Miracle-dz/UniFAR-FTUs huggingface dataset:
The cognitive interview: Are the interviewers' memories enhanced, too?

The cognitive interview is a technique which has been developed by Geiselman and Fisher to help police officers interrogating witnesses. Previous research has shown the advantage of the cognitive interview over standard interview procedures. Reports generated with this interview technique comprise an average of 35% more correct information while the amount of incorrect information is usually unaffected. In previous studies, the number of correct and in correct details was counted directly from the transcriptions of the interviewee statements. The present experiment was conducted to investigate the novel idea of whether there would also be an advantage of the cognitive interview when the written accounts/protocols of the interviewers were used to analyse the amount of correct and incorrect information they produced. Interviewes saw a video film showing a blood donation event. One week later they were questioned about the film using either a cognitive or a standard interview. The interviewers prepared from their memory written accounts/protocols of the event. The number of correct, false, and confabulated details was counted from these protocols and from the tape recordings of the interviews. There sults showed when interviewed using the cognitive interview the interviewees recalled, as hypothesized, about 60% more correct information than did those interviewed using standard interviews. This advantage of the cognitive interview was preserved in the interviewer accounts/protocols where about 50% more correct facts were recalled by the interviewers.
Microbial Cell Factories Identification of Potentially Safe Promising Fungal Cell Factories for the Production of Polyketide Natural Food Colorants Using Chemotaxonomic Rationale

Background: Colorants derived from natural sources look set to overtake synthetic colorants in market value as manufacturers continue to meet the rising demand for clean label ingredients – particularly in food applications. Many ascomycetous fungi naturally synthesize and secrete pigments and thus provide readily available additional and/or alternative sources of natural colorants that are independent of agro-climatic conditions. With an appropriately selected fungus; using in particular chemotaxonomy as a guide, the fungal natural colorants could be produced in high yields by using the optimized cultivation technology. This approach could secure efficient production of pigments avoiding use of genetic manipulation.
Trajectory-based visualization of web video topics

While there have been research efforts in organizing large scale web videos into clusters or topics, efficient browsing of web video topics remains a challenging problem not yet addressed. The related issues include how to efficiently browse and track the evolution of topics and eventually locate the videos of interest. In this demo paper, we introduce a novel interface for visualizing video topics as evolution trajectories. The trajectory visualization is capable of highlighting milestone events and depicting the topical hotness over time. The interface also allows multi-level browsing from topics to events and to videos, resulting in search exploration could be more efficiently conducted to locate videos of interest. In addition, recommendation of topics accordingly to three-hots content-hot, evolution-hot and potential-hot, can be easily supported by our system. A user study on three months. YouTube videos using our interface demonstrates the efficiency of our system in browsing web videos.
An Experimental Investigation of Tone and Intonation in Cantonese

Abstract It is generally believed that all languages, no matter how tonal, have grammatical intonation of some kind. A fall in pitch at the end of ordinary declarative sentences is thought to be universal. Hong Kong Cantonese has six contrastive tones, two rising and four level, according to the impressionistic account given here. The experimental results presented here indicate that sentence-final tone lowering does occur in Cantonese while contrastive stress apparently does not have a significant effect on pitch. In addition, it appears that although intelligibility is somewhat worse sentence-finally than sentence-medially, the tonal distinctions are not neutralized in final position.
Current research themes in software engineering: An application of text mining

This paper presents the findings of a research project concerned with extracting the themes currently being researched within the Software Engineering field by automatically processing a collection of papers published thus far in 2015. Natural Language Processing techniques have been applied to extract the key features of each publication, with publications then being clustered with similar papers to identify their common themes and highlight the key themes currently being researched within the Software Engineering domain. The most dominant active theme was Education, with a cluster of papers concerning the teaching of software engineering, while other relevant topics included Components and Requirements.
Adaptive Digital Compensation of Analog Circuit Imperfections for Cascaded Delta-Sigma Analog-to-Digital Converters

1. Goal: high resolution and large bandwidth ADCs. 2. ADCs: oversampling, noise shaping, (one-bit quantizer); trade speed for resolution; trade analog-circuit accuracy for digital-circuit complexity. 3. Architecture: cascaded 2-0 delta-sigma (2-0 MASH) ADC; p robust stability and speed; high sensitivity to analog-circuit imperfections. 4. Issues of the MASH ADCs: designing the structure; handling the path mismatch; implementing the high-speed circuitry.
Knowledge and attitudes towards digital radiography and CBCT among orthodontists.

