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The Effect of Fusel Oil and Waste Biodiesel Fuel Blends on a Ci Engine Performance, Emissions, and Combustion Characteristics
No full textIn this study, experimental engine tests were conducted to investigate the combustion, performance, and emission characteristics of a diesel engine using a fuel blend composed of diesel, biodiesel, and fusel oil. In the study, which was carried out by using fuels obtained from different wastes together in a diesel engine. Seven different fuels were prepared for experiments by adding waste cooking oil (30% and 50%) and fusel oil (5% and 10%) by volume to commercial diesel fuel. The tests were carried out on the Lombardini LDW 1003 engine, a three-cylinder diesel engine, at four different engine loads (10, 20, 30, and 40 Nm), and a constant speed (2000 rpm). The experimental results revealed that the use of WCO generally led to increased NOx emissions which generally decreased with the fusel oil addition to the fuel mixture. Considering diesel fuel as a reference at maximum load conditions, there was a 12.63% increase in NOx emissions with 50% WCO. A 2.45% decrease in NOx emissions was achieved by adding 10% fusel oil. Furthermore, HC emissions decreased with the addition of both fusel oil and WCO at all load levels. When diesel fuel is taken as a reference at maximum load conditions, a 90% reduction in HC emissions was achieved by adding 50% WCO, and a 50% reduction in HC emissions was achieved by adding 10% fusel oil. Additionally, when diesel fuel is taken as a reference at maximum load condition, it was observed that a 0.05% increase in the maximum cylinder pressure value with the addition of 50% WCO and a 2.09% increase in the maximum cylinder pressure value with the addition of 10% fusel oil. © The Author(s) 2024.Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTA
Left and Right Eigenvectors of a Variant of the Sylvester-Kac Matrix
No full textAs an extension of Sylvester’s matrix, a tridiagonal matrix is investigated by determining both left and right eigenvectors. Orthogonality relations between left and right eigenvectors are derived. Two determinants of the matrices constructed by the left and right eigenvectors are evaluated in closed form. © 2024 Cambridge University Press. All rights reserved
Combination and Summary of Atlas Dark Matter Searches Interpreted in a 2hdm With a Pseudo-Scalar Mediator Using 139 Fbsup>-1/Sup> of √i>s/I>=13 Tev i>pp/I> Collision Data
No full textButterworth, Jonathan/0000-0002-5905-5394; Abulaiti, Yiming/0000-0003-0403-3697; Mazzeo, Elena/0000-0002-8406-0195; Follega, Francesco Maria/0000-0003-2317-9560; Herde, Hannah/0000-0001-8926-6734; Smirnova, Oxana/0000-0003-2517-531X; Stanislaus, Beojan/0000-0001-9007-7658; Ragusa, Francesco/0000-0002-4064-0489; Abicht, Nils Julius/0000-0001-5763-2760; Mlinarevic, Marin/0000-0003-3587-646X; Kretzschmar, Jan/0000-0002-8515-1355; Camplani, Alessandra/0000-0002-6386-9788; ABREU, Henso/0000-0002-1599-2896; Abramowicz, Halina/0000-0001-5329-6640; Haley, Joseph/0000-0002-6938-7405; Etzion, Erez/0000-0001-6871-7794; Rompotis, Nikolaos/0000-0003-2577-1875; Konstantinidis, Nikolaos/0000-0002-4140-6360; Carbone, Antonio/0000-0002-4117-3800; Petersen, Troels/0000-0003-0221-3037; Calafiura, Paolo/0000-0002-1692-1678; Abbott, Braden/0000-0002-5888-2734; Fiorini, Luca/0000-0002-5070-2735; Teixeira-Dias, Pedro/0000-0001-9977-3836; /0000-0001-5765-1750; D'Auria, Saverio/0000-0003-3393-6318; Abusleme, Angel/0000-0003-0762-7204; Stabile, Alberto/0000-0002-6868-8329; Aboulhorma, Asmaa/0000-0002-9987-2292; McKee, Shawn/0000-0002-4551-4502; Aad, Georges/0000-0002-6665-4934; Mitsou, Vasiliki