Miracle-dz/UniFAR-FTUs huggingface dataset:
Discovering latent affective dynamics among individuals in online mental health-related communities

Discovering dynamics of emotion and mood changes for individuals has the potential to enhance the diagnosis and treatment of mental disorders. In this paper we study affective transitions and dynamics among individuals in online mental health communities. Using social media as form of `sensor', we crawl a large dataset of blogs posted by online communities whose descriptions declared to be associated with affective disorder conditions such as depression, anxiety, or autism. We then apply nonnegative matrix factorization model to extract the common and individual factors of affective transitions across groups of individuals in different levels of affective disorders. We examine the latent patterns of emotional transitions and investigate the effects of emotional transitions across the cohorts. Our framework is novel as it utilizes social media as an online sensing platform of mood and emotional dynamics. Hence, our work has implication in constructing systems to screen individuals and communities at high risks of mental health problems in online settings.
Efficient scheduling scheme for multi-way relay systems with physical-layer network-coding

In this paper, we propose a novel scheduling scheme which can be employed for multi-way relay systems. This new scheme is based on the physical-layer network coding (PNC). To evaluate our proposed scheme, the bit-error-rate (BER) and throughput metrics are analyzed for the multi-way relay systems enduring both channel fading and additive white Gaussian noise (AWGN). Moreover, numerous Monte Carlo experiments are undertaken to compare our proposed new scheduling scheme with other existing strategies. The simulation results demonstrate that our proposed scheme is much more efficient than other existing methods.
Ion-optical studies for a range adaptation method in ion beam therapy using a static wedge degrader combined with magnetic beam deflection

Fast radiological range adaptation of the ion beam is essential when target motion is mitigated by beam tracking using scanned ion beams for dose delivery. Electromagnetically controlled deflection of a well-focused ion beam on a small static wedge degrader positioned between two dipole magnets, inside the beam delivery system, has been considered as a fast range adaptation method. The principle of the range adaptation method was tested in experiments and Monte Carlo simulations for the therapy beam line at the GSI Helmholtz Centre for Heavy Ions Research. Based on the simulations, ion optical settings of beam deflection and realignment of the adapted beam were experimentally applied to the beam line, and additional tuning was manually performed. Different degrader shapes were employed for the energy adaptation. Measured and simulated beam profiles, i.e. lateral distribution and range in water at isocentre, were analysed and compared with the therapy beam values for beam scanning. Deflected beam positions of up to ±28 mm on degrader were performed which resulted in a range adaptation of up to ±15 mm water equivalence (WE). The maximum deviation between the measured adapted range from the nominal range adaptation was below 0.4 mm WE. In experiments, the width of the adapted beam at the isocentre was adjustable between 5 and 11 mm full width at half maximum. The results demonstrate the feasibility/proof of the proposed range adaptation method for beam tracking from the beam quality point of view.
Impact of energy storage systems on the stability of low inertia power systems

This paper discusses the effect of energy storage systems (ESS) on power system stability. The paper first demonstrates the improvement in frequency nadir with ESS. Following this, the effect of the energy storage system (ESS) on small signal stability is investigated. The analysis is further extended to explore the contribution of ESS to improve transient stability by using the same ESS controls and parameter setting. The results demonstrate as expected that ESS can provide an enhanced primary frequency response to reduce the drop in frequency nadir. Small signal stability analysis shows that frequency control coupled with active power control does not affect the damping of interarea modes while voltage control can reduce the damping of these modes. The results also indicate that ESS installed to provide primary frequency support can also contribute to the improvement of transient stability of the system. The studies are performed in the modified version of IEEE 16 machine, 68 bus network.
Accuracy of Computed Tomographic Angiography and Single-Photon Emission Computed Tomography-Acquired Myocardial Perfusion Imaging for the Diagnosis of Coronary Artery Disease.

