Miracle-dz/UniFAR-FTUs huggingface dataset:
Neural Correlates of Emotional Regulation Processing: Evidence from ERP and Source Current Density Analysis

The neural mechanism of emotion regulation had been widely concerned while still unclear. Therefore, the goal of the present study was to investigate and highlight common neural correlates of emotion regulation in healthy populations. During this task, 51 participants were required to down-regulate their emotion when viewing negative images with reappraisal and expressive suppression strategies. Using ERP and source current density analysis, the present study provided precise time frame and construct destiny sources map to show the temporal unfolding of neural events that occur during emotion regulation processes. Results showed that: (1) Emotion regulation processing starts from early attention selection to late emotion experiences processing, represented by decreased P2 and LPP to negative stimulus during emotion regulation. (2) LPP derived from prefrontal gyrus, with different neural circles involving in reappraisal and suppression emotion regulation. (3) There is conflict between the self-reporting and ERP results, indicating the necessary of using objective research methods in study of emotion regulation.
The Study of Methods for Language Model Based Positive and Negative Relevance Feedback in Information Retrieval

Relevance feedback techniques are important to Information retrieval (IR), which can effectively improve the performance of IR. The feedback includes positive and negative relevance one. The most of the previous work using feedback have focused on positive relevance feedback and pseudo relevance feedback in IR. In recent years, some work has been done and investigated the negative relevance feedback in IR. However, this paper highlights the incorporation or integration between the language models based positive and negative relevance feedback in IR, and through positive and negative feedback documents proportion on queries classification, with different parameters adjustment of positive and negative feedback ratio, where both types of feedback are used to modify and expand the user's query model. Our experimental results of using several TREC collections show that this method is significantly outperform the relevance feedback and pseudo relevance feedback in terms of the retrieval accuracy.
DaVis : A tool for Visualizing Data Quality

Data quality is a critical issue for the success of data-driven enterprises. The challenge for these enterprises is to provide accurate data inputs, correct codings, and accurate processing so that resulting data products are correct, accurate, and timely. Although one might think that the digitization of business and government would lead to better data, if anything, the reverse appears to be true. In our experience business data warehouses and data marts inevitably contain large amounts of poor quality data. Thus there is a need for better tools to help analysts identify and fix data quality problems. To meet this need we have created a data quality visualization tool called DaVis (Data Quality Visualizer). DaVis uses a tabular reduced visual representation to show a dataset, highlights inaccuracies and invalid data, and shows difference between versions of a dataset. Our experience in using DaVis on several consulting projects is that data quality visualization is quite useful in practice and that applying visualization techniques to address data quality problems is a fruitful research direction. CR
Wnt Signaling Pathway in Uterus of Normal and Seminal Vesicle Excised Mated Mice during Pre-implantation Window

Abstract Introduction The importance of seminal vesicle secretion and uterine Wnt signaling for uterus preparation and embryo implantation has been described. Materials and Methods In this study, we evaluated the gene expression of Wnt ligands (Wnt4 and Wnt5a) and their corresponding receptors (Fzd2 and Fzd6) using qRT-PCR and active β-catenin protein levels using western blotting in the uterine tissue of female mice mated with intact and seminal vesicle-excised (SVX) males during the pre-implantation window. We evaluated the association between these factors and implantation rates and embryo spacing. Results mRNA expression of Wnt4 and Wnt5a and active β-catenin protein levels decreased from Day 1 to Day 4, but reached a peak on the fifth day of pregnancy. Fzd2 also reached its highest level on Day 5. Fzd6 expression showed a decreasing trend towards the day of implantation. Lack of seminal vesicle secretion decreased Wnt4 and Wnt5a expression on Days 1 and 5 and β-catenin levels on Day 5. There were almost no significant differences in expression levels of the Fzd2 and Fzd6 receptors between groups. There were positive and negative correlations, respectively, between implantation rates and embryo spacing and Wnt4, Wnt5a and active β-catenin in the control group, but such correlations were not observed in the SVX-mated mice. Conclusions Significant changes occurred in the expression of several Wnt signaling members and there was a significant association between Wnt signaling and embryo implantation. Seminal vesicle secretion affects Wnt signaling in mice and consequently also affects murine embryo implantation.
The basic method for using QPN to model routing protocol under RWP mobility in DTNs

