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Steroid Versus Steroid Plus Ozone During Posterior Epiduroscopy in the Treatment of Lumbar Herniated Disc: Results of a 1-Year Follow-Up Study
No full textBayram, Derya/0000-0001-8184-5184;Background Ozone has recently been employed in the treatment of low back pain which is a prevalent cause of disability in the population. The objective of this study was to evaluate the effects of the steroids alone or steroids plus ozone during epiduroscopy for chronic low back and radicular lower extremity pain. Methods The files of 76 individuals with chronic lumbar and lower extremity pain who had undergone posterior epiduroscopy were analyzed. One group applied steroids and standard treatment with saline for mechanical disintegration of scarring tissue in the epidural area. Other patients were injected with ozone and steroids in addition to standard treatment. Oswestry Disability Index (ODI) and Visual Analogue Scale (VAS) scores were performed before and following the intervention, at the 1st, 3rd, 6th, and 12th months. The degree of epidural scar tissue was also recorded during epiduroscopy. The classification of pain as either neuropathic or non-neuropathic was determined by the DN4 (Douleur Neuropathique 4) questionnaire. Results of the Patients Satisfaction Scale were noted in the 12th month. Pre- and post-procedure analgesic use and complications were recorded. Results There were 35 and 41 patients in the steroid alone and steroid plus ozone groups, respectively. Patient characteristics were similar, and both treatment groups showed significant differences in mean VAS and ODI scores compared to baseline (p0.001). However, the reduction in VAS scores was more significant in the ozone-added patients. The mean disability scores were comparable for the two groups at all follow-up points. Neuropathic pain was present in 42.9% of patients in the steroid-alone group and 34.1% in the combination group and, on follow-up 11 and 25 patients discontinued medication. The findings revealed the presence of moderate to severe fibrous tissue in 94.3% and 80.5% of the patients, respectively. Satisfied/very satisfied with the procedure was reported by 71% of subjects in the steroid-alone group and 92% of subjects in the steroid-plus-ozone group. Conclusion The combination of epidural ozone with steroids may be a viable option for the management of persistent lumbar and radicular limb pain. For individuals with lumbar herniated discs, this modality has been demonstrated to be both safe and efficacious
Genai Content Detection Task 2: Ai Vs. Human - Academic Essay Authenticity Challenge
No full textThis paper presents a comprehensive overview of the first edition of the Academic Essay Authenticity Challenge, organized as part of the GenAI Content Detection shared tasks collocated with COLING 2025. This challenge focuses on detecting machine-generated vs human-authored essays for academic purposes. The task is defined as follows: “Given an essay, identify whether it is generated by a machine or authored by a human.” The challenge involves two languages: English and Arabic. During the evaluation phase, 25 teams submitted systems for English and 21 teams for Arabic, reflecting substantial interest in the task. Finally, five teams submitted system description papers. The majority of submissions utilized fine-tuned transformer-based