Miracle-dz/UniFAR-FTUs huggingface dataset:
Lexical and semantic search in cued recall, fragment completion, perceptual identification, and recognition.

Search processes in word-stem cued recall, fragment completion, perceptual identification, and recognition are contrasted. These retention tests involve letters as cues, but the lexical characteristics of these cues vary considerably. In word-stem cued recall, ending letters are presented as recall cues for studied targets (e.g., ONEY as a cue for HONEY). In fragment completion, the test cues consist of letters and spaces (e.g., HO__Y); in perceptual identification, they consist of letter features that survive the mask; and in recognition, they consist of all the letters of the studied word (e.g., HONEY). These differences in retention tests and lexical characteristics were evaluated by manipulating three variables with known effects in cued recall: (a) the presence of study context words emphasizing lexical information, (b) lexical set size corresponding to the number of words that fit the letter cue, and (c) meaning set size corresponding to the number of meaningful associates linked to the studied targets. The results indicated that (a) the presence of study contexts emphasizing lexical information reduced accuracy and response time equally in all tasks, (b) larger lexical set sizes reduced accuracy and response time in all tasks except recognition, and (c) larger meaning set size reduced accuracy in cued recall but not in the other tasks. Lexical search appears to be a significant component process in word-stem cued recall, fragment completion, and identification. Searching through meaning-related concepts encoded during study is a significant component process only in cued recall.
Towards Event Detection and Summarization on Microblogging Platforms

Microblog has been an essential tool in people's daily life recent years. Because of its interactive and its multiple users, current events can get a fast spread speed. As a result, more and more people use this platform to focus on hot spots instead of newspaper or television. However, people can only search for some relevant posts ranked by time sequence with much content redundancy or get some hot key words which are hard to understand without background knowledge. In this paper, we analyze the challenges in event detection on microblogging platforms, and present a research framework for event detection and summarization for microblog data.
Fifteen years after parental divorce: mental health and experienced life-events

The children who experienced their parents’ divorce when the divorce rate in Sweden had begun to grow to higher levels than in preceding decades are today adults. The aim of this study was to investigate if adults who had experienced parental divorce 15 years before the time of our study, differed in mental health from those with continuously married parents, taking into account life events other than the divorce. Instruments used were the Symptom Checklist (SCL-90) measuring mental health and the Life Event questionnaire capturing the number and experience of occurred events. Forty-eight persons, who were 7–18 years old when their parents divorced, constituted the divorce group, and 48 persons matched on age, sex and growth environment formed the study groups. The SCL-90 showed a limited difference between the groups, but not concerning total mental health. A main finding was a difference with regard to sex and age; women aged 22–27 in the divorce group displayed poorer mental health than other participants in both groups. The results from the Life Event questionnaire showed that the divorce group had experienced a significantly larger number of events, and more life events were described as negative with difficult adjustment. A regression analysis showed a significant relation between the SCL-90, Global Severity Index and life events experienced as negative with difficult adjustment, divorce events excluded, but not with the divorce itself. It seems highly desirable to pay more attention than has thus far been paid to girls with experience of childhood divorce at age 7–12.
Future 50 years of mobile radio propagation research

This paper overviews the latest developments in mobile radio propagation research and presents our views looking to the future. Radio propagation research has high affinity to machine learning such as deep learning since it can deal with copious amounts of measurement data. Deep learning is useful for image recognition and can be applied to modeling of building materials. This modeling achieved through the analysis of building images is needed for radio propagation simulations. Therefore, we believe that the application of deep learning to mobile radio propagation research will emerge as a main topic in the future.
Primary Vertebral Tumors: A Review of Epidemiologic, Histological and Imaging Findings, Part II: Locally Aggressive and Malignant Tumors

This second part of a comprehensive review of primary vertebral tumors focuses on locally aggressive and malignant tumors. As discussed in the earlier part of the review, both benign and malignant types of these tumors affect the adult and the pediatric population, and an understanding of their subtleties may increase their effective resection. In this review, we discuss the epidemiologic, histological, and imaging features of the most common locally aggressive primary vertebral tumors (chordoma and giant-cell tumor) and malignant tumors (chondrosarcoma, Ewing sarcoma, multiple myeloma or plasmacytoma, and osteosarcoma). The figures used for illustration are from operative patients of the senior authors (Z.L.G. and J.H.C.). Taken together, parts 1 and 2 of this article provide a thorough and illustrative review of primary vertebral tumors.
Development of real-time image sequence analysis for evaluating posture change and respiratory rate of a subject in bed

