Miracle-dz/UniFAR-FTUs huggingface dataset:
Are SSRIs really more effective for anxious depression?

BACKGROUND Selective Serotonin Reuptake Inhibitors (SSRIs) are well-established first-line agents for Anxiety Disorders. Anxiety is also a frequent manifestation of major depression. Many psychiatrists assume that anxious depression is more responsive to SSRIs than to other antidepressants. The purpose of this literature review was to determine if SSRIs or any other antidepressants are superior. METHODS A computerized search was conducted of double-blind, English-language studies comparing antidepressants available in the United States. Databases searched included Medline and PsycINFO. RESULTS SSRIs were not found to be superior to other antidepressants in the treatment of anxious depression. CONCLUSIONS The above assumption is not supported. Treatment implications are discussed.
Handbook of data analysis

Introduction: Common Threads among Techniques of Data Analysis - Melissa Hardy and Alan Bryman PART ONE: FOUNDATIONS Constructing Variables - Alan Bryman and Duncan Cramer Summarizing Distributions - Melissa Hardy Inference - Lawrence Hazelrigg Strategies for Analysis of Incomplete Data - Mortaza Jamshidian Feminist Issues in Data Analysis - Mary Maynard Historical Analysis - Dennis Smith PART TWO: THE GENERAL LINEAR MODEL AND EXTENSIONS Multiple Regression Analysis - Ross M. Stolzenberg Incorporating Categorical Information into Regression Models: The Utility of Dummy Variables - Melissa Hardy and John Reynolds Analyzing Contingent Effects in Regression Models - James Jaccard and Tonya Dodge Regression Models for Categorical Outcomes - J Scott Long and Simon Cheng Log-Linear Analysis - Douglas L Anderton and Eric Cheney PART THREE: LONGITUDINAL MODELS Modeling Change - Nancy Brandon Tuma Analyzing Panel Data: Fixed- and Random-Effects Models - Trond Petersen Longitudinal Analysis for Continuous Outcomes: Random Effects Models and Latent Trajectory Models - Guang Guo and John Hipp Event History Analysis - Paul Allison Sequence Analysis and Optimal Matching Techniques for Social Science Data - Heather MacIndoe and Andrew Abbott PART FOUR: NEW DEVELOPMENTS IN MODELING Sample Selection Bias Models - Vincent Kang Fu, Christopher Winship and Robert D Mare Structural Equation Modeling - Jodie B Ullman and Peter M Bentler Multilevel Modelling - William Browne and Jon Rasbash Causal Inference in Sociological Studies - Christopher Winship and Michael Sobel The Analysis of Social Networks - Ronald L Breiger PART FIVE: ANALYZING QUALITATIVE DATA Tools for Qualitative Data Analysis - Raymond M Lee and Nigel G Fielding Content Analysis - Roberto P Franzosi Semiotics and Data Analysis - Peter K Manning Conversation Analysis - Steven E Clayman and Virginia Teas Gill Discourse Analysis - Jonathan Potter Grounded Theory - Nick Pidgeon and Karen Henwood The Uses of Narrative in Social Science Research - Barbara Czarniawska Qualitative Research and the Postmodern Turn - Sara Delamont and Paul Atkinson
Global Span Representation Model for Machine Comprehension on SQuAD

Machine comprehension of text is an important problem in natural language processing. A recently released dataset, the Stanford Question Answering Dataset (SQuAD), offers a large number of real questions, relevant context and answers created by humans through crowdsourcing. Given this more realistic dataset, we focus on the question answering task of machine comprehension. For this problem, we implemented a neural architecture that globally considers all answer spans. The architecture at its core implements the Recurrent Span Representation (RaSoR), with some modifications. Our model achieves a F1 score of 38 % and an EM score of 30 % with a potential for higher scores with additional hyper parameter tuning.
Sensitivity to 35 essential oils

