6746 research outputs found
Sort by
Remediation of an Aqueous Solution Contaminated With an Anionic Diazo Dye Using Natural Chabazite
No full textAlthough anionic azo dyes are frequently used in industry, most of them are poisonous, carcinogenic, and mutagenic. This study focused on the evaluation of chabazite for use in the adsorption of Congo red (CR), an anionic diazo dye, from aqueous solutions. The material used in the study had a 322.8 m2/g BET surface area. Equilibrium was reached after 4 h and the data were in good agreement with the pseudo-second-order kinetic model. The highest sorption efficiency was achieved at pH 7.3, the natural pH of the solution, but the impact was not significant, thus, chabazite can also be used efficiently throughout the range of pH 4.5–9.4. The separation efficiency reduced with increasing temperature, and according to the thermodynamic data, the process was non-spontaneous and exothermic. Adsorption capacity had a maximum value of 26.525 mg/g and was positively affected by chabazite dose but negatively affected by CR concentration. The data were well described (R2 = 0.9947) by Freundlich isotherm model. This study exhibits that chabazite can be used for the adsorption of an anionic diazo dye, i.e. Congo red. © 2024 The AuthorsSelçuk Üniversitesi, SÜ; Konya Teknik Üniversitesi, KTÜN: 16201117; Konya Teknik Üniversitesi, KTÜN; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK: 109Y301; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTA
Nonresonant Central Exclusive Production of Charged-Hadron Pairs in Proton-Proton Collisions at Formula Presented
No full textThe central exclusive production of charged-hadron pairs in Formula Presented collisions at a center-of-mass energy of 13 TeV is examined, based on data collected in a special high-Formula Presented run of the LHC. The nonresonant continuum processes are studied with the invariant mass of the centrally produced two-pion system in the resonance-free region, Formula Presented or Formula Presented. Differential cross sections as functions of the azimuthal angle between the surviving protons, squared exchanged four-momenta, and Formula Presented are measured in a wide region of scattered proton transverse momenta, between 0.2 and 0.8 GeV, and for pion rapidities Formula Presented. A rich structure of interactions related to double-pomeron exchange is observed. A parabolic minimum in the distribution of the two-proton azimuthal angle is observed for the first time. It can be interpreted as an effect of additional pomeron exchanges between the protons from the interference between the bare and the rescattered amplitudes. After model tuning, various physical quantities are determined that are related to the pomeron cross section, proton-pomeron and meson-pomeron form factors, pomeron trajectory and intercept, and coefficients of diffractive eigenstates of the proton. © 2024 CERN, for the CMS and TOTEMs Collaboration
Search for a Resonance Decaying To a W Boson and a Photon in Proton-Proton Collisions at √s=13 Tev Using Leptonic W Boson Decays
No full textBruschini, Davide/0000-0001-7248-2967; Navarrete Ramos, Efren/0000-0002-5180-4020; Martinez Rivero, Celso/0000-0002-3224-956X; Macchiolo, Anna/0000-0003-0199-6957; Dash, Ganapati/0000-0002-7451-4763; Cipriani, Marco/0000-0002-0151-4439; Tedeschi, Tommaso/0000-0002-7125-2905; Hernandez Calama, Jose Maria/0000-0001-6436-7547; Shevelev, Alexey/0000-0003-4600-0228; Venditti, Rosamaria/0000-0001-6925-8649; Colaleo, Anna/0000-0002-0711-6319; Shopova, Mariana/0000-0001-6664-2493; Ramos, Dayron/0000-0002-7165-1017; Calderon, Dr. Alicia/0000-0002-7205-2040; Milosevic, Vukasin/0000-0002-1173-0696; Radogna, Raffaella/0000-0002-1094-5038; Pozniak, Krzysztof/0000-0001-5426-1423; Troiano, Donato/0000-0001-7236-2025; Matorras, Francisco/0000-0003-4295-5668; Tytgat, Michael/0000-0002-3990-2074; Asenov, Patrick/0000-0003-2379-9903; Tiwari, Praveen Chandra/0000-0002-3667-3843; Lunerti, Leonardo/0000-0002-8932-0283; Laroze, David/0000-0002-6487-8096; Ligabue, Franco/0000-0002-1549-7107; Vannerom, David/0000-0002-2747-5095; Moscatelli, Francesco/0000-0002-7676-3106; Perez