Miracle-dz/UniFAR-FTUs huggingface dataset:
ATLAS NOTE ATLAS-CONF-2015-045 Combined searches for WW , W Z , and Z Z resonances in pp collisions at √ s = 8 TeV with the ATLAS detector

A search for new heavy bosons decaying to WW , WZ and ZZ is presented, using a data sample of 20.3 fb − 1 of pp collisions collected with the ATLAS detector at the CERN Large Hadron Collider. The analysis combines searches in all-leptonic, semi-leptonic, and all-hadronic ﬁnal states. No signiﬁcant excess is observed in the combined analysis and production cross section limits at 95% conﬁdence level are set within the context of an extended gauge model with a heavy W (cid:48) boson and a bulk Randall–Sundrum model with a heavy spin-2 graviton. Mass limits at the 95% CL are derived on the W (cid:48) boson of an extended gauge model and on the spin-2 graviton of a bulk Randall-Sundrum model.
Association between Income and the Hippocampus Please share how this access benefits you. Your story matters

Facets of the post-natal environment including the type and complexity of environmental stimuli, the quality of parenting behaviors, and the amount and type of stress experienced by a child affects brain and behavioral functioning. Poverty is a type of pervasive experience that is likely to influence biobehavioral processes because children developing in such environments often encounter high levels of stress and reduced environmental stimulation. This study explores the association between socioeconomic status and the hippocampus, a brain region involved in learning and memory that is known to be affected by stress. We employ a voxel-based morphometry analytic framework with region of interest drawing for structural brain images acquired from participants across the socioeconomic spectrum (n=317). Children from lower income backgrounds had lower hippocampal gray matter density, a measure of volume. This finding is discussed in terms of disparities in education and health that are observed across the socioeconomic spectrum.
Efﬁcacy of Orally Administered T-705 on Lethal Avian Inﬂuenza A (H5N1) Virus Infections in Mice (cid:1)

T-705 (6-ﬂuoro-3-hydroxy-2-pyrazinecarboxamide) was inhibitory to four strains of avian H5N1 inﬂuenza virus in MDCK cells, with the 90% effective concentrations ranging from 1.3 to 7.7 (cid:1) M, as determined by a virus yield reduction assay. The efﬁcacy was less than that exerted by oseltamivir carboxylate or zanamivir but was greater than that exerted by ribavirin. Experiments with mice lethally infected with inﬂuenza A/Duck/ MN/1525/81 (H5N1) virus showed that T-705 administered per os once, twice, or four times daily for 5 days beginning 1 h after virus exposure was highly inhibitory to the infection. Dosages from 30 to 300 mg/kg of body weight/day were well tolerated; each prevented death, lessened the decline of arterial oxygen saturation (SaO 2 ), and inhibited lung consolidation and lung virus titers. Dosages from 30 to 300 mg/kg/day administered once or twice daily also signiﬁcantly prevented the death of the mice. Oseltamivir (20 mg/kg/day), administered per os twice daily for 5 days, was tested in parallel in two experiments; it was only weakly effective against the infection. The four-times-daily T-705 treatments at 300 mg/kg/day could be delayed until 96 h after virus exposure and still signiﬁcantly inhibit the infection. Single T-705 treatments administered up to 60 h after virus exposure also prevented death and the decline of SaO 2 . Characterization of the pathogenesis of the duck inﬂuenza H5N1 virus used in these studies was undertaken; although the virus was highly pathogenic to mice, it was less neurotropic than has been described for clinical isolates of the H5N1 virus. These data indicate that T-705 may be useful for the treatment of avian inﬂuenza virus infections.
On the dichotomy in auditory perception between temporal envelope and ﬁne structure cues a) (L)

