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1. FKRP-dependent glycosylation of fibronectin regulates muscle pathology in muscular dystrophy

Author: A. J. Wood, C. H. Lin, M. Li, K. Nishtala, S. Alaei, F. Rossello, C. Sonntag, L. Hersey, L. B. Miles, C. Krisp, S. Dudczig, A. J. Fulcher, S. Gibertini, P. J. Conroy, A. Siegel, M. Mora, P. Jusuf, N. H. Packer, and P. D. Currie
Subjects: Science
Abstract: FKRP mutations cause muscular dystrophies with varied clinical presentations. The target of FKRP is α-dystroglycan, but here the authors show that FKRP also directs sialylation of fibronectin, a process that is essential for recruitment o collagen to the muscle basement membrane.
Published: 2021
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2. RADIOMETRIC CALIBRATION OF LANDSAT-8 OLI AND SENTINEL-2 MSI IMAGES FOR WATER QUALITY MODELLING OF LAGUNA LAKE, PHILIPPINES

Author: E. V. Gubatanga Jr, A. C. Blanco, C. H. Lin, and B. Y. Lin
Subjects: Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
Abstract: Regular monitoring of water quality in Laguna Lake is important for it supports aquaculture and provides water supply for Metro Manila. Remote sensing makes it possible to monitor the spectral conditions of the lake on a regular time interval and with complete coverage except for the areas with cloud and shadow cover. Along with in-situ water quality measurements, bio-optical models can be developed to determine the relationship between spectral and bio-optical properties of the lake water and consequently enables the estimation of water quality through remote sensing. However, radiometric calibration is needed to minimize the effects of the changing atmospheric conditions over time and to account for the difference in sensors (e.g., Landsat-8 OLI, Sentinel-2 MSI) used for water quality assessment. Canonical correlation analysis is used to detect pseudo-invariant features (PIFs), which are ground objects that do not dramatically vary in spectral properties over time. Road surface and other large man-made infrastructures are the commonly detected PIFs. These PIFs are used to compute for the parameters used to normalize reflectance values of remotely-sensed images obtained on different dates and using different sensors. The normalization resulted to a reduction of difference in reflectance values between the reference image and the adjusted image, though not marginal. This is due to the use of a linear equation to adjust the image, which limits the ability of the reflectance values of the image to fit to the values of the reference image.
Published: 2019
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3. HYBRID CANONICAL CORRELATION ANALYSIS AND REGRESSION FOR RADIOMETRIC NORMALIZATION OF CROSS-SENSOR SATELLITE IMAGES

Author: L. G. Denaro and C. H. Lin
Subjects: Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
Abstract: Relative radiometric normalization (RRN) minimizes radiometric differences among images caused by inconsistencies of acquisition condition. In this study, a cross-sensor RRN method is proposed for optical satellite images from Landsat 8 OLI (L8) and Landsat 7 ETM+ (L7) sensors. The data from these two sensors have different pixel depths. Therefore, a rescaling on the radiometry resolution is performed in the preprocessing. Then, multivariate alteration detection (MAD) based on kernel canonical correlation analysis (KCCA) is adopted, which is called KCCA-based MAD, to select pseudo-invariant features (PIFs). The process of RRN is performed by using polynomial regression with Gaussian weighted regression. In experiments, qualitative and quantitative analyses on images from different sensors are conducted. The experimental result demonstrates the superiority of the proposed nonlinear transformation, in terms of regression quality and radiometric consistency, compared with RRN using linear regression.
Published: 2019
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4. FEATURE SELECTION OF OPTICAL SATELLITE IMAGES FOR CHLOROPHYLL-A CONCENTRATION ESTIMATION

Author: M. V. Nguyen, H. J. Chu, C. H. Lin, and M. J. Lalu
Subjects: Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
Abstract: Healthy inland freshwater sources, such as lakes, reservoirs, rivers, and streams, play crucial roles in providing numerous benefits to surrounding societies. However, these inland water bodies have been severely polluted by human activities. Therefore, long-term monitoring and real-time measurements of water quality are essential to identify the changes of water quality for unexpected environmental incidents avoidance. The success of satellite-based water quality studies relies on three key components: precise atmospheric correction method, optimization algorithm, and regression model. Previous studies integrated various algorithms and regression models, including (semi-) empirical or (semi-) analytical algorithms, and (non-) linear regression models, to obtain satisfactory results. Nevertheless, the selection of appropriate algorithm is complex and challenging because of the fact that the changes in chemical and physical properties of water can lead to different method determination. To alleviate the aforementioned difficulties, this study proposed a potential integration which comprises an optimization method for efficient water-quality model selection, ordinary least squares regression, and an accurately atmospheric corrected dataset. Prime focus of this study is water-quality model selection which optimizes an objective function that aims to maximize prediction accuracy of regression models. According to the experiments, the performance of the selected water-quality model using proposed procedures, dominated that of the existing algorithms in terms of root-mean-square error (RMSE), the Pearson correlation coefficient (r), and slope of the regressed line (m) between measured and predicted chlorophyll-a.
Published: 2019
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5. Google Earth Engine-based Mangrove Mapping and Change Detections for Sustainable Development in Tien Yen District, Quang Ninh Province, Vietnam

Author: M. H. Nguyen, N. T. Nguyen, G. Y. I. Ryadi, M. V. Nguyen, T. L. Duong, C.-H. Lin, and T. B. Nguyen
Subjects: Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
Abstract: Vietnam secures a place among the top countries that possess the largest mangrove areas worldwide. The mangrove forests are mainly found in the Northern, Northeast, Central and Southern Delta, providing goods to habitants, and make significant help mitigate global climate change. Despite this, mangroves are severely threatened because of extensive deforestation in Vietnam. Recent advances have utilized remotely sensed imagery to present the spatial and temporal distribution of mangroves. Nevertheless, the approach is limited by imagery availability and computing resources, and difficult to share within the community. Therefore, a shareable Web-based tool that reinforces coastal managers to monitor the changes in mangroves is needed. Recently, Google Earth Engine (GEE) is a cloud-based geospatial analysis platform, which allows users to freely exploit the availability of satellite imagery and harness their computing capacity. This research aims to use GEE to detect mangrove changes, a case study in Tien Yen district, Quang Ninh, over a period from 2010 to 2020. Four supervised classification algorithms, including Random Forest (RF), Support Vector Machine (SVM), Naïve Bayes classifier, and Classification and Regression Trees (CART) have been implemented on GEE platform to select the best algorithm to produce spatial-temporal mangrove maps, then change detection of mangroves is performed. The results showed that RF demonstrated the highest accuracy with overall accuracy and kappa values of 91.04% and 0.75 respectively. The mangrove areas statistically reported by the GEE-based platform are in line with the governmental statistic report annually, marking the capabilities of GEE in natural resource management.
Published: 2024
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6. Biomass yield potential, feedstock quality, and nutrient removal of perennial buffer strips under continuous zero fertilizer application

Author: C.-H. Lin, C. Zumpf, C. Jang, T. Voigt, G. Tian, O. Oladeji, A. Cox, R. Mehzabin, and D. Lee
Subjects: Ecology, QH540-549.5, Life, QH501-531, Geology, QE1-996.5
Abstract: Perennial-based buffer strips have been promoted as having the potential for improving ecosystem services from riparian areas while producing biomass as livestock feed or as a bioenergy feedstock. Both biomass production and nutrient removal of buffer strips are substantially influenced by the vegetation types for the multipurpose perennial buffers. In this 2016–2019 study in western Illinois, two perennial cropping systems, including forage crops composed of cool-season grass mixtures (forage system) and bioenergy crops made up of warm-season grass mixtures (bioenergy system), were used to establish buffer strips for assessing biomass production, feedstock quality, nutrient removal, and buffer longevity. Treatments for this study reflecting agronomic practices included (1) two harvests occurring in summer (at anthesis) and fall (after complete senescence) and (2) one harvest in fall for the forage system (two-cut vs. one-cut forage) and (3) one fall harvest for the bioenergy system (one-cut bioenergy). Successively harvesting without any fertilizer input resulted in a yield decline in forage biomass over 3 years by approximately 30 % (6.3 to 4.4 Mg DM ha−1 (dry matter) with a rate of 1.0 Mg ha−1 yr−1) in the two-cut forage and by 35 % (4.9 to 3.2 Mg DM ha−1 with a rate of 0.9 Mg ha−1 yr−1) in the one-cut forage systems. The feed quality also decreased over the years by showing declined rates of 12.9 (crucial protein), 0.9 (calcium), 0.7 (copper), and 1.3 g kg−1 DM yr−1 (zinc). Empirical models predicted enteric CH4 emissions from cattle ranged from 225.7 to 242.6 g per cow per day based on the feed nutritive values. In contrast, bioenergy biomass yield increased by 27 % from 4.9 to 6.7 Mg DM ha−1 with a consistent quality (cellulose of ∼ 397.9 g kg−1; hemicellulose of ∼ 299.4 g kg−1), corresponding to the increased total theoretical ethanol yield from 1.8 × 103 to 2.4 × 103 L ha−1 (∼ 33 % increase). Annual nutrient removals of N, P, K, Ca, and Mg were significantly higher in the forage systems (e.g., two-cut: 52.6–106.9 kg N ha−1; one-cut: 44.5–84.1 kg N ha−1) than those in the bioenergy system (e.g., 25.9–34.4 kg N ha−1); however, the removal rate declined rapidly over 3 years (e.g., ∼ 49 % reduction) as the annual biomass yield declined in the forage systems. This on-farm field study demonstrated the potential of the perennial crop used as buffer strip options for biomass production and buffer sustainability at the edge of the field.
Published: 2024
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7. Correction to: Medium-scale traveling ionospheric disturbances by three-dimensional ionospheric GPS tomography

Author: C. H. Chen, A. Saito, C. H. Lin, M. Yamamoto, S. Suzuki, and G. K. Seemala
Subjects: Geography. Anthropology. Recreation, Geodesy, QB275-343, Geology, QE1-996.5
Abstract: An amendment to this paper has been published and can be accessed via the original article.
Published: 2020
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8. Influenza A plasma and serum virus antibody detection comparison in dogs using blocking enzyme-linked immunosorbent assay

Author: H. T. Lin, C. H. Hsu, H. J. Tsai, C. H. Lin, P. Y. Lo, S. L. Wang, and L. C. Wang
Subjects: dog, enzyme-linked immunosorbent assay, influenza A virus, plasma, serum, Animal culture, SF1-1100, Veterinary medicine, SF600-1100
Abstract: Background and Aim: The influenza A virus (IAV) is an important zoonotic pathogen with infections also reported in dogs. IAV infections can be detected through the presence of antibodies using the enzyme-linked immunosorbent assay (ELISA). Serum is the only standard sample source; however, there is no information on the availability of other sample sources for IAV antibody detection in dogs. Compared with serum, plasma is more widely employed in most animal hospitals. The object of this study is to investigate whether plasma collected in ethylenediaminetetraacetic acid (EDTA) tubes (EDTA plasma) or heparin tubes (heparin plasma) could be used in the ELISA protocol instead of serum for IAV antibody detection in dogs. Materials and Methods: Totally, 82 matched EDTA plasma and serum sample pairs and 79 matched heparin plasma and serum sample pairs were employed using blocking enzyme-linked immunosorbent assay (bELISA). The agreement and correlation between the plasma (EDTA or heparin plasma) and serum were assessed using the agreement index kappa (kD) calculation and Pearson correlation coefficient, respectively. Results: The agreement index kD of EDTA plasma and serum was 1.0, and that of heparin plasma and serum was 0.85. The Pearson correlation coefficient of EDTA plasma and serum was 0.87 (p
Published: 2015
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9. Ionospheric assimilation of radio occultation and ground-based GPS data using non-stationary background model error covariance

Author: C. Y. Lin, T. Matsuo, J. Y. Liu, C. H. Lin, H. F. Tsai, and E. A. Araujo-Pradere
Subjects: Environmental engineering, TA170-171, Earthwork. Foundations, TA715-787
Abstract: Ionospheric data assimilation is a powerful approach to reconstruct the 3-D distribution of the ionospheric electron density from various types of observations. We present a data assimilation model for the ionosphere, based on the Gauss–Markov Kalman filter with the International Reference Ionosphere (IRI) as the background model, to assimilate two different types of slant total electron content (TEC) observations from ground-based GPS and space-based FORMOSAT-3/COSMIC (F3/C) radio occultation. Covariance models for the background model error and observational error play important roles in data assimilation. The objective of this study is to investigate impacts of stationary (location-independent) and non-stationary (location-dependent) classes of the background model error covariance on the quality of assimilation analyses. Location-dependent correlations are modeled using empirical orthogonal functions computed from an ensemble of the IRI outputs, while location-independent correlations are modeled using a Gaussian function. Observing system simulation experiments suggest that assimilation of slant TEC data facilitated by the location-dependent background model error covariance yields considerably higher quality assimilation analyses. Results from assimilation of real ground-based GPS and F3/C radio occultation observations over the continental United States are presented as TEC and electron density profiles. Validation with the Millstone Hill incoherent scatter radar data and comparison with the Abel inversion results are also presented. Our new ionospheric data assimilation model that employs the location-dependent background model error covariance outperforms the earlier assimilation model with the location-independent background model error covariance, and can reconstruct the 3-D ionospheric electron density distribution satisfactorily from both ground- and space-based GPS observations.
Published: 2015
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10. Ionospheric shock waves triggered by rockets