The aim of this study was to evaluate knowledge of and attitudes towards digital radiography and Cone Beam Computed Tomography (CBCT) among orthodontists. A questionnaire with 24 questions was emailed to orthodontists practising in Turkey. The questionnaire comprised sections pertaining to demographic characteristics and clinical specialties, attitudes towards digital imaging, and knowledge of CBCT. Data from 366 questionnaires were analysed. The mean age of responders was 35 years (range: 24-68 years); 294 orthodontists (87.5%) preferred digital radiography for all procedures, with 49.4% reporting that they had learned about CBCT from seminars. A total of 206 respondents (56.3%) used CBCT during orthodontic diagnosis. The most frequently cited indication for CBCT was determination of impacted teeth and other oral abnormalities (80.9%), followed by cleft lip and palate (57.4%); 196 orthodontists (53.6%) believed that CBCT lectures should be included in the clinical phase of dental education, with 282 (77%) indicating a willingness to learn more about CBCT. Our data indicate that digital radiography is widely used by orthodontists; the preference for CBCT for evaluation of oral and craniofacial anomalies will likely increase commensurate with greater technical competence.
Stable Coactive Learning via Perturbation

Coactive Learning is a model of interaction between a learning system (e.g. search engine) and its human users, wherein the system learns from (typically implicit) user feedback during operational use. User feedback takes the form of preferences, and recent work has introduced online algorithms that learn from this weak feedback. However, we show that these algorithms can be unstable and ineffective in real-world settings where biases and noise in the feedback are significant. In this paper, we propose the first coactive learning algorithm that can learn robustly despite bias and noise. In particular, we explore how presenting users with slightly perturbed objects (e.g., rankings) can stabilize the learning process. We theoretically validate the algorithm by proving bounds on the average regret. We also provide extensive empirical evidence on benchmarks and from a live search engine user study, showing that the new algorithm substantially outperforms existing methods.
Annotation Process, Guidelines and Text Corpus of Small Non-Coding RNA Molecules: the MiNCor for MicroRNA Annotations

MicroRNA are small non-coding molecules that act as post-transcriptional regulators of gene expression in a wide spectrum of biological states. Mostly, the information about microRNA is embedded in unstructured data (text files) which needs specific text mining techniques for its retrieval and analysis. These are generally based on supervised (or semi-supervised) learning methods, which require collections of neatly annotated and categorised training data. In this study we propose a comprehensive granular annotation protocol for the annotation of non-coding RNA molecules, focusing primarily on microRNA mentions. This annotation protocol was used to construct a manually annotated corpus (MiNCor Gold) for microRNA mentions as well as a large semi-automatically generated microRNA mentions silver standard corpus (MiNCor Silver) and a large microRNA name dictionary. Therefore, the efficiency of these standards was evaluated using a named entity recognition (NER) system in comparison with another microRNA mentions standard freely available online. The NER system trained with our silver corpus showed a better performance, with higher precision (96,67% vs. 94,00%) and recall (97,57% vs. 95,00%) on their test data and on our (precision 89,26% vs. 88,97% and recall 90,03% vs. 86,74%). The corpora and guidelines are freely downloadable at http://zope.bioinfo. cnio.es/ mincor/minacor.tar. gz.
Cholera outbreak in far-western region of Nepal.