Two hundred consecutive patients and 50 subjects positive to balsams were tested with the 35 essential oils most frequently used in Polish cosmetics. The frequency of sensitivity to the particular oils is noted and the index of sensitization calculated as the amount of oil/kg used annually for the production of Polish cosmetics per one patient positive to this oil. The correlation of positive tests to essential oils with positive tests to four balsams of the standard series is shown.
Improving Intrusion Detection by the Automated Generation of Detection Rules

Rule Based Detection Systems have been successful in preventing attacks on network resources, but suffer a problem in that they are not adaptable in cases where new attacks are made i.e. they need human intervention for investigating new attacks. This paper proposes the creation of a predictive intrusion detection model that is based on usage of classification techniques such as decision tree, Naive Bayes, neural network, and fuzzy lo gic to generate new rules. The proposed model in this paper consists of two stages. The first stage uses either a Decision tree (J48 based on C4.5) or Naive Bayes classifier based on the results obtained in experiments while the second stage is based on a hybrid module that uses both a neural network (MLP) and fuzzy logic. Training and evaluation phases used randomly selected connections in a subset of the KDD’99 intrusion detection data set. A selected set of features has been extracted from those connections using a subset evaluation algorithm. This paper shows how the proposed system has been trained detailing parameters that affect the training process; it also details results obtained in the evaluation process including detection and false positive rates.
Design of New Chemotherapeutics Against the Deadly Anthrax Disease. Docking and Molecular Dynamics studies of Inhibitors Containing Pyrrolidine and Riboamidrazone Rings on Nucleoside Hydrolase from Bacillus anthracis

Abstract Anthrax is a disease caused by Bacillus anthracis, a dangerous biological warfare agent already used for both military and terrorist purposes. An important selective target for chemotherapy against this disease is nucleoside hydrolase (NH), an enzyme still not found in mammals. Having this in mind we have performed molecular docking studies, aiming to analyze the three-dimensional positioning of six known inhibitors of Trypanosoma vivax NH (TvNH) in the active site of B. anthracis NH (BaNH). We also analyzed the main interactions of these compounds with the active site residues of BaNH and the relevant factors to biological activity. These results, together with further molecular dynamics (MD) simulations, pointed out to the most promising compounds as lead for the design of potential inhibitors of BaNH. Most of the docking and MD results obtained corroborated to each other. Additionally, the docking results also suggested a good correlation with experimental data.
Open Relation Extraction Based on Core Dependency Phrase Clustering

Relation extraction is very useful for many applications and has attracted much attention. The dominant prior methods for relation extraction were supervised methods which are relation-specific and limited by the availability of annotated training data. In this paper, we propose a method using hierarchical clustering to extract unbounded relations without relying on training data. The relation among entities in a sentence depends on the terms associated with the entities. Terms on the expandPath capture the relations between the entities. Given a relation, though an expandPath may have more than one dependency phrase, only the core dependency phrase describes the specific relation between the subject and the object. Our method uses heuristic rules to select the core dependency phrases and clusters entity pairs according to the similarity of the core dependency phrases in order to avoid irrelevant information and capture the semantics of the relation between entities more precisely. At last, our method automatically labels the relation clusters on basis of the semantics of core dependency phrases. The experimental results show that our method can cluster entity pairs which have the same relations more accurately and generate appropriate labels for the relations.
1-1-2016 Automated Feedback as a Convergence Tool

This study evaluates two content delivery options for teaching a programming language to determine whether an asynchronous format can achieve the same learning efficacy as a traditional lecture (face-to-face) format. We use media synchronicity theory as a guide to choose media capabilities to incorporate into an asynchronous tutorial used asynchronously. We conducted an experiment with 49 students from three classes of a web development class at an American university. Our results suggest that an asynchronous tutorial can achieve the same learning outcomes as a traditional lecture format by using automated feedback for convergence. Somewhat surprisingly, we found that performance did not improve when students received both the tutorial and the lecture. Our results demonstrate that technical material can be effectively delivered asynchronously.
Trophism of neural progenitor cells to embryonic stem cells: Neural induction and transplantation in a mouse ischemic stroke model

