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Comparison of Machine Learning Methods and Time Series Algorithms: BIST Dividend 25
No full textBu tez çalışması, Borsa İstanbul (BİST) Temettü 25 Endeksi'nde bulunan şirketlerin hisse başına net temettü fiyatlarını tahmin etmek için makine öğrenimi yöntemleri ile zaman serisi algoritmalarının performansını karşılaştırmayı amaçlamaktadır. Bu çalışma, finansal teknolojilerin hızla ilerlediği bir dönemde yatırımcılara temettü odaklı yatırım stratejileri konusunda rehberlik etmeyi ve hangi tahmin modellerinin daha etkili sonuçlar doğurduğunu belirlemeyi hedeflemektedir. Bu bağlamda, Naif Yöntem, Basit Ortalama, Basit Hareketli Ortalama ve SARIMA gibi zaman serisi modellerinin yanı sıra Lojistik Regresyon, SVM, Naive Bayes, K-NN, Karar Ağaçları, LDA, AdaBoost, Gradient Boosting, Bagging, Random Forest ve MLP gibi makine öğrenmesi algoritmaları tercih edilmiştir. Araştırma, 2011 ile 2024 yılları arasında BİST Temettü 25 Endeksi'nde bulunan 25 şirketin hisse senedi fiyatlarını kapsayan 13 yıla ait bir veri seti üzerinde yapılmıştır. Tahmin modellerinin başarısı, RMSE (Hata Karelerinin Ortalamasının Karekökü) ve doğruluk (accuracy) gibi ölçütler aracılığıyla analiz edilmiştir. Sonuçlar, zaman serisi analizinde SARIMA modelinin ve makine öğrenimi yöntemleri arasında ise LDA, Random Forest ile Naive Bayes'in en düşük hata oranlarına sahip olduğunu ortaya koymuştur. Bu modeller, tahmin başarılarıyla dikkat çekmektedir. Ayrıca, genel olarak, makine öğrenimi modellerinin elde ettiği doğruluk değerlerinin zaman serisi modellerine kıyasla daha yüksek olduğu gözlemlenmiştir. Bu çalışma, temettü odaklı yatırımcılar ve yazılım şirketleri için ölçülebilir içgörüler sunan etkili tahmin modelleri sağlayarak hibrid modelleme ve sektörel analizler ile literatüre katkıda bulunmaktadır.The thesis objective of this study is to evaluate how machine learning approaches and time-series based algorithms in estimating the net dividend per share of companies for Borsa Istanbul (BIST) Dividend 25 Index. The purpose of the study is to aid investors employing a dividend investment policy in devising the most effective forecasting models during this era of advancing financial technologies. In this research scope, time series models including Naïve Method, Simple Average, Simple Moving Average, and SARIMA were implemented alongside machine learning algorithms of varying complexity such as Logistic Regression, SVM, Naïve Bayes, K-NN, Decision Trees, LDA, AdaBoost, Gradient Boosting, Bagging, MLP, and Random Forest. The analysis in this study was centered on the stock price data of 25 companies which constitute the BIST Dividend 25 Index covering the years 2011 to 2024, for a total of thirteen years. The study evaluated the performance of the different forecasting models using RMSE (root mean square error) and several other accuracy measures. The study found that among the time series approaches, SARIMA was the most accurate while among the machine learning approaches LDA, Random Forest and the Naïve Bayes models had the minimum error rates. Furthermore, the results indicated that machine learning models did outperform time series models in regards to the accuracy values but not significantly. This study pops up new in the literature by providing useful prediction modeling for investment-driven dividends for stock investors and software firms, alongside hybrid model suggestions and analyses based on sectors
The Effects of the Number of Blades/Vanes on the Performance of a Two-Stage Centrifugal Compressor: The CFD Analysis
