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Numerical Investigation of the Greenhouse With the Floor and Other Cooling Systems
No full textThis study used computational fluid dynamics (CFD) simulations to explore the effect of the greenhouse with the floor and other cooling systems (only an evaporative cooling system, only a floor cooling system, and equipped with both cooling systems) on temperature distributions inside a greenhouse. Three scenarios were analyzed using the finite volume method and several the Realizable k-ε turbulence model offered superior accuracy compared to the Standard k-ε model in simulating temperature distributions. However, significant discrepancies were observed near the wall surfaces of the greenhouse. To address this, a radiation model was incorporated alongside the Realizable k-ε turbulence model, which improved simulation accuracy by reducing error percentages down to 2-3% and better matching experimental results. The study emphasizes the importance of using the Realizable k-ε turbulence model with the radiation model to improve the accuracy of CFD simulations for the greenhouse with the floor and other cooling systems. © 2025, Thai Society of Mechanical Engineers (TSME). All rights reserved.Graduate School, Kasetsart University; Kasetsart University Research and Development Institute, KURDI; Kasetsart University, KU; Chalermphrakiat Sakon Nakhon Province Campu
Reconstruction and Identification of Pairs of Collimated Τ-Leptons Decaying Hadronically Using √s=13 Tev Pp Collision Data with the ATLAS Detector
No full textMitsou, Vasiliki A./0000-0002-1533-8886; Rousseau, David/0000-0001-7613-8063; Kontaxakis, Pantelis/0000-0002-4860-5979; Meng, Lingxin/0000-0002-2901-6589; Carmignani, Joseph (Joe)/0000-0002-1705-1061; Barton, Adam/0000-0001-9696-9497; Cunha Sargedas Sousa, Mario Jose/0000-0001-7991-593X; Bhatta, Somadutta/0000-0002-9045-3278; Beau, Tristan/0000-0002-2022-2140; Kumar, Mukesh/0000-0003-3681-1588; Rompotis, Nikolaos/0000-0003-2577-1875; Aboulhorma, Asmaa/0000-0002-9987-2292; Hagan, Alina Isobel/0000-0002-2079-4739; Stark, Giordon/0000-0001-6616-3433; Kretzschmar, Jan/0000-0002-8515-1355; Kartvelishvili, Vakhtang/0000-0002-1957-3787; Doglioni, Caterina/0000-0002-1509-0390; Bahmani, Marzieh/0000-0003-4173-0926; Cristoforetti, Marco/0000-0002-0127-1342; Martinez-Agullo, Pablo/0000-0001-8925-9518; Stanislaus, Beojan/0000-0001-9007-7658; Muenstermann, Daniel/0000-0001-6223-2497; Klein, Lucas/0000-0002-0145-4747; Di Luca, Andrea/0000-0002-9074-2133; Gaudio, Gabriella/0000-0002-6833-0933; Smirnova, Oxana/0000-0003-2517-531X; Beck, Hans Peter/0000-0001-7212-1096; Koch, Simon Florian/0000-0002-2676-2842; Camplani, Alessandra/0000-0002-6386-9788; Novak, Tadej/0000-0002-3053-0913; Vecchio, Valentina/0000-0002-1351-6757; Manhaes De Andrade Filho, Luciano/0000-0003-1792-6793; Gwilliam, Carl/0000-0002-9401-5304; Mclean, Christine/0000-0002-7450-4805; Quinn, Ryan/0000-0002-0879-6045; Worm, Steven/0000-0002-3865-4996; Berta, Peter/0000-0003-0780-0345; Price, Darren/0000-0003-2750-9977; D'Uffizi, Matteo/0000-0003-2499-1649; Meloni, Federico/0000-0001-7075-2214; Bouhova-Thacker, Evelina/0000-0002-5103-1558; De La Torre Perez, Hector/0000-0002-4516-5269; Alimonti, Gianluca/0000-0002-7128-9046; Held, Alexander/0000-0002-8924-5885; Bruschi, Marco/0000-0002-4319-4023; Pleier, Marc-Andre/0000-0002-9461-3494; Islam, Wasikul/0000-0002-5624-5934; Jones, Roger/0000-0002-6427-3513; Hance, Michael/0000-0001-8392-0934; Dong, Qichen/0000-0002-0117-7831; Lacasta, Carlos/0000-0002-2623-6252; Martoiu, Sorin/0000-0002-4963-9441; Wharton, Andrew/0000-0002-9507-1869; Sampsonidou, Despoina/0000-0003-0384-7672; Calafiura, Paolo/0000-0002-1692-1678; Kaji, Toshiaki/0000-0002-6532-7501; Sahinsoy, Merve/0000-0002-7400-7286; Elsing, Markus/0000-0002-1213-0545; Mondal, Santu/0000-0002-6965-7380; Su, Dong/0000-0001-6980-0215; Leblanc, Matt/0000-0001-5977-6418; Mete, Alaettin Serhan/0000-0002-5508-530X; Vigl, Matthias/0000-0003-2281-3822; Fox, Harald/0000-0003-3089-6090; Munoz Sanchez, Francisca/0000-0002-6374-458X; Hoppesch, Matthew/0000-0002-7773-3654; Borissov, Guennadi/0000-0002-4226-9521; Merlassino, Claudia/0000-0002-5445-5938; Mcelhinney, Luke/0000-0001-7646-4504; Citron, Zvi/0000-0003-1831-6452;This paper describes an algorithm for reconstructing and identifying a highly collimated hadronically decaying tau-lepton pair with low transverse momentum. When two tau-leptons are highly collimated, their visible decay products might overlap, degrading the reconstruction performance for each of the tau-leptons. A dedicated treatment attempting to tag the tau-lepton pair as a single object is required. The reconstruction algorithm is based on a large radius jet and its associated two leading subjets, and the identification uses a boosted decision tree to discriminate between signatures from tau+tau- systems and those arising from QCD jets. The efficiency of the identification algorithm is measured in Z gamma events using proton-proton collision data at root s = 13 TeV collected by the ATLAS experiment at the Large Hadron Collider between 2015 and 2018, corresponding to an integrated luminosity of 139 fb(-1). The resulting data-to-simulation scale factors are close to unity with uncertainties ranging from 26 to 37%.We thankCERNfor 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), theTier-2 facilitiesworldwide and largenon-WLCGresource providers. Major contributors of computing resources are listed in Ref. [76]. 