Miracle-dz/UniFAR-FTUs huggingface dataset:
User aspects in synchronous visualisation of multiple photo streams

Photo sharing is becoming a common way of maintaining closeness and relationships with friends and family, and it can evoke pleasurable, enjoyable and exciting experiences. People have fun when sharing photos containing pleasant scenes or friends being caught doing something interesting. There has been a recent increase in studies that focus on the visualisation and sharing of photos using online services or sharing in the home environment using different digital technologies. Although previous studies have focussed on the important issues of photo sharing and visualisation, there is a dearth of research aimed at designing applications that enable people to share and visualise multiple photo streams that originate from multiple sources such as different people or capture devices. In addition, there is a lack of research that links new applications for photo sharing with user experience and the applications' value to the user. This thesis, firstly, offers a new design for synchronous sharing and visualisation of multiple photo streams using temporal and social metadata. Moreover, different features, called transition modes, were added to the system to give a better experience within the system. The experience of photo sharing, however, does not exist without any connection to people or events; it is a social experience depending on people, places and time. Hence, an experimental study was conducted with twenty users, and the results demonstrate high user demand for concurrent presentation of multiple media streams as well as recommended transitions for extending its potential. In the second phase of this thesis, the temporal aspects of multiple photo streams such as manual transition, continuity detection and user desired time were designed and implemented. Following that, the results of the user study demonstrate good comprehension of the users' own and shared photo streams, and their temporal structure, even when presented at relatively high speeds. Users were easily able to contextualise events, recall specific photos and find them using the proposed interface. The final interface is built from the lessons that were learned from the first two phases of this study. In this version, the user was able to share their photos in real time and see them in an ambient display. Our final system for real-time photo sharing as an ambient display was tested in three different trials with three different user groups consisting of extended family, close friends and workplace colleagues. The results showed high user interest for extended family members and in the workplace environment.
Characterization of the procera Tomato Mutant Shows Novel Functions of the SlDELLA Protein in the Control of Flower Morphology, Cell Division and Expansion, and the Auxin-Signaling Pathway during Fruit-Set and Development1[C][W]

procera (pro) is a tall tomato (Solanum lycopersicum) mutant carrying a point mutation in the GRAS region of the gene encoding SlDELLA, a repressor in the gibberellin (GA) signaling pathway. Consistent with the SlDELLA loss of function, pro plants display a GA-constitutive response phenotype, mimicking wild-type plants treated with GA3. The ovaries from both nonemasculated and emasculated pro flowers had very strong parthenocarpic capacity, associated with enhanced growth of preanthesis ovaries due to more and larger cells. pro parthenocarpy is facultative because seeded fruits were obtained by manual pollination. Most pro pistils had exserted stigmas, thus preventing self-pollination, similar to wild-type pistils treated with GA3 or auxins. However, Style2.1, a gene responsible for long styles in noncultivated tomato, may not control the enhanced style elongation of pro pistils, because its expression was not higher in pro styles and did not increase upon GA3 application. Interestingly, a high percentage of pro flowers had meristic alterations, with one additional petal, sepal, stamen, and carpel at each of the four whorls, respectively, thus unveiling a role of SlDELLA in flower organ development. Microarray analysis showed significant changes in the transcriptome of preanthesis pro ovaries compared with the wild type, indicating that the molecular mechanism underlying the parthenocarpic capacity of pro is complex and that it is mainly associated with changes in the expression of genes involved in GA and auxin pathways. Interestingly, it was found that GA activity modulates the expression of cell division and expansion genes and an auxin signaling gene (tomato AUXIN RESPONSE FACTOR7) during fruit-set.
Simulation and calibration of a full-scale sequencing batch reactor for wastewater treatment

