Results 11 to 20 of about 11,455,032 (320)

A platform for experimental precision medicine: The extended BXD mouse family. [PDF]

Cell Syst, 2021
The challenge of precision medicine is to model complex interactions among DNA variants, phenotypes, development, environments, and treatments. We address this challenge by expanding the BXD family of mice to 140 fully isogenic strains, creating a ...
Ashbrook DG, Arends D, Prins P, Mulligan MK, Roy S, Williams EG, Lutz CM, Valenzuela A, Bohl CJ, Ingels JF, McCarty MS, Centeno AG, Hager R, Auwerx J, Lu L, Williams RW.   +15 more
europepmc   +2 more sources

On Aqua-Based Silica (SiO₂-Water) Nanocoolant: Convective Thermal Potential and Experimental Precision Evaluation in Aluminum Tube Radiator. [PDF]

Nanomaterials (Basel), 2020
Although the research on potential use of nanofluids in automotive vehicles is in its embryonic stage, a number of studies have suggested the strong prospect of nanofluids for the efficient thermal management of automotive vehicles.
Shah TR, Ali HM, Janjua MM.
europepmc   +2 more sources

Impact of the Recent Measurements of the Top-Quark and W-Boson Masses on Electroweak Precision Fits. [PDF]

Physical Review Letters, 2022
We assess the impact of the very recent measurement of the top-quark mass by the CMS Collaboration on the fit of electroweak data in the standard model and beyond, with particular emphasis on the prediction for the mass of the W boson.
J. de Blas, M. Pierini, L. Reina, L. Silvestrini   +3 more
semanticscholar   +1 more source

Sub-percent Precision Measurement of Neutrino Oscillation Parameters with JUNO [PDF]

