Miracle-dz/UniFAR-FTUs huggingface dataset:
The requirement of SEPT2 and SEPT7 for migration and invasion in human breast cancer via MEK/ERK activation

Septins are a novel class of GTP-binding cytoskeletal proteins evolutionarily conserved from yeast to mammals and have now been found to play a contributing role in a broad range of tumor types. However, their functional importance in breast cancer remains largely unclear. Here, we demonstrated that pharmaceutical inhibition of global septin dynamics would greatly suppress proliferation, migration and invasiveness in breast cancer cell lines. We then examined the expression and subcellular distribution of the selected septins SEPT2 and SEPT7 in breast cancer cells, revealing a rather variable localization of the two proteins with cell cycle progression. To determine the role of both septins in mediating malignant behavior of cancer cells, we used RNA silencing to specifically deplete endogenous SEPT2 or SEPT7 in highly invasive breast cancer cell line MDA-MB-231. Our findings showed that SEPT2/7 depletion had virtually identical inhibitory effects on cellular proliferation, apoptosis, migration and invasion. Moreover, the opposite performance in migration and invasion was observed after enforced expression of SEPT2/7 in the same cell line. We further demonstrated MEK/ERK activation, but not other MAPKs and AKT, was positively correlated with the protein levels of SEPT2 and SEPT7. Additionally, in SEPT2/7-overexpressing cells, the MEK specific inhibitor U0126 was able to correct the high active status of MEK/ERK while normalizing the increased invasive behaviors of these cells. Taken together, these results strongly suggest that SEPT2 and SEPT7 are involved in breast carcinogenesis and may serve as valuable therapeutic targets for breast cancer.
Individual Characteristics Associated with Mismatches between Self-Reported and Accelerometer-Measured Physical Activity

Background Accurate assessment tools are required for the surveillance of physical activity (PA) levels and the assessment of the effect of interventions. In addition, increasing awareness of PA is often used as the first step in pragmatic behavioural interventions, as discrepancies between the amount of activity an individual perceives they do and the amount actually undertaken may act as a barrier to change. Previous research has demonstrated differences in the amount of activity individuals report doing, compared to their level of physical activity when measured with an accelerometer. Understanding the characteristics of those whose PA level is ranked differently when measured with either self-report or accelerometry is important as it may inform the choice of instrument for future research. The aim of this project was to determine which individual characteristics are associated with differences between self-reported and accelerometer measured physical activity. Methods Participant data from the 2009 wave of the Commuting and Health in Cambridge study were used. Quartiles of self-reported and accelerometer-measured PA were derived by ranking each measure from lowest to highest. These quartiles were compared to determine whether individuals’ physical activity was ranked higher by either method. Multinomial logistic regression models were used to investigate the individual characteristics associated with different categories of mismatch. Results Data from 486 participants (70% female) were included in the analysis. In adjusted analyses, the physical activity of overweight or obese individuals was significantly more likely to be ranked higher by self-report than by accelerometer than that of normal-weight individuals (OR = 2.07, 95%CI = 1.28–3.34), particularly among women (OR = 3.97, 95%CI = 2.11–7.47). Conclusions There was a greater likelihood of mismatch between self-reported and accelerometer measured physical activity levels in overweight or obese adults. Future studies in overweight or obese adults should consider employing both methods of measurement.
A 3D Color Measurement System

This paper describes a novel 3 dimensional color measurement system. After the sensors and corresponding data processing board were presented, based on a calibration board with right-angled triangle outline, two calibration algorithms are presented to obtain the extrinsic parameters for sensors. One is the calibration algorithm between 2 dimensional laser range finder (2D LRF), the other is for 2D LRF and the color camera. The result parameters were obtained through solving the constrain equations by the correspond data between the 2D LRF and other two sensors. The 3D color reconstruction experiments of real data prove the effectiveness and the efficient of the system and the algorithms.
Analysis of human exposure due to WiFi signals based on a novel measurement methodology

