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Effects of Supplemental Hybrid Bacterial 6-Phytase in Low-Energy, Inorganic Phosphorus-Free Hen Diets on Laying Performance, Egg Quality, and Bone Strength
No full textA 22-week trial was conducted to assess the effects of replacing inorganic phosphorus (P) with two levels of a hybrid bacterial 6-phytase in low-energy diets for laying hens, from 23 to 44 weeks of age. The study focused on hen performance, egg quality and bone health of laying hens. For this purpose, Lohmann Brown Classic hens (n = 432) were randomly allocated to four dietary groups, each comprising nine replicates of 12 birds. The groups included: (1) positive control (PC), a standard diet containing 3.7% calcium, 0.38% non-phytate phosphorus (nPP) and 2730 kcal/kg metabolizable energy (ME), (2) negative control (NC), a diet similar in nutritional specifications to the PC but with reduced nPP (0.12%) and ME (2630 kcal/kg), (3) NC300 and (4) NC600, where NC diets were supplemented with 300 and 600 phytase unit (FTU) per kg feed, respectively. All diets were provided as mash and formulated using corn, soybean meal and sunflower meal as the main ingredients. The NC diet significantly impaired hen performance compared to the PC diet (p 0.05). Specifically, the NC diet led to deterioration in egg production (p 0.001), egg weight (p = 0.001), egg mass (p 0.001), feed intake (p 0.001), feed conversion ratio (p = 0.002), body weight (p 0.001), and livability (p = 0.036). Additionally, the NC diet increased the incidence of cracked (p 0.001) and shell-less eggs (p 0.001) and lowered eggshell breaking strength (p = 0.005). Bone health was also adversely affected by the NC diet, as indicated by reduced tibia ash content (p 0.001), stiffness (p = 0.005), and maximum load-bearing capacity (p = 0.040). Moreover, with NC diet, there was a decrease in osteoprotegerin (OPG) expression (p 0.001) and an increase in receptor activator of nuclear factor kappa-B ligand (RANKL) expression (p 0.001) in tibia, resulting in a greater RANKL/OPG ratio (p 0.001). Supplementing the NC diet with bacterial 6-phytase at both levels (300 and 600 FTU/kg) effectively mitigated all adverse effects of P and ME deficiency on the aforementioned parameters, bringing them to levels comparable to those of the PC. Notably, the 600 FTU/kg supplementation provided slightly better results in terms of egg weight and eggshell breaking strength than the 300 FTU/kg level. Overall, this study suggests that supplementing the hybrid bacterial 6-phytase (300-600 FTU/kg) to P-deficient (0.12% nPP) and low energy (-100 kcal/kg) diets can fully replace inorganic P without compromising laying performance, egg quality, or bone health. Further research is recommended to determine the optimal levels of hybrid bacterial 6-phytase in P-deficient diets for laying hens throughout laying cycle of the birds with other nutrient matrices (energy, amino acids, calcium) to optimize layer feed formulations.Ankara University and BASF SE. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ankara University; BASF S
Cutaneous Immune Cell Levels in Patients With Hard-To Wounds After Maggot Therapy and Surgical Debridement Therapy
No full textObjective: This study aimed to investigate and compare the effects of maggot therapy (MT) and surgical debridement therapy (SDT) on the inflammatory phase of healing, a phase which does not favour tissue regeneration in hard-to-heal wounds. Method: SDT was performed in sterile operating theatre conditions. MT was applied with a dose of 5-7 maggots/cm(2). The levels of neutrophils, macrophages, M1 cells, M2 cells, T-cells and B-cells were analysed by using flow cytometry analysis which was performed on wound biopsy samples collected from hard-to-heal foot ulcers in patients with diabetes before and after either SDT or MT. Results: The experimental cohort comprised 25 patients. Patients in the MT group (n=13) demonstrated a shorter time to complete debridement, required fewer debridement sessions and had a higher rate of complete recovery than patients in the SDT group (n=12). Both therapies were able to reduce neutrophil, macrophage and M1 cell levels, and to elevate M2 cell, T-cell and B-cell frequencies. Statistically significantly higher variations were reported after MT than after SDT in neutrophil, M2 cell, T-cell and B-cell counts. Conclusion: The higher cell numbers detected in the MT group could be associated with an increased healing rate and reduced debridement time in comparison with SDT. MT not only debrided the wound effectively, but also positively influenced wound healing through its effect on the inflammatory process. Declaration of interest: Selcuk University Scientific Research Projects Coordination Unit, Konya, Turkey supported this study financially (grant number: 21401077). The authors have no conflicts of interest.Selcuk University Scientific Research Projects Coordination Unit, Konya, Turkey [21401077]Acknowledgements The authors thank Thorvacs, Ankara, Turkey for technical support and Selcuk University Scientific Research Projects Coordination Unit, Konya, Turkey for financial funding (grant number: 21401077)
