WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7150

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Department: search.filters.department.İzmir Institute of Technology. RectorateWoS Q: search.filters.wosQuartile.Q2

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Now showing 1 - 10 of 23
  • Article
    An Empirical Study of Sequential Offer Bargaining During the Festival of Sacrifice
    (Elsevier, 2024) Dindaroğlu, Burak; Ertaç, Seda
    We report results from a unique data set of real -life bargaining transactions collected from the market for livestock (sheep) before the Festival of Sacrifice (Eid al-Adha) in Izmir, Turkey. This market is characterized by frequent and aggressive bargaining, which occurs in the form of sequential price offers. We record bargaining transactions as they occur, and collect detailed information on the bargaining environment, as well as on the characteristics of buyers and sellers. We also elicit each seller's outside option by means of an incentive compatible mechanism and obtain a reported maximum willingness to pay from buyers. We particularly focus on aspects of the bargaining process, such as non -price communication. In different types of empirical analysis, results robustly indicate that the presence and content of communication matters, for the likelihood of a sale as well as concessions made. Specifically, buyer -side communication is associated with larger concessions from the seller and a higher probability of sale. The presence of a mediator during the negotiation is associated with a higher probability of sale as well, while it has no effect on prices. We also provide results on the relative importance of groups of variables for predicting bargaining outcomes, which can provide directions for further research in bargaining.
  • Article
    Citation - WoS: 2
    Citation - Scopus: 3
    Nkx3.1 Expression Contributes To Epithelial-Mesenchymal Transition of Prostate Cancer Cells
    (American Chemical Society, 2023) Saydullaeva, Iroda; Debeleç Bütüner, Bilge; Korkmaz, Kemal Sami
    Studies demonstrate that inflammation synergizes with highgrade aggressive prostate tumor development and ultimately metastatic spread, in which a lot of work has been done in recent years. However, the clear mechanism of inflammation inciting prostate cancer remains largely uncharacterized. Our previous study has shown that the conditioned media (CM)-mediated LNCaP cell migration is partially correlated with the loss of expression of the tumor suppressor NKX3.1. Here, we continue to investigate the inflammation-mediated migration of prostate cancer cells, and the role of NKX3.1 in this process to gain insights into cell migration-related changes comprehensively. Earlier, the model of inflammation in the tumor micro environment have been optimized by our research group; here, we continue to investigate the time-dependent effect of CM exposure together with NKX3.1 changes, in which we observed that these changes play important roles in gaining heterogeneous epithelial-to-mesenchymal transition (EMT) phenotype. Hence, this is an important parameter of tumor progression; we depleted NKX3.1 expression using the CRISPR/Cas9 system and examined the migrating cell clusters after exposure to inflammatory cytokines. We found that the migrated cells clearly demonstrate reversible loss of E-cadherin expression, which is consistent with subsequent vimentin expression alterations in comparison to control cells. Moreover, the data suggest that the AR mediated transcriptional program also contributes to mesenchymal-to-epithelial transition (MET) in prostate cancer progression. Furthermore, the quantitative proteomic analysis showed that migrated subpopulations from the same cell line presented different phenotypes in which the proteins overexpressed are involved in cell metabolism and RNA processing. According to KEGG pathway analysis, the ABC transporters were found to be the most significant. Thus, the dynamic process of cellular migration favors diverse genetic compositions under changing tumor microenvironments. The different levels of invasiveness are supported by shifting the cells in between these EMT and MET phenotypes.
  • Article
    Citation - WoS: 1
    Network Analysis of Innovation Mentor Community of Practice
    (Emerald Group Publishing, 2023) Altınışık, Günda Esra; Aydın, Mehmet Nafiz; Perdahçı, Ziya Nazım; Pasin, Merih
    PurposePositive effect of knowledge sharing (KS) on innovation has come to the fore and government-supported innovation and mentoring communities or mentor networks have become widespread. This article aims to examine the community connectedness and mentors' preferences for professional competency-based KS of such innovation community of practice networks (CoPNs).Design/methodology/approachThe paper constructs a directed weighted CoPN model with a node-attribute-based novel fingerprint edge weights. Based on the CoPN, Social Network Analysis (SNA) metrics and measures including Giant Component (GC) were proposed and analyzed to identify mentors' connectedness preferences. The fingerprint was proposed as a novel binarized node attribute of competence. Jaccard similarity of fingerprints was proposed as edge weights to reveal correlations between competences and preferences for KS.FindingsThe work opted to conduct a survey of 28 innovation mentors to measure a CoPN. Both a name generator question and a second set of questions were employed to invite respondents to name their collaborators and indicate their professional competence. SNA metrics result in differing values for GC and the rest, which lead us to focus on GC to reveal salient metrics of connectedness. Jaccard similarity analysis results on GC demonstrate that mentors collaborate in an interdisciplinary manner.Originality/valueBased on the CoPN, the methods proposed may be effective in predicting preferred relationships for interdisciplinary collaborations, providing the managers with an analytical decision support tool for KS in practice.
