@misc{DeSantisMuellmannPanetal., author = {De Santis, Karina Karolina and M{\"u}llmann, Saskia and Pan, Chen-Chia and Hoffmann, Stephanie and Spallek, Jacob and Haug, Ulrike and Zeeb, Hajo}, title = {Use and attitudes toward digital technologies in health context: A nationwide survey in Germany}, series = {Gesundheitswesen}, volume = {85}, journal = {Gesundheitswesen}, number = {809}, doi = {10.1055/s-0043-1770610}, pages = {812 -- 813}, abstract = {Introduction Digital technologies, such as health apps, can contribute to health promotion and disease prevention. This study investigated the use and attitudes toward digital technologies in health context using a nationwide survey. Methods Adult internet users (n=1020) from 16 federal states in Germany participated in computer-assisted telephone interviews in November 2022. Data were analyzed using descriptive statistics and regression analyses. Results Overall, 61\% of participants reported internet use in health context. Among the users, digital technologies were used to obtain general health information by 63\% and to support physical activity or to obtain information on cancer by less than 50\%. Over 90\% of users rated such technologies as easy to use and useful to obtain health information, to support physical activity or to obtain information on cancer. However, confidence in using the internet for health decisions was low. Digital technology use in health context was associated with higher eHealth literacy. Digital technologies were preferred by younger participants to support physical activity and by older participants to obtain information on cancer. Conclusion Although digital technologies are easy to use, the use of digital technologies for health promotion and disease prevention and confidence in using the internet for health decisions were low among internet users in this study. Factors that promote digital technology use for health promotion and prevention need to be investigated in further studies.}, language = {en} } @misc{GaoSchmidtKleinetal., author = {Gao, Tianyun and Schmidt, Heiko and Klein, Marten and Liang, Jianhan and Sun, Mingbo and Chen, Chongpei and Guan, Qingdi}, title = {One-dimensional turbulence modeling of compressible flows. I. Conservative Eulerian formulation and application to supersonic channel flow}, series = {Physics of Fluids}, volume = {35}, journal = {Physics of Fluids}, number = {3}, issn = {1089-7666}, doi = {10.1063/5.0125514}, abstract = {Accurate but economical modeling of supersonic turbulent boundary layers is a standing challenge due to the intricate entanglement of temperature, density, and velocity fluctuations on top of the mean-field variation. Application of the van Driest transformation may describe well the mean state but cannot provide detailed flow information. This lack-in modeling coarse and fine-scale variability is addressed by the present study using a stochastic one-dimensional turbulence (ODT) model. ODT is a simulation methodology that represents the evolution of turbulent flow in a low-dimensional stochastic way. In this study, ODT is extended to fully compressible flows. An Eulerian framework and a conservative form of the governing equations serve as the basis of the compressible ODT model. Computational methods for statistical properties based on ODT realizations are also extended to compressible flows, and a comprehensive way of turbulent kinetic energy budget calculation based on compressible ODT is put forward for the first time. Two canonical direct numerical simulation cases of supersonic isothermal-wall channel flow at Mach numbers 1.5 and 3.0 with bulk Reynolds numbers 3000 and 4880, respectively, are used to validate the extended model. A rigorous numerical validation is presented, including the first-order mean statistics, the second-order root mean square statistics, and higher-order turbulent fluctuation statistics. In ODT results, both mean and root mean square profiles are accurately captured in the near-wall region. Near-wall temperature spectra reveal that temperature fluctuations are amplified at all turbulent scales as the effects of compressibility increase. This phenomenon is caused by intensified viscous heating at a higher Mach number, which is indicated by the steeper profiles of viscous turbulent kinetic energy budget terms in the very near-wall region. The low computational cost and predictive capabilities of ODT suggest that it is a promising approach for detailed modeling of highly turbulent compressible boundary layers. Furthermore, it is found that the ODT model requires a Mach-number-dependent increase in a viscous penalty parameter Z in wall-bounded turbulent flows to enable accurate capture of the buffer layer.