Does Health Reform Reduce Inequalities?: Primary Healthcare Utilization of Young Children in Turkey
No full textWe investigate whether the family medicine system introduced as part of the Turkish Health Transformation Programme immediately equalized utilization of health services between young children from low-and high-resource households. Using difference-in-differences analysis, we compare the change in service utilization over time between the two groups of children, using official nationally representative microdata from the Health Research Surveys in 2008, 2010, and 2012. Overall, the effect of the reform depends on the measure of utilization. Considering ‘being taken to a health institution’ as the measure, we find no evidence for a positive differential effect on children from low-resource households. On the other hand, considering ‘being taken to a health institution when not sick’, the reform benefited children from lower-resource households more than it benefited better-off children. The evidence for having new-born screening is weak. Regarding the utilization of family health centres, we find no evidence for a positive differential effect for lower-resource households. © 2025 selection and editorial matter, Dilek Başar and Selcen Öztürk
Measurement of the Top Quark Mass with the ATLAS Detector Using T(t)over-Bar Events with a High Transverse Momentum Top Quark
No full textPrice, Darren/0000-0003-2750-9977; Beau, Tristan/0000-0002-2022-2140; Worm, Steven/0000-0002-3865-4996; Fernandez Barbadillo, Beltran/0009-0001-1738-7729; Fox, Harald/0000-0003-3089-6090; Longo, Riccardo/0000-0003-3984-6452; Wharton, Andrew/0000-0002-9507-1869; Hagan, Alina Isobel/0000-0002-2079-4739; Smirnova, Oxana/0000-0003-2517-531X; Carmignani, Joseph (Joe)/0000-0002-1705-1061; Rompotis, Nikolaos/0000-0003-2577-1875; Cristoforetti, Marco/0000-0002-0127-1342; Beck, Hans Peter/0000-0001-7212-1096; Alimonti, Gianluca/0000-0002-7128-9046; Hoppesch, Matthew/0000-0002-7773-3654; Novak, Tadej/0000-0002-3053-0913; Haley, Joseph/0000-0002-6938-7405; Kretzschmar, Jan/0000-0002-8515-1355; Lacasta, Carlos/0000-0002-2623-6252; Pleier, Marc-Andre/0000-0002-9461-3494; Berta, Peter/0000-0003-0780-0345; Kartvelishvili, Vakhtang/0000-0002-1957-3787; Barton, Adam/0000-0001-9696-9497; Stark, Giordon/0000-0001-6616-3433; Islam, Wasikul/0000-0002-5624-5934; Bouhova-Thacker, Evelina/0000-0002-5103-1558; Mcelhinney, Luke/0000-0001-7646-4504; Koch, Simon Florian/0000-0002-2676-2842; Juzek, Monika/0000-0002-7269-9194; Gwilliam, Carl/0000-0002-9401-5304; Bahmani, Marzieh/0000-0003-4173-0926; Meng, Lingxin/0000-0002-2901-6589; Borissov, Guennadi/0000-0002-4226-9521; Di Luca, Andrea/0000-0002-9074-2133; Kumar, Mukesh/0000-0003-3681-1588; Martinez-Agullo, Pablo/0000-0001-8925-9518; Jones, Roger/0000-0002-6427-3513;The mass of the top quark is measured using top-quark-top-antiquark pair events with high transverse momentum top quarks. The dataset, collected with the ATLAS detector in proton-proton collisions at root s = 13 TeV delivered by the Large Hadron Collider, corresponds to an integrated luminosity of 140 fb(-1). The analysis targets events in the lepton-plus-jets decay channel, with an electron or muon from a semi-leptonically decaying top quark and a hadronically decaying top quark that is sufficiently energetic to be reconstructed as a single large-radius jet. The mean of the invariant mass of the reconstructed large-radius jet provides the sensitivity to the top quark mass and is simultaneously fitted with two additional observables to reduce the impact of the systematic uncertainties. The top quark mass is measured to be m(t) = 172.95 +/- 0.53 GeV, which is the most precise ATLAS measurement from a single channel.