Miracle-dz/UniFAR-FTUs huggingface dataset:
Beamforming for multiuser massive MIMO systems: Digital versus hybrid analog-digital

This paper designs a novel hybrid (a mixture of analog and digital) beamforming and examines the relation between the hybrid and digital beamformings for downlink multiuser massive multiple input multiple output (MIMO) systems. We assume that perfect channel state information is available only at the transmitter and we consider the total sum rate maximization problem. For this problem, the hybrid beamforming is designed indirectly by considering a weighed sum mean square error (WSMSE) minimization problem incorporating the solution of digital beamforming which is obtained from the block diagonalization technique. The resulting WSMSE problem is solved by applying the theory of compressed sensing. The relation between the hybrid and digital beamformings is studied numerically by varying different parameters, such as the number of radio frequency (RF) chains, analog to digital converters (ADCs) and multiplexed symbols. Computer simulations reveal that for the given number of RF chains and ADCs, the performance gap between digital and hybrid beamformings can be decreased by decreasing the number of multiplexed symbols. Moreover, for the given number of multiplexed symbols, increasing the number of RF chains and ADCs will increase the total sum rate of the hybrid beamforming which is expected.
A defect in homologous recombination leads to increased translesion synthesis in E. coli

DNA damage tolerance pathways allow cells to duplicate their genomes despite the presence of replication blocking lesions. Cells possess two major tolerance strategies, namely translesion synthesis (TLS) and homology directed gap repair (HDGR). TLS pathways involve specialized DNA polymerases that are able to synthesize past DNA lesions with an intrinsic risk of causing point mutations. In contrast, HDGR pathways are essentially error-free as they rely on the recovery of missing information from the sister chromatid by RecA-mediated homologous recombination. We have investigated the genetic control of pathway choice between TLS and HDGR in vivo in Escherichia coli. In a strain with wild type RecA activity, the extent of TLS across replication blocking lesions is generally low while HDGR is used extensively. Interestingly, recA alleles that are partially impaired in D-loop formation confer a decrease in HDGR and a concomitant increase in TLS. Thus, partial defect of RecA's capacity to invade the homologous sister chromatid increases the lifetime of the ssDNA.RecA filament, i.e. the ‘SOS signal’. This increase favors TLS by increasing both the TLS polymerase concentration and the lifetime of the TLS substrate, before it becomes sequestered by homologous recombination. In conclusion, the pathway choice between error-prone TLS and error-free HDGR is controlled by the efficiency of homologous recombination.
Algorithms Storage System

This paper focuses on the development and application of a particular subsystem that complements the architecture designed for planning, supervising, navigating and controlling autonomous flying vehicles. The algorithm storage system (ASS) was design to facilitate switching efficiently between different ways of performing a task. It was developed for a 10m long blimp that had 4 operational stages with a different vehicle model for each one; hence the need of an architectural subsystem that could manage the different maneuvers that the blimp had to carry out. The system can be easily transferred to any automated vehicle and is an important component in the development of high level artificial intelligence. The paper discusses possible applications such as reinforcement learning, machine learning, multiagent learning and experience gathering.
EVOLUTIONARY NEURAL NETWORKS ALGORITHM FOR THE DYNAMIC FREQUENCY ASSIGNMENT PROBLEM

Wireless communication is used in many different situations such as mobile telephony, radio and TV broadcasting, satellite communication, wireless LANs, and military operations. In each of these situations a frequency assignment problem arises with application-specific characteristics. Researchers have developed different modelling ideas for each of the features of the problem, such as the handling of interference among radio signals, the availability of frequencies, and the optimization criterion. This paper presents a new approach for solving the problem of frequency allocation based on using initially a partial solution respecting all constraints according to a greedy algorithm. This partial solution is then used for the construction of our stimulation in the form of a neural network. In a second step, the approach will use searching techniques used in conjunction with iterative algorithms for the optimization of the parameters and topology of the network. The iterative algorithms used are named hierarchical genetic algorithms (HGA). Our approach has been tested on standard benchmark problems called Philadelphia problems of frequency assignment. The results obtained are equivalent to those of current methods. Moreover, our approach shows more efficiency in terms of flexibility and autonomy.
Technical note: A stratospheric climatology for O 3 , H 2 O, CH 4 , NO x , HCl and HF derived from HALOE measurements

Abstract. The Halogen Occultation Experiment (HALOE) on board the Upper Atmosphere Research Satellite (UARS) has observed mixing ratios of important trace species in the stratosphere for more than a decade since 1991. Here we present a climatology for the stratosphere compiled from HALOE O3, H2O, CH4, NOx, HCl, and HF data for the period from 1991 to 2002. In this approach, the data are averaged over equivalent latitude instead of latitude in order to correctly reproduce the gradients at the transport barriers like the polar vortex edge. The climatology is compiled for 5 degree equivalent latitude bins. Seasonal dependence is taken into account by choosing intervals of one month. The climatology is available as an electronic supplement.
The causes of the English teachers’ problems on professional competence at Vocational High School