A./0000-0002-1533-8886; Gwilliam, Carl/0000-0002-9401-5304Results from a wide range of searches targeting different experimental signatures with and without missing transverse momentum (E-T(miss)) are used to constrain a Two-Higgs-Doublet Model (2HDM) with an additional pseudo-scalar mediating the interaction between ordinary and dark matter (2HDM+a). The analyses use up to 139 fb(-1) of proton-proton collision data at a centre-of-mass energy root s = 13 TeV recorded with the ATLAS detector at the Large Hadron Collider during 2015-2018. The results from three of the most sensitive searches are combined statistically. These searches target signatures with large E-T(miss) and a leptonically decaying Z boson; large E-T(miss) and a Higgs boson decaying to bottom quarks; and production of charged Higgs bosons in final states with top and bottom quarks, respectively. Constraints are derived for several common and new benchmark scenarios in the 2HDM+a. (c) 2024 Science China Press. Published by Elsevier B.V. and Science China Press. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF/SFU (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), 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. [156]. We gratefully acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; 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; 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, Taipei; TENMAK, Turkiye; STFC, United Kingdom; DOE and NSF, United States of America. Individual groups and members have received support from BCKDF, CANARIE, CRC and DRAC, Canada; CERN-CZ, PRIMUS 21/SCI/017 and UNCE SCI/013, Czech Republic; COST, ERC, ERDF, Horizon 2020, ICSC-NextGenerationEU 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 MINERVA, 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. In addition, individual members wish to acknowledge support from Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT 1190886, FONDECYT 1210400, FONDECYT 1230812, FONDECYT 1230987); China: the National Natural Science Foundation of China (12175119, 12275265, 12075060); Czech Republic: PRIMUS Research Programme (PRIMUS/21/SCI/017); European Union: European Research Council (ERC-948254), Horizon 2020 Framework Programme (MUCCA-CHIST-ERA-19-XAI-00), European Union, Future Artificial Intelligence Research (FAIRNextGenerationEU PE00000013), Italian Center for High Performance Computing, Big Data and Quantum Computing (ICSC, NextGenerationEU), Marie Sklodowska-Curie Actions (EU H2020 MSC IF GRANT NO 101033496); France: Agence Nationale de la Recherche (ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21CE31-0022), Investissements d'Avenir Idex (ANR-11-LABX-0012), Investissements d'Avenir Labex (ANR-11-LABX-0012); Germany: Baden-Wurttemberg Stiftung (BW Stiftung-Postdoc Eliteprogramme), Deutsche Forschungsgemeinschaft (DFG-CR 312/5-1); Italy: Istituto Nazionale di Fisica Nucleare (FELLINI G.A. n. 754496, ICSC, NextGenerationEU); Japan: Japan Society for the Promotion of Science (JSPS KAKENHI JP21H05085, JSPS KAKENHI JP22H01227, JSPS KAKENHI JP22H04944); Netherlands: Netherlands Organisation for Scientific Research (NWO