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Quasi-Solid State and Hybrid Zinc Ion Photo-Supercapacitors Based on Manganese Oxide Nanostructures
No full textYaman, Ecenaz/0000-0001-7205-089X; Tuc Altaf, Cigdem/0000-0001-9036-5836The integrated devices, utilizing manganese oxide nanostructures in two different configurations, a quasi-solid state photo-supercapacitor, and an aqueous zinc ion hybrid photo-supercapacitor, were investigated for the direct conversion and storage of solar energy. The maximum specific capacitance of the quasi-solid state photo-supercapacitor devices in the dark was 23.8 F g(-1) at a 0.005 V s(-1) scan rate, increasing by 20.2% to reach 28.6 F g(-1) under AM1.5 illumination. A 55.5% increment in specific capacitance upon illumination was obtained for a quasi-solid state photo-supercapacitor at a 0.2 Vs(-1) scan rate. The zinc ion hybrid photo-supercapacitor device presented better performance compared to the quasi-solid state device. The highest specific capacitance of 140 Fg(-1) has been observed for the zinc ion hybrid photo-supercapacitor device charged to 1.5 V at 1.4 A g(-1) current density. The zinc ion hybrid photo-supercapacitor device operating at 2 V operating voltage under AM1.5 illumination has a record performance with 80 Whkg(-1) energy density and 7 kW kg(-1) power density. Both devices showed excellent stability at 100% capacitance retention at 170,000 and 10,000 galvanostatic charge-discharge cycles, respectively. The high stability, energy, and power densities obtained in this study indicate that both devices have great potential in next-generation energy applications.Turkiye Bilimsel ve Teknolojik Arastirma Kurumu https://doi.org/10.13039/501100004410 [122F390]; TUBITAKThe authors would like to acknowledge the financial support of TUBITAK under the research contract number 122F390
Test of Lepton Flavour Universality in W-Boson Decays Into Electrons and Τ-Leptons Using pp Collisions at √s=13 TeV With the ATLAS Detector
No full textGrinstein, Sebastian/0000-0002-6460-8694; Smirnova, Oxana/0000-0003-2517-531X; Su, Dong/0000-0001-6980-0215; Doglioni, Caterina/0000-0002-1509-0390; Sadrozinski, Hartmut/0000-0003-0019-5410; De La Torre Perez, Hector/0000-0002-4516-5269; Escobar Ibanez, Carlos/0000-0003-4442-4537; Kretzschmar, Jan/0000-0002-8515-1355; Meloni, Federico/0000-0001-7075-2214; Kowalewski, Robert/0000-0002-7314-0990; Redlinger, George/0000-0002-6437-9991; Ahmadov, Faig/0000-0003-3644-540X; Moser, Brian/0000-0001-6750-5060; Gaudio, Gabriella/0000-0002-6833-0933; Warburton, Andreas/0000-0002-2298-7315; Jackson, Paul/0000-0002-0847-402X; Butterworth, Jonathan/0000-0002-5905-5394; Connell, Simon/0000-0001-6000-7245; Vigl, Matthias/0000-0003-2281-3822; Castro, Nuno/0000-0001-8491-4376; Jia, Jiangyong/0000-0002-5725-3397; Mckee, Shawn/0000-0002-4551-4502; Haley, Joseph/0000-0002-6938-7405; Simsek, Sinem/0000-0002-9650-3846; Iuppa, Roberto/0000-0001-5038-2762; Nikolopoulos, Konstantinos/0000-0002-3048-489X; Stark, Giordon/0000-0001-6616-3433; Morii, Masahiro/0000-0001-9324-057X; Bella, Gideon/0000-0002-4009-0990; Cheong, Sanha/0000-0002-2797-6383; Beau, Tristan/0000-0002-2022-2140; Lloyd, Stephen/0000-0002-5073-2264; Bona, Marcella/0000-0002-9660-580X; Aad, Georges/0000-0002-6665-4934; Yabsley, Bruce/0000-0002-2680-0474; Azuelos, Georges/0000-0003-4241-022X; Lebedev, Alexandre/0000-0002-9566-1850; Pettee, Mariel/0000-0001-9208-3218; Dinu, Ioan-Mihail/0000-0002-2683-7349; Martin Dit Latour, Bertrand/0000-0003-3420-2105; Vecchio, Valentina/0000-0002-1351-6757; Fox, Harald/0000-0003-3089-6090; Vincter, Manuella/0000-0002-5338-8972; Mlinarevic, Marin/0000-0003-3587-646X; Mcpherson, Robert/0000-0001-9211-7019; Terzo, Stefano/0000-0003-3388-3906; Onofre, Antonio/0000-0003-3471-2703; Valero, Alberto/0000-0002-9776-5880; Angerami, Aaron/0000-0001-7834-8750; Varvell, Kevin/0000-0003-1017-1295; Carmignani, Joseph (Joe)/0000-0002-1705-1061; Das, Sruthy Jyothi/0000-0003-2693-3389; Konstantinidis, Nikolaos/0000-0002-4140-6360; Tishelman-Charny, Abraham/0000-0002-7332-5098; Schultz-Coulon, Hans-Christian/0000-0002-0860-7240; Ernani Martins Neto, Daniel/0000-0003-2793-5335; Sciandra, Andrea/0000-0001-7163-501X; Chan, Jay/0000-0001-7069-0295; Winter, Benedict Tobias/0000-0001-9606-7688; Gwilliam, Carl/0000-0002-9401-5304; Cranmer, Kyle/0000-0002-5769-7094; Bouhova-Thacker, Evelina/0000-0002-5103-1558; Keeler, Richard/0000-0002-0510-4189; Chwastowski, Janusz/0000-0002-6190-8376; Panizzo, Giancarlo/0000-0002-0352-4833; Umaka, Ejiro/0000-0001-7725-8227; Kirk, Julie/0000-0001-8096-7577; Affolder, Anthony/0000-0002-9058-7217; Santra, Arka/0000-0003-4644-2579; Rompotis, Nikolaos/0000-0003-2577-1875; Merlassino, Claudia/0000-0002-5445-5938; Schmitt, Stefan/0000-0001-8387-1853; Islam, Wasikul/0000-0002-5624-5934A measurement of the ratio of the branching fractions, R-tau/e = B(W -> tau nu)/B(W -> e nu), is performed using a sample of W bosons originating from top-quark decays to final states containing tau-leptons or electrons. This measurement uses pp collisions at root s = 13 TeV, collected by the ATLAS experiment at the Large Hadron Collider during Run 2, corresponding to an integrated luminosity of 140 fb(-1). The W -> tau nu(tau) (with tau -> e nu(e)nu(tau)) and W -> e nu(e) decays are distinguished using the differences in the impact parameter distributions and transverse momentum spectra of the electrons. The measured ratio of branching fractions R-tau/e = 0.975 +/- 0.012 (stat.) +/- 0.020 (syst.), is consistent with the Standard Model assumption of lepton flavour universality in W-boson decays.