No full textImproving the performance of heavy-duty compressors used in various industries leads to increased efficiency and reliability. Natural gas transmission pipelines are one of the sectors whose performance depends on the stable operation of pressure-boosting stations and their compressors. This paper studies one of the industry's most widely used two-stage centrifugal compressors. Using computational fluid dynamics (CFD) simulations, the effects of changes in various parts have been investigated. The inlet channel, the diffuser between the two stages, and the impellers were studied as the main parts related to the working fluid. The compressor was simulated under different operating conditions and geometries. The results showed that the initial design was based on operation in a specific condition. Compressors perform better at lower flow rates and have significant potential for improving efficiency as flow rates increase. The polytropic efficiency of the primary compressor is 77.04 %. Increasing the number of IGVs to 22 has increased efficiency to 81.43 % (an 8.8 % increase). Modifying the compressor geometry by changing the number of DVs has a limited effect on improving its performance. Increasing the number of DVs to 23 has reduced efficiency by 0.7 %, and reducing their number to 19 has increased efficiency by 1.1 %. By reducing the number of IBs to 15 in the first and second stages, efficiency increased by 2.56 % (from 77.07 % to 79.04 %). The largest negative and positive effects were due to changes in the number of impeller blades (- 3.36 %) and inlet guide vanes (+69.5 %), respectively. Since the flow rate of the line was low in most seasons of the year at the time of the initial design and has now increased, the results of this study can have a great impact on reducing power consumption and losses.Deanship of Scientific Research at King Khalid University [RGP2-476-45]The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through Large Groups [grant number RGP2-476-45] .Science Citation Index Expande
The Relationship Between Partner Focused Obsessive-Compulsive Symptoms and Emotional Abuse: The Mediating Role of Difficulties in Emotion Regulation
No full textPartner odaklı obsesif-kompulsif belirtiler, obsesif-kompulsif bozukluk semptomlarının partnere yönelik düşünceler ekseninde şekillenmesiyle ortaya çıkan ve literatüre yakın zamanda kazandırılan bir kavramdır. Alan yazın incelemelerine göre, obsesif-kompulsif belirtilerin farklı semptom içeriklerinde olduğu gibi, partner odaklı biçimlerinde de romantik ilişki sağlığını ve partnerle kurulan iletişimi olumsuz etkileyebileceği görülmektedir. Bu etkinin romantik ilişki ve iletişim bağlamında çeşitli kavramlarla ele alındığı bilinmekle birlikte, günümüzde yaygın bir sorun olan şiddet bağlamında yeterince incelenmediği dikkati çekmektedir. Bu çalışmada, partner odaklı obsesif-kompulsif belirtilerin çok boyutlu ele alınan duygusal şiddet ile ilişkisi -hem maruz kalma hem de uygulama boyutlarıyla- incelenmiştir. Ayrıca duygu düzenleme güçlüğünün bu ilişkideki aracılık rolü istatistiksel yöntemlerle değerlendirilmiştir. Araştırma, İstanbul'da yaşayan ve en az bir yıldır romantik ilişki sürdüren 385 yetişkinden oluşan bir örneklem ile yürütülmüş; katılımcılar, Sosyodemografik Bilgi Formu, Partnere İlişkin Obsesif-Kompulsif Belirti Ölçeği, Çok Boyutlu Duygusal İstismar Ölçeği ve Duygu Düzenlemede Güçlük Ölçeği'ni çevrim içi ortamda doldurmuştur. Elde edilen verilere göre mevcut çalışma bulguları, partner odaklı obsesif-kompulsif belirtilerin, duygusal şiddetin her iki boyutuyla da pozitif yönde anlamlı bir ilişki içerisinde olduğunu ve duygusal şiddeti yordadığını göstermektedir. Ayrıca, duygu düzenleme güçlüğünün bu ilişkiye aracılık ettiği sonucuna ulaşılmıştır. Ortaya koyulan sonuçların alan yazına katkısına ek olarak, klinik uygulamalara da ışık tutabileceği düşünülmüş ve araştırmanın klinik doğurguları çerçevesinde ele alınmıştır. Son olarak, çalışmanın sınırlı yanları ele alınmış olup, yapılacak sonraki araştırmalar için önerilerle sonlandırılmıştır.Partner focused obsessive-compulsive symptoms are a recently conceptualized phenomenon emerging from the extension of obsessive-compulsive disorder (OCD) symptoms toward partner-related thoughts. According to the literature, as with other symptom contents of OCD, these partner focused manifestations may negatively affect romantic relationship quality and communication between partners. While this impact has been examined in relation to various relational and communicative constructs, it appears that its association with violence, particularly emotional abuse—a prevalent issue today—has not been sufficiently investigated. This study examined the relationship between partner focused obsessive-compulsive symptoms and multidimensional emotional abuse, including both