This study presents an evaluation of human exposure levels due to WiFi signals. Up to now, human exposure to electromagnetic fields has been measured using methodologies and system configurations that account for the worst-case exposure conditions. However, more accurate empirical data are needed, since most of the time the worst case is too pessimistic to be considered for quantifying the actual existing conditions. In this work, a novel methodology to determine realistic exposure values due to a WiFi Access Point is defined. By means of this methodology, the contribution of this Access Point to the total WiFi exposure in the 2.4 GHz band is assessed, as well as day and night exposure due to a Wireless Local Area Network (WLAN).
Let users tell the story: evaluating user experience with experience reports

User experience (UX) has been under extensive research in recent years. One of the key questions has been how to evaluate user experience. Several methods such as diaries, experience sampling and questionnaires have been used for collecting data on user experience with a product. Although these methods provide valuable data, they may lack obtaining rich descriptions of UX in users' everyday lives. We have approached the question of UX evaluation by experience reports which are open-ended experience stories written by the users after using their products in real contexts of use. In this paper, we describe a field study in which 21 participants wrote 116 experience reports about UX with their personal products such as smart phones and MP3 players. The reports were analyzed with predefined context and experience categorizations to identify core experiences. We discuss our initial findings on the applicability of the method to evaluate UX.
Substitutional doping of metal contact for monolayer transition metal dichalcogenides: A density functional theory based study

Significant roadblocks to the widespread use of monolayer transition metal dichalcogenides for CMOS-logic applications are the large contact resistance and absence of reliable doping techniques. Metal contacts that pin the Fermi level within the desired band are optimal for device applications. Here, we study substitutional doping of, and various metal contacts to, monolayer MoS2 using density functional theory.
GradH‐Correction: guaranteed sizing gradation in multi‐patch parametric surface meshing

In this paper a new method, called GradH‐Correction, for the generation of multi‐patch parametric surface meshes with controlled sizing gradation is presented. Such gradation is obtained performing a correction on the size values located on the vertices of the background mesh used to define the control space that governs the meshing process.
Document clustering using Multi-Objective Genetic Algorithms with parallel programming based on CUDA

In this paper, we propose a method of enhancing Multi-Objective Genetic Algorithms (MOGAs) for document clustering with parallel programming. The document clustering using MOGAs shows better performance than other clustering algorithms. However, the overall computation time of the MOGAs is considerably long as the number of documents increases. To effectively avoid this problem, we implement the MOGAs with General-Purpose computing on Graphics Processing Units (GPGPU) to compute the document similarities for the clustering. Furthermore, we introduce two thread architectures (Term-Threads and Document-Threads) in the CUDA (Compute Unified Device Architecture) language. The experimental results show that the parallel MOGAs with CUDA are tremendously faster than the general MOGAs.
Interaction between isoprenaline and aminophylline in asthma

Campbell, I. A. , Middleton, W. G. , McHardy, G. J. R. , Shotter, Margaret V. , McKenzie, R. , and Kay, A. B. (1977). Thorax, 32, 424-428. Interaction between isoprenaline and aminophylline in asthma. Using a factorially designed study, 38 patients with bronchial asthma received a single dose of either isoprenaline by inhalation (9), aminophylline intravenously (10), isoprenaline and aminophylline (11), or placebo (8). The maximum expiratory flow (V max), the maximum expiratory flow at 50% of vital capacity (V max50), and the concentrations of plasma cyclic AMP were measured at time intervals up to two hours. The combination of isoprenaline and aminophylline acted synergistically in terms of the percent increase in V max50. However, this was statistically significant only at 20 minutes. Plasma cyclic AMP concentration rose with a similar time course of response to the changes in small airways. The elevations in plasma cyclic AMP observed with the drug combination were higher than those for the individual drugs at 10, 20, 30, and 60 minutes but these differences were not statistically significant. These observations support the concept that changes in bronchial smooth muscle tone are mediated by concentrations of cyclic nucleotides and that combinations of isoprenaline and aminophylline, rather than the administration of each drug separately, may have therapeutic advantages in the treatment of bronchial asthma.
CD137 Accurately Identifies and Enriches for Naturally Occurring Tumor-Reactive T Cells in Tumor