Author: C. H. Lin, J. T. Lin, C. H. Chen, J. Y. Liu, Y. Y. Sun, Y. Kakinami, M. Matsumura, W. H. Chen, H. Liu, and R. J. Rau
Subjects: Science, Physics, QC1-999, Geophysics. Cosmic physics, QC801-809
Abstract: This paper presents a two-dimensional structure of the shock wave signatures in ionospheric electron density resulting from a rocket transit using the rate of change of the total electron content (TEC) derived from ground-based GPS receivers around Japan and Taiwan for the first time. From the TEC maps constructed for the 2009 North Korea (NK) Taepodong-2 and 2013 South Korea (SK) Korea Space Launch Vehicle-II (KSLV-II) rocket launches, features of the V-shaped shock wave fronts in TEC perturbations are prominently seen. These fronts, with periods of 100–600 s, produced by the propulsive blasts of the rockets appear immediately and then propagate perpendicularly outward from the rocket trajectory with supersonic velocities between 800–1200 m s−1 for both events. Additionally, clear rocket exhaust depletions of TECs are seen along the trajectory and are deflected by the background thermospheric neutral wind. Twenty minutes after the rocket transits, delayed electron density perturbation waves propagating along the bow wave direction appear with phase velocities of 800–1200 m s−1. According to their propagation character, these delayed waves may be generated by rocket exhaust plumes at earlier rocket locations at lower altitudes.
Published: 2014
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11. High-k dielectrics on (100) and (110) n-InAs: Physical and electrical characterizations

Author: C. H. Wang, G. Doornbos, G. Astromskas, G. Vellianitis, R. Oxland, M. C. Holland, M. L. Huang, C. H. Lin, C. H. Hsieh, Y. S. Chang, T. L. Lee, Y. Y. Chen, P. Ramvall, E. Lind, W. C. Hsu, L.-E. Wernersson, R. Droopad, M. Passlack, and C. H. Diaz
Subjects: Physics, QC1-999
Abstract: Two high-k dielectric materials (Al2O3 and HfO2) were deposited on n-type (100) and (110) InAs surface orientations to investigate physical properties of the oxide/semiconductor interfaces and the interface trap density (Dit). X-ray photoelectron spectroscopy analyses (XPS) for native oxides of (100) and (110) as-grown n-InAs epi wafers show an increase in As-oxide on the (100) surface and an increase in InOx on the (110) surface. In addition, XPS analyses of high-k (Al2O3 and HfO2) on n-InAs epi show that the intrinsic native oxide difference between (100) and (110) epi surfaces were eliminated by applying conventional in-situ pre-treatment (TriMethyAluminium (TMA)) before the high-k deposition. The capacitance-voltage (C-V) characterization of HfO2 and Al2O3 MOSCAPs on both types of n-InAs surfaces shows very similar C-V curves. The interface trap density (Dit) profiles show Dit minima of 6.1 × 1012/6.5 × 1012 and 6.6 × 1012/7.3 × 1012 cm−2 eV−1 for Al2O3 and HfO2, respectively for (100) and (110) InAs surfaces. The similar interface trap density (Dit) on (100) and (110) surface orientation were observed, which is beneficial to future InAs FinFET device with both (100) and (110) surface channel orientations present.
Published: 2014
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12. Recurrence of hepatocellular carcinoma after liver transplantation presenting as anastomotic biliary stricture Presentación del carcinoma hepatocelular recurrente tras el trasplante de hígado en forma de estenosis biliar anastomótica

Author: S. Y. Chen, C. H. Lin, J. C. Yu, C. Y. Yu, and C. B. Hsieh
Subjects: Estenosis biliar anastomótica, Trasplante hepático ortotópico, Recurrencia, Carcinoma hepatocelular, Anastomotic biliary stricture, Orthotopic liver transplantation, Recurrence, Hepatocellular carcinoma, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract: A 52-year-old man visited our hospital complaining of anorexia and fatigue two months after receiving orthotopic liver transplantation for hepatocellular carcinoma. A laboratory investigation demonstrated a clinical picture of obstructive jaundice. T-tube cholangiography showed biliary stricture over the anastomotic site. Percutaneous transluminal balloon dilatation and stenting was attempted but failed. Magnetic resonance cholangiography showed possible tumor recurrence over the site of the anastomotic biliary stricture. A biopsy sample was obtained via ultrasound-guided aspiration and histopathological study revealed inflammatory and fibrotic changes. With high suspicion of recurrence of the hepatocellular carcinoma, surgical exploration was performed and an intraoperative frozen section proved the recurrence. We thus diagnosed this case as a recurrence of hepatocellular carcinoma after liver transplantation. To our knowledge, there have been no previous reports of early tumor recurrence after liver transplantation being the cause of an anastomotic biliary stricture.Un varón de 52 años visitó nuestro hospital quejándose de anorexia y fatiga a los dos meses de haber recibido un trasplante hepático ortotópico a causa de un carcinoma hepatocelular. La analítica mostró un cuadro clínico de ictericia obstructiva. La colangiografía con tubo en T mostró una estenosis biliar sobre la anastomosis. Se intentó una dilatación transluminal percutánea con globo y colocación de endoprótesis, que fracasó. La colangiografía por resonancia magnética mostró una posible recurrencia tumoral sobre el lugar de la estenosis biliar anastomótica. Se extrajo una muestra de biopsia mediante aspiración bajo guía ecográfica y el estudio histopatológico mostró alteraciones inflamatorias y fibróticas. Al sospecharse la recurrencia del carcinoma hepatocelular, se realizó una exploración quirúrgica; un corte intraoperatorio congelado demostró dicha recurrencia. Así, diagnosticamos este caso como la recurrencia de un carcinoma hepatocelular después de un trasplante de hígado. Que sepamos, no se ha publicado anteriormente ninguna recurrencia tumoral precoz posterior a un trasplante hepático que fuera causa de estenosis biliar anastomótica.
Published: 2008

13. Unveiling attenuation structures in the northern Taiwan volcanic zone

Author: Y.-P. Lin, J. Y.-T. Ko, B.-S. Huang, C.-H. Lin, and M.-H. Shih
Subjects: Medicine, Science
Abstract: Abstract This cutting-edge study delves into regional magmatism in northern Taiwan through advanced 3-D P- and S-wave frequency-dependent attenuation tomography. Positioned at the dynamic convergence boundary between the Philippine Sea Plate and the Eurasian Plate, Taiwan experiences moderate earthquakes and intriguing volcanic activity, with a focus on the Tatun volcano group. Employing the Formosa seismic array for high-resolution results, our research identifies high-attenuation anomalies (low Q) beneath the northern Taiwan volcanic zone (NTVZ) and offshore submarine volcanoes, indicative of potential hydrothermal activities and magma reservoirs at varying depths. Additionally, we explore low-attenuation anomalies (high Q) in the forearc region of the Ryukyu subduction zone, suggestive of partial saturation linked to serpentinization processes resulting from seawater infiltration or forearc mantle hydration. These findings shed light on the complex geological features and provide essential insights into the crustal properties of northern Taiwan, contributing to a deeper understanding of its magmatic evolution and tectonic processes.
Published: 2024
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14. Single-Image HDR Reconstruction Based on Two-Stage GAN Structure.

Author: B.-C. Guo and C.-H. Lin
Published: 2023
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15. Ruptured caudate lobe hepatocellular carcinoma presents with lesser sac tumor Carcinoma hepatocelular del lóbulo cuadrado roto que se presenta como tumor

Author: C. H. Lin, H. F. Hsieh, S. J. Chou, J. C. Yu, T. W. Chen, and C. B. Hsieh
Subjects: Diseases of the digestive system. Gastroenterology, RC799-869
Published: 2006

16. Pancreatic adenocarcinoma mimicking intraductal papillary mucinous tumor (IPMT) Adenocarcinoma pancreático simulando tumor mucinoso papilar intraductal

Author: S. Y. Chen, C. H. Lin, J. C. Yu, and D. C. Chan
Subjects: Diseases of the digestive system. Gastroenterology, RC799-869
Published: 2006

17. Temporal Structures in Positron Spectra and Charge-Sign Effects in Galactic Cosmic Rays

Author: M. Aguilar, G. Ambrosi, H. Anderson, L. Arruda, N. Attig, C. Bagwell, F. Barao, M. Barbanera, L. Barrin, A. Bartoloni, R. Battiston, N. Belyaev, J. Berdugo, B. Bertucci, V. Bindi, K. Bollweg, J. Bolster, M. Borchiellini, B. Borgia, M. J. Boschini, M. Bourquin, J. Burger, W. J. Burger, X. D. Cai, M. Capell, J. Casaus, G. Castellini, F. Cervelli, Y. H. Chang, G. M. Chen, G. R. Chen, H. Chen, H. S. Chen, Y. Chen, L. Cheng, H. Y. Chou, S. Chouridou, V. Choutko, C. H. Chung, C. Clark, G. Coignet, C. Consolandi, A. Contin, C. Corti, Z. Cui, K. Dadzie, F. D’Angelo, A. Dass, C. Delgado, S. Della Torre, M. B. Demirköz, L. Derome, S. Di Falco, V. Di Felice, C. Díaz, F. Dimiccoli, P. von Doetinchem, F. Dong, F. Donnini, M. Duranti, A. Egorov, A. Eline, F. Faldi, J. Feng, E. Fiandrini, P. Fisher, V. Formato, C. Gámez, R. J. García-López, C. Gargiulo, H. Gast, M. Gervasi, F. Giovacchini, D. M. Gómez-Coral, J. Gong, C. Goy, D. Grandi, M. Graziani, A. N. Guracho, S. Haino, K. C. Han, R. K. Hashmani, Z. H. He, B. Heber, T. H. Hsieh, J. Y. Hu, B. W. Huang, M. Ionica, M. Incagli, Yi Jia, H. Jinchi, G. Karagöz, S. Khan, B. Khiali, Th. Kirn, A. P. Klipfel, O. Kounina, A. Kounine, V. Koutsenko, D. Krasnopevtsev, A. Kuhlman, A. Kulemzin, G. La Vacca, E. Laudi, G. Laurenti, G. LaVecchia, I. Lazzizzera, H. T. Lee, S. C. Lee, H. L. Li, J. Q. Li, M. Li, Q. Li, Q. Y. Li, S. Li, S. L. Li, J. H. Li, Z. H. Li, J. Liang, M. J. Liang, C. H. Lin, T. Lippert, J. H. Liu, S. Q. Lu, Y. S. Lu, K. Luebelsmeyer, J. Z. Luo, S. D. Luo, Xi Luo, C. Mañá, J. Marín, J. Marquardt, T. Martin, G. Martínez, N. Masi, D. Maurin, T. Medvedeva, A. Menchaca-Rocha, Q. Meng, M. Molero, P. Mott, L. Mussolin, Y. Najafi Jozani, J. Negrete, R. Nicolaidis, N. Nikonov, F. Nozzoli, J. Ocampo-Peleteiro, A. Oliva, M. Orcinha, M. A. Ottupara, M. Palermo, F. Palmonari, M. Paniccia, A. Pashnin, M. Pauluzzi, S. Pensotti, V. Plyaskin, S. Poluianov, X. Qin, Z. Y. Qu, L. Quadrani, P. G. Rancoita, D. Rapin, A. Reina Conde, E. Robyn, I. Rodríguez-García, L. Romaneehsen, F. Rossi, A. Rozhkov, D. Rozza, R. Sagdeev, E. Savin, S. Schael, A. Schultz von Dratzig, G. Schwering, E. S. Seo, B. S. Shan, T. Siedenburg, G. Silvestre, J. W. Song, X. J. Song, R. Sonnabend, L. Strigari, T. Su, Q. Sun, Z. T. Sun, M. Tacconi, X. W. Tang, Z. C. Tang, J. Tian, Y. Tian, Samuel C. C. Ting, S. M. Ting, N. Tomassetti, J. Torsti, T. Urban, I. Usoskin, V. Vagelli, R. Vainio, M. Valencia-Otero, E. Valente, E. Valtonen, M. Vázquez Acosta, M. Vecchi, M. Velasco, J. P. Vialle, C. X. Wang, L. Wang, L. Q. Wang, N. H. Wang, Q. L. Wang, S. Wang, X. Wang, Yu Wang, Z. M. Wang, J. Wei, Z. L. Weng, H. Wu, Y. Wu, J. N. Xiao, R. Q. Xiong, X. Z. Xiong, W. Xu, Q. Yan, H. T. Yang, Y. Yang, A. Yelland, H. Yi, Y. H. You, Y. M. Yu, Z. Q. Yu, C. Zhang, F. Zhang, F. Z. Zhang, J. Zhang, J. H. Zhang, Z. Zhang, F. Zhao, C. Zheng, Z. M. Zheng, H. L. Zhuang, V. Zhukov, A. Zichichi, and P. Zuccon
Published: 2023
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18. E-Core Implementation in Intel 4 with PowerVia (Backside Power) Technology.