An image sequence analysis technique was developed to evaluate posture change and respiratory rate of a subject in bed without any physical contact. Although the image sequence analysis requires many calculations, the system can perform them in real time. The system consisted of a CCD video camera and a PC equipped with a high-speed image processor. To evaluate the system, we tested it on five subjects at a nursing home. The system evaluated 99.4% of the movements of subjects during the total monitoring time (about 61 hours). The waveform was flat when the subject was out of view of the video camera. The system has the possibility of evaluating not only posture changes and respiratory rate, but also sleeping patterns.
Wideband inductorless LNA employing simultaneous 2nd and 3rd order distortion cancellation

This paper presents a wideband inductorless Low Noise Amplifier (LNA) using a technique for canceling 2nd and 3rd order intermodulation products at the same time and hence achieving high second and third order Input Intercept Point (IIP2 and IIP3) at RF and microwave frequencies. The LNA also makes use of noise canceling stage to achieve low noise characteristics and low noise figure in the whole bandwidth. The LNA was designed in 90-nm CMOS process and consists of a shunt feedback common-source input stage to provide wideband input impedance matching, followed by a noise canceling stage. The common source input stage employs two transistors in parallel biased at different operating regions which perform distortion cancellation. IIP2 and IIP3 of the designed LNA are +41dBm and +2.4dBm respectively. The LNA achieved the voltage gain of 17dB while having the noise figure below 2dB from 500MHz–5GHz.
Nanotechnology : Risk , Ethics & Law

This book is a collection of existing articles together with several original contributions that “add to a slowly accumulating literature on Nanotechnology (NT) within the Science Technology and Society field”. That literature in turn reflects an emerging wave of NT products. All this is happening some 50 years after Richard Feynman’s famous speech at Caltech: “There’s plenty of room at the bottom”. Many people will remember the “Mighty Micro” predictions of the late 1970’s, which proved substantially correct. We now have high performance consumer products containing engineered N-particles (e.g., my tennis racket), together with forecasts in the book that “the technology of the vanishingly small will be expansively influential, in the next couple of decades”. Materials 10 times stronger than steel and a fraction of the weight, efficient solar cells and new types of cancer treatment are but a few examples. Although NT is important, the question I would like to consider in this review is whether it really is as “special” as the editors suggest. In particular, does this NT & Society discourse differ from an earlier IT discourse, or from a more general literature on business and ethics (BE). Descriptions of the social benefits of NT products comprise what is referred to (in BE) as “The narrative of the Cornucopians”. “Doomsayers”, on the other hand are telling a different story of “dust” and “grey goo”: the left-overs from a Global binge in which out-of-control nano-replicators consume and ravage the entire biosphere.1 Both camps seem to agree, however, that “NT is outpacing our collective ability to direct (its) course”. Some infer from this that “we” should try to envision the society that we
Community response to alcohol-related problems. Review of an international study.

That's it, a book to wait for in this month. Even you have wanted for long time for releasing this book community response to alcohol related problems review of an international study public health papers; you may not be able to get in some stress. Should you go around and seek fro the book until you really get it? Are you sure? Are you that free? This condition will force you to always end up to get a book. But now, we are coming to give you excellent solution.
A novel model for face recognition

This paper propose a novel face recognition model which includes three parts. Firstly, Principal Component Analysis (PCA) is adopted to perform dimensionality reduction and decorrelation of face images which enables us to aquire decomposition coefficient with acceptable time in the subsequently stage, namely sparse representation-based classification (SRC). SRC is typically used to represent signal sparsely based on overcomplete dictionary established by base elements which describe certain architectural feature of original signal. To represent face images sparsely and efficiently, we construct overcomplete dictionary using eigenfaces as atoms in accordance with SRC theory. In fact, SRC module can be regarded as an l1 -Minimization problem, which is typically underdetermined and its solution is not unique. At last we employ Homotopy to compute the expansion coefficients effectively and fastly. Experimental results based on Yale face database show the validity of PCA combined with SRC and Homotopy algorithm in face recognition.
Charge transfers at metal/oxide interfaces: a DFT study of formation of K delta+ and Au delta- species on MgO/Ag(100) ultra-thin films from deposition of neutral atoms.

