Miracle-dz/UniFAR-FTUs huggingface dataset:
Cross-sectional study exploring barriers to adverse drug reactions reporting in community pharmacy settings in Dhaka, Bangladesh

Objectives To assess community pharmacists'/pharmacy technicians' knowledge and perceptions about adverse drug reactions (ADRs) and barriers towards the reporting of such reactions in Dhaka, Bangladesh. Method A cross-sectional study was planned to approach potential respondents for the study. A self-administered questionnaire was delivered to community pharmacists/pharmacy technicians (N=292) practising in Dhaka, Bangladesh. Results The overall response to the survey was 69.5% (n=203). The majority of the sample was comprised of pharmacy technicians (152, 74.9%) who possessed a diploma in pharmacy, followed by pharmacists (37, 18.2%) and others (12, 5.9%). Overall, 72 (35.5%) of the respondents disclosed that they had experienced an ADR at their pharmacy, yet more than half (105, 51.7%) were not familiar with the existence of an ADR reporting body in Bangladesh. Exploring the barriers to the reporting of ADRs, it was revealed that the top four barriers to ADR reporting were ‘I do not know how to report (Relative Importance Index (RII)=0.998)’, ‘reporting forms are not available (0.996)’, ‘I am not motivated to report (0.997)’ and ‘Unavailability of professional environment to discuss about ADR (RII=0.939)’. In addition to these, a majority (141, 69.46%) were not confident about the classification of ADRs (RII=0.889) and were afraid of legal liabilities associated with reporting ADRs (RII=0.806). Moreover, a lack of knowledge about pharmacotherapy and the detection of ADRs was another major factor hindering their reporting (RII=0.731). Conclusions The Directorate of Drug Administration in Bangladesh needs to consider the results of this study to help it improve and simplify ADR reporting in Bangladeshi community pharmacy settings.
Optimization algorithms exploiting unitary constraints

This paper presents novel algorithms that iteratively converge to a local minimum of a real-valued function f (X) subject to the constraint that the columns of the complex-valued matrix X are mutually orthogonal and have unit norm. The algorithms are derived by reformulating the constrained optimization problem as an unconstrained one on a suitable manifold. This significantly reduces the dimensionality of the optimization problem. Pertinent features of the proposed framework are illustrated by using the framework to derive an algorithm for computing the eigenvector associated with either the largest or the smallest eigenvalue of a Hermitian matrix.
Allergic Side Reactions in Tolerization with Encephalomyelitis Protective Effect and Dissociation of Experimental Allergic

LehmannBernhard O. Boehm, Magdalena Tary-Lehmann and Paul V. Felix S. Lichtenegger, Stefanie Kuerten, Susan Faas,http://www.jimmunol.org/content/178/8/4749J Immunol€2007; 178:4749-4756; ;Referenceshttp://www.jimmunol.org/content/178/8/4749.full#ref-list-1This article cites 51 articles, 21 of which you can access for free at: Subscriptionshttp://jimmunol.org/subscriptionsInformation about subscribing to The Journal of Immunology is online at: Permissionshttp://www.aai. org/ji/copyright.htmlSubmit copyright permission requests at: Email Alertshttp://jimmunol.org/cgi/alerts/etocReceive free email-alerts when new articles cite this article. Sign up at:
Modelica in Automotive Simulations - Powernet Voltage Control during Engine Idle

Due to the increasing electric power demand of future vehicles, problems may be expected with the voltage stability of the powernet. In conventional vehicles, control of the powernet voltage can be lost when the loads in the electric powernet request more power than can be supplied by the generator. In that case voltage control of the powernet will be lost since the generator will not be able to follow the voltage setpoint. The voltage of the electric powernet will drop to and follow the battery voltage. This will go impaired with undesired voltage fluctuations resulting in light flicker and blower motor fluctuations, which can be noticed by the vehicle occupants. This will have a negative effect on customer perception. This paper describes both physical plant models and control algorithms, which can be used for simulation of the electric powernet. By making use of the ModelicaVMA structure that has been set-up by Tiller et. al. in [1], a simulation model is set-up including detailed models of: (i) a battery, (ii) generator, (iii) heated front windscreen and (iv) an internal combustion engine. In the case of de-icing the front windscreen during engine idle, simulations have been performed to investigate what the effect is of (i) engine idle speed control and (ii) load switching compared with the conventional situation.
TWITTER COMO ESFERA PÚBLICA EM MOMENTOS DE PROTESTO: Estudo da comunicação pela rede social nos movimentos de 2013, 2015 e 2016 no Brasil.