BACKGROUND There was an outbreak of diarrheal diseases in districts of far-western region of Nepal in late-2009 followed by massive outbreak in Jajarkot district of mid-western region in early-2009. The objective of this study was to explore the causative organism and analyse the sensitivity pattern of the antibiotics in the local context to suggest the use of medicine in future diarrhea outbreak in Nepal. METHODS A descriptive study was conducted from three districts of Far-western region (Achham, Baitadi and Doti) from middle of the April to September 2009 to observe the trend of morbidity.Similarly, 51 stool samples were taken from the patients for the laboratory analysis using Cary Blair Transport Media and carried out microbiological analysis. RESULTS Out of the total 51 stool samples tested, 27 were diagnosed as Vibrio cholerae. All the isolates were sensitive to commonly used antibiotics except Nalidixic acid and Cotrimoxazole. The highest number of cases was seen in the month of July-August. CONCLUSIONS Cholera was found to be the most important cause for the occurrence of outbreak in far-western region in 2009. The commonly used antibiotics can be prescribed along with the appropriate rehydration measures.
Possible association of a polymorphism of the tryptophan hydroxylase gene with suicidal behavior in depressed patients.

OBJECTIVE This study was designed to test the hypothesis that serotonin-system-related genes may be correlated with suicide risk. METHOD Fifty-one unrelated Caucasian inpatients with major depression, with or without a history of suicidal acts, were genotyped for a biallelic polymorphism at the tryptophan hydroxylase locus. RESULTS The less common tryptophan hydroxylase U allele occurred with greater frequency in the patients who had attempted suicide. A logistic regression analysis confirmed an association between tryptophan hydroxylase genotype and lifetime history of suicide attempts. CONCLUSIONS Serotonergic-system-related genes may influence the risk of suicide in persons with major depression.
Improved closed loop performance and control signal using evolutionary algorithms based PID controller

Proportional-Integral-Derivative (PID) controllers are the most widely used controllers in industry because of their simplicity and robustness. Different values of PID parameters make different step response, so an increasing amount of literature is devoted to proper tuning of PID controllers. The problem merits further investigation as traditional tuning methods make large control signal that can damage the system but evolutionary algorithms based tuning methods improve the control signal and closed loop performance. In this paper three tuning methods for PID controllers have been studied namely Ziegler and Nichols, which is traditional tuning method and evolutionary algorithms based tuning methods, that are, genetic algorithm (GA) and particle swarm optimization (PSO). To examine the validity of PSO and GA tuning methods a comparative analysis of DC motor plant is studied. Simulation results reveal that evolutionary algorithms based tuning method have improved control signal amplitude and quality factors of the closed loop system such as rise time, integral absolute error (IAE) and maximum overshoot.
D2 Dopamine Receptors in Striatal Medium Spiny Neurons Reduce L-Type Ca2+ Currents and Excitability via a Novel PLCβ1–IP3–Calcineurin-Signaling Cascade

In spite of the recognition that striatal D2 receptors are critical determinants in a variety of psychomotor disorders, the cellular mechanisms by which these receptors shape neuronal activity have remained a mystery. The studies presented here reveal that D2 receptor stimulation in enkephalin-expressing medium spiny neurons suppresses transmembrane Ca2+ currents through L-type Ca2+ channels, resulting in diminished excitability. This modulation is mediated by Gβγ activation of phospholipase C, mobilization of intracellular Ca2+ stores, and activation of the calcium-dependent phosphatase calcineurin. In addition to providing a unifying mechanism to explain the apparently divergent effects of D2 receptors in striatal medium spiny neurons, this novel signaling linkage provides a foundation for understanding how this pivotal receptor shapes striatal excitability and gene expression.
Psychiatric diseases: Need for an increased awareness among the anesthesiologists

