Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy-Efficient Transceiver Design for Hybrid Sub-Array Architecture MIMO Systems

Millimeter-wave (mmWave) communication operated in frequency bands between 30 and 300 GHz has attracted extensive attention due to the potential ability of offering orders of magnitude greater bandwidths combined with further gains via beamforming and spatial multiplexing from multi-element antenna arrays. mmwave system may exploit the hybrid analog and digital precoding to achieve simultaneously the diversity, array and multiplexing gain with a lower cost of implementation. Motivated by this, in this paper, we investigate the design of hybrid precoder and combiner with sub-connected architecture, where each radio frequency chain is connected to only a subset of base station antennas from the perspective of energy efficient transmission. The problem of interest is a non-convex and NP-hard problem that is difficult to solve directly. In order to address it, we resort to design a two-layer optimization method to solve the problem of interest by exploiting jointly the interference alignment and fractional programming. First, the analog precoder and combiner are optimized via the alternating-direction optimization method where the phase shifter can be easily adjusted with an analytical structure. Then, we optimize the digital precoder and combiner based on an effective multiple-input multiple-output channel coefficient. The convergence of the proposed algorithms is proved using the monotonic boundary theorem and fractional programming theory. Extensive simulation results are given to validate the effectiveness of the presented method and to evaluate the energy efficiency performance under various system configurations.
Object Detection in Terrestrial Laser Scanning Point Clouds Based on Hough Forest

This letter presents a novel rotation-invariant method for object detection from terrestrial 3-D laser scanning point clouds acquired in complex urban environments. We utilize the Implicit Shape Model to describe object categories, and extend the Hough Forest framework for object detection in 3-D point clouds. A 3-D local patch is described by structure and reflectance features and then mapped to the probabilistic vote about the possible location of the object center. Objects are detected at the peak points in the 3-D Hough voting space. To deal with the arbitrary azimuths of objects in real world, circular voting strategy is introduced by rotating the offset vector. To deal with the interference of adjacent objects, distance weighted voting is proposed. Large-scale real-world point cloud data collected by terrestrial mobile laser scanning systems are used to evaluate the performance. Experimental results demonstrate that the proposed method outperforms the state-of-the-art 3-D object detection methods.
Insulin-resistant muscle is exercise resistant: evidence for reduced response of nuclear-encoded mitochondrial genes to exercise.

Mitochondrial dysfunction, associated with insulin resistance, is characterized by low expression of peroxisome proliferator-activated receptor-gamma coactivator-1alpha (PGC-1alpha) and nuclear-encoded mitochondrial genes. This deficit could be due to decreased physical activity or a decreased response of gene expression to exercise. The objective of this study was to investigate whether a bout of exercise induces the same increase in nuclear-encoded mitochondrial gene expression in insulin-sensitive and insulin-resistant subjects matched for exercise capacity. Seven lean and nine obese subjects took part. Insulin sensitivity was assessed by an 80 mU.m(-2). min(-1) euglycemic clamp. Subjects were matched for aerobic capacity and underwent a single bout of exercise at 70 and 90% of maximum heart rate with muscle biopsies at 30 and 300 min postexercise. Quantitative RT-PCR and immunoblot analyses were used to determine the effect of exercise on gene expression and protein abundance and phosphorylation. In the postexercise period, lean subjects immediately increased PGC-1alpha mRNA level (reaching an eightfold increase by 300 min postexercise) and protein abundance and AMP-dependent protein kinase phosphorylation. Activation of PGC-1alpha was followed by increase of nuclear respiratory factor-1 and cytochrome c oxidase (subunit VIc). However, in insulin-resistant subjects, there was a delayed and reduced response in PGC-1alpha mRNA and protein, and phosphorylation of AMP-dependent protein kinase was transient. None of the genes downstream of PGC-1alpha was increased after exercise in insulin resistance. Insulin-resistant subjects have a reduced response of nuclear-encoded mitochondrial genes to exercise, and this could contribute to the origin and maintenance of mitochondrial dysfunction.
Control and synthesis of non-interferent timed systems