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 andMPG, Germany; GSRI, Greece; RGC and HongKong 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; 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 ofAmerica. Individual groups andmembers 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 andAvHFoundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EUESF 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, MOST2023YFA1609300), National Natural Science Foundation of China (NSFC -12175119, NSFC12275265, NSFC-12075060); Czech Republic: Czech Science Foundation (GACR -24-11373 S), 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-CE310013, 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 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, IDIFEDER/2018/048), Ministry of Science and Innovation (MCIN ; NextGenEU PCI2022-135018-2, MICIN; FEDERPID2021-125273NB, RYC2019-028510-I, RYC2020-030254-I, RYC2021-031273-I, RYC2022-038164I); 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, VR2023-03403), Knut andAliceWallenberg 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; Chile: Agencia Nacional de Investigacion y Desarrollo [FONDECYT 1190886, FONDECYT 1210400, FONDECYT 1230987]; China: National Natural Science Foundation of China [NSFC-12175119, NSFC 12275265]; European Union: European Research Council [ERC-948254]; Horizon 2020 Framework Programme [MUCCACHIST-ERA-19-XAI-00]; 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-CE310022]; Investissements d'Avenir Idex [ANR-11-LABX0012]; Investissements d'Avenir Labex [ANR-11-LABX0012]; Germany: Baden-Wurttemberg Stiftung (BW Stiftung-Postdoc Eliteprogramme), Deutsche Forschungsgemeinschaft [DFG-CR 312/5-1]; Italy: Istituto Nazionale di Fisica Nucleare (FELLINI) [754496]; Japan: Japan Society for the Promotion of Science [JSPS KAKENHI 22H01227, JSPS KAKENHI JP21H05085, JSPS KAKENHI 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]; 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]; 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 [RYC2019-028510-I, RYC2020-030254-I]; Generalitat Valenciana [CIDEGENT/2019/023, CIDEGENT/2019/027]; Sweden: Swedish Research Council [VR 202203845]; Switzerland: Swiss National Science Foundation [SNSF-PCEFP2_194658]; UK: Leverhulme Trust [RPG-2020-004]; USA: Neubauer Family Foundatio
Nonketotik Hiperglisinemi Hastalarında Genotip-Fenotip İlişkisinin Değerlendirilmesinde Etkin Mikrorna'ların Belirlenmesi
No full textNonketotik hiperglisinemi (NKH), glisin ensefalopatisi olarak bilinen otozomal resesif (OR) geçişli bir amino asit metabolizma bozukluğudur. Glisin parçalayıcı enzim kompleksindeki bozukluktan dolayı glisin vücutta birikir. Tanı beyin omurilik sıvısı (BOS) ve plazma glisin seviyelerindeki artış ile tespit edilir. NKH'de BOS/plazma glisin oranı genellikle 0,08-0.25 µmol/L'dir. BOS glisin seviyesindeki artış NKH'nin önemli bir göstergesidir ancak NKH için en güvenilir tanı yöntemi genetik analizdir. NKH'de ilk bulgular genellikle doğumda ya da ilk haftalarda meydana gelir. Glisin yüksekliği ketotik hiperglisinemi olarak adlandırılan propiyonik asidemi, metilmalonik asidemi ve beta ketothiolaz enzim eksikliğinde de görülebilmektedir. Bu hastalarda glisin yüksekliği ile ciddi asidoz ve ketozis bir aradadır. Bu duruma ketotik hiperglisinemi denilir. Ketozis, ketotik hiperglisinemide erken müdahale için uyarıcıdır. Literatürde NKH'nin ketotik hiperglisinemiden yaklaşık iki kat daha sık görüldüğü bildirilmiştir. BOS'da glisin artışı yapan bu durumlar BOS/plazma glisin oranında da yüksekliğe sebep olmaktadır. Bu durum NKH'de tanı için BOS/plazma glisin oranın yeterli bir kriter olmadığını göstermektedir ve NKH için daha spesifik bir tanı yönteminin varlığının önemini vurgulamaktadır. NKH'ye neden olan glisin parçalayıcı enzimdeki dört proteinden herhangi birindeki değişikliklerden kaynaklanan biyokimyasal patoloji iyi anlaşılmıştır ancak literatürde henüz genotip-fenotip ilişkisi bulunmamaktadır. MikroRNA'lar (miRNA) gen ifadesinin transkripsiyon ve transkripsiyon sonrası düzenleyicileri olarak fonksiyon gösteren, küçük kodlanmayan RNA'lardır. Düzenleyici rolleri nedeniyle hastalıklarda tanı ve tedavi bakımından yeni bakış açıları sağlayabilirler. Hastalıkla ilişkili miRNA'ları ve ilgili hedeflerini belirlemek, hastalığa yeni moleküler bakış açısı sağlayarak yeni terapötik stratejilerin tasarlanmasını sağlar. miRNA'lar vücut sıvılarında stabil formda bulunurlar, bu da onları rutin klinik işleme ve analize uygun hale getirir ve yeni hastalık biyobelirteçleri olarak kullanımlarının ve tedaviye yanıtın değerlendirilmesinde kullanılır. NKH gibi metabolik blok sonucu toksik madde birikimi ile giden kalıtsal metabolik hastalıklarda erken tanı hayati önem taşımaktadır. Dolayısıyla kalıtsal metabolik hastalıklarda erken tanı için alternatif metotların geliştirilmesi önemlidir. miRNA'ların NKH gibi kalıtsal metabolik hastalıkların erken tanı için daha spesifik ve daha hızlı bir biyobelirteç olarak kullanılabileceğini düşünmekteyiz. Dolaşımdaki miRNA'ların biyobelirteç olarak kullanımları sayesinde; hızlı müdahale için bir hastalığın erken evrelerini tespit etmek, böylece hastalığı önlemek, iyileştirmek veya yavaşlatmak, benzer etiyolojilere sahip patolojileri ayırt etmek, prognozu tahmin etmek ve tedaviye yanıtın izlenmesinde faydalı olacağı düşünülmektedir. Literatürde pek çok kalıtsal metabolik hastalık miRNA çalışması yapılmış olmasına rağmen daha önce NKH miRNA ilişkisini inceleyen bir araştırma bulunmamaktadır. Bu çalışmasında NKH hastalığı ve