perpetration and victimization aspects. Furthermore, the mediating role of difficulties in emotion regulation in this relationship was statistically analyzed. The research was conducted with a sample of 385 adults residing in Istanbul who have been involved in a romantic relationship for at least one year. Participants completed the Sociodemographic Information Form, Partner-Related Obsessive-Compulsive Symptoms Inventory, Multidimensional Measure of Emotional Abuse, and the Difficulties in Emotion Regulation Scale via an online platform. The findings revealed that partner focused obsessive-compulsive symptoms are positively and significantly associated with both dimensions of emotional abuse and predict emotional abuse. Additionally, the mediating role of difficulties in emotion regulation in this relationship was confirmed. In addition to contributing to the existing literature, the findings are expected to offer clinical implications. The study is discussed within the scope of its clinical relevance, followed by a consideration of its limitations and suggestions for future research
An Extendable High Step-Up Interleaved DC-DC Converter Utilizing a Switched Capacitor Cell
No full textA DC-DC interleaved converter with a coupled inductor is proposed in this study. This converter is capable of generating high voltage through the use of switched capacitors and additional components. It is designed to serve as an interface device in renewable energy applications. The proposed interleaved design features minimal ripple in the input current, enhancing the longevity of solar panels. This configuration can function as a single or dual-input design for boosting input power. In addition to the mentioned benefits, the proposed converter also reduces voltage stress on the components. This decrease in voltage stress results in smaller component sizes and lower conductive losses in the MOSFETs. The theoretical examination of the proposed structure includes steady-state analysis and evaluation of voltage stress on components, as well as the design of the converter. An in-depth comparison is conducted to highlight the strengths and weaknesses of the proposed structure. Following the calculations and theoretical analysis, a laboratory prototype with a 400 W power capacity is implemented to test the performance of the proposed structure.Science Citation Index Expande
Tek Renk Üniversal Kompozit Rezinler ile Son 5 Yılda Yapılan Araştırmaların Yayın Eğilimleri: Bibliyometrik Analiz Çalışması
No full textAmaç: Bibliyometrik analizler nicel ölçümler kullanarak bi- limsel literatürü ayrıntılı olarak değerlendirmeyi sağlamaktadır. Basıl- mış makaleler, dergiler, yazarlar, atıflar gibi başlıkların incelenmesinin yanında makalelerin yıllara göre dağılımı, ülkelerin bilimsel etkinli ği gibi verileri ortaya koyan önemli bir analiz tipidir. Bu çalışmanın amacı, restoratif diş hekimliği alanında son 5 yılda yayınlanmış tek renk üni- versal kompozit rezinlerle yap ılan araştırmaların yayın eğilimlerinin bibliyometrik analizini sunmaktır. Gereç ve Yöntemler: Web of Sci- ence çevrimiçi veri tabanı kullanılarak 2020 ile 2024 tarihleri arasında restoratif alanında tek renk üniversal kompozit rezinlerle ilgili yay ın- lanan çalışmaları kapsayan bir literatür taramas ı yapıldı. Ayrıntılı ta- rama sonrası seçilen her makale için ba şlık, dergi adı, ilk yazar, ülke, yıl, atıf, anahtar kelimeler gibi parametreler kaydedildi. Ayrıca maka- lelerde kullanılan testlerin y ıllara göre de ğişimini analiz etmek ama- cıyla kapsamlı bir eğilim analizi ve görselleştirme gerçekleştirilmiştir. Bulgular: Anahtar kelimeler ile tarama yapıldıktan sonra dâhil edilme kriterleri uygulanarak duplikasyonlar çıkarıldı ve toplam 50 makale ça- lışmaya dâhil edildi. Bu makaleler içinde en çok at ıf alan makalenin 2021 yılında yayınlanan ve 65 atıf alan bir orijinal araştırma makalesi olduğu gözlendi. En fazla makalenin yayınlandığı yılın ise 2024 olduğu tespit edildi. Dâhil olan ülkelerden en fazla katkıyı Türkiye’nin yaptığı görüldü. Yıllara göre makalelerde kullanılan test sayısında belirgin bir artış gözlemlenmiş olup, en sık tercih edilen test renk analizidir.Sonuç: Bu bibliyometrik analizde tek renk üniversal kompozit rezinler hak- kında son 5 y ılda yapılan çalışmalar incelenerek konunun gelişim sü- reci ve yay ınlanma eğilimleri hakkında araştırmacılara yol gösterici verilere ulaşılmıştır