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; 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 cofinanced 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 Stiftelser, 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 DOCT); 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 (ERC-CZ-LL2327, 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, ERC, BARD, 101116429), Horizon 2020 Framework Programme (MUCCA - CHIST-ERA-19-XAI00), European Union, Future Artificial Intelligence Research (FAIRNextGenerationEU PE00000013), Italian Center for High Performance Computing, Big Data and Quantum Computing (ICSC, NextGenerationEU); France: Agence Nationale de la Recherche (ANR-20-CE310013, 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 (NextGenEU PRIN20223N7F8K M4C2.1.1); Japan: Japan Society for the Promotion of Science (JSPS KAKENHI JP22H01227, JSPS KAKENHI JP22H04944, JSPS KAKENHI JP22KK0227, JSPS KAKENHI JP23KK0245); Norway: Research Council of Norway (RCN-314472); Poland: Ministry of Science and Higher Education (IDUB AGH, POB8, D4 no 9722), 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, UMO-2020/37/B/ST2/01043, UMO-2022/47/O/ST2/00148, UMO-2023/49/B/ST2/04085, UMO-2023/51/B/ST2/00920); Portugal: Foundation for Science and Technology (FCT); Spain: Generalitat Valenciana (Artemisa, FEDER, IDIFEDER/2018/048), Ministry of Science and Innovation (MCIN ; NextGenEU PCI2022-1350182, MICIN ; FEDER PID2021-125273NB, RYC2019-028510I, 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 2021-03651, VR 2022-03845, VR 2022-04683, VR 2023-03403), 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 (NIFR1-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 Foundatio
Search for Supersymmetry in Final States with Missing Transverse Momentum and Charm-Tagged Jets Using 139 fb-1 of proton-proton Collisions at √s=13 TeV with the ATLAS Detector
No full textCheong, Sanha/0000-0002-2797-6383; Camarda, Stefano/0000-0003-0479-7689; Redlinger, George/0000-0002-6437-9991; Dinu, Ioan-Mihail/0000-0002-2683-7349; Koffas, Thomas/0000-0001-9612-4988; Petersen, Troels/0000-0003-0221-3037; Affolder, Anthony/0000-0002-9058-7217; Varvell, Kevin/0000-0003-1017-1295; Chwastowski, Janusz/0000-0002-6190-8376; Moser, Brian/0000-0001-6750-5060; Beretta, Matteo Mario/0000-0002-7026-8171; Warburton, Andreas/0000-0002-2298-7315; Hoppesch, Matthew/0000-0002-7773-3654; Umaka, Ejiro/0000-0001-7725-8227; Chu, Ming-Chung/0000-0002-1971-0403; Chan, Jay/0000-0001-7069-0295; Meloni, Federico/0000-0001-7075-2214; Yabsley, Bruce/0000-0002-2680-0474; Ghosh, Aishik/0000-0003-0819-1553; Aad, Georges/0000-0002-6665-4934; Ernani Martins Neto, Daniel/0000-0003-2793-5335; Carmignani, Joseph (Joe)/0000-0002-1705-1061; Lebedev, Alexandre/0000-0002-9566-1850; Doglioni, Caterina/0000-0002-1509-0390; Mitsou, Vasiliki A./0000-0002-1533-8886; Angerami, Aaron/0000-0001-7834-8750; Stark, Giordon/0000-0001-6616-3433; Camplani, Alessandra/0000-0002-6386-9788; Zhang, Yulei/0000-0001-6274-7714; Rompotis, Nikolaos/0000-0003-2577-1875; Panizzo, Giancarlo/0000-0002-0352-4833; Onyisi, Peter/0000-0003-4201-7997; White, Martin/0000-0001-5474-4580; Gwilliam, Carl/0000-0002-9401-5304; Leblanc, Matt/0000-0001-5977-6418; Jia, Jiangyong/0000-0002-5725-3397; Vecchio, Valentina/0000-0002-1351-6757; Islam, Wasikul/0000-0002-5624-5934; Bona, Marcella/0000-0002-9660-580X; Das, Sruthy Jyothi/0000-0003-2693-3389; Volkotrub, Yuriy/0000-0002-3114-3798; Kowalewski, Robert/0000-0002-7314-0990; Jackson, Paul/0000-0002-0847-402X; Sadrozinski, Hartmut/0000-0003-0019-5410; Kretzschmar, Jan/0000-0002-8515-1355The paper presents a search for supersymmetric particles produced in proton-proton collisions at root s = 13TeV and decaying into final states with missing transverse momentum and jets originating from charm quarks. The data were taken with the ATLAS detector at the Large Hadron Collider at CERN from 2015 to 2018 and correspond to an integrated luminosity of 139 fb(-1). No significant excess of events over the expected Standard Model background expectation is observed in optimized signal regions, and limits are set on the production cross-sections of the supersymmetric particles. Pair production of charm squarks or top squarks, each decaying into a charm quark and the lightest supersymmetric particle (chi) over tilde (0)(1), is excluded at 95% confidence level for squarks with masses up to 900 GeV for scenarios where the mass of (chi) over tilde (0)(1) is below 50 GeV. Additionally, the production of leptoquarks with masses up to 900 GeV is excluded for the scenario where up-type leptoquarks decay into a charm quark and a neutrino. Model-independent limits on cross-sections and event yields for processes beyond the Standard Model are also reported.NDGF (Denmark, Norway, Sweden); KIT/GridKA (Germany); INFN-CNAF (Italy); NL-T1; BNL (U.S.A.); 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; MNiSW, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; SRC; Wallenberg Foundation, Sweden; SNSF and Cantons of Bern and Geneva, Switzerland; NSTC, Taipei; STFC/UKRI, United Kingdom; DOE; NSF, United States of America; 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 - EU-ESF; Greek NSRF, Greece; BSF-NSF; NCN; La Caixa Banking Foundation; CERCA Programme Generalitat de Catalunya; PROMETEO [CIDEGENT/2019/023, CIDEGENT/2019/027]; Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society [NIF-R1-231091, ECA DE-AC02-76SF00515]; 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; 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, 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, DFG - CR 312/5-2]; Ministero dell'Universita e della Ricerca; Japan Society for the Promotion of Science (JSPS KAKENHI) [JP21H05085, JP22H01227, JP22H04944, JP22KK0227, RCN-314472]; 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, UMO-2020/37/B/ST2/01043, UMO-2021/40/C/ST2/00187, UMO-2022/47/O/ST2/00148, UMO-2023/49/B/ST2/04085]; Slovenian Research Agency [J1-3010]; Spain: Generalitat Valenciana [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]; 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, SNSF -PCEFP2_194658]; United Kingdom: Leverhulme Trust (Leverhulme Trust) [RPG-2020-004]; Neubauer Family FoundationThe 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 (U.K.) and BNL (U.S.A.), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in ref. [97]. 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; 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; 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 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); United States of America: U.S. Department of Energy (ECA DE-AC02-76SF00515), Neubauer Family Foundation
Evidence for Longitudinally Polarized W Bosons in the Electroweak Production of Same-Sign W Boson Pairs in Association with Two Jets in Pp Collisions at Sqrt[S]=13 TeV with the ATLAS Detector
No full textThis Letter reports the first evidence of electroweak production of same-sign W boson pairs where at least one of the W bosons is longitudinally polarized and the most stringent constraint to date for the production of two longitudinally polarized same-sign W bosons. The dataset used corresponds to an integrated luminosity of 140 fb^{-1} of proton-proton collisions at a center-of-mass energy of 13 TeV, collected with the ATLAS detector during run 2 of the Large Hadron Collider. The study is performed in final states including two same-sign leptons (electrons or muons), missing transverse momentum, and at least two jets with a large invariant mass and a large rapidity difference. Two independent fits are performed targeting the production of same-sign W bosons with at least one, or two longitudinally polarized W bosons. The observed (expected) significance of the production with at least one longitudinally polarized W boson is 3.3 (4.0) standard deviations. An observed (expected) 95% confidence level upper limit of 0.45 (0.70) fb is reported on the fiducial production cross section of two longitudinally polarized same-sign W bosons. This record is sourced from MEDLINE/PubMed, a database of the U.S. National Library of Medicin
Search for Long-Lived Charged Particles Using Large Specific Ionisation Loss and Time of Flight in 140 fb-1 of pp Collisions at √s=13 Tev With the ATLAS Detector
No full textButterworth, Jonathan/0000-0002-5905-5394; Smirnova, Oxana/0000-0003-2517-531X; Winter, Benedict Tobias/0000-0001-9606-7688; Jia, Jiangyong/0000-0002-5725-3397; Fox, Harald/0000-0003-3089-6090; Mckee, Shawn/0000-0002-4551-4502; Kretzschmar, Jan/0000-0002-8515-1355; Bouhova-Thacker, Evelina/0000-0002-5103-1558; Terzo, Stefano/0000-0003-3388-3906; Meloni, Federico/0000-0001-7075-2214;This paper presents a search for massive, charged, long-lived particles with the ATLAS detector at the Large Hadron Collider using an integrated luminosity of 140 fb(-1) of proton-proton collisions at root s = 13 TeV. These particles are expected to move significantly slower than the speed of light. In this paper, two signal regions provide complementary sensitivity. In one region, events are selected with at least one charged-particle track with high transverse momentum, large specific ionisation measured in the pixel detector, and time of flight to the hadronic calorimeter inconsistent with the speed