BACKGROUND Establishing the diagnosis of coronary artery disease (CAD) in symptomatic patients allows appropriately allocating preventative measures. Single-photon emission computed tomography (CT)-acquired myocardial perfusion imaging (SPECT-MPI) is frequently used for the evaluation of CAD, but coronary CT angiography (CTA) has emerged as a valid alternative. METHODS AND RESULTS We compared the accuracy of SPECT-MPI and CTA for the diagnosis of CAD in 391 symptomatic patients who were prospectively enrolled in a multicenter study after clinical referral for cardiac catheterization. The area under the receiver operating characteristic curve was used to evaluate the diagnostic accuracy of CTA and SPECT-MPI for identifying patients with CAD defined as the presence of ≥1 coronary artery with ≥50% lumen stenosis by quantitative coronary angiography. Sensitivity to identify patients with CAD was greater for CTA than SPECT-MPI (0.92 versus 0.62, respectively; P<0.001), resulting in greater overall accuracy (area under the receiver operating characteristic curve, 0.91 [95% confidence interval, 0.88-0.94] versus 0.69 [0.64-0.74]; P<0.001). Results were similar in patients without previous history of CAD (area under the receiver operating characteristic curve, 0.92 [0.89-0.96] versus 0.67 [0.61-0.73]; P<0.001) and also for the secondary end points of ≥70% stenosis and multivessel disease, as well as subgroups, except for patients with a calcium score of ≥400 and those with high-risk anatomy in whom the overall accuracy was similar because CTA's superior sensitivity was offset by lower specificity in these settings. Radiation doses were 3.9 mSv for CTA and 9.8 for SPECT-MPI (P<0.001). CONCLUSIONS CTA is more accurate than SPECT-MPI for the diagnosis of CAD as defined by conventional angiography and may be underused for this purpose in symptomatic patients. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials. gov. Unique identifier: NCT00934037.
Novel use of platelet-rich fibrin matrix and MTA as an apical barrier in the management of a failed revascularization case.

METHOD We report management of a failed revascularization/revitalization case, which could be due to inadequate removal of biofilm and bacteria in dentinal tubules. The use of an apical matrix barrier in form of a platelet-rich fibrin (PRF) membrane for stabilization of MTA in root end apexification procedure is described. The canal was cleansed of old MTA present in the cervical third using H files, irrigated using saline and finally irrigated with 2.5% NaOCl and saline. To obtain canal disinfection, calcium hydroxide paste was temporized in the canal. In subsequent appointments, PRF was placed at the root tip followed by 5-mm apical plug with mineral trioxide aggregate. One week later, the root canal was obturated with thermoplasticized gutta-percha. A 6-month and a 2-year follow ups showed reduction of periapical radiolucency and adequately functional tooth. RESULTS One-visit apexification techniques provide an alternative treatment for failed revascularization cases. Follow up confirmed complete healing periradicularly. CONCLUSION Apexification in one step using an apical barrier of PRF and a plug of MTA can be considered a predictable treatment and may be an alternative to long-term revascularization failures.
Quantification of free amino compounds of rat brain: identification of hypotaurine 1

VARIOUS investigators have reported the levels of free amino acids found in rat brain. Some have determined the levels of many compounds (SHAW and HEINE, 1965; KANDERA et al., 1968), while others have reported amounts present of one or a few compounds (OJA and PIHA, 1966, KANAZAWA and SANO, 1967; NAKAJIMA et al., 1969; NAWIMA and MATSUOKA, 1971 ; BENJAMIN and QUASTEL, 1972). We report here the amounts of 35 free amino acids and related compounds that can be measured in rapidly frozen whole rat brain. One of these compounds, hypotaurine, has been identified as a radioactive intermediate in rat brain slices incubated with [3sS]methionine (PECK and AWAPARA, 1967), but has not previously been quantified in rat brain.
Energy saving estimates for regenerative braking and downhill driving of battery electric vehicles