miRNA'lar ile ilgili daha önce elde ettiğimiz bilgi birikimizi kullanarak NKH'daki miRNA'ların rolünü araştırmayı amaçlıyoruz. Çalışmada NKH hastaları ve sağlıklı bireylerden oluşan kontrol grubuna ait kan, idrar ve BOS sıvılarından izole edilen miRNA'lar karşılaştırılıp büyük ölçekli miRNA profillemesi gerçekleştirilecektir. Elde edilen miRNA'ların ifadesi analiz edilecek ve elde edilen sonuçlara göre kontrol ve hasta grubu arasında ifadesi önemli derecede farklılık gösteren miRNA'lar seçilerek qRT-PCR analizi ile doğrulanacaktır. Son olarak aday miRNA'nın NKH'de fenotipe olan etkisine bakılacaktır. Çalışmamız NKH miRNA ilişkisini inceleyen ilk çalışma olacaktır.Nonketotic hyperglycinemia (NKH), glycine encephalopathy is an autosomal recessive (OR) amino acid metabolism disorder. Glycine accumulates in the body due to the defect in the glycine-cleavage enzyme complex. Diagnosis; determined by an increase in cerebrospinal fluid (CSF) and plasma glycine levels. The CSF/plasma glycine ratio in NKH is usually 0.08-0.25 µmol/L. The increase in CSF glycine level is an important indicator for NKH, but the most reliable diagnostic method in NKH is genetic analysis. The first findings in NKH usually occur at birth or in the first weeks. There is no suitable treatment method yet to change the prognosis of NKH, current treatments are aimed at preventing and removing glycine accumulation in the body. Elevated glycine can also be seen in propionic acidemia called ketotic hyperglycinemia, methylmalonic acidemia and beta ketothiolase enzyme deficiency. In these patients, high glycine levels are accompanied by severe acidosis and ketosis. This condition is called ketotic hyperglycinemia. Ketosis is the stimulus for early intervention in ketotic hyperglycinemia. It has been reported in the literature that NKH is seen approximately twice as frequently as ketotic hyperglycinemia. These conditions, which increase glycine in CSF, also cause a high CSF/plasma glycine ratio. This situation states that the CSF/plasma glycine ratio is not an adequate criterion for diagnosis in NKH and highlights the importance of the existence of a more specific diagnostic method for NKH. The biochemical pathology resulting from changes in any of the four proteins in the glycine-cleavage enzyme that causes NKH is well understood, but there is no genotype-phenotype relationship yet in the literature. MicroRNAs (miRNA) are small non-coding RNAs that function as transcriptional and post-transcriptional regulators of gene expression. Due to their regulatory role, they can provide new perspectives in terms of diagnosis and treatment of diseases. Identifying disease-associated miRNAs and their respective targets provides new molecular perspectives on disease, enabling the design of new therapeutic strategies. miRNAs are found in stable form in body fluids, making them suitable for routine clinical processing and analysis, and are used as novel disease biomarkers and for evaluation of treatment response. Early diagnosis is very important in hereditary metabolic diseases such as NKH, which lead to accumulation of toxic substances as a result of metabolic block. Therefore, it is necessary to develop alternative methods for early diagnosis of inherited metabolic diseases. We think that miRNAs can be used as a more specific and faster biomarker for early diagnosis of inherited metabolic diseases such as NKH. The use of circulating miRNAs as biomarkers; It is thought that it will be useful to detect the early stages of a disease, prevent, cure or slow the disease, distinguish pathologies, predict the prognosis and monitor the response to treatment. Although many inherited metabolic disease miRNA studies have been carried out in the literature, there is no previous study examining the relationship of NKH miRNA. In this project study, we aim to investigate the role of miRNAs in NKH using our previous knowledge about NKH disease and miRNAs. The aim of the study was to compare the expression of miRNAs in NKH between the patient and control group. In the study, large-scale miRNA profiling will be performed by comparing the miRNAs isolated from the blood, urine and CSF fluids of the control group consisting of NKH patients and healthy individuals. miRNAs will be analyzed and confirmed by qRT-PCR analysis by selecting miRNAs whose expression differs significantly between the control and patient group according to the results obtained. Finally, the effect of candidate miRNA on phenotype in NKH will be examined. Our study will be the first to examine the NKH miRNA relationship
Comparison of Unilateral and Bilateral Transforaminal Epidural Steroid Injections in Unilateral Lumbar Disc Herniation: a Randomized Controlled Trial
