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A New master Supernovae Ia sample and the investigation of the Hubble tension

Journal of High Energy Astrophysics 2025年 48卷

作者： M.G. Dainotti B. De Simone A. Garg K. Kohri A. Bashyal A. Aich A. Mondal S. Nagataki G. Montani T. Jareen V.M. Jabir S. Khanjani M. Bogdan N. Fraija A.C.C. do E.S. Pedreira R.H. Dejrah A. Singh M. Parakh R. Mandal K. Jarial H. Sarkar Division of Science National Astronomical Observatory of Japan 2 Chome-21-1 Osawa Mitaka Tokyo 181-8588 Japan The Graduate University for Advanced Studies SOKENDAI Shonankokusaimura Hayama Miura District Kanagawa 240-0115 Japan Space Science Institutes 4765 Walnut St Ste B Boulder 80301 CO USA Nevada Center for Astrophysics University of Nevada 89154 4505 Maryland Parkway Las Vegas 80301 NV USA Dipartimento di Fisica “E.R. Caianiello” Università di Salerno Via Giovanni Paolo II 132 Fisciano Salerno 84084 Italy INFN Gruppo Collegato di Salerno - Sezione di Napoli. c/o Dipartimento di Fisica “E.R. Caianiello” Università di Salerno Via Giovanni Paolo II 132 Fisciano Salerno 84084 Italy Department of Astronomy Astrophysics and Space Engineering Indian Institute of Technology Indore Madhya Pradesh 403552 India Theory Center IPNS and QUP (WPI) KEK 1-1 Oho Tsukuba 305-0801 Japan Kavli IPMU (WPI) UTIAS The University of Tokyo Kashiwa Chiba 277-8583 Japan Central Department of Physics Tribhuvan University Kirtipur Kathmandu 44618 Nepal Pokhara Astronomical Society Pokhara 33700 Nepal Prayoga Institute of Education Research Kanakapura Rd off Ravgodlu Post Bengaluru 560082 Karnataka India Indian Institute of Science Education and Research Homi Bhabha Road Pashan Pune Maharashtra 411008 India Astrophysical Big Bang Laboratory (ABBL) RIKEN Cluster for Pioneering Research 2-1 Hirosawa Wako Saitama 351-0198 Japan RIKEN Interdisciplinary Theoretical & Mathematical Science Program (iTHEMS) 2-1 Hirosawa Wako Saitama 351-0198 Japan Astrophysical Big Bang Group (ABBG) Okinawa Institute of Science and Technology (OIST) 1919-1 Tancha Onna-son Kunigami-gun Okinawa 904-0495 Japan Physics Department “Sapienza” University of Rome P.le Aldo Moro 5 Rome 00185 Italy ENEA Fusion and Nuclear Safety Department C.R. Frascati Via E. Fermi 45 Frascati 00044 Italy The Thanu Padmanabhan Centre for Cosmology and Science Popularization Gurugram

Modern cosmological research still thoroughly debates the discrepancy between local probes and the Cosmic Microwave Background observations in the Hubble constant ( H 0 ) measurements, ranging from 4 to 6 σ . In the current study, we examine this tension using the Supernovae Ia (SNe Ia) data from the Pantheon, Pantheon+ (P+), Joint Lightcurve Analysis (JLA), and Dark Energy Survey, (DES) catalogs combined together into the so-called master Sample. The sample contains 3714 SNe Ia, and is divided all of them into redshift-ordered bins. Three binning techniques are presented: the equi-population, the moving window (MW), and the equi-spacing in the log ⁡ − z . We perform a Markov-Chain Monte Carlo analysis (MCMC) for each bin to determine the H 0 value, estimating it within the standard flat ΛCDM and the w 0 w a CDM models. These H 0 values are then fitted with the following phenomenological function: H 0 ( z ) = H ˜ 0 / ( 1 + z ) α , where H ˜ 0 is a free parameter representing H 0 ( z ) fitted in z = 0 , and α is the evolutionary parameter. Our results indicate a decreasing trend characterized by α ∼ 0.01 , whose consistency with zero ranges from 1 σ in 5 cases to 1 case at 3 σ and 11 cases at > 3 σ in several samples and configurations. Such a trend in the SNe Ia catalogs could be due to evolution with redshift for the astrophysical variables or unveiled selection biases. Alternatively, intrinsic physics, possibly the f ( R ) theory of gravity, could be responsible for this trend.