Purpose: Upregulation of CD137 (4-1BB) on recently activated CD8+ T cells has been used to identify rare viral or tumor antigen-specific T cells from peripheral blood. Here, we evaluated the immunobiology of CD137 in human cancer and the utility of a CD137-positive separation methodology for the identification and enrichment of fresh tumor-reactive tumor-infiltrating lymphocytes (TIL) or tumor-associated lymphocytes (TAL) from ascites for use in adoptive immunotherapy. Experimental Design: TILs from resected ovarian cancer or melanoma were measured for surface CD137 expression directly or after overnight incubation in the presence of tumor cells and homeostatic cytokines. CD137pos TILs were sorted and evaluated for antitumor activity in vitro and in vivo. Results: Fresh ovarian TILs and TALs naturally expressed higher levels of CD137 than circulating T cells. An HLA-dependent increase in CD137 expression was observed following incubation of fresh enzyme-digested tumor or ascites in IL-7 and IL-15 cytokines, but not IL-2. Enriched CD137pos TILs, but not PD-1pos or PD-1neg CD137neg cells, possessed autologous tumor reactivity in vitro and in vivo. In melanoma studies, all MART-1–specific CD8+ TILs upregulated CD137 expression after incubation with HLA-matched, MART-expressing cancer cells and antigen-specific effector function was restricted to the CD137pos subset in vitro. CD137pos TILs also mediated superior antitumor effects in vivo, compared with CD137neg TILs. Conclusions: Our findings reveal a role for the TNFR-family member CD137 in the immunobiology of human cancer where it is preferentially expressed on tumor-reactive subset of TILs, thus rationalizing its agonistic engagement in vivo and its use in TIL selection for adoptive immunotherapy trials. Clin Cancer Res; 20(1); 44–55. ©2013 AACR.
Identification of Tetratricopeptide Repeat 1 as an Adaptor Protein That Interacts with Heterotrimeric G Proteins and the Small GTPase Ras

ABSTRACT The biological functions of heterotrimeric G proteins and small GTPases are modulated by both extracellular stimuli and intracellular regulatory proteins. Using Saccharomyces cerevisiae two-hybrid screening, we identified tetratricopeptide repeat 1 (TPR1), a 292-amino-acid protein with three TPR motifs, as a Gα16-binding protein. The interaction was confirmed both in vitro and in transfected mammalian cells, where TPR1 also binds to several other Gα proteins. TPR1 was found to interact with Ha-Ras preferentially in its active form. Overexpression of TPR1 promotes accumulation of active Ras. TPR1 was found to compete with the Ras-binding domain (RBD) of Raf-1 for binding to the active Ras, suggesting that it may also compete with Ras GTPase-activating protein, thus contributing to the accumulation of GTP-bound Ras. Expression of Gα16 strongly enhances the interaction between TPR1 and Ras. Removal of the TPR1 N-terminal 112 residues abolishes potentiation by Gα16 while maintaining the interaction with Gα16 and the ability to discriminate active Ras from wild-type Ras. We have also observed that LGN, a Gαi-interacting protein with seven TPR motifs, binds Ha-Ras. Thus, TPR1 is a novel adaptor protein for Ras and selected Gα proteins that may be involved in protein-protein interaction relating to G-protein signaling.
Object Persistency for HEP data using an Object-Relational Database

We present an initial study of the object features of Oracle 9i – the first of the market-leading object-relational database systems that supports a true object model on the server side as well as an ODMG-style C++ language binding on the client side. We discuss how these features can be used to provide persistent object storage in the HEP environment.
Comparative Cost Analysis for Surgical and Endovascular Treatment of Unruptured Intracranial Aneurysms in South Korea