The aim of this study is to apply the main mathematical models used in activated sludge reactors, the Activated Sludge Model No. 1 (ASM1) and its variations (ASM2d and ASM3), to predict the behavior of a full-scale sequencing batch reactor (SBR) used for the treatment of domestic wastewater employing the software ASIM®. Two cycles were studied, the step-feed cycle and conventional filling. Samples were taken from the raw influent, from the reactor and from the treated wastewater, and these data were used to calibrate the models. The ASM1 model was the best model to represent the cycle with only an input, while model ASM3 was the best for simulating the scaled filling cycle. This work presents calibrated parameters for the two kinds of filling. The results of these simulations indicate that the calibration process succeeded and can be used as a model for future studies.
Variational bounds on energy dissipation in incompressible flows. III. Convection.

Building on a method of analysis for the Navier-Stokes equations introduced by Hopf [Math. Ann. {bold 117}, 764 (1941)], a variational principle for upper bounds on the largest possible time averaged convective heat flux is derived from the Boussinesq equations of motion. When supplied with appropriate test background fields satisfying a spectral constraint, reminiscent of an energy stability condition, the variational formulation produces rigorous upper bounds on the Nusselt number (Nu) as a function of the Rayleigh number (Ra). For the case of vertical heat convection between parallel plates in the absence of sidewalls, a simplified (but rigorous) formulation of the optimization problem yields the large Rayleigh number bound Nu{le}0.167 Ra{sup 1/2}{minus}1. Nonlinear Euler-Lagrange equations for the optimal background fields are also derived, which allow us to make contact with the upper bound theory of Howard [J. Fluid Mech. {bold 17}, 405 (1963)] for statistically stationary flows. The structure of solutions of the Euler-Lagrange equations are elucidated from the geometry of the variational constraints, which sheds light on Busse{close_quote}s [J. Fluid Mech. {bold 37}, 457 (1969)] asymptotic analysis of general solutions to Howard{close_quote}s Euler-Lagrange equations. The results of our analysis are discussed in the context of theory, recent experiments, andmore » direct numerical simulations. {copyright} {ital 1996 The American Physical Society. }« less
Association of cigarette smoking and depressive symptoms in a forensic population

The link between mental health issues and smoking has been an important area of investigation. However, little is known about this association in a general adult, male forensic population. The aim of this study was to identify demographic and clinical (depression and anxiety) variables that predict smoking in a forensic population. A large cohort of 353 inmates in a high‐security prison underwent a psychiatric interview, including administration of the Montgomery–Åsberg Rating Scale for Depression (MADRS) and Hamilton's Rating Scale for Anxiety (HAM‐A). Multiple regression analysis suggested that younger age and higher depression scores might predict the amount of daily smoking in this population. In contrast, anxiety symptoms were not an independent predictor for smoking in our study. These findings support the need for additional research to focus on those factors associated with smoking in forensic populations. Psychiatric screening for younger male individuals in forensic settings and targeted cognitive‐behavioral interventions to treat depressed smokers may ameliorate the smoking abstinence rate in prisons. Depression and Anxiety 24:325–330, 2007. © 2006 Wiley‐Liss, Inc.
PCR‐probe capture hybridization assay and statistical model for SEN virus prevalence estimation

SEN viruses (SENV) are newly discovered blood‐borne single‐stranded circular DNA viruses that may play a role in liver disease. To date, no serologic assays are available for the detection of SENV antigens or antibodies. We report on a rapid and sensitive molecular assay for the detection of four SENV strains (SENV‐A, ‐C, ‐D, ‐H). This method uses PCR with universal primers and microwell capture hybridization with type‐specific probes. Cut‐off points to define “infected” based on chemiluminescence readings were determined from a statistical mixture model applied to samples from 300 injection drug users (IDUs) in San Francisco. Based on the estimated cut‐off points, we examined the prevalence of SENV infection among 232 healthy US blood donors and assessed sensitivity and specificity of the assay in a small validation sample of infected individuals with partial sequence information. J. Med. Virol. 73:123–130, 2004. © 2004 Wiley‐Liss, Inc.
A New DFT Architecture to Reduce Test Data Volume and Test Application Time