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Wogonin Ameliorates ER Stress-Associated Inflammatory Response, Apoptotic Death and Renal Fibrosis in a Unilateral Ureteral Obstruction Mouse Model

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European journal of pharmacology 2024年 977卷 176676页

作者： Huey-Liang Kuo Haw-Ling Chuang Chang-Mu Chen Yu-Ya Chen Yu-Syuan Chen Ssu-Chia Lin Pei-Yu Weng Ting-Chun Liu Pei-Yun Wang Chun-Fa Huang Siao-Syun Guan Shing-Hwa Liu Shun-Fa Yang Cheng-Tien Wu School of Medicine China Medical University Taichung 40402 Taiwan Division of Nephrology Department of Internal Medicine China Medical University Hospital Taichung 40402 Taiwan Clinical Nutrition China Medical University Hospital Taichung 40402 Taiwan. Electronic address: 012307@tool.caaumed.org.tw. Department of Emergency Taichung Tzu Chi Hospital Buddhist Tzu Chi Medical Foundation Taichung 427 Taiwan. Electronic address: tc2050403@tzuchi.com.tw. Division of Neurosurgery Department of Surgery College of Medicine and Hospital National Taiwan University Taipei 10051 Taiwan. Electronic address: cmchen10@ntuh.gov.tw. Department of Nutrition China Medical University Taichung Taiwan 40402 ROC. Electronic address: u109076010@cmu.edu.tw. Department of Nutrition China Medical University Taichung Taiwan 40402 ROC. Electronic address: u108008441@cmu.edu.tw. Department of Nutrition China Medical University Taichung Taiwan 40402 ROC. Electronic address: cora20001017@***. Department of Nutrition China Medical University Taichung Taiwan 40402 ROC. Electronic address: zxc***@***. Department of Nutrition China Medical University Taichung Taiwan 40402 ROC. Electronic address: t3129t3129@***. Department of Nutrition China Medical University Taichung Taiwan 40402 ROC. Electronic address: lllll520520@***. School of Chinese Medicine College of Chinese Medicine China Medical University Taichung 40402 Taiwan Department of Nursing College of Medical and Health Science Asia University Taichung 413 Taiwan. Electronic address: cfhuang@mail.cmu.edu.tw. Institute of Nuclear Energy Research Atomic Energy Council Taoyuan 32546 Taiwan. Electronic address: ssguan@iner.gov.tw. Institute of Toxicology College of Medicine National Taiwan University Taipei 10051 Taiwan. Electronic address: shingwaliu@ntu.edu.tw. Institute of Medicine Chung Shan Medical University Taichung 40201 Taiwan Department of Medical Research Chung Shan Medical University Hospital Taichung 40201 T