By routing protocol modeling, we can better understand the performance characteristics in different causes. In this paper, we will use the excellent tool in distributed systems and parallel systems, named QPN (Queueing Petri Net). And, we use the simulation tools of QPN, including QPME2.01 and SimQPN, to model the important metrics of routing method in Delay Tolerant Networks. In our previous paper, we have proposed a new routing protocol in DTNs, called “OOPFE-Routing”. In this paper, not only we use ns2 to record the simulation results and to calculate the important mobile parameters such as IMT and CT, but also we put these parameters into QPN tool to model the routing protocol for the DTNs. We will propose these basic methods. After we have model the routing, we can use QPN tools to do stability analysis and continues to analysis other experimental results credibility.
Parameter Estimation for a Hybrid Adaptive Flight Controller

This paper expands on the hybrid control architecture developed at the NASA Ames Research Center by addressing issues related to indirect adaptation using the recursive least squares (RLS) algorithm. Specifically, the hybrid control architecture is an adaptive flight controller that features both direct and indirect adaptation techniques. This paper will focus almost exclusively on the modifications necessary to achieve quality indirect adaptive control. Additionally this paper will present results that, using a full non -linear aircraft model, demonstrate the effectiveness of the hybrid control architecture given drastic changes in an aircraft s dynamics. Throughout the development of this topic, a thorough discussion of the RLS algorithm as a system identification technique will be provided along with results from seven well-known modifications to the popular RLS algorithm.
Resource allocation based on clustering for D2D communications in underlaying cellular networks

In cellular networks, proximity users may communicate directly without going through the infrastructure such as the base station (BS), which is device-to-device (D2D) communications, and it can improve spectral efficiency. However, enabling D2D communications in a cellular network poses two major challenges. First, the BS is suffered from signaling overhead. Second, D2D transmitters may cause harmful interference to the primary cellular network when radio resources are shared between them. In order to resolve the problems, we introduce clustering algorithms and resource allocation method in two stage. In the first stage, we introduce similarity measure based clustering algorithms for reducing the BS signaling overhead. In the second stage, we formulate a problem to maximize the spatial reuse efficiency by allowing the data transmission of D2D pairs on the same resources. Simulation results show that the proposed AP based clustering scheme outperforms the other schemes for different configurations of D2D pairs in underlaying cellular networks. It is also shown that not only does the proposed resource allocation scheme improve the network performance via coordination of cochannel interference, but more importantly the proposed clustering scheme reduces the complexity of implementation by simple message exchanging.
Programmed Cell Death-1 Polymorphisms Decrease the Cancer Risk: A Meta-Analysis Involving Twelve Case-Control Studies

Programmed cell death-1 (PD-1) plays an important inhibitory role in anti-tumor responses, so it is considered as a powerful candidate gene for individual’s genetic susceptibility to cancer. Recently, some epidemiological studies have evaluated the association between PD-1 polymorphisms and cancer risk. However, the results of the studies are conflicting. Therefore, a meta-analysis was performed. We identified all studies reporting the relationship between PD-1 polymorphisms and cancers by electronically searches. According to the inclusion criteria and the quality assessment of Newcastle-Ottawa Scale (NOS), only high quality studies were included. A total of twelve relevant studies involving 5,206 cases and 5,174 controls were recruited. For PD-1.5 (rs2227981) polymorphism, significantly decreased cancer risks were obtained among overall population, Asians subgroup and population-based subgroup both in TT vs. CC and TT vs. CT+CC genetic models. In addition, a similar result was also found in T vs. C allele for overall population. However, there were no significant associations between either PD-1.9 (rs2227982) or PD-1 rs7421861 polymorphisms and cancer risks in all genetic models and alleles. For PD-1.3 (rs11568821) polymorphism, we found different cancer susceptibilities between GA vs. GG and AA vs. AG+GG genetic models, and no associations between AA vs. GG, AA+AG vs. GG genetic models or A vs. G allele and cancer risks. In general, our results firstly indicated that PD-1.5 (rs2227981) polymorphism is associated a strongly decreased risk of cancers. Additional epidemiological studies are needed to confirm our findings.
Operative trajectory calculation for control algorithms in mobile-robotics using Superpixel segmentation