O trabalho pretende trazer uma reflexao e pesquisa aprofundada da comunicacao que ocorreu entre os atores sociais pelo Twitter, durante tres movimentos de protestos na sociedade brasileira: em junho de 2013, marco de 2015 e marco de 2016. Partimos da observacao das manifestacoes contra o aumento do transporte publico, em 2013, e chegamos a 2016, com o acirramento dos debates em torno do impeachment de Dilma Rousseff, ex-presidente do Brasil, do Partido dos Trabalhadores. A metodologia utilizada foi a analise de conteudo de 900 posts do Twitter, uma analise qualitativa e quantitativa, com categorizacao dos posts, vislumbrando desvendar a forma como se estabeleceram os debates: uso de humor, ironia, forma de convocacao para as ruas, replicacao de mensagens etc. A revisao bibliografica esta sustentada no conceito de esfera publica, sociedade em rede e na teoria dos movimentos sociais, com centralidade no poder da comunicacao, conforme Castells (2015). O estudo demonstra, de maneira geral, que ha polarizacao e extremismo nos debates, dificultando o dialogo racional.
Computationally Light "Multi-Speed" Atomic Memory

Communication demands are usually the leading factor that defines the efficiency of operations on a read/write shared memory emulation in the message-passing environment. In the quest for minimizing the communication demands, the algorithms proposed either require restrictions in the system or incur high computation demands. As a result, such solutions may be not suitable to be used in practice. In this paper we focus on the practicality of implementations of atomic read/write shared memory emulation in the message-passing environment. In particular we investigate implementations that reduce both communication and computation demands. We first examine the shortcomings of the best two (in terms of communication demands) known algorithms that implement atomic single-writer multiple-reader (SWMR) atomic memory. The algorithm ccFast proposed by A. Fernandez et al., achieves optimal communication by allowing each operation to complete in one round trip, with light computation requirements. Unfortunately, it relies on strict limitations on the number of readers. On the other hand, algorithm OhSam, imposes no restrictions on the system, but provides operations that require one and a half communication rounds. In the light of these shortcomings, we present two algorithms that implement multi-speed operations with light computation, and without imposing any restriction on the system. In particular, algorithm ccHybrid adopts the fast (one-round) writes and makes clients to switch to a slow (two-round) mode whenever the system is congested. On the other hand, algorithm OhFast, pushes the responsibility of deciding for the speed switch to the servers. This allows the algorithm to utilize the fast operations, and the slow one-and-a-half-rounds operations of the algorithm presented by T. Hadjistasi et al., whenever is necessary. We prove that both new algorithms preserve atomicity. To evaluate the new algorithms we implement five different atomic memory algorithms in the NS3 simulator, and we compare their performance in terms of operation latency, and ratio of slow over fast operations performed. We test the algorithms over different: (i) topologies, and (ii) operation loads. Our results support that the newly presented algorithms increase the practicality of atomic read/write atomic shared memory implementations in the message-passing, asynchronous environment.
Can transvaginal sonography predict infiltration depth in patients with deep infiltrating endometriosis of the rectum?