of light. In the other region, events are selected with at least two tracks of opposite charge which both have a high transverse momentum and an anomalously large specific ionisation. The search is sensitive to particles with lifetimes greater than about 3 ns with masses ranging from 200 GeV to 3 TeV. The results are interpreted to set constraints on the supersymmetric pair production of long-lived R-hadrons, charginos and staus, with mass limits extending beyond those from previous searches in broad ranges of lifetime.CERN; NDGF (Denmark, Norway, Sweden); KIT/GridKA (Germany); INFN-CNAF (Italy); NL-T1; BNL (U.S.A.); 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; ICHEP; Academy of Sciences and Humanities, Israel; INFN, Italy; MEXT; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW, Poland; FCT, Portugal; MNE/IFA, Romania; MSSR, Slovakia; Wallenberg Foundation, Sweden; SNSF and Cantons of Bern and Geneva, Switzerland; NSTC, Taipei; STFC/UKRI, United Kingdom; DOE; NSF, United States of America; BCKDF; CANARIE; CRC; DRAC, Canada; FORTE [CZ.02.01.01/00/22_008/0004632]; PRIMUS, Czech Republic; ERC [101116429, MUCCA - CHIST-ERA-19-XAI-00]; 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, UMO-2022/47/O/ST2/00148, UMO-2023/49/B/ST2/04085, UMO-2023/51/B/ST2/00920]; 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; Armenia: Yerevan Physics Institute (FAPERJ); CERN: European Organization for Nuclear Research; Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT) [1230812]; FONDECYT [1240864]; China: Chinese Ministry of Science and Technology [MOST-2023YFA1605700, MOST-2023YFA1609300]; National Natural Science Foundation of China [NSFC -12175119, NSFC 12275265, NSFC12075060]; Czech Republic: Czech Science Foundation; Ministry of Education Youth and Sports [ERC-CZ-LL2327]; PRIMUS Research Programme [PRIMUS/21/SCI/017]; EU [ERC -101002463]; European Union: European Research Council [ERC -9 48254, 101089007]; European Union [FAIR-NextGenerationEU PE00000013]; France: Agence Nationale de la Recherche [ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21-CE31-0022]; Germany: Baden-Wurttemberg Stiftung; Deutsche Forschungsgemeinschaft [DFG -469666862]; Ministero dell'Universita e della Ricerca [I53D23000820006 M4C2.1.1]; Japan Society for the Promotion of Science (JSPS KAKENHI) [JP22H01227, JP22H04944, JP22KK0227, JP23KK0245, RCN-314472, 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]; Spain: Generalitat Valenciana [IDIFEDER/2018/048, NextGenEU PCI2022-135018-2]; FEDER [PID2021-125273NB, RYC2019-028510-I, RYC2020-030254-I, RYC2021-031273-I]; Swedish Research Council (Swedish Research Council) [2023-04654, VR 2018-00482, VR 2021-03651, VR 2022-03845, VR 2022-04683, VR 2023-03403]; Knut and Alice Wallenberg Foundation [KAW 2018.0458, KAW 2019.0447, SNSF - PCEFP2_194658]; United Kingdom: Leverhulme Trust (Leverhulme Trust) [RPG-2020-004]; United States of AmericaWe 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 (U.K.) and BNL (U.S.A.), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in ref. [95]. 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; 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 DOCT); 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, NSFC12075060); Czech Republic: Czech Science Foundation (GACR -24-11373S), Ministry of Education Youth and Sports (ERC-CZ-LL2327, 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 -9 48254, ERC 101089007, ERC, BARD, 101116429), 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); Germany: Baden-Wurttemberg Stiftung (BW StiftungPostdoc Eliteprogramme), Deutsche Forschungsgemeinschaft (DFG -469666862, DFG -CR 312/5-2); Italy: Istituto Nazionale di Fisica Nucleare (ICSC, NextGenerationEU), Ministero dell'Universita e della Ricerca (NextGenEU I53D23000820006 M4C2.1.1); Japan: Japan Society for the Promotion of Science (JSPS KAKENHI JP22H01227, JSPS KAKENHI JP22H04944, JSPS KAKENHI JP22KK0227, JSPS KAKENHI JP23KK0245); 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, 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); Portugal: Foundation for Science and Technology (FCT); 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); Sweden: Carl Trygger Foundation (Carl Trygger Foundation CTS 22:2312), Swedish Research Council (Swedish Research Council 2023-04654, VR 2018-00482, VR 2021-03651, VR 2022-03845, VR 2022-04683, VR 2023-03403), 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
Exploring the Influence of Vitamin C Concentrations on the Dynamics of RT-PCR Assay Reactions
