Miracle-dz/UniFAR-FTUs huggingface dataset:
Distribution of maximal clique size of the vertices for theoretical small-world networks and real-world networks

Our primary objective in this paper is to study the distribution of the maximal clique size of the vertices in complex networks. We define the maximal clique size for a vertex as the maximum size of the clique that the vertex is part of and such a clique need not be the maximum size clique for the entire network. We determine the maximal clique size of the vertices using a modified version of a branch-and-bound based exact algorithm that has been originally proposed to determine the maximum size clique for an entire network graph. We then run this algorithm on two categories of complex networks: One category of networks capture the evolution of small-world networks from regular network (according to the well-known Watts-Strogatz model) and their subsequent evolution to random networks; we show that the distribution of the maximal clique size of the vertices follows a Poisson-style distribution at different stages of the evolution of the small-world network to a random network; on the other hand, the maximal clique size of the vertices is observed to be in-variant and to be very close to that of the maximum clique size for the entire network graph as the regular network is transformed to a small-world network. The second category of complex networks studied are real-world networks (ranging from random networks to scale-free networks) and we observe the maximal clique size of the vertices in five of the six real-world networks to follow a Poisson-style distribution. In addition to the above case studies, we also analyze the correlation between the maximal clique size and clustering coefficient as well as analyze the assortativity index of the vertices with respect to maximal clique size and node degree.
The Effect of Organizational Forces on Individual Morality: Judgment, Moral Approbation, and Behavior

Abstract: To date, our understanding of ethical decision making and behavior in organizations has been concentrated in the area of moral judgment, largely because of the hundreds of studies done involving cognitive moral development. This paper addresses the problem of our relative lack of understanding in other areas of human morality by applying a recently developed construct—moral approbation—to illuminate the link between moral judgment and moral action. This recent work is extended here by exploring the effect that organizations have on ethical behavior in terms of the moral approbation construct.
Germ line variants predispose to both JAK2 V617F clonal hematopoiesis and myeloproliferative neoplasms.

We conducted a genome-wide association study (GWAS) to identify novel predisposition alleles associated with Philadelphia chromosome-negative myeloproliferative neoplasms (MPNs) and JAK2 V617F clonal hematopoiesis in the general population. We recruited a web-based cohort of 726 individuals with polycythemia vera, essential thrombocythemia, and myelofibrosis and 252 637 population controls unselected for hematologic phenotypes. Using a single-nucleotide polymorphism (SNP) array platform with custom probes for the JAK2 V617F mutation (V617F), we identified 497 individuals (0.2%) among the population controls who were V617F carriers. We performed a combined GWAS of the MPN cases plus V617F carriers in the control population (n = 1223) vs the remaining controls who were noncarriers for V617F (n = 252 140). For these MPN cases plus V617F carriers, we replicated the germ line JAK2 46/1 haplotype (rs59384377: odds ratio [OR] = 2.4, P = 6.6 × 10(-89)), previously associated with V617F-positive MPN. We also identified genome-wide significant associations in the TERT gene (rs7705526: OR = 1.8, P = 1.1 × 10(-32)), in SH2B3 (rs7310615: OR = 1.4, P = 3.1 × 10(-14)), and upstream of TET2 (rs1548483: OR = 2.0, P = 2.0 × 10(-9)). These associations were confirmed in a separate replication cohort of 446 V617F carriers vs 169 021 noncarriers. In a joint analysis of the combined GWAS and replication results, we identified additional genome-wide significant predisposition alleles associated with CHEK2, ATM, PINT, and GFI1B All SNP ORs were similar for MPN patients and controls who were V617F carriers. These data indicate that the same germ line variants endow individuals with a predisposition not only to MPN, but also to JAK2 V617F clonal hematopoiesis, a more common phenomenon that may foreshadow the development of an overt neoplasm.
Risk indicators for depressed mood in youth: Limited association with Aboriginal cultural status.

INTRODUCTION There have been too few studies on urban Aboriginal youth to permit inferences about depressed mood in this subgroup. The purpose of the present study was to determine whether Aboriginal cultural status is independently associated with moderate or severe depressed mood in youth after controlling for other covariates, including socioeconomic status. METHODS Every student between grades 5 and 8 in the city of Saskatoon, Saskatchewan, was asked to complete a questionnaire in February of 2007. Depressed mood was measured with a 12-question depression scale derivative of the 20-question Center for Epidemiologic Studies Depression Scale. RESULTS Four thousand ninety-three youth participated in the school health survey. For Aboriginal youth, the prevalence rate of moderate or severe depressed mood was 21.6% in comparison with 8.9% for Caucasian youth (rate ratio 2.43; 95% CI 1.92 to 3.08). Aboriginal cultural status was not associated with depressed mood after adjustment for other covariates in the final multivariate model (OR 1.132; 95% CI 0.682 to 1.881). Parental educational status and sex were confounders to the association between Aboriginal cultural status and depressed mood. CONCLUSIONS The recognition that Aboriginal cultural status is not independently associated with moderate or severe depressed mood in youth after full multivariate adjustment allows policy makers to acknowledge that mental health disparity prevention is possible because the determinants of health (ie, education) are modifiable (in comparison with Aboriginal cultural status).
AMCIS 2006 Panel Summary: Towards the Service Oriented Enterprise Vision: Bridging Industry and Academics