No full textunal, hanzade/0000-0003-1598-1844; Ozgencil, Bahir Kayra/0009-0000-0648-8631; KARADAG ERKOC, SUHEYLA/0000-0001-5086-5916Objective: To compare the efficiency of unilateral and bilateral transforaminal epidural steroid injections (TFESI) in patients with unilateral lumbar disc herniation (LDH). Methods: In this prospective randomized single-blinded study, patients with unilateral LDH were randomly divided into two groups: A unilateral TFESI group; and a bilateral TFESI group. The severity of pain and disability were assessed with the Numeric Rating Scale (NRS-11) and Oswestry Disability Index (ODI) at baseline, 1 week, 1 month, and 3 months after interventions. Treatment response was defined as >= 50% reduction in the NRS-11 at the 3-month follow-up. Changes in medication consumption at 3 months following the interventions were recorded. This study protocol is registered at ClinicalTrials.gov (NCT06240793). Results: A total of 104 patients were included in the study (n = 58 in the unilateral TFESI group and n = 46 in the bilateral TFESI group). The NRS-11, ODI scores and medical treatment consumption did not differ statistically between the groups at 3 months (p > 0.05). At 3 months, the rates of patients with a > 50% decrease in NRS-11 scores were 13.8% and 32.6% in the unilateral TFESI group and bilateral TFESI group, respectively. Conclusions: Unilateral and bilateral TFESI both decrease pain severity and disability scores to a similar degree, although bilateral TFESI was more effective in reducing pain severity by over 50% in patients with single-level unilateral LDH
Bit Segmentation of Non-Line of Sight Data in Optical Camera Communication Using U-Net
No full textBaykal, Yahya/0000-0002-4897-0474; Ozkan, Cagla/0009-0003-2188-6314; Inan, Tolga/0000-0002-8612-122XOptical Camera Communication (OCC) utilizes image sensors to decode modulated light signals from light-emitting diodes (LEDs), offering a cost-effective solution for wireless communication. However, data extraction in non-line-of-sight (NLOS) conditions is challenging due to signal distortions caused by obstacles and reflections. Traditional segmentation techniques, such as Otsu's thresholding and adaptive thresholding, are computationally efficient but struggle with lighting variations, background interference, and high-frequency distortions, limiting their effectiveness in real-world OCC applications. To address these limitations, we propose a U-Net convolutional neural network, trained on a diverse dataset covering various camera distances, lighting conditions, and reflection levels to improve segmentation accuracy. The proposed model achieves up to 25% BER improvement, outperforming traditional thresholding methods and ensuring more reliable bit extraction in challenging OCC environments. These advancements make deep learning a promising approach for improving OCC applications such as indoor positioning, smart transportation, and secure optical wireless communication
Distributed Sensing Using Frequency-Selective Fading
No full textThe fading phenomenon in optical time-domain reflectometry is regarded as a detrimental process that degrades measurement performance. In this study, we investigate the fading behavior of coherent Rayleigh backscattering. Using this characterization, we propose and demonstrate that fading can be utilized for distributed sensing. Using the frequency-selective response of fading and dual-pulse phase optical time-domain reflectometry, we demonstrate trace-to-trace strain measurements in a single mode fiber with a resolution below 3.3 nϵ. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
Observation of t(t)over-bar Production in Pb Plus PB Collisions at √sNN=5.02 TeV with the ATLAS Detector
No full textWhite, Martin/0000-0001-5474-4580; Shah, Aashaq/0000-0002-6157-2016; Miu, Ovidiu/0000-0002-0287-8293; Yang, Tianyi/0000-0002-4996-1924; Lebedev, Alexandre/0000-0002-9566-1850; Panwar, Lata/0000-0003-2461-4907; Vittori, Camilla/0000-0001-9156-970X; Unal, Guillaume/0000-0001-8130-7423; Carbone, Antonio/0000-0002-4117-3800; Thomson, Evelyn/0000-0001-6031-2768; Poreba, Aleksandra/0000-0003-1250-0865; Wang, Zirui/0000-0002-0928-2070; Wang, Shudong/0000-0001-7477-4955; Nasri, Salah/0000-0002-5985-4567; Beretta, Matteo Mario/0000-0002-7026-8171; Cindro, Vladimir/0000-0002-2037-7185; Coelli, Simone/0000-0002-5145-3646; Martin-Haugh, Stewart/0000-0001-9457-1928; Haas, Andrew/0000-0002-4832-0455; Rompotis, Nikolaos/0000-0003-2577-1875; Longarini, Iacopo/0000-0002-0352-2854; Willocq, Stephane/0000-0002-4120-1453; Barakat, Marawan/0000-0001-5740-1866; Keaveney, James/0000-0003-0766-5307; Costanzo, Davide/0000-0003-4920-6264; Grivaz, Jean-Francois/0000-0003-4793-7995; Burghgrave, Blake/0000-0001-5686-0948; D'Auria, Saverio/0000-0003-3393-6318; Klein, Matthew Henry/0000-0002-9999-2534; Vecchio, Valentina/0000-0002-1351-6757; Hopkins, Walter/0000-0001-7814-8740; Wei, Yingjie/0000-0001-9725-2316; De La Torre Perez, Hector/0000-0002-4516-5269; Vu, Ngoc Khanh/0000-0002-6251-1178; Du, Dongshuo/0000-0002-6758-0113; Cai, Yizhou/0000-0003-2246-7456; Konstantinidis, Nikolaos/0000-0002-4140-6360; Kourlitis, Vangelis/0000-0001-6568-2047; Snyder, Scott/0000-0001-8610-8423; Moreno Martinez, Carlos/0000-0002-5719-7655; Merlassino, Claudia/0000-0002-5445-5938; Gustavino, Giuliano/0000-0002-5938-4921; Wendland, Bjorn/0000-0003-1623-3899; Khwaira, Yahya/0000-0001-8538-1647; Berger, Nicolas/0000-0002-7963-9725; Shabalina, Elizaveta/0000-0003-4849-556X; Li, Liang/0000-0001-6411-6107; Chapon, Emilien/0000-0001-6968-9828; Przybycien, Mariusz/0000-0002-9235-2649; Rebuzzi, Daniela Marcella/0000-0003-4461-3880; Uysal, Zekeriya/0000-0002-7110-8065; Zenz, Seth/0000-0002-9720-1794; Potti, Harish/0000-0002-0800-9902; 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Zhang, Zhiqing/0000-0002-7853-9079; Cheong, Sanha/0000-0002-2797-6383; Chevalier, Laurent/0000-0003-3762-7264; Lopez Solis, Alvaro/0000-0002-0511-4766; Vasile, Matei-Eugen/0000-0001-8415-0759; Vormwald, Benedikt/0000-0003-2607-7287; Introzzi, Gianluca/0000-0002-1314-2580; Ali, Shahzad/0000-0001-5216-3133; Umaka, Ejiro/0000-0001-7725-8227; Jones, Eleanor/0000-0001-6289-2292; Panduro Vazquez, Jose Guillermo/0000-0003-2605-8940; Nisati, Aleandro/0000-0002-5080-2293; Bona, Marcella/0000-0002-9660-580X; Buckley, Andy/0000-0001-8355-9237; Tariq, Khuram/0000-0002-0584-8700; Lewicki, Maciej