We focus on the control and the synthesis of secure timed systems which are modelled as timed automata. The security property that the system must satisfy is a non-interference property. Intuitively, non-interference ensures the absence of any causal dependency from a high-level domain to a lower level domain. Various notions of non-interference have been defined in the literature, and in this paper, we focus on strong non-deterministic non-interference (SNNI) and two (bi)simulation-based variants thereof (cosimulation-based SNNI and bisimulation-based SNNI). These properties and their extensions have been mostly studied in the context of discrete event systems, while it is now well-known that time is an important attack vector against secure systems. At the same time, there is an obvious interest in going beyond simple verification to control problems: to be able to automatically make systems secure. We consider non-interference properties in the challenging setting of control of dense-time systems specified by timed automata and we study the two following problems: (1) check whether it is possible to find a sub-system so that it is non-interferent; if yes, (2) compute a (largest) sub-system which is non-interferent. We exhibit decidable sub-classes for these problems, assess their theoretical complexities and provide effective algorithms based on the classical framework of timed games.
Translation and inscription in development projects. Understanding environmental and health care- related organizational change

Recent challenges in society, such as environmental degradation and a declining health care sector, expose capacity problems of existing public organizations. In such situations of when organizational and institutional change is called for, development projects have been utilized to enable exploration of new ways of organizing social activities. We use illustrations of development projects in public management in Sweden to discuss a fundamental organizing problem of projects: how project delimitation and formation takes place. This paper argues that the interface between projects is of a particular interest when organizing development projects. We offer a theoretical discussion of translation and inscription phases, not only because they are important to the understanding of mobilizing action in development projects, but also because they are crucial in a chain of sequential projects that are organized as responses to new situations. paper argues that the interface between projects is of a particular interest when organizing development projects. We offer a theoretical discussion of translation and inscription phases, not only because they are important to the understanding of mobilizing action in development projects, but also because they are crucial in a chain of sequential projects that are organized as responses to new situations. I suggest that a delegation must be appointed to initiate and coordinate actions to improve the environment considerably in the Sundsvall/Timrå region within a ten-year period. (Birgitta Dir1989:9, 1989, our
Adolescent Predictors of a Typology of DSM-5 Alcohol Use Disorder Symptoms in Young Adults Derived by Latent Class Analysis Using Data From an Australian Cohort Study.

OBJECTIVE There is little research examining alcohol use disorder (AUD) symptoms (based on criteria from the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition [DSM-5]) in young adulthood. We assessed symptom structure at 24 years using latent class analysis (LCA), examining relationships between class membership and (a) concurrent alcohol use and DSM-5 AUD severity and (b) adolescent risk factors. METHOD A stratified, random sample of 1,943 adolescents ages 14-15 years was recruited from 44 secondary schools in Victoria, Australia, and interviewed during adolescence and young adulthood. We report findings on drinkers who completed the AUD module (N = 1,268; 51% male). RESULTS Data clearly fit a three-class, dimensional model, comprising "mild symptoms" (63.2%), "moderate symptoms" (32.2%), and "severe symptoms" (4.6%) classes. Class membership was validated by concurrent drinking patterns and in reasonable agreement with DSM-5 AUD severity categories. Relative to mild symptoms class membership, moderate symptoms class membership increased odds of adolescent alcohol problems (odds ratio [OR] = 2.0, 95% CI [1.2, 3.5]) and persisting anxiety/depression symptoms (OR = 1.9, 95% CI [1.2, 3.1]). Daily smoking (OR = 2.6, 95% CI [1.1, 5.9]), persisting anxiety/ depression symptoms (OR = 2.5, 95% CI [1.3, 5.0]), and antisocial behavior (OR = 3.2, 95% CI [1.5, 6.8]) increased odds of severe symptoms class membership. Adolescent daily smoking (OR = 0.3, 95% CI [0.11, 0.81]) and antisocial behavior (OR = 0.3, 95% CI [0.14, 0.64]) were less likely among members of the moderate symptoms class, relative to the severe symptoms class. CONCLUSIONS We found support for a dimensional AUD typology like that in DSM-5. Young adults with more severe AUD symptoms had a different adolescent risk profile than those in the low and moderate classes. These findings provide a focus for preventive intervention in adolescence to limit the severity of AUDs in young adulthood.
When is a Network a Network?: Multi-Order Graphical Model Selection in Pathways and Temporal Networks