Multiplicity Dependence of Charm Baryon and Charm Meson Production in Ppb Collisions at √sNN=8.16 TeV
No full textPasztor, Gabriella/0000-0003-0707-9762; Tishelman-Charny, Abraham/0000-0002-7332-5098; Navarro-Tobar, Alvaro/0000-0003-3606-1780; Mitselmakher, Guenakh/0000-0001-5745-3658; Usai, Emanuele/0000-0001-9323-2107; Karneyeu, Anton/0000-0001-9983-1004; Tapper, Alexander/0000-0003-4543-864X; Chatterjee, Suman/0000-0003-2660-0349; Garcia, Francisco/0000-0002-4023-7964; Moureaux, Louis/0000-0002-2310-9266; Grandi, Claudio/0000-0001-5998-3070; Kontaxakis, Pantelis/0000-0002-4860-5979; Perez Adan, Danyer/0000-0003-3416-0726; Barroso Ferreira, Mapse/0000-0003-3904-0571; Zhang, Yousen/0000-0002-6812-761X; Csanad, Mate/0000-0002-3154-6925; Grosso, Gaia/0000-0002-8303-3291; D'Anzi, Brunella/0000-0002-9361-3142; Sahasransu, Abanti Ranadhir/0000-0003-1505-1743; Mitra, Soureek/0000-0002-3060-2278; Giacomelli, Paolo/0000-0002-6368-7220; Yazgan, Efe/0000-0001-5732-7950; Kyberd, Paul/0000-0002-7353-7090; Smith, Nicholas/0000-0002-0324-3054; Kondratyev, Dmitry/0000-0002-7874-2480; Wilson, Graham/0000-0003-0917-4763; Vannerom, David/0000-0002-2747-5095; Tytgat, Michael/0000-0002-3990-2074; Forthomme, Laurent/0000-0002-3302-336X;Measurements of the production yields of charm baryons (Lambda(+)(c)) and charm mesons (D-0) in proton-lead collisions at a nucleon-nucleon center-of-mass energy of 8.16 TeV are presented. The data were collected in 2016 with the CMS experiment and correspond to an integrated luminosity of 186 nb(-1). The Lambda(+)(c) baryon is reconstructed from the decay channel Lambda(+)(c) -> K(S)(0)p, while the D-0 meson is reconstructed via D-0 -> K- pi(+). The Lambda(+)(c) baryon and D-0 meson yields are extracted in several charged-particle multiplicity classes. No strong multiplicity dependence of the Lambda(+)(c) -to-D-0 yield ratio is observed, unlike the observed strange baryon to strange meson yield ratio of Lambda/(Lambda) over bar to K-S(0), which shows a strong multiplicity dependence. This observation indicates different mechanisms for the multiplicity evolution of hadronization processes for charm and strange quarks and provides new constraints to the understanding of heavy flavor production and collectivity in small collision systems.FWF; FNRS; FWO (Belgium); CNPq; CAPES; FAPERJ; FAPERGS; FAPESP (Brazil); BNSF (Bulgaria); MOST; NSFC (China); CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); ERC PRG [MoER TK202]; Academy of Finland; MEC; CEA; CNRS/IN2P3 (France); SRNSF; BMBF; DFG; HGF (Germany); NKFIH (Hungary); DAE; DST; IPM; SFI (Ireland); INFN (Italy); NRF (Republic of Korea); MES (Latvia); MOE; UM (Malaysia); BUAP; UASLP-FAI (Mexico); PAEC (Pakistan); FCT (Portugal); MESTD (Serbia); PCTI (Spain); Swiss Funding Agencies (Switzerland); NSTDA; TUBITAK; DOE; NSF (USA); Marie-Curie program; European Research Council; Horizon 2020 Grant [675440, 724704, 752730, 758316, 765710, 824093, 101115353, 101002207]; COST Action [CA16108]; Leventis Foundation; Alfred P. Sloan Foundation; Alexander von Humboldt Foundation; Science Committee [22rl-037]; Belgian Federal Science Policy Office; Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); FWO (Belgium) under the "Excellence of Science - EOS [30820817]; Beijing Municipal Science & Technology Commission [Z191100007219010]; Fundamental Research Funds for the Central Universities (China); Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; Shota Rustaveli National Science Foundation [FR-22-985]; Deutsche Forschungsgemeinschaft (DFG) [EXC 2121, 390833306, 400140256 - GRK2497]; Hellenic Foundation for Research and Innovation (HFRI) [2288]; Hungarian Academy of Sciences [K 131991, K 133046, K 138136, K 143460, K 143477, K 146913, K 146914, K 147048, 2020-2.2.1-ED-2021-00181, TKP2021-NKTA-64]; Council of Science and Industrial Research, India; ICSC - National Research Center for High Performance Computing, Big Data and Quantum Computing - NextGenerationEU program (Italy); Latvian Council of Science; Ministry of Education