Piotr/0000-0002-8972-3066; Lari, Tommaso/0000-0002-1388-869X; Su, Dong/0000-0001-6980-0215; Albert, Justin/0000-0003-0253-2505; Zhang, Yulei/0000-0001-6274-7714; Citron, Zvi/0000-0003-1831-6452; Saito, Masahiko/0000-0001-5564-0935; Varni, Carlo/0000-0001-6733-4310; Maniatis, Ioannis/0000-0002-4362-0088; Gutierrez Zagazeta, Luis Felipe/0000-0003-0374-1595; Guo, Yuxiang/0000-0002-6027-5132; Artoni, Giacomo/0000-0002-3477-4499; Sampsonidou, Despoina/0000-0003-0384-7672; Bevan, Adrian/0000-0002-4105-9629; Dam, Mogens/0000-0001-6278-9674; Barr, Alan/0000-0002-3533-3740; Liu, Mingyi/0000-0002-0236-5404; Bellos, Panagiotis/0000-0003-2049-9622; Montejo Berlingen, Javier/0000-0001-9213-904X; Romano, Marino/0000-0002-6609-7250; Chan, Jay/0000-0001-7069-0295; Balasubramanian, Rahul/0000-0001-5840-1788; Farrington, Sinead/0000-0001-5350-9271; Li, Zhelun/0000-0001-7096-2158; Onyisi, Peter/0000-0003-4201-7997; Ciesla, Krzysztof/0000-0003-2751-3474; Panizzo, Giancarlo/0000-0002-0352-4833; Moser, Brian/0000-0001-6750-5060; Das, Sruthy Jyothi/0000-0003-2693-3389; Escalier, Marc/0000-0003-4270-2775; Mokgatitswane, Gaogalalwe/0000-0001-9878-4373; Ripellino, Giulia/0000-0002-4053-5144; Goussiou, Anna/0000-0001-6211-7122; Poveda, Joaquin/0000-0001-8144-1964; Pater, Joleen/0000-0002-0598-5035; Warburton, Andreas/0000-0002-2298-7315; Nitika, Nitika/0000-0003-0576-3122; Koffas, Thomas/0000-0001-9612-4988; Taylor, Wendy/0000-0002-6596-9125; Gauzzi, Paolo/0000-0003-4841-5822; Mlinarevic, Marin/0000-0003-3587-646X; Dao, Valerio/0000-0003-1645-8393; Wu, Xin/0000-0001-7655-389X; Duperrin, Arnaud/0000-0002-5789-9825; Gonzalez Sevilla, Sergio/0000-0003-4458-9403; Camarda, Stefano/0000-0003-0479-7689; Martin Dit Latour, Bertrand/0000-0003-3420-2105; Hoppesch, Matthew/0000-0002-7773-3654; Deliot, Frederic/0000-0003-0777-6031; Jackson, Paul/0000-0002-0847-402X; Worm, Steven/0000-0002-3865-4996; Yang, Siqi/0000-0002-0204-984X; Romain, Madar/0000-0002-6875-6408; Calafiura, Paolo/0000-0002-1692-1678; Ballabene, Eric/0000-0001-9700-2587; Leitgeb, Clara Elisabeth/0000-0002-0335-503X; Chen, Hucheng/0000-0002-9936-0115; Franklin, Melissa/0000-0002-6595-883X; Zanzottera, Riccardo/0009-0006-5900-2539; Yorita, Kohei/0000-0003-1988-8401; Brandt, Oleg/0000-0001-5219-1417; Mazzeo, Elena/0000-0002-8406-0195; Elsing, Markus/0000-0002-1213-0545; Saibel, Andrej/0000-0002-9932-7622; Moss, Joshua/0000-0002-6729-4803; Todorova, Sarka/0000-0003-2433-231X; Robson, Aidan/0000-0002-1659-8284; De Almeida Dias, Flavia/0000-0001-6882-5402; Da Fonseca Pinto, Joao Victor/0000-0003-1746-1914; Meloni, Federico/0000-0001-7075-2214; Sadrozinski, Hartmut/0000-0003-0019-5410; Liu, Xiaotian/0000-0003-1366-5530; Duda, Dominik/0000-0002-5916-3467; Nasella, Laura/0000-0002-4871-784X; Bhattarai, Prajita/0000-0001-9977-0416; Alvarez Fernandez, Adrian/0000-0003-1525-4620; Marjanovic, Marija/0000-0002-4468-0154; Stark, Giordon/0000-0001-6616-3433; Aoki, Masato/0000-0001-7498-0097; Tishelman-Charny, Abraham/0000-0002-7332-5098; Golling, Tobias/0000-0001-8535-6687; Mitsou, Vasiliki A./0000-0002-1533-8886; Raine, John/0000-0002-5987-4648; Volkotrub, Yuriy/0000-0002-3114-3798; Sato, Koji/0000-0001-8988-4065; Schopf, Elisabeth/0000-0002-9340-2214; Feligioni, Lorenzo/0000-0002-1403-0951; Lister, Alison/0000-0002-1552-3651; Sandesara, Jay/0000-0002-6016-8011; Malito, Davide/0000-0002-3996-4662; Di Luca, Andrea/0000-0002-9074-2133; Bortoletto, Daniela/0000-0002-1287-4712; Ernani Martins Neto, Daniel/0000-0003-2793-5335; Chwastowski, Janusz/0000-0002-6190-8376; Stanislaus, Beojan/0000-0001-9007-7658; Sopczak, Andre/0000-0001-6981-0544; Muanza, Steve/0000-0002-1786-2075; Ran, Kunlin/0000-0003-3119-9924; Brahimi, Nihal/0000-0003-0992-3509; Guerrero Rojas, Jesus/0000-0001-8487-3594; Rummler, Andre/0000-0001-8945-8760; Butterworth, Jonathan/0000-0002-5905-5394; Olivares, Sebastian/0000-0003-4616-6973; Dell'Asta, Lidia/0000-0002-9601-4225; Ryzhov, Andrey/0000-0002-0623-7426; Faraj, Mohammed/0000-0001-9442-7598; Doyle, Anthony/0000-0001-6322-6195; Moreno Llacer, Maria/0000-0003-1113-3645; Islam, Wasikul/0000-0002-5624-5934; Ali, Babar/0000-0001-8653-5556; Dinu, Ioan-Mihail/0000-0002-2683-7349; Affolder, Anthony/0000-0002-9058-7217; Ulloa Poblete, Pablo Augusto/0000-0002-0789-7581; Bhattacharya, Deb Sankar/0000-0003-3837-4166; Simsek, Sinem/0000-0002-9650-3846; Smirnov, Sergei/0000-0002-6778-073X; Haley, Joseph/0000-0002-6938-7405; Genest, Marie-Helene/0000-0002-4098-2024; Dado, Tomas/0000-0002-7050-2669; Alves, Fabio Lucio/0000-0002-1626-6255; Onofre, Antonio/0000-0003-3471-2703; Vigl, Matthias/0000-0003-2281-3822; Etzion, Erez/0000-0001-6871-7794; Munoz Sanchez, Francisca/0000-0002-6374-458X; Cepaitis, Vilius/0000-0002-4809-4056; Nikiforou, Nikiforos/0000-0003-1267-7740; Clark, Allan/0000-0001-8341-5911; Heinrich, Lukas/0000-0002-4048-7584; Carmignani, Joseph (Joe)/0000-0002-1705-1061; Stupak Iii, John/0000-0001-9610-0783; Maeda, Junpei/0000-0002-9084-3305; Quinn, Ryan/0000-0002-0879-6045; Garcia, Carmen/0000-0003-1625-7452; Montella, Alessandro/0000-0002-5578-6333; Ghosh, Aishik/0000-0003-0819-1553; Pascual