models, with one team employing Large Language Models (LLMs) such as Llama 2 and Llama 3. This paper outlines the task formulation, details the dataset construction process, and explains the evaluation framework. Additionally, we present a summary of the approaches adopted by participating teams. Nearly all submitted systems outperformed the n-gram-based baseline, with the top-performing systems achieving F1 scores exceeding 0.98 for both languages, indicating significant progress in the detection of machine-generated text. © 2025 International Conference on Computational Linguistics.Hamad Bin Khalifa University, HBKU, (HBKU-OVPRSRG-02-2); Hamad Bin Khalifa University, HBK
Models for Test Cost Minimization in Database Migration
No full textDatabase migration is a ubiquitous need faced by enterprises that generate and use vast amounts of data. This is because of database software updates, or it is from changes to hardware, project standards, and other business factors. Migrating a large collection of databases is a way more challenging task than migrating a single database because of the presence of additional constraints. These constraints include capacities of shifts and sizes of databases. In this paper, we present a comprehensive framework that can be used to model database migration problems of different enterprises with customized constraints by appropriately instantiating the parameters of the framework. These parameters are the size of each database, the size of each shift, and the cost of testing each application. Each of these parameters can be either constant or arbitrary. Additionally, the cost of testing an application can be proportional to the number of databases that the application uses. We establish the computational complexities of a number of instantiations of this framework. We present fixed-parameter intractability results for various relevant parameters of the database migration problem. We also provide approximability and inapproximability results as well as lower bounds for the running time of any exact algorithm for the database migration problem. We show that the database migration problem is equivalent to a variation of the classical hypergraph partitioning problem. Our theoretical results also imply new theoretical results for the hypergraph partitioning problem that are interesting in their own right. Finally, we adapt heuristic algorithms devised for the hypergraph partitioning problem to the database migration problem, and we also give experimental results for the adapted heuristics. © 2024 INFORMS.Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (122E599, 2018, 2021); Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTA
UAV-Based Cell-Free Massive MIMO: Joint Activation and Power Optimization Under Fronthaul Capacity Limitations
No full textBjornson, Emil/0000-0002-5954-434XWe consider a cell-free massive multiple-input multiple-output (mMIMO) network, where uncrewed aerial vehicles (UAVs) equipped with multiple antennas serve as distributed UAV-access points (UAV-APs). These UAV-APs provide seamless coverage by jointly serving user equipments (UEs) without predefined cell boundaries. However, high-capacity wireless networks face significant challenges due to fronthaul limitations in UAV-assisted architectures. This letter proposes a novel UAV-based cell-free mMIMO framework that leverages distributed