Adan, Danyer/0000-0003-3416-0726; Fernandez Perez Tomei, Thiago Rafael/0000-0002-1809-5226A search for a new charged particle X with mass between 0.3 and 2.0TeV decaying to a W boson and a photon is presented, using proton-proton collision data at a center-of-mass energy of 13TeV, collected by the CMS experiment and corresponding to an integrated luminosity of 138 fb(-1). Particle X has electric charge +/- 1 and is assumed to have spin 0. The search is performed using the electron and muon decays of the W boson. No significant excess above the predicted background is observed. The upper limit at 95% confidence level on the product of the production cross section of the X and its branching fraction to a W boson and a photon is found to be 94 (137) fb for a 0.3TeV resonance and 0.75 (0.81) fb for a 2.0TeV resonance, for an X width-to-mass ratio of 0.01% (5%). This search presents the most stringent constraints to date on the existence of such resonances across the probed mass range. A statistical combination with an earlier study based on the hadronic decay mode of the W boson is also performed, and the upper limit at 95% confidence level for a 2.0TeV resonance is reduced to 0.50 (0.63) fb for an X width-to-mass ratio of 0.01% (5%).We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centers and personnel of the Worldwide LHC Computing Grid and other centers for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC, the CMS detector, and the supporting computing infrastructure provided by the following funding agencies: SC (Armenia), BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES and BNSF (Bulgaria); CERN; CAS, MoST, and NSFC (China); MINCIENCIAS (Colombia); MSES and CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); ERC PRG, RVTT3 and MoER TK202 (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); SRNSF (Georgia); BMBF, DFG, and HGF (Germany); GSRI (Greece); NKFIH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LMTLT (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MES and NSC (Poland); FCT (Portugal); MESTD (Serbia); MCIN/AEI and PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); MHESI and NSTDA (Thailand); TUBITAK and TENMAK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (U.S.A.).r Individuals have received support from the Marie-Curie program and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093, 101115353, 101002207, and COST Action CA16108 (European Union); the Leventis Foundation; the Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the Science Committee, project no. 22rl-037 (Armenia); the Belgian Federal Science Policy Office; the Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); the F.R.S.-FNRS and FWO (Belgium) under the "Excellence of Science EOS" -be.h project n. 30820817; the Beijing Municipal Science ; Technology Commission, No. Z191100007219010 and Fundamental Research Funds for the Central Universities (China); the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Shota Rustaveli National Science Foundation, grant FR-22-985 (Georgia); the Deutsche Forschungsgemeinschaft (DFG), under Germany's Excellence Strategy - EXC 2121 "Quantum Universe" -390833306, and under project number 400140256 - GRK2497; the Hellenic Foundation for Research and Innovation (HFRI), Project Number 2288 (Greece); the Hungarian Academy of Sciences, the New National Excellence Program - UNKP, the NKFIH research grants K 131991, K 133046, K 138136, K 143460, K 143477, K 146913, K 146914, K 147048, 2020-2.2.1ED-2021-00181, and TKP2021-NKTA-64 (Hungary); the Council of Science and Industrial Research, India; ICSC - National Research Center for High Performance Computing, Big Data and Quantum Computing and FAIR -Future Artificial Intelligence Research, funded by the NextGenerationEU program (Italy); the Latvian Council of Science; the Ministry of Education and Science, project no. 2022/WK/14, and the National Science Center, contracts Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552 (Poland); the