This paper proposes a new DFT Architecture that contains three test scan modes. The test data could be interval broadcast to scan chains whenever the data in corresponding locations are compatible. Compared with the conventional broadcast scan architecture, the proposed architecture achieves better compression ratio in all cases, and the test application time is also induced. The hardware overhead is very low. Both theoretical and experimental results prove efficacy and versatility of the proposed scheme.
SYMPLECTIC METHODS FOR OPTIMIZATION AND CONTROL

1. The language of Symplectic geometry is successfully employed in many branches of contemporary mathematics, but it is worth to remind that the original development of Symplectic geometry was greatly influenced by variational problems. In Optimal control crucial role was plaid by the Hamiltonian system of Pontryagin’s Maximum principle, which itself is the object of Symplectic geometry. In further development of Optimal control priorities were given to Convex analysis. Though Convex and Functional analysis are very helpful in developing the general theory of Extremal problems, they are not at all effective for investigating essentially nonlinear problems in higher approximations, when the convex approximation fails. Therefore, since the discovery of the Maximum principle, there were always attempts of introducing of geometric methods of investigation, though not as universal as the Convex and Linear methods. These new geometric methods were applied mainly for obtaining optimality conditions of higher orders and constructing the optimal synthesis, and today we already have many ingenious devices and beautiful concrete results. It seems very probable that there should be a general framework which could unify different directions of these geometric investigations and merge the Maximum Principle with the theory of fields of extremals of the classical Calculus of Variations. We are convinced that the appropriate language for such unification can be provided by Symplectic geometry, and as a justification for such a conviction we consider the statement , according to which “the manifold of Lagrange multipliers in the problem of conditional extremum is a Lagrangian manifold”. Thus two “Lagrangian” objects — Lagrange multipliers, the main object of the theory of Extremal problems, and Lagrangian submanifolds, main objects of Symplectic geometry, which existed independently for a long time, can be unified.
Identificação de Expressões Multipalavra em Domínios Específicos

Expressoes Multipalavra (EM) sao um dos grandes obstaculos para a obtencao de sistemas mais precisos de Processamento de Linguagem Natural (PLN). A cobertura limitada de EM em recursos linguisticos pode impactar negativamente o desempenho de tarefas e aplicacoes de PLN e pode levar a perda de informacao ou a problemas de comunicacao, especialmente em dominios tecnicos, em que EM sao particularmente frequentes. Este trabalho investiga algumas abordagens para a identiﬁcacao de EM em corpora tecnicos com base em medidas de associacao, informacoes morfossintaticas e de alinhamento lexical. Primeiramente, examina-se a inﬂuencia de alguns fatores sobre o seu desempenho, tais como fontes de informacao para a identiﬁcacao e avaliacao. Se, por um lado, as medidas de associacao enfatizam revocacao, por outro, o metodo de alinhamento centra-se em precisao. Neste trabalho, propoe-se uma abordagem combinada que une os pontos fortes das diferentes abordagens e fontes de informacao utilizando um algoritmo de aprendizado de maquina para produzir resultados mais robustos e precisos. A avaliacao automatica dos resultados mostra que o desempenho do metodo combinado e superior aos resultados individuais das abordagens associativa e baseada em alinhamento para a extracao de EM de portugues e ingles. Alem disso, e discutida a efetividade de cada um desses metodos para a identiﬁcacao de EM especiﬁcas em comparacao com EM de dominio generico. O metodo proposto pode ser usado para auxiliar o trabalho lexicograﬁco, fornecendo uma lista de candidatos a EM.
Optimal linear estimation for multiplicative noise systems with time delay and its duality