UAV-APs to serve UEs while addressing the capacity constraints of wireless fronthaul links. We evaluate functional split Options 7.2 and 8 for the fronthaul links, aiming to maximize the minimum signal-to-interference-plus-noise ratio (SINR) among the UEs and minimize the power consumption by optimizing the transmit powers of UAV-APs and selectively activating them. Our analysis compares sub-6 GHz and millimeter wave (mmWave) bands for the fronthaul, showing that mmWave achieves superior SINR with lower power consumption, particularly under Option 8. Additionally, we determine the minimum fronthaul bandwidth required to activate a single UAV-AP under different split options.IIT Palakkad Technology I Hub Foundation Doctoral Fellowship [IPTIF/HRD/DF/026]This work was supported by the IIT Palakkad Technology IHub Foundation Doctoral Fellowship under Grant IPTIF/HRD/DF/02
Multi-Class Certainty Mapped Network for High Precision Segmentation of High-Altitude Imagery
No full textTaiwan Space Agency (TASA); The Society of Photo-Optical Instrumentation Engineers (SPIE)Satellites and high-altitude unmanned aerial vehicles are the top platforms for electro-optical remote sensing for both civilian and military applications. Since early 2000s high altitude electro-optical remote sensing platforms have been actively used for real-time and offline damage assessment following natural disasters such as earthquakes, floods, and landslides. High accuracy, multi-class automated object segmentation is one of the key processing blocks that makes such applications practical. Given the typical distances between target areas and high-altitude sensing platforms (10s to 1000s of kms) as well as the critical nature of the resulting assessments, the accuracy of segmentation maps is of key interest. In this work we present the Multi-Class Certainty Mapped Network (MCCM-Net) that uses multi-class per-pixel uncertainty to enhance segmentation performance. MCCM-Net explicitly models multi-class uncertainty as the entropy of class probability distribution. Pixel-level uncertainty is then used to iteratively enhance segmentation maps. Our experiments on publicly available benchmark datasets show that MCCM-Net provides state-of-the-art multi-class pixel-level segmentation performance. © 2025 SPIE.TÜBITAK 1501”Design and Development of Edge AI Image Processing Systems for Defense-Oriented Satellites; Savunma Odaklı Uydular ve Insansız Hava Araçları için Uç Nokta Yapay Zeka Görüntü Degerlendirme Sistemi Tasarımı ve Geliştirilmesi, (3240136
Expected Tracking Performance of the Atlas Inner Tracker at the High-Luminosity Lhc
No full textBerger, Nicolas/0000-0002-7963-9725; Lysak, Roman/0000-0003-2990-1673; Gessinger, Paul/0000-0002-3056-7417; Roos, Lydia/0000-0001-7151-9983; Panizzo, Giancarlo/0000-0002-0352-4833; Maeda, Junpei/0000-0002-9084-3305; Tudorache, Valentina/0000-0001-5384-3843; Schmidt, Mustafa/0000-0002-4467-2461; Sykora, Ivan/0000-0003-3447-5621; Zoch, Knut/0000-0003-2138-6187; Wiglesworth, Craig/0000-0001-6219-8946; Russakovich, Nikolai/0000-0003-1927-5322; Sopczak, Andre/0000-0001-6981-0544; Chu, Ming-Chung/0000-0002-1971-0403; Duehrssen-Debling, Michael/0000-0002-5833-7058; Usman, Muhammad/0000-0003-1950-0307; Koffas, Thomas/0000-0001-9612-4988; Marti-Garcia, Salvador/0000-0002-3897-6223; Benchekroun, Driss/0000-0001-5196-8327; Beck, Hans