The objectives of this research aimed at (i) finding out the causes of the problems in teaching English at vocational high schools and (ii) finding out the possible solution toward the problems of the teachers in teaching English subject at vocational high schools. The researcher applied purposive sampling technique in selecting the participants. The participants consisted of two advanced teachers and two beginner teachers at vocational high schools in Somba Opu sub-district. The additional participants were two headmasters that focused on the possible solution dealing with the problem found by the English teachers at VHS. This research under applied descriptive approach and qualitative method. The data were collected by using two instruments namely semi-structured interview and observation checklist. The data were analyzed by using the framework of Miles and Huberman’s (2012) namely data reduction, data display, and drawing then verifying conclusion. The results of this research mentioned nine causes of the problems on the professional competence of English teachers in teaching at vocational high school and the possible solution toward the causes. The outline of the causes of the problems on professional competence are the less effort of the English teachers to improve the linguistic aspects, lack of English for Spesific Purpose knowledge, less of communicative competence, less preparation of teaching contents, less in using ICT as a teaching method and lack in managing the time and managing the class. The possible solution can draw in this research that the English teachers at VHS have to consider the students’ need, prepare the teaching planning and involved in the teaching training. Thus, this research might become a recommendation to the government and the Educational trainer for facilitating the English teachers at VHS with education training of ESP knowledge and supporting the teachers in developing their professional competence.
Youth in Adult Literacy Education Programs

The growing number of youth enrolling in adult literacy education is a little-documented trend across the nation that is having a major impact on programs in some areas but appears to be unnoticed by educational policymakers and researchers. Relatively steady high school completion rates conceal the fact that a growing proportion of young adults is earning an alternative high school credential rather than completing a traditional high school program (National Center for Education Statistics, 1997b). Although not all of these youth enroll in adult literacy education, adult programs are serving increasing numbers of this population.
A Gaussian Prior for Smoothing Maximum Entropy Models

Abstract : In certain contexts, maximum entropy (ME) modeling can be viewed as maximum likelihood training for exponential models, and like other maximum likelihood methods is prone to overfitting of training data. Several smoothing methods for maximum entropy models have been proposed to address this problem, but previous results do not make it clear how these smoothing methods compare with smoothing methods for other types of related models. In this work, we survey previous work in maximum entropy smoothing and compare the performance of several of these algorithms with conventional techniques for smoothing n-gram language models. Because of the mature body of research in n-gram model smoothing and the close connection between maximum entropy and conventional n-gram models, this domain is well-suited to gauge the performance of maximum entropy smoothing methods. Over a large number of data sets, we find that an ME smoothing method proposed to us by Lafferty performs as well as or better than all other algorithms under consideration. This general and efficient method involves using a Gaussian prior on the parameters of the model and selecting maximum a posteriori instead of maximum likelihood parameter values. We contrast this method with previous n-gram smoothing methods to explain its superior performance.
Novel electrically controlled rapidly wavelength selective photodetection using MSMs

A novel electrically controlled tunable metal-semiconductor-metal (MSM) photodetector is introduced and experimentally demonstrated with 2.5-ns wavelength-switching access time on a GaAs chip for switching between two wavelengths. This detector has a demonstrated 20.1-dB ON/OFF contrast ratio between the selected and the rejected wavelength and can resolve 179-GHz spaced wavelength-division multiplexing channels. In addition, device wavelength switching is achieved with a differential input voltage swing of /spl plusmn/1.65 V. This low bias voltage makes it compatible with complementary metal-oxide semiconductor (CMOS) control electronics for rapid switching.
X-RAY EMISSION DURING ELECTROLYSIS OF LIGHT WATER ON PALLADIUM AND NICKEL THIN FILMS

Electrochemical experiments have been carried out in order to investigate the emission of X-rays during electrochemical hydrogen loading of thin metallic films of Pd and Ni. An estimate of the inventory of the most significant chemical elements in the cells has also been done. The activity was developed within the framework of a cooperative research effort between ENEA and SRI. In order to minimize the background due to environmental contamination, the experimental cells were manufactured using only two materials (pure polyethylene and pure platinum). The thin films were produced by sputtering pure materials on supports made of the same pure polyethylene used for the cells.
People Re-identification across a Camera Network People Re-identification across a Camera Network

The growth of computational capabilities together with the emergence of vision techniques have opened new opportunities for the development of new approaches for video-surveillance systems (people detection, tracking and recognition.). The current work addresses the issue of visual real-time people tracking within a multi-camera network. We studied three different techniques for visual signature and characterization of people: local descrip-tors such as SIFT points, color based descriptors, and a bayesian approach for image patch recognition.
Component Failure Prediction Using Supervised Naive Bayes Classication

