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Explainable fNIRS-based pain decoding under pharmacological conditions via deep transfer learning approach
No full textYukselen, Gulnaz/0000-0001-7532-9327Significance: Assessment of pain and its clinical diagnosis rely on subjective methods which become even more complicated under analgesic drug administrations. Aim: We aim to propose a deep learning (DL)-based transfer learning (TL) methodology for objective classification of functional near-infrared spectroscopy (fNIRS)-derived cortical oxygenated hemoglobin responses to painful and non-painful stimuli presented under different timings post-analgesic and placebo drug administration. Approach: A publicly available fNIRS dataset obtained during painful/non-painful stimuli was used. Separate fNIRS scans were taken under the same protocol before drug (morphine and placebo) administration and at three different timings (30, 60, and 90 min) post-administration. Data from pre-drug fNIRS scans were utilized for constructing a base DL model. Knowledge generated from the pre-drug model was transferred to six distinct post-drug conditions by following a TL approach. The DeepSHAP method was utilized to unveil the contribution weights of nine regions of interest for each of the pre-drug and post-drug decoding models. Results: Accuracy, sensitivity, specificity, and area under curve (AUC) metrics of the pre-drug model were above 90%, whereas each of the post-drug models demonstrated a performance above 90% for the same metrics. Post-placebo models had higher decoding accuracy than post-morphine models. Knowledge obtained from a pre-drug base model could be successfully utilized to build pain decoding models for six distinct brain states that were scanned at three different timings after either analgesic or placebo drug administration. The contribution of different cortical regions to classification performance varied across the post-drug models. Conclusions: The proposed DL-based TL methodology may remove the necessity to build DL models for data collected at clinical or daily life conditions for which obtaining training data is not practical or building a new decoding model will have a computational cost. Unveiling the explanation power of different cortical regions may aid the design of more computationally efficient fNIRS-based brain-computer interface (BCI) system designs that target other application areas
A Search for Top-Squark Pair Production, in Final States Containing a Top Quark, a Charm Quark and Missing Transverse Momentum, Using the 139 Fb-1 of Pp Collision Data Collected by the Atlas Detector
No full textSnesarev, Andrei/0000-0002-9067-8362; Villa, Mauro/0000-0002-9181-8048; Oreglia, Mark/0000-0001-6203-2209; Scharf, Christian/0000-0002-0294-1205; Maj, Klaudia/0000-0003-4819-9226; Bouhova-Thacker, Evelina/0000-0002-5103-1558; Grandi, Mario/0000-0002-5924-2544; Bianco, Gianluca/0000-0003-4473-7242; Mascione, Daniela/0000-0001-8660-9893; Schopf, Elisabeth/0000-0002-9340-2214; Evans, Levi/0000-0002-4333-5084; Dado, Tomas/0000-0002-7050-2669; Ventura-Gonzalez, Salvador/0000-0001-5246-0779; Ulloa Poblete, Pablo Augusto/0000-0002-0789-7581; Rebuzzi, Daniela Marcella/0000-0003-4461-3880; Gessinger, Paul/0000-0002-3056-7417; Lacasta, Carlos/0000-0002-2623-6252; Cepaitis, Vilius/0000-0002-4809-4056; Dao, Valerio/0000-0003-1645-8393; Blue, Andrew/0000-0002-7716-5626; Khoo, Teng Jian/0000-0002-5954-3101; Walder, James/0000-0002-9039-8758; Vari, Riccardo/0000-0002-2814-1337; Novak, Tadej/0000-0002-3053-0913; Albert, Justin/0000-0003-0253-2505; Deliot, Frederic/0000-0003-0777-6031; Yabsley, Bruce/0000-0002-2680-0474; Sommer, Philip/0000-0003-1703-7304; Volkotrub, Yuriy/0000-0002-3114-3798; Yang, Siqi/0000-0002-0204-984X; Lysak, Roman/0000-0003-2990-1673; Mtintsilana, Onesimo/0000-0003-2168-4854; Alonso, Francisco/0000-0001-9431-8156; Roland, Christophe/0000-0003-2084-369X; Vergis, Christos/0000-0002-3228-6715; Merlassino, Claudia/0000-0002-5445-5938; Dimitriadi, Christina/0000-0002-9605-3558; Munoz Perez, David/0000-0003-3215-6467; Weber, Michele/0000-0002-2770-9031; Giuli, Francesco/0000-0002-8506-274X; Schultz-Coulon, Hans-Christian/0000-0002-0860-7240; Qiu, Tong/0000-0001-5047-3031; D'Eramo, Louis/0000-0002-4910-5378; Islam, Wasikul/0000-0002-5624-5934; Meloni, Federico/0000-0001-7075-2214; Bouquet, Romain/0000-0001-9683-7101; Wang, Zirui/0000-0002-0928-2070; Majersky, Oliver/0000-0001-8857-5770; Ali, Hafiz Muhammad/0000-0002-9885-5933; Vivarelli, Iacopo/0000-0003-0097-123X; Gonski, Julia/0000-0003-2037-6315; Nielsen, Jason/0000-0002-9175-4419; Pham, Thu Lh/0000-0002-8859-1313; Vazquez Schroeder, Tamara/0000-0002-9780-099X; Muller, Roman/0000-0002-5835-0690; Lister, Alison/0000-0002-1552-3651; Duehrssen-Debling, Michael/0000-0002-5833-7058; Rieger, Oliver/0009-0008-3521-1920; Yorita, Kohei/0000-0003-1988-8401; Zhang, Zhicai/0000-0002-1630-0986; Ju, Xiangyang/0000-0002-9745-1638; Umaka, Ejiro/0000-0001-7725-8227; Jimenez Pena, Javier/0000-0002-8705-628X; Keeler, Richard/0000-0002-0510-4189; Adye, Tim/0000-0003-0627-5059; Zoch, Knut/0000-0003-2138-6187; Guerrero Rojas, Jesus/0000-0001-8487-3594; Sykora, Ivan/0000-0003-3447-5621; Wu, Yusheng/0000-0002-1528-4865; Li, Liang/0000-0001-6411-6107; Gregor, Ingrid