Peter/0000-0001-7212-1096; Evans, Harold/0000-0003-2183-3127; Ju, Xiangyang/0000-0002-9745-1638; Simsek, Sinem/0000-0002-9650-3846; Tudorache, Alexandra/0000-0001-6307-1437; Bakos, Evelin/0000-0002-1110-4433; Coadou, Yann/0000-0001-8195-7004; White, Martin/0000-0001-5474-4580; Landon, Murrough/0000-0001-6828-9769; Cranmer, Kyle/0000-0002-5769-7094; Sedlaczek, Kevin/0000-0003-2052-2386; Sebastiani, Cristiano/0000-0003-1073-035X; Pereira Sanchez, Laura/0000-0001-7913-3313; Ali, Babar/0000-0001-8653-5556; Yu, Yi/0000-0003-4762-8201; Moser, Brian/0000-0001-6750-5060; Held, Alexander/0000-0002-8924-5885; Franklin, Melissa/0000-0002-6595-883X; Carmignani, Joseph (Joe)/0000-0002-1705-1061; Tian, Yusong/0000-0001-8739-9250; Gwilliam, Carl/0000-0002-9401-5304; Iddon, James Philip/0000-0002-2851-5554; Vergis, Christos/0000-0002-3228-6715; Vu, Ngoc Khanh/0000-0002-6251-1178; Ripellino, Giulia/0000-0002-4053-5144; Kiryunin, Andrey/0000-0001-7490-6890; Zhou, Ning/0000-0002-1775-2511; Potter, Christina/0000-0002-9815-5208; Faraj, Mohammed/0000-0001-9442-7598; Dell'Acqua, Andrea/0000-0003-2453-7745; Derendarz, Dominik/0000-0001-5660-3095; Weber, Sebastian/0000-0002-2841-1616; Argyropoulos, Spyridon/0000-0001-7748-1429; Yang, Tianyi/0000-0002-4996-1924; Gwenlan, Claire/0000-0002-3518-0617; Antel, Claire/0000-0001-9683-0890; Ricci, Ester/0000-0002-4222-9976; Dinu, Ioan-Mihail/0000-0002-2683-7349; Koulouris, Aimilianos/0000-0003-1012-4675; Yang, Hongtao/0000-0003-3554-7113; Cindro, Vladimir/0000-0002-2037-7185; Iuppa, Roberto/0000-0001-5038-2762; Liu, Minghui/0000-0003-0056-7296; Brost, Elizabeth/0000-0002-6800-9808; Rohne, Ole Myren/0000-0001-7744-9584; Lopez Solis, Alvaro/0000-0002-0511-4766; Garcia, Carmen/0000-0003-1625-7452; Bevan, Adrian/0000-0002-4105-9629; Schultz-Coulon, Hans-Christian/0000-0002-0860-7240; Bosman, Martine/0000-0002-7290-643X; Canbay, Ali Can/0000-0003-4602-473X; Croft, Vincent Alexander/0000-0002-8731-4525; Valero, Alberto/0000-0002-9776-5880; Kaczmarska, Anna/0000-0002-8880-4120; Haas, Andrew/0000-0002-4832-0455; Rieck, Patrick/0000-0003-0290-0566; Atkin, Ryan/0000-0002-1972-1006; Pollard, Christopher/0000-0002-3690-3960; Siral, Ismet/0000-0003-4554-1831; Petersen, Troels/0000-0003-0221-3037; Yabsley, Bruce/0000-0002-2680-0474; Yamaguchi, Yohei/0000-0002-3725-4800; Kroll, Jiri/0000-0001-6215-3326; Silva Oliveira, Marcos Vinicius/0000-0003-2285-478X; Hoppesch, Matthew/0000-0002-7773-3654; Pani, Priscilla/0000-0003-2149-3791; Ventura, Andrea/0000-0002-3368-3413; Cristinziani, Markus/0000-0003-3893-9171; Kirk, Julie/0000-0001-8096-7577; Schoeffel, Laurent/0000-0002-8081-2353; Ballabene, Eric/0000-0001-9700-2587; D'Eramo, Louis/0000-0002-4910-5378; Canonero, Enzo/0000-0002-7180-4562; Shi, Liaoshan/0000-0001-9532-5075; Keaveney, James/0000-0003-0766-5307; Rescia, Alberto/0000-0003-2258-314X; Kempster, Jacob/0000-0003-4168-3373; Vincter, Manuella/0000-0002-5338-8972; Hopkins, Walter/0000-0001-7814-8740; Little, Jared/0000-0002-9372-0730; Slazyk, Igor/0000-0002-3513-9737; El Ghazali, Yassine/0000-0001-9172-2946; Kay, Ellis/0000-0002-6304-3230; Duperrin, Arnaud/0000-0002-5789-9825; Flores, Marvin/0000-0002-4462-2851; Abramowicz, Halina/0000-0001-5329-6640; Filthaut, Frank/0000-0003-3338-2247; Cueto Gomez, Ana Rosario/0000-0003-1494-7898; Franchini, Matteo/0000-0002-4554-252X; Volkotrub, Yuriy/0000-0002-3114-3798; Manjarres Ramos, Joany/0000-0003-3896-5222; Alves, Fabio