189,376 research outputs found
Psychometric Evaluation of SAFA P Test for Eating Disorders in Adolescents: Comparative Validation with EDI-2
No full textObjective: This study evaluates the psychometric properties of self-administered psychiatric scale for children and adolescents with psychogenic eating disorders (SAFA P)-a brief self-report designed to screen and assess eating disorders (ED) in children and adolescents. Although SAFA P belongs to a broad battery of tests (SAFA) that explores different psychiatric conditions, it has not undergone appropriate validation until now. Method: We administered SAFA P and Eating Disorder Inventory 2 (EDI-2) to 87 ED patients, with an average age of 15.4 ± 1.6 years. Results: The internal reliability of SAFA P is good (Cronbach α = .776). Convergent validity with EDI-2 was assessed: both SAFA P subscale P1 (p 
SAFA deficiency promotes SFTSV replication.
No full text(A-B) THP-1 cells were transfected with SAFA siRNA (10 μM, 24 h) and control siRNA (10 μM, 24 h), and infected with SFTSV (MOI = 10) for 48 h, mRNA (A) and protein (B) levels of SFTSV NP were analyzed by RT-PCR and Western blot. (C) THP-1 cells were transfected with SAFA siRNA (10 μM, 24 h) and control siRNA (10 μM, 24 h), and infected with SFTSV (MOI = 10) for indicated time. SFTSV titers were measured by TCID50 assays. (D-E) WT and SAFA-/- THP-1 cells were infected with SFTSV (MOI = 10) for 48 h, mRNA (D) and protein (E) levels of SFTSV NP were examined by RT-PCR and Western blot. (F) WT and SAFA-/- MEF cells were infected with SFTSV for the indicated time. SFTSV titers were measured by TCID50 assays. Data were obtained from three independent experiments (n = 3). *P P <0.001.</p
A preemption-based scheduling algorithm for WiMAX networks
No full textSeveral scheduling techniques were designed for the base station (BS) of IEEE 802.16e wireless interoperability of microwave access networks. However, depending on the BS scheduler alone to determine the servicing order of each connection might affect the accuracy of the scheduling process because the BS does not necessarily have enough up-to-date information about the current state of the connections at the subscriber station. In this paper, we propose a preemption-based scheduling algorithm that focuses on improving the quality of service requirements of real-time service flow classes. The proposed algorithm incorporates two schedulers, one at the BS and another one at the subscriber station. We have implemented and integrated the proposed algorithm with the network simulator NS2 using the Network and Distributed Systems Laboratory wireless interoperability of microwave access module. Simulation results have shown that the proposed approach outperforms other scheduling algorithms in terms of enhancing the throughput and the average delay of real-time quality of service classes. © 2013 John Wiley and Sons, Ltd.Abu Ali N, 2009, COMPUT COMMUN, V32, P511, DOI 10.1016-j.comcom.2008.09.015; Andel TR, 2006, COMPUTER, V39, P48, DOI 10.1109-MC.2006.242; [Anonymous], 2009, 802162009 IEEE; [Anonymous], 2006, 80216E2006 IEEE; Chen J, 2006, WNS2 06, P5; Chen JF, 2005, IEEE ICC, P3422; Chu G, 2002, P INT C COMM CIRC SY, P435; Cicconetti C, 2007, IEEE T MOBILE COMPUT, V6, P26, DOI 10.1109-TMC.2007.250669; DEMERS A, 1989, COMP COMM R, V19, P1; Georgiadis L, 1997, IEEE T INFORM THEORY, V43, P1518, DOI 10.1109-18.623149; Hahne EL, 1986, P IEEE INT C COMM TO; Hawa M, 2002, P 10 IEEE INT WORKSH, P247; Madhavapeddi Shreedhar and George Varghese, 1995, ACM COMPUTER COMMUNI, V25, P231, DOI DOI 10.1145-217391.217; Moraes L, 1984, IEEE T COMMUN, V32, P583, DOI 10.1109-TCOM.1984.1096106; Pitic R, 2010, WIREL COMMUN MOB COM, V10, P912, DOI 10.1002-wcm.802; Safa H, 2007, I C COMP SYST APPLIC, P203, DOI 10.1109-AICCSA.2007.370884; Safa H, 2011, P IEEE INT C SEL TOP, P94; Sayenko A, 2008, COMPUT NETW, V52, P96, DOI 10.1016-j.comnet.2007.09.021; So-In C, 2009, P IFIP WIR DAYS C DE, P1; Tokel TB, 2010, EURASIP J WIREL COMM, DOI 10.1155-2010-5275910
SAREC-Lab/SAFA-Artifacts: SAFA Artifacts
No full text<p>In this repository we make a set of artifacts available that were used for experiments in the paper:</p>
<p>Leveraging Artifact Trees to Evolve and Reuse Safety Cases Ankit Agrawal, Seyedehzahra Khoshmanesh, Michael Vierhauser, Mona Rahimi, Jane Cleland-Huang, Robyn Lutz, International Conference on Software Engineering, Montreal, Canada, 2019</p>
SAFA deficiency decreased the chromatin accessibility of antiviral immune genes.