Maria/0000-0002-5976-7818; Kono, Takanori/0000-0003-1553-2950; , Alessandro/0000-0002-8224-6105; Torro Pastor, Emma/0000-0002-5507-7924; Morii, Masahiro/0000-0001-9324-057X; Gabrielli, Andrea/0000-0003-0768-9325; Chudoba, Jiri/0000-0002-6425-2579; Li, Huanguo/0000-0002-2459-9068; Wendland, Bjorn/0000-0003-1623-3899; Sanchez, Javier/0000-0001-9913-310X; Usman, Muhammad/0000-0003-1950-0307; Pottgen, Ruth/0000-0002-3304-0987; Jia, Jiangyong/0000-0002-5725-3397; Shabalina, Elizaveta/0000-0003-4849-556X; Leban, Blaz/0000-0003-1501-7262; Angerami, Aaron/0000-0001-7834-8750; Pirttikoski, Antti/0009-0002-3707-1446; Stucci, Stefania/0000-0002-1639-4484; Thomson, Evelyn/0000-0001-6031-2768; Saibel, Andrej/0000-0002-9932-7622; Sawyer, Craig/0000-0002-2027-1428; Liu, Xinyan/0000-0003-1890-2275; Kay, Ellis/0000-0002-6304-3230; Gurdasani, Simran Sunil/0000-0002-8836-0099; Simoniello, Rosa/0000-0003-2042-6394; Behr, J. Katharina/0000-0002-5501-4640; Gutschow, Christian/0000-0003-0857-794X; Bednyakov, Vadim/0000-0003-4864-8909; Cranmer, Kyle/0000-0002-5769-7094; Chwastowski, Janusz/0000-0002-6190-8376; Villaplana Perez, Miguel/0000-0002-0048-4602; Doglioni, Caterina/0000-0002-1509-0390; Shahinian, Jeffrey/0000-0002-1325-3432; Sioli, Maximiliano/0000-0002-0912-9121; Faltova, Jana/0000-0003-4278-7182; Mcpherson, Robert/0000-0001-9211-7019; Dell'Asta, Lidia/0000-0002-9601-4225; Bouaouda, Khalil/0000-0002-7723-5030; Bhattarai, Prajita/0000-0001-9977-0416; Padilla, Cristobal/0000-0001-7951-0166; Winklmeier, Frank/0000-0001-8290-3200; Burlayenko, Oleksandr/0000-0001-8283-935X; Guo, Yuxiang/0000-0002-6027-5132; Stockton, Mark/0000-0001-9679-0323; Nikiforou, Nikiforos/0000-0003-1267-7740; Beau, Tristan/0000-0002-2022-2140; Bona, Marcella/0000-0002-9660-580X; Hansen, Peter Henrik/0000-0002-6764-4789; Gorisek, Andrej/0000-0002-3903-3438; Hillier, Stephen/0000-0002-7599-6469; Vickey Boeriu, Oana/0000-0002-6497-6809; Delsart, Pierre-Antoine/0000-0002-9556-2924; Les, Robert/0000-0002-8875-1399; Elsing, Markus/0000-0002-1213-0545; Pascual Dominguez, Luis/0000-0003-4701-9481; Rimoldi, Marco/0000-0003-1165-7940; Hrynevich, Aliaksei/0000-0002-5411-114X; Tal Hod, Noam/0000-0001-5241-0544; Vermeulen, Jos/0000-0003-4378-5736; Pleskot, Vojtech/0000-0001-5435-497X; Varni, Carlo/0000-0001-6733-4310; Zamora-Saa, Jilberto/0000-0002-5030-7516; Vannicola, Damiano/0000-0001-6814-4674; Zanzi, Daniele/0000-0002-1222-7937; Gomez Delegido, Antonio Jesus/0000-0003-4315-2621; Alexa, Calin/0000-0003-0922-7669; Korcyl, Krzysztof/0000-0001-8085-4505; Miu, Ovidiu/0000-0002-0287-8293; Mijovic, Liza/0000-0003-0162-2891; Sawada, Ryu/0000-0002-2226-9874; Mildner, Hannes/0000-0002-0384-6955; Kourlitis, Vangelis/0000-0001-6568-2047; Britton, David/0000-0001-9998-4342; Varvell, Kevin/0000-0003-1017-1295; Thompson, Paul/0000-0002-6239-7715; Clark, Allan/0000-0001-8341-5911; Grivaz, Jean-Francois/0000-0003-4793-7995; Yacoob, Sahal/0000-0001-6977-3456; Nasri, Salah/0000-0002-5985-4567; Duperrin, Arnaud/0000-0002-5789-9825; Navarro Gonzalez, Josep/0000-0002-4172-7965; Liu, Bingxuan/0000-0002-0721-8331; Lefebvre, Michel/0000-0002-5560-0586; Heinlein, James/0000-0001-6878-9405; Vranjes, Nenad/0000-0001-5415-5225; Kortman, Bryan Alexander/0000-0001-7081-3275; Fiorini, Luca/0000-0002-5070-2735; Dunne, Katherine/0000-0003-2626-2247; Hugging, Fabian/0000-0002-7472-3151; Stupak Iii, John/0000-0001-9610-0783; Ryzhov, Andrey/0000-0002-0623-7426; Koffas, Thomas/0000-0001-9612-4988; Dittus, Fridolin/0000-0002-1760-8237; Ali, Babar/0000-0001-8653-5556; Formica, Andrea/0000-0001-8308-2643; Tudorache, Alexandra/0000-0001-6307-1437; Chu, Ming-Chung/0000-0002-1971-0403; Panduro Vazquez, Jose Guillermo/0000-0003-2605-8940; Bianchi, Riccardo Maria/0000-0001-7345-7798; Proklova, Nadezda/0000-0002-5237-0201; Kurchaninov, Leonid/0000-0001-9392-3936; Khoda, Elham E/0000-0001-8720-6615; Chen, Hucheng/0000-0002-9936-0115; Kodys, Peter/0000-0002-8644-2349; Simsek, Sinem/0000-0002-9650-3846; Keaveney, James/0000-0003-0766-5307; Cetin, Serkant Ali/0000-0001-5050-8441; Chevalier, Laurent/0000-0003-3762-7264; Grancagnolo, Sergio/0000-0001-8490-8304; Van Vulpen, Ivo/0000-0001-7074-5655; Sato, Koji/0000-0001-8988-4065; Coelli, Simone/0000-0002-5145-3646; Liu, Minghui/0000-0003-0056-7296; Affolder, Anthony/0000-0002-9058-7217; Parajuli, Santosh/0000-0003-1499-3990; Vormwald, Benedikt/0000-0003-2607-7287; Heinrich, Jochen Jens/0000-0002-0253-0924; Lie, Ki/0000-0002-5779-5989; Davidek, Tomas/0000-0002-3770-8307; Snyder, Scott/0000-0001-8610-8423; Bogavac, Danijela/0000-0003-2138-9062; Tudorache, Valentina/0000-0001-5384-3843; Fox, Harald/0000-0003-3089-6090; Genest, Marie-Helene/0000-0002-4098-2024; Siral, Ismet/0000-0003-4554-1831; Beringer, Juerg/0000-0002-9975-1781; Feligioni, Lorenzo/0000-0002-1403-0951; Djama, Fares/0000-0003-1881-3360; Onyisi, Peter/0000-0003-4201-7997; Mondal, Santu/0000-0002-6965-7380; Kvam, Audrey/0000-0001-7243-0227; Cerri, Alessandro/0000-0002-1904-6661; Ohm, Christian/0000-0002-8015-7512; Zerradi, Soufiane/0000-0001-9101-3226; Roos, Lydia/0000-0001-7151-9983; Nitschke, Jan-Eric/0000-0002-0174-4816; Penc, Ondrej/0000-0002-5433-3981; Komarek, Tomas/0000-0002-3047-3146; Delitzsch, Chris