Lucio/0000-0002-1626-6255; Chiarella, Vitaliano/0000-0002-4210-2924; Sawyer, Craig/0000-0002-2027-1428; Knue, Andrea/0000-0002-1559-9285; Jones, Eleanor/0000-0001-6289-2292; Vos, Marcel/0000-0001-8474-5357; Chou, Yuan-Tang/0000-0002-2204-5731; Loch, Peter/0000-0002-2005-671X; Aad, Georges/0000-0002-6665-4934; Pilkington, Andrew/0000-0001-8007-0778; Fisher, Wade/0000-0003-3043-3045; Zhang, Rui/0000-0002-8265-474X; Wei, Yingjie/0000-0001-9725-2316; Giuli, Francesco/0000-0002-8506-274X; Winter, Benedict Tobias/0000-0001-9606-7688; Pirttikoski, Antti/0009-0002-3707-1446; Balek, Petr/0000-0002-0942-1966; Bouquet, Romain/0000-0001-9683-7101; Konstantinidis, Nikolaos/0000-0002-4140-6360; Leight, William/0000-0002-2968-7841; Luehring, Frederick/0000-0001-8721-6901; Rebuzzi, Daniela Marcella/0000-0003-4461-3880; Ezzarqtouni, Sanae/0000-0002-7912-2830; Proklova, Nadezda/0000-0002-5237-0201; Zamora-Saa, Jilberto/0000-0002-5030-7516; Smirnova, Oxana/0000-0003-2517-531X; Das, Sruthy Jyothi/0000-0003-2693-3389; Jacques Costa, Antonio/0000-0001-6305-8400; Stark, Giordon/0000-0001-6616-3433; Kartvelishvili, Vakhtang/0000-0002-1957-3787; Liu, Bingxuan/0000-0002-0721-8331; Munoz Perez, David/0000-0003-3215-6467; Lewicki, Maciej Piotr/0000-0002-8972-3066; Van Gemmeren, Peter/0000-0002-7227-4006; Carlson, Benjamin/0000-0002-7550-7821; Beringer, Juerg/0000-0002-9975-1781; Panduro Vazquez, Jose Guillermo/0000-0003-2605-8940; Joos, Hans/0000-0003-4313-4255; Klein, Matthew Henry/0000-0002-9999-2534; Taylor, Wendy/0000-0002-6596-9125; Castro, Nuno/0000-0001-8491-4376; Vazquez Schroeder, Tamara/0000-0002-9780-099X; Mildner, Hannes/0000-0002-0384-6955; Leblanc, Matt/0000-0001-5977-6418; Kulchitsky, Yuri/0000-0002-3036-5575; Heinlein, James/0000-0001-6878-9405; Brandt, Oleg/0000-0001-5219-1417; De Almeida Dias, Flavia/0000-0001-6882-5402; Rompotis, Nikolaos/0000-0003-2577-1875; Iacobucci, Giuseppe/0000-0001-9965-5442; Jia, Jiangyong/0000-0002-5725-3397; Solomon, Shalu/0000-0002-7378-4454; Kono, Takanori/0000-0003-1553-2950; Miu, Ovidiu/0000-0002-0287-8293; Heinrich, Lukas/0000-0002-4048-7584; Cristoforetti, Marco/0000-0002-0127-1342; Ragusa, Francesco/0000-0002-4064-0489; Romain, Madar/0000-0002-6875-6408; Sammel, Dirk/0000-0003-4484-1410; Stockton, Mark/0000-0001-9679-0323; Hugging, Fabian/0000-0002-7472-3151; Ebrahim, Abdualazem/0000-0002-5003-1919; Ellinghaus, Frank/0000-0003-3596-5331; Jakoubek, Tomas/0000-0001-7038-0369; Degens, Jordy/0000-0002-6966-4935; Dyndal, Mateusz/0000-0001-9632-6352; Junggeburth, Johannes/0000-0001-7205-1171; Delitzsch, Chris Malena/0000-0001-7021-3333; Calafiura, Paolo/0000-0002-1692-1678; Padilla, Cristobal/0000-0001-7951-0166; Resconi, Silvia/0000-0003-2313-4020; D'Uffizi, Matteo/0000-0003-2499-1649; El Moussaouy, Ali/0000-0002-9669-5374; Lloyd, Stephen/0000-0002-5073-2264; Maleev, Victor/0000-0003-1028-8602; Vari, Riccardo/0000-0002-2814-1337; Zenz, Seth/0000-0002-9720-1794; Cairo, Valentina Maria Martina/0000-0002-0758-7575; Alexa, Calin/0000-0003-0922-7669; Bindi, Marcello/0000-0001-6172-545X; Karpova, Zoya/0000-0003-0254-4629; Khwaira, Yahya/0000-0001-8538-1647; Bruscino, Nello/0000-0002-6168-689X; Kretzschmar, Jan/0000-0002-8515-1355; Masetti, Lucia/0000-0002-0038-5372; Davidek, Tomas/0000-0002-3770-8307; Bandyopadhyay, Anjishnu/0000-0002-5256-839X; Wolter, Marcin/0000-0001-9184-2921; Leban, Blaz/0000-0003-1501-7262; Pascual