Dominguez, Luis/0000-0003-4701-9481; Mckee, Shawn/0000-0002-4551-4502; Chu, Ming-Chung/0000-0002-1971-0403; Fanti, Marcello/0000-0002-8773-145X; Roy, Avik/0000-0002-0116-1012; Sedlaczek, Kevin/0000-0003-2052-2386; Goossens, Luc/0000-0002-2536-4498; Doglioni, Caterina/0000-0002-1509-0390; Stevenson, Thomas/0000-0003-2399-8945; Cadamuro, Luca/0000-0001-8789-610X; Gorisek, Andrej/0000-0002-3903-3438; Kvam, Audrey/0000-0001-7243-0227; Dong, Binbin/0000-0002-6075-0191; Kumar, Mukesh/0000-0003-3681-1588; Jia, Jiangyong/0000-0002-5725-3397; Javurkova, Martina/0000-0001-8798-808X; Hays, Chris/0000-0003-2371-9723; Fox, Harald/0000-0003-3089-6090; Mondal, Santu/0000-0002-6965-7380; Smirnova, Oxana/0000-0003-2517-531X; Bhatta, Somadutta/0000-0002-9045-3278; Gaudio, Gabriella/0000-0002-6833-0933; Ozturk, Nurcan/0000-0003-1125-6784; Filthaut, Frank/0000-0003-3338-2247; Gramstad, Eirik/0000-0001-5792-5352; Stockton, Mark/0000-0001-9679-0323; Tu, Yanjun/0000-0002-5865-183X; Ould-Saada, Farid/0000-0002-9404-835X; Frattari, Guglielmo/0000-0002-7829-6564; Weber, Michele/0000-0002-2770-9031; Cristoforetti, Marco/0000-0002-0127-1342; Tanaka, Reisaburo/0000-0002-9929-1797; Gonzalez Suarez, Rebeca/0000-0002-6126-7230; Cremonini, Davide/0000-0003-1687-3079; Bouquet, Romain/0000-0001-9683-7101; Shapiro, Marjorie/0000-0001-8540-9654; Navarro Gonzalez, Josep/0000-0002-4172-7965; Kretzschmar, Jan/0000-0002-8515-1355; Valero, Alberto/0000-0002-9776-5880; Mildner, Hannes/0000-0002-0384-6955; Pereira Sanchez, Laura/0000-0001-7913-3313; Mungo, Davide Pietro/0000-0002-2567-7857; Ricci, Ester/0000-0002-4222-9976; Tzovara, Eftychia/0000-0002-0410-0055; Yabsley, Bruce/0000-0002-2680-0474; Burdin, Sergey/0000-0003-4831-4132; Leblanc, Matt/0000-0001-5977-6418; Kodys, Peter/0000-0002-8644-2349; Komarek, Tomas/0000-0002-3047-3146; Liu, Bingxuan/0000-0002-0721-8331; Zamora-Saa, Jilberto/0000-0002-5030-7516; Hoya, Joaquin/0000-0002-7562-0234; Iuppa, Roberto/0000-0001-5038-2762; Resconi, Silvia/0000-0003-2313-4020; Carlson, Benjamin/0000-0002-7550-7821; Weber, Christian/0000-0002-8659-5767; Dong, Qichen/0000-0002-0117-7831; Gwilliam, Carl/0000-0002-9401-5304; Rousseau, David/0000-0001-7613-8063; Al Khoury, Konie/0000-0002-0547-8199; Belfkir, Mohamed/0000-0001-9974-1527; Zhang, Rui/0000-0002-8265-474X; Geanta, Andrei-Alexandru/0000-0003-2781-2933; Parajuli, Santosh/0000-0003-1499-3990; Angerami, Aaron/0000-0001-7834-8750; Hulsken, Raphael/0000-0002-0095-1290; Zerradi, Soufiane/0000-0001-9101-3226; Escobar Ibanez, Carlos/0000-0003-4442-4537; Dell'Acqua, Andrea/0000-0003-2453-7745; Hank, Michael/0000-0002-4731-6120; Maleev, Victor/0000-0003-1028-8602; Mete, Alaettin Serhan/0000-0002-5508-530X; Zhang, Zhicai/0000-0002-1630-0986; Cunha Sargedas Sousa, Mario Jose/0000-0001-7991-593X; Sciandra, Andrea/0000-0001-7163-501X; Salvador Salas, Adrian/0000-0001-5041-5659Top-quark pair production is observed in lead-lead (Pb + Pb) collisions at root s(NN) = 5.02 TeV at the Large Hadron Collider with the ATLAS detector. The data sample was recorded in 2015 and 2018, amounting to an integrated luminosity of 1.9 nb(-1). Events with exactly one electron and one muon and at least two jets are selected. Top-quark pair production is measured with an observed (expected) significance of 5.0 (4.1) standard deviations. The measured top-quark pair production cross section is sigma(t (t) over bar) = 3.6(-0.09)(+1.0) (stat)(-0.5)(+0.8) (syst) mu b, with a total relative uncertainty of 31%, and is consistent with theoretical predictions using a range of different nuclear parton distribution functions. The observation of this process consolidates the evidence of the existence of all quark flavors in the preequilibrium stage of the quark-gluon plasma at very high energy densities, similar to the conditions present in the early Universe.CERN; NDGF (Denmark, Norway, Sweden); KIT/GridKA (Germany); INFN-CNAF (Italy); NL-T1 (Netherlands), PIC (Spain); RAL (UK); BNL (U.S.); 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; 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; SRC; Wallenberg Foundation, Sweden; SNSF; NSTC, Taipei; DOE; NSF; BCKDF; CRC; DRAC, Canada; FORTE; PRIMUS, Czech Republic; ERC [101116429]; Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex; 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, UMO2024/53/N/ST2/00869]; La Caixa Banking Foundation; CERCA Programme Generalitat de Catalunya; PROMETEO; Goran Gustafssons Stiftelse, Sweden; Royal Society [NIF-R1-231091]; Leverhulme Trust; 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, MOST2023YFA1609300]; 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, 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'Universit`a e della Ricerca; Japan Society for the Promotion of Science (JSPS KAKENHI) [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 (Artemisa, 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]; 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, 2021-03651]; Knut and Alice Wallenberg Foundation [KAW 2018.0458, KAW 2019.0447]; Swiss National Science Foundation [SNSF-PCEFP2_194658]; United Kingdom: Leverhulme Trust (Leverhulme Trust) [RPG-2020-004]; U.S.: U.S. Department of Energy [ECA DE-AC02-76SF00515]; 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 (U.S.), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [70]. 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, U.S.; 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, MOST2023YFA1609300), 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, ERC, BARD, 101116429), 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'Universit`a 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, UMO2024/53/N/ST2/00869); Slovenia: Slovenian Research Agency (ARIS Grant No. J1-3010); Spain: Generalitat Valenciana (Artemisa, FEDER, IDIFEDER/2018/048), Ministry of Science and Innovation (MCIN ; NextGenEU PCI2022-135018-2, MICIN and 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); U.S.: U.S. Department of Energy (ECA DE-AC02-76SF00515), Neubauer Family Foundation