Author: M. Shamanna, E. Abuayob, G. Aenuganti, C. Alvares, J. Antony, A. Bahudhanam, A. Chandran, P. Chew, A. Chatterjee, B. Chauhan, N. Dandeti, J. Desai, M. Doyle, T. Dmukauskas, P. Farache, E. Fetzer, K. Fischer, P. Hack, Y. Greenzweig, John Giacobbe, Walid M. Hafez, E. Haralson, A. Hegde, A. Illa, M. Islam, S. Jain, M. Jang, J. Nguyen, T. Tong, L. Jiang, Eric Karl, P. Kalangi, G. Khoo, A. Krishnamoorthy, B. Kuns, W. Li, R. Livengood, T. Malik, R. Priyanka, H. Faraby, Y. Maymon, K. Mistry, K. Morgan, S. Natarajan, O. Nevo, M. Oh, P. Pardy, J. Park, P. Penmatsa, Boyd Phelps, C. Peterson, S. Rajappa, A. Raveh, A Rezaie, T. Ravishankar, R. Ramaswamy, S. Reddy, R. Saha, S. Sen, R. Sanchez, R. Sanaga, B. Simkhovich, Bernhard Sell, M. Senger, B. Schnarch, M. Seshadri, O. Sidorov, S. Subramanian, K. Subramanian, B. Truong, S. Bangalore, Jeffery Hicks, S. Venkatesh, D. Christensen, K. Bhargav, M. Von Haartman, P. Joshi, S. Zickel, C.-H. Lin, J. Huening, T.-H. Wu, N. Bakken, A. Afzal, A. Raman, Sj. Rao, V. Kawar, J. Neirynck, D. Bradley, M. Duwe, S. Wu, V. Patil, and M. Bayoumy
Published: 2023
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19. Properties of Cosmic-Ray Sulfur and Determination of the Composition of Primary Cosmic-Ray Carbon, Neon, Magnesium, and Sulfur: Ten-Year Results from the Alpha Magnetic Spectrometer

Author: M. Aguilar, L. Ali Cavasonza, B. Alpat, G. Ambrosi, L. Arruda, N. Attig, C. Bagwell, F. Barao, L. Barrin, A. Bartoloni, S. Başeğmez-du Pree, R. Battiston, N. Belyaev, J. Berdugo, B. Bertucci, V. Bindi, K. Bollweg, J. Bolster, M. Borchiellini, B. Borgia, M. J. Boschini, M. Bourquin, E. F. Bueno, J. Burger, W. J. Burger, X. D. Cai, M. Capell, J. Casaus, G. Castellini, F. Cervelli, Y. H. Chang, G. M. Chen, G. R. Chen, H. Chen, H. S. Chen, Y. Chen, L. Cheng, H. Y. Chou, S. Chouridou, V. Choutko, C. H. Chung, C. Clark, G. Coignet, C. Consolandi, A. Contin, C. Corti, Z. Cui, K. Dadzie, A. Dass, C. Delgado, S. Della Torre, M. B. Demirköz, L. Derome, S. Di Falco, V. Di Felice, C. Díaz, F. Dimiccoli, P. von Doetinchem, F. Dong, F. Donnini, M. Duranti, A. Egorov, A. Eline, F. Faldi, J. Feng, E. Fiandrini, P. Fisher, V. Formato, C. Gámez, R. J. García-López, C. Gargiulo, H. Gast, M. Gervasi, F. Giovacchini, D. M. Gómez-Coral, J. Gong, C. Goy, V. Grabski, D. Grandi, M. Graziani, A. N. Guracho, S. Haino, K. C. Han, R. K. Hashmani, Z. H. He, B. Heber, T. H. Hsieh, J. Y. Hu, B. W. Huang, M. Incagli, W. Y. Jang, Yi Jia, H. Jinchi, G. Karagöz, B. Khiali, G. N. Kim, Th. Kirn, O. Kounina, A. Kounine, V. Koutsenko, D. Krasnopevtsev, A. Kuhlman, A. Kulemzin, G. La Vacca, E. Laudi, G. Laurenti, G. LaVecchia, I. Lazzizzera, H. T. Lee, S. C. Lee, H. L. Li, J. Q. Li, M. Li, Q. Li, Q. Y. Li, S. Li, S. L. Li, J. H. Li, Z. H. Li, J. Liang, M. J. Liang, C. H. Lin, T. Lippert, J. H. Liu, S. Q. Lu, Y. S. Lu, K. Luebelsmeyer, J. Z. Luo, S. D. Luo, Xi Luo, F. Machate, C. Mañá, J. Marín, J. Marquardt, T. Martin, G. Martínez, N. Masi, D. Maurin, T. Medvedeva, A. Menchaca-Rocha, Q. Meng, V. V. Mikhailov, M. Molero, P. Mott, L. Mussolin, J. Negrete, N. Nikonov, F. Nozzoli, J. Ocampo-Peleteiro, A. Oliva, M. Orcinha, M. A. Ottupara, M. Palermo, F. Palmonari, M. Paniccia, A. Pashnin, M. Pauluzzi, S. Pensotti, V. Plyaskin, S. Poluianov, X. Qin, Z. Y. Qu, L. Quadrani, P. G. Rancoita, D. Rapin, A. Reina Conde, E. Robyn, L. Romaneehsen, A. Rozhkov, D. Rozza, R. Sagdeev, S. Schael, A. Schultz von Dratzig, G. Schwering, E. S. Seo, B. S. Shan, T. Siedenburg, J. W. Song, X. J. Song, R. Sonnabend, L. Strigari, T. Su, Q. Sun, Z. T. Sun, M. Tacconi, X. W. Tang, Z. C. Tang, J. Tian, Y. Tian, Samuel C. C. Ting, S. M. Ting, N. Tomassetti, J. Torsti, T. Urban, I. Usoskin, V. Vagelli, R. Vainio, M. Valencia-Otero, E. Valente, E. Valtonen, M. Vázquez Acosta, M. Vecchi, M. Velasco, J. P. Vialle, C. X. Wang, L. Wang, L. Q. Wang, N. H. Wang, Q. L. Wang, S. Wang, X. Wang, Yu Wang, Z. M. Wang, J. Wei, Z. L. Weng, H. Wu, Y. Wu, J. N. Xiao, R. Q. Xiong, X. Z. Xiong, W. Xu, Q. Yan, H. T. Yang, Y. Yang, I. I. Yashin, A. Yelland, H. Yi, Y. H. You, Y. M. Yu, Z. Q. Yu, M. Zannoni, C. Zhang, F. Zhang, F. Z. Zhang, J. Zhang, J. H. Zhang, Z. Zhang, F. Zhao, C. Zheng, Z. M. Zheng, H. L. Zhuang, V. Zhukov, A. Zichichi, and P. Zuccon
Published: 2023
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20. Temporal Structures in Electron Spectra and Charge Sign Effects in Galactic Cosmic Rays

Author: M. Aguilar, L. Ali Cavasonza, G. Ambrosi, L. Arruda, N. Attig, C. Bagwell, F. Barao, L. Barrin, A. Bartoloni, S. Başeğmez-du Pree, R. Battiston, M. Behlmann, N. Belyaev, J. Berdugo, B. Bertucci, V. Bindi, K. Bollweg, J. Bolster, B. Borgia, M. J. Boschini, M. Bourquin, E. F. Bueno, J. Burger, W. J. Burger, S. Burmeister, X. D. Cai, M. Capell, J. Casaus, G. Castellini, F. Cervelli, Y. H. Chang, G. M. Chen, G. R. Chen, H. S. Chen, Y. Chen, L. Cheng, H. Y. Chou, S. Chouridou, V. Choutko, C. H. Chung, C. Clark, G. Coignet, C. Consolandi, A. Contin, C. Corti, Z. Cui, K. Dadzie, A. Dass, C. Delgado, S. Della Torre, M. B. Demirköz, L. Derome, S. Di Falco, V. Di Felice, C. Díaz, F. Dimiccoli, P. von Doetinchem, F. Dong, F. Donnini, M. Duranti, A. Egorov, A. Eline, F. Faldi, J. Feng, E. Fiandrini, P. Fisher, V. Formato, C. Freeman, C. Gámez, R. J. García-López, C. Gargiulo, H. Gast, M. Gervasi, F. Giovacchini, D. M. Gómez-Coral, J. Gong, C. Goy, V. Grabski, D. Grandi, M. Graziani, A. N. Guracho, S. Haino, K. C. Han, R. K. Hashmani, Z. H. He, B. Heber, T. H. Hsieh, J. Y. Hu, M. Incagli, W. Y. Jang, Yi Jia, H. Jinchi, G. Karagöz, B. Khiali, G. N. Kim, Th. Kirn, O. Kounina, A. Kounine, V. Koutsenko, D. Krasnopevtsev, A. Kuhlman, A. Kulemzin, G. La Vacca, E. Laudi, G. Laurenti, G. LaVecchia, I. Lazzizzera, H. T. Lee, S. C. Lee, H. L. Li, J. Q. Li, M. Li, Q. Li, Q. Y. Li, S. Li, S. L. Li, J. H. Li, Z. H. Li, J. Liang, M. J. Liang, C. Light, C. H. Lin, T. Lippert, J. H. Liu, S. Q. Lu, Y. S. Lu, K. Luebelsmeyer, J. Z. Luo, Xi Luo, F. Machate, C. Mañá, J. Marín, J. Marquardt, T. Martin, G. Martínez, N. Masi, D. Maurin, T. Medvedeva, A. Menchaca-Rocha, Q. Meng, V. V. Mikhailov, M. Molero, P. Mott, L. Mussolin, J. Negrete, N. Nikonov, F. Nozzoli, J. Ocampo-Peleteiro, A. Oliva, M. Orcinha, M. Palermo, F. Palmonari, M. Paniccia, A. Pashnin, M. Pauluzzi, S. Pensotti, V. Plyaskin, M. Pohl, S. Poluianov, X. Qin, Z. Y. Qu, L. Quadrani, P. G. Rancoita, D. Rapin, A. Reina Conde, E. Robyn, S. Rosier-Lees, A. Rozhkov, D. Rozza, R. Sagdeev, S. Schael, A. Schultz von Dratzig, G. Schwering, E. S. Seo, B. S. Shan, T. Siedenburg, J. W. Song, X. J. Song, R. Sonnabend, L. Strigari, T. Su, Q. Sun, Z. T. Sun, M. Tacconi, X. W. Tang, Z. C. Tang, J. Tian, Samuel C. C. Ting, S. M. Ting, N. Tomassetti, J. Torsti, T. Urban, I. Usoskin, V. Vagelli, R. Vainio, M. Valencia-Otero, E. Valente, E. Valtonen, M. Vázquez Acosta, M. Vecchi, M. Velasco, J. P. Vialle, C. X. Wang, L. Wang, L. Q. Wang, N. H. Wang, Q. L. Wang, S. Wang, X. Wang, Yu Wang, Z. M. Wang, J. Wei, Z. L. Weng, H. Wu, R. Q. Xiong, W. Xu, Q. Yan, Y. Yang, I. I. Yashin, A. Yelland, H. Yi, Y. M. Yu, Z. Q. Yu, M. Zannoni, C. Zhang, F. Zhang, F. Z. Zhang, J. H. Zhang, Z. Zhang, F. Zhao, C. Zheng, Z. M. Zheng, H. L. Zhuang, V. Zhukov, A. Zichichi, and P. Zuccon
Published: 2023
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21. Sub-ns Access Sub-mW/GHz 32 Kb SRAM with 0.45 V Cross-Point-5T Cell and Built-in Y_ Line.

Author: C. Y. He, K. H. Tang, T. S. Chen, K. Y. Chang, C. H. Lin, K. Sato, Shyh-Jye Jou, P. H. Chen, H. M. Chen, B. D. Rong, and K. Itoh
Published: 2019
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22. Extreme Poleward Expanding Super Plasma Bubbles Over Asia-Pacific Region Triggered By Tonga Volcano Eruption During the Recovery-Phase of Geomagnetic Storm

Author: P. K. Rajesh, C. C. H. Lin, J.T. Lin, C. Y. Lin, J. Y. Liu, T. Matsuo, C. Y. Huang, M. Y. Chou, J. Yue, M. Nishioka, H. Jin, J.M. Choi, S.P. Chen, Marty Chou, and H. F. Tsai
Subjects: Space Sciences (General)
Abstract: The Tonga volcano eruption of 15 January 2022 unleashed a variety of atmospheric perturbations, coinciding with the recovery-phase of a geomagnetic storm. The ensuing thermospheric variations created rare display of extreme poleward-expanding conjugate plasma bubbles seen in the rate of total electron content index over 100–150°E, reaching ∼40°N geographic latitude. This is associated with fluctuations in FORMOSAT-7/COSMIC-2 (F7/C2) ion-density measurements and spread-F in ionograms. Preceding to this, an unusually strong pre-reversal enhancement (PRE) occurred in the global ionospheric specification (GIS) electron density profiles derived from F7/C2 observations. The GIS also revealed a decrease of equatorial ionization anomaly (EIA) crest density due to the storm impact. Reduced E-region conductivity by volcano-induced waves and enhanced F-region wind, further accelerated by reduced ion-drag over the EIA, apparently intensified the PRE. Accompanied with the strong PRE, volcano-induced seed perturbations triggered the super plasma bubble activity.
Published: 2022
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23. Properties of Daily Helium Fluxes