Veni 2020-VI. Veni.202.179); Norway: Research Council of Norway (RCN314472); Poland: Polish National Agency for Academic Exchange (PPN/PPO/2020/1/00002/U/00001), Polish National Science Centre (NCN 2021/42/E/ST2/00350, NCN UMO-2019/34/E/ST2/00393, UMO-2020/37/B/ST2/01043, UMO-2021/40/C/ST2/00187); Slovenia: Slovenian Research Agency (ARIS grant J1-3010); Spain: BBVA Foundation (LEO22-1-603), Generalitat Valenciana (Artemisa, FEDER, IDIFEDER/2018/048), La Caixa Banking Foundation (LCF/BQ/PI20/11760025), Ministry of Science and Innovation (MCIN ; NextGenEU -PCI2022-135018-2, MICIN ; FEDER-PID2021125273NB, RYC2019-028510-I, RYC2020-030254-I, RYC2021031273-I, RYC2022-038164-I), PROMETEO and GenT Programmes Generalitat Valenciana (CIDEGENT/2019/023, CIDEGENT/2019/027); Sweden: Swedish Research Council (VR 201800482, VR 2022-03845, VR 2022-04683, VR grant 2021-03651), Knut and Alice Wallenberg Foundation (KAW 2017.0100, KAW 2018.0157, KAW 2018.0458, KAW 2019.0447); Switzerland: Swiss National Science Foundation (SNSF-PCEFP2_194658); United Kingdom: Leverhulme Trust (Leverhulme Trust RPG-2020-004); United States of America: Neubauer Family Foundation.NDGF (Denmark, Norway, Sweden); KIT/GridKA (Germany); INFN-CNAF (Italy); NL-T1 (Netherlands), PIC (Spain); BNL (USA) [156]; ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW; FWF, Austria; ANAS; CNPq; FAPESP, Brazil; NSERC; CFI, Canada; NSFC, China; MEYS CR, Czech Republic; DNRF; DNSRC, Denmark; IN2P3-CNRS; CEA-DRF/IRFU, France; BMBF; MPG, Germany; RGC and Hong Kong SAR, China; ISF; Benoziyo Center, Israel; INFN, Italy; MEXT; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS; MIZS, Slovenia; MICINN, Spain; SRC; Wallenberg Foundation, Sweden; SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taipei; DOE; NSF, United States of America; BCKDF; CANARIE; CRC; DRAC, Canada [PRIMUS 21/SCI/017, UNCE SCI/013]; Czech Republic; ERC; ERDF; Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex; ANR, France; DFG; AvH Foundation, Germany - EU-ESF; Greek NSRF, Greece; BSF-NSF; NCN [UMO-2019/34/E/ST2/00393, UMO-2020/37/B/ST2/01043, UMO-2021/40/C/ST2/00187]; La Caixa Banking Foundation [LCF/BQ/PI20/11760025]; CERCA Programme Generalitat de Catalunya; PROMETEO; Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society; Leverhulme Trust, United Kingdom; Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT) [1190886]; FONDECYT [1230987]; China: the National Natural Science Foundation of China [12175119, 12275265, 12075060]; Czech Republic: PRIMUS Research Programme [PRIMUS/21/SCI/017]; European Union: European Research Council [ERC-948254, MUCCA-CHIST-ERA-19-XAI-00]; European Union [FAIRNextGenerationEU PE00000013]; Italian Center for High Performance Computing, Big Data and Quantum Computing (ICSC); Marie Sklodowska-Curie Actions (EU) [101033496]; France: Agence Nationale de la Recherche [ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21CE31-0022]; Investissements d'Avenir Idex [ANR-11-LABX-0012]; Investissements d'Avenir Labex; Germany: Baden-Wurttemberg Stiftung; Deutsche Forschungsgemeinschaft [DFG-CR 312/5-1, 754496]; Japan: Japan Society for the Promotion of Science (JSPS KAKENHI) [JP21H05085, JP22H01227, JP22H04944, NWO Veni 2020-VI]; Norway: Research Council of Norway [RCN314472]; Polish National Agency for Academic Exchange [PPN/PPO/2020/1/00002/U/00001]; Polish National Science Centre (NCN) [2021/42/E/ST2/00350]; Slovenian