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; IN2P3CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ICHEP and Academy of Sciences and Humanities, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW, Poland; FCT, Portugal; MNE/IFA, Romania; MSTDI, Serbia; MSSR, Slovakia; ARIS and MVZI, Slovenia; DSI/NRF, South Africa; MICIU/AEI, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; NSTC, Taipei; TENMAK, Turkiye; STFC/UKRI, 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, FORTE and PRIMUS, 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; 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 Armenia: Yerevan Physics Institute (FAPERJ); CERN: European Organization for Nuclear Research (CERN PJAS); Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT 1230812, FONDECYT 1230987, FONDECYT 1240864); China: Chinese Ministry of Science and Technology (MOST-2023YFA1605700, MOST-2023YFA1609300), National Natural Science Foundation of China (NSFC -12175119, NSFC 12275265, NSFC-12075060); Czech Republic: Czech Science Foundation (GACR -24-11373S), Ministry of Education Youth and Sports (FORTE CZ.02.01.01/00/22_008/0004632), PRIMUS Research Programme (PRIMUS/21/SCI/017); EU: H2020 European Research Council (ERC -101002463); European Union: European Research Council (ERC -948254, ERC 101089007), European Union, Future Artificial Intelligence Research (FAIR-NextGenerationEU PE00000013), Italian Center for High Performance Computing, Big Data and Quantum Computing (ICSC, NextGenerationEU); France: Agence Nationale de la Recherche (ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21-CE31-0022, ANR-22-EDIR-0002); Germany: Baden-Wurttemberg Stiftung (BW Stiftung-Postdoc Eliteprogramme), Deutsche Forschungsgemeinschaft (DFG -469666862, DFG -CR 312/5-2); Italy: Istituto Nazionale di Fisica Nucleare (ICSC, NextGenerationEU), Ministero dell'Universita e della Ricerca (PRIN -20223N7F8K PNRR M4.C2.1.1); Japan: Japan Society for the Promotion of Science (JSPS KAKENHI JP22H01227, JSPS KAKENHI JP22H04944, JSPS KAKENHI JP22KK0227, JSPS KAKENHI JP23KK0245); Netherlands: Netherlands Organisation for Scientific Research (NWO Veni 2020 -VI.Veni.202.179); Norway: Research Council of Norway (RCN-314472); Poland: Ministry of Science and Higher Education (IDUB AGH, POB8, D4 no. 9722), Polish National Agency for Academic Exchange (PPN/PPO/2020/1/00002/U/00001), Polish National Science Centre (NCN 2021/42/E/ST2/00350, NCN OPUS 2023/51/B/ST2/02507, NCN OPUS nr 2022/47/B/ST2/03059, NCN UMO-2019/34/E/ST2/00393, NCN ; H2020 MSCA 945339, UMO-2020/37/B/ST2/01043, UMO-2021/40/C/ST2/00187, UMO-2022/47/O/ST2/00148, UMO-2023/49/B/ST2/04085, UMO-2023/51/B/ST2/00920); Slovenia: Slovenian Research Agency (ARIS grant J1-3010); Spain: Generalitat Valenciana (Artemisa, FEDER, ID-IFEDER/2018/048), Ministry of Science and Innovation (MCIN ; NextGenEU PCI2022-135018-2, MICIN ; FEDER PID2021-125273NB, RYC2019-028510-I, RYC2020-030254-I, RYC2021-031273-I, RYC2022-038164-I); Sweden: Carl Trygger Foundation (Carl Trygger Foundation CTS 22:2312), Swedish Research Council (Swedish Research Council 2023-04654, VR 2018-00482, VR 2022-03845, VR 2022-04683, VR 2023-03403, VR grant 2021-03651), Knut and Alice Wallenberg Foundation (KAW 2018.0458, KAW 2019.0447, KAW 2022.0358); Switzerland: Swiss National Science Foundation (SNSF -PCEFP2_194658); United Kingdom: Leverhulme Trust (Leverhulme Trust RPG-2020-004), Royal Society (NIF-R1-231091); United States of America: U.S. Department of Energy (ECA DE-AC02-76SF00515), Neubauer Family Foundation.ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW, Austria; FWF, Austria; ANAS, Azerbaijan; CNPq, Brazil; FAPESP, Brazil; NSERC, Canada; CFI, Canada; NSFC, China; MEYS CR, Czech Republic; DNRF, Denmark; DNSRC, Denmark; IN2P3-CNRS, France; CEA-DRF/IRFU, France; BMBF, Germany; MPG, Germany; Hong Kong SAR, China; ISF, Israel; INFN, Italy; MEXT, Japan; JSPS, Japan; CNRST, Morocco; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS, Slovenia; MIZS, Slovenia; MICINN, Spain; Wallenberg Foundation, Sweden; SERI, Switzerland; MOST, Taiwan; DOE, United States of America; NSF, United States of America; BCKDF, Canada; CANARIE, Canada; Compute Canada, Canada; Czech Republic [PRIMUS 21/SCI/017, UNCE SCI/013]; COST, European Union; ERC, European Union; ERDF, European Union; Horizon 2020, European Union; Marie Skodowska-Curie Actions, European Union; Investissements d'Avenir Labex, France; Investissements d'Avenir Idex , France; ANR, France; DFG , Germany; AvH Foundation, Germany; Herakleitos programme - EU-ESF, Greece; Thales programme - EU-ESF, Greece; Aristeia programme - EU-ESF, Greece; Greek NSRF, Greece; BSF-NSF, Israel; MINERVA, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN, Poland; NAWA, Poland; La Caixa Banking Foundation, Spain; CERCA Programme Generalitat de Catalunya, Spain; PROMETEO Programme Generalitat Valenciana, Spain; GenT Programme Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society, United Kingdom; Leverhulme Trust, United Kingdom; STFC, United Kingdom; TENMAK, Turkiye; Canton of Geneva, Switzerland; Canton of Bern, Switzerland; SNSF, Switzerland; SRC, Sweden; DSI/NRF, South Africa; NWO, Netherlands; Benoziyo