Embryonic stem cell (ESC)–derived products have emerged as a promising cell source for neuroregeneration. C17.2 neural precursor cells were noted to express genes of neurotrophins and neuroprotective factors and to be enable to enhance proliferation, neuritogenesis, and differentiation of SH‐SY5Y and SK‐N‐AS neuroblasts, suggesting their neurotrophic potential. We used C17.2 cells as neurotrophic chaperones to induce ESCs, D3, and E14TG2a into neural lineage cells. Significantly greater numbers of Sox‐2+, Musashi‐1+, and nestin+ neurospheres developed in noncontact cocultures than in cultures of ESCs without C17.2 support or with 50% conditioned medium after 8 days. Immunoreactivity of the neuronal, astrocytic and oligodendrocytic markers was evident in cultures further differentiated for 10 days. Expression of Pax‐6, Otx‐1, and Nurr‐1 genes suggested neuroectodermal precursors in products encompassing neural stem cells, dopaminergic neurons, astrocytes, and oligodendrocytes. α‐Fetoprotein, GATA‐4, Brachyury, Nkx‐2.5, and Myf‐5 genes were not detected, indicating any mesodermal and endodermal cells. However, weak expression of Oct‐4 was noted. Behavioral assessment of ischemic mice 2 weeks after transplantation revealed significant improvement in cognitive function compared with that in ischemic sham‐operated mice. Tracking bromodeoxyuridine‐labeled products demonstrated that mostly implanted cells were localized along the needle track of the injection in the brain parenchyma, whereas some migrated to the striatum, cortex, nerve fiber bundle of the corpus callosum, and hippocampus in the ipsilateral hemisphere. One episode (of 22) of teratoma development was noted. Data from this study suggest a paradigm of trophism of neural progenitor cells for induction of ESCs into neural lineage cells. © 2007 Wiley‐Liss, Inc.
gUML: Reasoning about Energy at Design Time by Extending UML Deployment Diagrams with Data Centre Contextual Information

With the rising energy demand in ICT services and its associated environmental impact, the need for energy efficient Enterprise ICT solutions is growing. As data centres account for a large part of energy consumption in ICT, data centre operators strive to create opportunities to put more emphasis on reducing energy consumption. However, creating ICT Systems that are energy efficient by design remains a key challenge. In this paper, we identify and map contextual energy information about data centre operations in order to model their power related components. This contextual modelling is then mapped to deployment diagram where we introduce greenUML (gUML), an extension to UML diagrams to improve energy efficiency through energy analysis at design time. gUML will allow system architects to reason about the energy footprint of their applications at design time.
The effect of mode of delivery on postpartum sexual functioning in primiparous women.

OBJECTIVE To evaluate the effect of mode of delivery on postpartum sexual functioning in primiparous women. METHODS In this cross-sectional descriptive study, 150 primiparous women in postpartum period, who attended the family planning or vaccination clinics, were enrolled for the study. Eighty-one had vaginal delivery with episiotomy and 69 had experienced cesarean section. Sexual function was evaluated by the Female Sexual Function Index within 3 and 6 months postpartum. RESULTS About 29% in vaginal delivery group and 37% in cesarean delivery group had resumed their sexual intercourses four weeks after delivery (p=0.280). There were no significant differences between mode of delivery and sexual functioning, including desire, arousal, lubrication, orgasm, satisfaction and pain. CONCLUSION The present study showed that postpartum sexual functioning was not associated with the type of delivery.
Source Language Generation from Pictures for Machine Translation on Mobile Devices