Fundacao para a Ciencia e a Tecnologia, grant CEECIND/01334/2018 (Portugal); the National Priorities Research Program by Qatar National Research Fund; MCIN/AEI/10.13039/501100011033, ERDF "a way of making Europe", and the Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia Maria de Maeztu, grant MDM-2017-0765 and Programa Severo Ochoa del Principado de Asturias (Spain); the Chulalongkorn Academic into Its 2nd Century Project Advancement Project, and the National Science, Research and Innovation Fund via the Program Management Unit for Human Resources ; Institutional Development, Research and Innovation, grant B37G660013 (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (U.S.A.).FWF; FNRS; FWO (Belgium); CNPq; CAPES; FAPERJ; FAPERGS; FAPESP (Brazil); BNSF (Bulgaria); MoST; NSFC (China); CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); ERC PRG [MoER TK202]; Academy of Finland; MEC; CEA; CNRS/IN2P3 (France); SRNSF; BMBF; DFG; HGF (Germany); NKFIH (Hungary); DAE; DST; IPM; SFI (Ireland); INFN (Italy); NRF (Republic of Korea); MES (Latvia); MOE; UM (Malaysia); BUAP; CONACYT; UASLP-FAI (Mexico); PAEC (Pakistan); FCT (Portugal); MESTD (Serbia); PCTI (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); NSTDA; TUBITAK; DOE; NSF; Marie-Curie program; European Research Council; Horizon 2020 Grant [675440, 724704, 752730, 758316, 765710, 824093, 101115353, 101002207]; COST Action [CA16108]; Leventis Foundation; Alfred P. Sloan Foundation; Alexander von Humboldt Foundation; Science Committee [22rl-037]; Belgian Federal Science Policy Office; Fonds pour la Formation a la Recherche dans l'Industrie et dans l'Agriculture (FRIA-Belgium); Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); FWO (Belgium) under the "Excellence of Science EOS [30820817]; Beijing Municipal Science AMP; Technology Commission [Z191100007219010]; Fundamental Research Funds for the Central Universities (China); Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; Shota Rustaveli National Science Foundation [FR-22-985]; Deutsche Forschungsgemeinschaft (DFG) [EXC 2121, 400140256 - GRK2497]; Hellenic Foundation for Research and Innovation (HFRI) [2288]; Hungarian Academy of Sciences [K 131991, K 133046, K 138136, K 143460, K 143477, K 146913, K 146914, K 147048, 2020-2.2.1ED-2021-00181, TKP2021-NKTA-64]; Council of Science and Industrial Research, India; ICSC - National Research Center for High Performance Computing - NextGenerationEU program (Italy); Latvian Council of Science; Ministry of Education and Science [2022/WK/14]; National Science Center [Opus 2021/41/B/ST2/01369, 2021/43/B/ST2/01552]; Fundacao para a Ciencia e a Tecnologia [CEECIND/01334/2018]; National Priorities Research Program by Qatar National Research Fund; ERDF "a way of making Europe" [MDM-2017-0765]; Programa Severo Ochoa del Principado de Asturias (Spain); National Science, Research and Innovation Fund via the Program Management Unit for Human Resources AMP; Institutional Development, Research and Innovation [B37G660013]; Kavli Foundation; Nvidia Corporation; SuperMicro Corporation; Welch Foundation [C-1845]; Weston Havens Foundation (U.S.A.
Beacon Tabanlı Mesafe Bilgisinin Ortam Şartlarına Göre Belirlenerek Üçgenleme Algoritmasıyla Test Edilmesi
No full textBluetooth teknolojisi son yıllardaki gelişimiyle oldukça kullanışlı hale gelmiştir. Özellikle Bluetooth Low Energy (BLE) bu alandaki en önemli gelişmelerden bir tanesidir. Daha az enerjiyle daha uzun süreli kaliteli veri alışverişi BLE’nin temel özelliğidir. BLE alt yapısı sağlık, spor, araç içi cihazlar, akıllı ev, pazarlama ve daha birçok alanda kullanılan elektronik cihazlarda bulunmaktadır. BLE alt yapısını kullanan Beacon teknolojisi de bu cihazlardan biridir. Beacon teknolojisi BLE alt yapısına sahip kullanıcıya tek taraflı veri ileten, diğer akıllı cihazlarla etkileşime giren basit, küçük, kablosuz cihazlardır. Bu teknoloji konum bilgisi ile de bütünleşik halde kullanılabilmektedir. Beacon teknolojisinin konum bazlı kullanımında proximity (yakınlık), fingerprint (parmak izi), trilateration (üçgenleme) başta