}, language = {en} } @misc{GaoSchmidtKleinetal., author = {Gao, Tianyun and Schmidt, Heiko and Klein, Marten and Liang, Jianhan and Sun, Mingbo and Chen, Chongpei and Guan, Qingdi}, title = {One-dimensional turbulence modeling of compressible flows: II. Full compressible modification and application to shock-turbulence interaction}, series = {Physics of Fluids}, volume = {35}, journal = {Physics of Fluids}, number = {3}, issn = {1089-7666}, doi = {10.1063/5.0137435}, abstract = {One-dimensional turbulence (ODT) is a simulation methodology that represents the essential physics of three-dimensional turbulence through stochastic resolution of the full range of length and time scales on a one-dimensional domain. In the present study, full compressible modifications are incorporated into ODT methodology, based on an Eulerian framework and a conservative form of the governing equations. In the deterministic part of this approach, a shock capturing scheme is introduced for the first time. In the stochastic part, one-dimensional eddy events are modeled and sampled according to standard methods for compressible flow simulation. Time advancement adjustments are made to balance comparable time steps between the deterministic and stochastic parts in compressible flows. Canonical shock-turbulence interaction cases involving Richtmyer-Meshkov instability at Mach numbers 1.24, 1.5, and 1.98 are simulated to validate the extended model. The ODT results are compared with available reference data from large eddy simulations and laboratory experiments. The introduction of a shock capturing scheme significantly improves the performance of the ODT method, and the results for turbulent kinetic energy are qualitatively improved compared with those of a previous compressible Lagrangian ODT method [Jozefik et al., "Simulation of shock-turbulence interaction in non-reactive flow and in turbulent deflagration and detonation regimes using one-dimensional turbulence," Combust. Flame 164, 53 (2016)]. For the time evolution of profiles of the turbulent mixing zone width, ensemble-averaged density, and specific heat ratio, the new model also yields good to reasonable results. Furthermore, it is found that the viscous penalty parameter Z of the ODT model is insensitive to compressibility effects in turbulent flows without wall effects. A small value of Z is appropriate for turbulent flows with weak wall effects, and the parameter Z serves to suppress extremely small eddy events that would be dissipated instantly by viscosity.}, language = {en} } @misc{DeSantisMuellmannPanetal., author = {De Santis, Karina Karolina and M{\"u}llmann, Saskia and Pan, Chen-Chia and Hoffmann, Stephanie and Spallek, Jacob and Haug, Ulrike and Zeeb, Hajo}, title = {Digital technology use for physical activity promotion: Results of a nationwide survey in Germany}, series = {37th Annual Conference of the European Health Psychology Society}, journal = {37th Annual Conference of the European Health Psychology Society}, doi = {10.13140/RG.2.2.22062.48967}, pages = {1}, abstract = {Background. Digital technologies can contribute to healthy behaviour. We aimed to investigate a digital technology use for physical activity (PA) promotion using a nationwide survey. Methods. Our cross-sectional survey was conducted using a panel sample of 1020 adult internet users living in Germany (age: 18-92 years, 47\% female). Computer-assisted telephone interviews were conducted using a self-developed questionnaire in November 2022. Survey data were analysed using relative frequencies and bivariate logistic regression. Findings. Among all participants, 626/1020 reported internet use in health context and 278/626 (44\%) reported digital technology use for PA promotion. Most of the 278 users for PA promotion reported that such technologies are easy to use (92\%) and use them at least once a week (91\%). The reasons for using digital technologies were to measure own PA (74\%) or to find exercise ideas (57\%). Most participants reported using mobile devices (e.g., smartphones, 77\%, or activity trackers, 58\%) and rated device feedback as helpful (69\%). Among sociodemographic factors (age, gender, education, household income), health status and eHealth literacy, younger age was the only significant predictor (OR=.98, 95\% CI: .97-.99) of digital technology use for PA promotion. Discussion. Despite their availability, the prevalence of digital technology use for PA promotion is still low among adult internet users in Germany. Such technologies are likely to support PA behaviour change because users rate them as easy to use, their feedback as helpful and use them frequently. Health interventions are necessary to encourage digital technology use for PA promotion among adults in Germany.}, language = {en} } @misc{MuellmannDeSantisPanetal., author = {M{\"u}llmann, Saskia and De Santis, Karina Karolina and Pan, Chen-Chia and Hoffmann, Stephanie and Spallek, Jacob and Haug, Ulrike and Zeeb, Hajo}, title = {Attitudes towards digital technology use in health context according to a nationwide survey in Germany}, series = {37th Annual Conference of the European Health Psychology Society}, journal = {37th Annual Conference of the European Health Psychology Society}, doi = {10.13140/RG.2.2.24579.07200}, pages = {1}, abstract = {Background Digitalization has led to a proliferation of digital health technologies and online health information. We aimed to assess the attitudes towards digital technology use in health context using a nationwide survey. Methods A cross-sectional nationwide survey of a panel sample of adult internet users living in Germany was conducted in November 2022. Participants completed computer-assisted telephone interviews using a self-developed, 30-item questionnaire. Survey data were analysed using frequencies and univariate multiple regression analysis. Findings Among 1,020 participants (18-92 years, 56±16 years, 47\% female), 62\% completed up to tertiary education and 42\% reported the household income of up to 3500 Euro/month. The minority of participants reported that they trust health websites when recommended by friends