Author: M. Aguilar, L. Ali Cavasonza, G. Ambrosi, L. Arruda, N. Attig, F. Barao, L. Barrin, A. Bartoloni, S. Başeğmez-du Pree, R. Battiston, M. Behlmann, J. Berdugo, B. Bertucci, V. Bindi, K. Bollweg, B. Borgia, M. J. Boschini, M. Bourquin, E. F. Bueno, J. Burger, W. J. Burger, S. Burmeister, X. D. Cai, M. Capell, J. Casaus, G. Castellini, F. Cervelli, Y. H. Chang, G. M. Chen, G. R. Chen, H. S. Chen, Y. Chen, L. Cheng, H. Y. Chou, S. Chouridou, V. Choutko, C. H. Chung, C. Clark, G. Coignet, C. Consolandi, A. Contin, C. Corti, Z. Cui, K. Dadzie, A. Dass, C. Delgado, S. Della Torre, M. B. Demirköz, L. Derome, S. Di Falco, V. Di Felice, C. Díaz, F. Dimiccoli, P. von Doetinchem, F. Dong, F. Donnini, M. Duranti, A. Egorov, A. Eline, J. Feng, E. Fiandrini, P. Fisher, V. Formato, C. Freeman, C. Gámez, R. J. García-López, C. Gargiulo, H. Gast, M. Gervasi, F. Giovacchini, D. M. Gómez-Coral, J. Gong, C. Goy, V. Grabski, D. Grandi, M. Graziani, S. Haino, K. C. Han, R. K. Hashmani, Z. H. He, B. Heber, T. H. Hsieh, J. Y. Hu, M. Incagli, W. Y. Jang, Yi Jia, H. Jinchi, G. Karagöz, B. Khiali, G. N. Kim, Th. Kirn, M. Konyushikhin, O. Kounina, A. Kounine, V. Koutsenko, D. Krasnopevtsev, A. Kuhlman, A. Kulemzin, G. La Vacca, E. Laudi, G. Laurenti, I. Lazzizzera, H. T. Lee, S. C. Lee, H. L. Li, J. Q. Li, M. Li, Q. Li, Q. Y. Li, S. Li, S. L. Li, J. H. Li, Z. H. Li, J. Liang, M. J. Liang, C. Light, C. H. Lin, T. Lippert, J. H. Liu, S. Q. Lu, Y. S. Lu, K. Luebelsmeyer, J. Z. Luo, Xi Luo, F. Machate, C. Mañá, J. Marín, J. Marquardt, T. Martin, G. Martínez, N. Masi, D. Maurin, T. Medvedeva, A. Menchaca-Rocha, Q. Meng, V. V. Mikhailov, M. Molero, P. Mott, L. Mussolin, J. Negrete, N. Nikonov, F. Nozzoli, J. Ocampo-Peleteiro, A. Oliva, M. Orcinha, M. Palermo, F. Palmonari, M. Paniccia, A. Pashnin, M. Pauluzzi, S. Pensotti, V. Plyaskin, M. Pohl, S. Poluianov, X. Qin, Z. Y. Qu, L. Quadrani, P. G. Rancoita, D. Rapin, A. Reina Conde, E. Robyn, S. Rosier-Lees, A. Rozhkov, D. Rozza, R. Sagdeev, S. Schael, A. Schultz von Dratzig, G. Schwering, E. S. Seo, B. S. Shan, T. Siedenburg, J. W. Song, X. J. Song, R. Sonnabend, L. Strigari, T. Su, Q. Sun, Z. T. Sun, M. Tacconi, X. W. Tang, Z. C. Tang, J. Tian, Samuel C. C. Ting, S. M. Ting, N. Tomassetti, J. Torsti, T. Urban, I. Usoskin, V. Vagelli, R. Vainio, M. Valencia-Otero, E. Valente, E. Valtonen, M. Vázquez Acosta, M. Vecchi, M. Velasco, J. P. Vialle, C. X. Wang, L. Wang, L. Q. Wang, N. H. Wang, Q. L. Wang, S. Wang, X. Wang, Yu Wang, Z. M. Wang, J. Wei, Z. L. Weng, H. Wu, R. Q. Xiong, W. Xu, Q. Yan, Y. Yang, I. I. Yashin, H. Yi, Y. M. Yu, Z. Q. Yu, M. Zannoni, C. Zhang, F. Zhang, F. Z. Zhang, J. H. Zhang, Z. Zhang, F. Zhao, C. Zheng, Z. M. Zheng, H. L. Zhuang, V. Zhukov, A. Zichichi, and P. Zuccon
Published: 2022
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24. Rapid Conjugate Appearance of the Giant Ionospheric Lamb Wave Signatures in the Northern Hemisphere After Hunga-Tonga Volcano Eruptions

Author: Jia-Ting Lin, Panthalingal K Rajesh, Charles C H Lin, Min-Yang Chou, Jann-Yenq Liu, Jia Yue, Tung-Yuan Hsiao, Ho-Fang Tsai, Hoi-Man Chao, and Mu-Min Kung
Subjects: Geophysics
Abstract: The explosive eruption of the Hunga-Tonga volcano in the southwest Pacific at 0415UT on 15 January 2022 triggered gigantic atmospheric disturbances with surface air pressure waves propagating around the globe in Lamb mode. In space, concentric traveling ionosphere disturbances (CTIDs) are also observed as a manifestation of air pressure waves in New Zealand ∼0500UT and Australia ∼0630UT. As soon as the air pressure waves reached central Australia ∼0800UT, conjugate CTIDs appeared almost simultaneously in the northern hemispheres through interhemispheric coupling, much earlier than the arrival of the surface air pressure waves to Japan after 1100UT. Combining observations over Australia and Japan between 0800 and 1000UT, both direct and conjugate CTIDs show similar horizontal phase velocities of 320–390 m/s, matching with the dispersion relation of Lamb mode. The arrival of atmospheric Lamb wave to Japan later created in situ CTIDs showing the same Lamb mode characteristics as the earlier conjugate CTIDs.
Published: 2022
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25. Conjugate Effect of the 2011 Tohoku Reflected Tsunami-Driven Gravity Waves in the Ionosphere

Author: Min-Yang Chou, Jia Yue, Charles C. H. Lin, P. K. Rajesh, and N. M. Pedatella
Subjects: Space Sciences (General)
Abstract: This study presents the conjugate ionospheric disturbances triggered by the 2011 Tohoku-Oki reflected tsunami oceanic waves using the ground-based Global Navigation Satellite System (GNSS) total electron content (TEC) observations. We found that the equatorward and westward propagating nighttime medium-scale traveling ionospheric disturbances (MSTIDs) occurred over Japan and Australia simultaneously following the tsunami oceanic waves reflected by the Emperor Seamount Chain in the northern hemisphere. The atmospheric gravity waves driven by reflected tsunami oceanic waves are hypothesized to be the source to trigger the conjugate MSTIDs by transporting the polarization electric fields along the field line to the conjugate hemisphere. Moreover, only the southwestward propagating MSTIDs have this conjugate effect, which could be due to the wavefront orientation. The Perkins instability could also be involved in the interhemispheric coupling process. This study provides the first observational evidence that the reflected tsunami can induce conjugate ionospheric disturbances through electrodynamic forcing.
Published: 2022
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26. Periodicities in the Daily Proton Fluxes from 2011 to 2019 Measured by the Alpha Magnetic Spectrometer on the International Space Station from 1 to 100 GV

Author: M. Aguilar, L. Ali Cavasonza, G. Ambrosi, L. Arruda, N. Attig, F. Barao, L. Barrin, A. Bartoloni, S. Başeğmez-du Pree, R. Battiston, M. Behlmann, B. Beranek, J. Berdugo, B. Bertucci, V. Bindi, K. Bollweg, B. Borgia, M. J. Boschini, M. Bourquin, E. F. Bueno, J. Burger, W. J. Burger, S. Burmeister, X. D. Cai, M. Capell, J. Casaus, G. Castellini, F. Cervelli, Y. H. Chang, G. M. Chen, G. R. Chen, H. S. Chen, Y. Chen, L. Cheng, H. Y. Chou, S. Chouridou, V. Choutko, C. H. Chung, C. Clark, G. Coignet, C. Consolandi, A. Contin, C. Corti, Z. Cui, K. Dadzie, A. Dass, C. Delgado, S. Della Torre, M. B. Demirköz, L. Derome, S. Di Falco, V. Di Felice, C. Díaz, F. Dimiccoli, P. von Doetinchem, F. Dong, F. Donnini, M. Duranti, A. Egorov, A. Eline, J. Feng, E. Fiandrini, P. Fisher, V. Formato, C. Freeman, C. Gámez, R. J. García-López, C. Gargiulo, H. Gast, M. Gervasi, F. Giovacchini, D. M. Gómez-Coral, J. Gong, C. Goy, V. Grabski, D. Grandi, M. Graziani, S. Haino, K. C. Han, R. K. Hashmani, Z. H. He, B. Heber, T. H. Hsieh, J. Y. Hu, M. Incagli, W. Y. Jang, Yi Jia, H. Jinchi, G. Karagöz, B. Khiali, G. N. Kim, Th. Kirn, M. Konyushikhin, O. Kounina, A. Kounine, V. Koutsenko, D. Krasnopevtsev, A. Kuhlman, A. Kulemzin, G. La Vacca, E. Laudi, G. Laurenti, I. Lazzizzera, A. Lebedev, H. T. Lee, S. C. Lee, J. Q. Li, M. Li, Q. Li, S. Li, J. H. Li, Z. H. Li, J. Liang, C. Light, C. H. Lin, T. Lippert, J. H. Liu, Z. Liu, S. Q. Lu, Y. S. Lu, K. Luebelsmeyer, J. Z. Luo, Xi Luo, F. Machate, C. Mañá, J. Marín, J. Marquardt, T. Martin, G. Martínez, N. Masi, D. Maurin, T. Medvedeva, A. Menchaca-Rocha, Q. Meng, V. V. Mikhailov, M. Molero, P. Mott, L. Mussolin, J. Negrete, N. Nikonov, F. Nozzoli, A. Oliva, M. Orcinha, M. Palermo, F. Palmonari, M. Paniccia, A. Pashnin, M. Pauluzzi, S. Pensotti, H. D. Phan, V. Plyaskin, M. Pohl, S. Poluianov, X. Qin, Z. Y. Qu, L. Quadrani, P. G. Rancoita, D. Rapin, A. Reina Conde, E. Robyn, S. Rosier-Lees, A. Rozhkov, D. Rozza, R. Sagdeev, S. Schael, A. Schultz von Dratzig, G. Schwering, E. S. Seo, Z. Shakfa, B. S. Shan, T. Siedenburg, C. Solano, J. W. Song, X. J. Song, R. Sonnabend, L. Strigari, T. Su, Q. Sun, Z. T. Sun, M. Tacconi, X. W. Tang, Z. C. Tang, J. Tian, Samuel C. C. Ting, S. M. Ting, N. Tomassetti, J. Torsti, T. Urban, I. Usoskin, V. Vagelli, R. Vainio, M. Valencia-Otero, E. Valente, E. Valtonen, M. Vázquez Acosta, M. Vecchi, M. Velasco, J. P. Vialle, C. X. Wang, L. Wang, L. Q. Wang, N. H. Wang, Q. L. Wang, S. Wang, X. Wang, Yu Wang, Z. M. Wang, J. Wei, Z. L. Weng, H. Wu, R. Q. Xiong, W. Xu, Q. Yan, Y. Yang, I. I. Yashin, H. Yi, Y. M. Yu, Z. Q. Yu, M. Zannoni, C. Zhang, F. Zhang, F. Z. Zhang, J. H. Zhang, Z. Zhang, F. Zhao, C. Zheng, Z. M. Zheng, H. L. Zhuang, V. Zhukov, A. Zichichi, and P. Zuccon
Published: 2021
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27. Day-to-Day Variability of Ionosphere Electron Density During Solar Minimum Derived From FORMOSAT-7/COSMIC-2 Measurements

Author: Panthalingal Krishanunni Rajesh, Charles C. H. Lin, Jia-Ting Lin, Chi-Yen Lin, Jia Yue, Tomoko Matsuo, Shih-Ping Chen, and Chia-Hung Chen
Subjects: Space Sciences (General)
Abstract: This study examines the day-to-day variability of low-latitude ionosphere using global ionospheric specification (GIS) electron density profiles derived from FORMOSAT-7/COSMIC-2 radio occultation measurements during a deep solar minimum period of August 2019 to July 2020. The measurements reveal significant daily variations over dayside low latitudes, yielding about 10-20% standard deviation in equinoxes, 20-30% in solstices, reaching 40-50% in winter. The nighttime deviations could be 30-60%, being largest in solstices. Day-to-day variations are also observed in the longitudinal wave-4 structures. The period mostly remained geomagnetically quiet except for some moderate disturbances on a few days. Tidal decomposition of the GIS electron density shows that in-situ forced migrating diurnal (DW1) terdiurnal (TW3) oscillations and the background zonal mean yield only ~25% of the daily variations despite accounting for almost 75-90% of the observed electron density. Thus, forcing from lower atmosphere dominates the contribution (~75%) to the observed daily variations. Only about one third of this lower atmospheric forcing comes from the migrating semidiurnal SW2 and the usually investigated non-migrating diurnal eastward DE2, DE3, stationary planetary wave SPW3, SPW4, and semidiurnal eastward SE1, and SE2 components. The residual tides other than those mentioned above, including secondary waves through non-linear interactions and other planetary waves, thus significantly influence the day-to-day variations in electron density and modify the longitudinal wave structures.
Published: 2021
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28. Transformer management system for energy control of customer demand response and PV systems.

