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Observation of Same-Sign WW Production from Double Parton Scattering in Proton-Proton Collisions at ?s=13 TeV
Get PDFThe first observation of the production of (WW +/-)-W-+/- bosons from double parton scattering processes using same-sign electron-muon and dimuon events in proton-proton collisions is reported. The data sample corresponds to an integrated luminosity of 138 fb(-1) recorded at a center-of-mass energy of 13 TeV using the CMS detector at the CERN LHC. Multivariate discriminants are used to distinguish the signal process from the main backgrounds. A binned maximum likelihood fit is performed to extract the signal cross section. The measured cross section for production of same-sign W bosons decaying leptonically is 80.7 +/- 11.2(stat) (+9.5)(-8.6)(syst) +/- 12.1(model) fb, whereas the measured fiducial cross section is 6.28 +/- 0.81(stat) +/- 0.69(syst) +/- 0.37(model) fb. The observed significance of the signal is 6.2 standard deviations above the background-only hypothesis
Diatom silica frustules-doped fibers for controlled release of melatonin for bone regeneration
No full textSustained release of a bioactive agent from a tissue engineering scaffold is one of the most common strategies to improve regenerative potential of the construct. However, depending on the chemistry of the agent, achieving high enough loading and controlled release can be challenging depending on the scaffold materials. These shortcomings can be solved by novel scaffold design fabricated by appropriate techniques and materials for the target tissue. In this study, an electrospun scaffold was designed to improve osteogenic activity of cells and diatom silica frustules were used to sustain loading and controlled release of a hydrophilic molecule, melatonin. Fibrous scaffolds were produced via wet electrospinning of the polymer blend solution poly(hydroxybutyrate-co- hydroxyvalerate (PHBV)/poly(epsilon-caprolactone) (PCL) which contains melatonin loaded diatom frustules. In the 3D fiber matrix diatom frustules were covered with a polymer coat which successfully lowered melatonin release more than half through 7 days achieving a controlled release. Melatonin had a concentration dependent effect on ALP activity of cells, while scaffolds bearing melatonin loaded frustules have significantly improved ALP activity of Saos-2 cells. Developed scaffold system has successfully induced osteogenic activity by controlled melatonin delivery and silica nature of diatom frustules which hold potential use for bone tissue engineering
Are Turkish Non-Case-Marked Objects with and without bir Interpreted and Acquired Differently?
Get PDFWhether non-case-marked objects with and without the numeral bir in Turkish have the same structural properties or not has been a topic of discussion for decades. This study aims to contribute to this discussion with experimental data that compares the comprehension of these object types along with their accusative-marked indefinite counterparts in terms of their scope with respect to negation by four-, five-, and six-year-old children as well as adults. The results suggest that both non-case-marked objects with and without bir contrast with accusative-marked indefinite objects and have a narrow scope with respect to negation in adults’ speech. However, bir can still have a main effect on the interpretation of the objects, just like the accusative case, and unlike non-case-marked objects without bir, objects with bir may scope over negation. Children treat all object types alike at age four and distinguish objects with and without bir at age five. These findings are compatible with an account that assumes different structures for two types of non-case-marked objects
Shipment size and vehicle choice modeling for road freight transport: A geographical perspective
No full textShipment size and freight transport mode choice have been modeled previously in many studies. There are several studies on the road transport level of this subject as well. This study investigates shipment size and road freight vehicle choice from a geographical point of view. An industrial region in a province may be neighboring another province, a large metropolitan area. Then, freight vehicle choice patterns in that industrial region may differ from the rest of the province it is part of. In this research, data were obtained from Kocaeli province in Turkiye. Modeling techniques include Analysis of Covariance (ANCOVA) for shipment size choice and Discrete Choice approaches for vehicle choice. This study investigates the effects of neighboring using dummy variable and market segmentation approaches. Both approaches show that one region of Kocaeli, neighboring Istanbul, has different vehicle choice mechanisms from the rest of Kocaeli. Therefore, in shipment size and freight vehicle choice modeling or freight transportation master plans for a region, neighboring effects of other large metropolitan areas should be considered. If necessary, separate models may be required for such regions. Effects of several variables on shipment size and vehicle choice patterns are also given
The Effectiveness of Online EMDR 2.0 Group Protocol on Posttraumatic Stress Disorder Symptoms, Depression, Anxiety, and Stress in Individuals Who Have Experienced a Traffic Accident: A Preliminary Study
No full textIntroduction: As an innovative procedure, eye movement desensitization and reprocessing (EMDR) 2.0, which is based on standard EMDR, draws attention with its promising results. The adaptation of EMDR 2.0 to groups will be a significant contribution to the psychology literature. Considering the effectiveness of EMDR 2.0 on individual applications, this is a preliminary study that aims to explore the role of EMDR 2.0 on groups by developing the EMDR 2.0 group protocol (EMDR 2.0 GP). Methods: In this pilot study, EMDR 2.0 GP is applied to a group of seven participants who had been exposed to a traffic incident. The role of EMDR 2.0 GP (three sessions; 3.5 hours in total) on posttraumatic stress disorder (PTSD) symptoms, depression, anxiety, and stress was measured. The Impact of Event Scale—Revised and the Depression-Anxiety-Stress Scale-21 (DASS-21) were used to assess these symptoms at pretreatment, one-week posttreatment, and one-month posttreatment. Results: The participants (mean age = 47.14 ± 9.65) with a traffic accident experience (mean of the time elapsed = 88.57 ± 38.24 months) received EMDR 2.0 GP. Results showed that the EMDR 2.0 group had significantly lower depression (?² [2, n = 7] = 9.364, p =.009, Kendall’s W =.668) and stress (?² [2, n = 7] = 8.667, p =.013, Kendall’s W =.619) on the subscales of DASS-21 and lower intrusions (?² [2, n = 7] = 6.333, p =.042, Kendall’s W =.452), avoidance (?² [2, n = 7] = 7.280, p =.026, Kendall’s W =.520), and hyperarousal (?² [2, n = 7]) = 10.800, p =.005, Kendall’s W =.771) at posttreatment. Conclusion: The pilot study of EMDR 2.0 GP indicated that this newly developed protocol that was first applied to the group may be effective in reducing depression, stress, and PTSD symptoms among a nonclinical sample. This pilot study supports future randomized controlled EMDR GP applications. © 2023 EMDR International Association
