, therein increasing crop benefit.
Sexual Bullying: Gender Conflict and Pupil Culture in Secondary Schools

Introduction 1. Boy troubles 2. Girl troubles 3. Age differences in adolescent relationships 4. The ideology of age seniority 5. The culture of feminine violence 6. Homophobias: Intra-Gender Policing 7. Summary of findings: The importance of being gendered 8. Analysis, discussion and wild speculation Appendices
Measuring coherence between electronic and manual annotations in biological databases

The use of controlled structured vocabularies for annotation purposes, such as the Gene Ontology (GO) is currently one of the strategies to cope with the increasingly cumbersome task of genome annotation. The Gene Ontology Annotation Database (GOA) uses GO to annotate gene products through curated literature analysis and uncurated electronic methods. Although electronic annotations constitute the large majority of annotations (over 95%), most researchers are reluctant to use them in their studies, since they are regarded as having a lower quality than curated ones. Assessing the quality of electronic annotations may help clarify the advantages and disadvantages of their use. This paper proposes a preliminary measure of electronic annotation quality based on the coherence between electronic and manual annotations. Coherence is analysed both at the gene product and at the annotation level, based on semantic similarity of Gene Ontology terms. We have found that average annotation coherence values are around 60%, but can be as high as 81% for a less granular analysis. Based on this analysis we propose meaningful coherence thresholds for electronic annotation selection and filtering, and for highlighting gene products for annotation revision.
Peptide Designed to Elicit Apoptosis in Adipose Tissue Endothelium Reduces Food Intake and Body Weight

OBJECTIVE Because adipose tissue is highly vascularized, modifying adipose tissue vasculature may provide a novel method for reducing body fat. A peptide sequence that elicits apoptosis of endothelium in white fat potently reduced body weight. We sought to determine how inhibiting adipose tissue vasculature changes key aspects of energy balance regulation and the neuroendocrine system that maintains energy balance. RESEARCH DESIGN AND METHODS Lean and obese mice or rats were treated with proapoptotic peptide for 4 or 27 days. Daily energy intake and expenditure were measured in mice on a low- (LFD) or high-fat diet (HFD) and in rats on a HFD. A conditioned taste aversion test was performed to assess whether proapoptotic peptide produces visceral illness. Hypothalamic neuropeptide Y, agouti-related peptide, and proopiomelanocoritin (POMC) mRNA expression and plasma leptin levels were evaluated. RESULTS Proapoptotic peptide completely reversed HFD-induced obesity in mice and reduced body weight in mice and rats on a HFD but not in those on a LFD. Fat loss occurred with no change of energy expenditure but reduced food intake that occurred without signs of illness and despite reduced circulating leptin and reduced hypothalamic POMC gene expression, indicating that the decrease in food intake is independent of the action of leptin. CONCLUSIONS These experiments provide compelling evidence for a previously unknown relationship between the status of adipose tissue vasculature and the regulation of food intake.
On some spectrum estimation methods for analysis of nonstationary signals in power systems. Part II. Numerical applications

This is a companion paper to a paper of the same title, Part I, in which the theoretical aspects of some spectrum estimation methods for analysis of nonstationary voltages and currents in power systems with nonlinear loads are analysed. In particular, the Prony model and rootMusic method are taken into account. In this work, numerical applications of the methods presented in Part I are discussed, in order to illustrate their implementation problems and practical applications. To investigate the methods, several experiments were performed using nonstationary voltage and current waveforms in a supply system of a DC arc furnace. For comparison, similar experiments were repeated using the short-time Fourier transform. The comparison proved the effectiveness of the new methods; however, their computational efforts can be much more complex. Conclusions and recommendations are made concerning the framework of each method.
Evaluation of usage of virtual microscopy for the study of histology in the medical, dental, and veterinary undergraduate programs of a UK University