Wogonin, a vital bioactive compound extracted from the medicinal plant, Scutellaria baicalensis, has been wildly used for its potential in mitigating the progression of chronic diseases. Chronic kidney disease (CKD) represents a significant global health challenge due to its high prevalence, morbidity and mortality rates, and associated complications. This study aimed to assess the potential of wogonin in attenuating renal fibrosis and to elucidate the underlying molecular mechanisms using a unilateral ureteral obstruction (UUO) mouse model as a CKD mimic. Male mice, 8 weeks old, underwent orally administrated of either 50 mg/kg/day of wogonin or positive control of 5 mg/kg/day candesartan following UUO surgery. NRK52E cells were exposed to tumor growth factors-beta (TGF-β) to evaluate the anti-fibrotic effects of wogonin. The results demonstrated that wogonin treatment effectively attenuated TGF-β-induced fibrosis markers in NRK-52E cells. Additionally, administration of wogonin significantly improved histopathological alterations and downregulated the expression of pro-fibrotic factors (Fibronectin, α-smooth muscle actin, Collagen IV, E-cadherin, and TGF-β), oxidative stress markers (Catalase, superoxide dismutase 2, NADPH oxidase 4, and thioredoxin reductase 1), inflammatory molecules (Cyclooxygenase-2 and TNF-α), and the infiltration of neutrophils and macrophages in UUO mice. Furthermore, wogonin treatment mitigated endoplasmic reticulum (ER) stress-associated molecular markers (GRP78, GRP94, ATF4, CHOP, and the caspase cascade) and suppressed apoptosis. The findings indicate that wogonin treatment ameliorates key fibrotic aspects of CKD by attenuating ER stress-related apoptosis, inflammation, and oxidative stress, suggesting its potential as a future therapeutic target.

关键词： Chronic kidney disease ER stress Fibrosis Inflammation Wogonin

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Population of Merging Compact Binaries Inferred Using Gravitational Waves through GWTC-3

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Physical Review X 2023年第1期13卷 011048-011048页

作者： R. Abbott T. D. Abbott F. Acernese K. Ackley C. Adams N. Adhikari R. X. Adhikari V. B. Adya C. Affeldt D. Agarwal M. Agathos K. Agatsuma N. Aggarwal O. D. Aguiar L. Aiello A. Ain P. Ajith T. Akutsu P. F. de Alarcón S. Akcay S. Albanesi A. Allocca P. A. Altin A. Amato C. Anand S. Anand A. Ananyeva S. B. Anderson W. G. Anderson M. Ando T. Andrade N. Andres T. Andrić S. V. Angelova S. Ansoldi J. M. Antelis S. Antier F. Antonini S. Appert Koji Arai Koya Arai Y. Arai S. Araki A. Araya M. C. Araya J. S. Areeda M. Arène N. Aritomi N. Arnaud M. Arogeti S. M. Aronson K. G. Arun H. Asada Y. Asali G. Ashton Y. Aso M. Assiduo S. M. Aston P. Astone F. Aubin C. Austin S. Babak F. Badaracco M. K. M. Bader C. Badger S. Bae Y. Bae A. M. Baer S. Bagnasco Y. Bai L. Baiotti J. Baird R. Bajpai M. Ball G. Ballardin S. W. Ballmer A. Balsamo G. Baltus S. Banagiri D. Bankar J. C. Barayoga C. Barbieri B. C. Barish D. Barker P. Barneo F. Barone B. Barr L. Barsotti M. Barsuglia D. Barta J. Bartlett M. A. Barton I. Bartos R. Bassiri A. Basti M. Bawaj J. C. Bayley A. C. Baylor M. Bazzan B. Bécsy V. M. Bedakihale M. Bejger I. Belahcene V. Benedetto D. Beniwal T. F. Bennett J. D. Bentley M. BenYaala F. Bergamin B. K. Berger S. Bernuzzi C. P. L. Berry D. Bersanetti A. Bertolini J. Betzwieser D. Beveridge R. Bhandare U. Bhardwaj D. Bhattacharjee S. Bhaumik I. A. Bilenko G. Billingsley S. Bini R. Birney O. Birnholtz S. Biscans M. Bischi S. Biscoveanu A. Bisht B. Biswas M. Bitossi M.-A. Bizouard J. K. Blackburn C. D. Blair D. G. Blair R. M. Blair F. Bobba N. Bode M. Boer G. Bogaert M. Boldrini L. D. Bonavena F. Bondu E. Bonilla R. Bonnand P. Booker B. A. Boom R. Bork V. Boschi N. Bose S. Bose V. Bossilkov V. Boudart Y. Bouffanais A. Bozzi C. Bradaschia P. R. Brady A. Bramley A. Branch M. Branchesi J. Brandt J. E. Brau M. Breschi T. Briant J. H. Briggs A. Brillet M. Brinkmann P. Brockill A. F. Brooks J. Brooks D. D. Brown S. Brunett G. Bruno R. Bruntz J. Bryant T. Bulik H. J. Bulten A. Buonanno R. Buscicchio D. Buskulic C. Buy R. L. Byer L. Cadonati LIGO Laboratory California Institute of Technology Pasadena California 91125 USA Louisiana State University Baton Rouge Louisiana 70803 USA Dipartimento di Farmacia Università di Salerno I-84084 Fisciano Salerno Italy INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo I-80126 Napoli Italy OzGrav School of Physics & Astronomy Monash University Clayton 3800 Victoria Australia LIGO Livingston Observatory Livingston Louisiana 70754 USA University of Wisconsin-Milwaukee Milwaukee Wisconsin 53201 USA OzGrav Australian National University Canberra Australian Capital Territory 0200 Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) D-30167 Hannover Germany Leibniz Universität Hannover D-30167 Hannover Germany Inter-University Centre for Astronomy and Astrophysics Pune 411007 India University of Cambridge Cambridge CB2 1TN United Kingdom Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena D-07743 Jena Germany University of Birmingham Birmingham B15 2TT United Kingdom Center for Interdisciplinary Exploration & Research in Astrophysics (CIERA) Northwestern University Evanston Illinois 60208 USA Instituto Nacional de Pesquisas Espaciais 12227-010 São José dos Campos São Paulo Brazil Gravity Exploration Institute Cardiff University Cardiff CF24 3AA United Kingdom INFN Sezione di Pisa I-56127 Pisa Italy International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bengaluru 560089 India Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Universitat de les Illes Balears IAC3–IEEC E-07122 Palma de Mallorca Spain University College Dublin Dublin 4 Ireland INFN Sezione di Torino I-10125 Torino Italy Università di Napoli “Federico II” Complesso Universitario di Monte S. Angelo I-80126 Napoli