Superpixel segmentation has been developed in many ways, like an optimized recognition system's research, making faster and sturdy ways to calculate superpixels and segmenting information from the real world, by now the result has lead to implement SLIC Superpixels method, which is a low hardware requirement code, inside an embedded system, making it as fast as possible, to accomplish the need of placing it inside a robot. So why is this need so important? Because the way the robot has to execute an entrusted task is really important, and time is a primary factor of it, to improve its functions and benchmarks reactions. The project improves the SLIC Method of making superpixels with average from the original color segmented matrix; and then calculate with KMEANS method the centers and clusters from objects, but before that an attached method based in a section of set labels an average and a bilateral filter already applied this. Finally with a fuzzy positioner it can be found the optimal route of its movement.
Up-Regulation of MUC2 and IL-1β Expression in Human Colonic Epithelial Cells by Shigella and Its Interaction with Mucins

Background The entire gastrointestinal tract is protected by a mucous layer, which contains complex glycoproteins called mucins. MUC2 is one such mucin that protects the colonic mucosa from invading microbes. The initial interaction between microbes and mucins is an important step for microbial pathogenesis. Hence, it was of interest to investigate the relationship between host (mucin) and pathogen interaction, including Shigella induced expression of MUC2 and IL-1β during shigellosis. Methods The mucin-Shigella interaction was revealed by an in vitro mucin-binding assay. Invasion of Shigella dysenteriae into HT-29 cells was analyzed by Transmission electron microscopy. Shigella induced mucin and IL-1β expression were analyzed by RT-PCR and Immunofluorescence. Results The clinical isolates of Shigella were found to be virulent by a congo-red binding assay. The in vitro mucin-binding assay revealed both Shigella dysenteriae and Shigella flexneri have binding affinity in the increasing order of: guinea pig small intestinal mucin<guinea pig colonic mucin< Human colonic mucin. Invasion of Shigella dysenteriae into HT-29 cells occurs within 2 hours. Interestingly, in Shigella dysenteriae infected conditions, significant increases in mRNA expression of MUC2 and IL-1β were observed in a time dependent manner. Further, immunofluorescence analysis of MUC2 shows more positive cells in Shigella dysenteriae treated cells than untreated cells. Conclusions Our study concludes that the Shigella species specifically binds to guinea pig colonic mucin, but not to guinea pig small intestinal mucin. The guinea pig colonic mucin showed a greater binding parameter (R), and more saturable binding, suggesting the presence of a finite number of receptor binding sites in the colonic mucin of the host. In addition, modification of mucins with TFMS and sodium metaperiodate significantly reduced mucin-bacterial binding; suggesting that the mucin-Shigella interaction occurs through carbohydrate epitopes on the mucin backbones. Overproduction of MUC2 may alter adherence and invasion of Shigella dysenteriae into human colonic epithelial cells.
Relativistically broadened iron line in the Suzaku observation of the neutron star X-ray binary 4U 1705−44

The X-ray spectra of accreting compact objects often exhibit discrete emission features associated with fluorescent emission in the accretion disc, the strongest of which is the Fe Kα fluorescence line at 6.4–6.97 keV. These reflection features are amongst the best tools in the study of the inner region of accretion flow around a compact object. Here, we report on three Suzaku observations of the neutron star X-ray binary 4U 1705−44 where a broad, skewed Fe Kα emission line is clearly visible above the continuum. By using a relativistically blurred reflection model, we find that in 4U 1705−44 the inner disc radius extends down to rin= 10.5+1.0−1.7 GM/c2 and is at an angle of 29.8+1.1−1.0 deg to the line of sight. Furthermore, we find that the level of ionization in the surface layers of the accretion disc changes by two orders of magnitude between the three observations, however the inner radius obtained from the line profile remains stable.
Parabolic category O, perverse sheaves on Grassmannians, Springer fibres and Khovanov homology

