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Design of multiple-output flyback converter with independently controlled outputs for TV power supply
No full textThis paper presents the design of a multiple-output flyback converter (MOFC) for a television power supply system. The proposed converter is capable of independently controlling the output voltage of multiple power rails, allowing for efficient and precise power delivery to various subsystems within the TV. The backlight LEDs' current and system supply voltage is controlled independently and the backlight LEDs are fed from the same flyback transformer directly, so there is no need for a buck or boost converter stage. The system voltage of 12V is regulated by the extra N-MOSFET. By eliminating the need for an additional converter stage and adopting smaller transformer sizes, this design not only reduces card sizes and cost but also leads to significant improvements in peak efficiency and power density. The proposed MOFC is explained in details together with the simulation and measurement results
Dominant-owner CEOs, board of directors and firm performance in emerging economies: Exploring the moderating impact of quad-qualified directors
No full textThere have recently been many calls to explore corporate governance in emerging economies, as these countries have distinctive characteristics such as a weaker institutional environment and the dominating influence of controlling shareholders. The literature has revealed that, in such institutional settings, there is the risk that powerful insiders maximize their own benefits at the expense of minorities and firm performance. This study advances our knowledge of corporate governance in emerging economies by exploring the moderating impact of quad-qualified directors – i.e., directors with independence, expertise, bandwidth, and motivation – on the relationship between dominant-owner CEOs and firm performance. We tested our hypotheses on a large cross-sectional sample of Indian listed firms. Our results show that dominant-owner CEOs undermine company performance, but quad-qualified directors may improve board monitoring and consequently attenuate their negative influence. Our findings support the soundness of the quad-qualified model for boards of directors, and contribute to the growing literature investigating which directors’ attributes may have a significant impact on board monitoring and firm performance
Anti-vaccination in the post-truth era: Who will we trust?
No full textScience denialism, or the decline/loss of trust in scientific knowledge, is related to losing the value of truth as a phenomenon, the post-truth era is a period in which truth is devalued and fluid. This study reveals the relationship between this concept, which permeates a wide range of areas from political discourses to daily life practices, and the pandemic, which is a global crisis. It also seeks to reveal how the pandemic reproduces hegemonic relations. This study addresses the relationship between the posttruth era and anti-vaccination and aims to understand how anti-vaccine individuals view COVID-19 vaccines. The study included in-depth interviews with five vaccine opponents. There were found to be recurring themes in the interview data. One of the core ideas of post-truth, science denialism, was used to investigate these issues. The hierarchy between classes, the prominent theme in the data collected from the opponents of vaccination, was analyzed with a critical perspective
Bir parti büyüklüğü oyununda özgün makine öğrenmesi tekniklerini kullanarak maliyetlerin dağıtılması
No full textIn supply chain management (SCM), effective resource utilization is the key to achieving certain strategic benefits such as minimizing costs, increasing service levels, reducing inventories, increasing responsiveness, and finally improving customer satisfaction. Collaborative approaches among supply chain entities have become increasingly popular to increase resource utilization. In this thesis, we analyze a collaborative production setting where several companies facing varying demands throughout a finite planning horizon attempt to reduce their procurement costs by ordering from a common supplier. As the capacity of the common supplier is better utilized in such a collaborative solution, it will yield benefits that will be shared by the collaborators. Our objective is to design a cost allocation framework to ensure the sustainability of the collaborative purchasing organization. We propose various methods, including novel and computationally efficient machine learning based methods, using two different architectures, gradient boosting mechanism, and artificial neural networks which ensure the scalability of the proposed framework. We perform an extensive computational study and observe that our proposed method significantly outperforms the generic methods in the literature in terms of solution quality and computation