Research Agency [J1-3010]; BBVA Foundation [LEO22-1-603]; Generalitat Valenciana (Artemisa, FEDER) [IDIFEDER/2018/048]; Ministry of Science and Innovation [NextGenEU -PCI2022-135018-2, FEDER-PID2021125273NB, RYC2019-028510-I, RYC2020-030254-I, RYC2021031273-I, RYC2022-038164-I]; GenT Programmes Generalitat Valenciana [CIDEGENT/2019/023, CIDEGENT/2019/027]; Swedish Research Council [VR 201800482, VR 2022-03845, VR 2022-04683, 2021-03651]; Knut and Alice Wallenberg Foundation [KAW 2017.0100, KAW 2018.0157, KAW 2018.0458]; Swiss National Science Foundation [SNSF-PCEFP2_194658]; United Kingdom: Leverhulme Trust (Leverhulme Trust) [RPG-2020-004]; United States of Americ
Measurements of Inclusive and Differential Cross-Sections of i>t/I>(i>t Production in i>pp/I> Collisions at √i>s/I>=13 Tev With the Atlas Detector
No full textLuehring, Frederick/0000-0001-8721-6901; Schultz-Coulon, Hans-Christian/0000-0002-0860-7240; Blue, Andrew/0000-0002-7716-5626; Benjamin, TROCME/0000-0001-9500-2487; Dunne, Katherine/0000-0003-2626-2247; Dittus, Fridolin/0000-0002-1760-8237; Bednyakov, Vadim/0000-0003-4864-8909; Gee, Carolyn/0000-0002-3271-7861; Clark, Allan/0000-0001-8341-5911; Hopkins, Walter/0000-0001-7814-8740; Goumarre, Vincent/0000-0002-1294-9091; Tsai, Fang-Ying/0000-0001-7878-6435; Doyle, Anthony/0000-0001-6322-6195; Burdin, Sergey/0000-0003-4831-4132; Usman, Muhammad/0000-0003-1950-0307; Potti, Harish/0000-0002-0800-9902; Hillier, Stephen/0000-0002-7599-6469; Terashi, Koji/0000-0001-6520-8070; Hadzic, Sejla/0000-0002-8875-8523; DA FONSECA PINTO, JOAO VICTOR/0000-0003-1746-1914; Wendland, Bjorn/0000-0003-1623-3899; Lysak, Roman/0000-0003-2990-1673; Peters, Krisztian/0000-0002-7654-1677; Bachas, Konstantinos/0000-0002-9047-6517; Grosse-Knetter, Jorn/0000-0003-3085-7067; Sykora, Ivan/0000-0003-3447-5621; Mazzeo, Elena/0000-0002-8406-0195; Gray, Heather/0000-0002-5293-4716; Mkrtchyan, Tigran/0000-0002-5786-3136; Chou, Yuan-Tang/0000-0002-2204-5731; Zhang, Dengfeng/0000-0001-7335-4983; Falda Coelho, Luis Felipe/0000-0002-2298-3605; Schmidt, Mustafa/0000-0002-4467-2461; David, Claire/0000-0002-1794-1443; Ventura, Andrea/0000-0002-3368-3413; Gustavino, Giuliano/0000-0002-5938-4921; Levchenko, Mikhail/0000-0002-5495-0656; Beringer, Juerg/0000-0002-9975-1781; Wiedenmann, Werner/0000-0003-3605-3633; Bakos, Evelin/0000-0002-1110-4433; Castro, Nuno/0000-0001-8491-4376; Biswal, Jyoti Prakash/0000-0001-8361-2309; Alexa, Calin/0000-0003-0922-7669; Bianco, Gianluca/0000-0003-4473-7242; Gonzalez Suarez, Rebeca/0000-0002-6126-7230; Snesarev, Andrei/0000-0002-9067-8362; Dell'Acqua, Andrea/0000-0003-2453-7745; Anisenkov, Alexey/0000-0002-7201-5936; Ghosh, Aishik/0000-0003-0819-1553; Affolder, Anthony/0000-0002-9058-7217; Ntekas, Konstantinos/0000-0001-9252-6509; Cristinziani, Markus/0000-0003-3893-9171; Hansen, Peter Henrik/0000-0002-6764-4789; Rebuzzi, Daniela Marcella/0000-0003-4461-3880; Qian, Jianming/0000-0003-4813-8167; Onyisi, Peter/0000-0003-4201-7997; franklin, melissa/0000-0002-6595-883X; Ohm, Christian/0000-0002-8015-7512; Gilbert, Alexander Kevin/0000-0002-8813-4446; Fisher, Wade/0000-0003-3043-3045; Zerradi, Soufiane/0000-0001-9101-3226; Frattari, Guglielmo/0000-0002-7829-6564; Rodriguez Bosca, Sergi/0000-0002-4571-2509; Strandberg, Jonas/0000-0002-8913-0981; Leban, Blaz/0000-0003-1501-7262; SOUMAIMI, Zainab/0000-0002-8120-478X; De Almeida