The complexities and costs of current information architectures, infrastructures, and distributed data and software have provided impetus to emerging conceptualizations of the Service Oriented Enterprise (SOE). The foundations for SOE can be found in current applications of service oriented architecture (SOA), service oriented infrastructure (SOI), business process and workflow, computing resource virtualization, business semantics, service level agreements, increasing standardization, and other areas of applied research. This article reports on a panel held at the 2006 Americas Conference on Information Systems (AMCIS) in Acapulco, Mexico, regarding the impacts of SOE tenets on the IS field. Two organizations that are at the leading edge of the SOE continuum [American Express and Intel] in terms of vision and experiences were represented by Margaret Mitchell and George Brown. In addition, MIS academics were represented on the panel by the authors, researchers from Arizona State University. Both industry and academics brought unique perspectives. American Express’ SOE approach addresses organizational structure and business intelligence project workflow issues. The company hosts one of the largest IT infrastructures capable of handling untold numbers of transactions each second. Intel’s SOE approach addresses the orchestration of services and workflows in the cross-architecture environments characterizing the modern extended global enterprise. Intel is playing a lead role in establishing the OASIS (the Organization for the Advancement of Structured Information Standards) SOA Reference Model (called ‘ebSOA’).
End-to-end QoS resource management for an IP-based DWDM access network

The ever-increasing use of broad-band Internet and complex multimedia applications is pushing fiber closer and closer to the homes. Within the European project IST HARMONICS (Hybrid Access Reconfigurable Multi-wavelength Optical Networks for IP-based Communication Services), an optical access feeder network and resource management framework were developed that tackle this demand for bandwidth and the desire to stimulate the convergence of last-mile access technologies. To cope with the lack of bandwidth in the access and last-mile networks and the different needs of applications and users, the developed management system provides end-to-end quality of service (QoS) while integrating multiple technologies. In this paper, a detailed overview of the end-to-end QoS management framework and novel time slot/wavelength MAC protocol for the optical feeder network is given. End-to-end QoS is based on Differentiated services (DiffServ) at layer 3, various QoS supporting technologies at layer 2, and QoS mappings between both layers. The paper will also focus on the field trial results of the HARMONICS project and give some guidelines for possible problems and solutions in this area.
Analysis of the genetic determinant for production of the pediocin P of Pediococcus pentosaceus Pep1

Pediococcus pentosaceus Pep1 is a vacuum‐packaged Turkish sausage isolate which produces a potentially novel bacteriocin of the pediocin (anti‐Listeria) family of peptides designated as pediocin P. Curing experiments and plasmid profile analysis indicated that both bacteriocin immunity and production determinants were linked and encoded by 9.0 MDa plasmid, pHD1.0. Attempts to transform purified plasmid pHD1.0 into recipient Escherichia coli JM109 cells by electroporation were successful but none of the E. coli JM109 cells were able to express and/or release pediocin P. However, P. pentosaceus PC, a plasmid‐cured variant of P. pentosaceus Pep1 was successfully transformed with pHD1.0 by electroporation and Bac– Bacs P. pentosaceus PC cells restarted to express and/or release pediocin P again as indicated by the presence of zone of growth inhibition of L. plantarumNCDO 955 around colonies.
Ventricular Assist Device Implantation Corrects Myocardial Lipotoxicity, Reverses Insulin Resistance, and Normalizes Cardiac Metabolism in Patients With Advanced Heart Failure