and family (39\%), that their social network relies on the internet for health information (35\%), that they consider the internet as the immediate source of health information (39\%) and that they are interested in digital health technologies (40\%). Most participants (71\%) reported that they prefer to receive health information in person or on paper. The preference for such sources of health information was associated with lower eHealth literacy (β= -.12, p<.001), worse health status (β= -.08, p=.026) and female gender (β= -.08, p=.033). Discussion The trust in the internet as the source of health information and the interest in digital health technologies were low among internet users in Germany. Interventions should strengthen eHealth literacy to empower adults to find, understand and assess reliable health information on the Internet.}, language = {en} } @misc{LoefflerHoffmannDeSantisetal., author = {L{\"o}ffler, Antje and Hoffmann, Stephanie and De Santis, Karina Karolina and M{\"u}llmann, Saskia and Pan, Chen-Chia and Haug, Ulrike and Zeeb, Hajo and Spallek, Jacob}, title = {Digitale Gesundheitskompetenz und Interesse an digitalen Gesundheitstechnologien im l{\"a}ndlichen Raum - eine Querschnitterhebung}, series = {Gesundheitswesen}, volume = {85}, journal = {Gesundheitswesen}, number = {811}, doi = {10.1055/s-0043-1770604}, abstract = {Einleitung Digitale Gesundheitstechnologien k{\"o}nnten einen bedeutenden Beitrag zur Sicherstellung einer hochwertigen und effizienten Gesundheitsversorgung insbesondere im ruralen, d{\"u}nnbesiedelten Raum leisten. Diese Studie untersucht die Zusammenh{\"a}nge zwischen Ruralit{\"a}t, digitaler Gesundheitskompetenz und Interesse an digitalen Gesundheitstechnologien. Methoden Daten einer deutschlandweiten telefonischen Befragung Erwachsener zu Einstellung und Nutzung digitaler Gesundheitstechnologien wurden mit Ruralit{\"a}t (Einwohnerdichte/km²) verlinkt (n=941). Zusammenh{\"a}nge zwischen digitaler Gesundheitskompetenz (eHEALS-Skala), Interesse an digitalen Gesundheitstechnologien (gering/hoch) und Ruralit{\"a}t wurden mit bi- und multivariaten Verfahren, adjustiert f{\"u}r Alter, Sozialstatus und Geschlecht analysiert. Ergebnisse Digitale Gesundheitskompetenz und Interesse an digitalen Gesundheitstechnologien sind im l{\"a}ndlichen Raum schw{\"a}cher ausgepr{\"a}gt als im urbanen Raum (t (877) =-3.13, p=.002, d =-.254; Chi² (1, N=936) =6.04, p=.014). Geringere Einwohnerdichte ist mit einer niedrigeren Gesundheitskompetenz (β=.07; p=.043) und mit weniger Interesse an digitalen Gesundheitstechnologien assoziiert (OR=1.21; 95\%KI 1.084-1.352). Schlussfolgerung Bewohnende des l{\"a}ndlichen Raums unterscheiden sich hinsichtlich ihrer digitalen Gesundheitskompetenz und ihres Interesses an digitalen Gesundheitstechnologien von urbanen Regionen. R{\"a}umliche Faktoren sollten als m{\"o}gliche Zugangsbarrieren bei der Implementierung digitaler Gesundheitstechnologien ber{\"u}cksichtigt werden.}, language = {de} } @misc{ChengChenGlasaueretal., author = {Cheng, Si and Chen, Siyi and Glasauer, Stefan and Keeser, Daniel and Shi, Zhuanghua}, title = {Neural mechanisms of sequential dependence in time perception: the impact of prior task and memory processing}, series = {Cerebral Cortex}, volume = {34(2024)}, journal = {Cerebral Cortex}, number = {1}, issn = {1460-2199}, doi = {10.1093/cercor/bhad453}, pages = {1 -- 14}, abstract = {Our perception and decision-making are susceptible to prior context. Such sequential dependence has been extensively studied in the visual domain, but less is known about its impact on time perception. Moreover, there are ongoing debates about whether these sequential biases occur at the perceptual stage or during subsequent post-perceptual processing. Using functional magnetic resonance imaging, we investigated neural mechanisms underlying temporal sequential dependence and the role of action in time judgments across trials. Participants performed a timing task where they had to remember the duration of green coherent motion and were cued to either actively reproduce its duration or simply view it passively. We found that sequential biases in time perception were only evident when the preceding task involved active duration reproduction. Merely encoding a prior duration without reproduction failed to induce such biases. Neurally, we observed activation in networks associated with timing, such as striato-thalamo-cortical circuits, and performance monitoring networks, particularly when a "Response" trial was anticipated. Importantly, the hippocampus showed sensitivity to these sequential biases, and its activation negatively correlated with the individual's sequential bias following active reproduction trials. These findings highlight the significant role of memory networks in shaping time-related sequential biases at the post-perceptual stages.