We report on the population properties of compact binary mergers inferred from gravitational-wave observations of these systems during the first three LIGO-Virgo observing runs. The Gravitational-Wave Transient Catalog 3 (GWTC-3) contains signals consistent with three classes of binary mergers: binary black hole, binary neutron star, and neutron star–black hole mergers. We infer the binary neutron star merger rate to be between 10 and 1700 Gpc−3 yr−1 and the neutron star–black hole merger rate to be between 7.8 and 140 Gpc−3 yr−1, assuming a constant rate density in the comoving frame and taking the union of 90% credible intervals for methods used in this work. We infer the binary black hole merger rate, allowing for evolution with redshift, to be between 17.9 and 44 Gpc−3 yr−1 at a fiducial redshift (z=0.2). The rate of binary black hole mergers is observed to increase with redshift at a rate proportional to (1+z)κ with κ=2.9−1.8+1.7 for z≲1. Using both binary neutron star and neutron star–black hole binaries, we obtain a broad, relatively flat neutron star mass distribution extending from 1.2−0.2+0.1 to 2.0−0.3+0.3M⊙. We confidently determine that the merger rate as a function of mass sharply declines after the expected maximum neutron star mass, but cannot yet confirm or rule out the existence of a lower mass gap between neutron stars and black holes. We also find the binary black hole mass distribution has localized over- and underdensities relative to a power-law distribution, with peaks emerging at chirp masses of 8.3−0.5+0.3 and 27.9−1.8+1.9M⊙. While we continue to find that the mass distribution of a binary’s more massive component strongly decreases as a function of primary mass, we observe no evidence of a strongly suppressed merger rate above approximately 60M⊙, which would indicate the presence of a upper mass gap. Observed black hole spins are small, with half of spin magnitudes below χi≈0.25. While the majority of spins are preferentially aligned wi

关键词： Gravitational wave sources Gravitational waves Gravitational wave detection

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Basic Framework of Regional Model for Disaster Waste Estimation and Distribution by Using Spatial Approach in Central Java-Indonesia

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IOP Conference Series: Earth and Environmental science 2019年第1期396卷

