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The moderating role of organizational tenure on the relation between job crafting and job boredom: A study on accountants
The aim of this study is to examine the moderating role of organisational tenure on the relationship between job crafting and job boredom. For this purpose, a sample of 315 professional accountants from 82 independent audit companies listed on the Public Disclosure Platform was used. The data were analysed using hierarchical regression in addition to slope analysis. Analysis results show the neg-ative relationship between job crafting and job boredom is significantly stronger for short organisational tenure. Additionally, strong job crafting is more likely to disengage accountants from job boredom when they have short tenure compared to long tenure
Positioning five-star hotels in city destinations: The case of Istanbul, Turkey
Destinations and hotel businesses take advantage of many benefits of the online world. Extensive qualitative (review texts) and quantitative (review scores and room rates) data sources enable them to assess their positions through the eyes of their customers. The aim of this study is to propose a method focusing on customer reviews and rates in order to help hotel businesses with assessment of their positioning strategies. The dataset included a selection of five-star hotels in Istanbul, a city destination of Turkey. Room rates and the findings from a thematic narrative analysis of TripAdvisor reviews from a cognitive and experiential perspective were combined to create a position map. The findings extend traditional classification systems and reveal three competitive groups of five-star hotels with specific attributes in a city destination. Other findings offer some insight for hotel and destination managers, enabling them to evaluate the performance of positioning strategies of five-star hotels in the market
Search for heavy resonances and quantum black holes in eμ, eτ, and μτ final states in proton-proton collisions at √s = 13 TeV
A search is reported for heavy resonances and quantum black holes decaying into eμ, eτ, and μτ final states in proton-proton collision data recorded by the CMS experiment at the CERN LHC during 2016–2018 at s = 13 TeV, corresponding to an integrated luminosity of 138 fb−1. The eμ, eτ, and μτ invariant mass spectra are reconstructed, and no evidence is found for physics beyond the standard model. Upper limits are set at 95% confidence level on the product of the cross section and branching fraction for lepton flavor violating signals. Three benchmark signals are studied: resonant τ sneutrino production in R parity violating supersymmetric models, heavy Z′ gauge bosons with lepton flavor violating decays, and nonresonant quantum black hole production in models with extra spatial dimensions. Resonant τ sneutrinos are excluded for masses up to 4.2TeV in the eμ channel, 3.7TeV in the eτ channel, and 3.6TeV in the μτ channel. A Z′ boson with lepton flavor violating couplings is excluded up to a mass of 5.0TeV in the eμ channel, up to 4.3Te V in the eτ channel, and up to 4.1TeV in the μτ channel. Quantum black holes in the benchmark model are excluded up to the threshold mass of 5.6TeV in the eμ channel, 5.2TeV in the eτ channel, and 5.0TeV in the μτ channel. In addition, model-independent limits are extracted to allow comparisons with other models for the same final states and similar event selection requirements. The results of these searches provide the most stringent limits available from collider experiments for heavy particles that undergo lepton flavor violating decays. [Figure not available: see fulltext.].BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES and BNSF (Bulgaria); CERN; CAS, MoST, and NSFC (China); MINCIENCIAS (Colombia); MSES and CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); MoER, ERC PUT and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRI (Greece); NKFIH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MES and NSC (Poland); FCT (Portugal); MESTD (Serbia); MCIN/AEI and PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); MHESI and NSTDA (Thailand); TUBITAK and TENMAK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (USA).
Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093, 884104, and COST Action CA16108 (European Union); the Leventis Foundation; the Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy Office; the Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); the F.R.S.-FNRS and FWO (Belgium) under the "Excellence of Science -EOS" -be.h project n. 30820817; the Beijing Municipal Science & Technology Commission, No. Z191100007219010; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Hellenic Foundation for Research and Innovation (HFRI), Project Number 2288 (Greece); the Deutsche Forschungsgemeinschaft (DFG), under Germany's Excellence Strategy -EXC 2121 "Quantum Universe" -390833306, and under project number 400140256 -GRK2497; the Hungarian Academy of Sciences, the New National Excellence Program -UNKP, the NKFIH research grants K 124845, K 124850, K 128713, K 128786, K 129058, K 131991, K 133046, K 138136, K 143460, K 143477, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64 (Hungary); the Council of Science and Industrial Research, India; the Latvian Council of Science; the Ministry of Education and Science, project no. 2022/WK/14, and the National Science Center, contracts Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552 (Poland); the Fundacao para a Ciencia e a Tecnologia, grant CEECIND/01334/2018 (Portugal); the National Priorities Research Program by Qatar National Research Fund; MCIN/AEI/10.13039/501100011033, ERDF "a way of making Europe", and the Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu, grant MDM-2017-0765 and Programa Severo Ochoa del Principado de Asturias (Spain); the Chulalongkorn Academic into Its 2nd Century Project Advancement Project, and the National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, grant B05F650021 (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (USA).Publisher versio
When does boundary-spanner burnout connect participation and customer relationship performance? The role of the firm's network centrality and network density
Managing business-to-business (B2B) relationships can be taxing for many boundary-spanners and lead to burnout. However, despite the widespread prevalence of burnout in the contemporary workplace, B2B marketing research has overlooked the question of what leads to boundary-spanner burnout, along with its relational consequences. This study draws from the job demands-resources model and network theory, connects these two lenses, and explains how boundary-spanner burnout mediates the link between customer participation (CP), supplier participation (SP), and customer relationship performance (CRP), and how focal firms' network centrality and network density moderate the nexus of those linkages. Using dyadic data in which we match pairs of boundary-spanners and managers, we reveal both CP and SP positively relate to boundary-spanner burnout. Nevertheless, we find that firms' network centrality positively moderates the CP–burnout and SP–burnout relationships and firms' network density, while positively moderating the CP–burnout relationship, negatively moderates the SP–burnout relationship. Our key contribution is revealing the pivotal and multifaceted role of network centrality and density in conditioning the mediating role of boundary-spanner burnout in connecting CP, SP, and CRP.Ozyegin Universit
Search for narrow resonances in the b-tagged dijet mass spectrum in proton-proton collisions at √s = 13 TeV
A search is performed for narrow resonances decaying to final states of two jets, with at least one jet originating from a b quark, in proton-proton collisions at s = 13 TeV . The data set corresponds to an integrated luminosity of 138 fb - 1 collected with the CMS detector at the LHC. Jets originating from energetic b hadrons are identified through a b -tagging algorithm that utilizes a deep neural network or the presence of a muon inside a jet. The invariant mass spectrum of jet pairs is well described by a smooth parametrization and no evidence for the production of new particles is observed. Upper limits on the production cross section are set for excited b quarks and other resonances decaying to dijet final states containing b quarks. These limits exclude at 95% confidence level models of Z ′ bosons with masses from 1.8 TeV to 2.4 TeV and of excited b quarks with masses from 1.8 TeV to 4.0 TeV. This is the most stringent exclusion of excited b quarks to date.BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES and BNSF (Bulgaria); CERN; CAS, MoST, and NSFC (China); MINCIENCIAS (Colombia); MSES and CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); MoER, ERC PUT and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRI (Greece); NKFIH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MES and NSC (Poland); FCT (Portugal); MESTD (Serbia); MCIN/AEI and PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); MHESI and NSTDA (Thailand); TUBITAK and TENMAK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (USA). Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, Contract No. 675440, No. 724704, No. 752730, No. 758316, No. 765710, No. 824093, and No. 884104, and COST Action CA16108 (European Union); the Leventis Foundation; the Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy Office; the Fonds pour la Formation `a la Recherche dans l'Industrie et dans l'Agriculture (FRIABelgium); the Agentschap voor Innovatie doorWetenschap en Technologie (IWT-Belgium); the F. R. S.-FNRS and FWO (Belgium) under the "Excellence of ScienceEOS"-be.h Project No. 30820817; the Beijing Municipal Science and Technology Commission, No. Z191100007219010; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Hellenic Foundation for Research and Innovation (HFRI), Project No. 2288 (Greece); the Deutsche Forschungsgemeinschaft (DFG), under Germany's Excellence Strategy-EXC 2121 "Quantum Universe"390833306, and under Project No. 400140256GRK2497; the Hungarian Academy of Sciences, the New National Excellence Program-UNKP, the NKFIH research Grants No. K 124845, No. K 124850, No. K 128713, No. K 128786, No. K 129058, No. K 131991, No. K 133046, No. K 138136, No. K 143460, No. K 143477, No. 2020-2.2.1-ED-2021-00181, and No. TKP2021-NKTA-64 (Hungary); the Council of Science and Industrial Research, India; the Latvian Council of Science; the Ministry of Education and Science, Project No. 2022/WK/14, and the National Science Center, Contracts Opus No. 2021/41/B/ST2/ 01369 and No. 2021/43/B/ST2/01552 (Poland); the Fundacao para a Ciencia e a Tecnologia, Grant No. CEECIND/01334/2018 (Portugal); the National Priorities Research Program by Qatar National Research Fund; MCIN/AEI/10.13039/501100011033, ERDF "a way of making Europe", and the Programa Estatal de Fomento de la Investigacion Cientifica y T ' ecnica de ExcelenciaMaria de Maeztu, Grant No.