and Science [2022/WK/14]; National Science Center [Opus 2021/41/B/ST2/01369, 2021/43/B/ST2/01552]; Fundacao para a Ciencia e a Tecnologia [CEECIND/01334/2018]; National Priorities Research Program by Qatar National Research Fund; ERDF "a way of making Europe" [MDM-2017-0765]; Programa Severo Ochoa del Principado de Asturias (Spain); National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation [B39G670016]; Kavli Foundation; Nvidia Corporation; Welch Foundation [C-1845]; Weston Havens Foundation (USA)We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centers and personnel of the Worldwide LHC Computing Grid and other centers for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC, the CMS detector, and the supporting computing infrastructure provided by the following funding agencies: SC (Armenia), 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); ERC PRG, RVTT3 and MoER TK202 (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); SRNSF (Georgia); 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); LMTLT (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, Conahcyt, 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, 101115353, 101002207, and COST Action CA16108 (European Union); the Leventis Foundation; The Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the Science Committee, project no. 22rl-037 (Armenia); the Belgian Federal Science Policy Office; the Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-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 and Fundamental Research Funds for the Central Universities (China); The Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Shota Rustaveli National Science Foundation, grant FR-22-985 (Georgia); the Deutsche Forschungsgemeinschaft (DFG), among others, under Germany's Excellence Strategy - EXC 2121 "Quantum Universe" - 390833306, and under project number 400140256 - GRK2497; the Hellenic Foundation for Research and Innovation (HFRI), Project Number 2288 (Greece); the Hungarian Academy of Sciences, the New National Excellence Program - UNKP, the NKFIH research grants K 131991, K 133046, K 138136, K 143460, K 143477, K 146913, K 146914, K 147048, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64 (Hungary); the Council of Science and Industrial Research, India; ICSC - National Research Center for High Performance Computing, Big Data and Quantum Computing and FAIR - Future Artificial Intelligence Research, funded by the NextGenerationEU program (Italy); 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 B39G670016 (Thailand); the Kavli Foundation; the Nvidia Corporation; the Super-Micro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (USA).Science Citation Index Expande
Abnormal Right Ventricular To Pulmonary Artery Coupling in Patients With End-Stage Kidney Disease and Normalization After Renal Transplantation: An Observational Study
No full textAbstract – Introduction: Pulmonary hypertension and right ventricular (RV) dysfunction are associated with an increase in mortality and worse prognosis in patients with end-stage kidney disease (ESKD), but pathophysiologic mechanisms underlying the progression of RV dysfunction remain incompletely understood. The present study aimed to understand right ventricular to pulmonary artery (RV-PA) coupling, which is an early indicator of transition to RV dysfunction, to better characterize adaptive RV response to increased afterload in ESKD patients and changes in RV-PA coupling following renal transplantation. Methods: One hundred eleven patients with ESKD, including 49 patients scheduled for renal transplantation, underwent a detailed echocardiographic examination and measurement of tricuspid annular plane excursion to pulmonary artery systolic pressure (TAPSE/PASP) ratio, and a repeat examination was performed 6 months after the baseline examination. Results: Patients with ESKD had significantly lower TAPSE/PASP ratio at baseline (1.02 [0.71–1.63] vs. 1.29 [1.09–1.96], p < 0.001). In 40 patients that underwent transplantation, TAPSE/PASP ratio increased significantly from (0.97 [0.72–1.42] to 1.30 [1.01–1.82], p = 0.03), while in 27 patients remained on dialysis, there was a nonsignificant reduction in TAPSE/PASP ratio (1.21 [0.71–1.62] vs. 0.84 [0.61–1.38], p = 0.44). The change in TAPSE/PASP ratio correlated significantly with the change in pulmonary vascular resistance (OR: 0.61, 95% CI: 0.51–0.72, p < 0.001) and left ventricular mass index (OR: 0.97, 95% CI: 0.96–0.99, p = 0.001) after adjustment. Conclusions: Patients with ESKD had abnormal RV-PA coupling, as indicated by a reduced TAPSE/PASP ratio, which normalizes 6 months after renal transplantation. © 2025 S. Karger AG, Base