作者： M Maryono K Seruningtyas A D Roynaldi Sudarno Hadiyanto Department of Urban and Regional Planning Faculty of Engineering Diponegoro University Indonesia Center for Green Infrastructure Resilience and Development (C-Greinde) Master Program of Environmental Science School of Postgraduate Diponegoro University Indonesia Department of Environmental Engineering Faculty of Engineering Diponegoro University Indonesia Department of Chemical Engineering Faculty of Engineering Diponegoro University Indonesia

Disaster are becoming more frequent around the world and more intense in urban areas. Central Java is the province with the largest number of disasters in Indonesia. Disaster create amount of disaster waste and sometime very huge, many times comparing to daily municipal waste generation. Government and local citizen sometimes are unable to handling disaster waste. Since effective implementation of disaster waste management (DWM) will lead quick and better recovery of living and avoid more environmental risk, high level regional government such as provincial should help. To make effective support, it is important that provincial government develop a model to monitor disaster waste generation in each regency and cities. This study aims to develop basic framework of regional model for disaster waste estimation and distribution in provincial level. This study used Central Java Province as a case study. To estimate disaster waste in Central Java, this study developed an index system as a basic model. It is about basic comparison of disaster waste generation in all central java regencies or cities. Disaster waste is associated with total disaster events. This study utilized GIS tools to express model and system. This study developed of regional model disaster waste estimation in Central Java, divided by 3 sub decades. Study result shown that in first decade 1990-1999 the highest index of disaster waste estimation is Brebes Regency. Second decade 2000-2009 the highest index of disaster waste estimation is Semarang Regency and the third decade 2010-2018 the highest index of disaster waste estimation in Cilacap Regency.

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Cosmic-ray acceleration and escape from supernova remnant W44 as probed by Fermi-LAT and MAGIC