Dominguez, Luis/0000-0003-4701-9481; Shen, Qiuping/0000-0002-4085-1227; Heinrich, Jochen Jens/0000-0002-0253-0924; Rurikova, Zuzana/0000-0003-3051-9607; Baines, John/0000-0003-0770-2702; Azuelos, Georges/0000-0003-4241-022X; Formica, Andrea/0000-0001-8308-2643; Baldin, Evgenii/0000-0002-9854-975X; Meloni, Federico/0000-0001-7075-2214; Panwar, Lata/0000-0003-2461-4907; Barberio, Elisabetta/0000-0002-3111-0910; Kumari, Neelam/0000-0001-9174-6200; Ravina, Baptiste/0000-0002-1622-6640; Smirnov, Sergei/0000-0002-6778-073X; Sinha, Sukanya/0000-0002-2438-3785; Zhang, Zhuolin/0000-0002-7936-8419; Yuan, Man/0000-0002-0991-5026; Loeschcke Centeno, Gianna/0000-0001-7962-5334; Sadrozinski, Hartmut/0000-0003-0019-5410; Hirose, Shigeki/0000-0002-2389-1286; Dao, Valerio/0000-0003-1645-8393; Doyle, Anthony/0000-0001-6322-6195; Wengler, Thorsten/0000-0002-4375-5265; Sauvan, Emmanuel/0000-0003-1921-2647; Gutschow, Christian/0000-0003-0857-794X; Vukotic, Ilija/0000-0003-0472-3516; Villa, Mauro/0000-0002-9181-8048; Borissov, Guennadi/0000-0002-4226-9521; Sala, Alessandro/0000-0003-0824-7326; Cepaitis, Vilius/0000-0002-4809-4056; Moss, Joshua/0000-0002-6729-4803; Hank, Michael/0000-0002-4731-6120; Van Vulpen, Ivo/0000-0001-7074-5655; Chevalier, Laurent/0000-0003-3762-7264; Barak, Liron/0000-0002-3436-2726; D'Amen, Gabriele/0000-0002-9742-3709; Turra, Ruggero/0000-0001-8740-796X; De Vivie, Jean-Baptiste/0000-0001-9163-2211; Tal Hod, Noam/0000-0001-5241-0544; Da Fonseca Pinto, Joao Victor/0000-0003-1746-1914; Garcia Navarro, Jose Enrique/0000-0002-0279-0523; Ryzhov, Andrey/0000-0002-0623-7426; Rimoldi, Marco/0000-0003-1165-7940; Hillier, Stephen/0000-0002-7599-6469; Goossens, Luc/0000-0002-2536-4498; Reeves, Kendall/0000-0003-3504-4882; Smirnov, Yury/0000-0002-2891-0781; Barreiro, Fernando/0000-0002-3021-0258; Li, Huanguo/0000-0002-2459-9068; Ferrere, Didier/0000-0002-5687-9240; Gonzalez Sevilla, Sergio/0000-0003-4458-9403; Principe Martin, Miguel Angel/0000-0002-5085-2717; Wang, Zirui/0000-0002-0928-2070; Alderweireldt, Sara/0000-0002-8224-7036; Che, Yimin/0000-0001-6623-1205; Shah, Aashaq/0000-0002-6157-2016; Gonella, Laura/0000-0002-4919-0808; Hidaoui, Mourad/0000-0003-2025-6495; Lux, Adam/0000-0002-3025-3020; Ellert, Mattias/0000-0001-5265-3175; Mkrtchyan, Tigran/0000-0002-5786-3136; Torro Pastor, Emma/0000-0002-5507-7924; Jinnouchi, Osamu/0000-0001-5073-0974; Kumar, Mukesh/0000-0003-3681-1588; Schramm, Steven/0000-0001-9031-6751; Li, Zhelun/0000-0001-7096-2158; Mete, Alaettin Serhan/0000-0002-5508-530X; Zenis, Tibor/0000-0001-8265-6916; Bogavac, Danijela/0000-0003-2138-9062; Tu, Yanjun/0000-0002-5865-183X; Froch, Alexander/0000-0002-8259-2622; , Alessandro/0000-0002-8224-6105; Weber, Christian/0000-0002-8659-5767; Ducu, Otilia/0000-0001-5914-0524; Khoo, Teng Jian/0000-0002-5954-3101; Villaplana Perez, Miguel/0000-0002-0048-4602; Fanti, Marcello/0000-0002-8773-145X; Martin Dit Latour, Bertrand/0000-0003-3420-2105; Hays, Chris/0000-0003-2371-9723; Cooper-Sarkar, Amanda/0000-0002-7107-5902; Costanzo, Davide/0000-0003-4920-6264; Walkowiak, Wolfgang/0000-0002-0385-3784; Gorisek, Andrej/0000-0002-3903-3438; Thomson, Evelyn/0000-0001-6031-2768; Carra, Sonia/0000-0001-8650-942X; Nairz, Armin/0000-0003-3561-0880; Du, Dongshuo/0000-0002-6758-0113; Ulloa Poblete, Pablo