No full text(A) Models depicting the ATAC-seq and RNA-seq in Wild-type (WT) and SAFA−/− THP-1 cells with VSV infection(upper), and immunoblotting results showing the knockout of SAFA in THP-1 cells (lower). (B) Feature distribution of ATAC-seq profile after VSV infection in WT and SAFA−/− THP-1 cells. (C) Line graph showing SAFA in regulation of VSV induced accessible locus and insensitive locus. (D) Violin graph showing ISGs affected by SAFA depletion in ATAC-seq. (E) Genome browser views of ATAC-seq signal for the indicated genes. (F) WT and SAFA−/− THP-1 cells were infected with VSV infection for indicated times, and ATAC-qPCR showed the chromatin accessibility of indicated genes. (G) GO term enrichment analysis of genes significantly affected by SAFA depletion in RNA-seq. (H) Counting Kit-8 (CCK-8) assay to evaluate the cell viability at indicated time points infected by VSV at 0.1 MOI in both HEK293T cells and THP-1 cells. *p p p p (TIF)</p
Knockout of SAFA reduces immune responses induced by SFTSV infection.
No full text(A) Knockout of SAFA in THP-1 cells and MEF cells, identified by Western blot. (B-C) WT and SAFA-/- MEF cells were infected with SFTSV (MOI = 10) for 48 h, IFNβ mRNA level was detected by RT-PCR (B), IFNβ cytokine levels were analyzed by ELISA (C). (D) WT and SAFA-/- THP-1 cells were infected with SFTSV (MOI = 10) for 48 h, IL-1β, IL-6, TNFα, and CXCL10 mRNA levels were analyzed by RT-PCR. (E) WT and SAFA-/- THP-1 cells were infected with SFTSV (MOI = 10) for 48 h. The p-TBK-1, TBK-1, p-IRF3, IRF3, p-p65, and p65 protein levels were analyzed by Western blot. Western blot data were semi-quantified and normalized against β-actin protein loading control. Data were obtained from three independent experiments (n = 3). **P P P <0.00001.</p
SAFA deficiency decreased the activation of antiviral immune genes.
No full text(A) Models depicting the ChIP-seq assay of H3K27ac in Wild-type (WT) and SAFA−/− THP-1 cells with VSV infection for indicated hours. (B) Venn diagram showing amounts of enhancers in WT and SAFA−/− THP-1 cells with VSV infection. (C) GO term enrichment analysis of enhancers-related genes affected by SAFA depletion in ChIP -seq. (D) Delineation of -enhancers super based on H3K27Ac occupancy in WT and SAFA−/− THP-1 cells with VSV infection using the ROSE algorithm. (E) Line graph (RPKM) showing SAFA in regulation of VSV-induced and housekeeping supper-enhancer formation. (F) GO term enrichment analysis of super-enhancers related genes affected by SAFA depletion in ChIP -seq. (G) Genome browser views of ChIP -seq signal for the indicated genes. The cells were infected by VSV at 0.1 MOI. Data were pooled from two independent experiments (B-F). Data were representative of two independent experiments (G).</p
SAFA is involved in the infection of SFTSV.