Dias, Flavia/0000-0001-6882-5402; Froch, Alexander/0000-0002-8259-2622; Mezquita, Costa/0000-0002-2064-2954; Zhemchugov, Alexey/0000-0002-3360-4965; Astalos, Robert/0000-0001-5095-605X; Davidek, Tomas/0000-0002-3770-8307; Turra, Ruggero/0000-0001-8740-796X; Les, Robert/0000-0002-8875-1399; Ducu, Otilia/0000-0001-5914-0524; Li, Zhelun/0000-0001-7096-2158; Laurier, Alexandre/0000-0002-2575-0743; Vetterli, Michel/0000-0002-7223-2965; Cunha Sargedas Sousa, Mario Jose/0000-0001-7991-593X; Di Luca, Andrea/0000-0002-9074-2133; Dam, Mogens/0000-0001-6278-9674; Martin-Haugh, Stewart/0000-0001-9457-1928; Gwenlan, Claire/0000-0002-3518-0617; uysal, zekeriya/0000-0002-7110-8065; Morange, Nicolas/0000-0003-0047-7215; Bouhova-Thacker, Evelina/0000-0002-5103-1558; Vermeulen, Jos/0000-0003-4378-5736; Piper, Katie/0000-0002-7669-4518; Rohne, Ole Myren/0000-0001-7744-9584; Makovec, Nikola/0000-0001-5124-904X; Begel, Michael/0000-0002-1634-4399; Djobava, Tamar/0000-0002-9414-8350; Mokgatitswane, Gaogalalwe/0000-0001-9878-4373; Lewicki, Maciej Piotr/0000-0002-8972-3066; Camarri, Paolo/0000-0002-5732-5645; White, Martin/0000-0001-5474-4580; Ince Lezki, Merve/0000-0001-6907-0195; Mtintsilana, Onesimo/0000-0003-2168-4854; Ke, Yan/0000-0001-5798-6665; Ragusa, Francesco/0000-0002-4064-0489; Kortman, Bryan Alexander/0000-0001-7081-3275; Bossio Sola, Jonathan David/0000-0002-7134-8077; Villaplana Perez, Miguel/0000-0002-0048-4602; Sfyrla, Anna/0000-0002-3003-9905; Svatos, Michal/0000-0002-7199-3383; Walder, James/0000-0002-9039-8758; Parajuli, Santosh/0000-0003-1499-3990; Ferrere, Didier/0000-0002-5687-9240; El Ghazali, Yassine/0000-0001-9172-2946; Lie, Ki/0000-0002-5779-5989; Adamczyk, Leszek/0000-0002-5859-2075; Potepa, Patrycja Anna/0000-0002-1325-7214; Barreiro, Fernando/0000-0002-3021-0258; Heinrich, Jochen Jens/0000-0002-0253-0924; Sato, Koji/0000-0001-8988-4065; Alonso, Francisco/0000-0001-9431-8156; Balasubramanian, Rahul/0000-0001-5840-1788; Siral, Ismet/0000-0003-4554-1831; Flores Castillo, Luis Roberto/0000-0003-1551-5974; TERRON, JUAN/0000-0003-0132-5723; Ekman, Per Alexander/0000-0002-7032-2799; Rimoldi, Marco/0000-0003-1165-7940; Wu, Sau Lan/0000-0001-5866-1504; CETIN, SERKANT ALI/0000-0001-5050-8441; de la Torre Perez, Hector/0000-0002-4516-5269; CARRA, SONIA/0000-0001-8650-942X; Moreno Martinez, Carlos/0000-0002-5719-7655; Wang, Zirui/0000-0002-0928-2070; Shapiro, Marjorie/0000-0001-8540-9654; Knue, Andrea/0000-0002-1559-9285; Giannetti, Paola/0000-0002-3721-9490; Xu, Lailin/0000-0001-8997-3199; Kurchaninov, Leonid/0000-0001-9392-3936; Newhouse, Robin/0000-0001-8026-3836; Delsart, Pierre-Antoine/0000-0002-9556-2924; Liu, Minghui/0000-0003-0056-7296; Tzovara, Eftychia/0000-0002-0410-0055; Schopf, Elisabeth/0000-0002-9340-2214; Solovyev, Victor/0000-0002-9402-6329; Terzo, Stefano/0000-0003-3388-3906; Li, Huanguo/0000-0002-2459-9068; Baron, Petr/0000-0002-5170-0053; Rodrigues, Marcus Vinicius/0000-0002-7906-8088; Ciesla, Krzysztof/0000-0003-2751-3474; Nielsen, Jason/0000-0002-9175-4419; Smirnov, Yury/0000-0002-2891-0781; Yang, Hongtao/0000-0003-3554-7113; Winter, Benedict