This paper proposes a new method for the generation of natural language from a sequence of pictures and shows its application to machine translation within the framework of the picoTrans system. The picoTrans system is an icon-driven user interface for machine translation that facilitates cross-lingual communication through two heterogeneous channels of communication simultaneously. The first channel being the usual automatic natural language translation method; the second channel being a sequence of pictures that both parties understand which conveys structured semantic information in parallel with the first channel. Users are able to communicate using this device both by using it as a picture book and also by using it as a machine translation device. By pointing at pictures alone, basic expressions can often be communicated, eliminating the need for machine translation altogether, and even with machine translation, the picture sequence provides a useful second opinion on the translation that helps to mitigate machine translation errors. There are limits, however to the expressiveness of a sequence of pictures compared to the expressiveness of natural language. This paper looks at two methods by which syntactic information can be added into a sequence of pictures: a hidden n-gram model and monotonic transduction using a phrase-based statistical machine translation system. This additional information is added automatically, but the system allows the user to interact to refine the generated language. We evaluate both methods on the task of source sentence generation in Japanese using automatic machine translation evaluation metrics, and find the statistical machine translation method to be the more effective technique.
Analysis of cyber physical systems security via networked attacks

In this paper, cyber physical system is analyzed from security perspective. A double closed-loop security control structure and algorithm with defense functions is proposed. From this structure, the features of several cyber attacks are considered respectively. By this structure, the models of information disclosure, denial-of-service (DoS) and Man-in-the-Middle Attack (MITM) are proposed. According to each kind attack, different models are obtained and analyzed, then reduce to the unified models. Based on this, system security conditions are obtained, and a defense scenario with detail algorithm is design to illustrate the implementation of this program.
Exploring traditional end-of-life beliefs, values, expectations, and practices among Chinese women living in England: Informing culturally safe care

Abstract Objective: This study explores the end-of-life (EoL) beliefs, values, practices, and expectations of a select group of harder-to-reach Chinese women living in England. Method: A cultural safety approach was undertaken to interpret 11 in-depth, semistructured interviews. Interviews were conducted in Mandarin and Cantonese. Transcripts were translated and back-translated by two researchers. Findings were analyzed using the technical analytical principles of grounded theory. Results: The key themes generated from our analysis include: acculturation; differential beliefs and norms in providing care: family versus health services; language and communication; Eastern versus Western spiritual practices and beliefs; and dying, death, and the hereafter. Significance of Results: End-of-life discussions can be part of an arduous, painful, and uncomfortable process, particularly for migrants living on the margins of society in a new cultural setting. For some Chinese people living in the United Kingdom, end-of-life care requires attention to acculturation, particularly Western versus Eastern beliefs on religion, spirituality, burial practices, and provision of care, and the availability of culturally specific care, all of which encompass issues related to gender. Stories of a purposive sample of Chinese women were viewed through a cultural safety lens to gain a deeper understanding of how social and cultural norms and expectations, in addition to the pressures of acculturation, impact gendered roles and responsibilities. The analysis revealed variations between/within Eastern and Western culture that resulted in pronounced, and oftentimes gendered, differences in EoL care expectations.
Evaluation of the Affirm Ambient Temperature Transport System for the Detection and Identification ofTrichomonas vaginalis, Gardnerella vaginalis, andCandida Species from Vaginal Fluid Specimens

ABSTRACT The objective of this study was to measure the performance of the Affirm Ambient Temperature Transport System (ATTS) over time and to estimate the length of time the system can preserve a vaginal specimen containing the three common organisms causing vaginitis:Trichomonas vaginalis, Candida species, and Gardnerella vaginalis (one of the causative agents of bacterial vaginosis). Women with symptoms of vaginitis presenting to one of three clinical centers were evaluated over a 4- to 8-week period. Four simultaneously obtained swabs were collected and tested by the Affirm VPIII assay at time zero with and without a preservative reagent, at 24 h with reagent, and at either 48 or 72 h with reagent. For each of the three organisms,Trichomonas, Gardnerella, andCandida, positivity at each time point was evaluated and compared to that at reference time zero with and without the ATTS. A total of 940 specimens were obtained from the three clinical sites. Eight hundred three were positive for one or more of the three organisms. Gardnerella had the highest overall positive rate (62%), followed by Candida with 18% andTrichomonas at 9%. The percent sensitivity versus control for Trichomonas ranged from 100% at time zero with and without reagent to 91% by 72 h. Gardnerella andCandida sensitivity remained at 100% for each time period. The Affirm VPIII ATTS system performed within 10% of the control swab (no transport reagent) at all four time points (0, 24, 48, and 72 h) for Trichomonas, Gardnerella, andCandida.
CFD Simulation and Experimental Validation of Small APC Slow Flyer Propeller Blade