We introduce a framework for the modeling of sequential data capturing pathways of varying lengths observed in a network. Such data are important, e.g., when studying click streams in the Web, travel patterns in transportation systems, information cascades in social networks, biological pathways, or time-stamped social interactions. While it is common to apply graph analytics and network analysis to such data, recent works have shown that temporal correlations can invalidate the results of such methods. This raises a fundamental question: When is a network abstraction of sequential data justified? Addressing this open question, we propose a framework that combines Markov chains of multiple, higher orders into a multi-layer graphical model that captures temporal correlations in pathways at multiple length scales simultaneously. We develop a model selection technique to infer the optimal number of layers of such a model and show that it outperforms baseline Markov order detection techniques. An application to eight real-world data sets on pathways and temporal networks shows that it allows to infer graphical models that capture both topological and temporal characteristics of such data. Our work highlights fallacies of network abstractions and provides a principled answer to the open question when they are justified. Generalizing network representations to multi-order graphical models, it opens perspectives for new data mining and knowledge discovery algorithms.
Leveraging metadata to recommend keywords for academic papers

Users of research databases, such as CiteSeerX, Google Scholar, and Microsoft Academic, often search for papers using a set of keywords. Unfortunately, many authors avoid listing sufficient keywords for their papers. As such, these applications may need to automatically associate good descriptive keywords with papers. When the full text of the paper is available this problem has been thoroughly studied. In many cases, however, due to copyright limitations, research databases do not have access to the full text. On the other hand, such databases typically maintain metadata, such as the title and abstract and the citation network of each paper. In this paper we study the problem of predicting which keywords are appropriate for a research paper, using different methods based on the citation network and available metadata. Our main goal is in providing search engines with the ability to extract keywords from the available metadata. However, our system can also be used for other applications, such as for recommending keywords for the authors of new papers. We create a data set of research papers, and their citation network, keywords, and other metadata, containing over 470K papers with and more than 2 million keywords. We compare our methods with predicting keywords using the title and abstract, in offline experiments and in a user study, concluding that the citation network provides much better predictions.
Wireless video streaming over integrated 3G and WLAN networks

Media streaming is a popular application demanding high data rates and hard delay constraints. These requirements raise great challenges in the wireless environment, where signal fading, noise interference and network congestion introduce data losses or corruptions. Today, the availability of the Third Generation (3G) wireless system and the Wireless Local Area Network (WLAN) provides a broader bandwidth to cater for multimedia application. Different characteristics of 3G and WLAN networks result in different attributes in video streaming applications. In this paper, we propose a collaborative scheme across 3G and WLAN networks for video streaming, using layered video coding and Unequal Error Protection (UEP) to improve the perceived video quality.
National Trends in Implementing Wraparound : Results from the State Wraparound Survey , 2007