It is important to know what cues the sensory system extracts from natural stimuli and how the brain uses them to form perception. To explore this issue, Smith, Delgutte, and Oxenham @ Nature ~ London ! 416 , 87–90 ~ 2002 ! # mixed one sound’s temporal envelope with another sound’s ﬁne temporal structure to produce auditory chimaeras and found that ‘‘the perceptual importance of the envelope increases with the number of frequency bands, while that of the ﬁne structure diminishes. ’’ This study addressed two technical issues related to natural cochlear ﬁltering and artiﬁcial ﬁlter ringing in the chimaerizing algorithm. In addition, this study found that the dichotomy in auditory perception revealed by auditory chimaeras is an epiphenomenon of the classic dichotomy between low- and high-frequency processing. Finally, this study found that the temporal envelope determines sound location as long as the interaural level difference cue is present. The present result reinforces the original hypothesis that the temporal envelope is critical for speech perception whereas temporal ﬁne structure is critical for pitch perception, but does not support the assertion regarding the temporal envelope and ﬁne structure as the acoustic basis for the ‘‘what’’ and ‘‘where’’ mechanisms. © Acoustical Society of America. #
High-Molecular-Weight FK506-Binding Proteins Are Components of Heat-Shock Protein 90 Heterocomplexes in Wheat Germ Lysate 1

In animal cell lysates the multiprotein heat-shock protein 90 (hsp90)-based chaperone complexes consist of hsp70, hsp40, and p60. These complexes act to convert steroid hormone receptors to their steroid-binding state by assembling them into heterocomplexes with hsp90, p23, and one of several immunophilins. Wheat germ lysate also contains a hsp90-based chaperone system that can assemble the glucocorticoid receptor into a functional heterocomplex with hsp90. However, only two components of the heterocomplex-assembly system, hsp90 and hsp70, have thus far been identified. Recently, purified mammalian p23 preadsorbed with JJ3 antibody-protein A-Sepharose pellets was used to isolate a mammalian p23-wheat hsp90 heterocomplex from wheat germ lysate (J.K. Owens-Grillo, L.F. Stancato, K. Hoffmann, W.B. Pratt, and P. Krishna [1996] Biochemistry 35: 15249–15255). This heterocomplex was found to contain an immunophilin(s) of the FK506-binding class, as judged by binding of the radiolabeled immunosuppressant drug [ 3 H]FK506 to the immune pellets in a specific manner. In the present study we identified the immunophilin components of this heterocomplex as FKBP73 and FKBP77, the two recently described high-molecular-weight FKBPs of wheat. In addition, we present evidence that the two FKBPs bind hsp90 via tetratricopeptide repeat domains. Our results demonstrate that binding of immunophilins to hsp90 via tetratricopeptide repeat domains is a conserved protein interaction in plants. Conservation of this protein-to-protein interaction in both plant and animal cells suggests that it is important for the biological action of the high-molecular-weight immunophilins.
The Survival Beneﬁts of AIDS Treatment in the United States

Rochelle P. Walensky, A. David Paltiel, Elena Losina, Lauren M. Mercincavage, Bruce R. Schackman, Paul E. Sax, Milton C. Weinstein, and Kenneth A. Freedberg Divisions of Infectious Disease and General Medicine, Department of Medicine, Massachusetts General Hospital, and Center for AIDS Research, Harvard Medical School, and Department of Health Policy and Management, Harvard School of Public Health, Departments of Biostatistics and Epidemiology, Boston University School of Public Health, and Division of Infectious Disease, Brigham and Women’s Hospital, Boston; Division of Health Policy and Administration, Yale School of Medicine, New Haven, Connecticut; Department of Public Health, Weill Medical College of Cornell University, New York, New York
TEAM BASED LEARNING IN PATHOLOGY: EFFECT ON TEST SCORES AND STUDENT SATISFACTION