Abstract For a fixed parabolic subalgebra 𝔭 of $\mathfrak {gl}(n,\mathbb {C})$ we prove that the centre of the principal block 𝒪0𝔭 of the parabolic category 𝒪 is naturally isomorphic to the cohomology ring H*(ℬ𝔭) of the corresponding Springer fibre. We give a diagrammatic description of 𝒪0𝔭 for maximal parabolic 𝔭 and give an explicit isomorphism to Braden’s description of the category PervB(G(k,n)) of Schubert-constructible perverse sheaves on Grassmannians. As a consequence Khovanov’s algebra ℋn is realised as the endomorphism ring of some object from PervB(G(n,n)) which corresponds under localisation and the Riemann–Hilbert correspondence to a full projective–injective module in the corresponding category 𝒪0𝔭. From there one can deduce that Khovanov’s tangle invariants are obtained from the more general functorial invariants in [C. Stroppel, Categorification of the Temperley Lieb category, tangles, and cobordisms via projective functors, Duke Math. J. 126(3) (2005), 547–596] by restriction.
Popularity Metrics' Normalization for Social Media Entities

With the spread of online social media websites, a huge amount of online content is continuously provided. However, some contents gain an important attention from users while other contents are completely ignored. This highlights the analysis of popularity relative to different social content. The popularity is expressed through measures and features that act as factors expressing and influencing the popularity. Those features vary from an online social media website to another as it depends on the type of social entity. This paper tries to create a normalized view of the popularity metrics independent of the online social media and in relation with specific social entities that are user and media content (i.e. text, image, and video). We propose a Service Provider Interface (SPI) as a contract between users. The SPI offers a variety of interfaces for implementing services related to the quantification of social entities popularity independently of the online social media they belong to.
Facilitating the Sustainability of Health Behaviors in the Phase III (graduated) Cardiac Rehabilitation Population

6 Problem 8 Problem Change 8 Background 8 Cardiac Rehabilitation 10 Risk Reduction through Health Behavior Modification 11 Attrition to Health Behaviors 11 Implementation Process Analysis 13 Setting and Target Population 13 Implementation Strategies 15 Program Outcomes 15 Surveys 15 Economic, Social and Political Environment 17 Project Evolution 16 Business Plan Analysis 18 Alternative Phase III Model 19 Results/ Outcome Analysis 20 Data Collection Analysis 20 Measures/ Indicators of Project Outcomes 21 Staffing 22 Participant Demographics 22 Health Behaviors 22 SUSTAINABILITY OF HEALTH BEHAVIORS 4 Participant Attrition 23 Hospital Readmission and Emergency Department Visits 24 Inferences Relating To Project Objectives 24 Gaps And Effectiveness 24 Unanticipated Consequences 25 Financial Analysis 25 Recommendations 26 Informed Decisions and Recommendations 26 Strategic Plan Congruence 27 Application To Other Settings 28 Maintaining And Sustaining Change 28 Lessons Learned 29 References 30 Appendix A: Table 1. Objectives and Outcome Measures 38 Table 2. Paired Samples t Test 42 Appendix B: Table 3. Logic Model 45 Appendix C: Operating Budget 51 Appendix D: 3 Year Budget Plan & Projection 52 Appendix E: Timeline 53 Appendix F: Boise State University Letter of Determination 54 Appendix G: St. Luke’s Health System Letter of Determination 55 Appendix H: Health Coaching Documentation 57 Appendix I: Mediterranean Diet Adherence Screener 58 SUSTAINABILITY OF HEALTH BEHAVIORS 5 Appendix J: Stanford Brief Activity Survey 59 Appendix K: Adherence Estimator® 60 Appendix L: Project Informational Flyer 61 Appendix M: Memo to SLHHR Staff 62 SUSTAINABILITY OF HEALTH BEHAVIORS 6
Management of Early Stage, High-Risk Endometrial Carcinoma: Preoperative and Surgical Considerations