This article describes the introduction of a virtual microscope (VM) that has allowed preclinical histology teaching to be fashioned to better suit the needs of approximately 900 undergraduate students per year studying medicine, dentistry, or veterinary science at the University of Bristol, United Kingdom. Features of the VM implementation include: (1) the facility for students and teachers to make annotations on the digital slides; (2) in‐house development of VM‐based quizzes that are used for both formative and summative assessments; (3) archiving of teaching materials generated each year, enabling students to access their personalized learning resources throughout their programs; and (4) retention of light microscopy capability alongside the VM. Student feedback on the VM is particularly positive about its ease of use, the value of the annotation tool, the quizzes, and the accessibility of all components off‐campus. Analysis of login data indicates considerable, although variable, use of the VM by students outside timetabled teaching. The median number of annual logins per student account for every course exceeded the number of timetabled histology classes for that course (1.6–3.5 times). The total number of annual student logins across all cohorts increased from approximately 9,000 in the year 2007–2008 to 22,000 in the year 2010–2011. The implementation of the VM has improved teaching and learning in practical classes within the histology laboratory and facilitated consolidation and revision of material outside the laboratory. Discussion is provided of some novel strategies that capitalize on the benefits of introducing a VM, as well as strategies adopted to overcome some potential challenges. Anat Sci Educ 7: 389–398. © 2013 American Association of Anatomists.
Smoking history and cognitive function in middle age from the Whitehall II study.

BACKGROUND Studies about the association between smoking and dementia necessarily involve those who have "survived" smoking. We examine the association between smoking history and cognitive function in middle age and estimate the risk of death and of nonparticipation in cognitive tests among smokers. METHODS Data are from the Whitehall II study of 10,308 participants aged 35 to 55 years at baseline (phase 1 [1985-1988]). Smoking history was assessed at phase 1 and at phase 5 (1997-1999). Cognitive data (memory, reasoning, vocabulary, and semantic and phonemic fluency) were available for 5388 participants at phase 5; 4659 of these were retested 5 years later. RESULTS Smokers at phase 1 were at higher risk of death (hazard ratio [HR], 2.00; 95% confidence interval [CI], 1.58-2.52 among men and HR, 2.46; 95% CI, 1.80-3.37 among women) and of nonparticipation in cognitive tests (odds ratio [OR], 1.32; 95% CI, 1.16-1.51 among men and OR, 1.69; 95% CI, 1.41- 2.02 among women). At phase 5 in age- and sex-adjusted analyses, smokers compared with those who never smoked were more likely to be in the lowest quintile of cognitive performance. After adjustment for multiple covariates, this risk remained for memory (OR, 1.37; 95% CI, 1.10-1.73). Ex-smokers at phase 1 had a 30% lower risk of poor vocabulary and low verbal fluency. In longitudinal analysis, the evidence for an association between smoking history and cognitive decline was inconsistent. Stopping smoking during the follow-up period was associated with improvement in other health behaviors. CONCLUSIONS Smoking was associated with greater risk of poor memory. Middle-aged smokers are more likely to be lost to follow-up by death or through nonparticipation in cognitive tests. Ex-smokers had a lower risk of poor cognition, possibly owing to improvement in other health behaviors.
A Practical Model for Rating Software Security

This paper introduces a model for rating software security based on the ISO 25010 standard for software product quality. To rate software security, the authors define eleven system properties, which reflect how a typical software product addresses the confidentiality, integrity, non-repudiation, accountability and authenticity. The paper presents these properties, how to rate them, and how to aggregate the ratings.
Core Conversations For The Greater Good: An Exploration Of Intrapersonal Communication As A Self-Leadership Strategy In Social Entrepreneurs

Social entrepreneurs actively create and apply business and communication strategies to support societal causes. They face many leadership and logistics challenges including the need to balance simultaneously mission advocacy and enterprise administration. This qualitative, phenomenological study examines how social entrepreneurs experience intrapersonal communication, conversations within oneself, as a self-leadership strategy that impacts mission and constituents. Within the vast intrapersonal communication field, this study specifically explored the concepts of self-talk, inner voice and inner dialogue, as well as imagined interactions, where conversations are rehearsed or replayed for perceived strategic advantage. The literature examined showed intrapersonal communication, self-leadership and social entrepreneurship all to be in states of their own development, which offered opportunity for the study to contribute to the evolving knowledge in each of these areas. To understand this phenomenon, face-to-face, in-depth interviews were conducted with 12 social entrepreneur participants. Major findings included descriptions of the experience of intrapersonal communication for strategy and planning; reflection and learning opportunities; specific communication scenario preparation and post-analysis; and self-regulation. This study provides valuable insight to social entrepreneurs, signifying intrapersonal communication as a powerful tool to engage in their respective leadership roles.