Psychological disorders and psychiatric diseases have been on the rise since the last three decades. An increasing number of such patients are encountered nowadays for elective or emergency surgery. A multi-array of challenges are faced while anesthetizing these patients or treating them in an intensive care unit. The problems include the deteriorated mental physiology, altered cognition and the possible drug interactions with psychotropic medications. The challenge starts from the preoperative assessment stage. Knowledge of the pharmacological profile of the various anti-psychotic drugs, their side-effects and drug interactions are of prime importance for an anesthesiologist to facilitate smooth delivery of anesthesia in such patients. It is important to formulate a clear plan to deal with any challenge in the perioperative or postoperative period. All the clinical aspects and various definitions of mental disorders in the present article have been used as per the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV). We reviewed the advances in psychiatric diseases, their treatment and their implications on delivery of anesthesia.
Minocycline Blocks Asthma-associated Inflammation in Part by Interfering with the T Cell Receptor-Nuclear Factor κB-GATA-3-IL-4 Axis without a Prominent Effect on Poly(ADP-ribose) Polymerase*

Background: Minocycline protects against asthma independently of its antibiotic function. Results: Minocycline blocks asthma-associated traits, including IgE production, by modulating the TCR-NF-κB-GATA-3-IL-4 axis but not the TCR/NFAT1/IL-2 pathway without a direct effect on PARP activity. Conclusion: These results provide new insight into the mechanism of action of minocycline. Significance: These results provide further support to the therapeutic potential of minocycline in reducing or preventing allergen-induced asthma symptoms. Minocycline protects against asthma independently of its antibiotic function and was recently reported as a potent poly(ADP-ribose) polymerase (PARP) inhibitor. In an animal model of asthma, a single administration of minocycline conferred excellent protection against ovalbumin-induced airway eosinophilia, mucus hypersecretion, and Th2 cytokine production (IL-4/IL-5/IL-12(p70)/IL-13/GM-CSF) and a partial protection against airway hyperresponsiveness. These effects correlated with pronounced reduction in lung and sera allergen-specific IgE. A reduction in poly(ADP-ribose) immunoreactivity in the lungs of minocycline-treated/ovalbumin-challenged mice correlated with decreased oxidative DNA damage. The effect of minocycline on PARP may be indirect, as the drug failed to efficiently block direct PARP activation in lungs of N-methyl-N′-nitro-N-nitroso-guanidine-treated mice or H2O2-treated cells. Minocycline blocked allergen-specific IgE production in B cells potentially by modulating T cell receptor (TCR)-linked IL-4 production at the mRNA level but not through a modulation of the IL-4-JAK-STAT-6 axis, IL-2 production, or NFAT1 activation. Restoration of IL-4, ex vivo, rescued IgE production by minocycline-treated/ovalbumin-stimulated B cells. IL-4 blockade correlated with a preferential inhibition of the NF-κB activation arm of TCR but not GSK3, Src, p38 MAPK, or ERK1/2. Interestingly, the drug promoted a slightly higher Src and ERK1/2 phosphorylation. Inhibition of NF-κB was linked to a complete blockade of TCR-stimulated GATA-3 expression, a pivotal transcription factor for IL-4 expression. Minocycline also reduced TNF-α-mediated NF-κB activation and expression of dependent genes. These results show a potentially broad effect of minocycline but that it may block IgE production in part by modulating TCR function, particularly by inhibiting the signaling pathway, leading to NF-κB activation, GATA-3 expression, and subsequent IL-4 production.
Independent Auditing of Online Display Advertising Campaigns

The reported lack of transparency of the online advertising market may seriously affect the interests of advertisers. In this paper, we present a novel methodology that allows advertisers to independently assess the quality of display advertising campaigns. This methodology also serves to audit the accuracy and completeness of reports delivered by the vendor responsible for running a campaign. We have applied our methodology in 8 display ad campaigns configured in Google AdWords, which overall produced 160K ad impressions displayed in more than 7K publishers. Our results reveal that AdWords seems to provide incomplete information to advertisers. Specifically, we found that: (i) AdWords did not report 57% of publishers where ad impressions from our campaigns were delivered, (ii) AdWords reports a large fraction of contextually meaningful impressions based on (non-disclosed) criteria different from the publisher’s theme, (iii) higher CPM investment does not lead to get impressions delivered to more popular publishers, (iv) AdWords does not offer default control of frequency cap, (v) around 10% ad impressions in two of our campaigns were delivered to IP’s from Data Centers. The industry considers these IPs to be likely related to fraud. These findings should contribute to open a debate between advertisers and Ad Tech vendors to standardize the utilization of independent auditing methodologies as the one presented in this work.
Mammogram Mining with Genetic Optimization of Ant-Miner Parameters