BACKGROUND Patients with deep infiltrating endometriosis (DIE) of the rectum often benefit from surgical treatment, including disc or segmental bowel resection, in terms of pain relief and treatment of infertility. The aim of the present study was to evaluate the diagnostic accuracy of transvaginal sonography (TVS) for preoperative detection of rectal DIE. Furthermore, we aimed to investigate whether TVS can predict infiltration depth based on the distortion of characteristic sonomorphologic features of the rectal wall. METHODS Two-hundred patients with symptoms of endometriosis were prospectively assessed by TVS for the presence of rectal DIE before undergoing laparoscopic radical resection of endometriosis including segmental resection of the bowel in affected cases. Sensitivities, specificities, positive and negative predictive values (PPV and NPV), positive and negative likelihood ratios (LHR) and test accuracies were then calculated for the presence of infiltration of the serosal/smooth muscle (S/M) layer and submucosal/mucosal (MUC) layer as demonstrated by TVS and confirmed by histopathological analysis. RESULTS Rectal endometriosis was confirmed in 43 out of 195 (22%) cases. The sensitivity, specificity, PPV, NPV, test accuracy and positive and negative LHR of TVS on S/M infiltration were 98%, 99%, 98%, 99%, 99%,150.24 and 0.02, respectively, whereas respective data on MUC involvement were 62%, 96%, 53%, 97%, 93.8%, 16 and 0.4. CONCLUSIONS TVS is a highly valuable tool in detecting rectal endometriosis preoperatively. Within this, S/M endometriotic infiltration can be accurately predicted, whereas TVS is less valuable for detection of MUC involvement.
Exactly analysis of ZVS behavior for class E inverter with resonant components varying

Class E resonant power amplifier (or inverter) is often applied to design a high frequency switching power converter. The zero voltage switching (ZVS) or zero current switching (ZCS) operation leads the converter to high converting efficiency even the converter works at high frequency. Theoretically, with a high speed power transistor, the class E amplifier can work from several megahertzes to dozen of megahertzes. While the resonant components of class E inverter are varying, the ZVS operation will be shifting around the dominant operating point. In this paper, an exact circuit model is proposed to analyze the circuit behavior for the class E inverter. Unnecessarily mathematical assumption and complicated numerical iteration, the proposed model is easy to analyze the class E circuits in frequency domain. Through this model, a close form formula is proposed to solve the load current and drain-source end voltage of MOSFET at switching instants for steady state without a complicated numerical iterating. By this formula, the optimal and suboptimal conditions for the ZVS operation are expressed in terms of the shifting angle of load current with respect to drain-source voltage. Also, some practical design examples are given to demonstrate the formula calculating results that are good agreement with the numerical iterating results.
Coping, Mindfulness, Stress, and Burnout among Forensic Health Care Professionals

ABSTRACT Although working within forensic services can often prove emotionally challenging and stressful, there has been a surprising lack of research into potential interventions aimed at addressing stress and burnout experienced by forensic health care professionals (FHCPs). This study investigated the role of coping and dispositional mindfulness on stress and burnout among FHCPs employed within secure hospitals. One hundred and fifty-one FHCPs were recruited from five different low and medium secure hospitals (secure psychiatric units) in Wales. A postal research pack was used to collect background information and measures of coping, dispositional mindfulness, stress, and burnout. The study found that FHCPs reported elevated levels of stress and moderate levels of emotional exhaustion and depersonalization but retained a positive sense of personal accomplishment. Higher mindfulness skills were found to be significantly associated with lower levels of maladaptive coping, stress, and burnout. Higher levels of maladaptive coping significantly predicted elevated levels of stress and emotional exhaustion and lower levels of personal accomplishment. In relation to mindfulness, higher levels of acting with awareness significantly predicted lower levels of emotional exhaustion and depersonalization. The results appeared to support the commonly held assertion that forensic services can be stressful and emotionally challenging working environments, which can cause FHCPs to experience elevated levels of burnout and stress. Higher levels of dispositional mindfulness were significantly associated with lower maladaptive coping, stress, and burnout levels, therefore mindfulness based interventions could prove to be viable strategies to help support FHCPs. The results also suggested that higher levels of acting with awareness may help prevent FHCPs from experiencing emotional exhaustion and depersonalization.
Towards a free–free template for CMB foregrounds