Center, Israel; RGC, China; GSRI, Greece; HGF, Germany; SRNSFG, Georgia; Minciencias, Colombia; MOST, China; CAS, China; ANID, Chile; CERN; NRC, Canada; CERN: European Organization for Nuclear Research (CERN PJAS); Chile: Agencia Nacional de Investigacion y Desarrollo [FONDECYT 1190886, FONDECYT 1210400, FONDECYT 1230812, FONDECYT 1230987]; China: National Natural Science Foundation of China [NSFC - 12175119, NSFC 12275265, NSFC-12075060]; Czech Republic: PRIMUS Research Programme [PRIMUS/21/SCI/017]; European Union: European Research Council [ERC - 948254]; European Union: Horizon 2020 Framework Programme [MUCCA - CHIST-ERA-19-XAI-00]; European Union, Future Artificial Intelligence Research (FAIR-NextGenerationEU) [PE00000013]; Italian Center for High Performance Computing, Big Data and Quantum Computing (ICSC, NextGenerationEU); Marie Sklodowska-Curie Actions (EU H2020 MSC IF GRANT) [101033496]; France: Agence Nationale de la Recherche [ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21-CE31-0022]; France: Investissements d'Avenir Idex [ANR-11-LABX-0012]; France: Investissements d'Avenir Labex [ANR-11-LABX-0012]; Germany: Baden-Wurttemberg Stiftung (BW Stiftung-Postdoc Eliteprogramme); Germany: Deutsche Forschungsgemeinschaft [DFG - 469666862, DFG - CR 312/5-1]; Italy: Istituto Nazionale di Fisica Nucleare (FELLINI) [754496]; Japan: Japan Society for the Promotion of Science (JSPS KAKENHI) [22KK0227, JP21H05085, JP22H01227, JP22H04944]; Netherlands: Netherlands Organisation for Scientific Research (NWO Veni 2020) [VI.Veni.202.179]; Norway: Research Council of Norway [RCN-314472]; Poland: Polish National Agency for Academic Exchange [PPN/PPO/2020/1/00002/U/00001]; Poland: Polish National Science Centre [NCN 2021/42/E/ST2/00350, 2022/47/B/ST2/03059, 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]; Ministry of Science and Innovation (MICIN FEDER) [PID2021-125273NB, RYC2019-028510-I, RYC2020-030254-I, RYC2021-031273-I, RYC2022-038164-I]; PROMETEO Programme Generalitat Valenciana [CIDEGENT/2019/023, CIDEGENT/2019/027]; GenT Programme Generalitat Valenciana [CIDEGENT/2019/023, CIDEGENT/2019/027]; Sweden: Swedish Research Council [VR 2018-00482, VR 2022-03845, VR 2022-0468, 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 [RPG-2020-004]; United States of America: Neubauer Family Foundation; United States of America: U.S. Department of Energy [ECA DE-AC02-76SF00515
Comprehensive Review of Smart Wheelchairs for Quadriplegic Patients
No full textQuadriplegia is a disease that causes the person to lose them motor movements over time thus their limbs becoming unable to move. Up to date, many smart wheelchair projects have been put forward so that individuals with this disease can control their wheelchairs by their own. In this review paper, projects and patents related to smart wheelchairs are examined and evaluated. A varied of different methods have been used for the development of novel smart wheelchair technology. Some of these are based on controlling the mechanism using eye movements and head movements. Other smart wheelchair designs incorporate both brain activation and mobile device control. The purpose of this paper is to evaluate the development methods of smart chairs in detail and to compare them in terms of their effects on human health and usefulness
Turquaz at Checkthat! 2025: Debating Large Language Models for Scientific Web Discourse Detection
No full textHiTZ Chair of Artificial Intelligence and Language Technology at the University of the Basque CountryIn this paper, we present our work developed for the scientific web discourse detection task (Task 4a) of CheckThat! 2025. We propose a novel council debate method that simulates structured academic discussions among multiple large language models (LLMs) to identify whether a given tweet contains (i) a scientific claim, (ii) a reference to a scientific study, or (iii) mentions of scientific entities. We explore three debating methods: i) single debate, where two LLMs argue for opposing positions while a third acts as a judge; ii) team debate, in which multiple models collaborate within each side of the debate; and iii) council debate, where multiple expert models deliberate together to reach a consensus, moderated by a chairperson model. We choose council debate as our primary model as it outperforms others in the development test set. Although our proposed method did not rank highly for identifying scientific claims (8th out of 10) or mentions of scientific entities (9th out of 10), it ranked first in detecting references to scientific studies. © 2025 Elsevier B.V., All rights reserved
A Simulation-Informed Robust Optimization Framework for the Design of Energy Efficient Underwater Sensor Networks