Failure prediction for computer hardware components is a compelling application of statistical techniques for anomaly detection. The downtime of a computing service can be reduced significantly if components are replaced in a controlled manner before they fail, rather than after an unexpected crash. In addition, proactively replacing components lowers the risk of data loss due to the simultaneous failure of redundant components. This study applies supervised naive Bayes classification to the kernel event logs of the SCSI subsystem of a computing cluster. After establishing the failure model of the subsystem, we apply anomaly detection techniques to individual workstation event logs to evaluate the accuracy of failure prediction based upon supervised naive Bayes classification.
Evaluation of Measles Vaccine Virus as a Vector to Deliver Respiratory Syncytial Virus Fusion Protein or Epstein-Barr Virus Glycoprotein gp350

Live attenuated recombinant measles vaccine virus (MV) Edmonston-Zagreb (EZ) strain was evaluated as a viral vector to express the ectodomains of fusion protein of respiratory syncytial virus (RSV F) or glycoprotein 350 of Epstein-Barr virus (EBV gp350) as candidate vaccines for prophylaxis of RSV and EBV. The glycoprotein gene was inserted at the 1st or the 3rd position of the measles virus genome and the recombinant viruses were generated. Insertion of the foreign gene at the 3rd position had a minimal impact on viral replication in vitro. RSV F or EBV gp350 protein was secreted from infected cells. In cotton rats, EZ-RSV F and EZ-EBV gp350 induced MV- and insert-specific antibody responses. In addition, both vaccines also induced insert specific interferon gamma (IFN-γ) secreting T cell response. EZ-RSV F protected cotton rats from pulmonary replication of RSV A2 challenge infection. In rhesus macaques, although both EZ-RSV F and EZ-EBV gp350 induced MV specific neutralizing antibody responses, only RSV F specific antibody response was detected. Thus, the immunogenicity of the foreign antigens delivered by measles vaccine virus is dependent on the nature of the insert and the animal models used for vaccine evaluation.
Identifying research talent using web-centric databases

Metrics play a key part in the assessment of scholars. These metrics are primarily computed using bibliometric data collected in offline procedures. In this work, we compare the usage of a publication database based on a Web crawl and a traditional publication database for computing scholarly metrics. We focus on metrics that determine the independence of researchers from their supervisor, which are used to assess the growth of young researchers. We describe two types of graphs that can be constructed from online data: the co-author network of the young researcher, and the combined topic network of the young researcher and their supervisor, together with a series of network properties that describe these graphs. Finally, we show that, for the purpose of discovering emerging talent, dynamic online publication resources provide better coverage than more traditional datasets, and more importantly, lead to very different results.
Health Insurance Status as a Barrier to Ideal Cardiovascular Health for U.S. Adults: Data from the National Health and Nutrition Examination Survey (NHANES)

Background Little is known about the association between cardiovascular (CV) health and health insurance status. We hypothesized that U.S. adults without health insurance coverage would have a lower likelihood of ideal cardiovascular health. Methods and Results Using National Health and Nutrition Examination Survey (NHANES) data from 2007–2010, we examined the relationship between health insurance status and ideal CV health in U.S. adults aged ≥19 years and <65 (N = 3304). Ideal CV health was defined by the American Heart Association (AHA) as the absence of clinically manifested CV disease and the simultaneous presence of 6–7 “ideal” CV health factors and behaviors. Logistic regression modeling was used to determine the relationship between health insurance status and the odds of ideal CV health. Of the U.S. adult population, 5.4% attained ideal CV health, and 23.5% were without health insurance coverage. Those without health insurance coverage were more likely to be young (p<0.0001), male (p<0.0001), non-white (p<0.0001), with less than a high school degree (p<0.0001), have a poverty-to-income ratio less than 1 (p<0.0001) and unemployed (p<0.0001) compared to those with coverage. Lack of health insurance coverage was associated with a lower likelihood of ideal CV health; however, this relationship was attenuated by socioeconomic status. Conclusions U.S. adults without health insurance coverage are less likely to have ideal CV health. Population-based strategies and interventions directed at the community-level may be one way to improve overall CV health and reach this at-risk group.
Searching in Navigable Small-World Network

Shortages of traditional intelligent agent searching are slow speed and having robustness problems, because of the large amount of information to exchange. Therefore, it cannot meet the requirements of society now. In order to improve the search efficiency and fault tolerance, this paper studies the small world network model of Kleinberg, and finds this kind of network structure can be contained in a bounded path length. Kleinberg's model is the foundation of the proposed solution. Forming a navigable small world network and providing an external view of a consistent entity as a unified service by AMS and DF. The result indicate that the proposed navigable network can reduce the scale of information exchange from n2 to (2.5(logn))2, and keep the search failure rate below 10%.
Operation of a Self-Controlled Synchronous Motor Without a Shaft Position Sensor