This paper investigates the duality between the estimation and control problems for time-delay systems. We first consider the estimation problem for linear discrete-time systems in the presence of multiplicative noise and time delays, where the delays appear in both state and measurement equations. Based on the innovation analysis approach, the linear minimum mean square error estimators are developed in terms of a forward partial difference Riccati equation and forward Lyapunov equations. The Riccati equation is of the same dimension as the plant, therefore compared with the conventional augmentation approach, the presented approach greatly lessens the computational demand when the delay is large. Then the LQR problem for deterministic time-delay systems is discussed based on the dynamic programming technique, and the controller is given in terms of a backward partial difference Riccati equation and backward Lyapunov equations. Finally, after comparing the estimation and control results, we establish a duality between the estimation problem for time-delay systems with multiplicative noise and the LQR problem for deterministic time-delay systems with constraint conditions.
Low complexity interleaved sub-carrier allocation in OFDM multiple access systems

In multicarrier (MC) systems, a possible multiple access scheme is obtained by assigning a disjoint set of sub-carriers to different users. If a user is assigned a set of maximally spaced sub-carriers, then we have an interleaved assignment. This approach is particularly interesting because of the possible independency among the sub-carriers allocated to a single user. We propose a new method to carry out an interleaved sub-carrier assignment efficiently in MC frequency division multiple access (FDMA) systems. According to the conventional approach, the assignment of the sub-carriers to the different users is accomplished prior to the MC modulation that is performed over all the sub-carriers within the bandwidth. The proposed method enables the MC modulation/demodulation of only the sub-carriers really assigned to a specific user, thus becoming much simpler to implement than the conventional approach.
A study of power management techniques for Internet of Things (IoT)

Internet of Things (IoT) advances when regular ordinary objects have inter-connected microchips inside them. These microchips help stay informed concerning other objects, as well as a significant number of these devices sense their surroundings and report it to different machines and also to the people, so is the application of home environment. The viable significance of the IoT is made conceivable through enabling technologies, for example, Wireless Sensor Networks (WSNs), essentially utilized for detecting operations. In any case, there is a principle prerequisite that makes a wireless sensing perfect for use in the IoT, which is the energy efficiency. Much of the time, the sensing devices are battery-powered, so low-power system is prime requirement. Several mechanisms can be adopted in order to reduce the power consumption while designing the devices that implement a wireless protocol. This paper has presented a comparative study of various energy efficient IoT techniques.
Glottolog/Langdoc:Increasing the visibility of grey literature for low-density languages

Language resources can be divided into structural resources treating phonology, morphosyntax, semantics etc. and resources treating the social, demographic, ethnic, political context. A third type are meta-resources, like bibliographies, which provide access to the resources of the first two kinds. This poster will present the Glottolog/Langdoc project, a comprehensive bibliography providing web access to 180k bibliographical records to (mainly) low visibility resources from low-density languages. The resources are annotated for macro-area, content language, and document type and are available in XHTML and RDF.
Safety and Immunogenicity of Novel Recombinant BCG and Modified Vaccinia Virus Ankara Vaccines in Neonate Rhesus Macaques

ABSTRACT Although major inroads into making antiretroviral therapy available in resource-poor countries have been made, there is an urgent need for an effective vaccine administered shortly after birth, which would protect infants from acquiring human immunodeficiency virus type 1 (HIV-1) through breast-feeding. Bacillus Calmette-Guérin (BCG) is given to most infants at birth, and its recombinant form could be used to prime HIV-1-specific responses for a later boost by heterologous vectors delivering the same HIV-1-derived immunogen. Here, two groups of neonate Indian rhesus macaques were immunized with either novel candidate vaccine BCG.HIVA401 or its parental strain AERAS-401, followed by two doses of recombinant modified vaccinia virus Ankara MVA.HIVA. The HIVA immunogen is derived from African clade A HIV-1. All vaccines were safe, giving local reactions consistent with the expected response at the injection site. No systemic adverse events or gross abnormality was seen at necropsy. Both AERAS-401 and BCG.HIVA401 induced high frequencies of BCG-specific IFN-γ-secreting lymphocytes that declined over 23 weeks, but the latter failed to induce detectable HIV-1-specific IFN-γ responses. MVA.HIVA elicited HIV-1-specific IFN-γ responses in all eight animals, but, except for one animal, these responses were weak. The HIV-1-specific responses induced in infants were lower compared to historic data generated by the two HIVA vaccines in adult animals but similar to other recombinant poxviruses tested in this model. This is the first time these vaccines were tested in newborn monkeys. These results inform further infant vaccine development and provide comparative data for two human infant vaccine trials of MVA.HIVA.
Intraday Stock Price Effects of Ad Hoc Disclosures: The German Case