Ultra-thin oxide films grown on a metal substrate and of thickness smaller than 1 nm may exhibit unusual properties with respect to thicker films or single crystal oxide surfaces. In a previous study [G. Pacchioni, L. Giordano and M. Baistrocchi, Phys. Rev. Lett. , 2005, 94, 226104] we have suggested that a Au atom adsorbed on a MgO/Mo(100) thin film becomes negatively charged by direct electron tunneling from the Mo metal and that this is related to the low MgO/Mo(100) work function. Here we show, based on periodic DFT supercell calculations, that charge transfer can occur also in the opposite direction by adsorption of electropositive K atoms on MgO/Ag(100) films. We predict the occurrence of a charge transfer also for Au on MgO/Ag(100) films despite the fact that here the work function is 1 eV larger than in MgO/Mo(100). The formation of a layer of adsorbed negative (Au delta-/MgO/Ag) or positive (K delta+/MgO/Ag) adsorbates results in an increase or decrease, respectively, of the MgO/Ag(100) work function as predicted by the classical Gurney model for ionic adsorbates on metal surfaces.
Area dependence of TDDB characteristics for HfO2 gate dielectrics

Weibull slopes, area scaling factors, and lifetime projection have been investigated for both soft breakdown and hard breakdown for the first time, in order to gain a better understanding of, the breakdown mechanism of HfO/sub 2/ gate dielectrics. The Weibull slope /spl beta/ of the hard breakdown for both the area dependence and the time-to-dielectric-breakdown distribution was found to be /spl beta/ = 2, whereas that of the soft breakdown was about 1.4. Estimated ten-year lifetime has been projected to be -2 V.
Um Modelo para Análise de Desempenho de Organizações da Administração Pública Municipal

Neste artigo apresenta-se um modelo para analise do desempenho de organizacoes que operam na esfera da administracao publica municipal. O modelo analitico proposto apresenta quatro quadrantes, onde se encontram dispostas as seguintes variaveis: centralizacao/descentralizacao do poder, objetivos de eficiencia politico-administrativa, objetivos politico-patrimoniais, qualificacao e identificacao com a atividade. Do ponto de vista teorico, o modelo pode representar um relativo avanco na compreensao da relacao entre variaveis especificas das organizacoes e o desempenho das administracao municipais e, consequentemente, servir como instrumento auxiliar para a gestao das organizacoes da administracao municipal.
Epithelial stem cells of the eye surface

Abstract. Objectives: Epithelial stem cells of the eye surface, of the cornea and of the conjunctiva, have the ability to give rise to self renewal and progeny production of differentiated cells with no apparent limit. The two epithelia are separated from each other by the transition zone of the limbus. The mechanisms adopted by stem cells of the two epithelia to accomplish their different characteristics, and how their survival, replacement and unequal division that generates differentiated progeny formation are controlled, are complex and still poorly understood. They can be learned only by understanding how stem cells/progenitors are regulated by their neighbouring cells, that may themselves be differently unspecialised, forming particular microenvironments, known as ‘niches’. Stem cells operate by signals and a variety of intercellular interactions and extracellular substrates with adjacent cells in the niche. Technical advances are now making it possible to identify zones in the corneal limbus and conjunctiva that can house stem cells, to isolate and expand them ex vivo and to control their behaviour creating optimal niche conditions. With improvements in biotechnology, regenerative cornea and conjunctiva transplantation using adult epithelial stem cells becomes now a reality. Results and Conclusions: Here we review our current understanding of stem cell niches and illustrate recent significant progress for identification and characterization of adult epithelial stem cells/progenitors at cellular, molecular and mechanistic levels, improvement in cell culture techniques for their selective expansion ex vivo and prospects for a variety of therapeutic applications.
Tinnitus as a prognostic sign in idiopathic sudden sensorineural hearing loss.

Idiopathic sudden sensorineural hearing loss remains a controversial problem with respect to etiology and the factors that might predict a favorable prognosis. This study evaluated the possible prognostic factors of recovery in 67 patients with idiopathic sensorineural hearing loss treated with steroids (prednisone), plasma expanders (intravenous dextran), and vasodilators (papaverine). Clinical recovery was estimated by contrasting the audiometric results on admission and those at discharge 10 days later. The correlation between various potential prognostic factors and audiological improvement was calculated. Only two factors were found to be associated significantly with hearing improvement: tinnitus (p < .04) and the slope of audiogram on admission (p < .045). Tinnitus and the presence of an ascending audiogram were found to be correlated with a favorable outcome in idiopathic sensorineural hearing loss.
Improved predictive contention window-based broadcast optimisation strategy in vehicular cyber-physical system

Vehicles in the vehicular cyber-physical system should avoid intense competition by adjusting contention windows of media access control (MAC) protocol. Accordingly, we propose an improved prediction contention window adjustment mechanism to optimise the broadcast performance. The set should be updated via a feedback mechanism, so as to solve the problem of changeable vehicular communication scenarios. After that, an improved Markov model is designed to analyse the backoff procedure and to obtain the window sizes related to the attribute set, for the purpose of creating the reference table by Bayesian personalised ranking algorithm. Besides, an estimation mechanism based on hidden Markov is provided to predict the following vehicle's state and to generate a mapping table that consists of the attribute set and size of the window. Comparing with traditional adjustment schemes, extensive simulations demonstrate that the proposed strategy could optimise the broadcast performance effectively in terms of reducing collision probability and transmission delay.
Analysis of Macro-Dataflow Dynamic Scheduling on Nonuniform Memory Access Architectures