A full-sky template map of the Galactic free-free foreground emission component is increasingly important for high sensitivity CMB experiments. We use the recently published Hα data of both the northern and southern skies as the basis for such a template. The first step is to correct the Hα maps for dust absorption using the 100 � m dust maps of Schlegel, Finkbeiner & Davis (1998). We show that for a range of longitudes, the Galactic latitude distribution of absorption suggests that it is 33 per cent of the full extragalactic absorption. A reliable absorption-corrected Hα map can be produced for � 95 per cent of the sky; the area for which a template cannot be recovered is the Galactic plane area |b| < 5 ◦ , l = 260 ◦ 0 ◦ 160 ◦ and some isolated dense dust clouds at intermediate latitudes. The second step is to convert the dust-corrected Hα data into a predicted radio surface brightness. The free-free emission formula is revised to give an accurate expression (1 per cent) for the radio emission covering the frequency range 100 MHz to 100 GHz and the electron temperature range 3000 to 20000 K. The main uncertainty when applying this expression is the variation of electron temperature across the sky. The emission formula is verified in several extended Hii regions using data in the range 408 to 2326 MHz. A full-sky free-free template map is presented at 30 GHz; the scaling to other frequencies is given. The Haslam et al. all-sky 408 MHz map of the sky can be corrected for this free-free component, which amounts to a � 6 per cent correction at intermediate and high latitudes, to provide a pure synchrotron all-sky template. The implications for CMB experiments are discussed.
Video-Based Interventions for Teaching Calendar Skills to Individuals with Autism

Video-Based Interventions for Teaching Calendar Skills to Individuals with Autism Malinda Glasgow Department of Counseling Psychology and Special Education, BYU Educational Specialist Video-Based Instruction (VBI) is an evidence-based practice that has been used for teaching new skills to individuals with disabilities for over two decades. VBI involves the use of pre-recorded videos to teach new skills. Benefits of VBI include flexibility in when the instruction is provided to students and allows students to receive instruction while the teacher is working with another person. A multiple baseline across participants design was used to evaluate the impact of the independent variable of VBI, upon the dependent variables of (a) the percentage of steps completed correctly to make novel calendar entries; (b) the timeliness of arriving for scheduled meetings; and (c) timeliness of completing the scheduled tasks (sending text messages). Three female students aged 25 to 31 with Autism Spectrum Disorder (ASD) living at a residential transition program for adults with ASD and Learning Disabilities participated in the study. One of three participants met criteria (80% accuracy) to correctly make novel calendar entries. Two of the three participants needed an additional prompt to meet criteria (80% accuracy) to correctly make novel calendar entries. One of three participants increased and maintained timeliness for arriving for scheduled meetings. Each participant improved the timeliness of completing the scheduled tasks (sending text messages). This study supports the effectiveness of VBI for the instruction of daily living skills to individuals with ASD. Implications for practitioners, limitations and suggestions for future research are also discussed.
Analyzing tool usage to understand to what extent experts change their activities when mentoring

Automated In-Process Software Engineering Measurement and Analysis (AISEMA) systems represent a major advancement in tracking non-invasively the activities of developers. We have built on the top of an AISEMA system a model that enables to understand better how the tools are used in practical real-life development settings. In this work we evaluate to what extent experienced developers change their activities during mentoring activities in Pair Programming (PP) and, in this case, how long this effect can be observed. We compare how the experienced developers use the tools when working with other experts and when with new developers. The results indicate that there is a notable difference in the way the tools are used between the experts working together and the experts mentoring the new developers that have just joined the team. Moreover, over time the difference between pairs of experts and mixed pairs (experts and novices) working together becomes almost unnoticeable.
Performance Analysis of a Dynamic Parallel Downloading Scheme from Mirror Sites Throughout the Internet