Augusto/0000-0002-0789-7581; Meng, Lingxin/0000-0002-2901-6589; Abbott, Braden/0000-0002-5888-2734; Wenaus, Torre/0000-0002-8678-893X; Dallapiccola, Carlo/0000-0002-1391-2477; Belfkir, Mohamed/0000-0001-9974-1527; Faltova, Jana/0000-0003-4278-7182; Oide, Hideyuki/0000-0002-2173-3233; Kar, Deepak/0000-0002-4238-9822; Romano, Marino/0000-0002-6609-7250; Beacham, James/0000-0003-3623-3335; Vetterli, Michel/0000-0002-7223-2965; Wang, Xiaoning/0000-0002-2411-7399; Semushin, Artur/0000-0002-7164-2153; Robson, Aidan/0000-0002-1659-8284; Vale, Tiago/0000-0001-8855-3520; Martinelli, Luca/0000-0002-4466-3864; Iliadis, Dimitrios/0000-0001-6303-2761; Murray, William/0000-0003-1710-6306; Wack, Julian/0009-0004-5387-7866; Guo, Yuxiang/0000-0002-6027-5132; Junkermann, Thomas/0000-0002-1119-8820; Anisenkov, Alexey/0000-0002-7201-5936; Les, Robert/0000-0002-8875-1399; Varvell, Kevin/0000-0003-1017-1295; Zerradi, Soufiane/0000-0001-9101-3226; Reznicek, Pavel/0000-0003-4017-9829; Elsing, Markus/0000-0002-1213-0545; Grivaz, Jean-Francois/0000-0003-4793-7995; Juste, Aurelio/0000-0002-1558-3291; Mueller, James/0000-0001-5099-4718; Dong, Qichen/0000-0002-0117-7831; Valente, Marco/0000-0002-0486-9569; Nobe, Takuya/0000-0002-5809-325X; Gomez Delegido, Antonio Jesus/0000-0003-4315-2621; Raine, John/0000-0002-5987-4648; Nanjo, Hajime/0000-0003-0703-103X; Potti, Harish/0000-0002-0800-9902; Mlinarevic, Marin/0000-0003-3587-646X; Stugu, Bjarne/0000-0002-1728-9272; Primomo, Lorenzo/0000-0002-2699-9444; Majewski, Stephanie/0000-0002-6871-3395; Nitschke, Jan-Eric/0000-0002-0174-4816; Tsai, Fang-Ying/0000-0001-7878-6435; Doglioni, Caterina/0000-0002-1509-0390; Coccaro, Andrea/0000-0003-2368-4559; Adelman, Jahred/0000-0002-1041-3496; Korcyl, Krzysztof/0000-0001-8085-4505; Snyder, Scott/0000-0001-8610-8423; Camarri, Paolo/0000-0002-5732-5645; Windischhofer, Philipp/0000-0001-5038-1399; Mijovic, Liza/0000-0003-0162-2891; Heim, Sarah/0000-0002-2639-6571; Peters, Krisztian/0000-0002-7654-1677; Evans, Levi/0000-0002-4333-5084; Oreglia, Mark/0000-0001-6203-2209; Novak, Tadej/0000-0002-3053-0913; Jang, Wonho/0000-0002-3665-7747; Saimpert, Matthias/0000-0002-3765-1320; Levchenko, Mikhail/0000-0002-5495-0656; Butterworth, Jonathan/0000-0002-5905-5394; Cella, Sofia/0000-0001-7593-0243; Moskalets, Tetiana/0000-0001-6508-3968; Roland, Christophe/0000-0003-2084-369X; 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Special Issue on Approximation Theory and Special Functions
No full textThis special issue consists of 12 selected papers presented at the international conference titled "Approximation Theory and Special Functions-ATSF 2024 Conference-8th Series".Scientific and Technological Research Council of TurkiyeThe outstanding success of the ATSF 2024 Conference was achieved thanks to the dedication and hard work of numerous individuals and institutions. We are truly grateful to the organizing committee, invited speakers, members of the scientific committee, special session coordinators, and all participants for their invaluable support and contributions. Furthermore, we sincerely appreciate the efforts of the editors, contributing authors, and reviewers, whose meticulous work played a crucial role in the preparation of this special issue. We would like to extend our heartfelt thanks to TOBB Economics and Technology University for graciously hosting the conference, as well as to the Turkish Academy of Sciences and the Scientific and Technological Research Council of Tuerkiye for their generous support. Finally, we are grateful to the esteemed editors of Dolomites Research Notes on Approximation for providing us with the opportunity to publish this special issue