Malena/0000-0001-7021-3333; Glasman, Claudia/0000-0003-2025-3817; Sessa, Marco/0000-0002-1402-7525; Juste, Aurelio/0000-0002-1558-3291; Djobava, Tamar/0000-0002-9414-8350; Franklin, Melissa/0000-0002-6595-883X; Sandesara, Jay/0000-0002-6016-8011; Bandyopadhyay, Anjishnu/0000-0002-5256-839X; Przybycien, Mariusz/0000-0002-9235-2649; Rescia, Alberto/0000-0003-2258-314X; Cremonini, Davide/0000-0003-1687-3079; Auriol, Adrien/0000-0002-3623-1228; Fawcett, William/0000-0003-2596-8264; Jacques Costa, Antonio/0000-0001-6305-8400; Dell'Acqua, Andrea/0000-0003-2453-7745; Stugu, Bjarne/0000-0002-1728-9272; Hopkins, Walter/0000-0001-7814-8740; Moreno Martinez, Carlos/0000-0002-5719-7655; Dam, Mogens/0000-0001-6278-9674; Rodrigues, Marcus Vinicius/0000-0002-7906-8088; Da Fonseca Pinto, Joao Victor/0000-0003-1746-1914; Gauzzi, Paolo/0000-0003-4841-5822; Vasile, Matei-Eugen/0000-0001-8415-0759; Pater, Joleen/0000-0002-0598-5035; White, Martin/0000-0001-5474-4580; Potepa, Patrycja Anna/0000-0002-1325-7214; D'Amen, Gabriele/0000-0002-9742-3709; Long, Jonathan David/0000-0002-2115-9382; Nobe, Takuya/0000-0002-5809-325X; Turra, Ruggero/0000-0001-8740-796X; Kumari, Neelam/0000-0001-9174-6200; Mokgatitswane, Gaogalalwe/0000-0001-9878-4373; Gonella, Laura/0000-0002-4919-0808; Goossens, Luc/0000-0002-2536-4498; Jovicevic, Jelena/0000-0001-5650-4556; Adamczyk, Leszek/0000-0002-5859-2075; Yamaguchi, Yohei/0000-0002-3725-4800; Shojaii, Jafar (Seyed R)/0000-0002-9449-0412; Azuelos, Georges/0000-0003-4241-022X; Al Khoury, Konie/0000-0002-0547-8199; Ould-Saada, Farid/0000-0002-9404-835X; Yuan, Man/0000-0002-0991-5026; Smirnov, Yury/0000-0002-2891-0781; Dova, Maria Teresa/0000-0001-6113-0878; Barak, Liron/0000-0002-3436-2726; Betti, Alessandra/0000-0003-0839-9311; Rossi, Eleonora/0000-0002-2146-677X; Balek, Petr/0000-0002-0942-1966; Lee, Suhyun/0000-0003-0836-416X; Saito, Masahiko/0000-0001-5564-0935; Hays, Chris/0000-0003-2371-9723; Schoeffel, Laurent/0000-0002-8081-2353; Ridel, Melissa/0000-0002-2601-7420; Luehring, Frederick/0000-0001-8721-6901; Arling, Jan-Hendrik/0000-0002-1577-5090; Alderweireldt, Sara/0000-0002-8224-7036; Buckley, Andy/0000-0001-8355-9237; Windischhofer, Philipp/0000-0001-5038-1399; Ellis, Nicolas/0000-0002-1920-4930; Castillo, Florencia Luciana/0000-0002-1172-1052; Tariq, Khuram/0000-0002-0584-8700; Pleier, Marc-Andre/0000-0002-9461-3494; Arguin, Jean-Francois/0000-0003-0229-3858; Schmitt, Christian/0000-0003-1471-690X; Strandberg, Jonas/0000-0002-8913-0981; Ince Lezki, Merve/0000-0001-6907-0195; Ozturk, Nurcan/0000-0003-1125-6784; Nairz, Armin/0000-0003-3561-0880; Henkelmann, Lars/0000-0001-8231-2080; Weber, Christian/0000-0002-8659-5767; Stanislaus, Beojan/0000-0001-9007-7658; Murray, William/0000-0003-1710-6306; Ntekas, Konstantinos/0000-0001-9252-6509; Sopczak, Andre/0000-0001-6981-0544; Aad, Georges/0000-0002-6665-4934; Liu, Mingyi/0000-0002-0236-5404; Santpur, Sai Neha/0000-0001-6467-9970; Leney, Katharine/0000-0002-1525-2695; Di Nardo, Roberto/0000-0003-1111-3783; Wenaus, Torre/0000-0002-8678-893X; Avolio, Giuseppe/0000-0003-2664-3437; Sadrozinski, Hartmut/0000-0003-0019-5410; Warburton, Andreas/0000-0002-2298-7315; Ezhilov, Alexey/0000-0002-7520-293X; Pan, Tong/0000-0002-4700-1516; Morange, Nicolas/0000-0003-0047-7215; Martin-Haugh, Stewart/0000-0001-9457-1928; Hadef, Asma/0000-0003-2508-0628; Alves, Fabio Lucio/0000-0002-1626-6255; Giordani, Mario/0000-0002-0792-6039; Vetterli, Michel/0000-0002-7223-2965; Tian, Yusong/0000-0001-8739-9250; Gonzalez Sevilla, Sergio/0000-0003-4458-9403; Cadamuro, Luca/0000-0001-8789-610X; Moreno Llacer, Maria/0000-0003-1113-3645; Zhang, Zhiqing/0000-0002-7853-9079; Wang, Xiaoning/0000-0002-2411-7399; Sforza, Federico/0000-0002-4065-7352; Ricci, Ester/0000-0002-4222-9976; Maniatis, Ioannis/0000-0002-4362-0088; Tanaka, Reisaburo/0000-0002-9929-1797; Introzzi, Gianluca/0000-0002-1314-2580; Aoki, Masato/0000-0001-7498-0097; Terashi, Koji/0000-0001-6520-8070; Marti-Garcia, Salvador/0000-0002-3897-6223; Worm, Steven/0000-0002-3865-4996; Sciandra, Andrea/0000-0001-7163-501X; Piper, Katie/0000-0002-7669-4518; Cunha Sargedas Sousa, Mario Jose/0000-0001-7991-593X; Munoz Sanchez, Francisca/0000-0002-6374-458X; Jackson, Paul/0000-0002-0847-402X; Grinstein, Sebastian/0000-0002-6460-8694; Brost, Elizabeth/0000-0002-6800-9808; Landon, Murrough/0000-0001-6828-9769; Mindur, Bartosz/0000-0002-5511-2611; Camarero Munoz, Daniel/0000-0002-2855-7738; Atkin, Ryan/0000-0002-1972-1006; Reeves, Kendall/0000-0003-3504-4882; Zenis, Tibor/0000-0001-8265-6916; Taylor, Wendy/0000-0002-6596-9125; Weber, Sebastian/0000-0002-2841-1616; Pereira Sanchez, Laura/0000-0001-7913-3313; Majewski, Stephanie/0000-0002-6871-3395; Mancini, Giada/0000-0001-6158-2751; Alvarez Fernandez, Adrian/0000-0003-1525-4620; Gray, Heather/0000-0002-5293-4716; Wu, Sau Lan/0000-0001-5866-1504; Draguet, Maxence/0000-0003-1530-0519; Bella, Gideon/0000-0002-4009-0990; Alimonti, Gianluca/0000-0002-7128-9046; Gonzalez Suarez, Rebeca/0000-0002-6126-7230; Callea, Giuseppe/0000-0001-5969-3786; Maleev, Victor/0000-0003-1028-8602; Junggeburth, Johannes/0000-0001-7205-1171; Vranjes Milosavljevic, Marija/0000-0003-4477-9733; Gonzalez De La Hoz, Santiago/0000-0001-5304-5390; Lipniacka, Anna/0000-0002-8759-8564; Valente, Marco/0000-0002-0486-9569; Lazzaroni, Massimo/0000-0002-4094-1273; Sun, Shaojun/0000-0001-5295-6563; Silva