Sound as technologies of the self for feminist pedagogy
No full textThis paper discusses the possibilities of sound and sonic thinking as feminist pedagogical tools for self-reflexivity, reimagining, and communal awareness. The collaborative reflections of the facilitators of and two participants in the Gender and Sound course that took place within the body of Bilimler Koyu - an alternative educational initiative with a focus on transdisciplinary, collaborative, and ecologic learning - theoretically argue that sonic thinking opens space for the questioning of dominant cultural narratives, identities and structures, and for thinking about possible subject positions beyond those which are already established. Therefore sound, as an umbrella term for the auditory, constitutes technologies of the self that might have the ability to reconceptualize the self, agency and resistance
The use of the past by the Alternative for Germany and the Front National: heritage populism, Ostalgia and Jeanne D'Arc
No full textRight-wing populist parties and their supporters in Europe who are exposed to the ambiguities of the present are more likely to assemble their futures with a retrospective understanding, which essentializes the past, myths, and local history, the repertoire of which is often very rich. Alternative for Germany (AfD) and Front National (FN) are two right-wing populist parties that successfully exploit the past in mainstreaming their political projects. The use of the past provides some disenfranchised individuals with a shield protecting them against the perils of globalisation. Today, the past is being used in different ways, ranging from abuses, lies, and vulgarization to political cultures of regret and sorrow, as in the exploitation of the dissonant past by the AfD, or to right-wing populist recreation of nationalisms and parochialisms, as in the revitalization of the myth of Jeanne D'Arc by the FN. Based on extensive desk research as well as a set of semi-structured interviews conducted with the supporters of the AfD and the FN in 2017 in Dresden (Germany) and Toulon (France), this article demonstrates how the AfD and the FN have utilized heritage populism to appeal to their supporters in remote places who experience socioeconomic, spatial and nostalgic deprivation.European Commission [693289, 785934]; European Research Council (ERC) [785934] Funding Source: European Research Council (ERC)This work was supported by the European Commission [693289,785934]
Artificial Intelligence Contribution to Art-Therapy using Drawings of the House-Person-Tree Test
No full textAksaray University;IEEE Seccion Espana;University de La Laguna2023 International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 -- 19 July 2023 through 21 July 2023 -- -- 192890This paper applies computer vision and artificial intelligence algorithms to the HTP (House-Tree-Person) test, a projective test intended to measure different aspects of personality using drawings. The drawn pictures are assumed to represent the subject's attitudes and feelings regarding themselves, other and their family. The House-Tree-Person evaluation uses "Qualitative Scoring,"which is a subjective analysis influenced by the therapists that can be used to infer aggressive, depressive or anxious characteristics in the drawings. This paper is part of a larger project that aims to use artificial intelligence and image-processing techniques to support this process, hence reducing the bias factor from the equation. With the collaboration of the Department of Psychology at Istanbul Bilgi University, the project investigates on possible approaches to extract discriminative features out of HTP sketch images and it searches for a meaningful combination, which will support therapists in their diagnostic assessments. After data pre-processing, image classification of clinical HTP data was conducted using the ResNet152 model and achieving a test accuracy of 66%. Furthermore, the experiment of the detection of the "pen pressure"feature was performed using Skeletonization and morphological image processing; however, due to a lack of ground truth, the performance of the proposed algorithm is not determined yet. © 2023 IEEE
Development of a hybrid model to plan segment based optimal promotion strategy
No full textThe study addresses the long-term effects of promotions in terms of movement in a value-based segmentation (lead, iron, gold, platinum), instead of simply looking at response rates that occur shortly after the promotion. The study develops a framework for planning an optimal promotion strategy via Markov Decision Processes and Machine Learning methods for an online department store. In the first phase, the states are set as the customer profitability segments in order to conduct the MDPs. Then, MDP model is solved, and the optimal decision for each segment is determined. In the second phase, in order to aid the company for making their plans for the next year, the segment that the customer will belong to next year should be predicted. Prediction of the future customer profitability segment is performed by using several machine learning algorithms, and the best performing model is selected. Using this best performing model, the company can predict the future (potential) profitability segment of the customer and make plans which include the optimal promotions that will be directed to the customers depending on their segments (these optimal promotions are the outcomes of the first phase). The proposed framework can be applied by practitioners in e-commerce companies which keep customer data