Author: T. T. Ku, Chao Shun Chen, C. H. Lin, and Cheng Ting Hsu
Published: 2017
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29. Properties of a New Group of Cosmic Nuclei: Results from the Alpha Magnetic Spectrometer on Sodium, Aluminum, and Nitrogen

Author: M. Aguilar, L. Ali Cavasonza, B. Alpat, G. Ambrosi, L. Arruda, N. Attig, F. Barao, L. Barrin, A. Bartoloni, S. Başeğmez-du Pree, R. Battiston, M. Behlmann, B. Beranek, J. Berdugo, B. Bertucci, V. Bindi, K. Bollweg, B. Borgia, M. J. Boschini, M. Bourquin, E. F. Bueno, J. Burger, W. J. Burger, S. Burmeister, X. D. Cai, M. Capell, J. Casaus, G. Castellini, F. Cervelli, Y. H. Chang, G. M. Chen, G. R. Chen, H. S. Chen, Y. Chen, L. Cheng, H. Y. Chou, S. Chouridou, V. Choutko, C. H. Chung, C. Clark, G. Coignet, C. Consolandi, A. Contin, C. Corti, Z. Cui, K. Dadzie, C. Delgado, S. Della Torre, M. B. Demirköz, L. Derome, S. Di Falco, V. Di Felice, C. Díaz, F. Dimiccoli, P. von Doetinchem, F. Dong, F. Donnini, M. Duranti, A. Egorov, A. Eline, J. Feng, E. Fiandrini, P. Fisher, V. Formato, C. Freeman, C. Gámez, R. J. García-López, C. Gargiulo, H. Gast, M. Gervasi, F. Giovacchini, D. M. Gómez-Coral, J. Gong, C. Goy, V. Grabski, D. Grandi, M. Graziani, S. Haino, K. C. Han, R. K. Hashmani, Z. H. He, B. Heber, T. H. Hsieh, J. Y. Hu, M. Incagli, W. Y. Jang, Yi Jia, H. Jinchi, B. Khiali, G. N. Kim, Th. Kirn, M. Konyushikhin, O. Kounina, A. Kounine, V. Koutsenko, D. Krasnopevtsev, A. Kuhlman, A. Kulemzin, G. La Vacca, E. Laudi, G. Laurenti, I. Lazzizzera, A. Lebedev, H. T. Lee, S. C. Lee, J. Q. Li, M. Li, Q. Li, S. Li, J. H. Li, Z. H. Li, J. Liang, C. Light, C. H. Lin, T. Lippert, J. H. Liu, Z. Liu, S. Q. Lu, Y. S. Lu, K. Luebelsmeyer, J. Z. Luo, Xi Luo, F. Machate, C. Mañá, J. Marín, J. Marquardt, T. Martin, G. Martínez, N. Masi, D. Maurin, T. Medvedeva, A. Menchaca-Rocha, Q. Meng, V. V. Mikhailov, M. Molero, P. Mott, L. Mussolin, J. Negrete, N. Nikonov, F. Nozzoli, A. Oliva, M. Orcinha, M. Palermo, F. Palmonari, M. Paniccia, A. Pashnin, M. Pauluzzi, S. Pensotti, H. D. Phan, V. Plyaskin, M. Pohl, S. Poluianov, X. Qin, Z. Y. Qu, L. Quadrani, P. G. Rancoita, D. Rapin, A. Reina Conde, E. Robyn, S. Rosier-Lees, A. Rozhkov, D. Rozza, R. Sagdeev, S. Schael, A. Schulz von Dratzig, G. Schwering, E. S. Seo, Z. Shakfa, B. S. Shan, T. Siedenburg, C. Solano, J. W. Song, X. J. Song, R. Sonnabend, L. Strigari, T. Su, Q. Sun, Z. T. Sun, M. Tacconi, X. W. Tang, Z. C. Tang, J. Tian, Samuel C. C. Ting, S. M. Ting, N. Tomassetti, J. Torsti, C. Tüysüz, T. Urban, I. Usoskin, V. Vagelli, R. Vainio, M. Valencia-Otero, E. Valente, E. Valtonen, M. Vázquez Acosta, M. Vecchi, M. Velasco, J. P. Vialle, C. X. Wang, L. Wang, L. Q. Wang, N. H. Wang, Q. L. Wang, S. Wang, X. Wang, Yu Wang, Z. M. Wang, J. Wei, Z. L. Weng, H. Wu, R. Q. Xiong, W. Xu, Q. Yan, Y. Yang, I. I. Yashin, H. Yi, Y. M. Yu, Z. Q. Yu, M. Zannoni, C. Zhang, F. Zhang, F. Z. Zhang, J. H. Zhang, Z. Zhang, F. Zhao, C. Zheng, Z. M. Zheng, H. L. Zhuang, V. Zhukov, A. Zichichi, and P. Zuccon
Published: 2021
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30. Critical Issues in Ionospheric Data Quality and Implications for Scientific Studies

Author: E. Araujo‐Pradere, E. C. Weatherhead, P. B. Dandenault, D. Bilitza, P. Wilkinson, C. Coker, R. Akmaev, G. Beig, D. Burešová, L. J. Paxton, M. Hernández‐Pajares, J.‐Y. Liu, C. H. Lin, J. B. Habarulema, and V. Paznukhov
Published: 2019
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31. Relapse patterns of two-jaw surgical correction in patients with skeletal Class III malocclusion and different vertical facial types

Author: J J-C, Kuo, C-H, Lin, and E W-C, Ko
Subjects: Cephalometry, Orthognathic Surgical Procedures, Vertical Dimension, Mandible, Malocclusion, Angle Class III, Otorhinolaryngology, Recurrence, Maxilla, Humans, Osteotomy, Le Fort, Surgery, Oral Surgery, Retrospective Studies, Follow-Up Studies
Abstract: The aim of this study was to evaluate postoperative relapse after the surgical correction of skeletal Class III deformities of various facial patterns as a guide to surgical planning. A retrospective cohort study of 90 consecutive patients with skeletal Class III malocclusion who underwent bimaxillary surgery was performed. The surgical outcomes and postoperative stability were compared. The primary predictor variable was vertical facial type, which was classified into three groups according to the Frankfort mandibular plane angle (FMA). The primary outcome of angular and linear measurements was obtained using serial cone beam computed tomography scans obtained at time points of preoperative, 1 week after surgery, and orthodontic debonding. No significant difference in skeletal relapse was observed in patients with the different vertical facial types. The mandible displayed a forward and upward relapse in all three groups postoperatively. The patients with a low FMA exhibited a more consistent mandibular relapse pattern than those with a normal or high FMA. These findings suggest that bimaxillary surgery is clinically stable for mandibular prognathism regardless of the vertical facial pattern. However, 1-1.5 mm of overcorrection in the mandible setback should be considered in patients with a low FMA, because of the greater facial depth and consistent forward and upward mandibular relapse pattern.
Published: 2022

32. Mitigation of voltage variation by REMS for distribution feeders.

Author: C. C. Yeh, Chao Shun Chen, T. T. Ku, C. H. Lin, Cheng Ting Hsu, and Hui-Jen Chuang
Published: 2016
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33. Properties of Heavy Secondary Fluorine Cosmic Rays: Results from the Alpha Magnetic Spectrometer

Author: M. Aguilar, L. Ali Cavasonza, M. S. Allen, B. Alpat, G. Ambrosi, L. Arruda, N. Attig, F. Barao, L. Barrin, A. Bartoloni, S. Başeğmez-du Pree, R. Battiston, M. Behlmann, B. Beranek, J. Berdugo, B. Bertucci, V. Bindi, K. Bollweg, B. Borgia, M. J. Boschini, M. Bourquin, E. F. Bueno, J. Burger, W. J. Burger, S. Burmeister, X. D. Cai, M. Capell, J. Casaus, G. Castellini, F. Cervelli, Y. H. Chang, G. M. Chen, G. R. Chen, H. S. Chen, Y. Chen, L. Cheng, H. Y. Chou, S. Chouridou, V. Choutko, C. H. Chung, C. Clark, G. Coignet, C. Consolandi, A. Contin, C. Corti, Z. Cui, K. Dadzie, C. Delgado, S. Della Torre, M. B. Demirköz, L. Derome, S. Di Falco, V. Di Felice, C. Díaz, F. Dimiccoli, P. von Doetinchem, F. Dong, F. Donnini, M. Duranti, A. Egorov, A. Eline, J. Feng, E. Fiandrini, P. Fisher, V. Formato, C. Freeman, Y. Galaktionov, C. Gámez, R. J. García-López, C. Gargiulo, H. Gast, M. Gervasi, F. Giovacchini, D. M. Gómez-Coral, J. Gong, C. Goy, V. Grabski, D. Grandi, M. Graziani, S. Haino, K. C. Han, R. K. Hashmani, Z. H. He, B. Heber, T. H. Hsieh, J. Y. Hu, M. Incagli, W. Y. Jang, Yi Jia, H. Jinchi, K. Kanishev, B. Khiali, G. N. Kim, Th. Kirn, M. Konyushikhin, O. Kounina, A. Kounine, V. Koutsenko, A. Kuhlman, A. Kulemzin, G. La Vacca, E. Laudi, G. Laurenti, I. Lazzizzera, A. Lebedev, H. T. Lee, S. C. Lee, J. Q. Li, M. Li, Q. Li, S. Li, J. H. Li, Z. H. Li, J. Liang, C. Light, C. H. Lin, T. Lippert, J. H. Liu, Z. Liu, S. Q. Lu, Y. S. Lu, K. Luebelsmeyer, J. Z. Luo, Xi Luo, S. S. Lyu, F. Machate, C. Mañá, J. Marín, J. Marquardt, T. Martin, G. Martínez, N. Masi, D. Maurin, A. Menchaca-Rocha, Q. Meng, V. V. Mikhailov, D. C. Mo, M. Molero, P. Mott, L. Mussolin, J. Negrete, N. Nikonov, F. Nozzoli, A. Oliva, M. Orcinha, M. Palermo, F. Palmonari, M. Paniccia, A. Pashnin, M. Pauluzzi, S. Pensotti, H. D. Phan, R. Piandani, V. Plyaskin, S. Poluianov, X. Qin, Z. Y. Qu, L. Quadrani, P. G. Rancoita, D. Rapin, A. Reina Conde, E. Robyn, S. Rosier-Lees, A. Rozhkov, D. Rozza, R. Sagdeev, S. Schael, A. Schulz von Dratzig, G. Schwering, E. S. Seo, Z. Shakfa, B. S. Shan, T. Siedenburg, C. Solano, J. W. Song, X. J. Song, R. Sonnabend, L. Strigari, T. Su, Q. Sun, Z. T. Sun, M. Tacconi, X. W. Tang, Z. C. Tang, J. Tian, Samuel C. C. Ting, S. M. Ting, N. Tomassetti, J. Torsti, C. Tüysüz, T. Urban, I. Usoskin, V. Vagelli, R. Vainio, M. Valencia-Otero, E. Valente, E. Valtonen, M. Vázquez Acosta, M. Vecchi, M. Velasco, J. P. Vialle, C. X. Wang, L. Wang, L. Q. Wang, N. H. Wang, Q. L. Wang, S. Wang, X. Wang, Yu Wang, Z. M. Wang, J. Wei, Z. L. Weng, H. Wu, R. Q. Xiong, W. Xu, Q. Yan, Y. Yang, I. I. Yashin, H. Yi, Y. M. Yu, Z. Q. Yu, M. Zannoni, C. Zhang, F. Zhang, F. Z. Zhang, J. H. Zhang, Z. Zhang, F. Zhao, C. Zheng, Z. M. Zheng, H. L. Zhuang, V. Zhukov, A. Zichichi, and P. Zuccon
Published: 2021
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34. Properties of Iron Primary Cosmic Rays: Results from the Alpha Magnetic Spectrometer

Author: M. Aguilar, L. Ali Cavasonza, M. S. Allen, B. Alpat, G. Ambrosi, L. Arruda, N. Attig, F. Barao, L. Barrin, A. Bartoloni, S. Başeğmez-du Pree, R. Battiston, M. Behlmann, B. Beischer, J. Berdugo, B. Bertucci, V. Bindi, W. de Boer, K. Bollweg, B. Borgia, M. J. Boschini, M. Bourquin, E. F. Bueno, J. Burger, W. J. Burger, S. Burmeister, X. D. Cai, M. Capell, J. Casaus, G. Castellini, F. Cervelli, Y. H. Chang, G. M. Chen, G. R. Chen, H. S. Chen, Y. Chen, L. Cheng, H. Y. Chou, S. Chouridou, V. Choutko, C. H. Chung, C. Clark, G. Coignet, C. Consolandi, A. Contin, C. Corti, Z. Cui, K. Dadzie, C. Delgado, S. Della Torre, M. B. Demirköz, L. Derome, S. Di Falco, V. Di Felice, C. Díaz, F. Dimiccoli, P. von Doetinchem, F. Dong, F. Donnini, M. Duranti, A. Egorov, A. Eline, J. Feng, E. Fiandrini, P. Fisher, V. Formato, C. Freeman, Y. Galaktionov, C. Gámez, R. J. García-López, C. Gargiulo, H. Gast, M. Gervasi, F. Giovacchini, D. M. Gómez-Coral, J. Gong, C. Goy, V. Grabski, D. Grandi, M. Graziani, S. Haino, K. C. Han, R. K. Hashmani, Z. H. He, B. Heber, T. H. Hsieh, J. Y. Hu, M. Incagli, W. Y. Jang, Yi Jia, H. Jinchi, K. Kanishev, B. Khiali, G. N. Kim, Th. Kirn, M. Konyushikhin, O. Kounina, A. Kounine, V. Koutsenko, A. Kuhlman, A. Kulemzin, G. La Vacca, E. Laudi, G. Laurenti, I. Lazzizzera, A. Lebedev, H. T. Lee, S. C. Lee, J. Q. Li, M. Li, Q. Li, S. Li, J. H. Li, Z. H. Li, J. Liang, C. Light, C. H. Lin, T. Lippert, J. H. Liu, Z. Liu, S. Q. Lu, Y. S. Lu, K. Luebelsmeyer, J. Z. Luo, Xi Luo, S. S. Lyu, F. Machate, C. Mañá, J. Marín, J. Marquardt, T. Martin, G. Martínez, N. Masi, D. Maurin, A. Menchaca-Rocha, Q. Meng, V. V. Mikhailov, D. C. Mo, M. Molero, P. Mott, L. Mussolin, J. Negrete, N. Nikonov, F. Nozzoli, A. Oliva, M. Orcinha, M. Palermo, F. Palmonari, M. Paniccia, A. Pashnin, M. Pauluzzi, S. Pensotti, H. D. Phan, R. Piandani, V. Plyaskin, S. Poluianov, X. Qin, Z. Y. Qu, L. Quadrani, P. G. Rancoita, D. Rapin, A. Reina Conde, E. Robyn, S. Rosier-Lees, A. Rozhkov, D. Rozza, R. Sagdeev, S. Schael, A. Schulz von Dratzig, G. Schwering, E. S. Seo, Z. Shakfa, B. S. Shan, T. Siedenburg, C. Solano, J. W. Song, X. J. Song, R. Sonnabend, L. Strigari, T. Su, Q. Sun, Z. T. Sun, M. Tacconi, X. W. Tang, Z. C. Tang, J. Tian, Samuel C. C. Ting, S. M. Ting, N. Tomassetti, J. Torsti, C. Tüysüz, T. Urban, I. Usoskin, V. Vagelli, R. Vainio, M. Valencia-Otero, E. Valente, E. Valtonen, M. Vázquez Acosta, M. Vecchi, M. Velasco, J. P. Vialle, C. X. Wang, L. Wang, L. Q. Wang, N. H. Wang, Q. L. Wang, S. Wang, X. Wang, Yu Wang, Z. M. Wang, J. Wei, Z. L. Weng, H. Wu, R. Q. Xiong, W. Xu, Q. Yan, Y. Yang, I. I. Yashin, H. Yi, Y. M. Yu, Z. Q. Yu, M. Zannoni, C. Zhang, F. Zhang, F. Z. Zhang, J. H. Zhang, Z. Zhang, F. Zhao, C. Zheng, Z. M. Zheng, H. L. Zhuang, V. Zhukov, A. Zichichi, N. Zimmermann, and P. Zuccon
Published: 2021
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35. Observation and Simulation of the Development of Equatorial Plasma Bubbles: Post‐Sunset Rise or Upwelling Growth?