No full textGiven that data generation rates of sensors might deviate from what is anticipated during the configuration phase due to several reasons such as event-driven data spikes, dynamic environmental conditions, propagation delay and data buffering, etc., designing robust transmission schemes is pivotal for Underwater Wireless Sensor Networks (UWSNs). Despite advances in underwater technologies, UWSN optimization under traffic uncertainty remains underexplored. This paper presents a novel simulation-informed robust optimization framework for designing energy-efficient UWSNs. We begin with a comprehensive review of the literature that addresses uncertainty in system parameters for wireless network design, followed by an analysis of research focused on modeling the motion of underwater objects. Then, we propose simulating an intrusion detection environment that includes moving targets, such as autonomous underwater vehicles and submarines navigating along 3D routes. To improve simulation accuracy, real bathymetric data is used to define the interactions between system elements including vehicles, sensors, and ocean topography. Then, the expected data generation rates of sensors and the corresponding admissible intervals are determined using the results from multiple simulation runs. The resulting data set is used to determine and conduct comprehensive analyses on optimal deterministic and robust configurations, where the maximum battery allocated to a sensor is minimized. The scenario-based comparison of network functional time between deterministic and robust configurations indicates that the robust design substantially outperforms the deterministic configuration across all data rate realizations, even at the lowest level of deviation from the expectations
Sexism in Contemporary Art
No full textSexism remains a pervasive issue in the art world, with female artists and gallery workers frequently facing discrimination in career progression, limited access to artistic spaces, and bias in art valuation. This paper presents two studies aimed at exploring and quantifying sexism in contemporary art. Study 1 employs a qualitative approach, using semi-structured interviews with artists and gallery workers to capture their experiences of sexism. Thematic analysis reveals five key themes: discrimination in career progression, limited access to artistic spaces, gender bias in art valuation, gendered experiences of mobbing, and the motherhood penalty. Study 2 introduces and validates the Sexism in Art Scale (SIAS), a 12-item measure designed to assess sexist attitudes in the art world. Confirmatory factor analysis confirms a unidimensional structure, with SIAS scores correlating significantly with hostile and benevolent sexism. Together, these studies highlight the ongoing challenges women face in the art world and underscore the need for both structural and cultural reforms to promote gender equity
Search for Dark Matter Produced in Association with a Dark Higgs Boson in the B(b)Over-Bar Final State Using pp Collisions at √s=13 TeV with the ATLAS Detector
No full textGorisek, Andrej/0000-0002-3903-3438; Resconi, Silvia/0000-0003-2313-4020; Miu, Ovidiu/0000-0002-0287-8293; Pater, Joleen/0000-0002-0598-5035; Chou, Yuan-Tang/0000-0002-2204-5731; Liu, Mingyi/0000-0002-0236-5404; Li, Shu/0000-0001-7879-3272; Nisati, Aleandro/0000-0002-5080-2293; Varni, Carlo/0000-0001-6733-4310; Unal, Guillaume/0000-0001-8130-7423; Pleier, Marc-Andre/0000-0002-9461-3494; Leblanc, Matt/0000-0001-5977-6418; Maleev, Victor/0000-0003-1028-8602; Martin-Haugh, Stewart/0000-0001-9457-1928; Zhang, Rui/0000-0002-8265-474X; De La Torre Perez, Hector/0000-0002-4516-5269; Albert, Justin/0000-0003-0253-2505; Burdin, Sergey/0000-0003-4831-4132; Thompson, Emily Anne/0000-0001-7050-8203; Calafiura, Paolo/0000-0002-1692-1678; Jia, Jiangyong/0000-0002-5725-3397; Navarro Gonzalez, Josep/0000-0002-4172-7965; Vormwald, Benedikt/0000-0003-2607-7287; Wei, Yingjie/0000-0001-9725-2316; Alves, Fabio Lucio/0000-0002-1626-6255; Brahimi, Nihal/0000-0003-0992-3509; Mondal, Santu/0000-0002-6965-7380; Onofre, Antonio/0000-0003-3471-2703; Shapiro, Marjorie/0000-0001-8540-9654; Clark, Allan/0000-0001-8341-5911; Vasile, Matei-Eugen/0000-0001-8415-0759; Genest, Marie-Helene/0000-0002-4098-2024; Dao, Valerio/0000-0003-1645-8393; Dong, Binbin/0000-0002-6075-0191; Saoucha, Kamal/0000-0001-9150-640X; Bouquet, Romain/0000-0001-9683-7101; Pollard, Christopher/0000-0002-3690-3960; Hays, Chris/0000-0003-2371-9723; Orellana, Gonzalo Enrique/0000-0002-4753-4048; Beacham, James/0000-0003-3623-3335; Saito, Masahiko/0000-0001-5564-0935; Gutierrez Zagazeta, Luis Felipe/0000-0003-0374-1595; Warburton, Andreas/0000-0002-2298-7315; Rummler, Andre/0000-0001-8945-8760; Tzovara, Eftychia/0000-0002-0410-0055; Przybycien, Mariusz/0000-0002-9235-2649; Thomson, Evelyn/0000-0001-6031-2768; Stockton, Mark/0000-0001-9679-0323; Pham, Thu Lh/0000-0002-8859-1313; Cai, Yizhou/0000-0003-2246-7456; Jones, Eleanor/0000-0001-6289-2292; Cindro, Vladimir/0000-0002-2037-7185; Gonzalez Suarez, Rebeca/0000-0002-6126-7230; Merlassino, Claudia/0000-0002-5445-5938; Kodys, Peter/0000-0002-8644-2349; Martin Dit Latour, Bertrand/0000-0003-3420-2105; Aad, Georges/0000-0002-6665-4934; Ozturk, Nurcan/0000-0003-1125-6784; Worm, STeVen/0000-0002-3865-4996; Todorova, Sarka/0000-0003-2433-231X; Cristoforetti, Marco/0000-0002-0127-1342; Filthaut, Frank/0000-0003-3338-2247; Escobar Ibanez, Carlos/0000-0003-4442-4537; Dong, Qichen/0000-0002-0117-7831; Sabatini, Paolo/0000-0003-0159-697X; Zerradi, Soufiane/0000-0001-9101-3226; Olivares, Sebastian/0000-0003-4616-6973; Brost, Elizabeth/0000-0002-6800-9808; Li, Zhelun/0000-0001-7096-2158; Dam, Mogens/0000-0001-6278-9674; Cadamuro, Luca/0000-0001-8789-610X; Poveda, Joaquin/0000-0001-8144-1964; Ghosh, Aishik/0000-0003-0819-1553; Ripellino, Giulia/0000-0002-4053-5144; Elsing, Markus/0000-0002-1213-0545; Belfkir, Mohamed/0000-0001-9974-1527; Potepa, Patrycja Anna/0000-0002-1325-7214; Kretzschmar, Jan/0000-0002-8515-1355; Redlinger, George/0000-0002-6437-9991; Rodriguez