  • Article
    Interpersonal Trust, Invention, and Innovation Across European Regions
    (John Wiley and Sons Inc, 2023) Dindaroğlu, Burak
    Many studies in economics and regional science claim a positive link between interpersonal trust and innovation by demonstrating a positive effect of trust on patenting. This contrasts many findings from organization level studies on trust and innovation, who report a variety of findings including inverted-U type relations. A possible explanation is that trust exhibits different roles in invention and innovation, as the former relies on knowledge commons while the latter directly embeds commercialization and the market context. This study attempts to reconcile the two set of findings by studying indicators of invention and innovation in relation to trust at the same unit of observation, by using the regional variation in Europe. I study the relationship between interpersonal trust and patent applications (a measure of invention), trademark applications (a composite indicator) and the share of innovative sales in turnover by SMEs (a direct indicator of commercialization), across European regions. I show that trust positively affects trademark applications with an effect that is comparable to that on patent applications. However, trust exhibits an inverted-U type relationship with innovative sales. Results collectively point to a strong role of trust in all three creative activities, including a negative effect at the higher end when the indicator is directly contingent on commercialization and sales. I also estimate the extent of spatial spillovers in the effect of trust on all three creative outcomes. © 2023 Wiley Periodicals LLC.
  • Correction
    Citation - WoS: 1
    Citation - Scopus: 2
  • Correction
    Citation - Scopus: 3
  • Article
    Citation - WoS: 28
    Citation - Scopus: 33
    Search for Low-Mass Dilepton Resonances in Higgs Boson Decays To Four-Lepton Final States in Proton-Proton Collisions at Root S=13 Tev
    (Springer, 2022) Karapınar, Güler; CMS Collaboration
    A search for low-mass dilepton resonances in Higgs boson decays is conducted in the four-lepton final state. The decay is assumed to proceed via a pair of beyond the standard model particles, or one such particle and a Z boson. The search uses proton-proton collision data collected with the CMS detector at the CERN LHC, corresponding to an integrated luminosity of 137 fb(-1), at a center-of-mass energy root s = 13 TeV. No significant deviation from the standard model expectation is observed. Upper limits at 95% confidence level are set on model-independent Higgs boson decay branching fractions. Additionally, limits on dark photon and axion-like particle production, based on two specific models, are reported.
  • Article
    Citation - WoS: 3
    Citation - Scopus: 5
    Search for Strongly Interacting Massive Particles Generating Trackless Jets in Proton-Proton Collisions at Root S=13 Tev
    (Springer, 2022) Karapınar, Güler; CMS Collaboration
    A search for dark matter in the form of strongly interacting massive particles (SIMPs) using the CMS detector at the LHC is presented. The SIMPs would be produced in pairs that manifest themselves as pairs of jets without tracks. The energy fraction of jets carried by charged particles is used as a key discriminator to suppress efficiently the large multijet background, and the remaining background is estimated directly from data. The search is performed using proton-proton collision data corresponding to an integrated luminosity of 16.1 fb(-1), collected with the CMS detector in 2016. No significant excess of events is observed above the expected background. For the simplified dark matter model under consideration, SIMPs with masses up to 100 GeV are excluded and further sensitivity is explored towards higher masses.
  • Article
    Citation - WoS: 21
    Citation - Scopus: 25
    Search for a Heavy Vector Resonance Decaying To a Z Boson and a Higgs Boson in Proton-Proton Collisions at <mml:msqrt>s</Mml:msqrt>=13 Te
    (Springer, 2021) CMS Collaboration; Karapınar, Güler
    A search is presented for a heavy vector resonance decaying into a Z boson and the standard model Higgs boson, where the Z boson is identified through its leptonic decays to electrons, muons, or neutrinos, and the Higgs boson is identified through its hadronic decays. The search is performed in a Lorentz-boosted regime and is based on data collected from 2016 to 2018 at the CERN LHC, corresponding to an integrated luminosity of 137 fb-1. Upper limits are derived on the production of a narrow heavy resonance Z ', and a mass below 3.5 and 3.7 Te is excluded at 95% confidence level in models where the heavy vector boson couples predominantly to fermions and to bosons, respectively. These are the most stringent limits placed on the Heavy Vector Triplet Z ' model to date. If the heavy vector boson couples exclusively to standard model bosons, upper limits on the product of the cross section and branching fraction are set between 23 and 0.3 fb for a Z ' mass between 0.8 and 4.6 Te, respectively. This is the first limit set on a heavy vector boson coupling exclusively to standard model bosons in its production and decay.
  • Article
    Citation - WoS: 19
    Citation - Scopus: 25
    Music: a Model-Unspecific Search for New Physics in Proton-Proton Collisions at Root S=13tev
    (Springer, 2021) Karapınar, Güler
    Results of the Model Unspecific Search in CMS (MUSiC), using proton-proton collision data recorded at the LHC at a centre-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 35.9 fb(-1), are presented. The MUSiC analysis searches for anomalies that could be signatures of physics beyond the standard model. The analysis is based on the comparison of observed data with the standard model prediction, as determined from simulation, in several hundred final states and multiple kinematic distributions. Events containing at least one electron or muon are classified based on their final state topology, and an automated search algorithm surveys the observed data for deviations from the prediction. The sensitivity of the search is validated using multiple methods. No significant deviations from the predictions have been observed. For a wide range of final state topologies, agreement is found between the data and the standard model simulation. This analysis complements dedicated search analyses by significantly expanding the range of final states covered using a model independent approach with the largest data set to date to probe phase space regions beyond the reach of previous general searches.