}, language = {en} } @misc{HallSchmidtWaggeetal., author = {Hall, Braeden and Schmidt, Kathleen and Wagge, Jordan and Lewis, Savannah C. and Weissgerber, Sophia C. and Kiunke, Felix and Pfuhl, Gerit and Stieger, Stefan and Tran, Ulrich S. and Barzykowski, Krystian and Bogatyreva, Natalia and Kowal, Marta and Massar, KarlIJn and Pernerstofer, Felizitas and Sorokowski, Piotr and Voracek, Martin and Chartier, Christopher R. and Brandt, Mark J. and Grahe, Jon E. and {\"O}zdoğru, Asil A. and Andreychik, Michael R. and Chen, Sau-Chin and Evans, Thomas R. and Hautekiet, Caro and IJzerman, Hans and Kačm{\´a}r, Pavol and Krafnick, Anthony J. and Musser, Erica D. and Vergauwe, Evie and Werner, Kaitlyn M. and Aczel, Balazs and Arriaga, Patr{\´i}cia and Batres, Carlota and Beaudry, Jennifer L. and Cova, Florian and Ďurbisov{\´a}, Simona and Cramblet Alvarez, Leslie D. and Feldman, Gilad and Godbersen, Hendrik and Gottfried, Jaroslav and Haeffel, Gerald J. and Hartanto, Andree and Isloi, Chris and McFall, Joseph P. and Milyavskaya, Marina and Moreau, David and Nos{\´a}ľov{\´a}, Ester and Papaioannou, Kostas and Ruiz-Fernandez, Susana and Schr{\"o}tter, Jana and Storage, Daniel and Vezirian, Kevin and Volz, Leonhard and Weisberg, Yanna J. and Xiao, Qinyu and Awlia, Dana and Branit, Hannah W. and Dunn, Megan R. and Groyecka-Bernard, Agata and Haneda, Ricky and Kielinska, Julita and Kolle, Caroline and Lubomski, Paweł and Miller, Alexys M. and M{\ae}kel{\ae}, Martin J. and Pantazi, Mytro and Ribeiro, Rafael R. and Ross, Robert M. and Sorokowska, Agnieszka and Aberson, Christopher L. and Vassiliou, Xanthippi Alexi and Baker, Bradley J. and Bognar, Miklos and Cong, Chin Wen and Danvers, Alex F. and Davis, William E. and Dranseika, Vilius and Dumbravă, Andrei and Farmer, Harry and Field, Andy P. and Forscher, Patrick S. and Graton, Aur{\´e}lien and Hajdu, Nandor and Howlett, Peter A. and Kabut, Radosław and Larsen, Emmett M. and Lee, Sean T. H. and Legate, Nicole and Levitan, Carmel A. and Levy, Neil and Lu, Jackson G. and Misiak, Michał and Morariu, Roxana E. and Novak, Jennifer and Pronizius, Ekaterina and Prusova, Irina and Rathnayake, Athulya S. and Romanova, Marina O. and R{\"o}er, Jan P. and Sampaio, Waldir M. and Schild, Christoph and Schulte-Mecklenbeck, Michael and Stephen, Ian D. and Szecsi, Peter and Takacs, Elizabeth and Teeter, Julia N. and Thiele-Evans, Elian H. and Valeiro-Paterlini, Julia and Vilares, Iris and Villafana, Louise and Wang, Ke and Wu, Raymond and {\´A}lvarez-Solas, Sara and Moshontz, Hannah and Buchanan, Erin M.}, title = {Registered Replication Report: A Large Multilab Cross-Cultural Conceptual Replication of Turri et al. (2015)}, series = {Advances in Methods and Practices in Psychological Science}, volume = {7}, journal = {Advances in Methods and Practices in Psychological Science}, number = {4}, publisher = {SAGE Publications}, issn = {2515-2459}, doi = {10.1177/25152459241267902}, pages = {1 -- 38}, language = {en} } @misc{BuchananLewisParisetal., author = {Buchanan, Erin M. and Lewis, Savannah C. and Paris, Bastien and Forscher, Patrick S. and Pavlacic, Jeffrey M. and Beshears, Julie E. and Drexler, Shira Meir and Gourdon-Kanhukamwe, Am{\´e}lie and Mallik, Peter R and Silan, Miguel Alejandro A. and Miller, Jeremy K. and IJzerman, Hans and Moshontz, Hannah and Beaudry, Jennifer L. and Suchow, Jordan W. and Chartier, Christopher R. and Coles, Nicholas A. and Sharifian, MohammadHasan and Todsen, Anna Louise and Levitan, Carmel A. and Azevedo, Fl{\´a}vio and Legate, Nicole and Heller, Blake and Rothman, Alexander J. and Dorison, Charles A. and Gill, Brian P. and Wang, Ke and Rees, Vaughan W. and Gibbs, Nancy and Goldenberg, Amit and Thi Nguyen, Thuy-vy and Gross, James J. and Kaminski, Gwena{\^e}l and von Bastian, Claudia C. and Paruzel-Czachura, Mariola and Mosannenzadeh, Farnaz and Azouaghe, Soufian and Bran, Alexandre and Ruiz-Fernandez, Susana and Santos, Anabela Caetano and Reggev, Niv and Zickfeld, Janis H. and Akkas, Handan and Pantazi, Myrto and Ropovik, Ivan and Korbmacher, Max and Arriaga, Patr{\´i}cia and Gjoneska, Biljana and Warmelink, Lara and Alves, Sara G. and de Holanda Coelho, Gabriel Lins and Stieger, Stefan and Schei, Vidar and Hanel, Paul H. P. and Szaszi, Barnabas and Fedotov, Maksim and Antfolk, Jan and Marcu, Gabriela-Mariana and Schr{\"o}tter, Jana and Kunst, Jonas R. and Geiger, Sandra J. and Adetula, Adeyemi and Kocalar, Halil Emre and Kielińska, Julita and Kačm{\´a}r, Pavol and Bokkour, Ahmed and Galindo-Caballero, Oscar J. and Djamai, Ikhlas and P{\"o}ntinen, Sara Johanna and AGESIN, Bamikole Emmanuel and Jerns{\"a}ther, Teodor and Urooj, Anum and Rachev, Nikolay R. and Koptjevskaja-Tamm, Maria and Kurfal{\i}, Murathan and Pit, Ilse L. and Li, Ranran and {\c{C}}oksan, Sami and Dubrov, Dmitrii and Paltrow, Tamar Elise and Ban{\´i}k, Gabriel and Korobova, Tatiana and Studzinska, Anna and Jiang, Xiaoming and Aruta, John Jamir Benzon R. and Vintr, J{\´a}chym and Chiu, Faith and Kaliska, Lada and Berkessel, Jana B. and T{\"u}mer, Murat and Morales-Izquierdo, Sara and Chuan-Peng, Hu and Vezirian, Kevin and Rosa, Anna Dalla and Bialobrzeska, Olga and Vasilev, Martin R. and Beitner, Julia and K{\´a}cha, Ondřej and Žuro, Barbara and Westerlund, Minja and Nedelcheva-Datsova, Mina and Findor, Andrej and Krupić, Dajana and Kowal, Marta and Askelund, Adrian Dahl and Pourafshari, Razieh and Đorđević, Jasna Milošević and Schmidt, Nadya-Daniela and Baklanova, Ekaterina and Szala, Anna and Zakharov, Ilya and Vranka, Marek A. and Ihaya, Keiko and Grano, Caterina and Cellini, Nicola and Białek, Michał and Anton-Boicuk, Lisa and Dalgar, Ilker and Ad{\i}g{\"u}zel, Arca and Verharen, Jeroen P. H. and Maturan, Princess Lovella G. and Kassianos, Angelos P. and Oliveira, Raquel and Čadek, Martin and Adoric, Vera Cubela and {\"O}zdoğru, Asil Ali and Sverdrup, Therese E. and Aczel, Balazs and Zambrano, Danilo and Ahmed, Afroja and Tamnes, Christian K. and Yamada, Yuki and Volz, Leonhard and