The starting operation of a self-controlled synchronous motor without a shaft position sensor is studied. A method which permits the determination of the rotor position at a standstill by voltage sensing is explained. Various forced commutation techniques and starting, strategies are considered. Torque characteristics for natural commutation operation are studied, providing simple formulas with good precision. Experimental results obtained with a prototype drive system are given.
Building School Capacity: Shared Leadership and Professional Learning Communities. A research Proposal

If schools are to meet the needs of students and achieve educational success, to achieve this, simultaneously, should provide opportunities for teachers to innovate, share experiences and learn together. Schools should thus be configured as Professional Learning Communities (PLCs). This article is linked to building the collective capacity of the school through distributed leadership. It combines in a mixed design description of the situation in Elementary and Secondary schools of Andalusia, with in-depth case studies, properly selected; they can show progress in their levels of educational success, according to the degree of distributed leadership development that promotes the development of the school as a Professional Learning Community. We are interested more than good practices in practices that evidence success in education achievements. We would like to identify and describe the conditions and processes in which direction´s leadership makes possible to development schools as PLCs is one of the principal aims of the research proposal.
Discrete multitone modulation with biorthogonal filter bank

Discrete multitone (DMT) modulation is used for the efficient transmission of data over nonideal channels. By nonideal channel, we mean that the channel with the frequency response is not flat. Also the noise is present in this kind of channel. In recent years, optimization of filter banks for the DMT systems is considered. Recent researches focused on the orthonormal filter banks have shown that the principal component filter bank (PCFB) is optimal for this application. We focus on one class of biorthogonal filter banks and find the optimum solution for this class. We also have shown that the performance of this structure is better than the optimum orthonormal filter bank.
Improving Performance of Texture Based Face Recognition Systems by Segmenting Face Region

Textures play an important role in recognition of images. This paper investigates the efficiency of performance of three texture based feature extraction methods for face recognition. The methods for comparative study are Grey Level Co_occurence Matrix (GLCM), Local Binary Pattern (LBP) and Elliptical Local Binary Template (ELBT). Experiments were conducted on a facial expression database, Japanese Female Facial Expression (JAFFE). With all facial expressions LBP with 16 vicinity pixels is found to be a better face recognition method among the tested methods. Experimental results show that classification based on segmenting face region improves recognition accuracy. Keywords— face recognition, face anthropometric measures, grey level co_occurence matrix, local binary pattern, elliptical local binary template, chi-square statistic.
Proofs of the Parisi and Coppersmith‐Sorkin random assignment conjectures

Suppose that there are n jobs and n machines and it costs cij to execute job i on machine j. The assignment problem concerns the determination of a one‐to‐one assignment of jobs onto machines so as to minimize the cost of executing all the jobs. When the cij are independent and identically distributed exponentials of mean 1, Parisi [Technical Report cond‐mat/9801176, xxx LANL Archive, 1998] made the beautiful conjecture that the expected cost of the minimum assignment equals $\sum_{i=1}^n (1/i^2)$. Coppersmith and Sorkin [Random Structures Algorithms 15 ( 1999 ), 113–144] generalized Parisi's conjecture to the average value of the smallest k‐assignment when there are n jobs and m machines. Building on the previous work of Sharma and Prabhakar [Proc 40th Annu Allerton Conf Communication Control and Computing, 2002 , 657–666] and Nair [Proc 40th Annu Allerton Conf Communication Control and Computing, 2002 , 667–673], we resolve the Parisi and Coppersmith‐Sorkin conjectures. In the process we obtain a number of combinatorial results which may be of general interest. © 2005 Wiley Periodicals, Inc. Random Struct. Alg. 2005
Oh, Won't You Stay: A Multilevel Analysis of the Difficulties in Retaining Qualified Teachers

The No Child Left Behind Act of 2001 requires that every classroom be staffed with a "qualified teacher. " A growing literature is focusing on what causes teachers to leave their jobs and/or the teaching occupation, rather than solely on factors influencing teacher recruitment. This article uses nationally representative data from the 1999-2000 Schools and Staffing Survey to address teacher attrition in a multilevel analytic framework, accounting for the clustering of teachers within schools within states. Drawing from a theoretical framework rooted in occupational wage theory and social identity theory, we find teachers are more likely to leave if (a) they are specialized instructors (especially foreign language); (b) they have a probationary teaching certificate; (c) they are less experienced; (d) the racial composition of the students is heavily minority; (e) the students' racial composition is less matched to their own race/ethnicity; and, for teachers of some races, (f) the teaching staff's racial composition is more matched to their own race/ethnicity.