r MDM-2017-0765 and Programa Severo Ochoa del Principado de Asturias (Spain); the Chulalongkorn Academic into its second Century Project Advancement Project, and the National Science, Research and Innovation Fund via the Program Management Unit for Human Resources and Institutional Development, Research and Innovation, Grant No. B05F650021 (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, Contract C-1845; and the Weston Havens Foundation (USA).Publisher versio
Exploring scaling efficiency of intel loihi neuromorphic processor
In this paper, we focus on examining how scaling efficiency evolves in winner-take-all (WTA) network models on Intel Loihi neuromorphic processor, as network-related features such as network size, neuron type, and connectivity scheme change. By analyzing these relationships, our study aims to shed light on the intricate interplay between SNN features and the efficiency of neuromorphic systems as they scale up. The findings presented in this paper are expected to enhance the comprehension of scaling efficiency in neuromorphic hardware, providing valuable insights for researchers and developers in optimizing the performance of large-scale SNNs on neuromorphic architectures.Intel’s Neuromorphic Research Communit
Buzdolabı komponentlerinin iletim yollu elektromanyetik girişime olan etkilerinin deneysel analizi
As the number of electronic devices in our daily lives increases day by day, the risk of electromagnetic interference (EMI) between the devices and between the device and the grid increases. Refrigerators are the only devices found in almost every home and work non-stop. Besides refrigerators have many electrical and electronic components that may contribute to EMI. For this reason, refrigerators have importance in terms of electromagnetic interference. In this study, it is aimed to analyze the impacts of the changes in the cable distribution of a refrigerator and the addition of the ferrite filters on the conducted electromagnetic emission test, which is carried out in accordance with the IEC 55014-1 standard and covers frequencies between 150kHz-30 MHz. For this research, three identical refrigerators were prepared. In the first one, AC and DC cables are fully aligned and entangled, in the second one, AC and DC cables are fully separated and in the third one, AC and DC cables are fully entangled on the refrigerator body but separated inside the control board box. The refrigerator with fully entangled AC and DC cables was chosen as the reference product and conducted electromagnetic emission tests were carried out for phase lines and neutral lines to examine the impact of cable distributions on electromagnetic interference. In addition, ferrite core and amorphous core were added to the AC and DC cable groups in the control board box for filtering the electromagnetic noise, and their impacts on the test results were examined when compared with the reference product which has no filtering. While it was seen that completely separating AC and DC cables improved the test results at almost every frequency, the product with AC and DC cables fully entangled on the refrigerator body but separated inside the control board box failed the test. Whether the filter used is ferrite or amorphous, the location of the filter is AC or DC cables, the results are better than the product without a ferrite filter.Günlük hayatımızda kullandığımız elektronik cihaz sayısı her geçen gün arttıkça cihazlar arasındaki ve cihazlar ile şebeke arasındaki elektromanyetik girişim (EMI) riski de artmaktadır. Buzdolapları hemen hemen her evde bulunan ve hiç durmadan çalışan cihazlardır. Ayrıca buzdolapları elektromanyetik girişime sebep olabilecek çok sayıda elektrikli ve elektronik bileşene sahiptir. Bu nedenle buzdolapları elektromanyetik girişim açısından önem arz etmektedir. Bu çalışmada bir buzdolabının kablo düzenindeki değişimin ve buzdolabına eklenen filtrelerin IEC 55014-1 standardına uygun şekilde yapılan ve 150kHz-30 MHz arasındaki frekansları kapsayan iletim yollu elektromanyetik emisyon testi üzerine etkilerinin incelenmesi amaçlanmıştır. Bu araştırma için AC ve DC kabloları tamamen karışık düzende, AC ve DC kabloları tamamen ayrı düzende ve AC ve DC kabloları buzdolabı gövdesi üzerinde karışık fakat kontrol kartı kutusu içerisinde ayrı düzende olacak şekilde üç adet aynı model buzdolabı hazırlanmıştır. AC ve DC kabloları tamamen karışık yapıda olan ürün referans seçilerek kablo dağılımlarının elektromanyetik girişim üzerindeki etkisini incelemek üzere faz hatları ve nötr hatları için iletim yollu elektromanyetik emisyon testleri yapılmıştır. Ayrıca kontrol kartı kutusu içerisinde bulunan AC ve DC kablo gruplarına filtreleme amaçlı ferrit çekirdek ve amorf çekirdek eklenerek filtresiz referans ürüne göre test sonuçları üzerindeki etkileri incelenmiştir. AC ve DC kabloları tamamen ayırmanın test sonuçlarını hemen hemen her frekansta iyileştirdiği görülürken AC ve DC kabloların gövde üzerinde karışık kontrol kartı kutusu içerisinde ayrı olduğu ürün testten kalmıştır. Ferrit filtre veya amorf filtre kullanımı, AC veya DC konumlandırılmaları fark etmeksizin filtre kullanılmayan referans ürüne göre sonuçları iyileştirmiştir