Oliveira, Marcos Vinicius/0000-0003-2285-478X; Wolter, Marcin/0000-0001-9184-2921; Kar, Deepak/0000-0002-4238-9822; Todorova, Sarka/0000-0003-2433-231X; Fiedler, Petr/0000-0002-1217-4097; Jakoubek, Tomas/0000-0001-7038-0369; Smolek, Karel/0000-0002-5996-7000; Wielers, Monika/0000-0001-9232-4827; Gutierrez Zagazeta, Luis Felipe/0000-0003-0374-1595; Baldin, Evgenii/0000-0002-9854-975X; Du, Dongshuo/0000-0002-6758-0113; Smirnov, Sergei/0000-0002-6778-073X; Baines, John/0000-0003-0770-2702; Cheng, Hok-Chuen/0000-0002-8912-4389; Rousseau, David/0000-0001-7613-8063; Gilbert, Alexander Kevin/0000-0002-8813-4446; Durglishvili, Archil/0000-0003-4157-592X; Wu, Xin/0000-0001-7655-389X; Nanjo, Hajime/0000-0003-0703-103X; Liu, Kun/0000-0001-5807-0501; Saimpert, Matthias/0000-0002-3765-1320; Joos, Hans/0000-0003-4313-4255; De La Torre Perez, Hector/0000-0002-4516-5269; Junkermann, Thomas/0000-0002-1119-8820; Gwenlan, Claire/0000-0002-3518-0617; Chargeishvili, Bakar/0000-0002-5376-2397; Chiarella, Vitaliano/0000-0002-4210-2924; Ballabene, Eric/0000-0001-9700-2587; Degens, Jordy/0000-0002-6966-4935; Trincaz-Duvoid, Sophie/0000-0001-5913-0828; Rohne, Ole Myren/0000-0001-7744-9584; Dong, Qichen/0000-0002-0117-7831; Dabrowski, Wladyslaw/0000-0001-9061-9568; Hill, Ewan/0000-0002-1725-7414; Zhang, Rui/0000-0002-8265-474X; Jamieson, Jonathan/0000-0001-9554-0787; Pollard, Christopher/0000-0002-3690-3960; Koch, Simon Florian/0000-0002-2676-2842; De Sanctis, Umberto/0000-0003-4704-525X; Cueto Gomez, Ana Rosario/0000-0003-1494-7898; Van Gemmeren, Peter/0000-0002-7227-4006; Soualah, Rachik/0000-0003-0124-3410; Uysal, Zekeriya/0000-0002-7110-8065; Franchini, Matteo/0000-0002-4554-252X; Tsai, Fang-Ying/0000-0001-7878-6435; Schramm, Steven/0000-0001-9031-6751; Kulchitsky, Yuri/0000-0002-3036-5575; Sfyrla, Anna/0000-0002-3003-9905; Gagnon, Louis-Guillaume/0000-0003-3000-8479; Mitsou, Vasiliki A./0000-0002-1533-8886; Ebrahim, Abdualazem/0000-0002-5003-1919; Benchekroun, Driss/0000-0001-5196-8327; Willocq, Stephane/0000-0002-4120-1453; Rozen, Yoram/0000-0001-6969-0634; Barr, Alan/0000-0002-3533-3740; Danninger, Matthias/0000-0002-7807-7484; Romano, Marino/0000-0002-6609-7250; Yang, Hongtao/0000-0003-3554-7113; Faraj, Mohammed/0000-0001-9442-7598; Malito, Davide/0000-0002-3996-4662; Sammel, Dirk/0000-0003-4484-1410; Zhang, Yulei/0000-0001-6274-7714; Turtuvshin, Tulgaa/0000-0001-9471-8627; Derendarz, Dominik/0000-0001-5660-3095; Wiedenmann, Werner/0000-0003-3605-3633; El Farkh, Saad/0000-0002-7999-3767; Oh, Alexander/0000-0001-9025-0422; Barisits, Martin/0000-0003-0253-106X; Carra, Sonia/0000-0001-8650-942X; Vale, Tiago/0000-0001-8855-3520; Rummler, Andre/0000-0001-8945-8760; Ghosh, Aishik/0000-0003-0819-1553; Terzo, Stefano/0000-0003-3388-3906; Belfkir, Mohamed/0000-0001-9974-1527; Unal, Guillaume/0000-0001-8130-7423; Das, Sruthy Jyothi/0000-0003-2693-3389; Artoni, Giacomo/0000-0002-3477-4499; Solomon, Shalu/0000-0002-7378-4454; Adelman, Jahred/0000-0002-1041-3496; Montejo Berlingen, Javier/0000-0001-9213-904X; Allport, Philip/0000-0001-7303-2570; Ahmadov, Faig/0000-0003-3644-540X; Resconi, Silvia/0000-0003-2313-4020; Mueller, James/0000-0001-5099-4718; Camarda, Stefano/0000-0003-0479-7689; Dervan, Paul/0000-0003-3929-8046; Coccaro, Andrea/0000-0003-2368-4559; Iuppa, Roberto/0000-0001-5038-2762; Beretta, Matteo Mario/0000-0002-7026-8171; Karpova, Zoya/0000-0003-0254-4629; Corriveau, Francois/0000-0002-4970-7600; Sharma, Abhishek/0000-0003-2250-4181; Carratta, Giuseppe/0000-0002-8846-2714; Levchenko, Mikhail/0000-0002-5495-0656; Shapiro, Marjorie/0000-0001-8540-9654; Smirnova, Oxana/0000-0003-2517-531X; Haas, Andrew/0000-0002-4832-0455; Geanta, Andrei-Alexandru/0000-0003-2781-2933; Thompson, Emily Anne/0000-0001-7050-8203; Heim, Sarah/0000-0002-2639-6571; Burghgrave, Blake/0000-0001-5686-0948; Baron, Petr/0000-0002-5170-0053; Wei, Yingjie/0000-0001-9725-2316; Soumaimi, Zainab/0000-0002-8120-478X; Kharlamova, Tatyana/0000-0002-0387-6804; Qian, Jianming/0000-0003-4813-8167; Bosman, Martine/0000-0002-7290-643X; Iacobucci, Giuseppe/0000-0001-9965-5442; Escalier, Marc/0000-0003-4270-2775; Vos, Marcel/0000-0001-8474-5357; Sinha, Sukanya/0000-0002-2438-3785; Schmitt, Stefan/0000-0001-8387-1853; Moenig, Klaus/0000-0002-3169-7117; Castro, Nuno/0000-0001-8491-4376; Loeschcke Centeno, Gianna/0000-0001-7962-5334; Zhemchugov, Alexey/0000-0002-3360-4965; Ducu, Otilia/0000-0001-5914-0524; Berta, Peter/0000-0003-0780-0345; Sankey, David/0000-0003-0955-4213; Bindi, Marcello/0000-0001-6172-545X; Potter, Christina/0000-0002-9815-5208; Koulouris, Aimilianos/0000-0003-1012-4675; Coadou, Yann/0000-0001-8195-7004; Bassalat, Ahmed/0000-0002-0129-1423; Farrington, Sinead/0000-0001-5350-9271; Stark, Giordon/0000-0001-6616-3433; Ravina, Baptiste/0000-0002-1622-6640; Fisher, Wade/0000-0003-3043-3045; Zorbas, Theodore Georgio/0000-0003-2073-4901; Held, Alexander/0000-0002-8924-5885; Butterworth, Jonathan/0000-0002-5905-5394; Konstantinidis, Nikolaos/0000-0002-4140-6360; Bellos, Panagiotis/0000-0003-2049-9622; Iakovidis, George/0000-0002-0330-5921; Moyse, Edward/0000-0003-4449-6178; Ellert, Mattias/0000-0001-5265-3175; Primavera, Margherita/0000-0002-6866-3818; Kuze, Masahiro/0000-0001-8858-8440; Golling, Tobias/0000-0001-8535-6687; Dyndal, Mateusz/0000-0001-9632-6352; Starovoitov, Pavel/0000-0003-1990-0992; Olivares, Sebastian/0000-0003-4616-6973; Peters, Krisztian/0000-0002-7654-1677; Pascual