Cross-Cultural Data on Romantic Love and Mate Preferences from 117,293 Participants Across 175 Countries
No full textGjoneska, Biljana/0000-0003-1200-6672; Volkodav, Tatiana/0000-0003-3129-3638; Lacko, David/0000-0002-2904-8118; Ermagan Caglar, Eda/0000-0002-9690-2898; Janssen, Steve/0000-0002-3100-128X; Prazeres, Filipe/0000-0002-2849-5194; Pfuhl, Gerit/0000-0002-3271-6447Psychological studies on close relationships have often overlooked cultural diversity, dynamic processes, and potentially universal principles that shape intimate partnerships. To address the limited generalizability of previous research and advance our understanding of romantic love experiences, mate preferences, and physical attractiveness, we conducted a large-scale cross-cultural survey study on these topics. A total of 404 researchers collected data in 45 languages from April to August 2021, involving 117,293 participants from 175 countries. Aside from standard demographic questions, the survey included valuable information on variables relevant to romantic relationships: intimate, passionate, and committed love within romantic relationships, physical-attractiveness enhancing behaviors, gender equality endorsement, collectivistic attitudes, personal history of pathogenic diseases, relationship quality, jealousy, personal involvement in sexual and/or emotional infidelity, relational mobility, mate preferences, and acceptance of sugar relationships. The resulting dataset provides a rich resource for investigating patterns within, and associations across, a broad range of variables relevant to romantic relationships, with extensive opportunities to analyze individual experiences worldwide.This work is the result of the research project funded by the National Science Center, Poland (2019/33/N/HS6/00054). Marta Kowal was supported by the Foundation for Polish Science (FNP) START scholarship. Toivo Aavik was supported by the Estonian Research Council grant (PRG2190). The authors would like to thank the following scholars for their help with the translation: Christin-Melanie Vauclair Melanie, Catia Carvalho, Diogo Lamela, Elena Piccinelli, Anabela Caetano Santos, Patricia Arriaga, and Isabel Pinto (Portuguese), Stanislava Stoyanova (Bulgarian), Vira Hrabchuk and Anne MacFarlane (Ukrainian). The authors would also like to thank the following organizations and individuals for their help with organizing data collection in El Salvador: the Escuela de Comunicacion Monica Herrera, Directora Nicole Paetz, asistente Maria Erlinda Avalos, Diego Infante, and Gabriela Quintanilla. Finally, the authors would like to thank all participants who devoted their time to answer the survey and to share the survey link with others.National Science Center, Poland [2019/33/N/HS6/00054]; Foundation for Polish Science (FNP) START scholarship; Estonian Research Council [PRG2190
Measurement of the Lund Jet Plane in Hadronic Decays of Top Quarks and W Bosons with the ATLAS Detector
No full textPanizzo, Giancarlo/0000-0002-0352-4833; Volkotrub, Yuriy/0000-0002-3114-3798; Chwastowski, Janusz/0000-0002-6190-8376; Abbott, Braden/0000-0002-5888-2734; Etzion, Erez/0000-0001-6871-7794; Stark, Giordon/0000-0001-6616-3433; Petersen, Troels/0000-0003-0221-3037; Jia, Jiangyong/0000-0002-5725-3397; Ghosh, Aishik/0000-0003-0819-1553; Leblanc, Matt/0000-0001-5977-6418; Gwilliam, Carl/0000-0002-9401-5304; Zhang, Yulei/0000-0001-6274-7714; Varvell, Kevin/0000-0003-1017-1295; Rompotis, Nikolaos/0000-0003-2577-1875; Chan, Jay/0000-0001-7069-0295; Affolder, Anthony/0000-0002-9058-7217; Sadrozinski, Hartmut/0000-0003-0019-5410; Islam, Wasikul/0000-0002-5624-5934; Abramowicz, Halina/0000-0001-5329-6640; Abicht, Nils Julius/0000-0001-5763-2760; Haley, Joseph/0000-0002-6938-7405; Beretta, Matteo Mario/0000-0002-7026-8171; Angerami, Aaron/0000-0001-7834-8750; Carmignani, Joseph (Joe)/0000-0002-1705-1061; Rodriguez Bosca, Sergi/0000-0002-4571-2509; Connell, Simon/0000-0001-6000-7245; Das, Sruthy Jyothi/0000-0003-2693-3389; Mitsou, Vasiliki A./0000-0002-1533-8886; Camarda, Stefano/0000-0003-0479-7689; Kowalewski, Robert/0000-0002-7314-0990; Meloni, Federico/0000-0001-7075-2214; Camplani, Alessandra/0000-0002-6386-9788; Vecchio, Valentina/0000-0002-1351-6757; Aad, Georges/0000-0002-6665-4934; Redlinger, George/0000-0002-6437-9991; Jackson, Paul/0000-0002-0847-402X; Umaka, Ejiro/0000-0001-7725-8227; Warburton, Andreas/0000-0002-2298-7315; Kretzschmar, Jan/0000-0002-8515-1355; Onyisi, Peter/0000-0003-4201-7997; Dinu, Ioan-Mihail/0000-0002-2683-7349; Moser, Brian/0000-0001-6750-5060; Yabsley, Bruce/0000-0002-2680-0474; White, Martin/0000-0001-5474-4580; Aboulhorma, Asmaa/0000-0002-9987-2292; Bona, Marcella/0000-0002-9660-580X; Abdelhameed, Sara/0000-0002-0287-5869; Doglioni, Caterina/0000-0002-1509-0390; Koffas, Thomas/0000-0001-9612-4988; Hoppesch, Matthew/0000-0002-7773-3654; Lebedev, Alexandre/0000-0002-9566-1850The Lund jet plane (LJP) is measured for the first time in t (t) over bar events, using 140 fb(-1) of root s = 13 TeV pp collision data collected with the ATLAS detector at the LHC. The LJP is a two-dimensional observable of the sub-structure of hadronic jets that acts as a proxy for the kinematics of parton showers and hadron formation. The observable is constructed from charged particles and is measured for R = 1.0 anti-k(t) jets with transverse