This paper examines intraday stock price and trading volume effects caused by ad hoc disclosures in Germany. The evidence suggests that the stock prices react within 30 minutes after the ad hoc disclosures. The adjustment of the trading volume needs even more time. We find no evidence for abnormal high price nor trading volume reactions in the 5 transactions before ad hoc disclosures. The bigger the company, which announces an ad hoc disclosure, the less severe the abnormal price effect, following the announcement, is. The higher the trading volume at the last trading day before the announcement, the higher the price and trading volume effects, after the ad hoc disclosures, are.
Exploring situationally inappropriate social media posts: An impression management perspective

Purpose – Social media technologies are used by many organizations to project a positive image of their strategies and operations. At the same time, however, there are an increasing number of reports of slip-ups linked to poor situational awareness and flawed self-presentations on social media platforms. The purpose of this paper is to explore the triggers of inappropriate social media posts. Design/methodology/approach – Data were collected during a qualitative study of social media use in 31 organizations in the UK and interpreted using concepts from Erving Goffman’s theory of impression management. Findings – The findings point to a series of demanding triggers, which increase the likelihood of insensitive and contextually inappropriate posts and also damage fostered impressions. Originality/value – The authors identify four triggers linked to inappropriate social media posts, namely: speed and spontaneity; informality; blurred boundaries; and the missing audience. The authors also discuss how extendin.
History of neuropsychological study of sport-related concussion

Abstract Although the medical literature has a long history of description and comment on concussion, the occurrence of concussion within the context of sports other than boxing was not judged to be problematic until the 1980s. Neuropsychological assessment played a critical and integral role in identifying the cognitive sequelae of concussion and mapping out the short- and long-term vagaries in recovery. This paper captures that history and expands upon current applications of neuropsychological assessment in the diagnosis and management of sport-related concussion.
An Algorithm for Accurate Breath Detection in Speech and Song Signals

Automatic and reliable detection of pre-defined events in speech and audio signals is of great importance in many applications, and has been the subject of extensive research in recent years. One such application is in professional voice recordings, where the recorded signal may contain unwanted sounds or effects, and an automatic tool that could detect and manipulate these sounds is highly desirable. In this study we present an effective algorithm for detection of breath sounds in speech or song signals, in order to improve the aesthetics of the recorded voice. The algorithm works by creating a template feature matrix from the mel-frequency cepstral characteristics of several breath examples, and comparing it to feature matrices of consecutive frames of the audio signal, using an adaptive distance threshold, marking each frame as breathy or non-breathy. The initial detection is later refined by an edge detection algorithm, based on various waveform parameters, designed to demarcate the exact boundaries of each breath event and to eliminate possible false detections. Evaluation of the algorithm on a database of speech and songs containing several hundred breath sounds yielded a correct identification rate of 94%, with a specificity of 96%.
Efavirenz Concentrations and Probability of HIV Replication in Children

In 188 HIV-infected children receiving efavirenz, a lower mid-dose (C12) was associated with a higher risk of HIV-1 viral load >400 copies/mL (P = 0.03). Simulations for a normalized population receiving US Food and Drug Administration weight-band dosing predicted that 15% of children would have a C12 below target threshold (<1.0 mg/L) with a 23% risk of viral replication.