Dias, Bruna/0000-0002-7673-1067; Straessner, Arno/0000-0003-2460-6659; Mincer, Allen/0000-0002-6307-1418; Yamazaki, Yuji/0000-0003-3710-6995; , Sascha/0000-0003-2941-2829; Pereira Peixoto, Ana Paula/0000-0003-3424-7338; Russell, Heather/0000-0003-4181-0678; Flores Castillo, Luis Roberto/0000-0003-1551-5974; Bortoletto, Daniela/0000-0002-1287-4712; Verissimo De Araujo, Micael/0000-0001-8060-2228; Argyropoulos, Spyridon/0000-0001-7748-1429; Bevan, Adrian/0000-0002-4105-9629; Tzovara, Eftychia/0000-0002-0410-0055; Vincter, Manuella/0000-0002-5338-8972; Balasubramanian, Rahul/0000-0001-5840-1788; Ali, Shahzad/0000-0001-5216-3133; Vukotic, Ilija/0000-0003-0472-3516; Ripellino, Giulia/0000-0002-4053-5144; Evans, Harold/0000-0003-2183-3127; Lawrence, Zak/0000-0002-9035-9679; Javurkova, Martina/0000-0001-8798-808X; Lobodzinska, Ewelina Maria/0000-0001-9012-3431; Alpigiani, Cristiano/0000-0002-7641-5814; Bruscino, Nello/0000-0002-6168-689X; Cairo, Valentina Maria Martina/0000-0002-0758-7575; Lloyd, Stephen/0000-0002-5073-2264; Ezzarqtouni, Sanae/0000-0002-7912-2830; Beacham, James/0000-0003-3623-3335; Mogg, Philipp/0000-0003-2688-234X; Moskalets, Tetiana/0000-0001-6508-3968; Zhou, Ning/0000-0002-1775-2511; Romain, Madar/0000-0002-6875-6408; Ciesla, Krzysztof/0000-0003-2751-3474; Chan, Jay/0000-0001-7069-0295; Dallapiccola, Carlo/0000-0002-1391-2477; Escobar Ibanez, Carlos/0000-0003-4442-4537; Tlou, Humphry/0000-0002-4934-1661; Ekman, Per Alexander/0000-0002-7032-2799; Ran, Kunlin/0000-0003-3119-9924; Fassi, Farida/0000-0002-6423-7213; Stevenson, Thomas/0000-0003-2399-8945; Zenz, Seth/0000-0002-9720-1794; Weingarten, Jens/0000-0003-2165-871X; Bhamjee, Muaaz/0000-0002-2697-4589; Sawyer, Lee/0000-0001-8295-0605; Barberio, Elisabetta/0000-0002-3111-0910; Terron, Juan/0000-0003-0132-5723; Makovec, Nikola/0000-0001-5124-904X; Palestini, Sandro/0000-0002-4110-096X; Xu, Lailin/0000-0001-8997-3199; Kiryunin, Andrey/0000-0001-7490-6890; Mlinarevic, Marin/0000-0003-3587-646X; Antel, Claire/0000-0001-9683-0890; Hoya, Joaquin/0000-0002-7562-0234; Dong, Binbin/0000-0002-6075-0191; Vickey, Trevor/0000-0002-1596-2611; Bold, Tomasz/0000-0002-2432-411X; Li, Shu/0000-0001-7879-3272; Monzani, Simone/0000-0002-0479-2207; Kourkoumelis, Christine/0000-0003-0083-274X; Mohapatra, Soumya/0000-0003-3006-6337; Duda, Dominik/0000-0002-5916-3467; Grabowska-Bold, Iwona/0000-0001-9159-1210; Carlson, Benjamin/0000-0002-7550-7821; Froch, Alexander/0000-0002-8259-2622; Hirose, Shigeki/0000-0002-2389-1286; Pilkington, Andrew/0000-0001-8007-0778; Czodrowski, Patrick/0000-0003-0723-1437; D'Uffizi, Matteo/0000-0003-2499-1649; Roloff, Jennifer/0000-0001-6479-3079; Panizzo, Giancarlo/0000-0002-0352-4833; Mezquita, Costa/0000-0002-2064-2954; Cristinziani, Markus/0000-0003-3893-9171; Arnaez, Olivier/0000-0002-6096-0893; Marzin, Antoine/0000-0003-4364-4351; D'Onofrio, Monica/0000-0003-2408-5099; Kersevan, Borut/0000-0002-4529-452X; Ellinghaus, Frank/0000-0003-3596-5331; Zivkovic, Lidija/0000-0003-4236-8930; Potti, Harish/0000-0002-0800-9902; Li, Zhelun/0000-0001-7096-2158; Bachas, Konstantinos/0000-0002-9047-6517; Little, Jared/0000-0002-9372-0730; Rieck, Patrick
TOBB ETÜ 6. Pediatri Sempozyumu "Doç. Dr. Naciye Gönül Tanır Anısına" : 14 Aralık 2024, Ankara / editörler : Prof. Dr. Zafer Arslan, Prof. Dr. Zeynep Üstünyurt, Doç. Dr. Hatice Tatar Aksoy
No full textSearch for Light Long-Lived Particles in i>pp/I> Collisions at √i>s/I>=13 Tev Using Displaced Vertices in the Atlas Inner Detector
No full textMcKee, Shawn/0000-0002-4551-4502; Mitsou, Vasiliki A./0000-0002-1533-8886; Gonnella, Francesco/0000-0003-0885-1654; Balek, Petr/0000-0002-0942-1966; Ragusa, Francesco/0000-0002-4064-0489; Konstantinidis, Nikolaos/0000-0002-4140-6360; Domijan, Karolina/0009-0001-4200-1592; Zivkovic, Lidija/0000-0003-4236-8930; Camplani, Alessandra/0000-0002-6386-9788; Teixeira-Dias, Pedro/0000-0001-9977-3836; Bold, Tomasz/0000-0002-2432-411X; Mindur, Bartosz/0000-0002-5511-2611; Moszkowicz, Piotr/0000-0001-5269-6191; Rompotis, Nikolaos/0000-0003-2577-1875; Stanislaus, Beojan/0000-0001-9007-7658; Carmignani, Joseph (Joe)/0000-0002-1705-1061; Grabowska-Bold, Iwona/0000-0001-9159-1210; Calafiura, Paolo/0000-0002-1692-1678; Petersen, Troels/0000-0003-0221-3037; Dabrowski, Wladyslaw/0000-0001-9061-9568; Potepa, Patrycja Anna/0000-0002-1325-7214; Kretzschmar, Jan/0000-0002-8515-1355; Mazzeo, Elena/0000-0002-8406-0195; Ventura, Andrea/0000-0002-3368-3413; Oh, Alexander/0000-0001-9025-0422; Carbone, Antonio/0000-0002-4117-3800; Fernandez-Martinez, Pablo/0000-0002-7818-6971; Aad, Georges/0000-0002-6665-4934; Canbay, Ali Can/0000-0003-4602-473X; Gwilliam, Carl/0000-0002-9401-5304; Mlinarevic, Marin/0000-0003-3587-646X; Nasella, Laura/0000-0002-4871-784X; Butterworth, Jonathan/0000-0002-5905-5394; Fiorini, Luca/0000-0002-5070-2735; Maj, Klaudia/0000-0003-4819-9226; Etzion, Erez/0000-0001-6871-7794; KHWAIRA, Yahya/0000-0001-8538-1647; D'Auria, Saverio/0000-0003-3393-6318; Dyndal, Mateusz/0000-0001-9632-6352; Haley, Joseph/0000-0002-6938-7405; Pintucci, Laura/0000-0001-9842-9830; Staszewski, Rafal/0000-0001-7708-9259; Tian, Yusong/0000-0001-8739-9250; Sala, Alessandro/0000-0003-0824-7326; Soto, Orlando/0000-0002-8613-0310A