Objective: The objective of this study was to compare the impact of team based learning (TBL) on student`s test scores in comparison with didactic lectures. We also wanted to assess to the level of students satisfaction regarding TBL as a teaching methodology. Study Design: Quasi experimental study. Material and Methods: Fourth year undergraduate medical students attending Pathology course University Medical Dental College (UMDC), Faisalabad in year 2013 involved the portion of Haematology were divided into two halves. The first half (H-1) was covered in two TBL sessions of two hours and 15 minutes duration each. The second half (H-2) was covered in 8 lectures of 45 minutes duration each. After completion of the course, students took test comprising of problem based SEQs regarding Hematology. The test comprised of two segments with questions of equal difficulty, representing the two halves of the topic. Students’ scores in these two segments were compared by using paired sample t-test. The students were given a validated questionnaire. This data was analyzed by using SPSS version 20. Results: The test scores were highly significant ( p =0.000) in TBL as compared to lecture group. In addition to positive significant relationship, majority of students also agreed that TBL motivated them to learn Pathology (71.72%), promoted better understanding of the subject matter (68.92%), helped to gain in depth knowledge of the subject (62.06%) and helped to remove misconceptions about the topic (65.51%). Sixty two percent students preferred TBL to didactic lectures. Conclusion: Our study proved to have a significant impact of TBL on student test scores as compared to didactic lectures. Majority of the students were satisfied with TBL as a teaching methodology in Pathology and preferred it to didactic lectures.
Electro-thermal equivalent 3D Finite Element model of a single neuron

— Objective: We propose a novel approach for modelling the inter-dependence of electrical and mechanical phenomena in nervous cells, by using electro-thermal equivalences in finite element (FE) analysis so that existing thermo-mechanical tools can be applied. Methods: First, the equivalence between electrical and thermal properties of the nerve materials is established, and results of a pure heat conduction analysis performed in Abaqus CAE Software 6.13-3 are validated with analytical solutions for a range of steady and transient conditions. This validation includes the definition of equivalent active membrane properties that enable prediction of the action potential. Then, as a step towards fully coupled models, electromechanical coupling is implemented through the definition of equivalent piezoelectric properties of the nerve membrane using the thermal expansion coefficient, enabling prediction of the mechanical response of the nerve to the action potential. Results: Results of the coupled electro-mechanical model are validated with previously published experimental results of deformation for the squid giant axon, crab nerve fibre and garfish olfactory nerve fibre. Conclusion: A simplified coupled electro-mechanical modelling approach is established through an electro-thermal equivalent FE model of a nervous cell for biomedical applications. Significance: One of the key findings is the mechanical characterization of the neural activity in a coupled electromechanical domain, which provides insights into the electromechanical behaviour of nervous cells, such as thinning of the membrane. This is a first step towards modelling 3D electromechanical alteration induced by trauma at nerve bundle, tissue and organ levels.
Ebola Virus VP24 Proteins Inhibit the Interaction of NPI-1 Subfamily Karyopherin (cid:2) Proteins with Activated STAT1 (cid:1)

The Zaire ebolavirus protein VP24 was previously demonstrated to inhibit alpha/beta interferon (IFN- (cid:1) / (cid:2) )-and IFN- (cid:3) -induced nuclear accumulation of tyrosine-phosphorylated STAT1 (PY-STAT1) and to inhibit IFN- (cid:1) / (cid:2) - and IFN- (cid:3) -induced gene expression. These properties correlated with the ability of VP24 to interact with the nuclear localization signal receptor for PY-STAT1, karyopherin (cid:1) 1. Here, VP24 is demonstrated to interact not only with overexpressed but also with endogenous karyopherin (cid:1) 1. Mutational analysis demonstrated that VP24 binds within the PY-STAT1 binding region located in the C terminus of karyopherin (cid:1) 1. In addition, VP24 was found to inhibit PY-STAT1 binding to both overexpressed and endogenous karyopherin (cid:1) 1. We assessed the binding of both PY-STAT1 and the VP24 proteins from Zaire, mouse-adapted Zaire, and Reston Ebola viruses for interaction with all six members of the human karyopherin (cid:1) family. We found, in contrast to previous studies, that PY-STAT1 can interact not only with karyopherin (cid:1) 1 but also with karyopherins (cid:1) 5 and (cid:1) 6, which together comprise the NPI-1 subfamily of karyopherin (cid:1) s. Similarly, all three VP24s bound and inhibited PY-STAT1 interaction with karyopherins (cid:1) 1, (cid:1) 5, and (cid:1) 6. Consistent with their ability to inhibit the karyopherin-PY-STAT1 interaction, Zaire, mouse-adapted Zaire, and Reston Ebola virus VP24s displayed similar capacities to inhibit IFN- (cid:2) -induced gene expression in human and mouse cells. These ﬁndings suggest that VP24 inhibits interaction of PY-STAT1 with karyopherins (cid:1) 1, (cid:1) 5, or (cid:1) 6 by binding within the PY-STAT1 binding region of the karyopherins and that this function is conserved among the VP24 proteins of different Ebola virus species. DMEM Sixteen hours post-IFN treatment, cells were harvested using reporter lysis buffer (Promega, Madison, WI) and analyzed for CAT and luciferase activities. The CAT activity was quantiﬁed by using a PhosphorImager and normalized to the luciferase activity. Alternatively, dual luciferase assays (Promega) were performed, and ﬁreﬂy luciferase activity was normalized to Renilla luciferase activity. posttransfection the STAT1-GFP-transfected cells were treated with 1,000 U/ml of IFN- (cid:3) for 1 h, and cell lysates were subsequently prepared. The cell lysates were mixed as indicated and subjected to immunopre- cipitation with the aforementioned anti-FLAG monoclonal antibody. Western blot analysis was performed with a polyclonal rabbit antiserum recognizing PY-STAT1 and anti-HA and FLAG monoclonal antibodies.
Power Relations in IS Projects : A Critical Review and a New Power Relations in IS Projects : A Critical Review and a New Research Agenda Research Agenda