Endometrial cancer is the most common gynecologic malignancy in the developed world. Most cases are diagnosed at an early stage and have low-grade histology, portending an overall excellent prognosis. There exists a subgroup of patients with early, high-risk disease, whose management remains controversial, as current data is clouded by inclusion of early stage tumors with different high-risk features for recurrence, unstandardized protocols for surgical staging, and an evolving staging system by which we are grouping these patients. Here, we present preoperative and intraoperative considerations that should be taken into account when planning surgical management for this population of patients.
Melanoma Cells Protects Mice from Tumor Impaired Qa-2 Class Ib MHC Expression on Correction of Defects Responsible for

One of the principal mechanisms of tumor immune evasion is alteration of class I MHC expression. We have identiﬁed defects contributing to down-regulation of class I MHC expression in the widely studied murine B16 melanoma and its variants B16F1, B16F10, BL6-2, BL6-8 and B78H1. Transcription of the nonclassical class I MHC genes Q8 and Q9 (Qa-2 Ags) has been switched off in the entire panel of melanoma lines, suggesting that this event occurred early during tumor progression. B78H1, unlike B16F1 and B16F10 sublines, is also selectively devoid of TAP2 and low molecular weight protein 7 as well as classical class I MHC K b and D b transcripts. Cotransfection of B78H1 with TAP2 and class I H chain genes is sufﬁcient to reconstitute surface expression of exogenously delivered class I MHC without concomitant re-expression of endogenous (cid:1) 2 -microglobulin-associated class I. The serological absence of endogenous class Ia and Ib at the surface of TAP2-negative as well as TAP2-transfected B78H1 makes this system a suitable model for studying the properties of isolated class I proteins in tumors. We used this system to demonstrate that B78H1 cells genetically manipulated to re-express Q9 Ag have reduced tumor potential in syngeneic B6 mice compared with TAP2-transfected parental melanoma. Both NK cells and CTLs appear to collaborate in restraining growth of Q9-positive tumors. The results implicate Qa-2 in antitumor responses and illustrate the utility of the B78H1 system for identifying in vivo interactions between class I MHC molecules of interest and immune cells of innate and/or adaptive immunity. The Journal of Immunology, 2003, 170: 4515–4523.
Relational Semantics of Local Variable Scoping

Most previous work on the equivalence of programs in the presence of local state has involved intricate memory modeling and the notion of contextual (observable) equivalence. We show how relational semantics can be used to avoid these complications. We define a notion of local variable scoping, along with a purely compositional semantics based on binary relations, such that all contextual considerations are completely encapsulated in the semantics. We then give an axiom system for program equivalence in the presence of local state that avoids all mention of memory or context and that does not use semantic arguments. The system is complete relative to the underlying flat equational theory. We also indicate briefly how the semantics can be extended to include higher-order functions.
Design and implementation of energy application services for energy management technology

This paper describes energy application services for energy management technology. To save energy, walking commute and using stairs are considered. Various sensors are used to measure the distance of walking and the saved energy is calculated using the measured data. Using the proposed mechanism, users can easily recognize the saved energy by energy saving action, and result in energy cost saving.
Perceptual category mining in human second language speech perception

This paper intends to clarify the process of the Perceptual Assimilation Model (PAM) predicting the patterns of human categorical speech perception in audio perception of second language (L2) speech signals. The original stage of categorizing acoustic stimuli in the L2 signal often involves assimilation from L1 categories. Whether L1 sounds will assimilate to L2 ones can be assimilated to the L2 category is decided by difference of category distance. This study, with evidence from Cantonese learners' perception of the English tr-signal, proposes that a careful mining process to find out the intended assimilating L1 category is necessary. The chosen L1 category should be tested on perceptual similarity to the L2 category in fine-grained phonetic environments, rather than just possible L1 phonological mappings from observed production errors. Two experiments with different L1 assimilating candidates are done using the AX identification and ABX discrimination paradigms. Target trVC syllables are both aligned with twVC, a representative of phonological closeness through contrastive analysis, and with chVC, a representative of perceptually similar candidate which is less mentioned in literature. Results from both identification and discrimination show that accuracy rate for twVC is almost ceiling whereas that of trVC is significantly lower. Results suggest that perceptual distance is better represented by perceptual similarity and such screening process should be applied as a pre-examination procedure instead of choosing L1 assimilator based on phonological similarity.