search for long-lived particles (LLPs) using 140 fb(-1) of pp collision data with root s = 13 TeV recorded by the ATLAS experiment at the LHC is presented. The search targets LLPs with masses between 5 and 55 GeV that decay hadronically in the ATLAS inner detector. Benchmark models with LLP pair production from exotic decays of the Higgs boson and models featuring long-lived axionlike particles (ALPs) are considered. No significant excess above the expected background is observed. Upper limits are placed on the branching ratio of the Higgs boson to pairs of LLPs, the cross section for ALPs produced in association with a vector boson, and, for the first time, on the branching ratio of the top quark to an ALP and a u/c quark.We 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 withoutwhomATLAScould not be operated efficiently. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF/SFU (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), RAL (UK), and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [62]. We gratefully acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFWand 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; ARRS and MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF, and Cantons of Bern and Geneva, Switzerland; MOST, Taipei; TENMAK, Turkiye; STFC, United Kingdom; DOE and NSF, USA. Individual groups and members have received support from BCKDF, CANARIE, CRC, and DRAC, Canada; CERN-CZ, PRIMUS 21/SCI/017, FORTE and PRIMUS, Czech Republic; COST, ERC, ERDF, Horizon 2020, ICSCNextGenerationEU 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 1210400, FONDECYT 1230812, FONDECYT 1230987); China: Chinese Ministry of Science and Technology (MOST-2023YFA1605700), National Natural Science Foundation of China (NSFC12175119, NSFC 12275265, NSFC-12075060); Czech Republic: Czech Science Foundation (GACR-2411373S), 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 (FAIRNextGenerationEU 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), 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); 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: 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, 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: Swedish Research Council (Swedish Research Council 2023-04654, VR2018-00482, 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); USA: U.S. Department of Energy (ECA DE-AC02-76SF00515), Neubauer Family Foundation.CERN; NDGF (Denmark, Norway, Sweden); KIT/GridKA (Germany); INFN-CNAF (Italy); NL-T1 (Netherlands), PIC (Spain); RAL (UK); BNL (USA); ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFWand FWF, Austria; ANAS; CNPq; FAPESP, Brazil; NSERC; CFI, Canada; MOST; NSFC, China; MEYS CR, Czech Republic; DNRF; DNSRC, Denmark; IN2P3-CNRS; CEA-DRF/IRFU, France; BMBF; MPG, Germany; RGC and Hong Kong SAR, China; ISF; Benoziyo Center, Israel; INFN, Italy; MEXT; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW, Poland; FCT, Portugal; MNE/IFA, Romania; MESTD, Serbia; MSSR, Slovakia; ARRS; MIZS, Slovenia; MICINN, Spain; SRC; Wallenberg Foundation, Sweden; SNSF, and Cantons of Bern and Geneva, Switzerland; MOST, Taipei; STFC; DOE; NSF; BCKDF; CANARIE; CRC; DRAC, Canada [PRIMUS 21/SCI/017]; 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 [UMO-2019/34/E/ST2/00393, UMO-2020/37/B/ST2/01043, UMO-2021/40/C/ST2/00187, UMO-2022/47/O/ST2/00148, UMO-2023/49/B/ST2/04085]; La Caixa Banking Foundation; CERCA Programme Generalitat de Catalunya; PROMETEO; Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society [NIF-R1-231091]; Leverhulme Trust, United Kingdom; CERN: European Organization for Nuclear Research (CERN PJAS); Chile: Agencia Nacional de Investigacion y Desarrollo (FONDECYT) [1190886]; FONDECYT [1230987]; China: Chinese Ministry of Science and Technology [MOST-2023YFA1605700]; National Natural Science Foundation of China [NSFC12175119, NSFC 12275265, NSFC-12075060]; Czech Republic: Czech Science Foundation [GACR-2411373S]; Ministry of Education Youth and Sports [FORTE CZ.02.01.01/00/22_008/0004632]; PRIMUS Research Programme [PRIMUS/21/SCI/017]; EU [ERC-101002463]; European Union: European Research Council [ERC-948254, ERC 101089007, MUCCA-CHIST-ERA-19-XAI-00]; European Union; France: Agence Nationale de la Recherche [ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21-CE31-0022]; Investissements d'Avenir Labex; Germany: Baden-Wurttemberg Stiftung; Deutsche Forschungsgemeinschaft [DFG-469666862]; Japan: Japan Society for the Promotion of Science (JSPS KAKENHI) [JP21H05085, JP22H01227, JP22H04944, JP22KK0227, NWO Veni 2020-VI]; Norway: Research Council of Norway [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]; Slovenian Research Agency [J1-3010]; Spain: Generalitat Valenciana; FEDER [IDIFEDER/2018/048]; Ministry of Science and Innovation [NextGenEU PCI2022-135018-2]; MICIN FEDER [PID2021-125273NB, RYC2019-028510-I, RYC2020-030254-I, RYC2021-031273-I, RYC2022-038164-I]; GenT Programmes Generalitat Valenciana [CIDEGENT/2019/023, CIDEGENT/2019/027]; Swedish Research Council (Swedish Research Council) [2023-04654, VR2018-00482, VR 2022-03845, VR 2022-04683, VR 2023-03403, 2021-03651]; Knut and Alice Wallenberg Foundation [KAW 2018.0157, KAW 2018.0458, KAW 2019.0447]; Swiss National Science Foundation [SNSF-PCEFP2_194658]; United Kingdom: Leverhulme Trust (Leverhulme Trust) [RPG-2020-004]; USA: U.S. Department of Energy [ECA DE-AC02-76SF00515]; Neubauer Family Foundatio