Bosca, Sergi/0000-0002-4571-2509; Deliot, Frederic/0000-0003-0777-6031; Geanta, Andrei-Alexandru/0000-0003-2781-2933; Sciandra, Andrea/0000-0001-7163-501X; Sandesara, Jay/0000-0002-6016-8011; Stanislaus, Beojan/0000-0001-9007-7658; Mitsou, Vasiliki A./0000-0002-1533-8886; Du, Dongshuo/0000-0002-6758-0113; Benjamin, Trocme/0000-0001-9500-2487; Nasella, Laura/0000-0002-4871-784X; D'Onofrio, Monica/0000-0003-2408-5099; Bortoletto, Daniela/0000-0002-1287-4712; Gwilliam, Carl/0000-0002-9401-5304; Sopczak, Andre/0000-0001-6981-0544; Gonski, Julia/0000-0003-2037-6315; Pereira Sanchez, Laura/0000-0001-7913-3313; Lopez Solis, Alvaro/0000-0002-0511-4766; Klein, Matthew Henry/0000-0002-9999-2534; Iakovidis, George/0000-0002-0330-5921; Balasubramanian, Rahul/0000-0001-5840-1788; Alderweireldt, Sara/0000-0002-8224-7036; Tariq, Khuram/0000-0002-0584-8700; Iuppa, Roberto/0000-0001-5038-2762; Haas, Andrew/0000-0002-4832-0455; Ragusa, Francesco/0000-0002-4064-0489; Muanza, STeVe/0000-0002-1786-2075; Gustavino, Giuliano/0000-0002-5938-4921; Carlson, Benjamin/0000-0002-7550-7821; Bhattacharya, Deb Sankar/0000-0003-3837-4166; Bevan, Adrian/0000-0002-4105-9629; Gaudio, Gabriella/0000-0002-6833-0933; Meloni, Federico/0000-0001-7075-2214; Garcia, Carmen/0000-0003-1625-7452; Bogavac, Danijela/0000-0003-2138-9062; Dell'Acqua, Andrea/0000-0003-2453-7745; Nikiforou, Nikiforos/0000-0003-1267-7740; Faraj, Mohammed/0000-0001-9442-7598; Schmitt, Christian/0000-0003-1471-690X; Mungo, Davide Pietro/0000-0002-2567-7857; Stark, Giordon/0000-0001-6616-3433; Coelli, Simone/0000-0002-5145-3646; Salvador Salas, Adrian/0000-0001-5041-5659; Robson, Aidan/0000-0002-1659-8284; Malito, Davide/0000-0002-3996-4662; Panwar, Lata/0000-0003-2461-4907; Czurylo, Marta/0000-0003-1943-5883; Sato, Koji/0000-0001-8988-4065; Hank, Michael/0000-0002-4731-6120; Grosse-Knetter, Jorn/0000-0003-3085-7067; Wendland, Bjorn/0000-0003-1623-3899; Giordani, Mario/0000-0002-0792-6039; Costanzo, Davide/0000-0003-4920-6264; Mete, Alaettin Serhan/0000-0002-5508-530X; Valero, Alberto/0000-0002-9776-5880; Cremonini, Davide/0000-0003-1687-3079; Montejo Berlingen, Javier/0000-0001-9213-904X; Qian, Jianming/0000-0003-4813-8167; Panduro Vazquez, Jose Guillermo/0000-0003-2605-8940; Tishelman-Charny, Abraham/0000-0002-7332-5098; Al Khoury, Konie/0000-0002-0547-8199; Weber, Christian/0000-0002-8659-5767; Aoki, Masato/0000-0001-7498-0097; Das, Sruthy Jyothi/0000-0003-2693-3389; Farrington, Sinead/0000-0001-5350-9271; Mueller, James/0000-0001-5099-4718; Ricci, Ester/0000-0002-4222-9976; Camarda, Stefano/0000-0003-0479-7689; Fox, Harald/0000-0003-3089-6090; Ran, Kunlin/0000-0003-3119-9924; Buckley, Andy/0000-0001-8355-9237; Nasri, Salah/0000-0002-5985-4567; Ciesla, Krzysztof/0000-0003-2751-3474; Brandt, Oleg/0000-0001-5219-1417; Rebuzzi, Daniela Marcella/0000-0003-4461-3880; Volkotrub, Yuriy/0000-0002-3114-3798; Nechaeva, Serafima/0000-0002-0623-9034; Mazzeo, Elena/0000-0002-8406-0195; Heinrich, Lukas/0000-0002-4048-7584; Umaka, Ejiro/0000-0001-7725-8227; Di Luca, Andrea/0000-0002-9074-2133; Chapon, Emilien/0000-0001-6968-9828; Keaveney, James/0000-0003-0766-5307; Introzzi, Gianluca/0000-0002-1314-2580; Liu, Xiaotian/0000-0003-1366-5530; Mckee, Shawn/0000-0002-4551-4502; Rousseau, David/0000-0001-7613-8063; Alvarez Fernandez, Adrian/0000-0003-1525-4620; Frattari, Guglielmo/0000-0002-7829-6564; Schopf, Elisabeth/0000-0002-9340-2214; Komarek, Tomas/0000-0002-3047-3146; Shabalina, Elizaveta/0000-0003-4849-556X; Sadrozinski, Hartmut/0000-0003-0019-5410; Pascual Dominguez, Luis/0000-0003-4701-9481; Guo, Yuxiang/0000-0002-6027-5132; D'Auria, Saverio/0000-0003-3393-6318; Ali, Shahzad/0000-0001-5216-3133; De Almeida Dias, Flavia/0000-0001-6882-5402; Rompotis, Nikolaos/0000-0003-2577-1875; Gramstad, Eirik/0000-0001-5792-5352; Ali, Babar/0000-0001-8653-5556; Ould-Saada, Farid/0000-0002-9404-835X; Da Fonseca Pinto, Joao Victor/0000-0003-1746-1914; STeVenson, Thomas/0000-0003-2399-8945; Smirnova, Oxana/0000-0003-2517-531X; Islam, Wasikul/0000-0002-5624-5934; Andrean, Stefio Yosse/0000-0002-9766-2670; Taylor, Wendy/0000-0002-6596-9125; Grinstein, Sebastian/0000-0002-6460-8694; Saibel, Andrej/0000-0002-9932-7622; Boudet, Leo/0000-0002-3613-3142; Jackson, Paul/0000-0002-0847-402X; Cepaitis, Vilius/0000-0002-4809-4056; Goossens, Luc/0000-0002-2536-4498; Duda, Dominik/0000-0002-5916-3467; Wu, Xin/0000-0001-7655-389X; Roy, Avik/0000-0002-0116-1012; Golling, Tobias/0000-0001-8535-6687; Burghgrave, Blake/0000-0001-5686-0948; Kourlitis, Vangelis/0000-0001-6568-2047; Carbone, Antonio/0000-0002-4117-3800; Zamora-Saa, Jilberto/0000-0002-5030-7516; Marjanovic, Marija/0000-0002-4468-0154; Lebedev, Alexandre/0000-0002-9566-1850; D'Amen, Gabriele/0000-0002-9742-3709; Cerri, Alessandro/0000-0002-1904-6661; Maeda, Junpei/0000-0002-9084-3305; Doglioni, Caterina/0000-0002-1509-0390; Simsek, Sinem/0000-0002-9650-3846; Beretta, Matteo Mario/0000-0002-7026-8171; Bhatta, Somadutta/0000-0002-9045-3278; Parajuli, Santosh/0000-0003-1499-3990; Javurkova, Martina/0000-0001-8798-808X; Snyder, Scott/0000-0001-8610-8423; Hrynevich, Aliaksei/0000-0002-5411-114X; Chan, Jay/0000-0001-7069-0295; Leitgeb, Clara Elisabeth/0000-0002-0335-503X; Yang, Siqi/0000-0002-0204-984X; Yabsley, Bruce/0000-0002-2680-0474; Lazzaroni, Massimo/0000-0002-4094-1273; Iddon, James Philip/0000-0002-2851-5554; Barone, Gaetano Athanassios/0000-0001-5163-5936; Goussiou, Anna/0000-0001-6211-7122; Duperrin, Arnaud/0000-0002-5789-9825; Shah, Aashaq/0000-0002-6157-2016; Dado, Tomas/0000-0002-7050-2669; Moreno