A Physics-Informed Deep Neural Network Based Beam Vibration Framework for Simulation and Parameter Identification
No full textPhysics-Informed Neural Networks (PINNs) integrate Neural Network (NN) models with physical phenomena governed by differential equations. This study proposes a PINN framework that can be used to simulate transverse vibrations in beams and determine their dynamic parameters. Previous studies have shown that it is difficult for neural networks to learn high-frequency dynamics. Therefore, a Neural Tangent Kernel (NTK) is used to manage the spectral bias phenomenon for high-frequency learning. The proposed model is used to simulate cases with different boundary conditions, and the results are validated using the finite element solutions. For the forward problem solutions, the error is found to be approximately O (10 -5 ) at lower frequencies and O (10 -1 ) at higher frequencies. For the inverse problem, the system parameters are identified with an error of 1.41%. Furthermore, physical experiments are used to demonstrate the validity of the proposed framework. The differences between the PINN results and the analytical and measured data were less than O (10 -1 ). The results show that PINNs have the potential to approximate the solutions of high-order partial differential equations and identify the dynamic parameters of structures governed by them
Comparison of Various Fragmentation Methods of Alpha-Synuclein Fibrils for Establishing a Parkinson's Disease-Like Model in Cell Culture
No full textAlpha-synuclein (α-syn) fibrils, which are associated with Lewy-like inclusions, are currently utilized in the modeling of Parkinson's disease (PD). The fibrils require a length shorter than 100nm to uptake intracellularly. Our study aims to determine the optimal probe sonication parameters that can be applied in diverse laboratory settings for the fragmentation of fibrils to lengths of ≤100nm. In our study, human wild-type α-syn fibrils were sonicated with 1, 3, and 5s-on/off pulse applications at varying ambient temperatures (room temperature, ice, and ice-surrounded by dry ice) for a duration of 1min, with a total of 40 and 60 cycles, respectively. The length of the fibrils was quantified by transmission electron microscopy imaging. The total α-syn in SH-SY5Y cells was detected by immunofluorescence staining following the administration of fragmented fibrils after 2-, 4-, and 6-day incubations. Although fragmentation was observed under all conditions, fibrils of ≤100nm were obtained with a 5s-on/off pulse in ice and ice-surrounded by dry ice ambientes. The fibril length of ≤100nm was observed on days 2 and 4; however, the highest level of observed intensity was detected on day 6. The application of 5s-on/off consecutive pulses in ice, and ice-surrounded by dry ice ambientes are more effective methods for fragmenting and internalizing fibrils, thereby forming a reproducible cellular PD-like model. In summary, our study provides a significant contribution to the development of an economical and effective sonication methodology for the fragmentation of fibrils in a diverse of laboratory settings. © 2025 the author(s), published by De Gruyter, Berlin/Boston.TOBB Economy and Technology Universit