The author studies dynamic scheduling of computational tasks with communication costs using nonuniform memory access architecture. The computing model assumes that data transfer can be partitioned into parallel and sequential parts with respect to the task execution. A scheduling heuristic, called least-communication (LC), together with a two-level scheduler is proposed in an attempt to minimize the finish time. The LC selects the task that removes the largest amount of remaining data transfer, if no such tasks are available the task that has been ready to run at the earliest is selected first. The time complexity of LC is O(n/sub 2/). Testing the finish time of LC and first-come first-served scheduling (FCFS) shows that LC is useful for tasks having moderate granularity and whose computation and communication requirements vary widely for different data sets. >
Wavelet transforms and denoising algorithms

This paper addresses generalizations of the Donoho-Johnstone denoising method which is suited for additive Gaussian white noise and uses orthogonal wavelet transforms. We discuss the effects the choice of the wavelet transform has in wavelet shrinkage assuming the noise model to be Gaussian white noise. In addition we formulate some more general noise models that arise from real world data such as medical images and seismic data.
Cryptone: interaction between performers and audiences with inaudible DTMF sounds

We developed a system called Cryptone which enables interaction between performers and audience at venues for music performances. Sound IDs consisting of high frequency DTMF are used to communicate with each other. Cryptone is easy to use in sound performances, and can enhance experiences for music entertainment. The system is implemented on an iPhone, therefore applications are freely obtained via the AppStore.
ETHYL PYRUVATE REDUCES LIVER INJURY IN A MURINE MODEL OF EXTRAHEPATIC CHOLESTASIS

Ethyl pyruvate has been shown to ameliorate liver injury and decrease expression of several proinflammatory cytokines when used to treat mice with hemorrhagic shock or alcoholic hepatitis. Herein we sought to determine whether delayed treatment with ethyl pyruvate dissolved in a Ringer’s-type balanced salt solution—Ringer’s ethyl pyruvate solution (REPS)—would be beneficial in a murine model of common bile duct ligation (CBDL)-induced liver injury. Male C57BL/6 mice were subjected to a sham (n = 6) procedure or CBDL (n = 27). Twenty-four hours after operation, mice subjected to CBDL were randomized to receive treatment with either REPS (40 mg/kg of ethyl pyruvate per dose) or Ringer’s lactate solution (RLS) every 8 h over a 72 h period. Compared with sham-treated controls, CBDL in RLS-treated mice was associated with histological evidence of hepatocellular necrosis as well as significant increases in the plasma concentrations of alanine aminotransferase and total bilirubin. Relative to sham-treated controls, CBDL in RLS-treated mice also was associated with increased hepatic lipid peroxidation and increased hepatic expression of transcripts for TNF, IL-6, and iNOS. All of these changes were significantly attenuated by delayed treatment with REPS after CBDL. In the RLS-treated group, CBDL was associated with increased NF-κB DNA binding in nuclear extracts prepared from liver tissue. Treatment with REPS increased NF-κB DNA binding still further. CBDL was associated with increased hepatocellular apoptosis in both the RLS- and REPS-treated groups. These data support the view that ethyl pyruvate ameliorates hepatic inflammation, lipid peroxidation, and necrosis in mice subjected to CBDL. Ethyl pyruvate warrants further evaluation as an adjunctive treatment to ameliorate liver injury from extrahepatic biliary obstruction.
Data security in cloud computing

Cloud computing is a blossoming and rapidly evolving model, with new features and capabilities being announced regularly. Security of cloud-based applications and data is one of the key concerns of cloud customers. Secure software and secure software life cycle management are fundamental to the protection of cloud services. The information security of cloud systems rest on the classical principles of confidentiality, availability, and integrity, but applied to distributed, virtualized, and dynamic architectures. This paper presents an analysis of data security issues in a cloud environment. Solution exist for a few. Analysis of these solutions can be used to determine the lacunae in the data security issues.
Noisy mean field stochastic games with network applications

We consider a class of stochastic games with finite number of resource states, individual states and actions per states. At each stage, a random set of players interact. The states and the actions of all the interacting players determine together the instantaneous payoffs and the transitions to the next states. We study the convergence of the stochastic game with variable set of interacting players when the total number of possible players grow without bound. We show that the optimal payoffs, the mean field equilibrium payoffs are solution of coupled system of backward-forward equations. The limiting games are equivalent to discrete time anonymous sequential games or to differential population games. Using multidimensional diffusion process, a general mean field convergence to stochastic differential equation is given. We illustrate the controlled mean field limit in wireless networks.