olmak birçok konumlandırma algoritması geliştirilmekte ve kullanılmaktadır. Beacon teknolojisinin konum bazlı kullanımında Beacon ile kullanıcı arasındaki mesafenin sağlıklı bir şekilde belirlenmesi gerekir. Beacon teknolojisinde bu bilgi üretici firma tarafından kullanıcılara standart bir değer olarak sunulmakla birlikte kullanıcı bu mesafeyi ortam şartlarına göre de belirleyebilmektedir. Bu çalışmada Beacon ile kullanıcı arasındaki mesafenin ortam şartlarına göre belirlenmesi amacıyla 6 farklı test planı gerçekleştirilmiştir. Testler 3x3 m’den 8x8 m’ye kare yerleşim planlarına göre yapılmıştır. Belirlenen mesafe bilgisi ile üçgenleme algoritmasının Beacon tabanlı kullanılabilirliği de bu test planları kullanılarak araştırılmıştır. Testler üçgenleme algoritması için en uygun Beacon saha yerleşimi baz alınarak yapılmıştır. Yapılan testlerin genelinde ortam şartlarına göre belirlenen mesafe bilgisi, üretici firma tarafından kullanıcılara sunulan standart mesafe bilgisinden daha iyi sonuç vermiştir. Üçgenleme algoritmasının Beacon tabanlı kullanımı için ise genel anlamda üretici firma tarafından sağlanan mesafe bilgisi daha iyi sonuç vermiştir
Sodyum Bor Hidrürden Hidrojen Eldesinde Kullanılan Farklı Çözücü Ortamların Etkinliğinin Veri Zarflama Analizi Yöntemi ile Değerlendirilmesi
No full textToday, interest in alternative energy sources has increased due to the rapid depletion of fossil energy sources and the damage they cause to the environment. Hydrogen energy is a good alternative due to its abundant availability, high energy value, environmentally friendly and clean. In this study, the performance analysis of hydrogen production experiments by green synthesis from sodium boron hydride was carried out by Data Envelopment Analysis. Data Envelopment Analysis (DEA) is a non- parametric efficiency method developed to measure the relative efficiencies of decision-making units (DMUs) that are similar to each other in terms of the goods and services they produce. Input-oriented CCR was used as the analysis method. In the analysis, NaOH, catalyst and sodium boron hydride quantities are taken as inputs and hydrogen generation rate is taken as output. The analyses were performed separately for water, water-ethanol and methanol media. The results of the analyses are discussed.Günümüzde fosil enerji kaynaklarının hızla tükenmesi ve çevreye verdikleri zararlardan dolayı alternatif enerji kaynaklarına olan ilgi artmıştır. Bol miktarda oluşu, enerji değeri yüksek, çevreci ve temiz olması gibi sebeplerden hidrojen enerjisi iyi bir alternatif konumundadır. Bu çalışmada sodyum bor hidrürden yeşil sentez yoluyla hidrojen üretim deneylerinin performans analizi Veri Zarflama Analizi ile yapılmıştır. Veri Zarflama Analizi (VZA), ürettikleri mal ve hizmet açısından birbirine benzeyen karar verme birimlerinin (KVB) göreli etkinliklerinin ölçülmesi amacıyla geliştirilmiş parametresiz bir etkinlik yöntemidir. Analiz yöntemi olarak girdi odaklı CCR modeli kullanılmıştır. Analizde girdi olarak NaOH, katalizör ve Sodyum bor hidrür miktarları alınırken çıktı olarak ise hidrojen üretim hızı alınmıştır. Analizler su, su-etanol ve metanol ortamları için ayrı ayrı yapılmıştır. Analiz sonucunda çıkan bulgular tartışılmıştır
An In-Depth Study To Fine-Tune the Hyperparameters of Pre-Trained Transfer Learning Models With State-Of Optimization Methods: Osteoarthritis Severity Classification With Optimized Architectures
No full textDiscrete ; continuous optimization constitutes a challenging task and generally rises as an NP-hard problem. In the literature, as a derivative of this type of optimization issue, hyperparameter optimization of transfer learning (TL) architectures is not efficiently analyzed as a detailed survey in the literature. In this paper, the optimized TLbased models are effectively examined to handle this issue which constitutes the main aim of our study. For evaluation, knee osteoarthritis (KOA - a chronic degenerative joint disorder) dataset is handled to perform two challenging classification tasks which reveal the second