Background— Heart failure is associated with impaired myocardial metabolism with a shift from fatty acids to glucose use for ATP generation. We hypothesized that cardiac accumulation of toxic lipid intermediates inhibits insulin signaling in advanced heart failure and that mechanical unloading of the failing myocardium corrects impaired cardiac metabolism. Methods and Results— We analyzed the myocardium and serum of 61 patients with heart failure (body mass index, 26.5±5.1 kg/m2; age, 51±12 years) obtained during left ventricular assist device implantation and at explantation (mean duration, 185±156 days) and from 9 control subjects. Systemic insulin resistance in heart failure was accompanied by decreased myocardial triglyceride and overall fatty acid content but increased toxic lipid intermediates, diacylglycerol, and ceramide. Increased membrane localization of protein kinase C isoforms, inhibitors of insulin signaling, and decreased activity of insulin signaling molecules Akt and Foxo were detectable in heart failure compared with control subjects. Left ventricular assist device implantation improved whole-body insulin resistance (homeostatic model of analysis–insulin resistance, 4.5±0.6–3.2±0.5; P<0.05) and decreased myocardial levels of diacylglycerol and ceramide, whereas triglyceride and fatty acid content remained unchanged. Improved activation of the insulin/phosphatidylinositol-3 kinase/Akt signaling cascade after left ventricular assist device implantation was confirmed by increased phosphorylation of Akt and Foxo, which was accompanied by decreased membrane localization of protein kinase C isoforms after left ventricular assist device implantation. Conclusions— Mechanical unloading after left ventricular assist device implantation corrects systemic and local metabolic derangements in advanced heart failure, leading to reduced myocardial levels of toxic lipid intermediates and improved cardiac insulin signaling.
Impact of scallop dredging on benthic megafauna: a comparison of damage levels in captured and non-captured organisms

The impact of scallop dredging on benthic megafauna was assessed by direct observation of damage, both in the bycatch and in organisms encountering dredges but not captured. Damage was assessed using a simple 4- point scale adapted for different taxonomic groups. Experi- mental dredging was undertaken on a scallop fishing ground in the north Irish Sea, off the Isle of Man. Divers were deployed immediately after dredges had passed, to record levels of damage to megafauna left in the dredge tracks. Mean damage levels, and the proportions of the 4 damage scores in the bycatch and on the seabed, were the same in most species. Some common species did show differences. The edible crab Cancer pagurus was more severely damaged when not captured, while the starfish Asterias rubens and whelk Neptunea antiqua received greater damage within the bycatch. Capture efficiency for the megafauna was low, rang- ing from 2 to 25% among species. The results indicate that the majority of damage to large benthic invertebrates during scallop dredging occurs unobserved on the seabed, rather than in the bycatch.
Evaluation of interventions based on depression sign scores of adolescents

The aim in this study was to compare effects of problem-based group therapy and occupational therapy on depression scores six months after the Marmara earthquake in Golcuk. The study included 187 seventh grade students. Data were collected with the Children’s Depression Inventory (CDI; Kovacs, 1981, Turkish version by Oy, 1991) and a sociodemographic form. The schools were randomly assigned into two groups, either to receive problem-based group therapy (Group A) or occupational therapy (Group B). CDI was administered before and after the therapies and depression sign scores were recorded. After the first and second sessions of the therapies, there was no significant difference in mean depression scores between both groups, but there was a significant decrease in CDI scores of the adolescents.
The Current State of AI: One Man's Opinion

In this article I wish to address some of the problems that confront AI. I am giving, no doubt, what amounts to no more than one man's opinion. It is my hope, in expressing these opinions, that the issues begin to be discussed in some public forum. I will attempt to start this debate by answering some questions about the field that have been posed to me over time. In some cases, what follows are questions that I have simply posed to myself.
Understanding the complexity of the lived experiences of Foundation Degree sport lecturers within the context of Further Education

This paper provides an ethnographic account of the lived experiences of Further Education (FE) lecturers (N=4) who are engaged in the transmission of pedagogic knowledge within a Foundation Degree. To further understand the experiences of the lecturers the paper draws upon Stones' quadripartite cycle of structuration. This conceptual and methodological approach has informed an understanding of how the transmission of pedagogical knowledge is shaped through connections between the external structures of FE and the embodied practices of agents. The paper draws its empirical perspective from an ethnographic case study exploring relations and experiences of agents within one FE college, Hope (pseudonym). The data highlights the numerous in-situ practices of the lecturers, reflecting how their embodied experiences and resulting agency continually influence the transmission of conjunctural-specific forms of pedagogic knowledge. The data draws attention to the knowledgeability of agents in evolving and reproducing forms of pedagogic knowledge socially, intellectually and corporeally and how this begins to shape the student experience. The paper concludes by reflecting upon the complexity of their role and the outcomes of this for the transmission of pedagogic knowledge within the context of FE and the need to reflect upon how FE supports lecturers within this context.
Rediscovering the Past: Gustav Fechner and Signal Detection Theory

The origins of experimental psychology are found in the theory of discrimination created by Gustav Fechner The theory advanced by Fechner was the first theory of mental judgment that applied the ideas of Gaussian error to human discrimination Despite its powerful theoretical and empirical results, the theory vanished Later embellishments, such as the addition of response bias found in signal detection theory, gave such theories new life, but Fechner never received the credit due to the founder of psychological detection theory
Prediction of Alzheimer’s Disease-Associated Genes by Integration of GWAS Summary Data and Expression Data