arXiv

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arXiv 2025年

作者： Abe, S. Abhir, J. Abhishek, A. Acciari, V.A. Aguasca-Cabot, A. Agudo, I. Aniello, T. Ansoldi, S. Antonelli, L.A. Arbet Engels, A. Arcaro, C. Asano, K. Babić, A. Baquero, A. Barres de Almeida, U. Barrio, J.A. Batković, I. Bautista, A. Baxter, J. Becerra González, J. Bednarek, W. Bernardini, E. Bernete, J. Berti, A. Besenrieder, J. Bigongiari, C. Biland, A. Blanch, O. Bonnoli, G. Bošnjak, Ž. Bronzini, E. Burelli, I. Busetto, G. Campoy-Ordaz, A. Carosi, A. Carosi, R. Carretero-Castrillo, M. Castro-Tirado, A.J. Cerasole, D. Ceribella, G. Chai, Y. Chilingarian, A. Cifuentes, A. Colombo, E. Contreras, J.L. Cortina, J. Covino, S. D'Amico, G. D'Elia, V. Da Vela, P. Dazzi, F. De Angelis, A. De Lotto, B. de Menezes, R. Del Popolo, A. Delfino, M. Delgado, J. Delgado Mendez, C. Di Pierro, F. Dominis Prester, D. Donini, A. Dorner, D. Doro, M. Elsaesser, D. Emery, G. Escudero, J. Fariña, L. Fattorini, A. Foffano, L. Font, L. Fröse, S. Fukazawa, Y. García López, R.J. Garczarczyk, M. Gasparyan, S. Gaug, M. Giesbrecht Paiva, J.G. Giglietto, N. Gliwny, P. Godinović, N. Gozzini, S.R. Gradetzke, T. Grau, R. Green, J.G. Günther, P. Hadasch, D. Hahn, A. Hassan, T. Heckmann, L. Herrera, J. Hrupec, D. Hütten, M. Imazawa, R. Ishio, K. Jiménez Martínez, I. Jormanainen, J. Kayanoki, T. Kerszberg, D. Kluge, G.W. Kobayashi, Y. Kouch, P.M. Kubo, H. Kushida, J. Láinez, M. Lamastra, A. Leone, F. Lindfors, E. Linhoff, L. Lombardi, S. Longo, F. López-Coto, R. López-Moya, M. López-Oramas, A. Loporchio, S. Lorini, A. Lyard, E. Machado de Oliveira Fraga, B. Majumdar, P. Makariev, M. Maneva, G. Mang, N. Manganaro, M. Mangano, S. Mannheim, K. Mariotti, M. Martínez, M. Martínez-Chicharro, M. Mas-Aguilar, A. Mazin, D. Menchiari, S. Mender, S. Miceli, D. Miener, T. Miranda, J.M. Mirzoyan, R. Molero González, M. Molina, E. Mondal, H.A. Moralejo, A. Morcuende, D. Nakamori, T. Nanci, C. Nava, L. Neustroev, V. Nickel, L. Nievas Rosillo, M. Nigro, C. Nikolić, L. Nishijima, K. Njoh Ekoume, T. The University of Tokyo Chiba Kashiwa277-8582 Japan ETH Zürich ZürichCH-8093 Switzerland Università di Siena INFN Pisa SienaI-53100 Italy Instituto de Astrofísica de Canarias Dpto. de Astrofísica Universidad de La Laguna Tenerife La LagunaE-38200 Spain Universitat de Barcelona ICCUB IEEC-UB BarcelonaE-08028 Spain Instituto de Astrofísica de Andalucía-CSIC Glorieta de la Astronomía s/n Granada18008 Spain RomeI-00136 Italy Università di Udine INFN Trieste UdineI-33100 Italy Max-Planck-Institut für Physik GarchingD-85748 Germany Università di Padova INFN PadovaI-35131 Italy Zagreb10000 Croatia IPARCOS Institute EMFTEL Department Universidad Complutense de Madrid MadridE-28040 Spain 22290-180 URCA RJ Rio de Janeiro22290-180 Brazil University of Lodz Faculty of Physics and Applied Informatics Department of Astrophysics Lodz90-236 Poland Centro de Investigaciones Energéticas Medioambientales y Tecnológicas MadridE-28040 Spain Bellaterra BarcelonaE-08193 Spain Departament de Física CERES-IEEC Universitat Autònoma de Barcelona BellaterraE-08193 Spain Università di Pisa INFN Pisa PisaI-56126 Italy INFN MAGIC Group INFN Sezione di Bari Dipartimento Interateneo di Fisica Università e del Politecnico di Bari BariI-70125 Italy Armenian MAGIC Group A. Alikhanyan National Science Laboratory Yerevan0036 Armenia Department for Physics and Technology University of Bergen Norway INFN MAGIC Group INFN Sezione di Torino Università degli Studi di Torino TorinoI-10125 Italy INFN MAGIC Group INFN Sezione di Catania Dipartimento di Fisica e Astronomia University of Catania CataniaI-95123 Italy Croatian MAGIC Group University of Rijeka Faculty of Physics Rijeka51000 Croatia Universität Würzburg WürzburgD-97074 Germany Technische Universität Dortmund DortmundD-44221 Germany University of Geneva Chemin d'Ecogia 16 VersoixCH-1290 Switzerland Japanese MAGIC Group: Physics Program Graduate School of Advanced Science and Engin