Chinese Physics C, High Energy Physics & Nuclear Physics, 2022
JUNO is a multi-purpose neutrino observatory under construction in the south of China. This publication presents new sensitivity estimates for the measurement of the Δm2 31, Δm2 21, sin2θ12, and sin2θ13 oscillation parameters using reactor ...
Juno collaboration Angel Abusleme, T. Adam, Shakeel Ahmad, Rizwan Ahmed, S. Aiello, M. Akram, A. Aleem, Tsagkarakis Alexandros, F. An, Q. An, G. Andronico, N. Anfimov, V. Antonelli, T. Antoshkina, B. Asavapibhop, J. Andr'e, D. Auguste, Weidong Bai, N. Balashov, Wander Baldini, A. Barresi, D. Basilico, E. Baussan, M. Bellato, A. Bergnoli, T. Birkenfeld, S. Blin, D. Blum, S. Blyth, A. Bolshakova, M. Bongrand, C. Bordereau, D. Breton, A. Brigatti, R. Brugnera, R. Bruno, A. Budano, J. Busto, I. Butorov, A. Cabrera, B. Caccianiga, Hao Cai, Xiao Cai, Yanke Cai, Z. Cai, R. Callegari, A. Cammi, A. Campeny, C. Cao, Guofu Cao, Jun Cao, R. Caruso, C. Cerna, C.S. Chan, Jinfan Chang, Yung-Hsi Chang, Guoming Chen, Pingping Chen, Po-An Chen, Shaomin Chen, Xurong Chen, Yi-Xin Chen, Yu Chen, Zhiyuan Chen, Zikang Chen, Jie Cheng, Yaping Cheng, Yuanyuan Cheng, A. Chetverikov, D. Chiesa, P. Chimenti, A. Chukanov, G. Claverie, C. Clementi, B. Clerbaux, S. C. D. Lorenzo, D. Corti, F. Corso, O. Dalager, C. Taille, Z. Deng, Z. Deng, W. Depnering, M. Diaz, Xuefeng Ding, Yayun Ding, B. Dirgantara, S. Dmitrievsky, T. Dohnal, D. Dolzhikov, G. Donchenko, Jian-Li Dong, E. Doroshkevich, M. Dracos, F. Druillole, R. Du, S. Du, S. Dusini, M. Dvořák, T. Enqvist, H. Enzmann, Andrea Fabbri, D. Fan, L. Fan, Jian Fang, Wen Fang, M. Fargetta, D. Fedoseev, Zheng-hao Fei, Li Feng, Qichun Feng, R. Ford, A. Fournier, H. Gan, F. Gao, A. Garfagnini, A. Gavrikov, M. Giammarchi, N. Giudice, M. Gonchar, G. Gong, H. Gong, Y. Gornushkin, A. Gottel, M. Grassi, V. Gromov, M. Gu, X. Gu, Yunting Gu, M. Guan, Yuduo Guan, N. Guardone, Cong Guo, Jingyuan Guo, Wanlei Guo, Xinheng Guo, Yuhang Guo, P. Hackspacher, C. Hagner, R. Han, Yang Han, Miao He, W. He, T. Heinz, P. Hellmuth, Yue-kun Heng, R. Herrera, Y. Hor, Shaojing Hou, Y. Hsiung, B. Hu, Hang Hu, Jianrun Hu, Jun Hu, Shouyang Hu, T. Hu, Yuxiang Hu, Zhuojun Hu, Guihong Huang, Hanxiong Huang, Kaixuan Huang, Wenhao Huang, X. Huang, X. Huang, Yongbo Huang, J. Hui, L. Huo, W. Huo, C. Huss, S. Hussain, A. Ioannisian, R. Isocrate, B. Jelmini, Ignacio Jeria, X. Ji, Huihui Jia, Junji Jia, S. Jian, Di Jiang, Wei Jiang, Xiaoshan Jiang, X. Jing, C. Jollet, J. Joutsenvaara, L. Kalousis, P. Kampmann, Line Kang, Rebin Karaparambil, N. Kazarian, A. Khatun, K. Khosonthongkee, D. Korablev, K. Kouzakov, A. Krasnoperov, N. Kutovskiy, P. Kuusiniemi, T. Lachenmaier, C. Landini, S. Leblanc, V. Lebrin, F. Lefèvre, R. Lei, R. Leitner, Jason Leung, Daozheng Li, Demin Li, Fei Li, Fule Li, Gaosong Li, Huiling Li, Mengzhao Li, Min Li, Nan Li, Qingjiang Li, Ruhui Li, Rui Li, Shanfeng Li, Tao Li, Teng Li, Weidong Li, Wei-guo Li, Xiaomei Li, Xiao-nan Li, Xinglong Li, Yi Li, Yichen Li, Yufeng Li, Zepeng Li, Zhaohan Li, Zhibing Li, Zi-Yuan Li, Zonghui Li, Hao Liang, Jia-Ming Liao, A. Limphirat, G. Lin, Shengxin Lin, Tao Lin, Jiajie Ling, I. Lippi, Fang