Objective A cost comparison of the surgical clipping and endovascular coiling of unruptured intracranial aneurysms (UIAs), and the identification of the principal cost determinants of these treatments. Methods This study conducted a retrospective review of data from a series of patients who underwent surgical clipping or endovascular coiling of UIAs between January 2011 and May 2014. The medical records, radiological data, and hospital cost data were all examined. Results When comparing the total hospital costs for surgical clipping of a single UIA (n=188) and endovascular coiling of a single UIA (n=188), surgical treatment [mean±standard deviation (SD) : ₩8,280,000±1,490,000] resulted in significantly lower total hospital costs than endovascular treatment (mean±SD : ₩11,700,000±3,050,000, p<0.001). In a multi regression analysis, the factors significantly associated with the total hospital costs for endovascular treatment were the aneurysm diameter (p<0.001) and patient age (p=0.014). For the endovascular group, a Pearson correlation analysis revealed a strong positive correlation (r=0.77) between the aneurysm diameter and the total hospital costs, while a simple linear regression provided the equation, y (₩)=6,658,630+855,250x (mm), where y represents the total hospital costs and x is the aneurysm diameter. Conclusion In South Korea, the total hospital costs for the surgical clipping of UIAs were found to be lower than those for endovascular coiling when the surgical results were favorable without significant complications. Plus, a strong positive correlation was noted between an increase in the aneurysm diameter and a dramatic increase in the costs of endovascular coiling.
Modeling Text through Gaussian Processes

This paper proposes a continous space text model based on Gaussian processes. Introducing latent coordinates of words over which the Gaussian process is defined, we can encode word correlations directly and lead to a model that performs better than mixture models. Our model would serve as a foundation of more complex text models and also as a statistical visualization of texts.
A data collection approach for Mobile Botnet analysis and detection

Recently, MoBots or Mobile Botnets have become one of the most critical challenges in mobile communication and cyber security. The integration of Mobile devices with the Internet along with enhanced features and capabilities has made them an environment of interest for cyber criminals. Therefore, the spread of sophisticated malware such as Botnets has significantly increased in mobile devices and networks. On the other hand, the Bots and Botnets are newly migrated to mobile devices and have not been fully explored yet. Thus, the efficiency of current security solutions is highly limited due to the lack of available Mobile Botnet datasets and samples. As a result providing a valid dataset to analyse and understand the Mobile botnets has become a crucial issue in mobile security and privacy. In this paper we present an overview of the current available data set and samples and we discuss their advantages and disadvantages. We also propose a model to implement a mobile Botnet test bed to collect data for further analysis.
Oxidative Stress Relevance in the Pathogenesis of the Rheumatoid Arthritis: A Systematic Review

Rheumatoid arthritis (RA) is an autoimmune inflammatory disease whose pathogenic mechanisms remain to be elucidated. The oxidative stress and antioxidants play an important role in the disease process of RA. The study of oxidants and antioxidants biomarkers in RA patients could improve our understanding of disease pathogenesis; likely determining the oxidative stress levels in these patients could prove helpful in assessing disease activity and might also have prognostic implications. To date, the usefulness of oxidative stress biomarkers in RA patients is unclear and the evidence supporting them is heterogeneous. In order to resume and update the information in the status of oxidants and antioxidants and their connection as biomarkers in RA, we performed a systematic literature search in the PubMed database, including clinical trials published in the last five years using the word combination “rheumatoid arthritis oxidative stress”. In conclusion, this review supports the fact that the oxidative stress is an active process in RA pathogenesis interrelated to other better known pathogenic elements. However, some controversial results preclude a definite conclusion.
Human Capital and English Language Proficiency in the Chinese Context

The employment problem of college graduates has evoked concern around the world, which is particularly prominent in China in recent years. At the same time, English language proficiency of Chinese college students has been emphasized within their university academic requirements as well as from prospective employers. The consequent market pressure on Chinese college students to obtain language qualifications has created an environment where not only the utility, but also the symbolic value of English proficiency has become essential. Human capital theory describes the complex connection between language proficiency and employment, as a foreign language skill, English is similar to other human capital and has the potential for economic value. From the theoretical perspective for relationship between English language proficiency and employment of college graduates based on human theory, recommendations are made for further both scholarly research and practitioner policies, namely: National College English Teaching Syllabus, Regulations for Full-time Undergraduate Bachelor’s Degree-granting, and Regulations for the Graduation Project.
Fc epsilon receptor, a specific differentiation marker transiently expressed on mature B cells before isotype switching