Author: Min‐Yang Chou, N. M. Pedatella, Qian Wu, J. D. Huba, Charles C. H. Lin, W. S. Schreiner, J. J. Braun, R. W. Eastes, and Jia Yue
Published: 2020
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36. The bifurcation lemma for strong properties in the inverse eigenvalue problem of a graph

Author: Shaun M. Fallat, H. Tracy Hall, Jephian C.-H. Lin, and Bryan L. Shader
Subjects: Numerical Analysis, Algebra and Number Theory, Discrete Mathematics and Combinatorics, Geometry and Topology
Published: 2022

37. Properties of Neon, Magnesium, and Silicon Primary Cosmic Rays Results from the Alpha Magnetic Spectrometer

Author: M. Aguilar, L. Ali Cavasonza, G. Ambrosi, L. Arruda, N. Attig, F. Barao, L. Barrin, A. Bartoloni, S. Başeğmez-du Pree, R. Battiston, U. Becker, M. Behlmann, B. Beischer, J. Berdugo, B. Bertucci, V. Bindi, W. de Boer, K. Bollweg, B. Borgia, M. J. Boschini, M. Bourquin, E. F. Bueno, J. Burger, W. J. Burger, S. Burmeister, X. D. Cai, M. Capell, J. Casaus, G. Castellini, F. Cervelli, Y. H. Chang, G. M. Chen, H. S. Chen, Y. Chen, L. Cheng, H. Y. Chou, S. Chouridou, V. Choutko, C. H. Chung, C. Clark, G. Coignet, C. Consolandi, A. Contin, C. Corti, Z. Cui, K. Dadzie, Y. M. Dai, C. Delgado, S. Della Torre, M. B. Demirköz, L. Derome, S. Di Falco, V. Di Felice, C. Díaz, F. Dimiccoli, P. von Doetinchem, F. Dong, F. Donnini, M. Duranti, A. Egorov, A. Eline, J. Feng, E. Fiandrini, P. Fisher, V. Formato, C. Freeman, Y. Galaktionov, C. Gámez, R. J. García-López, C. Gargiulo, H. Gast, I. Gebauer, M. Gervasi, F. Giovacchini, D. M. Gómez-Coral, J. Gong, C. Goy, V. Grabski, D. Grandi, M. Graziani, K. H. Guo, S. Haino, K. C. Han, R. K. Hashmani, Z. H. He, B. Heber, T. H. Hsieh, J. Y. Hu, Z. C. Huang, M. Incagli, W. Y. Jang, Yi Jia, H. Jinchi, K. Kanishev, B. Khiali, G. N. Kim, Th. Kirn, M. Konyushikhin, O. Kounina, A. Kounine, V. Koutsenko, A. Kuhlman, A. Kulemzin, G. La Vacca, E. Laudi, G. Laurenti, I. Lazzizzera, A. Lebedev, H. T. Lee, S. C. Lee, J. Q. Li, M. Li, Q. Li, S. Li, T. X. Li, Z. H. Li, C. Light, C. H. Lin, T. Lippert, Z. Liu, S. Q. Lu, Y. S. Lu, K. Luebelsmeyer, J. Z. Luo, S. S. Lyu, F. Machate, C. Mañá, J. Marín, J. Marquardt, T. Martin, G. Martínez, N. Masi, D. Maurin, A. Menchaca-Rocha, Q. Meng, D. C. Mo, M. Molero, P. Mott, L. Mussolin, J. Q. Ni, N. Nikonov, F. Nozzoli, A. Oliva, M. Orcinha, M. Palermo, F. Palmonari, M. Paniccia, A. Pashnin, M. Pauluzzi, S. Pensotti, H. D. Phan, R. Piandani, V. Plyaskin, S. Poluianov, X. M. Qi, X. Qin, Z. Y. Qu, L. Quadrani, P. G. Rancoita, D. Rapin, A. Reina Conde, S. Rosier-Lees, A. Rozhkov, D. Rozza, R. Sagdeev, S. Schael, S. M. Schmidt, A. Schulz von Dratzig, G. Schwering, E. S. Seo, B. S. Shan, J. Y. Shi, T. Siedenburg, C. Solano, R. Sonnabend, J. W. Song, Q. Sun, Z. T. Sun, M. Tacconi, X. W. Tang, Z. C. Tang, J. Tian, Samuel C. C. Ting, S. M. Ting, N. Tomassetti, J. Torsti, C. Tüysüz, T. Urban, I. Usoskin, V. Vagelli, R. Vainio, E. Valente, E. Valtonen, M. Vázquez Acosta, M. Vecchi, M. Velasco, J. P. Vialle, C. Wallmann, L. Q. Wang, N. H. Wang, Q. L. Wang, S. Wang, X. Wang, Z. X. Wang, J. Wei, Z. L. Weng, H. Wu, R. Q. Xiong, W. Xu, Q. Yan, Y. Yang, H. Yi, Y. J. Yu, Z. Q. Yu, M. Zannoni, C. Zhang, F. Zhang, F. Z. Zhang, J. H. Zhang, Z. Zhang, F. Zhao, Z. M. Zheng, H. L. Zhuang, V. Zhukov, A. Zichichi, N. Zimmermann, and P. Zuccon
Published: 2020
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38. Study of sub-5 nm RRAM, tunneling selector and selector less device.

Author: Kai-Shin Li, Ming-Taou Lee, Min-Cheng Chen, Cho-Lun Hsu, J. M. Lu, C. H. Lin, C. C. Chen, B. W. Wu, Y. F. Hou, C. Yi. Lin, Y. J. Chen, T. Y. Lai, M. Y. Li, I. Yang, C. S. Wu, Fu-Liang Yang, and W. K. Yeh
Published: 2015
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39. Numerical Modeling of the Concentric Gravity Wave Seeding of Low‐Latitude Nighttime Medium‐Scale Traveling Ionospheric Disturbances

Author: Min‐Yang Chou, Charles C. H. Lin, Joseph D. Huba, Chuan‐Ping Lien, Chia‐Hung Chen, Jia Yue, Loren C. Chang, and P. K. Rajesh
Published: 2018
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40. Incremental FIB-DIC Ring-Core Methods for the Residual Stress Measurement of Bilayer Thin Films

Author: N.M. Dang, W.-Y. Ku, Z.-Y. Wang, C.-H. Lin, T.Y.-F. Chen, and M.-T. Lin
Subjects: Mechanics of Materials, Mechanical Engineering, Aerospace Engineering
Published: 2022

41. Lung Microbiota and Neutrophilic Inflammation Associated With Clinical Outcomes in Bronchiectasis and Chronic Obstructive Pulmonary Disease Overlap

Author: Y.-F. Chen, H.-H. Hou, N. Chien, K.-Z. Lu, S.-L. Cheng, J.-Y. Chien, C.-H. Lin, Y.-C. Liao, C.-Y. Chen, H.-C. Wang, P.-R. Hsueh, and C.-J. Yu
Published: 2023

42. Detector requirements and simulation results for the EIC exclusive, diffractive and tagging physics program using the ECCE detector concept

Author: A. Bylinkin, C.T. Dean, S. Fegan, D. Gangadharan, K. Gates, S.J.D. Kay, I. Korover, W.B. Li, X. Li, R. Montgomery, D. Nguyen, G. Penman, J.R. Pybus, N. Santiesteban, S. Shimizu, R. Trotta, A. Usman, M.D. Baker, J. Frantz, D.I. Glazier, D.W. Higinbotham, T. Horn, J. Huang, G.M. Huber, R. Reed, J. Roche, A. Schmidt, P. Steinberg, J. Stevens, Y. Goto, C. Munoz Camacho, M. Murray, Z. Papandreou, W. Zha, J.K. Adkins, Y. Akiba, A. Albataineh, M. Amaryan, I.C. Arsene, C. Ayerbe Gayoso, J. Bae, X. Bai, M. Bashkanov, R. Bellwied, F. Benmokhtar, V. Berdnikov, J.C. Bernauer, F. Bock, W. Boeglin, M. Borysova, E. Brash, P. Brindza, W.J. Briscoe, M. Brooks, S. Bueltmann, M.H.S. Bukhari, R. Capobianco, W.-C. Chang, Y. Cheon, K. Chen, K.-F. Chen, K.-Y. Cheng, M. Chiu, T. Chujo, Z. Citron, E. Cline, E. Cohen, T. Cormier, Y. Corrales Morales, C. Cotton, J. Crafts, C. Crawford, S. Creekmore, C. Cuevas, J. Cunningham, G. David, M. Demarteau, S. Diehl, N. Doshita, R. Dupré, J.M. Durham, R. Dzhygadlo, R. Ehlers, L. El Fassi, A. Emmert, R. Ent, C. Fanelli, R. Fatemi, M. Finger, M. Friedman, I. Friscic, S. Gardner, F. Geurts, R. Gilman, E. Glimos, N. Grau, S.V. Greene, A.Q. Guo, L. Guo, S.K. Ha, J. Haggerty, T. Hayward, X. He, O. Hen, M. Hoballah, A. Hoghmrtsyan, P.-h.J. Hsu, A. Hutson, K.Y. Hwang, C.E. Hyde, M. Inaba, T. Iwata, H.S. Jo, K. Joo, N. Kalantarians, G. Kalicy, K. Kawade, A. Kim, B. Kim, C. Kim, M. Kim, Y. Kim, E. Kistenev, V. Klimenko, S.H. Ko, W. Korsch, G. Krintiras, S. Kuhn, C.-M. Kuo, T. Kutz, J. Lajoie, D. Lawrence, S. Lebedev, H. Lee, J.S.H. Lee, S.W. Lee, Y.-J. Lee, W. Li, Y.T. Liang, S. Lim, C.-h. Lin, D.X. Lin, K. Liu, M.X. Liu, K. Livingston, N. Liyanage, W.J. Llope, C. Loizides, E. Long, R.-S. Lu, Z. Lu, W. Lynch, S. Mantry, D. Marchand, M. Marcisovsky, C. Markert, P. Markowitz, H. Marukyan, P. McGaughey, M. Mihovilovic, R.G. Milner, A. Milov, Y. Miyachi, A. Mkrtchyan, P. Monaghan, D. Morrison, A. Movsisyan, H. Mkrtchyan, K. Nagai, J. Nagle, I. Nakagawa, C. Nattrass, S. Niccolai, R. Nouicer, G. Nukazuka, M. Nycz, V.A. Okorokov, S. Orešić, J.D. Osborn, C. O’Shaughnessy, S. Paganis, S.F. Pate, M. Patel, C. Paus, M.G. Perdekamp, D.V. Perepelitsa, H. Periera da Costa, K. Peters, W. Phelps, E. Piasetzky, C. Pinkenburg, I. Prochazka, T. Protzman, M.L. Purschke, J. Putschke, R. Rajput-Ghoshal, J. Rasson, B. Raue, K.F. Read, K. Røed, J. Reinhold, E.L. Renner, J. Richards, C. Riedl, T. Rinn, G.M. Roland, G. Ron, M. Rosati, C. Royon, J. Ryu, S. Salur, R. Santos, M. Sarsour, J. Schambach, N. Schmidt, C. Schwarz, J. Schwiening, R. Seidl, A. Sickles, P. Simmerling, S. Sirca, D. Sharma, Z. Shi, T.-A. Shibata, C.-W. Shih, U. Shrestha, K. Slifer, K. Smith, D. Sokhan, R. Soltz, W. Sondheim, J. Song, I.I. Strakovsky, P. Stepanov, J. Strube, P. Sun, X. Sun, K. Suresh, V. Tadevosyan, W.-C. Tang, S. Tapia Araya, S. Tarafdar, L. Teodorescu, D. Thomas, A. Timmins, L. Tomasek, N. Trotta, T.S. Tveter, E. Umaka, H.W. van Hecke, C. Van Hulse, J. Velkovska, E. Voutier, P.K. Wang, Q. Wang, Y. Wang, D.P. Watts, N. Wickramaarachchi, L. Weinstein, M. Williams, C.-P. Wong, L. Wood, M.H. Wood, C. Woody, B. Wyslouch, Z. Xiao, Y. Yamazaki, Y. Yang, Z. Ye, H.D. Yoo, M. Yurov, N. Zachariou, W.A. Zajc, J.-L. Zhang, J.-X. Zhang, Y. Zhang, Y.-X. Zhao, X. Zheng, P. Zhuang, HEP, INSPIRE, Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay
Subjects: Nuclear and High Energy Physics, Physics - Instrumentation and Detectors, detector: performance, [PHYS.NEXP] Physics [physics]/Nuclear Experiment [nucl-ex], nucleon: structure, diffraction, FOS: Physical sciences, tagging, [PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex], ion: beam, Diffractive, exclusive, EIC, Tagging, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Nuclear Experiment (nucl-ex), electron–ion collider, Instrumentation, Nuclear Experiment, detector: design, quark gluon, nucleus, Electron Ion Collider, Instrumentation and Detectors (physics.ins-det), experimental equipment, [PHYS.PHYS.PHYS-INS-DET] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], diffractive, Exclusive, vertex: primary, ECCE, technology: proposed
Abstract: The version of this article on this repository is an arXiv preprint (arXiv:2208.14575v2 [physics.ins-det] Mon, 6 Mar 2023 19:46:42 UTC (39,794 KB)) submitted to Elsevier and is not the final, peer reviewed, corrected article. It is made available under a Creative Commons (CC BY 4.0) Attribution License. This article presents a collection of simulation studies using the ECCE detector concept in the context of the EIC's exclusive, diffractive, and tagging physics program, which aims to further explore the rich quark–gluon structure of nucleons and nuclei. To successfully execute the program, ECCE proposed to utilize the detector system close to the beamline to ensure exclusivity and tag ion beam/fragments for a particular reaction of interest. Preliminary studies confirm the proposed technology and design satisfy the requirements. The projected physics impact results are based on the projected detector performance from the simulation at 10 or 100 fb−1 of integrated luminosity. Additionally, insights related to a potential second EIC detector are documented, which could serve as a guidepost for future development. Office of Nuclear Physics in the Office of Science in the Department of Energy, the National Science Foundation, USA, the Los Alamos National Laboratory Directed Research and Development (LDRD), USA 20200022DR, the Natural Sciences and Engineering Research Council of Canada (NSERC), and the UK Research and Innovation Science and Technology Facilities Council; This research used resources from the Compute and Data Environment for Science (CADES) at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725; Brookhaven National Lab and the Thomas Jefferson National Accelerator Facility which are operated under contracts DE-SC0012704 and DE-AC05-06OR23177 respectively.
Published: 2023