Image mining deals with the extraction of implicit knowledge, image data relationship, or other patterns not explicitly stored in the images. It is an extension of data mining to image domain. The main objective of this paper is to apply image mining in the domain of medical image processing using classification rule generated by metaheuristic algorithms. The parameters used in the metaheuristic algorithms are optimized using genetic algorithm with the aim of improving the accuracy by generating minimum number of rules in order to cover more patterns. Index Terms— Genetic Algorithm, Ant-Miner, Mammogram
Byzantine fault-tolerance in federated cloud computing

Cloud computing has emerged as popular paradigm that enables the establishment of large scale, flexible computing infrastructures that can offer significant cost savings for both businesses and consumers by allowing compute resources to be scaled dynamically to deal with current or anticipated usage [1]. This concept has been further strengthened with the emergence of federated computing Clouds that allow users to scale applications across multiple domains to meet Quality of Service targets [2]. However, the challenge of building dependable and robust Clouds remains a critical research problem that has not yet been clearly understood [3], and yet is vital for establishing user confidence in Clouds. This is particularly true when considering Byzantine faults that are arbitrary in nature. This paper analyses the application of Byzantine fault-tolerance to federated Clouds in detail, and presents experimentation performed to analyse the effectiveness of Byzantine fault-tolerance in federated Clouds. We have developed a Cloud framework called FT-FC that allows us to very quickly create diversity-based Byzantine fault-tolerant systems and apply them to federated Clouds, and have produced initial results to demonstrate the feasibility and potential of this approach. We have furthermore identified a number of research problems and challenges that need to be addressed in order to progress this area further. Our current experimental results, although very initial, are highly encouraging figures, and demonstrate the effectiveness of the FT-FC framework.
[Myocardial infarction due to the left main coronary artery disease in men and women--does accompanying multivessel disease matter?].

AIMS The prognosis in men and women with myocardial infarction due to left main coronary artery disease (LM) in relation to the presence of isolated LM disease or accompanying one-, two- or multivessel disease. MATERIALS AND METHODS A total of 643 consecutive patients (184 females, 459 males) with acute myocardial infarction due to LM stenosis or occlusion were enrolled. Data on clinical presentation, management and in-hospital mortality derived from the Polish Registry of Acute Coronary Syndromes PL-ACS, data on 12-month mortality derived from the Civil Registry. Patients with isolated LM disease were compared with patients in whom significant stenosis in artery another than LM was present. In-hospital, 30-day, 6- and 12-month mortality in both genders were analyzed. RESULTS The disease severity was similar in men and women. No difference in mortality between all subgroups was observed. A non-significant trend towards higher mortality in patients with multivessel disease accompanying to LM disease when compared to patients with isolated LM disease (34.2% vs. 25.2%; p log rank = 0.06). CONCLUSIONS There was no difference in in-hospital and long-term mortality between patients with isolated LM disease vs. patients with accompanying multivessel disease. No difference in mortality between genders was noticed. A longer follow-up is needed to confirm the significance of higher mortality in patients with multivessel disease.
Values motivation and concern for appearances: the effect of personality traits on responses to corporate social responsibility

The present research seeks to examine differences in support for corporate social responsibility based on certain personality traits. Secondary data from a nationally representative sample of 6065 respondents were examined. The results demonstrate that individuals motivated by a concern for appearances, an egoistic enhancement motivation, as well as individuals motivated by their values, make purchases in support of corporate philanthropy. However those concerned for appearances do not view CSR as a normative requirement, unlike those motivated by their values. Copyright © 2006 John Wiley & Sons, Ltd.