The expression of Fc epsilon R on human lymphocytes was studied with the anti-Fc epsilon R mAbs. Fc epsilon R was expressed on most mu+,delta+ circulating B cells, whereas T cells did not express Fc epsilon R even in patients with hyper-IgE syndrome. B cells with gamma, alpha, or epsilon phenotype did not express Fc epsilon R, moreover its expression could not be induced, suggesting that the Fc epsilon R expression was correlated with isotype switching. mu+delta+ B cells in bone marrow did not express Fc epsilon R, but PHA-sup (supernatant from PHA-stimulated cell cultures) could induce its expression, and the addition of IgE augmented this induction. Recombinant IL-2, IL-1, IFN- gamma or -beta, or purified B cell differentiation factor (BSF-2 B cell- stimulatory factor 2) could not induce Fc epsilon R expression in bone marrow B cells. IFN-gamma inhibited the Fc epsilon R expression induced by PHA-sup, suggesting that the human counterpart of BSF-1 may be responsible for Fc epsilon R expression in bone marrow B cells. B cells from patients with common variable immunodeficiency and ataxia telangiectasia did not express Fc epsilon R, but PHA-sup could induce its expression, indicating that circulating B cells of these patients are at a differentiation stage similar to B cells in bone marrow. The study showed that Fc epsilon R is a B cell-specific differentiation marker, the expression of which is restricted to a defined stage of B cell differentiation.
Ownership Redirection in Franchised Channels

Since the typical franchise arrangements permit the more powerful franchisors to simultaneously act as suppliers as well as competitors to their franchisees, apprehensions about potential opportunistic behaviors and allegations of antitrust violations are not uncommon. In turn, this unique structuring of franchises with dual distribution has drawn considerable scrutiny from the public policy platform. In particular, the ownership redirection hypothesis—that the powerful franchisors will reacquire the best franchised outlets relegating only the marginal units to franchisees—has received special attention because it verbalizes the worst fears associated with franchising. This paper provides an evaluation of this hypothesis. To do so, we examine (1) the key premises of the hypothesis from the perspectives of a number of related literatures and (2) the available empirical evidence on the hypothesis. Both aspects of the appraisal point to a number of unresolved issues with important public policy implications.
Comparative performance of time-frequency based EEG spike detection techniques

This paper investigates the performance of time-frequency based EEG spike detection techniques. The non-stationary nature of EEG makes time-frequency methodology a suitable tool for analysis. The high instantaneous energy of spikes are reflected as very localised energy patterns in the time-frequency domain with reduced time duration toward the high frequency area. These characteristics of spikes in the time-frequency domain makes them recognisable from the background. Two recently published spike detection methods, based on quadratic time-frequency and adaptive time-frequency parameterisation are considered in this investigation. These methods have been applied on both synthetic and real EEG signals. The obtained results show the superior performance of the quadratic time-frequency method for detecting EEG spikes in terms of resolution and robustness to noise.
Exclusion-Intersection Encryption and Its Application to Searchable Encryption?

Identity (or identifier) based encryption has shown to be a useful cryptographic schema enabling secure yet flexible role-based access control. In this paper, we propose a new notion named as exclusionintersection encryption: the sender can specify the targeted groups that are legitimated and interested in reading the documents in the encryption algorithm; there exists a trusted key generation centre generating the intersection private decryption keys on request. This special private key can only be used to decrypt the ciphertext which is of all the specified groups’ interests, its holders are excluded from reading the documents targeted to any subset of the groups (e.g. the ciphertext of only a single group’s interest). One of the applications of this new notion is to support an ad-hoc joint project of two groups which needs extra helpers that are not from either group. Another interesting application of the proposed scheme is an encrypted audit log that supports conjunctive field keyword searching, which is the first in the literature.