Sunami, Naoyuki and Suter, Lilian and Vieira, Luc and Groyecka-Bernard, Agata and Kamburidis, Julia Arhondis and Reips, Ulf-Dietrich and Harutyunyan, Mikayel and Adetula, Gabriel Agboola and Allred, Tara Bulut and Barzykowski, Krystian and Antazo, Benedict G and Zsido, Andras N. and Šakan, Dušana Dušan and Cyrus-Lai, Wilson and Ahlgren, Lina Pernilla and Hruška, Matej and Vega, Diego and Manunta, Efisio and Mokady, Aviv and Capizzi, Mariagrazia and Martončik, Marcel and Say, Nicolas and Filip, Katarzyna and Vilar, Roosevelt and Staniaszek, Karolina and Vdovic, Milica and Adamkovic, Matus and Johannes, Niklas and Hajdu, Nandor and Cohen, Noga and Overkott, Clara and Krupić, Dino and Hubena, Barbora and Nilsonne, Gustav and Mioni, Giovanna and Solorzano, Claudio Singh and Ishii, Tatsunori and Chen, Zhang and Kushnir, Elizaveta and Karaarslan, Cemre and Ribeiro, Rafael R. and Khaoudi, Ahmed and Kossowska, Małgorzata and Bavolar, Jozef and Hoyer, Karlijn and Roczniewska, Marta and Karababa, Alper and Becker, Maja and Monteiro, Renan P. and Kunisato, Yoshihiko and Metin-Orta, Irem and Adamus, Sylwia and Kozma, Luca and Czarnek, Gabriela and Domurat, Artur and Štrukelj, Eva and Alvarez, Daniela Serrato and Parzuchowski, Michal and Massoni, S{\´e}bastien and Czamanski-Cohen, Johanna and Pronizius, Ekaterina and Muchembled, Fany and van Schie, Kevin and Sa{\c{c}}akl{\i}, Asl{\i} and Hristova, Evgeniya and Kuzminska, Anna O. and Charyate, Abdelilah and Bijlstra, Gijsbert and Afhami, Reza and Majeed, Nadyanna M. and Musser, Erica D. and Sirota, Miroslav and Ross, Robert M. and Yeung, Siu Kit and Papadatou-Pastou, Marietta and Foroni, Francesco and Almeida, In{\^e}s A. T. and Grigoryev, Dmitry and Lewis, David M. G. and Holford, Dawn L. and Janssen, Steve M. J. and Tatachari, Srinivasan and Batres, Carlota and Olofsson, Jonas K. and Daches, Shimrit and Belaus, Anabel and Pfuhl, Gerit and Corral-Frias, Nadia Sarai and Sousa, Daniela and R{\"o}er, Jan Philipp and Isager, Peder Mortvedt and Godbersen, Hendrik and Walczak, Radoslaw B. and Van Doren, Natalia and Ren, Dongning and Gill, Tripat and Voracek, Martin and DeBruine, Lisa M. and Anne, Michele and Očovaj, Sanja Batić and Thomas, Andrew G. and Arvanitis, Alexios and Ostermann, Thomas and Wolfe, Kelly and Arinze, Nwadiogo Chisom and Bundt, Carsten and Lamm, Claus and Calin-Jageman, Robert J and Davis, William E. and Karekla, Maria and Zorjan, Saša and Jaremka, Lisa M. and Uttley, Jim and Hricova, Monika and Koehn, Monica A and Kiselnikova, Natalia and Bai, Hui and Krafnick, Anthony J. and Balci, Busra Bahar and Ballantyne, Tonia and Lins, Samuel and Vally, Zahir and Esteban-Serna, Celia and Schmidt, Kathleen and Macapagal, Paulo Manuel L. and Szwed, Paulina and Zdybek, Przemysław Marcin and Moreau, David and Collins, W. Matthew and Joy-Gaba, Jennifer A. and Vilares, Iris and Tran, Ulrich S. and Boudesseul, Jordane and Albayrak-Aydemir, Nihan and Dixson, Barnaby James Wyld and Perillo, Jennifer T and Ferreira, Ana and Westgate, Erin C. and Aberson, Christopher L. and Arinze, Azuka Ikechukwu and Jaeger, Bastian and Butt, Muhammad Mussaffa and Silva, Jaime R. and Storage, Daniel Shafik and Janak, Allison P and Jim{\´e}nez-Leal, William and Soto, Jose A. and Sorokowska, Agnieszka and McCarthy, Randy and Tullett, Alexa M and Frias-Armenta, Martha and Ribeiro, Matheus Fernando Felix and Hartanto, Andree and Forbes, Paul A. G. and Willis, Megan L. and del Carmen Tejada R, Mar{\´i}a and Torres, Adriana Julieth Olaya and Stephen, Ian D and Vaidis, David C. and de la Rosa-G{\´o}mez, Anabel and Yu, Karen and Sutherland, Clare A. M. and Manavalan, Mathi and Behzadnia, Behzad and Urban, Jan and Baskin, Ernest and McFall, Joseph P. and Ogbonnaya, Chisom Esther and Fu, Cynthia H. Y. and Rahal, Rima-Maria and Ndukaihe, Izuchukwu L. G. and Hostler, Thomas J. and Kappes, Heather Barry and Sorokowski, Piotr and Khosla, Meetu and Lazarevic, Ljiljana B. and Eudave, Luis and Vilsmeier, Johannes K. and Luis, Elkin O. and Muda, Rafał and Agadullina, Elena and C{\´a}rcamo, Rodrigo A. and Reeck, Crystal and Anjum, Gulnaz and Venegas, M{\´o}nica Camila Toro and Misiak, Michal and Ryan, Richard M. and Nock, Nora L. and Travaglino, Giovanni A. and Mensink, Michael C. and Feldman, Gilad and Wichman, Aaron L. and Chou, Weilun and Ziano, Ignazio and Seehuus, Martin and Chopik, William J. and Kung, Franki Y. H. and Carpentier, Joelle and Vaughn, Leigh Ann and Du, Hongfei and Xiao, Qinyu and Lima, Tiago J. S. and Noone, Chris and Onie, Sandersan and Verbruggen, Frederick and Radtke, Theda and Primbs, Maximilian A.}, title = {The psychological science accelerator's COVID-19 rapid-response dataset}, series = {Scientific Data}, volume = {10}, journal = {Scientific Data}, number = {1}, publisher = {Springer Science and Business Media LLC}, issn = {2052-4463}, doi = {10.1038/s41597-022-01811-7}, pages = {1 -- 15}, language = {en} } @misc{FritscherUhlmannOstrovskyyetal., author = {Fritscher, Markus and Uhlmann, Max and Ostrovskyy, Philip and Reiser, Daniel and Chen, Junchao and Wen, Jianan and Schulze, Carsten and Kahmen, Gerhard and Fey, Dietmar and Reichenbach, Marc and Krstic, Milos and Wenger, Christian}, title = {RISC-V CPU design using RRAM-CMOS standard cells}, series = {IEEE transactions on very large scale integration (VLSI) systems}, journal = {IEEE transactions on very large scale integration (VLSI) systems}, editor = {Wenger, Christian}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, address = {New York}, issn = {1063-8210}, doi = {10.1109/TVLSI.2025.3554476}, pages = {1 -- 9}, abstract = {The breakdown of Dennard scaling has been the driver for many innovations such as multicore CPUs and has fueled the research into novel devices such as resistive random access memory (RRAM). These devices might be a means to extend the scalability of integrated circuits since they allow for fast and nonvolatile operation. Unfortunately, large analog circuits need to be designed and integrated in order to benefit from these cells, hindering the implementation of large systems. This work elaborates on a novel solution, namely, creating digital standard cells utilizing RRAM devices. Albeit this approach can be used both for small gates and large macroblocks, we illustrate it for a 2T2R-cell. Since RRAM devices can be vertically stacked with transistors, this enables us to construct a nand standard cell, which merely consumes the area of two transistors. This leads to a 25\% area reduction compared to an equivalent CMOS nand gate. We illustrate achievable area savings with a half-adder circuit and integrate this novel cell into a digital standard cell library. A synthesized RISC-V core using RRAM-based cells results in a 10.7\% smaller area than the equivalent design using standard CMOS gates.}, language = {en} } @misc{ShezadSafdarArellanoGarciaetal., author = {Shezad, Nasir and Safdar, Muddasar and Arellano-Garcia, Harvey and Tai, Cheuk-Wai and Chen, Shaojiang and Seo, Dong-Kyun and You, Shujie and Vomiero, Alberto and Akhtar, Farid}, title = {Deciphering the role of APTES in tuning the metal support interaction of NiO nanolayers over hierarchical zeolite 13X for CO2 methanation}, series = {Carbon Capture Science \& Technology}, volume = {15}, journal = {Carbon Capture Science \& Technology}, publisher = {Elsevier}, address = {Amsterdam}, doi = {10.1016/j.ccst.2025.100424}, pages = {1 -- 11}, abstract = {The development of robust nickel catalysts on porous substrates offers great potential for converting carbon dioxide (CO2) into methane, thereby helping to address the global warming and sustainability challenges. This study investigates the dispersion and stability of Ni nanolayers by grafting bifunctional groups over the hierarchical zeolite 13X (h13X) support using (3-aminopropyl)triethoxysilane (APTES). The Ni nanolayers, with a thickness of 1.5-7 nm, were deposited around the edges of h13X and analyzed using STEM imaging. A clear shift in the binding energies was observed by XPS analysis, substantiating the enhanced metalsupport interaction (MSI) between NiO and h13X. The influence of reaction temperature on APTES incorporation into h13X was revealed by H2-TPR and CO2-TPD, with notable variations in the reducibility and surface basicity profiles of the catalysts. The optimized catalyst exhibited CO2 conversion of 61\% with CH4 selectivity of 97\% under GHSV of 60,000 mlgCat-1h-1 at 400 oC and 1 bar and demonstrated robust stability over a period of 150 h without discernible degradation. The enhanced performance could be attributed to the strengthened MSI and reduced size of Ni nanolayers over h13X. These findings highlight the development of robust heterogeneous catalysts by changing the surface chemistry of support material for various catalytic applications.}, language = {en} } @misc{DiegelSchrickerSchmidtetal., author = {Diegel, Christian and Schricker, Klaus and Schmidt, Leander and Seibold, Marc and Friedmann, Hannes and Hellwig, Peter and Fr{\"o}hlich, Fabian and Nagel, Falk and Kallage, Peter and Rack, Alexander and Requardt, Herwig and Chen, Yunhui and Bergmann, Jean Pierre}, title = {In situ characterization of keyhole behavior and spatter formation in full penetration laser beam welding with local gas flow using high-speed synchrotron X-ray imaging}, series = {Optics \& laser technology}, volume = {191}, journal = {Optics \& laser technology}, publisher = {Elsevier BV}, address = {Amsterdam}, issn = {0030-3992}, doi = {10.1016/j.optlastec.2025.113367}, pages = {1 -- 17}, abstract = {Spatter formation is a major issue at welding speeds above 8 m/min for full penetration laser beam welding of high-alloyed steels. In experiments using a local gas flow directed at the keyhole rear wall, a reduction in spatter formation on the specimen top side was observed for welding of AISI 304. However, the interaction between gas flow and keyhole behavior with respect to the mechanisms and locations of spatter detachment, especially on the bottom side, is not yet fully understood. High-speed synchrotron X-ray imaging enables detailed insights into the keyhole behavior and the spatter formation to obtain a deeper understanding of the underlying mechanisms. During the reference experiments welding without shielding gas flow, the spatter detach from a melt pool swelling behind the keyhole aperture on both sides of the sheet. A gas flow with a low flow rate of 4.8 L/min reduces the spatter formation on the top side and the keyhole length due to the absence of oxygen affecting the surface tension. A swelling also forms on the keyhole front on the bottom side and small spatter detach undirected. Increasing the flow rate to 12.8 L/min elongates the keyhole, particularly on the specimen top side. The increased momentum transfer of the gas flow results in a periodic keyhole oscillation on the specimen top side. In combination with an elongated melt pool, the oscillation is directly correlated with the hump formation, caused by melt being pushed over the already solidified weld seam. In addition, spatter does not detach from the top side due to the changed melt flow and only detach from the keyhole front on the bottom side.