Özdikkat bazlı tahminciler ile çoklu-nesne sembolleri öǧrenimi
This paper proposes an architecture that can learn symbolic representations from the continuous sensorimotor experience of a robot interacting with a varying number of objects. Unlike previous works, this work aims to remove constraints on the learned symbols such as a fixed number of interacted objects or pre-defined symbolic structures. The proposed architecture can learn symbols for single objects and relations between them in a unified manner. The architecture is an encoder-decoder network with a binary activation layer followed by self-attention layers. Experiments are conducted in a robotic manipulation setup with a varying number of objects. Results showed that the robot successfully encodes the interaction dynamics between a varying number of objects using the discovered symbols. We also showed that the discovered symbols can be used for planning to reach symbolic goal states by training a higher-level neural network
Humanitarian relief distribution problem: an adjustable robust optimization approach
Management of humanitarian logistics operations is one of the most critical planning problems to be addressed immediately after a disaster. The response phase covers the first 12 hours after the disaster and is prone to uncertainties because of debris and gridlock traffic influencing the dispatching operations of relief logistics teams in the areas affected. Moreover, the teams have limited time and resources, and they must provide equitable distribution of supplies to affected people. This paper proposes an adjustable robust optimization approach for the associated humanitarian logistics problem. The approach creates routes for relief logistics teams and decides the service times of the visited sites to distribute relief supplies by taking the uncertainty in travel times into account. The associated model allows relief logistics teams to adjust their service decisions according to the revealed information during the process. Hence, our solutions are robust for the worst-case realization of travel times, but still more flexible and less conservative than those of static robust optimization. We propose novel reformulation techniques to model these adjustable decisions. The resulting models are computationally challenging optimization problems to be solved by exact methods, and, hence, we propose heuristic algorithms. The state-of-the-art heuristic, which is based on clustering and a dedicated decision-rule algorithm, yields near-optimal results for medium-sized instances and is scalable even for large-sized instances. We have also shown the effectiveness of our approach in a case study using a data set obtained from an earthquake that hit the Van province of Turkey in 2011
Search for light Higgs bosons from supersymmetric cascade decays in pp collisions at √s=13TeV
A search is reported for pairs of light Higgs bosons (H 1) produced in supersymmetric cascade decays in final states with small missing transverse momentum. A data set of LHC pp collisions collected with the CMS detector at s=13TeV and corresponding to an integrated luminosity of 138 fb-1 is used. The search targets events where both H 1 bosons decay into [InlineEquation not available: see fulltext.] pairs that are reconstructed as large-radius jets using substructure techniques. No evidence is found for an excess of events beyond the background expectations of the standard model (SM). Results from the search are interpreted in the next-to-minimal supersymmetric extension of the SM, where a “singlino” of small mass leads to squark and gluino cascade decays that can predominantly end in a highly Lorentz-boosted singlet-like H 1 and a singlino-like neutralino of small transverse momentum. Upper limits are set on the product of the squark or gluino pair production cross section and the square of the [InlineEquation not available: see fulltext.] branching fraction of the H 1 in a benchmark model containing almost mass-degenerate gluinos and light-flavour squarks. Under the assumption of an SM-like [InlineEquation not available: see fulltext.] branching fraction, H 1 bosons with masses in the range 40–120 GeV arising from the decays of squarks or gluinos with a mass of 1200–2500 GeV are excluded at 95% confidence level.Publisher versio