aim of our study, i.e. binary- and multi-categorizations on KOA X-ray images. To fine-tune the hyperparameters of TL models, state-of-the-art optimization methods are chosen and compared on this competitive - NP-hard problem. Sixteen optimized architectures are designed using four efficient optimization methods (ASPSO, CDW-PSO, CSA, MSGO) and four oft-used TL models (MobileNetV2, ResNet18, ResNet50, ShuffleNet) to classify the X-ray KOA images. Regarding the experiments on both categorization tasks, the MSGO algorithm arises as more robust to be considered for hyperparameter tuning of TLbased models by achieving reliable performance. In addition, it's seen that MobileNetV2 and ResNet-based models come to the forefront for X-ray imaging-based classification by achieving high accuracy rates due to the usage of residual blocks. Consequently, in terms of mean accuracy, ResNet50-MSGO and MobileNetV2-CSA respectively record 93.15 % and 93.29 % success rates on multiclass categorization, while ResNet18-CDW-PSO and MobileNetV2-MSGO provide the same highest score of 99.43 % on binary categorization.Coordinatorship of Konya Technical University's Scientific Research ProjectsThis work is supported by the Coordinatorship of Konya Technical University's Scientific Research Projects
Türkiye'deki Süpermarketler için Yaş Evaporatörlü ve Paralel Kompresörlü Co2 Booster Soğutma Çevrimlerinin Enerji ve Çevre Analizi
No full textCO2 booster soğutma sistemleri yüksek enerji verimliliğine sahip olup çevre dostudur. Bu nedenle, bu çalışmada süpermarketler için CO2 akışkanlı yaş evaporatörlü ve paralel kompresörlü soğutma çevrimi (BFP), BFP’ye mekanik aşırı soğutma eklenen soğutma çevrimi (BFP-MSC) ve BFP’de buharlaşmalı soğutma kullanılan soğutma çevrimi (BFP-EVC) incelenmiştir. Bu sistemler analiz edilerek enerji ve çevre performansı açısından hangi sistemin daha iyi performans gösterdiği literatürde ilk kez Türkiye'deki süpermarketler için ortaya konulmuştur. Araştırma sonuçlara göre, BFP-MSC’nin aynı kuru termometre sıcaklıklarında BFP'ye göre %16.67'ye kadar daha yüksek soğutma performans katsayısına (COP) sahip olduğu belirlenmiştir. Bunun yanı sıra, her şehirde BFP-EVC, en düşük yıllık enerji tüketimine (AEC) sahiptir, onu BFP-MSC ve ardından BFP takip etmektedir. BFP-EVC'nin BFP'ye göre sağladığı yıllık tasarruf %10.81 ile %25.47 arasında değişmektedir. Ek olarak, BFP-EVC, yaş termometre sıcaklıklarına bağlı olarak analiz edildiği için, nem oranının düşük olduğu şehirlerde daha yüksek tasarruflar sağlamaktadır
Schreier Multisets and the S-Step Fibonacci Sequences
No full textInspired by the surprising relationship (due to A. Bird) between Schreier sets and the Fibonacci sequence, we introduce Schreier multisets and connect these multisets with the s-step Fibonacci sequences, defined, for each s ≥ 2, as: F(s) 2−s=· · ·= F(s)0 = 0, F(s)1 = 1, and Fn(s) = F(s)n−1+· · ·+Fn−s,(s) for n ≥ 2. Next, we use Schreier-type conditions on multisets to retrieve a family of sequences which satisfy a recurrence of the form a(n) = a(n − 1) + a(n − u), with a(n) = 1 for n = 1, …, u. Finally, we study nonlinear Schreier conditions and show that these conditions are related to integer decompositions, each part of which is greater than the number of parts raised to some power. © 2024, Colgate University. All rights reserved.Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFIH: 2019-2.1.11-TÉT-2020-00165; Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFIH; Hungarian Scientific Research Fund, OTKA: 128088, 130909; Hungarian Scientific Research Fund, OTKA; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV, VEGA: VEGA 1/0776/21; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV, VEG
Self-Sensing Behavior of Carbon Fiber Reinforced Lightweight Cementitious Composites Under Simultaneous Conditions of Mechanical Loading and Environmental Effects
