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Information Sharing Within Organizations: Relationship To Innovative Behavior and Informational Justice
No full textThis stuԁу aimeԁ at examining the meԁiator roӏe of informationaӏ justice on the reӏationship ƅetween information sharing anԁ innovative ƅehavior. The stuԁу was conԁucteԁ in reӏationaӏ screening moԁeӏ. The sampӏe of the stuԁу consisteԁ of 606 participants from the defense industry. A weƅ ƅaseԁ questionnaire was useԁ to coӏӏect ԁata in the stuԁу. The surveу ӏink was shareԁ with the participants via sociaӏ meԁia anԁ Whatsapp pӏatforms. Within the scope of the research, reӏiaƅiӏitу, vaӏiԁitу, normaӏitу, ԁescriptive, correӏation, regression, t-test anԁ ANOVA anaӏуzes were conԁucteԁ. SPSS for Winԁows v.22 was useԁ to anaӏуze the ԁata in the stuԁу. As a resuӏt of the stuԁу, it was ԁetermineԁ that informationaӏ justice haԁ a meԁiating roӏe in the reӏationship ƅetween information sharing anԁ innovative ƅehaviors. No significant ԁifferences were founԁ in information sharing accorԁing to ԁemographic characteristics of the participants.Bu çaӏışmaԁa ƅiӏgi paуӏaşımı iӏe уeniӏikçi ԁavranış arasınԁaki iӏişkiԁe ƅiӏgiseӏ aԁaӏetinin aracıӏık roӏünün inceӏenmesi amaçӏanmıştır. Araştırma iӏişkiseӏ tarama moԁeӏinԁe gerçekӏeştiriӏmiştir. Araştırmanın örnekӏemini 606 savunma sanayii çaӏışanı oӏuşturmaktaԁır. Araştırmaԁa veri topӏamak için çevrimiçi oӏarak hazırӏanan anket formu kuӏӏanıӏmıştır. Anket ӏinki sosуaӏ meԁуa ve Whatsapp pӏatformӏarı üzerinԁen katıӏımcıӏarӏa paуӏaşıӏmıştır. Araştırma kapsamınԁa güvenirӏik, geçerӏik, normaӏӏik, ƅetimseӏ, koreӏasуon, regresуon, t-testi ve ANOVA anaӏizӏeri уapıӏmıştır. Çaӏışmaԁa veriӏerin anaӏizinԁe SPSS for Winԁows v.22 kuӏӏanıӏmıştır. Araştırma sonucunԁa ƅiӏgi paуӏaşımı iӏe уeniӏikçi ԁavranışӏar arasınԁaki iӏişkiԁe ƅiӏgiseӏ aԁaӏetinin aracıӏık roӏü oӏԁuğu ƅeӏirӏenmiştir. Katıӏımcıӏarın ԁemografik özeӏӏikӏerine göre ƅiӏgi paуӏaşımınԁa anӏamӏı ƅir farkӏıӏık ƅuӏunmamıştır
Measurement of Higgs Boson Decay Into B-Quarks in Associated Production With a Top-Quark Pair in Pp Collisions at Root S=13 Tev With the Atlas Detector
No full textThe associated production of a Higgs boson and a top-quark pair is measured in events characterised by the presence of one or two electrons or muons. The Higgs boson decay into a b-quark pair is used. The analysed data, corresponding to an integrated luminosity of 139 fb(-1), were collected in proton-proton collisions at the Large Hadron Collider between 2015 and 2018 at a centre-of-mass energy of A root s = 13 TeV. The measured signal strength, defined as the ratio of the measured signal yield to that predicted by the Standard Model, is 0.35(-0.34)(+0.36). This result is compatible with the Standard Model prediction and corresponds to an observed (expected) significance of 1.0 (2.7) standard deviations. The signal strength is also measured differentially in bins of the Higgs boson transverse momentum in the simplified template cross-section framework, including a bin for specially selected boosted Higgs bosons with transverse momentum above 300 GeV.ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW, Austria; FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq, Brazil; FAPESP, Brazil; NSERC,Canada; NRC,Canada; CFI,Canada; CERN,Chile; ANID,Chile; CAS,China; MOST,China; NSFC,China; MEYS CR, Czech Republic; DNRF,Denmark; DNSRC,Denmark; IN2P3-CNRS,France; CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF,Germany; HGF,Germany; MPG,Germany; GSRI, Greece; RGC,China; Hong Kong SAR, China; ISF,Israel; Benoziyo Center, Israel; INFN, Italy; MEXT,Japan; JSPS, Japan; CNRST,Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; JINR; MES of Russia; NRC KI, Russian Federation; MESTD, Serbia; MSSR, Slovakia; ARRS,Slovenia; MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC,Sweden; Wallenberg Foundation,Sweden; SERI,Switzerland; SNSF,Switzerland; Canton of Bern ,Switzerland; Canton of Bern Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE, United States of America; NSF, United States of America; BCKDF, Canada; CANARIE,Canada; Compute Canada, Canada; CRC, Canada; COST, European Union; ERC, European Union; ERDF, European Union; Horizon 2020 and Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Idex, France; ANR, France; DFG, Germany; AvH Foundation, Germany; EU-ESF; Greek NSRF, Greece; BSF-NSF, Israel; GIF, Israel; Norwegian Financial Mechanism, Norway; NAWA, Poland; La Caixa Banking Foundation, Spain; CERCA Programme Generalitat de Catalunya, Spain; PROMETEO, Spain; GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society and Leverhulme Trust, United Kingdom; NCN, Poland; Minciencias, Colombia; Herakleitos programme; Thales programme; Aristeia programmeWe acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Minciencias, Colombia; MEYS CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; JINR; MES of Russia and NRC KI, Russian Federation; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; COST, ERC, ERDF, Horizon 2020 and Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (U.K.) and BNL (U.S.A.), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in ref. [130]
Against Home: Neanderthal Ontology, Movement, and Locative Thinking
No full text[No Abstract Available
Evaluation of the Relationship Between Mitral Annular Calcification and Crp/Albumin Ratio
No full textAim: The relationship between mitral annular calcification (MAC) and atherosclerotic diseases is known. The CRP/albumin ratio (CAR) is one of the indicators of inflammation of the atherosclerotic process. We aim to examine the relationship between MAC and CAR values. Material and Method: The study included 197 patients with MAC and a control group of 200 retrospectively between January 2021 and December 2021. We analyzed the relationship between CAR and MAC according to the hospital records, including laboratory findings, echocardiography reports, and patient characteristics. Results: We found higher CAR values in patients with MAC compared to the control group (p0.001). In addition, CAR was predictive for MAC determined by regression analysis (OR: 52.37, 95% CI: 7.37–372.06, p0.001). Conclusion: CRP/albumin ratio values, essential indicators of inflammation, were higher in the patient population with MAC. This finding may reveal that inflammation is also effective in the pathogenesis of MAC
An Efficient Image Retrieval Model With Convolutional Neural Network Based Text/Image Identification for Copyright Violation Detection
No full text30th Signal Processing and Communications Applications Conference, SIU 2022 -- 15 May 2022 through 18 May 2022 -- -- 182415One of the most important problems faced by broadcasters is the unauthorized use of their images by third parties or organizations in a large-scale database, which contains hundreds of thousands of images. For this reason, it is important to perform an efficient and effective image retrieval, whose objective is to find the most similar images to a given test image. In addition, test images often contain text, and the presence of the text together with the visual part complicates the search process. In this paper, we present an image retrieval framework based on a bag of visual words, which has been shown to be effective in the literature. A convolutional neural network model is used to parse the text in the images. Experiments demonstrate the efficacy of this model in a large database. © 2022 IEEE
Search for Long-Lived Charginos Based on a Disappearing-Track Signature Using 136 Fb(-1) of Pp Collisions at Root S=13 Tev With the Atlas Detector
No full textA search for long-lived charginos produced either directly or in the cascade decay of heavy prompt gluino states is presented. The search is based on proton- proton collision data collected at a centre-of-mass energy of root s = 13 TeV between 2015 and 2018 with the ATLAS detector at the LHC, corresponding to an integrated luminosity of 136 fb(-1). Long-lived charginos are characterised by a distinct signature of a short and then disappearing track, and are reconstructed using at least four measurements in the ATLAS pixel detector, with no subsequent measurements in the silicon-microstrip tracking volume nor any associated energy deposits in the calorimeter. The final state is complemented by a large missing transverse-momentum requirement for triggering purposes and at least one high-transversemomentum jet. No excess above the expected backgrounds is observed. Exclusion limits are set at 95% confidence level on the masses of the chargino and gluino for different chargino lifetimes. Chargino masses up to 660 (210) GeV are excluded in scenarios where the chargino is a pure wino (higgsino). For charginos produced during the cascade decay of a heavy gluino, gluinos with masses below 2.1 TeV are excluded for a chargino mass of 300 GeV and a lifetime of 0.2 ns.ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW, Austria; FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq,Brazil; FAPESP, Brazil; NSERC, Canada; NRC, Canada; CFI, Canada; CERN, Chile; ANID, Chile; CAS, China; MOST, China; NSFC, China; Minciencias, Colombia; MSMT CR, Czech Republic; MPOCR, Czech Republic; VSC CR, Czech Republic; DNRF, Denmark; DNSRC, Denmark; IN2P3-CNRS, France; CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, Germany; HGF, Germany; MPG, Germany; GSRI, Greece; RGC, China; HongKong SAR, China; ISF, Israel; Benoziyo Center, Israel; INFN, Italy; MEXT, Japan; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; JINR; MES of Russia; NRC KI; Russian Federation; MESTD, Serbia; MSSR, Slovakia; ARRS, Slovenia; MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC, Sweden; Wallenberg Foundation, Sweden; SERI, Switzerland; SNSF, Switzerland; Cantons of Bern, Switzerland; Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, UK; DOE,USA; NSF, USA; BCKDF, Canada; CANARIE, Canada; CRC, Canada; COST; ERC; ERDF; Horizon 2020 and Marie Sklodowska-Curie Actions; European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex; ANR, France; DFG, Germany; AvH Foundation, Germany; Herakleitos; Thales; Aristeia programmes; EU-ESF, Greece; Greek NSRF, Greece; BSF, Israel; NSF , Israel; GIF, Israel; Norwegian Financial Mechanism, Norway; NCN, Poland; NAWA, Poland; La Caixa Banking Foundation,Spain; CERCA Programme Generalitat de Catalunya; PROMETEO; GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society and Leverhulme Trust, UK; CERN; ATLAS Tier-1 facilities at TRIUMF (Canada); NDGF,Denmark; NDGF, Norway; NDGF, Sweden; CC-IN2P3 (France); KIT/GridKA (Germany); INFN-CNAF (Italy); NL-T1 (Netherlands); PIC (Spain); ASGC (Taiwan); RAL (UK); BNL (USA)We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Minciencias, Colombia; MSMT CR, MPOCR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRI, Greece; RGC and HongKong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; JINR; MES of Russia and NRC KI, Russian Federation; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, UK; DOE andNSF, USA. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; COST, ERC, ERDF, Horizon 2020 and Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF NSF and GIF, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, UK. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [80]
Analysis of the Effect of Delay From Source Node To Sink on Lifetime in Wireless Sensor Networks
No full text30th Signal Processing and Communications Applications Conference, SIU 2022 -- 15 May 2022 through 18 May 2022 -- -- 182415In this paper, the relationship between network lifetime and delay from source node to sink is analyzed for Wireless Sensor Networks. To examine the effect of delay on lifetime, different delay restrictions are applied to the same sensor network. Number of sensor nodes is increased gradually to study networks of different density. When delay restriction is relaxed, increase in lifetime is observed. In this case, the lifetime of dense networks increases more compared to sparse networks. Likewise, for a particular delay restriction limit, increasing the number of nodes results in a lifetime increase. Lifetime Increase Percentages are examined for detailed behavior of different restrictions. © 2022 IEEE
Long-Range Distributed Acoustic Sensor Based on 3x3 Coupler Assisted Passive Demodulation Scheme
No full textCLEO: Applications and Technology, A and T 2022 -- 15 May 2022 through 20 May 2022 -- -- 181726A distributed acoustic sensor based on phase-sensitive optical time domain reflectometry (?-OTDR) and passive 3x3 coupler demodulation is demonstrated which is capable of quantifying strain perturbations at 40 km of a sensing fiber. © Optica Publishing Group 2022, © 2022 The Author(s