O ne of the most frequently cited studies on the wrap-around process is a national survey conducted in 1998 examining wraparound implementation across the U.S. This study (Faw, 1999), conducted by Duke University and the Georgetown National Technical Assistance Center for Chil-dren's Mental Health and published in the Burns & Goldman (1999) monograph on wraparound, used surveys of state mental health directors to estimate that wraparound was available in 80%-90% of states and U.S. territories. Based on estimates provided by 24 of the responding 49 states and territories, the authors also estimated that as many as 200,000 youth may be served by the wraparound process annually. Though the number of youth served by wraparound was impressive, the study also found that fewer than half the states had any defined standards for wraparound implementation , that only about half had dedicated resources to support wraparound training and professional development, and that few states measured fidelity or were conducting program evaluation. The authors concluded that there was a " lack of a concurrent definition " of wraparound at the time of the survey, and that results pointed to " a need for a definition as well as an established set of standards " (p.64). Nearly 10 years later, Dr. Faw (now Dr. Stambaugh) partnered with the National Wraparound Initiative (NWI) and the University of Washington Division of Public Behavioral Health & Justice Policy, to conduct a follow up of the 1998 survey. With wraparound having indeed become better un
Multiple Loci within the Major Histocompatibility Complex Confer Risk of Psoriasis

Psoriasis is a common inflammatory skin disease characterized by thickened scaly red plaques. Previously we have performed a genome-wide association study (GWAS) on psoriasis with 1,359 cases and 1,400 controls, which were genotyped for 447,249 SNPs. The most significant finding was for SNP rs12191877, which is in tight linkage disequilibrium with HLA-Cw*0602, the consensus risk allele for psoriasis. However, it is not known whether there are other psoriasis loci within the MHC in addition to HLA-C. In the present study, we searched for additional susceptibility loci within the human leukocyte antigen (HLA) region through in-depth analyses of the GWAS data; then, we followed up our findings in an independent Han Chinese 1,139 psoriasis cases and 1,132 controls. Using the phased CEPH dataset as a reference, we imputed the HLA-Cw*0602 in all samples with high accuracy. The association of the imputed HLA-Cw*0602 dosage with disease was much stronger than that of the most significantly associated SNP, rs12191877. Adjusting for HLA-Cw*0602, there were two remaining association signals: one demonstrated by rs2073048 (p = 2×10−6, OR = 0.66), located within c6orf10, a potential downstream effecter of TNF-alpha, and one indicated by rs13437088 (p = 9×10−6, OR = 1.3), located 30 kb centromeric of HLA-B and 16 kb telomeric of MICA. When HLA-Cw*0602, rs2073048, and rs13437088 were all included in a logistic regression model, each of them was significantly associated with disease (p = 3×10−47, 6×10−8, and 3×10−7, respectively). Both putative loci were also significantly associated in the Han Chinese samples after controlling for the imputed HLA-Cw*0602. A detailed analysis of HLA-B in both populations demonstrated that HLA-B*57 was associated with an increased risk of psoriasis and HLA-B*40 a decreased risk, independently of HLA-Cw*0602 and the C6orf10 locus, suggesting the potential pathogenic involvement of HLA-B. These results demonstrate that there are at least two additional loci within the MHC conferring risk of psoriasis.
Manufacturing antibodies in the plant cell

Plants have long been considered advantageous platforms for large‐scale production of antibodies due to their low cost, scalability, and the low chances of pathogen contamination. Much effort has therefore been devoted to efficiently producing mAbs (from nanobodies to secretory antibodies) in plant cells. Several technical difficulties have been encountered and are being overcome. Improvements in production levels have been achieved by manipulation of gene expression and, more efficiently, of cell targeting and protein folding and assembly. Differences in mAb glycosylation patterns between animal and plant cells are being successfully addressed by the elimination and introduction of the appropriate enzyme activities in plant cells. Another relevant battlefield is the dichotomy between production capacity and speed. Classically, stably transformed plant lines have been proposed for large scale mAb production, whereas the use of transient expression systems has always provided production speed at the cost of scalability. However, recent advances in transient expression techniques have brought impressive yield improvements, turning speed and scalability into highly compatible assets. In the era of personalized medicines, the combination of yield and speed, and the advances in glyco‐engineering have made the plant cell a serious contender in the field of recombinant antibody production.
Dynamics of measles epidemics: Estimating scaling of transmission rates using a time series sir model