Martinez, Carlos/0000-0002-5719-7655; Butterworth, Jonathan/0000-0002-5905-5394; Gregor, Ingrid Maria/0000-0002-5976-7818; Zenz, Seth/0000-0002-9720-1794; Li, Liang/0000-0001-6411-6107; Kvam, Audrey/0000-0001-7243-0227; Affolder, Anthony/0000-0002-9058-7217; Fanti, Marcello/0000-0002-8773-145X; Escalier, Marc/0000-0003-4270-2775; Moreno Llacer, Maria/0000-0003-1113-3645; Grivaz, Jean-Francois/0000-0003-4793-7995; Chwastowski, Janusz/0000-0002-6190-8376; Pianori, Elisabetta/0000-0001-9233-5892; Li, Zhiying/0000-0001-9800-2626; Mokgatitswane, Gaogalalwe/0000-0001-9878-4373; Feligioni, Lorenzo/0000-0002-1403-0951; Lari, Tommaso/0000-0002-1388-869X; Longarini, Iacopo/0000-0002-0352-2854; Ballabene, Eric/0000-0001-9700-2587; Artoni, Giacomo/0000-0002-3477-4499; Uysal, Zekeriya/0000-0002-7110-8065; Vittori, Camilla/0000-0001-9156-970X; Lister, Alison/0000-0002-1552-3651; Yorita, Kohei/0000-0003-1988-8401; Chen, Hucheng/0000-0002-9936-0115; Bellos, Panagiotis/0000-0003-2049-9622; D'Uffizi, Matteo/0000-0003-2499-1649; Willocq, Stephane/0000-0002-4120-1453; Ince Lezki, Merve/0000-0001-6907-0195; Pizzini, Alessio/0000-0001-8891-1842; Barr, Alan/0000-0002-3533-3740; Sinha, Sukanya/0000-0002-2438-3785; Hoya, Joaquin/0000-0002-7562-0234; Mildner, Hannes/0000-0002-0384-6955; Gonella, Laura/0000-0002-4919-0808; Kowalewski, Robert/0000-0002-7314-0990; Konstantinidis, Nikolaos/0000-0002-4140-6360; Tu, Yanjun/0000-0002-5865-183X; Guerrero Rojas, Jesus/0000-0001-8487-3594; El Moussaouy, Ali/0000-0002-9669-5374; Zhang, Zhiqing/0000-0002-7853-9079; Liu, Bingxuan/0000-0002-0721-8331; Doyle, Anthony/0000-0001-6322-6195; Ernani Martins Neto, Daniel/0000-0003-2793-5335; Franklin, Melissa/0000-0002-6595-883X; Wang, Zirui/0000-0002-0928-2070; Angerami, Aaron/0000-0001-7834-8750; Vu, Ngoc Khanh/0000-0002-6251-1178; Moss, Joshua/0000-0002-6729-4803; Stupak Iii, John/0000-0001-9610-0783; Carmignani, Joseph (Joe)/0000-0002-1705-1061; Zhang, Zhicai/0000-0002-1630-0986; Weber, Michele/0000-0002-2770-9031; Munoz Sanchez, Francisca/0000-0002-6374-458X; Gonzalez Sevilla, Sergio/0000-0003-4458-9403; Chevalier, Laurent/0000-0003-3762-7264; Hopkins, Walter/0000-0001-7814-8740; Tanaka, Reisaburo/0000-0002-9929-1797; Gauzzi, Paolo/0000-0003-4841-5822; Kumar, Mukesh/0000-0003-3681-1588; Yang, Tianyi/0000-0002-4996-1924; Ryzhov, Andrey/0000-0002-0623-7426; Maniatis, Ioannis/0000-0002-4362-0088; Dziedzic, Bartosz/0000-0002-0805-9184; Cunha Sargedas Sousa, Mario Jose/0000-0001-7991-593X; Haley, Joseph/0000-0002-6938-7405; Sedlaczek, Kevin/0000-0003-2052-2386; Khwaira, Yahya/0000-0001-8538-1647; Ulloa Poblete, Pablo Augusto/0000-0002-0789-7581; Romano, Marino/0000-0002-6609-7250; Smirnov, Sergei/0000-0002-6778-073X; Monzani, Simone/0000-0002-0479-2207; Bhattarai, Prajita/0000-0001-9977-0416; Koffas, Thomas/0000-0001-9612-4988; Zhang, Shuzhou/0000-0001-9039-9809; Romain, Madar/0000-0002-6875-6408; Mlinarevic, Marin/0000-0003-3587-646X; Berger, Nicolas/0000-0002-7963-9725; Raine, John/0000-0002-5987-4648; Dell'Asta, Lidia/0000-0002-9601-4225; Lewicki, Maciej Piotr/0000-0002-8972-3066; Potti, Harish/0000-0002-0800-9902A search is performed for dark matter particles produced in association with a resonantly produced pair of b-quarks with 30 m(bb) 150 GeV using 140 fb(-1) of proton-proton collisions at a center-of-mass energy of 13 TeV recorded by the ATLAS detector at the LHC. This signature is expected in extensions of the standard model predicting the production of dark matter particles, in particular those containing a dark Higgs boson s that decays into b (b) over bar. The highly boosted s -> b (b) over bar topology is reconstructed using jet reclustering and a new identification algorithm. This search places stringent constraints across regions of the dark Higgs model parameter space that satisfy the observed relic density, excluding dark Higgs bosons with masses between 30 and 150 GeV in benchmark scenarios with Z ' mediator masses up to 4.8 TeV at 95% confidence level.CERN; NDGF (Denmark, Norway, Sweden); KIT/GridKA (Germany); INFN-CNAF (Italy); NL-T1 (Netherlands), PIC (Spain); RAL (UK); BNL (USA); ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW; FWF, Austria; ANAS; CNPq; FAPESP, Brazil; NSERC; CFI, Canada; MOST; 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; MNiSW, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; Wallenberg Foundation, Sweden; SNSF; NSTC, Taipei; STFC/UKRI, United Kingdom; DOE; NSF; BCKDF; CANARIE; CRC; DRAC, Canada; FORTE; PRIMUS, Czech Republic; ERC; ERDF; Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex; ANR, France; DFG; AvH Foundation, Germany; Thales - 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, UMO-2022/47/O/ST2/00148, UMO-2023/49/B/ST2/04085]; La Caixa Banking Foundation; CERCA Programme Generalitat de Catalunya; PROMETEO; Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society [NIF-R1-231091]; Leverhulme Trust, United Kingdom; CERN: European Organization for Nuclear Research (CERN PJAS); Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT) [1190886]; FONDECYT [1230987]; China: Chinese Ministry of Science and Technology [MOST-2023YFA1605700, MOST-2023YFA1609300]; National Natural Science Foundation of China [NSFC-12175119, NSFC 12275265, NSFC-12075060]; Czech Republic: Czech Science Foundation [GACR-24-11373S]; Ministry of Education Youth and Sports [FORTE CZ.02.01.01/00/22_008/0004632]; PRIMUS Research