Alzheimer’s disease (AD) is the most common cause of dementia. It is the fifth leading cause of death among elderly people. With high genetic heritability (79%), finding the disease’s causal genes is a crucial step in finding a treatment for AD. Following the International Genomics of Alzheimer’s Project (IGAP), many disease-associated genes have been identified; however, we do not have enough knowledge about how those disease-associated genes affect gene expression and disease-related pathways. We integrated GWAS summary data from IGAP and five different expression-level data by using the transcriptome-wide association study method and identified 15 disease-causal genes under strict multiple testing (α < 0.05), and four genes are newly identified. We identified an additional 29 potential disease-causal genes under a false discovery rate (α < 0.05), and 21 of them are newly identified. Many genes we identified are also associated with an autoimmune disorder.
Constructing CDG for program with transfer statements

Program Slicing is a basic technique on Program analysis and converse engineering. The Control Dependence Graph is the basic representation of the source code in Program Slicing. From CDG you can do analysis on control flow. In this paper we present algorithms for constructing Control Dependence Graph for programs with transfer statements. We study on the follow region that is caused by the transfer statements and bring up a method which constructs CDG by using and maintaining the virtual nodes stack. From the method you can do control dependence analysis on program with multiple nesting transfer statements.
Interactions between Abscisic Acid and Ethylene Signaling Cascades

We screened for mutations that either enhanced or suppressed the abscisic acid (ABA)–resistant seed germination phenotype of the Arabidopsis abi1-1 mutant. Alleles of the constitutive ethylene response mutant ctr1 and ethylene-insensitive mutant ein2 were recovered as enhancer and suppressor mutations, respectively. Using these and other ethylene response mutants, we showed that the ethylene signaling cascade defined by the ETR1, CTR1, and EIN2 genes inhibits ABA signaling in seeds. Furthermore, epistasis analysis between ethylene- and ABA-insensitive mutations indicated that endogenous ethylene promotes seed germination by decreasing sensitivity to endogenous ABA. In marked contrast to the situation in seeds, ein2 and etr1-1 roots were resistant to both ABA and ethylene. Our data indicate that ABA inhibition of root growth requires a functional ethylene signaling cascade, although this inhibition is apparently not mediated by an increase in ethylene biosynthesis. These results are discussed in the context of the other hormonal regulations controlling seed germination and root growth.
Insights Into the Design and Optimization of Tunnel-FET Devices and Circuits

Improving the on-current has been the focus of enhancing the performance of tunnel field-effect transistors (TFETs). In this paper, we show that the increase in I_ON is not sufficient to improve the circuit performance with TFETs. As TFETs show a drain-barrier voltage in their output characteristics below which the drain current drastically reduces, the rise/fall time significantly increases. This reduces the dynamic noise margin and limits the performance achievable from TFETs. We show that, in TFETs, the delay of the circuit is determined by the rise/fall time rather than by the propagation delay. The saturation voltage is much higher compared with that of complementary metal-oxide-semiconductor (CMOS) devices, leading to a lower gain and a lower static noise margin in digital circuits, as well as impeding the performance of latch/regenerative circuits. We present a design space comprising of I_ON, a drain saturation voltage, and a drain threshold voltage for minimizing the propagation delay of circuits using TFETs. Finally, for the same off-current and speed of operation, TFET devices tend to suffer from a higher gate capacitance compared with CMOS devices. If this behavior is not taken into account during the circuit design, these devices (although designed for low-power applications) can dissipate more power at the same speed of operation than CMOS counterparts.
Optimizing Single-Trial EEG Classification by Stationary Matrix Logistic Regression in Brain–Computer Interface

In addition to the noisy and limited spatial resolution characteristics of the electroencephalography (EEG) signal, the intrinsic nonstationarity in the EEG data makes the single-trial EEG classification an even more challenging problem in brain-computer interface (BCI). Variations of the signal properties within a session often result in deteriorated classification performance. This is mainly attributed to the reason that the routine feature extraction or classification method does not take the changes in the signal into account. Although several extensions to the standard feature extraction method have been proposed to reduce the sensitivity to nonstationarity in data, they optimize different objective functions from that of the subsequent classification model, and thereby, the extracted features may not be optimized for the classification. In this paper, we propose an approach that directly optimizes the classifier's discriminativity and robustness against the within-session nonstationarity of the EEG data through a single optimization paradigm, and show that it can greatly improve the performance, in particular for the subjects who have difficulty in controlling a BCI. Moreover, the experimental results on two benchmark data sets demonstrate that our approach significantly outperforms the compared approaches in reducing classification error rates.