Tobias/0000-0001-9606-7688; Golling, Tobias/0000-0001-8535-6687; Mincer, Allen/0000-0002-6307-1418; Du, Dongshuo/0000-0002-6758-0113; BALLABENE, ERIC/0000-0001-9700-2587; Ould-Saada, Farid/0000-0002-9404-835X; Maeda, Junpei/0000-0002-9084-3305; Sforza, Federico/0000-0002-4065-7352; Li, Zhiying/0000-0001-9800-2626; Ellis, Nicolas/0000-0002-1920-4930; Zhang, Zhiqing/0000-0002-7853-9079; Gauzzi, Paolo/0000-0003-4841-5822; Camarda, Stefano/0000-0003-0479-7689; Nkadimeng, Edward/0000-0003-0800-7963; Winklmeier, Frank/0000-0001-8290-3200; Elsing, Markus/0000-0002-1213-0545; Coccaro, Andrea/0000-0003-2368-4559; Romano, Marino/0000-0002-6609-7250; Hays, Chris/0000-0003-2371-9723; Willocq, Stephane/0000-0002-4120-1453; Longo, Luigi/0000-0002-2357-7043; Liu, Xinyan/0000-0003-1890-2275; Falke, Peter Johannes/0000-0002-2004-476X; Torro Pastor, Emma/0000-0002-5507-7924; Hirose, Shigeki/0000-0002-2389-1286; Duperrin, Arnaud/0000-0002-5789-9825; Carbone, Antonio/0000-0002-4117-3800; Truong, Thi Ngoc Loan/0000-0001-8249-7150; EL FARKH, SAAD/0000-0002-7999-3767; Faltova, Jana/0000-0003-4278-7182; , Elham E Khoda/0000-0001-8720-6615; Argyropoulos, Spyridon/0000-0001-7748-1429; Sauvan, Emmanuel/0000-0003-1921-2647; Jacques Costa, Antonio/0000-0001-6305-8400; Duehrssen-Debling, Michael/0000-0002-5833-7058; Staszewski, Rafal/0000-0001-7708-9259; Russakovich, Nikolai/0000-0003-1927-5322; Liu, Xiaotian/0000-0003-1366-5530; Primavera, Margherita/0000-0002-6866-3818; Ocariz, Jose/0000-0003-2262-0780; Dao, Valerio/0000-0003-1645-8393; Cepaitis, Vilius/0000-0002-4809-4056; Moser, Brian/0000-0001-6750-5060; D'Uffizi, Matteo/0000-0003-2499-1649; Djama, Fares/0000-0003-1881-3360; Yang, Tianyi/0000-0002-4996-1924; Lapertosa, Alessandro/0000-0001-6246-6787; Wengler, Thorsten/0000-0002-4375-5265; Pascual Dominguez, Luis/0000-0003-4701-9481; Leight, William/0000-0002-2968-7841; Windischhofer, Philipp/0000-0001-5038-1399; Gonella, Laura/0000-0002-4919-0808; Konstantinidis, Nikolaos/0000-0002-4140-6360; Heinrich, Lukas/0000-0002-4048-7584; Stanislaus, Beojan/0000-0001-9007-7658; Bouaouda, Khalil/0000-0002-7723-5030; Bouquet, Romain/0000-0001-9683-7101; Vranjes, Nenad/0000-0001-5415-5225; Weirich, Marcel/0000-0002-5129-872X; Chwastowski, Janusz/0000-0002-6190-8376; Seema, Pienpen/0000-0002-3727-5636; Farrington, Sinead/0000-0001-5350-9271; Fox, Harald/0000-0003-3089-6090; Mascione, Daniela/0000-0001-8660-9893; Buttar, Craig/0000-0003-0188-6491; Martinelli, Luca/0000-0002-4466-3864; Masubuchi, Tatsuya/0000-0001-9984-8009; McPherson, Robert/0000-0001-9211-7019; Montejo Berlingen, Javier/0000-0001-9213-904X; Chargeishvili, Bakar/0000-0002-5376-2397; Zakharchuk, Nataliia/0000-0002-4963-8836; Moskalets, Tetiana/0000-0001-6508-3968; Muller, Roman/0000-0002-5835-0690; Gurdasani, Simran Sunil/0000-0002-8836-0099; Escalier, Marc/0000-0003-4270-2775; Ebrahim, Abdualazem/0000-0002-5003-1919; Heinlein, James/0000-0001-6878-9405; Martinez-Agullo, Pablo/0000-0001-8925-9518; Oreglia, Mark/0000-0001-6203-2209; Simsek, Sinem/0000-0002-9650-3846; van Daalen, Tal/0000-0002-2254-125X; D'Amen, Gabriele/0000-0002-9742-3709; Auriol, Adrien/0000-0002-3623-1228; Saimpert, Matthias/0000-0002-3765-1320; Shahinian, Jeffrey/0000-0002-1325-3432; Sebastiani, Cristiano/0000-0003-1073-035X; Verissimo de Araujo, Micael/0000-0001-8060-2228; Bogavac, Danijela/0000-0003-2138-9062; Ran, Kunlin/0000-0003-3119-9924; Zoch, Knut/0000-0003-2138-6187; 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Effects of Spray-Dried Plasma on Performance, Carcass Parameters, Tibia Quality and Newcastle Disease Vaccine Efficacy in Broiler Chicken Fed Corn-Soy Diets With Two Varying Levels of Digestible Amino Acids and Amen Density