The basic problem of this paper is an estimation of the regenerative braking and downhill driving in terms of the battery electrical vehicle energy saving capabilities. Using an author's toolkit, the benefits of the DTC control of regeneration upon the scalar one are shown and explained. The propulsion motor drive was experimentally studied on the laboratory imitator.
Magnetoacoustic tomography imaging of biological tissues with magnetic induction under the static field of MRI scanner

Magnetoacoustic tomography with magnetic induction (MAT-MI) is an emerging technique, which collects ultrasound signals by inducing Lorentz force-based vibrations inside biological tissues to reconstruct electrical impedance properties with high spatial resolution. However, previous MAT-MI imaging systems only acquired small amplitudes of ultrasound signals as biological tissues are poor conductors of electricity, which limits the generated eddy current. In this work, we report our pilot MAT-MI experimental study in a magnetic resonance imaging scanner. The present experimental results suggest that MAT-MI under high static magnetic field environment is able to differentiate tissue electrical impedance with improved imaging contrast.
Component repairs: when to perform and what to do?

In this paper, a new indicator is proposed, that reflects the "state" of a major component in function of the ages of the (groups of) parts of which it consists. The contribution of the ages of the parts to the state of the component is defined by their weights. The indicator can be interpreted as the virtual age of the component, and can therefore be used to define age-reduction factors of different types of repair in a virtual age or age-reduction process. The state indicator is used as the time scale in a proportional intensity model. In this way, the joint impact of different repair strategies and covariates on the component failure intensity can be evaluated. This relationship is then used to address the question of which parts to replace whenever a component comes in for repair and when to set the preventive repair interval, in order to minimize the expected costs per unit time until the next repair. An example is given.
Three-dimensional proton magnetic resonance spectroscopic imaging with and without an endorectal coil: a prostate phantom study

Background Proton magnetic resonance spectroscopic imaging (MRSI) of the prostate has been used with only a combination of external surface coils. The quality of spectral fitting of the (choline + creatine)/citrate ([Cho + Cr]/Cit) ratio at different field strengths and different coils is important for quantitative/semi-quantitative diagnosis of prostate cancer. Purpose To evaluate the quality of spectral fitting of the (Cho + Cr)/Cit ratio of a prostate phantom using MRSI at different field strengths and various coils. Material and Methods Experiments were using 1.5-T and 3.0-T MR systems. Measurements were taken on a homemade prostate phantom with different coils: spinal array; abdominal array; and endorectal. The signal-to-noise ratio (SNR) of choline, creatine, and citrate peaks as well as the (Cho + Cr)/Cit ratio in each voxel were compared among groups using multi-way analysis of variance. Results Magnetic field strength, coils, and plane position had a significant effect on the SNR or (Cho + Cr)/Cit ratio, and there were interactions among groups (all P = 0.000). The 1.5-T (0.228 ± 0.044) exhibited a higher (Cho + Cr)/Cit ratio than the 3.0-T (0.125 ± 0.041) magnetic field strength (F = 3238, P = 0.000). The (Cho + Cr)/Cit ratio of both surface coils (0.183 ± 0.065) and all coils (0.181 ± 0.057) was significantly lower than that of the endorectal coil (0.195 ± 0.077) (both P < 0.05), but significant differences in the mean (Cho + Cr)/Cit ratio were not observed if surface coils and all coils were used (P > 0.05). No significant differences were found among the (Cho + Cr)/Cit ratios of all voxels in the middle planes by the post-hoc analyses (all P > 0.05). Conclusion Three-dimensional proton MRSI of prostate metabolites in a phantom using surface coils is feasible and reliable, but (Cho + Cr)/Cit ratios acquired at different magnetic fields and coils were different. This difference should be taken into account when calculating this ratio in a field strength-independent way.
2014 UK national guideline for the management of anogenital herpes