Liu, Haidong Liu, Hao Liu, Hongbang Liu, Hongjuan Liu, Hongtao Liu, Hui Liu, Jianglai Liu, Jinchang Liu, Min Liu, Qian Liu, Q. Liu, Runxuan Liu, Shubin Liu, Shulin Liu, Xiaowei Liu, Xiwen Liu, Y. Liu, Yunzhe Liu, A. Lokhov, P. Lombardi, C. Lombardo, K. Loo, Chuan Lu, Haoqi Lu, Jing-qiao Lu, Junguang Lu, Shuxiang Lu, B. Lubsandorzhiev, S. Lubsandorzhiev, L. Ludhova, A. Lukanov, Da Luo, F. Luo, G. Luo, Shuqin Luo, W. Luo, Xiaojie Luo, V. Lyashuk, B. Ma, Bing Ma, Q. Ma, Si Ma, Xiaoyan Ma, Xubo Ma, J. Maalmi, Jingyu Mai, Y. Malyshkin, R. C. Mandujano, F. Mantovani, Francesco Manzali, X. Mao, Y. Mao, S. Mari, F. Marini, C. Martellini, G. Martin-Chassard, Agnese Martini, M. Mayer, D. Mayilyan, I. Mednieks, Artur Meinusch, Y. Meng, A. Meregaglia, E. Meroni, D. Meyhofer, M. Mezzetto, Jonathan Miller, L. Miramonti, M. C. Molla, P. Montini, M. Montuschi, Axel Muller, M. Nastasi, D. Naumov, E. Naumova, D. Navas-Nicolás, I. Nemchenok, Minh Thuan Nguyen Thi, F. Ning, Z. Ning, H. Nunokawa, L. Oberauer, J. Ochoa-Ricoux, A. Olshevskiy, D. Orestano, F. Ortica, R. Othegraven, A. Paoloni, S. Parmeggiano, Y. Pei, L. Pelicci, N. Pelliccia, A. Peng, H. Peng, Yuefeng Peng, Z-R Peng, F. Perrot, P. Petitjean, F. Petrucci, O. Pilarczyk, L. F. P. Rico, A. Popov, P. Poussot, E. Previtali, Fazhi Qi, M. Qi, Sen Qian, X. Qian, Zhenhai Qian, H. Qiao, Zhonghua Qin, S. Qiu, G. Ranucci, N. Raper, Reem Rasheed, A. Re, H. Rebber, A. Rebii, M. Redchuk, B. Ren, Jie Ren, B. Ricci, M. Rifai, M. Roche, N. Rodphai, A. Romani, B. Roskovec, X. Ruan, A. Rybnikov, A. Sadovsky, P. Saggese, S. Sanfilippo, A. Sangka, U. Sawangwit, J. Sawatzki, M. Schever, C. Schwab, K. Schweizer, A. Selyunin, A. Serafini, G. Settanta, M. Settimo, Z. Shao, V. Sharov, A. Shaydurova, Jingyan Shi, Yanan Shi, V. Shutov, A. Sidorenkov, F. vSimkovic, C. Sirignano, J. Siripak, M. Sisti, M. Slupecki, M. Smirnov, O. Smirnov, T. Sogo-Bezerra, S. Sokolov, J. Songwadhana, B. Soonthornthum, A. Sotnikov, Ondvrej vSr'amek, W. Sreethawong, A. Stahl, L. Stanco, K. Stankevich, Duvsan vStef'anik, H. Steiger, J. Steinmann, T. Sterr, M. Stock, V. Strati, A. Studenikin, Jun Su, Shifeng Sun, Xilei Sun, Y. Sun, Yongzhao Sun, Zhengyang Sun, N. Suwonjandee, M. Szelezniak, Jian Tang, Q. Tang, Q. Tang, Xiao Tang, V. Hariharan, E. Theisen, A. Tietzsch, I. Tkachev, T. Tměj, M. Torri, K. Treskov, A. Triossi, G. Troni, W. Trzaska, C. Tuvè, N. Ushakov, V. Vedin, G. Verde, M. Vialkov, B. Viaud, C. Vollbrecht, C. Volpe, K. Sturm, V. Vorobel, D. Voronin, L. Votano, P. Walker, Caishen Wang, Chung-Hsiang Wang, E. Wang, Guoli Wang, Jian Wang, Jun Wang, Lucinda W. Wang, Meifen Wang, Meng Wang, Ruiguang Wang, Siguang Wang, Wei Wang, Wenshuai Wang, Xi Wang, Xiangyue Wang, Yangfu Wang, Yaoguang Wang, Yi Wang, Yifang Wang, Yuanqing Wang, Yuman Wang, Zhe Wang, Zheng Wang, Zhimin Wang, Zongyi Wang, A. Watcharangkool, Wei Wei, Wenlu Wei, Yadong Wei, K. Wen, L. Wen, C. Wiebusch, S. Wong, B. Wonsak, Diru Wu, Qun Wu, Zhi Wu, M. Wurm, J. Wurtz, C. Wysotzki, Y. Xi, D. Xia, X. Xiao, Xiaochuan Xie, Yu-guang Xie, Zhangquan Xie, Zhao-Liang Xin, Z. Xing, Benda Xu, Chengze Xu, Donglian Xu   +499 more
semanticscholar   +1 more source