This paper seeks to review and examine the major theoretical underpinnings of research into power relations in IS projects. In order to keep the review manageable and to furnish a reasonable explanation of the ideas and papers referenced, the review is restricted to the ideas of Foucault, Giddens and Clegg. Partly, this restriction was due to the wish of the authors to deal seriously with the ideas presented, and not to produce an exhaustive but terse and taxonomic style review. Partly, the selection of the above theorists is due to the fact that the major IS papers on power relations have drawn on their work. This paper concludes with the presentation of a new theory of power and social influence from social psychology suitable for use in IS research. The ideas of this theory have not yet been examined empirically. Thus, IS researchers are challenged to employ these ideas in their empirical research.
Digital transformation of small and medium enterprises: a systematic literature review and an integrative framework

Abstract The purpose of this article is two-fold. First it proposes an integrative approach based on reporting cross-disciplinary and complementary literature on effects of digital transformation on SMEs. Second, it identifies the salient managerial dimensions of building a digital transformation strategy at the organizational level for SMEs. For that purpose, we undertook a systematic review of the literature. Our descriptive analysis highlights diverse but diffuse streams of academic literature dealing with the implications of digitization in terms of managerial challenges, with a predominance of “information systems and knowledge management” and “strategic” perspectives. In the content analysis, we identify an integrative framework of three managerial dimensions that should be viewed interdependently to succeed digital transformation in SMEs and thus should drive strategic change in a transformational context: (1) Rethinking digital infrastructures and processes and digital manager involvement, (2) Implementing new organizational and managerial mechanisms and (3) Identifying the responsibility of senior management in orchestrating change. Finally, the article outlines avenues for future research and underscores the need for a cross-disciplinary approach to support SMEs digital transformation.
Anatomy and dietary specialization influence sensory behaviour among sympatric primates

Senses form the interface between animals and environments, and provide a window into the ecology of past and present species. However, research on sensory behaviours by wild frugivores is sparse. Here, we examine fruit assessment by three sympatric primates (Alouatta palliata, Ateles geoffroyi and Cebus imitator) to test the hypothesis that dietary and sensory specialization shape foraging behaviours. Ateles and Cebus groups are comprised of dichromats and trichromats, while all Alouatta are trichomats. We use anatomical proxies to examine smell, taste and manual touch, and opsin genotyping to assess colour vision. We find that the frugivorous spider monkeys (Ateles geoffroyi) sniff fruits most often, omnivorous capuchins (Cebus imitator), the species with the highest manual dexterity, use manual touch most often, and that main olfactory bulb volume is a better predictor of sniffing behaviour than nasal turbinate surface area. We also identify an interaction between colour vision phenotype and use of other senses. Controlling for species, dichromats sniff and bite fruits more often than trichromats, and trichromats use manual touch to evaluate cryptic fruits more often than dichromats. Our findings reveal new relationships among dietary specialization, anatomical variation and foraging behaviour, and promote understanding of sensory system evolution.
Modified Y-junction SIW power divider/combiner circuit