43. NTUH-II robot arm with dynamic torque gain adjustment method for frozen shoulder rehabilitation.

Author: C.-H. Lin, Wei-Ming Lien, Wei-Wen Wang, S.-H. Chen, C.-H. Lo, Sheng-Yen Lin, Li-Chen Fu, and Jin-Shin Lai
Published: 2014
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44. Analysis of high Reynolds free surface flows

Author: D L Young, Marvin C H Lin, and C C Tsai
Subjects: Applied Mathematics, Mechanical Engineering, Condensed Matter Physics
Abstract: In this paper, we will combine an upwind radial basis function-finite element with direct velocity–pressure formulation to study the two-dimensional Navier-Stokes equations with free surface flows. We will examine this formulation in an improved mixed-order finite element and localized radial basis function method. A particle tracking method and the arbitrary Lagrangian-Eulerian scheme will then be applied to simulate the two-dimensional high Reynolds free surface flows. An upwind improved finite element formulation based on a localized radial basis function differential quadrature (LRBFDQ) method is used to deal with high Reynolds number convection dominated flows. This study successfully obtained very high Reynolds number free surface flows, up to Re = 500 000. Finally, we will demonstrate and discuss the capability and feasibility of the proposed model by simulating two complex free surface flow problems: (1) a highly nonlinear free oscillation flow and (2) a large amplitude sloshing problem. Using even very coarse grids in all computing scenarios, we have achieved good results in accuracy and efficiency.
Published: 2022

45. ECCE sensitivity studies for single hadron transverse single spin asymmetry measurements

Author: R. Seidl, A. Vladimirov, D. Pitonyak, A. Prokudin, J.K. Adkins, Y. Akiba, A. Albataineh, M. Amaryan, I.C. Arsene, C. Ayerbe Gayoso, J. Bae, X. Bai, M.D. Baker, M. Bashkanov, R. Bellwied, F. Benmokhtar, V. Berdnikov, J.C. Bernauer, F. Bock, W. Boeglin, M. Borysova, E. Brash, P. Brindza, W.J. Briscoe, M. Brooks, S. Bueltmann, M.H.S. Bukhari, A. Bylinkin, R. Capobianco, W.-C. Chang, Y. Cheon, K. Chen, K.-F. Chen, K.-Y. Cheng, M. Chiu, T. Chujo, Z. Citron, E. Cline, E. Cohen, T. Cormier, Y. Corrales Morales, C. Cotton, J. Crafts, C. Crawford, S. Creekmore, C. Cuevas, J. Cunningham, G. David, C.T. Dean, M. Demarteau, S. Diehl, N. Doshita, R. Dupré, J.M. Durham, R. Dzhygadlo, R. Ehlers, L. El Fassi, A. Emmert, R. Ent, C. Fanelli, R. Fatemi, S. Fegan, M. Finger, J. Frantz, M. Friedman, I. Friscic, D. Gangadharan, S. Gardner, K. Gates, F. Geurts, R. Gilman, D. Glazier, E. Glimos, Y. Goto, N. Grau, S.V. Greene, A.Q. Guo, L. Guo, S.K. Ha, J. Haggerty, T. Hayward, X. He, O. Hen, D.W. Higinbotham, M. Hoballah, T. Horn, A. Hoghmrtsyan, P.-h.J. Hsu, J. Huang, G. Huber, A. Hutson, K.Y. Hwang, C.E. Hyde, M. Inaba, T. Iwata, H.S. Jo, K. Joo, N. Kalantarians, G. Kalicy, K. Kawade, S.J.D. Kay, A. Kim, B. Kim, C. Kim, M. Kim, Y. Kim, E. Kistenev, V. Klimenko, S.H. Ko, I. Korover, W. Korsch, G. Krintiras, S. Kuhn, C.-M. Kuo, T. Kutz, J. Lajoie, D. Lawrence, S. Lebedev, H. Lee, J.S.H. Lee, S.W. Lee, Y.-J. Lee, W. Li, W.B. Li, X. Li, Y.T. Liang, S. Lim, C.-H. Lin, D.X. Lin, K. Liu, M.X. Liu, K. Livingston, N. Liyanage, W.J. Llope, C. Loizides, E. Long, R.-S. Lu, Z. Lu, W. Lynch, S. Mantry, D. Marchand, M. Marcisovsky, C. Markert, P. Markowitz, H. Marukyan, P. McGaughey, M. Mihovilovic, R.G. Milner, A. Milov, Y. Miyachi, A. Mkrtchyan, P. Monaghan, R. Montgomery, D. Morrison, A. Movsisyan, H. Mkrtchyan, C. Munoz Camacho, M. Murray, K. Nagai, J. Nagle, I. Nakagawa, C. Nattrass, D. Nguyen, S. Niccolai, R. Nouicer, G. Nukazuka, M. Nycz, V.A. Okorokov, S. Orešić, J.D. Osborn, C. O’Shaughnessy, S. Paganis, Z. Papandreou, S.F. Pate, M. Patel, C. Paus, G. Penman, M.G. Perdekamp, D.V. Perepelitsa, H. Periera da Costa, K. Peters, W. Phelps, E. Piasetzky, C. Pinkenburg, I. Prochazka, T. Protzman, M.L. Purschke, J. Putschke, J.R. Pybus, R. Rajput-Ghoshal, J. Rasson, B. Raue, K.F. Read, K. Røed, R. Reed, J. Reinhold, E.L. Renner, J. Richards, C. Riedl, T. Rinn, J. Roche, G.M. Roland, G. Ron, M. Rosati, C. Royon, J. Ryu, S. Salur, N. Santiesteban, R. Santos, M. Sarsour, J. Schambach, A. Schmidt, N. Schmidt, C. Schwarz, J. Schwiening, A. Sickles, P. Simmerling, S. Sirca, D. Sharma, Z. Shi, T.-A. Shibata, C.-W. Shih, S. Shimizu, U. Shrestha, K. Slifer, K. Smith, D. Sokhan, R. Soltz, W. Sondheim, J. Song, I.I. Strakovsky, P. Steinberg, P. Stepanov, J. Stevens, J. Strube, P. Sun, X. Sun, K. Suresh, V. Tadevosyan, W.-C. Tang, S. Tapia Araya, S. Tarafdar, L. Teodorescu, D. Thomas, A. Timmins, L. Tomasek, N. Trotta, R. Trotta, T.S. Tveter, E. Umaka, A. Usman, H.W. van Hecke, C. Van Hulse, J. Velkovska, E. Voutier, P.K. Wang, Q. Wang, Y. Wang, D.P. Watts, N. Wickramaarachchi, L. Weinstein, M. Williams, C.-P. Wong, L. Wood, M.H. Wood, C. Woody, B. Wyslouch, Z. Xiao, Y. Yamazaki, Y. Yang, Z. Ye, H.D. Yoo, M. Yurov, N. Zachariou, W.A. Zajc, W. Zha, J.-L. Zhang, J.-X. Zhang, Y. Zhang, Y.-X. Zhao, X. Zheng, P. Zhuang, Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay
Subjects: transverse spin dependent distribution and fragmentation functions, Nuclear and High Energy Physics, FOS: Physical sciences, lepton: scattering, transverse momentum dependence, hadron: transverse momentum, fragmentation function, x-dependence, High Energy Physics - Experiment, Sivers function, semi-inclusive DIS, High Energy Physics - Experiment (hep-ex), [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], parton, Collins, Instrumentation, transversity, spin: transverse, flavor, deep inelastic scattering: semi-inclusive reaction, positron p: deep inelastic scattering, nucleon: spin: transverse, sensitivity, Transverse spin dependent distribution and fragmentation functions, error: statistical, kinematics, ECCE detector feasibility studies, charge: tensor, numerical calculations: Monte Carlo, Semi-inclusive DIS, spin: asymmetry
Abstract: We performed feasibility studies for various single transverse spin measurements that are related to the Sivers effect, transversity and the tensor charge, and the Collins fragmentation function. The processes studied include semi-inclusive deep inelastic scattering (SIDIS) where single hadrons (pions and kaons) were detected in addition to the scattered DIS lepton. The data were obtained in {\sc pythia}6 and {\sc geant}4 simulated e+p collisions at 18 GeV on 275 GeV, 18 on 100, 10 on 100, and 5 on 41 that use the ECCE detector configuration. Typical DIS kinematics were selected, most notably $Q^2 > 1 $ GeV$^2$, and cover the $x$ range from $10^{-4}$ to $1$. The single spin asymmetries were extracted as a function of $x$ and $Q^2$, as well as the semi-inclusive variables $z$, and $P_T$. They are obtained in azimuthal moments in combinations of the azimuthal angles of the hadron transverse momentum and transverse spin of the nucleon relative to the lepton scattering plane. The initially unpolarized MonteCarlo was re-weighted in the true kinematic variables, hadron types and parton flavors based on global fits of fixed target SIDIS experiments and $e^+e^-$ annihilation data. The expected statistical precision of such measurements is extrapolated to 10 fb$^{-1}$ and potential systematic uncertainties are approximated given the deviations between true and reconstructed yields. The impact on the knowledge of the Sivers functions, transversity and tensor charges, and the Collins function has then been evaluated in the same phenomenological extractions as in the Yellow Report. The impact is found to be comparable to that obtained with the parameterized Yellow Report detector and shows that the ECCE detector configuration can fulfill the physics goals on these quantities., 22 pages, 22 figures, to be submitted to joint ECCE proposal NIM-A volume
Published: 2023