The current work presents the numerical prediction method to determine small-scale propeller performance. The study is implemented using the commercially available computational fluid dynamics (CFD) solver, FLUENT. Numerical results are compared with the available experimental data for an advanced precision composites (APC) Slow Flyer propeller blade to determine the discrepancy of the thrust coefficient, power coefficient, and efficiencies. The study utilized unstructured tetrahedron meshing throughout the analysis, with a standard k-ω turbulence model. The Multiple Reference Frame model was also used to consider the rotation of the propeller toward its local reference frame at 3008 revolutions per minute (RPM). Results show reliable thrust coefficient, power coefficient, and efficiency data for the case of low advance ratio and an advance ratio less than the negative thrust conditions.
Actin filaments‐stabilizing and ‐bundling activities of cofilin‐phosphatase Slingshot‐1

Slingshot‐1 (SSH1) is known to regulate actin filament dynamics by dephosphorylating and activating cofilin, an actin‐depolymerizing factor. SSH1 binds to filamentous (F‐) actin through its multiple F‐actin‐binding sites and its cofilin‐phosphatase activity is enhanced by binding to F‐actin. In this study, we demonstrate that SSH1 has F‐actin‐stabilizing and ‐bundling activities. In vitro actin depolymerization assays revealed that SSH1 suppressed spontaneous and cofilin‐induced actin depolymerization in a dose‐dependent manner. SSH1 inhibited F‐actin binding and severing activities of cofilin. Low‐speed centrifugation assays combined with fluorescence and electron microscopic analysis revealed that SSH1 has F‐actin‐bundling activity, independently of its cofilin‐phosphatase activity. Deletion of N‐ or C‐terminal regions of SSH1 significantly reduced its F‐actin‐stabilizing and ‐bundling activities, indicating that both regions are critical for these functions. As SSH1 does not form a homodimer, it probably bundles F‐actin through its multiple F‐actin‐binding sites. Knockdown of SSH1 expression by RNA interference significantly suppressed stress fiber formation in C2C12 myoblast cells, indicating a role for SSH1 in stress fiber formation or stabilization in cells. SSH1 thus has the potential to regulate actin filament dynamics and organization in cells via F‐actin‐stabilizing and ‐bundling activities, in addition to its ability to dephosphorylate cofilin.
Nutritional risk and gastrointestinal dysautonomia symptoms in Parkinson's disease outpatients hospitalised on a scheduled basis

Dysautonomia symptoms of nutritional interest may often occur in Parkinson's disease (PD), but the role played in affecting the risk of malnutrition still needs to be clarified. A total of 208 consecutive PD outpatients hospitalised on a scheduled basis were assessed for nutritional risk by the Malnutrition Universal Screening Tool. Presence of dysautonomia symptoms (dysphagia, sialorrhoea and constipation) was investigated using clinical rating scales. In our population, prevalence of nutritional risk was 17·2 (95 % CI 12·1, 24·0) % and relied mainly on unintentional weight loss. Sialorrhoea, dysphagia, dysphagia to liquids and constipation were observed in 10·6, 11·0, 14·4 and 59·6 % of the patients, respectively. Nutritional risk was independently associated with the number of dysautonomia symptoms (OR 1·39 (95 % CI 1·00, 1·96); P= 0·048) but not with single symptoms. An independent association was also found with the severity of motor symptoms (Hoehn–Yahr stage, OR 1·48 (95 % CI 1·00, 2·55); P= 0·049) and levodopa dose (OR 1·16 (95 % CI 1·04, 1·31) mg/kg per d; P= 0·009). Nutritional risk in PD outpatients appears to depend mainly on dysautonomic syndrome, disease severity and levodopa dosage. Implications for outcome deserve further investigation. The assessment of nutritional status and of gastrointestinal dysautonomia symptoms should be part of the routine work-up of a PD patient.