No full textSharafi, Parisa/0000-0002-7400-4851The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that caused the COVID-19 pandemic to break out touched off a global health catastrophe characterized by various degrees of disease severity among those who were afflicted. Many strategies, such as vitamin C administration, have been investigated to reduce COVID-19 symptoms. Although the exact processes by which vitamin C affects COVID-19 remain unclear, noticeable changes in PCR test results were noted in our laboratory settings. This study uses PCR analysis to investigate the effects of varying vitamin C dosages and durations on COVID-19 test results. PCR cycle threshold (Ct) values were used to categorize nasopharyngeal tissues from 98 patients (Ct 30, Ct >= 30, negative). Vitamin C was applied at different concentrations (0, 1, 10, 50, and 100 mg/ml), and PCR analyses were carried out at 1, 10, 24, and 48 h marks after the vitamin was applied. Particularly in samples with lower Ct values, the data showed significant changes in the reaction graphs and metrics with increasing vitamin C concentration. Higher concentrations of vitamin C were correlated with diminished metrics, occasionally leading to negative results for samples with Ct >= 30 values. Notably, samples that showed no discernible viral loads had different pictorial representations. These results raise questions regarding the reliability of PCR results in the presence of vitamin C intake and have implications for COVID-19 diagnosis. In light of the current pandemic, more studies are necessary to confirm and expand these findings and provide a critical understanding of clinical procedures and the interpretation of test results.The study was supported financially by TOBB Economy and Technology University Hospital.TOBB Economy and Technology University Hospita
Total Cost of Ownership and Evaluation of Google Cloud Resources for the ATLAS Experiment at the LHC
No full textThe ATLAS Google Project was established as part of an ongoing evaluation of the use of commercial clouds by the ATLAS Collaboration, in anticipation of the potential future adoption of such resources by WLCG grid sites to fulfil or complement their computing pledges. Seamless integration of Google cloud resources into the worldwide ATLAS distributed computing infrastructure was achieved at large scale and for an extended period of time, and hence cloud resources are shown to be an effective mechanism to provide additional, flexible computing capacity to ATLAS. For the first time a total cost of ownership analysis has been performed, to identify the dominant cost drivers and explore effective mechanisms for cost control. Network usage significantly impacts the costs of certain ATLAS workflows, underscoring the importance of implementing such mechanisms. Resource bursting has been successfully demonstrated, whilst exposing the true cost of this type of activity. A follow-up to the project is underway to investigate methods for improving the integration of cloud resources in data-intensive distributed computing environments and reducing costs related to network connectivity, which represents the primary expense when extensively utilising cloud resources. © 2025 Elsevier B.V., All rights reserved
Opposition's Paradox of Victory: Electoral Success and Authoritarian Retrenchment in Turkey
No full textThis study examines the transformation of Turkey's opposition politics between the May 2023 presidential and parliamentary elections and the 2024 local elections. Following the ruling party's victory in 2023, political capital within the opposition shifted from formal party structures to influential metropolitan mayors operating outside party hierarchies. This trend, reinforced by the local election successes of Ekrem ; Idot;mamo ; gbreve;lu and Mansur Yava ; scedil;, challenged President Erdo ; gbreve;an's preferred model in which strong party institutions sidelined prominent mayors, as before the last presidential race. The opposition's 2023 defeat revealed the limitations of a party-centred strategy in confronting incumbents, weakening institutional control and enabling mayoral figures to emerge as potential presidential contenders. The paper analyzes this decline of party dominance, the rise of mayoral autonomy, and Erdo ; gbreve;an's strategic response - marked by judicial interventions against municipalities and the CHP, including ; Idot;mamo ; gbreve;lu's imprisonment - highlighting how electoral gains paradoxically triggered authoritarian recalibration rather than democratic consolidation