Advancement in Calcium Looping for Carbon Capture: A Content and Bibliometric Review of 20 Years of Research
No full textCarbon dioxide (CO2) emissions pose global challenges, necessitating carbon neutrality in future development. CO2 capture and energy storage technologies are crucial steps, with calcium looping (CaL) holding significant potential for both. This technology is crucial for achieving carbon neutrality in future strategies. This paper thoroughly reviews the use of CaL in CO2 capture and storage over the past two decades. It provides an overview of CaL's application, reviews research progress in CaL-integrated systems, discusses existing limitations, and highlights possibilities for future growth. According to the study, from 2003 to 2023, 692 documents were published on CaL. The annual growth rate of 18.92% indicates rapidly expanding research efforts and increasing recognition of CaL potential. Based on the findings, the field of CaL has evolved from understanding historical carbon cycles to incorporating advanced combustion techniques and renewable resources. Key concepts like "process simulation," "modeling," and "life cycle assessment (LCA)" have become more prominent in relation to the subject matter. The study indicates that CaL has significant potential for carbon capture (CC) and storage. However, future research should focus on sorbent development, process optimization, characterization, economic evaluations, and large-scale applications to improve efficiency.Science Citation Index Expande
Search for CP Violation in Events with Top Quarks and Z Bosons at √s=13 and 13.6 TeV
No full textA search for the violation of the charge-parity (CP) symmetry in the production of top quarks in association with Z bosons is presented, using events with at least three charged leptons and additional jets. The search is performed in a sample of proton-proton collision data collected by the CMS experiment at the CERN LHC in 2016-2018 at a center-of-mass energy of 13 TeV and in 2022 at 13.6 TeV, corresponding to a total integrated luminosity of 173 fb(-1). For the first time in this final state, observables that are odd under the CP transformation are employed. Also for the first time, physics-informed machine-learning techniques are used to construct these observables. While for standard model (SM) processes the distributions of these observables are predicted to be symmetric around zero, CP-violating modifications of the SM would introduce asymmetries. Two CP-odd operators O-Wt(I) and O-tZ(I) in the SM effective field theory are considered that may modify the interactions between top quarks and electroweak bosons. The obtained results are consistent with the SM prediction within two standard deviations, and exclusion limits on the associated Wilson coefficients of -2.7 < c(tW)(I) < 2.5 and -0.2 < c(tZ)(I) < 2.0 are set at 95% confidence level. The largest discrepancy is observed in CtZI where data is consistent with positive values, with an observed local significance with respect to the SM hypothesis of 2.5 standard deviations, when only linear terms are considered.FWF; FNRS; FWO (Belgium); CNPq; CAPES; FAPERJ; FAPERGS; FAPESP (Brazil); BNSF (Bulgaria); MoST; NSFC (China); CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); ERC PRG [MoER TK202]; Academy of Finland; MEC; CEA; CNRS/IN2P3 (France); SRNSF; BMBF; DFG; HGF (Germany); NKFIH (Hungary); DAE; DST; IPM; SFI (Ireland); INFN (Italy); NRF (Republic of Korea); MES (Latvia); MOE; UM (Malaysia); BUAP; CONACYT; UASLP-FAI (Mexico); PAEC (Pakistan); FCT (Portugal); MESTD (Serbia); PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); NSTDA; TUBITAK; DOE; NSF (USA); Marie-Curie program; European Research Council; Horizon 2020 Grant [675440, 724704, 752730, 758316, 765710, 824093, 101115353, 101002207, 101001205]; COST Action [CA16108]; Leventis Foundation; Alfred P. Sloan Foundation; Alexander von Humboldt Foundation; Science Committee [22rl-037]; Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIABelgium); Beijing Municipal Science & Technology Commission [Z191100007219010]; Fundamental Research Funds for the Central Universities; Ministry of Science and Technology of China [2023YFA1605804]; Natural Science Foundation of China [12061141002]; Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; Shota Rustaveli National Science Foundation [FR-22-985]; Deutsche Forschungsgemeinschaft (DFG) [EXC 2121, 400140256 -GRK2497]; Hellenic Foundation for Research and Innovation (HFRI) [2288]; Hungarian Academy of Sciences [K 131991, K 133046, K 138136, K 143460, K 143477, K 146913, K 146914, K 147048, 2020-2.2.1-ED-2021-00181, TKP2021-NKTA-64, 2021-4.1.2-NEMZ_KI-2024-00036]; Council of Science and Industrial Research, India - NextGenerationEU program (Italy); Latvian Council of Science; Ministry of Education and Science [2022/WK/14]; National Science Center [Opus 2021/41/B/ST2/01369, 2021/43/B/ST2/01552]; Fundacao para a Ciencia e a Tecnologia [CEECIND/01334/2018]; National Priorities Research Program by Qatar National Research Fund; ERDF/EU; Programa Severo Ochoa del Principado de Asturias (Spain); National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation [B39G670016]; Kavli Foundation; Nvidia Corporation; SuperMicro Corporation; Welch Foundation [C-1845]; Weston Havens Foundation (USA); European Research Council (ERC) [101001205] Funding Source: European Research Council (ERC)We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centers and personnel of the Worldwide LHC Computing Grid and other centers for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC, the CMS detector, and the supporting computing infrastructure provided by the following funding agencies: SC (Armenia), 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); ERC PRG, RVTT3 and MoER TK202 (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); SRNSF (Georgia); 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); LMTLT (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); MICIU/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, 101115353, 101002207, 101001205, and COST Action CA16108 (European Union); the Leventis Foundation; the Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the Science Committee, project no. 22rl-037 (Armenia); the Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIABelgium); the Beijing Municipal Science & Technology Commission, No. Z191100007219010, the Fundamental Research Funds for the Central Universities, the Ministry of Science and Technology of China under Grant No. 2023YFA1605804, and the Natural Science Foundation of China under Grant No. 12061141002 (China); the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Shota Rustaveli National Science Foundation, grant FR-22-985 (Georgia); the Deutsche Forschungsgemeinschaft (DFG), among others, under Germany's Excellence Strategy -EXC 2121 "Quantum Universe" -390833306, and under project number 400140256 -GRK2497; the Hellenic Foundation for Research and Innovation (HFRI), Project Number 2288 (Greece); the Hungarian Academy of Sciences, the New National Excellence Program -UNKP, the NKFIH research grants K 131991, K 133046, K 138136, K 143460, K 143477, K 146913, K 146914, K 147048, 2020-2.2.1-ED-2021-00181, TKP2021-NKTA-64, and 2021-4.1.2-NEMZ_KI-2024-00036 (Hungary); the Council of Science and Industrial Research, India; ICSC -National Research Center for High Performance Computing, Big Data and Quantum Computing and FAIR -Future Artificial Intelligence Research, funded by the NextGenerationEU program (Italy); 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; MICIU/AEI/10.13039/501100011033, ERDF/EU, "European Union NextGenerationEU/PRTR", 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 B39G670016 (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (USA).Science Citation Index Expande
Measurement of WWZ and ZH Production Cross Sections at √s=13 and 13.6 TeV