time.Tedarik zinciri yönetiminde (TZY), etkin kaynak kullanımı, maliyetlerin en aza indirilmesi, hizmet düzeylerinin artırılması, stokların azaltılması, yanıt verme hızının artırılması ve son olarak müşteri memnuniyetinin artırılması gibi belirli stratejik faydaların elde edilmesinin anahtarıdır. Tedarik zinciri kuruluşları arasındaki işbirlikçi yaklaşımlar, kaynak kullanımını artırmak için giderek daha popüler hale geldi. Yapılan bu tez çalışması ile sınırlı bir planlama ufku boyunca değişen taleplerle karşılaşan birkaç şirketin ortak bir tedarikçiden sipariş vererek tedarik maliyetlerini düşürmeye çalıştığı ortak bir üretim ortamını analiz ediyoruz. Ortak tedarikçinin kapasitesi böyle bir işbirlikçi çözümde daha iyi kullanıldığından, işbirlikçiler tarafından paylaşılacak çeşitli faydalar sağlayacaktır. Amacımız, ortak satın alma organizasyonunun sürdürülebilirliğini sağlamak için bir maliyet dağıtım çerçevesi tasarlamaktır. Önerilen çerçevenin ölçeklenebilirliğini sağlamak için iki farklı algoritma, gradient boosting ve yapay sinir ağları, kullanan yeni ve hesaplama açısından verimli makine öğrenimi tabanlı yöntemler de dahil olmak üzere çeşitli yöntemler öneriyoruz. Bahsedilen yöntemlerle, kapsamlı bir hesaplama çalışması gerçekleştiriyoruz ve önerilen yöntemimizin, çözüm kalitesi ve hesaplama süreleri açısından literatürdeki jenerik yöntemlerden önemli ölçüde daha iyi performans gösterdiğini gözlemliyoruz
Introduction
No full textJust after the local elections in 2019, irregular migrants in Istanbul faced a months-long crackdown. The Ministry of Interior from the Justice and Development Party government (known as AK Party or AKP) gave Syrians until 20 August 2019 to return to the cities in which they were first registered. Although the time period was eventually extended, the internal controls for migrants became stricter. Migrants found themselves frequently stopped by police, and officers visited registration addresses to check if they were occupied. If irregularities were discovered, the official directive was that Syrians should be returned to the cities in which they were first registered. For non-Syrian migrants without registration, the result of police stops was often being confined to pre-detention centres. According to the Head of the Directorate General Management of Migration (DGMM) of the time, Abdullah Ayaz, “Operations in Istanbul target irregular migrants such as Afghans and Pakistanis. Even if Syrians are found without registration at all, they are not deported, unlike the claims in the media. It is not possible to issue deportation decisions legally about Syrians due to the conditions in Syria” (AA 2019)
Entrepreneurial orientation, CEO power and firm performance: An upper echelons theory perspective
No full textPurpose: Adopting insights from the upper echelons theory, this study aims to investigate the relationship between entrepreneurial orientation (EO) and firm performance under the contingent influence of chief executive officer (CEO) power. Design/methodology/approach: Data were collected from a sample of large publicly-traded Indian software firms using the Prowess Database of Center for Monitoring Indian Economy (CMIE). Panel data regression analysis was used to test the study's hypotheses. Findings: The results indicate that EO has an inverted U-shaped relation with firm performance. Strong support is also found for a negative moderating influence of CEO power on the inverted U-shaped relationship between EO and firm financial performance, suggesting that powerful CEOs eventually harm entrepreneurial firms. Practical implications: The study encourages firms to have entrepreneurship orientation, but at a moderate level, to get the maximum benefit of EO. The study also explains to managers to what extent CEO power drives EO. Originality/value: The study contributes to the intersection of corporate entrepreneurship and upper echelons theory. The study shows that CEO power negatively affects the EO and firm's performance relationship. This study holds important insights for managers of entrepreneurial firms, especially in international contexts and emerging markets
Search for Higgs boson and observation of Z boson through their decay into a charm quark-antiquark pair in boosted topologies in proton-proton collisions at √s=13 TeV
No full textA search for the standard model (SM) Higgs boson ( H ) produced with transverse momentum ( p T ) greater than 450 GeV and decaying to a charm quark-antiquark ( c c ¯ ) pair is presented. The search is performed using proton-proton collision data collected at s = 13 TeV by the CMS experiment at the LHC, corresponding to an integrated luminosity of 138 fb - 1 . Boosted H → c c ¯ decay products are reconstructed as a single large-radius jet and identified using a deep neural network charm tagging technique. The method is validated by measuring the Z → c c ¯ decay process, which is observed in association with jets at high p T for the first time with a signal strength of 1.00 - 0.14 + 0.17 ( syst ) ± 0.08 ( theo ) ± 0.06 ( stat ) , defined as the ratio of the observed process rate to the SM expectation. The observed (expected) upper limit on σ ( H ) B ( H → c c ¯ ) is set at 47 (39) times the SM prediction at 95% confidence level.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).Publisher versio