Programme [PRIMUS/21/SCI/017]; EU [ERC-101002463]; European Union: European Research Council [ERC-948254, ERC 101089007, MUCCA-CHIST-ERA-19-XAI-00]; European Union [FAIR-NextGenerationEU PE00000013]; France: Agence Nationale de la Recherche [ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21-CE31-0022, ANR-22-EDIR-0002]; Investissements d'Avenir Labex; Germany: Baden-Wurttemberg Stiftung; Deutsche Forschungsgemeinschaft [DFG-469666862]; Ministero dell'Universita e della Ricerca; Japan Society for the Promotion of Science (JSPS KAKENHI) [JP21H05085, JP22H01227, JP22H04944, JP22KK0227, NWO Veni 2020-VI]; Norway: Research Council of Norway [RCN-314472]; Ministry of Science and Higher Education [9722]; Polish National Agency for Academic Exchange [PPN/PPO/2020/1/00002/U/00001]; Polish National Science Centre (NCN) [2021/42/E/ST2/00350]; NCN OPUS [2022/47/B/ST2/03059]; Slovenian Research Agency [J1-3010]; Spain: Generalitat Valenciana; FEDER [IDIFEDER/2018/048]; Ministry of Science and Innovation [NextGenEU PCI2022-135018-2]; MICIN FEDER [PID2021-125273NB, RYC2019-028510-I, RYC2020-030254-I, RYC2021-031273-I, RYC2022-038164-I]; GenT Programmes Generalitat Valenciana [CIDEGENT/2019/023, CIDEGENT/2019/027]; Carl Trygger Foundation; Swedish Research Council (Swedish Research Council) [2023-04654, VR 2018-00482, VR 2022-03845, VR 2022-04683, VR 2023-03403, 2021-03651]; Knut and Alice Wallenberg Foundation [KAW 2018.0157, KAW 2018.0458, KAW 2019.0447]; Swiss National Science Foundation [SNSF-PCEFP2_194658]; United Kingdom: Leverhulme Trust (Leverhulme Trust) [RPG-2020-004]; United States of America; Neubauer Family FoundationWe thank CERN for the very successful operation of the LHC and its injectors, as well as the support staff at CERN and at our institutions worldwide without whom ATLAS could not be operated efficiently. 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. [60]. 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; MNiSW, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARIS and MVZI, Slovenia; DSI/NRF, South Africa; MICIU/AEI, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF, and Cantons of Bern and Geneva, Switzerland; NSTC, Taipei; TENMAK, Turkiye; STFC/UKRI, United Kingdom; and DOE and NSF, United States of America. Individual groups and members have received support from BCKDF, CANARIE, CRC, and DRAC, Canada; CERNCZ, FORTE, and PRIMUS, 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; and The Royal Society and Leverhulme Trust, United Kingdom. In addition, individual members wish to acknowledge support from CERN: European Organization for Nuclear Research (CERN PJAS); Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT 1190886, FONDECYT 1230812, FONDECYT 1230987); China: Chinese Ministry of Science and Technology (MOST-2023YFA1605700, MOST-2023YFA1609300), National Natural Science Foundation of China (NSFC-12175119, NSFC 12275265, NSFC-12075060); Czech Republic: Czech Science Foundation (GACR-24-11373S), Ministry of Education Youth and Sports (FORTE CZ.02.01. 01/00/22_008/0004632), PRIMUS Research Programme (PRIMUS/21/SCI/017); EU: H2020 European Research Council (ERC-101002463); European Union: European Research Council (ERC-948254, ERC 101089007), Horizon 2020 Framework Programme (MUCCA-CHIST-ERA-19-XAI-00), European Union, Future Artificial Intelligence Research (FAIR-NextGenerationEU PE00000013), Italian Center for High Performance Computing, Big Data and Quantum Computing (ICSC, NextGenerationEU); France: Agence Nationale de la Recherche (ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21-CE31-0022, ANR-22-EDIR-0002), Investissements d'Avenir Labex (ANR-11-LABX-0012); Germany: Baden-Wurttemberg Stiftung (BW Stiftung-Postdoc Eliteprogramme), Deutsche Forschungsgemeinschaft (DFG-469666862, DFG-CR 312/5-2); Italy: Istituto Nazionale di Fisica Nucleare (ICSC, NextGenerationEU), Ministero dell'Universita e della Ricerca (PRIN-20223N7F8K-PNRR M4.C2.1.1); Japan: Japan Society for the Promotion of Science (JSPS KAKENHI JP21H05085, JSPS KAKENHI JP22H01227, JSPS KAKENHI JP22H04944, JSPS KAKENHI JP22KK0227); Netherlands: Netherlands Organisation for Scientific Research (NWO Veni 2020-VI.Veni.202.179); Norway: Research Council of Norway (RCN-314472); Poland: Ministry of Science and Higher Education (IDUB AGH, POB8, D4 no 9722), Polish National Agency for Academic Exchange (PPN/PPO/2020/1/00002/U/00001), Polish National Science Centre (NCN 2021/42/E/ST2/00350, NCN OPUS nr 2022/47/B/ST2/03059, NCN UMO-2019/34/E/ST2/00393, NCN ; H2020 MSCA 945339, UMO-2020/37/B/ST2/01043, UMO-2021/40/C/ST2/00187, UMO-2022/47/O/ST2/00148, UMO-2023/49/B/ST2/04085); Slovenia: Slovenian Research Agency (ARIS grant J1-3010); Spain: Generalitat Valenciana (Artemisa, FEDER, IDIFEDER/2018/048), Ministry of Science and Innovation (MCIN ; NextGenEU PCI2022-135018-2, MICIN ; FEDER PID2021-125273NB, RYC2019-028510-I, RYC2020-030254-I, RYC2021-031273-I, RYC2022-038164-I), PROMETEO and GenT Programmes Generalitat Valenciana (CIDEGENT/2019/023, CIDEGENT/2019/027); Sweden: Carl Trygger Foundation (Carl Trygger Foundation CTS 22:2312), Swedish Research Council (Swedish Research Council 2023-04654, VR 2018-00482, VR 2022-03845, VR 2022-04683, VR 2023-03403, VR grant 2021-03651), Knut and Alice Wallenberg Foundation (KAW 2018.0157, KAW 2018.0458, KAW 2019.0447, KAW 2022.0358); Switzerland: Swiss National Science Foundation (SNSF-PCEFP2_194658); United Kingdom: Leverhulme Trust (Leverhulme Trust RPG-2020-004), Royal Society (NIF-R1-231091); and United States of America: U.S. Department of Energy (ECA DE-AC02-76SF00515), Neubauer Family Foundation