Context. The supernova remnant (SNR) W44 and its surroundings are a prime target for studying the acceleration of cosmic rays (CRs). Several previous studies established an extended gamma-ray emission that is set apart from the radio shell of W44. This emission is thought to originate from escaped high-energy CRs that interact with a surrounding dense molecular cloud complex. Aims. We present a detailed analysis of Fermi-LAT data with an emphasis on the spatial and spectral properties of W44 and its surroundings. We also report the results of the observations performed with the MAGIC telescopes of the northwestern region of W44. Finally, we present an interpretation model to explain the gamma-ray emission of the SNR and its surroundings. Methods. We first performed a detailed spatial analysis of 12 years of Fermi-LAT data at energies above 1 GeV, in order to exploit the better angular resolution, while we set a threshold of 100 MeV for the spectral analysis. We performed a likelihood analysis of 174 hours of MAGIC data above 130 GeV using the spatial information obtained with Fermi-LAT. Results. The combined spectra of Fermi-LAT and MAGIC, extending from 100 MeV to several TeV, were used to derive constraints on the escape of CRs. Using a time-dependent model to describe the particle acceleration and escape from the SNR, we show that the maximum energy of the accelerated particles has to be 40 GeV. However, our gamma-ray data suggest that a small number of lower-energy particles also needs to escape. We propose a novel model, the broken-shock scenario, to account for this effect and explain the gamma-ray emission. Copyright © 2025, The Authors. All rights reserved.

关键词： Cosmic rays

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Optimization of hybrid PVA/hFDM scaffold preparation

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AIP Conference Proceedings 2021年第1期2344卷

作者： Rizqa Inayati Muhammad Suhaeri Nuzli Fahdia Melinda Remelia Radiana Dhewayani Antarianto 1Master Program in Biomedical Science Faculty of Medicine Universitas Indonesia Jl. Salemba Raya No. 6 Central Jakarta DKI Jakarta 10430 Indonesia 2Rumah Sakit Universitas Indonesia Kampus Universitas Indonesia Depok West Java 16424 Indonesia 3Stem cell and Tissue Engineering Research Cluster Indonesian Medical Education and Research Institute (IMERI) Universitas Indonesia Salemba Raya Jakarta West Java 10430 Indonesia 4Doctoral Program in Biomedical Science Faculty of Medicine Universitas Indonesia Jl. Salemba Raya No. 6 Central Jakarta DKI Jakarta 10430 Indonesia 5Department of Basic Biomedicine Faculty of Medicine Universitas Kristen Indonesia Jl Mayjen Sutoyo No 2 DKI Jakarta 13630 Indonesia 6Department of Histology Faculty of Medicine Universitas Indonesia Jl. Salemba Raya No. 6 Central Jakarta DKI Jakarta 10430 Indonesia

Osteogenic differentiation from Mesenchymal Stem Cell (MSC) to osteoblast has a clinical significance which is very important for treating bone injuries, in the form of femoral fractures with the most cases in Indonesia. Various studies have been conducted to find the best scaffold that can improve osteogenic differentiation, one of which is the development of a hybrid scaffold made from natural biomaterials in the form of the extracellular matrix, and from synthetic biomaterials. The discovery of the best scaffold is not only focused on the source of the scaffold but also requires optimization of the method in making the scaffold. Therefore, the aim of this study is to find out the optimum method for making hybrid scaffolds that support osteogenic differentiation from MSC. Materials and methods: human Fibroblast-derived Matrix (hFDM) as a hybrid scaffold material collected from decellularized fibroblasts cultures from post-cleft-surgery reconstruction palatal skin. Fibroblast cell cultures were divided into two groups of cultures, cultures without Platelet Rich Plasma (PRP), and cultures with the addition of PRP. For decellularization, we performed optimization at the preparation stage of the decellularization solution, and the time of culture for decellularization. In the preparation of the decellularization solution, we divided it into two groups, NH4OH as material from the decellularization solution was diluted with PBS before mixing with 0.25% Triton X-100, and NH4OH was diluted directly in 0.25% Triton X-100. In optimizing the culture time for decellularization, we divided it into three groups, decellularization on the day when cell growth reached 100% confluent, decellularization on the 3rd day after 100% confluent (H + 3) cells, and decellularization on the 4th day after 100% confluent (H + 4) cells. Next, the hFDM matrix is collected and added Polyvinyl Alcohol (PVA) solutions to form a hybrid PVA / hFDM scaffold in the form of a hydrogel. Observations on h