These guidelines concern the management of anogenital herpes simplex virus infections in adults and give advice on diagnosis, management, and counselling of patients. This guideline replaces the 2007 BASHH herpes guidelines and includes new sections on herpes proctitis, key points to cover with patients regarding transmission and removal of advice on the management of HSV in pregnancy which now has a separate joint BASHH/RCOG guideline.
A Research Framework of Crowdfunding Platform Usage Emergent Research Forum papers

In this paper, we define the crowdfunding platform (CFP) a virtual place where project creators document their projects for gaining awareness or social support for making the project proceed. By doing so, project teams can voice the propositions they have worked on or they may also speak out on one party’s behalf for seeking advices. This paper proposes a research framework that targets the issue of CFP in investigating usage behavior in the project teams’ perspectives. It aims at filling the research gap as there is no clear link has been made in understanding how project teams keep up with the usage of CFP in terms of making progresses of proposed projects. In doing so, we believe the power of enormous crowds as project teams can be probably gathered and managed. Moreover, the administrations of CFP can be correctly directed for opening up opportunities for new start-ups.
Concentration-controlled compared with conventional antiretroviral therapy for HIV infection

Objectives To demonstrate the feasibility of a concentration-controlled approach to combination antiretroviral therapy, and to compare the virological responses and safety of this strategy versus conventional fixed-dose therapy. Design A prospective, randomized, 52 week, open-label trial of concentration-controlled compared with conventional dose zidovudine, lamivudine, and indinavir therapy conduced in a university-based general clinical research center in the United States. Patients Forty antiretroviral-naive individuals with plasma HIV-RNA levels > 5000 copies/ml. Interventions Zidovudine, lamivudine, and indinavir plasma concentrations were measured in all participants. Doses were adjusted in those assigned to concentration-controlled therapy to achieve levels equal to or greater than target values. Main outcome measures The proportion of patients who achieved the desired drug concentrations, the proportion of patients with HIV-RNA levels < 50 copies/ml at week 52, and safety and tolerance in the concentration-controlled versus conventional therapy arms. Results Significantly more concentration-controlled recipients achieved the desired concentration targets for all three drugs: 15 of 16 concentration-controlled recipients compared with nine of 17 conventional recipients (P = 0.017) had HIV-RNA levels < 50 copies/ml at week 52. No difference was observed in the occurrence of drug-related clinical events or laboratory abnormalities between the two treatment arms. Conclusion Concentration-controlled therapy implemented simultaneously for three antiretroviral agents was feasible, as well tolerated as conventional therapy, and resulted in a greater proportion of recipients with HIV-RNA levels < 50 copies/ml after 52 weeks. These findings provide a scientific basis to challenge the accepted practice of administering the same dose of antiretroviral agents to all adults, ignoring the concentrations actually achieved.
Prediction for Mobile Application Usage Patterns

Advances in smartphone technology have enabled the prevalence of mobile applications. Such a variety of mobile applications make the smartphone more interesting and more humanized, and running these applications has become the major function of smartphones. However, the limited resources of current smartphone requires both researchers and companies paying more attention to the way of effectively managing mobile applications. A challenging task is how to predict mobile user’s application usage patterns for improving smartphone performance. Although the usage patterns can be treated as the time series prediction problem, traditional time series models are usually too complex to be directly adopted by the smartphone environment. Novel methods that can be running on smartphones, are desperately needed. To this end, in this paper we propose a simple and efficient method named Prediction Algorithm with Fixed Cycle Length (PAFCL), which can be used for predicting mobile application usage patterns in real-time and mobile environment. The experiments on the collected realworld data validate the ability of our prediction methods.
Smart device for optimal use of stored renewable power