}, language = {en} } @misc{FangTamBorgoetal., author = {Fang, Hui and Tam, Gary K. L. and Borgo, Rita and Aubrey, Andrew and Grant, Philip W. and Rosin, Paul L. and Wallraven, Christian and Cunningham, Douglas William and Marshall, David and Chen, Min}, title = {Visualizing Natural Image Statistics}, series = {IEEE Transactions on Visualization and Computer Graphics}, volume = {19}, journal = {IEEE Transactions on Visualization and Computer Graphics}, number = {7}, issn = {1941-0506}, pages = {1228 -- 1241}, language = {en} } @misc{PanDeSantisMuellmannetal., author = {Pan, Chen-Chia and De Santis, Karina Karolina and Muellmann, Saskia and Hoffmann, Stephanie and Spallek, Jacob and Pedros Barnils, Nuria and Ahrens, Wolfgang and Zeeb, Hajo and Sch{\"u}tz, Benjamin}, title = {Sociodemographics and digital health literacy in using wearables for health promotion and disease prevention : cross-sectional nationwide survey in Germany}, series = {Journal of prevention}, volume = {46}, journal = {Journal of prevention}, number = {3}, publisher = {Springer US}, address = {New York}, issn = {2731-5533}, doi = {https://doi.org/10.1007/s10935-024-00821-y}, pages = {371 -- 391}, abstract = {Background Wearable technologies have the potential to support health promotion and disease prevention. However, it remains unclear how the role of social determinants of health (SDoH) and digital determinants of health (DDoH) plays in this context. Objective This study investigates differences in sociodemographic factors and digital health literacy between wearable users and non-users, whether the association with wearable use varies across age groups and its potential mediator. Methods A cross-sectional nationwide telephone survey was conducted in November 2022 in a panel of adult internet users in Germany. Assessments included self-reported wearable use, sociodemographic factors (sex, age, education, household size and income, and residence region), and digital health literacy (measured with the eHealth Literacy Scale, eHEALS). Associations between wearable use, sociodemographic factors and digital health literacy were analyzed using binomial logistic regression models in the total sample and with age group stratification, with a supplementary mediation analysis examining digital health literacy as a mediator in the relationship between age and wearable use. Results Overall, 24\% (223/932) of participants (52\% male, mean age 55.6 years) reported using wearables for health. Wearable use was lower among participants aged 65 and above, with lower educational attainment, living in 1-2 person households, with below-average household income, and residing in smaller cities or former East Germany. Wearable use prevalence is substantially lower in older age groups (18-40: 36\%; 41-64: 26\%; 65+:14\%). Wearable users reported higher levels of digital health literacy (mean: 30.7, SD = 5) than non-users (mean: 28.3, SD = 6). Stratified analyses indicate that the association between digital health literacy and wearable use varies by age group, with significant positive association observed in older age groups (OR = 1.00, 95\% CI: 0.94 to 1.07 in age group 18-40; OR = 1.07, 95\% CI: 1.03 to 1.12 in age group 41-64; OR = 1.11, 95\% CI: 1.04 to 1.19 in age group 65+). Mediation analysis indicated that digital health literacy partially mediates the relationship between age and wearable use (indirect effect: coefficient = -0.0156, 95\% CI: -0.0244 to -0.00791, p <.001). Conclusions This study indicates sociodemographic disparities in wearable use among the German population and differences in digital health literacy between wearable users and non-users. A generational divide in wearable use was identified, with older adults being less likely to embrace this technology. This was especially true for older adults with lower digital health literacy. Future public health initiatives employing health technologies should take SDoH and DDoH into consideration to ensure effective and equitable impacts.}, language = {en} } @misc{WebberCookeWangetal., author = {Webber, H. and Cooke, D. and Wang, C. and Asseng, S. and Martre, P. and Ewert, F. and Kimball, B. and Hoogenboom, G. and Evett, S. and Chanzy, A. and Garrigues, S. and Olioso, A. and Copeland, K.S. and Steiner, J.L. and Cammarano, D. and Chen, Y. and Cr{\´e}peau, M. and Diamantopoulos, E. and Ferrise, R. and Manceau, L. and Gaiser, T. and Gao, Y. and Gayler, S. and Guarin, J.R. and Hunt, T. and J{\´e}go, G. and Padovan, G. and Pattey, E. and Ripoche, D. and Rodr{\´i}guez, A. and Ruiz-Ramos, M. and Shelia, V. and Srivastava, A.K. and Supit, I. and Tao, F. and Thorp, K. and Viswanathan, M. and Weber, T. and White, J.