No full textThis study aimed to determine the effects of spray dried plasma (SDP) on growth performance, carcass traits, tibia quality, and hemagglutination inhibition titers in broilers fed two nutritional strategies with high or low nutrient density. In the study, 816 one-day-old Ross 308 male broiler chickens were divided into a 2 x 2 factorial arrangements consisting of four treatment groups with 12 replicates (17 birds/replicate) based on diets with high nutrient density (HND) or low nutrient density (LND) from d 0 to 42 and receiving either control or 1% SDP diets during d 0 to 10. The results showed that feed intake (FI) and body weight gain (BWG) were increased (P 0.05) and feed conversion ratio (FCR) was significantly reduced (P = 0.003) for broilers fed HND diets from d 0 to 42. The inclusion of SDP increased the BWG (P 0.001), FI (P 0.001), and FCR (P 0.05) during d 0 to 10 of broiler life but not effect of SDP was observed for the whole 0-42 d period. Carcass yield increased with HND (P 0.001) and dietary SDP (P = 0.002). However, HND feeding significantly decreased liver (P 0.001), bursa of Fabricius (P = 0.002), abdominal fat (P 0.001), proventriculus (P 0.001) and gizzard weight (P 0.001), but increased heart weight (P = 0.013), although spleen weight remained unaffected (P > 0.05) on d 42. Tibial bone morphometric and mechanical properties improved (P 0.05) with SDP supplementation, and bone ash, Ca, and P remained unaffected (P > 0.05) on d 14. With the exception at d 28 (P = 0.037), the antibody titer to ND virus was similar among all treatment groups (P > 0.05) at d 0, 14, and 42. In conclusion, HND diets improve performance of broilers during the whole period and SDP supplementation during starter phase improve performance at this period, but also increased carcass yield, and tibial quality. Therefore, inclusion of SDP in the starter diet could be a beneficial nutritional strategy to improve the health and production of broilers provided feeding strategies using various nutrient densities.APC (APC Europe)The authors gratefully acknowledge the support provided by APC (APC Europe, S.L.U., Granollers, Spain)
Spatial Correlation Modeling and Rs-Ls Estimation of Near-Field Channels With Uniform Planar Arrays
No full textExtremely large aperture arrays (ELAAs) can offer massive spatial multiplexing gains in the radiative near-field region in beyond 5G systems. While near-field channel modeling for uniform linear arrays has been extensively explored in the literature, uniform planar arrays-despite their advantageous form factor-have been somewhat neglected due to their more complex nature. Spatial correlation is crucial for non-line-of-sight channel modeling. Unlike far-field scenarios, the spatial correlation properties of near-field channels have not been thoroughly investigated. In this paper, we start from the fundamentals and develop a near-field spatial correlation model for arbitrary spatial scattering functions. Furthermore, we derive the lower-dimensional subspace where the channel vectors can exist. It is based on prior knowledge of the three-dimensional coverage region where scattering clusters exists and we derive a tractable one-dimensional integral expression. This subspace is subsequently employed in the reduced-subspace least squares (RS-LS) estimation method for near-field channels, thereby enhancing performance over the traditional least squares estimator without the need for having full spatial correlation matrix knowledge.The work by O. T. Demir was supported by 2232-B International Fellowship for Early Stage Researchers Programme funded by the Scientific and Technological Research Council of Turkiye.Scientific and Technological Research Council of Turkiye [2232-B