Abstract A modified compact Y-junction substrate-integrated waveguide (SIW) four-way power divider (PD)/combiner is proposed in this paper. The proposed approach is based on the traditional Y-junction waveguide. By using direct transition structure from SIW to half-mode SIW, four-way PD that provides equal power split to all four output ports is achieved. The even- and odd-mode equivalent circuits are given to analyze and design the PD. The measured results validate the proposed design methodology and show good agreement with the simulation results. The measured 17 dB return loss bandwidth and 1.2 dB insertion loss bandwidth of this four-way PD are both about 2.5 GHz.
A Critical Review of Multimodal-multisensor Analytics for Anxiety Assessment

Recently, interest has grown in the assessment of anxiety that leverages human physiological and behavioral data to address the drawbacks of current subjective clinical assessments. Complex experiences of anxiety vary on multiple characteristics, including triggers, responses, duration and severity, and impact differently on the risk of anxiety disorders. This article reviews the past decade of studies that objectively analyzed various anxiety characteristics related to five common anxiety disorders in adults utilizing features of cardiac, electrodermal, blood pressure, respiratory, vocal, posture, movement, and eye metrics. Its originality lies in the synthesis and interpretation of consistently discovered heterogeneous predictors of anxiety and multimodal-multisensor analytics based on them. We reveal that few anxiety characteristics have been evaluated using multimodal-multisensor metrics, and many of the identified predictive features are confounded. As such, objective anxiety assessments are not yet complete or precise. That said, few multimodal-multisensor systems evaluated indicate an approximately 11.73% performance gain compared to unimodal systems, highlighting a promising powerful tool. We suggest six high-priority future directions to address the current gaps and limitations in infrastructure, basic knowledge, and application areas. Action in these directions will expedite the discovery of rich, accurate, continuous, and objective assessments and their use in impactful end-user applications.
Graphs in Computer Vision then and now: how Deep Learning has reinvigorated Structural Pattern Recognition

Computer Vision Problems, such as object detection, object tracking, action recognition and so on, have been, in the past, usually addressed through Statistical Pattern Recognition techniques. SVM, Regression or Neural Networks, are some examples of classical statistical techniques that have been used, quite effectively, in many application contexts of computer vision. Nevertheless, some attempts have been proposed using more complex data structures (notably graphs) for solving Computer Vision Tasks. However, in terms of performances, their use did not have the same success as techniques based on vector representations. First part of this talk will present some of these proposals, in the context of object tracking ([1]), people re-identification ([3]) and action recognition ([2]). An graph representation is proposed in [1] to deal with occlusion problem. The representation is based on a graph pyramid, namely, each moving region is represented at different levels of resolution using a graph for each level. The algorithm compares the topmost levels of each pyramid in the association phase between moving objects in two consecutive frames. If the comparison outcome is sufficient to assign a label to each node the tracking algorithm stops. Instead, if some ambiguities arise (as it is the case when two objects over- lap), the algorithm is repeated using the next levels of the pyramids, until either a consistent labelling is found. The purpose of re-identification (re-id) is to identify people coming back into the field of view of a camera or to recognize an individual through different cameras in a distributed network. At the heart of the process there is a comparison between signatures given probe and gallery sets. In [3] graphs are used to represent people appearance and comparison is done by means of Graph Kernels. Finally, action recognition is a classification problem in which each video representing an action has to be classified with the correct action label. In [2] we proposed to represent videos using graph sequences and proposed a model inspired from bag-of-words techniques to classify a sequence. Recently, graphs have gained a lot of attention in the Computer Vision community thanks to the use of this kind of data within deep learning techniques. Graph Neural Networks have demonstrated their effectiveness in solving Computer Vision problems, and in some cases recent proposals have bridged the gap between statistical and structural pattern recognition. Second part of the talk will be devoted to illustrate some of these examples ([4, 5, 6]). Starting from the already mentioned applications in Computer Vision (object tracking, action recognition), we will discuss the new proposals based on Deep Learning with graphs and the open problems in this context.