No full text(A) THP-1 cells were infected with SFTSV (MOI = 10) for 12, 24, or 48 h. SAFA protein levels were analyzed by Western blot. Western blot data were semi-quantified and normalized against β-actin protein loading control. (B) THP-1 cells were infected with SFTSV (MOI = 10) for 12, 24, or 48 h. SAFA mRNA was analyzed by RT-PCR. (C) THP-1 cells were infected with SFTSV (MOI = 0, 1, 5, 10) for 48 h. SAFA protein levels were analyzed by Western blot. Western blot data were semi-quantified and normalized against β-actin protein loading control. (D) THP-1 cells were infected with SFTSV (MOI = 0, 1, 5, 10) for 48 h. SAFA mRNA levels were analyzed by RT-PCR. (E) MEF cells were infected with SFTSV (MOI = 10) for the indicated time. Nuclear and cytoplasmic proteins were separated. SAFA, Lamin A, and Rab5 protein levels were analyzed by Western blot. Lamin A and Rab5 were nuclear and cytoplasmic index proteins respectively. Nuclear and cytoplasmic Western blot data were semi-quantified and normalized against Lamin A and Rab5 protein loading control respectively. (F) MEF cells and THP-1 cells were infected with or without SFTSV (MOI = 10) for 48 h, SFTSV NP (purple), SAFA (green), and DAPI (blue) were analyzed by confocal microscopy. Data were obtained from three independent experiments (n = 3). *P P P P <0.00001, ns, not significant.</p
SAFA deficiency decreased the activation of antiviral immune genes.
No full text(A) Heatmap showing the ChIP-seq signal enrichment around the TSSs of H3K27ac in WT and SAFA−/− THP-1 cells with VSV infection for 8 or 24 hours. (B) Histogram diagram showing amounts of enhancers in WT and SAFA−/− THP-1 cells with VSV infection. (C) Histogram diagram showing amounts of super-enhancers in WT and SAFA−/− THP-1 cells with VSV infection. (D) Genome browser views of ChIP -seq signal for the indicated genes. (E) WT and SAFA−/− THP-1 cells were infected with VSV infection for indicated times, and ChIP-qPCR signal showing H3K27Ac occupancy of indicated genes. (F) WT and SAFA−/− THP-1 cells were infected with VSV infection for indicated times, and ChIP-qPCR signal showing RNA Ploymerase II occupancy of indicated genes. (G) Pie graph showing distribution of super-enhancer-driven genes. *p (TIF)</p
An interoperability model for supporting reliability and power-efficient routing in MANETs
No full textHandheld devices in Mobile Ad hoc Networks (MANETs) use different communication technologies and are equipped with different software- hardware processing capabilities. This multi-level heterogeneity poses a serious challenge on the performance of such networks. This paper proposes an interoperability model for supporting coexistence between heterogeneous devices and power-efficient routing in a mobile environment. The model is represented through a three-layered paradigm: a communication service layer that deals with available communication capabilities; a communication capability layer that is responsible for controlling and managing the lower communication service layer; and a communication interface layer that provides the applications with a unified public interface. The paper focuses on the architecture and design of the system, and also presents simulation results to show the impact of the proposed model on the network performance. Copyright © 2009, Inderscience Publishers.[Anonymous], 1999, 80211 IEEE; Bisdikian C, 2001, IEEE COMMUN MAG, V39, P86, DOI 10.1109-35.968817; BLUETOOTH SIG, 2001, SPECIFICATION BLUETO; Broch J., 1999, INT S PAR ARCH ALG N, P370; CHAKERES I, 2003, 200318 U CAL SANT BA; Chlamtac I, 2003, AD HOC NETW, V1, P13, DOI DOI 10.1016-S1570-8705(03)00013-1; Clausen T., 2003, 3626 RFC; Crow BP, 1997, IEEE COMMUN MAG, V35, P116, DOI 10.1109-35.620533; FEENEY L, 1999, T9911 SICS; Feeney LM, 2001, MOBILE NETW APPL, V6, P239, DOI 10.1023-A:1011474616255; Gast M. S., 2002, 802 11 WIRELESS NETW; GAUTHIER P, 1996, P MOMUC 96 SEPT PRIN; Lansford J, 2001, IEEE NETWORK, V15, P20, DOI 10.1109-65.953230; Lundberg M, 2004, P 21 IEEE INSTR MEAS, V1, P91; Mahmoud Q. H., 2003, WIRELESS APPL PROGRA; MUCHOW J, 2001, J2ME 3, V101; Perkins C., 2004, AD HOC NETWORKING; Perkins C. E., 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications, DOI 10.1109-MCSA.1999.749281; Safa H, 2006, P 2 IEEE INT C WIR M, P45; SAFA H, 2007, P 5 ACS IEEE INT C C, P893; SWEET C, 1999, IEEE 802 11 PERFORMA; Villasenor-Gonzalez L, 2005, IEEE COMMUN MAG, V43, P118, DOI 10.1109-MCOM.2005.1470838; Weniger K, 2004, IEEE NETWORK, V18, P6, DOI 10.1109-MNET.2004.131675444
- …