}, title = {Wheat crop models underestimate drought stress in semi-arid and Mediterranean environments}, series = {Field crops research}, volume = {332}, journal = {Field crops research}, publisher = {Elsevier BV}, address = {Amsterdam}, issn = {0378-4290}, doi = {10.1016/j.fcr.2025.110032}, pages = {1 -- 18}, abstract = {Under climate change and increasingly extreme weather, projections of water demand and drought stress from process-based crop models can inform risk management and adaptation strategies. Previous studies investigating maize crop models demonstrated considerable error in the simulation of water use, and no similar evaluation of wheat crop models exists. The aims of this study were to (1) evaluate wheat crop models' performance in reproducing observed daily evapotranspiration (ET) for Mediterranean and semi-arid environments, and (2) identify factors and processes associated with model error and uncertainty. These were assessed with an ensemble of wheat crop models for two experiments, one conducted in Bushland, Texas, USA (three seasons, deficit and full irrigation) and another in Avignon, France (four rainfed seasons) with winter bread and durum wheat, respectively. Models were calibrated with all observed data for crop growth. The model ensemble median underestimated water use in all environments evaluated, suggesting a systematic bias. The relative error in underestimating daily ET was constant across levels of atmospheric evaporative demand; therefore, the absolute error was greater for days with larger evaporative demand. This implies errors in the soil water balance increase more rapidly under high evaporative demand conditions. Using a potential versus reference crop evapotranspiration approach did not explain relative model performance. However, the sensitivity analysis indicated that simulation of atmospheric evaporative demand terms explained much more uncertainty in seasonal water use than terms related to soil depth or root growth. Errors in simulated leaf area index were associated with errors in daily simulated ET, but the relationship varied with the growth stage. Collectively, the results suggest the need to improve simulation of atmospheric ET demand to avoid underestimating projected impacts of drought or required water resource availability for viable production systems.}, language = {en} } @misc{SchrickerSchmidtNageletal., author = {Schricker, Klaus and Schmidt, Leander and Nagel, Falk and Diegel, Christian and Friedmann, Hannes and Seibold, Marc and Hellwig, Peter and Fr{\"o}hlich, Fabian and Kallage, Peter and Chen, Yunhui and Requardt, Herwig and Rack, Alexander and Bergmann, Jean Pierre}, title = {A comprehensive study on the influence of spatial power distribution on time-dependent keyhole behavior in laser beam welding of copper by means of high-speed synchrotron X-ray imaging}, series = {Optics \& laser technology}, volume = {192, Part E}, journal = {Optics \& laser technology}, publisher = {Elsevier BV}, address = {Amsterdam}, issn = {0030-3992}, doi = {10.1016/j.optlastec.2025.113999}, pages = {1 -- 15}, abstract = {This paper examines the impact of spatial power distributions on the time-dependent keyhole behavior during laser beam welding of copper using high-speed synchrotron X-ray imaging. The experimental setup utilized a COHERENT HighLight FL8000-ARM fiber laser with concentric intensity distribution created by an optical fiber cable. The European Synchrotron Radiation Facility (ESRF, beamline ID19) was used to conduct high-speed synchrotron imaging at 20,000 images per second to study the spatio-temporal keyhole behavior. Keyhole geometries were extracted through advanced image processing techniques, allowing quantification of parameters like depth, aperture, bulging, and determination of related oscillation frequencies. The results showed that core-dominated processes exhibit significant variations in keyhole geometry. In contrast, ring-dominated processes exhibited reduced penetration depths but increased melt pool dynamics due to altered absorption conditions and increased temperatures within the melt pool. A stabilized core-ring power distribution minimized fluctuations, resulting in improved process stability. The findings were summarized in a model concept describing three characteristic keyhole regimes: core-dominated, ring-dominated, and stabilized core-ring processes.}, language = {en} } @misc{GaoZhangChenetal., author = {Gao, Yunlong and Zhang, Yisong and Chen, Baihua and Xiong, Yuhui}, title = {Local Neighborhood Reliability Weighted Support Vector Machine}, series = {2020 2nd International Conference on Industrial Artificial Intelligence (IAI)}, journal = {2020 2nd International Conference on Industrial Artificial Intelligence (IAI)}, publisher = {IEEE}, isbn = {978-1-7281-8216-2}, doi = {10.1109/IAI50351.2020.9262215}, pages = {1 -- 6}, abstract = {Support vector machine (SVM) is a classification model, which learns the decision surface that maximizes the margin in the feature space. Such a decision surface has a good classification ability for unknown new samples. In real-world applications, the data set usually contains many noises and outliers, which will affect the learning of the decision surface, thus the maximum margin cannot be obtained, and the generalization ability of SVM will be reduced. In this paper, we introduce an adjacency factor to each input point to characterize the local neighbor relationship between each point. Weighting each sample point by the adjacency factor can let different sample points make different contributions to the learning of the decision surface. Thus, we can filter out the influence of noises and outliers on the decision surface by this weighting method. We propose this new method namely local neighborhood reliability weighted support vector machine (LN-SVM).}, language = {en} }