Before the development of mass-vaccination campaigns, measles exhibited persistent fluctuations (endemic dynamics) in large British cities, and recurrent outbreaks (episodic dynamics) in smaller communities. The critical community size separating the two regimes was ;300 000-500 000. We develop a model, the TSIR (Time-series Suscep- tible-Infected-Recovered) model, that can capture both endemic cycles and episodic out- breaks in measles. The model includes the stochasticity inherent in the disease transmission (giving rise to a negative binomial conditional distribution) and random immigration. It is thus a doubly stochastic model for disease dynamics. It further includes seasonality in the transmission rates. All parameters of the model are estimated on the basis of time series data on reported cases and reconstructed susceptible numbers from a set of cities in England and Wales in the prevaccination era (1944-1966). The 60 cities analyzed span a size range from London (3.3 3 10 6 inhabitants) to Teignmouth (10 500 inhabitants). The dynamics of all cities fit the model well. Transmission rates scale with community size, as expected from dynamics adhering closely to frequency dependent transmission (''true mass action''). These rates are further found to reveal strong seasonal variation, corresponding to high transmission during school terms and lower transmission during the school holidays. The basic reproductive ratio, R0, is found to be invariant across the observed range of host community size, and the mean proportion of susceptible individuals also appears to be constant. Through the epidemic cycle, the susceptible population is kept within a 3% interval. The disease is, thus, efficient in ''regulating'' the susceptible population—even in small cities that undergo recurrent epidemics with frequent extinction of the disease agent. Recolonization is highly sensitive to the random immigration process. The initial phase of the epidemic is also stochastic (due to demographic stochasticity and random immigration). However, the epidemic is nearly ''deterministic'' through most of the growth and decline phase.
Analysis of a TCP system under polling-type reduction-signal procedures

The performance of a Transmission Control Protocol (TCP) for a system with N connections sharing a common Active Queue Management (AQM) is analyzed for both Additive-Increase Multiplicative-Decrease (AIMD) and Multiplicative-Increase Multiplicative-Decrease (MIMD) control mechanisms, where reduction signals follow either a cyclic or a probabilistic polling-type procedure. The Laplace-Stieltjes Transforms (LST) of the transmission rate of each connection at a polling instant, as well as at an arbitrary moment, are derived. Explicit results are calculated for the mean rate and (in contrast to most polling models) for its second moment. The analysis of the probabilistic MIMD models uses transformations yielding a system's law of motion equivalent to that of an M/G/1 queue with bulk service.
Ecological fitness, genomic islands and bacterial pathogenicity

The compositions of bacterial genomes can be changed rapidly and dramatically through a variety of processes including horizontal gene transfer. This form of change is key to bacterial evolution, as it leads to ‘evolution in quantum leaps’. Horizontal gene transfer entails the incorporation of genetic elements transferred from another organism—perhaps in an earlier generation—directly into the genome, where they form ‘genomic islands’, i.e. blocks of DNA with signatures of mobile genetic elements. Genomic islands whose functions increase bacterial fitness, either directly or indirectly, have most likely been positively selected and can be termed ‘fitness islands’. Fitness islands can be divided into several subtypes: ‘ecological islands’ in environmental bacteria and ‘saprophytic islands’, ‘symbiosis islands’ or ‘pathogenicity islands’ (PAIs) in microorganisms that interact with living hosts. Here we discuss ways in which PAIs contribute to the pathogenic potency of bacteria, and the idea that genetic entities similar to genomic islands may also be present in the genomes of eukaryotes.
The contribution of school psychology in the prevention and coping of Bullying

Bullying is a way of school violence that has been gaining ground on the news and causing concern to parents, educators and society as a whole. It is a phenomenon that has occurred repetitively for a long time, causing serious damage to the psyche of those involved. School Psychology needs intervene in the fight and prevention against bullying. We need adopt specific measures in each situation where it happens and take the phenomenon as something that encompasses the social, family, school and individual environment. Therefore, the presence of school psychologist in schools is of fundamental importance.