46. Properties of Cosmic Helium Isotopes Measured by the Alpha Magnetic Spectrometer

Author: M. Aguilar, L. Ali Cavasonza, G. Ambrosi, L. Arruda, N. Attig, A. Bachlechner, F. Barao, A. Barrau, L. Barrin, A. Bartoloni, S. Başeğmez-du Pree, R. Battiston, U. Becker, M. Behlmann, B. Beischer, J. Berdugo, B. Bertucci, V. Bindi, W. de Boer, K. Bollweg, B. Borgia, M. J. Boschini, M. Bourquin, E. F. Bueno, J. Burger, W. J. Burger, X. D. Cai, M. Capell, S. Caroff, J. Casaus, G. Castellini, F. Cervelli, Y. H. Chang, G. M. Chen, H. S. Chen, Y. Chen, L. Cheng, H. Y. Chou, V. Choutko, C. H. Chung, C. Clark, G. Coignet, C. Consolandi, A. Contin, C. Corti, Z. Cui, K. Dadzie, Y. M. Dai, A. Datta, C. Delgado, S. Della Torre, M. B. Demirköz, L. Derome, S. Di Falco, V. Di Felice, C. Díaz, F. Dimiccoli, P. von Doetinchem, F. Dong, F. Donnini, M. Duranti, A. Egorov, A. Eline, J. Feng, E. Fiandrini, P. Fisher, V. Formato, Y. Galaktionov, C. Gámez, R. J. García-López, C. Gargiulo, H. Gast, I. Gebauer, M. Gervasi, F. Giovacchini, D. M. Gómez-Coral, J. Gong, C. Goy, V. Grabski, D. Grandi, M. Graziani, K. H. Guo, S. Haino, K. C. Han, Z. H. He, T. H. Hsieh, H. Huang, Z. C. Huang, M. Incagli, W. Y. Jang, Yi Jia, H. Jinchi, K. Kanishev, B. Khiali, G. N. Kim, Th. Kirn, M. Konyushikhin, O. Kounina, A. Kounine, V. Koutsenko, A. Kulemzin, G. La Vacca, E. Laudi, G. Laurenti, I. Lazzizzera, A. Lebedev, H. T. Lee, S. C. Lee, J. Q. Li, Q. Li, T. X. Li, Z. H. Li, C. Light, C. H. Lin, T. Lippert, Z. Liu, S. Q. Lu, Y. S. Lu, K. Luebelsmeyer, F. Luo, J. Z. Luo, Xi Luo, S. S. Lyu, F. Machate, C. Mañá, J. Marín, T. Martin, G. Martínez, N. Masi, D. Maurin, A. Menchaca-Rocha, Q. Meng, D. C. Mo, M. Molero, P. Mott, L. Mussolin, T. Nelson, J. Q. Ni, N. Nikonov, F. Nozzoli, A. Oliva, M. Orcinha, M. Palermo, F. Palmonari, M. Paniccia, A. Pashnin, M. Pauluzzi, S. Pensotti, H. D. Phan, V. Plyaskin, V. Poireau, S. Poluianov, A. Popkow, X. M. Qi, X. Qin, Z. Y. Qu, L. Quadrani, P. G. Rancoita, D. Rapin, A. Reina Conde, S. Rosier-Lees, A. Rozhkov, D. Rozza, R. Sagdeev, S. Schael, S. M. Schmidt, A. Schulz von Dratzig, G. Schwering, E. S. Seo, B. S. Shan, J. Y. Shi, T. Siedenburg, C. Solano, J. W. Song, Z. T. Sun, M. Tacconi, X. W. Tang, Z. C. Tang, J. Tian, Samuel C. C. Ting, S. M. Ting, N. Tomassetti, J. Torsti, C. Tüysüz, T. Urban, I. Usoskin, V. Vagelli, R. Vainio, E. Valente, E. Valtonen, M. Vázquez Acosta, M. Vecchi, M. Velasco, J. P. Vialle, L. Q. Wang, N. H. Wang, Q. L. Wang, X. Wang, X. Q. Wang, Z. X. Wang, J. Wei, Z. L. Weng, H. Wu, R. Q. Xiong, W. Xu, Q. Yan, Y. Yang, H. Yi, Y. J. Yu, Z. Q. Yu, M. Zannoni, S. Zeissler, C. Zhang, F. Zhang, J. H. Zhang, Z. Zhang, F. Zhao, Z. M. Zheng, H. L. Zhuang, V. Zhukov, A. Zichichi, N. Zimmermann, and P. Zuccon
Published: 2019
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47. Towards Understanding the Origin of Cosmic-Ray Electrons

Author: M. Aguilar, L. Ali Cavasonza, B. Alpat, G. Ambrosi, L. Arruda, N. Attig, P. Azzarello, A. Bachlechner, F. Barao, A. Barrau, L. Barrin, A. Bartoloni, L. Basara, S. Başeğmez-du Pree, R. Battiston, U. Becker, M. Behlmann, B. Beischer, J. Berdugo, B. Bertucci, V. Bindi, W. de Boer, K. Bollweg, B. Borgia, M. J. Boschini, M. Bourquin, E. F. Bueno, J. Burger, W. J. Burger, X. D. Cai, M. Capell, S. Caroff, J. Casaus, G. Castellini, F. Cervelli, Y. H. Chang, G. M. Chen, H. S. Chen, Y. Chen, L. Cheng, H. Y. Chou, V. Choutko, C. H. Chung, C. Clark, G. Coignet, C. Consolandi, A. Contin, C. Corti, M. Crispoltoni, Z. Cui, K. Dadzie, Y. M. Dai, A. Datta, C. Delgado, S. Della Torre, M. B. Demirköz, L. Derome, S. Di Falco, V. Di Felice, F. Dimiccoli, C. Díaz, P. von Doetinchem, F. Dong, F. Donnini, M. Duranti, A. Egorov, A. Eline, T. Eronen, J. Feng, E. Fiandrini, P. Fisher, V. Formato, Y. Galaktionov, R. J. García-López, C. Gargiulo, H. Gast, I. Gebauer, M. Gervasi, F. Giovacchini, D. M. Gómez-Coral, J. Gong, C. Goy, V. Grabski, D. Grandi, M. Graziani, K. H. Guo, S. Haino, K. C. Han, Z. H. He, M. Heil, T. H. Hsieh, H. Huang, Z. C. Huang, M. Incagli, Yi Jia, H. Jinchi, K. Kanishev, B. Khiali, Th. Kirn, C. Konak, O. Kounina, A. Kounine, V. Koutsenko, A. Kulemzin, G. La Vacca, E. Laudi, G. Laurenti, I. Lazzizzera, A. Lebedev, H. T. Lee, S. C. Lee, C. Leluc, J. Q. Li, Q. Li, T. X. Li, Z. H. Li, C. Light, C. H. Lin, T. Lippert, F. Z. Liu, Hu Liu, Z. Liu, S. Q. Lu, Y. S. Lu, K. Luebelsmeyer, F. Luo, J. Z. Luo, Xi Luo, S. S. Lyu, F. Machate, C. Mañá, J. Marín, T. Martin, G. Martínez, N. Masi, D. Maurin, A. Menchaca-Rocha, Q. Meng, D. C. Mo, M. Molero, P. Mott, L. Mussolin, T. Nelson, J. Q. Ni, N. Nikonov, F. Nozzoli, A. Oliva, M. Orcinha, M. Palermo, F. Palmonari, M. Paniccia, A. Pashnin, M. Pauluzzi, S. Pensotti, C. Perrina, H. D. Phan, N. Picot-Clemente, V. Plyaskin, M. Pohl, V. Poireau, A. Popkow, L. Quadrani, X. M. Qi, X. Qin, Z. Y. Qu, P. G. Rancoita, D. Rapin, A. Reina Conde, S. Rosier-Lees, A. Rozhkov, D. Rozza, R. Sagdeev, C. Solano, S. Schael, S. M. Schmidt, A. Schulz von Dratzig, G. Schwering, E. S. Seo, B. S. Shan, J. Y. Shi, T. Siedenburg, J. W. Song, Z. T. Sun, M. Tacconi, X. W. Tang, Z. C. Tang, J. Tian, Samuel C. C. Ting, S. M. Ting, N. Tomassetti, J. Torsti, T. Urban, V. Vagelli, E. Valente, E. Valtonen, M. Vázquez Acosta, M. Vecchi, M. Velasco, J. P. Vialle, J. Vizán, L. Q. Wang, N. H. Wang, Q. L. Wang, X. Wang, X. Q. Wang, Z. X. Wang, J. Wei, Z. L. Weng, H. Wu, R. Q. Xiong, W. Xu, Q. Yan, Y. Yang, H. Yi, Y. J. Yu, Z. Q. Yu, M. Zannoni, S. Zeissler, C. Zhang, F. Zhang, J. H. Zhang, Z. Zhang, F. Zhao, Z. M. Zheng, H. L. Zhuang, V. Zhukov, A. Zichichi, N. Zimmermann, and P. Zuccon
Published: 2019
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48. Towards Understanding the Origin of Cosmic-Ray Positrons

Author: M. Aguilar, L. Ali Cavasonza, G. Ambrosi, L. Arruda, N. Attig, P. Azzarello, A. Bachlechner, F. Barao, A. Barrau, L. Barrin, A. Bartoloni, L. Basara, S. Başeğmez-du Pree, R. Battiston, U. Becker, M. Behlmann, B. Beischer, J. Berdugo, B. Bertucci, V. Bindi, W. de Boer, K. Bollweg, B. Borgia, M. J. Boschini, M. Bourquin, E. F. Bueno, J. Burger, W. J. Burger, X. D. Cai, M. Capell, S. Caroff, J. Casaus, G. Castellini, F. Cervelli, Y. H. Chang, G. M. Chen, H. S. Chen, Y. Chen, L. Cheng, H. Y. Chou, V. Choutko, C. H. Chung, C. Clark, G. Coignet, C. Consolandi, A. Contin, C. Corti, M. Crispoltoni, Z. Cui, K. Dadzie, Y. M. Dai, A. Datta, C. Delgado, S. Della Torre, M. B. Demirköz, L. Derome, S. Di Falco, F. Dimiccoli, C. Díaz, P. von Doetinchem, F. Dong, F. Donnini, M. Duranti, A. Egorov, A. Eline, T. Eronen, J. Feng, E. Fiandrini, P. Fisher, V. Formato, Y. Galaktionov, R. J. García-López, C. Gargiulo, H. Gast, I. Gebauer, M. Gervasi, F. Giovacchini, D. M. Gómez-Coral, J. Gong, C. Goy, V. Grabski, D. Grandi, M. Graziani, K. H. Guo, S. Haino, K. C. Han, Z. H. He, M. Heil, T. H. Hsieh, H. Huang, Z. C. Huang, M. Incagli, Yi Jia, H. Jinchi, K. Kanishev, B. Khiali, Th. Kirn, C. Konak, O. Kounina, A. Kounine, V. Koutsenko, A. Kulemzin, G. La Vacca, E. Laudi, G. Laurenti, I. Lazzizzera, A. Lebedev, H. T. Lee, S. C. Lee, C. Leluc, J. Q. Li, Q. Li, T. X. Li, Z. H. Li, C. Light, C. H. Lin, T. Lippert, F. Z. Liu, Hu Liu, Z. Liu, S. Q. Lu, Y. S. Lu, K. Luebelsmeyer, F. Luo, J. Z. Luo, Xi Luo, S. S. Lyu, F. Machate, C. Mañá, J. Marín, T. Martin, G. Martínez, N. Masi, D. Maurin, A. Menchaca-Rocha, Q. Meng, D. C. Mo, M. Molero, P. Mott, L. Mussolin, T. Nelson, J. Q. Ni, N. Nikonov, F. Nozzoli, A. Oliva, M. Orcinha, M. Palermo, F. Palmonari, M. Paniccia, A. Pashnin, M. Pauluzzi, S. Pensotti, C. Perrina, H. D. Phan, N. Picot-Clemente, V. Plyaskin, M. Pohl, V. Poireau, A. Popkow, L. Quadrani, X. M. Qi, X. Qin, Z. Y. Qu, P. G. Rancoita, D. Rapin, A. Reina Conde, S. Rosier-Lees, A. Rozhkov, D. Rozza, R. Sagdeev, C. Solano, S. Schael, S. M. Schmidt, A. Schulz von Dratzig, G. Schwering, E. S. Seo, B. S. Shan, J. Y. Shi, T. Siedenburg, J. W. Song, Z. T. Sun, M. Tacconi, X. W. Tang, Z. C. Tang, J. Tian, Samuel C. C. Ting, S. M. Ting, N. Tomassetti, J. Torsti, T. Urban, V. Vagelli, E. Valente, E. Valtonen, M. Vázquez Acosta, M. Vecchi, M. Velasco, J. P. Vialle, J. Vizán, L. Q. Wang, N. H. Wang, Q. L. Wang, X. Wang, X. Q. Wang, Z. X. Wang, J. Wei, Z. L. Weng, H. Wu, R. Q. Xiong, W. Xu, Q. Yan, Y. Yang, H. Yi, Y. J. Yu, Z. Q. Yu, M. Zannoni, S. Zeissler, C. Zhang, F. Zhang, J. H. Zhang, Z. Zhang, F. Zhao, Z. M. Zheng, H. L. Zhuang, V. Zhukov, A. Zichichi, N. Zimmermann, and P. Zuccon
Published: 2019
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49. From Auto- to Allotransplantation

Author: F. -C. Wei, H. -Y. Cheng, C. -H. Lin
Published: 2016

50. A zero forcing technique for bounding sums of eigenvalue multiplicities

Author: Franklin H. J. Kenter and Jephian C.-H. Lin
Subjects: Numerical Analysis, Algebra and Number Theory, Diagonal, Inverse, Multiplicity (mathematics), Combinatorics, Discrete Mathematics and Combinatorics, Partition (number theory), Geometry and Topology, Adjacency matrix, Relaxation (approximation), Eigenvalues and eigenvectors, Mathematics, Real number
Abstract: Given a graph G, one may ask: “What sets of eigenvalues are possible over all weighted adjacency matrices of G?” (The weight of an edge is positive or negative, while the diagonal entries can be any real numbers.) This is known as the Inverse Eigenvalue Problem for graphs (IEPG). A mild relaxation of this question considers the multiplicity list instead of the exact eigenvalues themselves. That is, given a graph G on n vertices and an ordered partition m = ( m 1 , … , m l ) of n, is there a weighted adjacency matrix where the i-th distinct eigenvalue has multiplicity m i ? This is known as the ordered multiplicity IEPG. Recent work solved the ordered multiplicity IEPG for all graphs on 6 vertices. In this work, we develop zero forcing methods for the ordered multiplicity IEPG in a multitude of different contexts. Namely, we utilize zero forcing parameters on powers of graphs to achieve bounds on consecutive multiplicities. We are able to provide general bounds on sums of multiplicities of eigenvalues for graphs. This includes new bounds on the sums of multiplicities of consecutive eigenvalues as well as more specific bounds for trees. Using these results, we verify the previous results above regarding the IEPG on six vertices. In addition, applying our techniques to skew-symmetric matrices, we are able to determine all possible ordered multiplicity lists for skew-symmetric matrices for connected graphs on five vertices.
Published: 2021

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