In this paper, we describe paraloading, a novel approach to retrieving files from the Internet by establishing parallel connections with multiple mirror sites. This method contrasts with the conventional download method where the client retrieves data from a single source. The advantages of paraloading over single-connection downloading include improved performance gained from aggregating the bandwidths of the parallel connections, increased efficiency gained from load balancing download requests among the parallel connections. and increased resilience against congestion or failures on any one path, In order for paraloading to work, servers must be mirrored throughout the Internet. However, as mirror sites become more widespread and as end users upgrade to higher connection speeds, we believe that paraloading—if implemented properly— will offer significant performance gain over the traditional singlesource file accesses. Paraloading is a subject that has not been extensively studied by the research community. This paper examines the performance and the design of a paraloading scheme proposed in [21]. We have developed a paraloader application in Java that uses HTTP 1.1 for its range-request and persistent connection features. We have conducted a series of experiments using our paraloader at MIT and at UC Berkeley, and we have found that the performance gains of paraloading are not as good as those claimed in [21]. This suggests that paraloading may not fair well in different network environments. Nevertheless, we believe that there are a number of enhancements that can be made to the paraloader to improve its performance in different network environments. We will outline some of these enhancement techniques and discuss some open research issues on
Recent Developments in String Theory: From Perturbative Dualities to M-Theory

These lectures intend to give a pedagogical introduction into some of the developments in string theory during the last years. They include perturbative T-duality and non perturbative S- and U-dualities, their unavoidable demand for D-branes, an example of enhanced gauge symmetry at fixed points of the T-duality group, a review of classical solitonic solutions in general relativity, gauge theories and tendimensional supergravity, a discussion of their BPS nature, Polchinski's observations that allow to view D-branes as RR charged states in the non perturbative string spectrum, the application of all this to the computation of the black hole entropy and Hawking radiation and finally a brief survey of how everything fits together in M-theory.
Abstract: MAPPED: Predictive Dynamic Analysis Tool for MPI Applications

Formal dynamic analysis of MPI programs is critically important since conventional testing tools for message passing programs do not cover the space of possible nondeterministic communication matches, thus may miss bugs in the unexamined execution scenarios. While modern dynamic verification techniques guarantee the coverage of non-deterministic communication matches, they do so indiscriminately, inviting exponential interleaving explosion. Though the general problem is difficult to solve, we show that a specialized dynamic analysis method can be developed for dramatically reducing the number of interleavings when looking for certain safety properties such as deadlocks. Our MAAPED (Messaging Application Analysis with Predictive Error Discovery) tool collects a single program trace and predicts deadlock presence in other (unexplored) traces of an MPI program for the same input. MAAPED hinges on initially computing the potential alternate matches for non-deterministic communication operations and then analyzes such matches which may lead to a deadlock. The results collected are encouraging.
A note on adaptive Lp regularization

In this paper, the adaptive Lp regularization is proposed for parameter estimation and variable selection. In particular, we focus on the (0 <; p <; 1) case when the adaptive Lp regularizer has a nonconvex penalty. Besides some traditional properties for penalized linear regression model, such as unbiasedness and sparsity, we have shown that the adaptive Lp regularization also enjoy the oracle property. A modified iterative algorithm is utilized to solve the adaptive Lp. By comparing with ordinary least square, adaptive lasso and Lp, the numerical results show that the adaptive Lp is more accurate and sparse.
Offering Pattern Mining Using High Yield Partition Trees

Despite the wide use of data mining techniques in client segmentation and market analysis applications, so far there have been no algorithms that allow for the discovery of strategically important combinations of products (or offerings) - the ones that have the highest impact on the performance of the company We present a novel algorithm for analyzing a multi-product environment and identifying strategically important combinations of offerings with respect to a predefined criterion, such as revenue impact, profit impact, inventory turnover etc. In contrast to the traditional association rule and frequent item mining techniques, the goal of the new algorithm is to find segments of data, defined through combinations of products (rules), which satisfy certain conditions as a group. We present a novel algorithm to derive specialized partition threes, called high yield partition trees, which lead to such segments, and investigate different splitting strategies. The algorithm has been tested on real-world data, and achieved very good performance