No full textCement-based materials can be endowed with piezo-resistive behavior having a huge potential to provide continuous structural health monitoring for several civil engineering applications. Although piezo-resistivity of cement-based materials have been addressed for a few decades under mechanical loading and ambient conditions, a better understanding of the simultaneously occurring effect of different environmental conditions can largely foster their widespread transfer into practice. The current investigation undertakes the self-sensing ability of lightweight cementitious composites under mechanical loading superimposed with different environmental conditions such as temperature, moisture and freeze/thaw cycles. The lightweight cementitious composites were designed pre-targeted having a compressive strength of at least 16 MPa and a density of 1300 kg/m3 to be compatible with the prescriptive of lightweight structural design where self-sensing is of interest in structural/ non-structural applications. Our results revealed that the effect of moisture favors the self-sensing behavior without mechanical loading, however, piezo-resistivity was adversely affected during mechanical loading. The self-sensing ability of the specimens under elevated temperature was similar with and without mechanical loading and were highly responsive compared to specimens at ambient conditions. On the other hand, the electrical resistivity of cyclic frost action was continuously monitored, and specimens were responsive to changes of strain due to viscosity of water and the change of water-saturation conditions.The authors would like to acknowledge the support by the COST Action CA19118 EsSENce ("High-performance Carbon-based Composites with Smart Properties for Advanced Sensing Applications") , funded by the COST Association (European Cooperation in Science and Technology) . Additionally, the authors thank the German Science Foundation (Deutsche Forschungsgemeinschaft, DFG) for funding the project INST 436/16-1.COST Action - [CA19118]; COST Association (European Cooperation in Science and Technology); German Science Foundation (Deutsche Forschungsgemeinschaft, DFG) [INST 436/16-1
Cognitive Mapping and Space Syntax Analysis of Universal Design Principles: the Case of the Üsküdar Barrier-Free Life Center.
No full textThe purpose of this research was to examine universal design concepts and principles. Within the scope of the research, the spatial and structural features of the Istanbul-Üsküdar Barrier-Free Life Center were examined. The space syntax analysis method was applied in order to access the numerical data of the syntactic analysis of the space, and cognitive mapping analysis was performed in order to reflect the spaces formed in the minds of individuals in the cognitive maps of the space on the drawings. The participants and the sample were selected among individuals who use this place via the random sampling method. As a result of this research, the design features of a space used by disabled and non-disabled individuals, design criteria, syntagmatic features of the space, and cognitive features of the space were determined, and inferences that can serve as examples for the spaces to be built in the future were presented.Bu araştırmanın amacı, evrensel tasarım kavramları ve ilkeleri incelenerek Üsküdar Engelsiz Yaşam Merkezi örneği üzerinden açıklanmaya çalışılacaktır. Araştırma kapsamında Üsküdar Engelsiz Yaşam Merkezi yapısal, mekânsal ve iç mekân özellikleri incelemektir. Bu araştırmada uygulanan yöntem mekânın dizimsel analizinin sayısal verilerine ulaşabilmek için mekân dizim analizi (space syntax) ve mekânın bilişsel haritalarında bireylerin zihinlerinde oluşan mekânların çizime yansıtılması amacıyla bilişsel haritalama analizi (cogntive mapping analysis) yapılmıştır. Araştırmanın evrenini Üsküdar Yaşam Merkezi ve örneklemi ise bu mekânı kullanan (engelli veya engelsiz) bireyler arasından rastgele örnekleme yöntemiyle seçilmiştir. Bu araştırma sonucunda engelli ve engelsiz bireylerin kullandıkları bir mekânın tasarım özellikleri, tasarım kriterleri, mekânın dizimsel özellikleri ve mekânın bilişsel özellikleri tespit edilerek gelecekte yapılacak olan mekânlar için örnek teşkil edebilecek çıkarımlar ortaya koymaktadır