momentum above 350 GeV containing the full decay products of either a top quark or a daughter W boson. The other top quark in the event is identified from its decay into a b-quark, an electron or a muon and a neutrino. The measurement is corrected for detector effects and compared with a range of Monte Carlo predictions sensitive to different aspects of the hadronic decays of the heavy particles. In the W-boson-initiated jets, all the predictions are incompatible with the measurement. In the top quark initiated jets, disagreement with all predictions is observed in smaller subregions of the plane, and with a subset of the predictions across the fiducial plane. The measurement could be used to improve the tuning of Monte Carlo generators, for better modelling of hadronic decays of heavy quarks and bosons, or to improve the performance of jet taggers.CERN; NDGF (Denmark, Norway, Sweden); KIT/GridKA (Germany); INFN-CNAF (Italy); NL-T1 (Netherlands), PIC (Spain); BNL (USA) [104]; ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW; FWF, Austria; ANAS; CNPq; FAPESP, Brazil; NSERC; CFI, Canada; NSFC, China; MEYS CR, Czech Republic; DNRFand DNSRC, Denmark; IN2P3-CNRS; CEA-DRF/IRFU, France; BMBF; MPG, Germany; RGC and Hong Kong SAR, China; ISF and 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 and Cantons of Bern and Geneva, Switzerland; NSTC, Taipei; DOE; NSF; BCKDF; CANARIE; CRC; DRAC, Canada [PRIMUS 21/SCI/017]; FORTE, 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 [CIDE-GENT/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 forNuclear Research (CERN PJAS); Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT) [1190886]; FONDECYT [1230987]; China: Chinese Ministry of Science and Technology [MOST-2023YFA1605700, MOST2023YFA1609300]; National Natural Science Foundation of China [NSFC -12175119, NSFC12275265, 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, ERC 101089007, CHIST-ERA-19-XAI00]; European Union; France: Agence Nationale de la Recherche [ANR-20-CE310013, ANR-21-CE31-0013, ANR-21-CE31-0022, ANR-22-EDIR-0002]; Investissements d'Avenir Labex; Germany: Baden-Wurttemberg Stiftung; Deutsche Forschungsgemeinschaft [DFG -469666862, CR 312/5-2]; Ministero dell'Universita e della Ricerca [PRIN -20223N7F8K -PNRR M4.C2.1.1]; Japan Society for the Promotion of Science (JSPS KAKENHI) [JP21H05085, JP22H01227, JP22H04944, JP22KK0227, 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, 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 [NextGenEU PCI2022-135018-2, FEDERPID2021-125273NB, 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; 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 nonWLCG resource providers. Major contributors of computing resources are listed in Ref. [104]. 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; DNRFand 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, USA. Individual groups and members have received support from BCKDF, CANARIE, CRC and DRAC, Canada; PRIMUS 21/SCI/017, CERNCZ and FORTE, 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 forNuclear Research (CERN PJAS); Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT 1190886, FONDECYT 1210400, FONDECYT 1230812, FONDECYT 1230987); China: Chinese Ministry of Science and Technology (MOST-2023YFA1605700, MOST2023YFA1609300), National Natural Science Foundation of China (NSFC -12175119, NSFC12275265, NSFC-12075060); Czech Republic: Czech Science Foundation (GACR -24-11373 S), 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-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), 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: IstitutoNazionale 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; FEDERPID2021-125273NB, RYC2019-028510-I, RYC2020-030254-I, RYC2021-031273-I, RYC2022-038164-I), PROMETEO andGenT ProgrammesGeneralitatValenciana (CIDE-GENT/2019/023, CIDEGENT/2019/027); Sweden: CarlTrygger 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 TrustRPG-2020-004), Royal Society (NIF-R1-231091); USA: U.S. Department of Energy (ECA DE-AC02-76SF00515), Neubauer Family Foundation
Mitigating Energy Cost of Connection Reliability in UWSNs Through Non-Uniform K-Connectivity
No full textUnderwater sensing via networked platforms (i.e., underwater wireless sensor networks - UWSNs) is extremely useful in a plethora of applications such as monitoring underwater assets and surveillance against submerged threats. Maintaining reliable connectivity is of utmost importance in UWSNs, which can be achieved through k-connectivity (i.e., each sensor node maintains at least k node-disjoint paths towards the base station - BS). However, the energy cost of k-connectivity is prohibitively high, especially with large k values. As a tradeoff, it is possible to mitigate the extra energy cost of k-connectivity by employing a non-uniform k assignment strategy in a UWSN (e.g., only the most critical sensors have high k values whereas the rest of the nodes have lower k values). Non-uniform k-connectivity is a novel concept which has never been systematically investigated in the literature, to the best of our knowledge. In this study, we investigate the tradeoff between network lifetime (NetL) and reliability via non-uniform k-connectivity through the use of a novel optimization framework. Our analysis reveal that it is possible to provide strong connection reliability to critical nodes by adopting a non-uniform k-connectivity strategy without deteriorating network lifetime significantly. © 2025 Elsevier B.V., All rights reserved