Switched Neural Networks for Simultaneous Learning of Multiple Functions
No full textThis paper introduces the notion of switched neural networks for learning multiple functions under different switching configurations. The neural network structure has adjustable parameters and for each function the state of the parameter vector is determined by a mask vector, 1/0 for active/inactive or +1/-1 for plain/inverted. The optimization problem is to schedule the switching strategy (mask vector) required for each function together with the best parameter vector (weights/biases) minimizing the loss function. This requires a procedure that optimizes a vector containing real and binary values simultaneously to discover commonalities among various functions. Our studies show that a small sized neural network structure with an appropriate switching regime is able to learn multiple functions successfully. During the tests focusing on classification, we considered 2-variable binary functions and all 16 combinations have been chosen as the functions. The regression tests consider four functions of two variables. Our studies showed that simple NN structures are capable of storing multiple information via appropriate switching
Creating the Modern Iranian Woman: Popular Culture Between Two Revolutions Liora Hendelman-Baavur Cambridge: Cambridge University Press, 2021 Ix + 330 Pages. Isbn 9781108726931
No full text[No abstract available
How Covid-19 Changed Consumer Behavior Trends in Türkiye?
No full textCOVID-19 has altered many aspects of daily life, notably impacting shopping methods. This study examines how these changes affect consumer behavior, focusing on norm sensitivity, risk perception, and digital advertising. The purpose of this research is to understand the role of norm sensitivity, risk perception, and digital advertising as mediators in the relationship between COVID-19 and changes in consumer behavior. Qualitative data is collected from online meetings with 41 participants aged between 19 and 52 and it is analyzed by using MAXQDA. The unique aspect of this study is its qualitative approach and having a relatively large sample size compared to typical qualitative studies. The findings indicate higher sensitivity towards online shopping during COVID-19, perceiving traditional face-to-face shopping as risky mostly due to virus transmission, increased trust in digital channels, the undeniable effects of digital advertisements on purchasing, and the importance of making research before shopping. Furthermore, the findings revealed that shopping methods shifted from traditional face-to-face to online shopping during COVID-19 even in the early times of the pandemic. Based on these findings, businesses should prioritize enhancing their online shopping experiences by improving website usability and security measures. They may also implement safety protocols in physical stores to alleviate consumer concerns. Leveraging targeted digital advertising strategies and investing in consumer research can help businesses adapt to evolving consumer preferences and behaviors
Tehdit Algısı Karşısında Nato'nun Stratejik Konseptlerinin Evrimi: Rusya Federasyonu Ukrayna Savaşı Örneği
No full textThis master's thesis examines the impact of the Russia-Ukraine War on NATO's security strategies within the framework of the concept of threat. NATO is a political-military organization committed to safeguarding the freedom and security of its Allies by responding swiftly to threats. The purpose, mission, and responsibilities of NATO have always been shaped by the international security environment. Its most crucial aim and responsibility have been to provide collective defense against all forms of threats. NATO has responded to developments in international relations and perceived threats through its Strategic Concepts. The changes in NATO's security policies are primarily evaluated within the framework of the NATO 2030 Report and the NATO 2022 Strategic Concept. The threat posed by the Russian Federation- Ukraine War has led to significant changes in NATO's security strategies. As a result, it is concluded that the Russia-Ukraine War has led the Alliance to adopt a more effective defense strategy in response to increasing security threats in Eastern Europe with a new Strategic Concept.Bu yüksek lisans tezinde, Rusya Federasyonu- Ukrayna Savaşı'nın NATO'nun güvenlik stratejileri üzerindeki etkisi tehdit kavramı çerçevesinde incelenmektedir. NATO, Müttefikleri'nin özgürlüğünü ve güvenliğini tehditlere karşı anında cevap vererek güvence altına almayı taahhüt eden siyasi- askeri bir kuruluştur. NATO'nun amacını, görevlerini ve sorumluluklarını her zaman uluslararası güvenlik ortamı belirlemiştir. En önemli amaç ve sorumluluğu, her tür tehdide karşı toplu savunma imkânı sunmak olmuştur. NATO, uluslararası ilişkilerde yaşanan gelişmelere ve algılanan tehditlere Stratejik Konseptler'i sayesinde yanıt vermiştir. NATO'nun güvenlik politikalarındaki değişim temel olarak NATO 2030 Raporu ve NATO 2022 Stratejik Konsept'i çerçevesinde değerlendirilmiştir. Rusya Federasyonu- Ukrayna Savaşı oluşturduğu tehdit ile NATO'nun güvenlik stratejilerinde önemli değişikliklere neden olmuştur. Bunun sonucunda Rusya Federasyonu- Ukrayna Savaşı'nın İttifak nezdinde yeni bir Stratejik Konsept ile Doğu Avrupa'da artan güvenlik tehditleri karşısında daha etkin bir savunma stratejisi benimsemesine neden olduğu çıkarımı yapılmıştır