One of the major challenges faced by Indian power grid system are the excess use of energy and that results in the imbalance in the power generated and power consumed. The utility regulates the amount of consumption by introducing power cuts and time of use billing methods leading to decrease in the comfort level of consumers. A design for a smart control device, for efficient use of stored renewable energy, is proposed in this paper. The proposed system has a number of aspects. Firstly, this proposed system collects and analyses user consumption data. Dependent on the data the system makes a decision on the source of power to be made available: either renewable power from a battery or power from the grid. The system also calculates the amount of power to be stored, in a storage device. In addition, the system is able to make decisions on who gets priority to continue receiving power in the case of power shortage/failure. We simulated some of the basic system capabilities to switch the source of power depending on: the peak time, consumption of user, and the amount of battery power remaining. The results show that dependency of power from the grid is reduced and by setting priority of device, continuity of service is achieved. Our results indicate that power dependency from the grid can be reduced to 70-80% during peak hours and continuity of service can be achieved for critical devices during power failure.
Hacía un sistema de clasificación automática de sustantivos deverbales

Deverbal nominalizations constitute a rich source of semantic information. To have it recognized may be very useful for different NLP tasks. In this paper we present the nominal lexicons AnCora-Nom, which consists of 817 lexical entries of deverbal nouns, and a series of experiments based on machine-learning techiniques. These experiments allow us to evaluate positively the consistency of annotated data in AnCora-Nom, and to detect the most relevant features for the denotative distinctiion between event and result nominalizations. Furthermore, with these experiments the foundation of an automatic classification system of the deverbal nominalizations according to their denotation are laid.
Data Quality: The Accuracy Dimension

Data Quality: The Accuracy Dimension is about assessing the quality of corporate data and improving its accuracy using the data profiling method. Corporate data is increasingly important as companies continue to find new ways to use it. Likewise, improving the accuracy of data in information systems is fast becoming a major goal as companies realize how much it affects their bottom line. Data profiling is a new technology that supports and enhances the accuracy of databases throughout major IT shops. Jack Olson explains data profiling and shows how it fits into the larger picture of data quality. * Provides an accessible, enjoyable introduction to the subject of data accuracy, peppered with real-world anecdotes. * Provides a framework for data profiling with a discussion of analytical tools appropriate for assessing data accuracy. * Is written by one of the original developers of data profiling technology. * Is a must-read for any data management staff, IT management staff, and CIOs of companies with data assets.
Promoting Mental Health and Community Participation: A study on participatory arts practice, creativity and play in the city of Buenos Aires, Argentina

The purpose of this paper is to describe and analyze a participative health experience involving art, creativity and play, in articulation with the strategy of Comprehensive Primary Health Care focused on mental health. This experience is conducted by a network of institutions in Buenos Aires City. This is an exploratory and descriptive case study based on qualitative research methodologies. From an ethnographic perspective, the fieldwork revolved around interviews and participant observation records. The systematization process followed qualitative analysis content techniques. The outcomes describe a practice cored in intersectoral work, community participation, occupation of public space, creation of community gathering spaces and conformation of solidarity ties for addressing complex psychosocial issues. The main participatory processes focused on community organization and collective artistic creations are described. It is concluded that this experience shows great transforming potential, creating community conditions suitable for joint decision making on the health- illness care process itself.
Interference modeling in a direct-sequence spread-spectrum packet radio network

A technique for characterizing multiuser interference and background noise in a direct-sequence spread-spectrum network is introduced, and packet error probabilities are calculated. The multiuser interference over a packet in the network is modeled as a compound Gaussian multivariate random variable for moderate to large values of the processing gain. The conditional variance is dependent on the number of users and their interference powers. The method works for any interference with statistics of the block interference having a spherically symmetric distribution. The best performance results, in terms of the expected total interference power, are obtained for the case of a large number of interferers with comparable interference powers. As the number of interferers approaches infinity, the performance is the same as that for Gaussian noise. For a small number of interferers, the block error probability curve is broader than that for Gaussian noise. For small values of SNR, the probability of error is smaller than that corresponding to Gaussian noise, and for large values of SNR it is larger. Modifications to the basic direct-sequence scheme that improve performance in the case of one strong interferer are suggested. >