No full textSano, Fonseca De Souza/0000-0001-7830-0837; Giacomo, Bolini/0000-0001-5490-605X; Erice Cid, Carlos Francisco/0000-0002-6469-3200; Thachayath Sugunan, Aravind/0000-0001-6545-0350; Lee, Jason/0000-0002-2153-1519; Zhang, Yousen/0000-0002-6812-761X; Lee, Jason/0000-0002-2153-1519; Ruales, Anderson/0000-0003-0826-0803; Consuegra Roiguez, Sana/0000-0002-1383-1837; Pérez Prada, Maximilian/0000-0002-2831-463X; Hernández Calama, José María/0000-0001-6436-7547; Ruiz, Jose/0000-0002-3306-0363; Barbosa Trujillo, Diego Andrés/0000-0001-6607-4238; Palencia Cortezon, Jose Enrique/0000-0001-8264-0287; Painesis, Haris/0000-0001-5061-7031; Russell, Lucas/0000-0002-6502-2185; Fidalgo Rodríguez, Guillermo/0000-0001-8605-9772; De Souza Lemos, Dener/0000-0003-1982-8978; Fernández Ramos, Juan Pablo/0000-0002-0122-313X; Gupta, Harshul/0000-0001-8551-7866; Christoforou, Konstantinos/0000-0003-2205-1100; Figueiredo, Diego/0000-0003-2514-6930; Agicevic, Marko/0000-0003-1967-6783; Phor, Saumya/0000-0001-7842-9518; Ligabue, Franco/0000-0002-1549-7107; Faccioli, Pietro/0000-0003-1849-6692; Wilson, Jonathan/0000-0002-5672-7394; Fernandez Perez Tomei, Thiago Rafael/0000-0002-1809-5226; Riti, Federica/0000-0002-1466-9077;A measurement is presented of the cross section in proton-proton collisions for the production of two W bosons and one Z boson. It is based on data recorded by the CMS experiment at the CERN LHC at center-of-mass energies root s = 13 and 13.6 TeV, corresponding to an integrated luminosity of 200 fb(-1). Events with four charged leptons (electrons or muons) in the final state are selected. Both nonresonant WWZ production and ZH production, with the Higgs boson decaying into two W bosons, are reported. For the first time, the two processes are measured separately in a simultaneous fit. Combining the two modes, signal strengths relative to the standard model (SM) predictions of 0.75(-0.29)(+0.34) and 1.74(-0.60)(+0.71) are measured for root s = 13 and 13.6 TeV, respectively. The observed (expected) significance for the triboson signal is 3.8 (2.5) standard deviations for root s = 13.6 TeV, thus providing the first evidence for triboson production at this center-of-mass energy. Combining the two modes and the two center-of-mass energies, the inclusive signal strength relative to the SM prediction is measured to be 1.03(-0.28)(+0.31), with an observed (expected) significance of 4.5 (5.0) standard deviations.SC (Armenia); BMBWF (Austria); FWF (Austria); FNRS (Belgium); FWO (Belgium); CNPq (Brazil); CAPES (Brazil); FAPERJ (Brazil); FAPERGS (Brazil); FAPESP (Brazil); MES (Bulgaria); BNSF (Bulgaria); CERN; CAS (China); MoST (China); NSFC (China); MINCIENCIAS (Colombia); MSES (Croatia); CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); ERC PRG (Estonia); ERC RVTT3 (Estonia); MoER TK202 (Estonia); Academy of Finland (Finland); MEC (Finland); HIP (Finland); CEA (France); CNRS/IN2P3 (France); SRNSF (Georgia); BMBF (Germany); DFG (Germany); HGF (Germany); GSRI (Greece); NKFIH (Hungary); DAE (India); DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP (Republic of Korea); NRF (Republic of Korea); MES (Latvia); LMTLT (Lithuania); MOE (Malaysia); UM (Malaysia); BUAP (Mexico); CINVESTAV (Mexico); CONACYT (Mexico); LNS (Mexico); SEP (Mexico); UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MES (Poland); FCT (Portugal); MESTD (Serbia); MICIU/AEI (Spain); PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); MHESI (Thailand); NSTDA (Thailand); TUBITAK (Turkey); TENMAK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE(USA); NSF (USA)We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centers and personnel of the Worldwide LHC Computing Grid and other centers for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC, the CMS detector, and the supporting computing infrastructure provided by the following funding agencies: SC (Armenia), 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); ERC PRG, RVTT3, and MoER TK202 (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); SRNSF (Georgia); 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); LMTLT (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); MICIU/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).Science Citation Index Expande