Kısmi Yük Yenileme Tekniği ile Satırdarbesi Önleme Mekanizmalarının Performansının İyileştirilmesi
No full textRead disturbance in modern DRAM chips is a widespread weakness that is used for breaking memory isolation, one of the fundamental building blocks of security and privacy in memory. RowHammer is a prime example of read disturbance in DRAM where repeatedly accessing (hammering) a row of DRAM cells (DRAM row) induces bitflips in physically nearby DRAM rows (victim rows). Unfortunately, shrinking technology node size exacerbates RowHammer and as such, significantly fewer accesses can induce bitflips with newer DRAM chip generations. To ensure reliable DRAM operation, state-of-the-art mitigation mechanisms restore the charge in potential victim rows (i.e., preventive refresh or charge restoration). With newer DRAM chip generations, these mechanisms perform preventive refresh more aggressively and cause larger performance overheads. To reduce this overhead without sacrificing reliability, security, and safety, our goal is to reduce time spent for preventive refreshes and understand this reduced time's impact on RowHammer. To this end, we present the first rigorous experimental study on the interactions between data retention time, refresh, and RowHammer characteristics in real DRAM chips. We test 388 DDR4 DRAM chips from three major manufacturers and observe that a preventive refresh operation's latency can be significantly reduced (by 64%) at the expense of requiring slightly more (by 0.54%) preventive refresh operations. To leverage this observation, we propose Partial Charge Restoration for Aggressive Mitigation (PaCRAM), a memory controller-based low-cost mechanism that dynamically tunes the refresh latency and adjusts the aggressiveness of existing RowHammer solutions. PaCRAM significantly improves system performance (energy efficiency) by reducing the overhead induced by five RowHammer solutions by 18.95% (14.59%), 12.28% (11.56%), 2.07% (1.15%), 2.56% (2.18%), and 5.37% (4.50%), on average.Modern DRAM çiplerinde gerçekleşen okuma hataları, bellek yalıtımını bozabilen yaygın bir zayıflıktır. Bellek yalıtımı, bellek güvenliği ve güvenilirliğinin temel yapı taşlarından biridir. SatırDarbesi zafiyeti, DRAM'deki okuma hatalarına önemli bir örnektir; burada DRAM hücrelerinin bir satırına (DRAM satırı) tekrar tekrar erişmek (darbeleme), fiziksel olarak yakın DRAM satırlarında (kurban satırlar) bit hatalarına neden olur. Ne yazık ki, teknoloji düğüm boyutunun küçülmesi SatırDarbesi zafiyetini kötüleştirir ve böylece, daha yeni DRAM çip nesillerinde daha az erişim yaparak SatırDarbesi bit hataları oluşturulabilir. Güvenilir DRAM kullanımı için, son teknoloji SatırDarbesi önleme mekanizmaları potansiyel kurban satırlardaki DRAM hücrelerinin yükünü yeniler (önleyici yenileme ya da yük yenileme). Gerçekleştirilen bu önleyici yenileme operasyonu DRAM çipini bir süre kilitleyerek performans kayıplarına yol açar. Daha yeni DRAM çip nesilleri ile bu mekanizmalar önleyici yenilemeyi daha sık gerçekleştirir ve daha büyük performans kayıplarına neden olur. Güvenilirlik ve güvenlikten ödün vermeden bu kaybı azaltmak için bizim amacımız, önleyici yenileme için harcanan zamanı azaltmak ve bu azaltılmış zamanın SatırDarbe zafiyeti üzerindeki etkisini anlamaktır. Bu amaçla, gerçek DRAM çiplerinde veri tutma süresi, yük yenileme ve SatırDarbesi zafiyetinin özellikleri arasındaki etkileşimlere dair ilk kapsamlı deneysel çalışmayı sunuyoruz. Üç büyük DRAM üreticisinden toplam 388 DDR4 DRAM çipini test ediyoruz ve bir yük yenileme operasyonunun gecikmesinin önemli ölçüde azaltılabileceğini (%64 oranında) ve dolayısıyla, biraz daha fazla (%0,54 oranında) önleyici yenileme operasyonu gerektireceğini gözlemliyoruz. Bu gözlemimizi kullanarak, yük yenileme gecikmesini dinamik olarak ayarlayan, mevcut SatırDarbesi önleme mekanizmalarının saldırganlığını düzenleyen ve bellek kontrolcüsü tabanlı düşük maliyetli bir mekanizma olan Kısmi Yük Yenileme ile Agresif Önleme'yi (PaCRAM) öneriyoruz. PaCRAM'i beş son teknoloji SatırDarbesi önleme mekanizması ile kullanarak önleme mekanizmalarının performans (enerji) kayıplarını sırasıyla ortalama olarak %18,95 (%14,59), %12,28 (%11,56), %2,07 (%1,15), %2,56 (%2,18) ve %5,37 (%4,50) oranında azaltarak sistem performansını ve enerji verimliliğini önemli ölçüde artırıyoruz
Hibrit Kafes
No full textBu buluş, boyun bölgesinde ve omurilikte bulunan omurların araşma yerleştirilen, ayrıca kemik yapı ile kolay bir şekilde kaynaması için tercihen polietereterketon (PEEK) malzemeden imal edilen en az bir birinci parçaya (2) ve omurların oluşturduğu baskı kuvvetini karşılayan ve ayrıca kafesin (1) iki omur arasına çakılması sırasında oluşturulan darbelere dayanabilen ve parçalanmayan tercihen titanyum malzemeden imal edilen en az bir ikinci parçaya (3) sahip olan hibrit kafes (1) ilgilidir