Deep learning-based speaker-adaptive postfiltering with limited adaptation data for embedded text-to-speech synthesis systems
No full textEnd-to-end (e2e) speech synthesis systems have become popular with the recent introduction of text-to-spectrogram conversion systems, such as Tacotron, that use encoder–decoder-based neural architectures. Even though those sequence-to-sequence systems can produce mel-spectrograms from the letters without a text processing frontend, they require substantial amounts of well-manipulated, labeled audio data that have high SNR and minimum amounts of artifacts. These data requirements make it difficult to build end-to-end systems from scratch, especially for low-resource languages. Moreover, most of the e2e systems are not designed for devices with tiny memory and CPU resources. Here, we investigate using a traditional deep neural network (DNN) for acoustic modeling together with a postfilter that improves the speech features produced by the network. The proposed architectures were trained with the relatively noisy, multi-speaker, Wall Street Journal (WSJ) database and tested with unseen speakers. The thin postfilter layer was adapted with minimal data to the target speaker for testing. We investigated several postfilter architectures and compared them with both objective and subjective tests. Fully-connected and transformer-based architectures performed the best in subjective tests. The novel adversarial transformer-based architecture with adaptive discriminator loss performed the best in the objective tests. Moreover, it was faster than the other architectures both in training and inference. Thus, our proposed lightweight transformer-based postfilter architecture significantly improved speech quality and efficiently adapted to new speakers with few shots of data and a hundred training iterations, making it computationally efficient and suitable for scalability
Healthcare inventory management in the presence of supply disruptions and a reliable secondary supplier
No full textWe study the inventory review policy for a healthcare facility to minimize the impact of inevitable drug shortages. Usually, healthcare facilities do not rely on a single source of supply, and alternative mechanisms are present. When the primary supplier is not available, items are produced in-house or supplied through another supplier, albeit with additional cost. Our aim in this study is to determine how optimal inventory parameters are adjusted depending on the availability of the primary supplier. We show that an approximation provides trivial results, yet fails to capture the nuances therein. Our proposed Markov chain model overcomes these issues, and numerical results illustrate the significant economic impact of inventory parameter optimization. Furthermore, we simulate uncertainty scenarios and provide sensitivity analyses concerning fixed ordering cost for the secondary supplier, shortage frequency, shortage duration, and demand rates.TÜBİTA
A search for decays of the Higgs boson to invisible particles in events with a top-antitop quark pair or a vector boson in proton-proton collisions at √s = 13 TeV
No full textA search for decays to invisible particles of Higgs bosons produced in association with a top-antitop quark pair or a vector boson, which both decay to a fully hadronic final state, has been performed using proton-proton collision data collected at s=13TeV by the CMS experiment at the LHC, corresponding to an integrated luminosity of 138 fb-1 . The 95% confidence level upper limit set on the branching fraction of the 125 GeV Higgs boson to invisible particles, B(H → inv) , is 0.54 (0.39 expected), assuming standard model production cross sections. The results of this analysis are combined with previous B(H → inv) searches carried out at s=7 , 8, and 13 TeV in complementary production modes. The combined upper limit at 95% confidence level on B(H → inv) is 0.15 (0.08 expected).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 programme 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 à
la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium);
the Agentschap voor Innovatie door Wetenschap en Technologie (IWTBelgium); 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 - ÚNKP, 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-NKTA64 (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
Fundação para a Ciência 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
Investigación Científica y Técnica de Excelencia María 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