Power Contours: Optimising Sample Size and Precision in Experimental Psychology and Human Neuroscience [PDF]

Psychological methods, 2019
When designing experimental studies with human participants, experimenters must decide how many trials each participant will complete, as well as how many participants to test. Most discussion of statistical power (the ability of a study design to detect
D. Baker, Greta Vilidaite, F. Lygo, Anika K Smith, Tessa R. Flack, A. Gouws, T. Andrews   +6 more
semanticscholar   +1 more source

Snowmass 2021 Whitepaper: Proton Structure at the Precision Frontier [PDF]

Acta Physica Polonica B, 2022
An overwhelming number of theoretical predictions for hadron colliders require parton distribution functions (PDFs), which are an important ingredient of theory infrastructure for the next generation of high-energy experiments. This whitepaper summarizes
S. Amoroso, A. Apyan, N. Armesto, R. Ball, V. Bertone, C. Bissolotti, J. Bluemlein, R. Boughezal, G. Bozzi, D. Britzger, Andy Buckley, A. Candido, S. Carrazza, F. Celiberto, S. Cerci, G. Chachamis, A. Cooper-Sarkar, A. Courtoy, T. Cridge, J. Cruz-Martinez, F. Giuli, M. Guzzi, C. Gwenlan, L. Harland–Lang, F. Hekhorn, T. Hobbs, S. Hoeche, A. Huss, J. Huston, J. Jalilian-Marian, M. Klein, G. Krintiras, C. Loizides, H.-W. Lin, G. Magni, B. Malaescu, B. Mistlberger, S. Moch, P. Nadolsky, E. Nocera, F. Olness, F. Petriello, J. Pires, K. Rabbertz, J. Rojo, G. Schnell, C. Schwan, A. Siódmok, D. Soper, M. Sutton, R. Thorne, M. Ubiali, G. Vita, J. Weber, K. Xie, C. Yuan, B. Zhou   +56 more
semanticscholar   +1 more source

Les Houches 2021 - Physics at TeV Colliders: Report on the standard model precision wishlist [PDF]

Journal of Physics G: Nuclear and Particle Physics, 2022
Les Houches activities in 2021 were truncated due to the lack of an in-person component. However, given the rapid progress in the field and the restart of the LHC, we wanted to continue the bi-yearly tradition of updating the standard model precision ...
A. Huss, J. Huston, S. Jones, M. Pellen
semanticscholar   +1 more source

HiggsSignals-2: probing new physics with precision Higgs measurements in the LHC 13 TeV era [PDF]

The European Physical Journal C, 2020
The program HiggsSignals confronts the predictions of models with arbitrary Higgs sectors with the available Higgs signal rate and mass measurements, resulting in a likelihood estimate.
P. Bechtle, S. Heinemeyer, T. Klingl, T. Stefaniak, G. Weiglein, J. Wittbrodt   +5 more
semanticscholar   +1 more source

Experimental Testbed and Methodology for the Assessment of RTK GNSS Receivers Used in Precision Agriculture

IEEE Access, 2020
Precision Agriculture (PA) refers to applications asking for reliable and highly available precise positions, at centimeter level, in most of operational scenarios. Machinery guidance, automatic steering and controlled traffic farming enable machinery to
M. Pini, G. Marucco, Gianluca Falco, M. Nicola, Wim De Wilde   +4 more
semanticscholar   +1 more source

Molecularly soldered covalent organic frameworks for ultrafast precision sieving

Science Advances, 2021
COF membrane was synthesized using a molecularly soldered strategy toward precise-sieving angstrom-sized contaminants. The weak interlamellar interaction of covalent organic framework (COF) nanocrystals inhibit the construction of highly efficient ion ...
Yanqiu Zhang, Jing Guo, G. Han, Yongping Bai, Qingchun Ge, Jun Ma, Cher Hon Lau, L. Shao   +7 more
semanticscholar   +1 more source