On Hedonic Games With Common Ranking Property
No full textHedonic games are a prominent model of coalition formation, in which each agent's utility only depends on the coalition she resides. The subclass of hedonic games that models the formation of general partnerships (Larson 2018), where all affiliates receive the same utility, is referred to as hedonic games with common ranking property (HGCRP). Aside from their economic motivation, HGCRP came into prominence since they are guaranteed to have core stable solutions that can be found efficiently (Farrell and Scotchmer Q. J. Econ. 103(2), 279-297 1988). We improve upon existing results by proving that every instance of HGCRP has a solution that is Pareto optimal, core stable, and individually stable. The economic significance of this result is that efficiency is not to be totally sacrificed for the sake of stability in HGCRP. We establish that finding such a solution is NP-hard even if the sizes of the coalitions are bounded above by 3; however, it is polynomial time solvable if the sizes of the coalitions are bounded above by 2. We show that the gap between the total utility of a core stable solution and that of the socially-optimal solution (OPT) is bounded above by n, where n is the number of agents, and that this bound is tight. Our investigations reveal that computing OPT is inapproximable within better than O(n(1-epsilon)) for any fixed epsilon > 0, and that this inapproximability lower bound is polynomially tight. However, OPT can be computed in polynomial time if the sizes of the coalitions are bounded above by 2.We would like to thank Edith Elkind for extending our existence result (Theorem 1) so that it includes individual stability (Lemma 3), and also for pointing out the counterexample for Nash stability (Example 3).We would like to thank Edith Elkind for extending our existence result (Theorem 1) so that it includes individual stability (Lemma 3), and also for pointing out the counterexample for Nash stability (Example 3)
Search for New Particles in Events with a Hadronically Decaying W or Z Boson and Large Missing Transverse Momentum at S = 13 TeV Using the ATLAS Detector
No full textA search is presented for new particles produced in proton-proton collisions at a centre-of-mass energy of 13 TeV that result in final states comprising a massive vector (W or Z) boson that decays hadronically and large missing transverse momentum. The data sample was collected with the ATLAS experiment at the Large Hadron Collider from 2015 to 2018 and corresponds to an integrated luminosity of 140 fb−1. No significant excess over the Standard Model expectation is observed. Model-independent 95% confidence-level limits on the visible cross-section that range from 0.3 fb to 79.5 fb are obtained for non-Standard-Model processes. Exclusion limits are also presented for models with axion-like particles, for two-Higgs-doublet models with a pseudo-scalar mediator between the Standard Model and the dark sector, for the invisible decay of the Higgs boson and for pair-produced weakly interacting dark matter candidates. © 2025 Elsevier B.V., All rights reserved