Idiopathic Granulomatous Mastitis: Tnfi Effectivity in a Retrospective Inception Cohort
No full textAlbayrak, Fatih/0000-0002-6052-3896; Ekin, Ali/0000-0003-3692-1293ObjectivesIdiopathic granulomatous mastitis is a rare, chronic, inflammatory breast disease that can mimic breast carcinoma. Histologicaly there are giant cells and epitheloid histiocytes forming non-caseating granulomas. Corticosteroids, methotrexate, azathioprine, intralesional corticosteroid injection can be used as the first step drugs in the treatment of patients with Idiopathic granulomatous mastitis, but the next step is unclear in a group of patients who are resistant to these treatments. Many of these patients also undergo unnecessary surgical interventions. Tumor necrosis factor-alpha (TNF-alpha) plays a role in maintaining the granuloma structure. There is few case reports and very limited data in the literature regarding TNF-alpha inhibitor treatment in resistant patients. Our aim is to show that TNF-alpha inhibitors may be an alternative for refractory patients in the treatment of idiopathic granulomatous mastitis.MethodsThe data of 25 female patients with idiopathic granulomatous mastitis who were refractory to conventional therapies and started TNF-alpha inhibitors were retrospectively analyzed. Pre- and post-treatment M scores of the patients were calculated.ResultsWe observed that the M-scores of our patients decreased as the duration of TNF-alpha inhibitors use increased.ConclusionOur study contains the largest number of patients with data on the use of TNF-alpha inhibitors in the treatment of idiopathic granulomatous mastitis. We believe that our study will contribute to the development of idiopathic granulomatous mastitis treatment algorithms.Key Points center dot TNF-alpha inhibitors may be an alternative for refractory patients in the treatment of idiopathic granulomatous mastitis.ConclusionOur study contains the largest number of patients with data on the use of TNF-alpha inhibitors in the treatment of idiopathic granulomatous mastitis. We believe that our study will contribute to the development of idiopathic granulomatous mastitis treatment algorithms.Key Points center dot TNF-alpha inhibitors may be an alternative for refractory patients in the treatment of idiopathic granulomatous mastitis
Multi-Agent Rl for Sleep Mode and Antenna Configuration With User Offloading Under Dynamic Traffic in Massive MIMO Networks
No full textIn this paper, we focus on minimizing the total energy consumption of multi-cell massive multiple-input multiple-output (MIMO) networks while simultaneously guaranteeing user quality of service (QoS). This is achieved by optimizing the multi-level advanced sleep modes (ASM), antenna switching, and user association of the base stations (BSs). Due to the interdependence of user association and inter-cell interference in the network, collaborative efforts among individual BSs become imperative. The problem is modeled as a decentralized partially observable Markov decision process (DEC-POMDP) and a multi-agent proximal policy optimization (MAPPO) algorithm is proposed to obtain a collaborative BS control policy. Simulation results demonstrate that the obtained policy can significantly improve network energy efficiency, adaptively switch the BSs into different depths of sleep, reduce inter-cell interference, and maintain good QoS compared to the two benchmark algorithms. The results also validate that enabling user offloading among BSs can improve both user QoS and system performance. The superiority of MAPPO is further affirmed by comparing it with the single-agent deep Q network (DQN) algorithm.Thiswork was supported by Swedish Vinnova under the Eureka Celtic Next ProjectsAI4Green and RAI6Green. This work was performed while Shuai Zhang waswith the KTH Royal Institute of Technology.Swedish Vinnova under the Eureka Celtic Next Projects AI4Green and RAI6Gree
Flower-Like Nanoscale Ni(OH)2/MnCo3 Electrocatalyst for Efficient Hydrogen Evolution Reaction in Wide Ph Range
No full textDuran Durmus, Hatice/0000-0001-6203-3906It is indispensable to develop efficient and cost-effective electrocatalysts, especially those that can work in a wide pH range for the HER (hydrogen evolution reaction) and OER (oxygen evolution reaction). In this study, we have devised a hydrothermal one-pot method for the production of Ni(OH)2/MnCO3 composite nanosheets on nickel foam having close resemblance with flowers. The electrocatalyst exhibited appreciable performance for HER with a minimum overpotential of-60 m V and-120 mV in acidic and alkaline media respectively, to deliver 10 mA cm- 2 current density. Tafel slope of 38 mV dec-1 (in acidic) and 112 mV dec-1 (in alkaline) medium under a limited potential range of 0 to-0.1 V was observed. The significant performance of such a hybrid system can be attributed to thin sheet morphology, the mutual support of Ni(OH)2 and Mn(CO3)2, and possible generation of active sites at the interface and may contribute to the electrochemically active surface area i.e. 350 cm2 (acidic) 190 cm2 (alkaline). This study presents a novel approach to pave the way for advanced self-supported nanoscale materials to boost HER in both acidic and alkaline environments