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Standardised formats and open-source analysis tools for the MAGIC telescopes data

arXiv

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arXiv 2024年

作者： Abe, S. Abhir, J. Abhishek, A. Acciari, V.A. Aguasca-Cabot, A. Agudo, I. Aniello, T. Ansoldi, S. Antonelli, L.A. Engels, A. Arbet Arcaro, C. Artero, M. Asano, K. Babić, A. de Almeida, U. Barres Barrio, J.A. Batković, I. Bautista, A. Baxter, J. González, J. Becerra Bednarek, W. Bernardini, E. Bernete, J. Berti, A. Besenrieder, J. Bigongiari, C. Biland, A. Blanch, O. Bonnoli, G. Bošnjak, Ž. Bronzini, E. Burelli, I. Busetto, G. Campoy-Ordaz, A. Carosi, A. Carosi, R. Carretero-Castrillo, M. Castro-Tirado, A.J. Cerasole, D. Ceribella, G. Chai, Y. Cifuentes, A. Colombo, E. Contreras, J.L. Cortina, J. Covino, S. D’Amico, G. D’Elia, V. Da Vela, P. Dazzi, F. De Angelis, A. De Lotto, B. de Menezes, R. Delfino, M. Delgado, J. Di Pierro, F. Di Tria, R. Di Venere, L. Prester, D. Dominis Donini, A. Dorner, D. Doro, M. Elsaesser, D. Escudero, J. Fariña, L. Fattorini, A. Foffano, L. Font, L. Fröse, S. Fukami, S. Fukazawa, Y. López, R.J. García Garczarczyk, M. Gasparyan, S. Gaug, M. Paiva, J.G. Giesbrecht Giglietto, N. Giordano, F. Gliwny, P. Gradetzke, T. Grau, R. Green, D. Green, J.G. Günther, P. Hadasch, D. Hahn, A. Hassan, T. Heckmann, L. Llorente, J. Herrera Hrupec, D. Hütten, M. Imazawa, R. Ishio, K. Martínez, I. Jiménez Jormanainen, J. Kayanoki, T. Kerszberg, D. Kluge, G.W. Kobayashi, Y. Kouch, P.M. Kubo, H. Kushida, J. Láinez, M. Lamastra, A. Leone, F. Lindfors, E. Lombardi, S. Longo, F. López-Coto, R. López-Moya, M. López-Oramas, A. Loporchio, S. Lorini, A. Lyard, E. de Oliveira Fraga, B. Machado Majumdar, P. Makariev, M. Maneva, G. Manganaro, M. Mangano, S. Mannheim, K. Mariotti, M. Martínez, M. Martínez-Chicharro, M. Mas-Aguilar, A. Mazin, D. Menchiari, S. Mender, S. Miceli, D. Miener, T. Miranda, J.M. Mirzoyan, R. González, M. Molero Molina, E. Mondal, H.A. Moralejo, A. Morcuende, D. Nakamori, T. Nanci, C. Neustroev, V. Nickel, L. Rosillo, M. Nievas Nigro, C. Nikolić, L. Nishijima, K. Ekoume, T. Njoh Noda, K. Nozaki, S. Ohtani, Y. Okumura, A. Otero-Santos, J. The University of Tokyo Chiba Kashiwa277-8582 Japan ETH Zürich ZürichCH-8093 Switzerland Università di Siena INFN Pisa SienaI-53100 Italy Bellaterra BarcelonaE-08193 Spain Universitat de Barcelona ICCUB IEEC-UB BarcelonaE-08028 Spain Instituto de Astrofísica de Andalucía-CSIC Glorieta de la Astronomía s/n Granada18008 Spain RomeI-00136 Italy Università di Udine INFN Trieste UdineI-33100 Italy Max-Planck-Institut für Physik GarchingD-85748 Germany Università di Padova INFN PadovaI-35131 Italy Zagreb10000 Croatia URCA RJ Rio de Janeiro22290-180 Brazil IPARCOS Institute EMFTEL Department Universidad Complutense de Madrid MadridE-28040 Spain Instituto de Astrofísica de Canarias Dpto. de Astrofísica Universidad de La Laguna La Laguna TenerifeE-38200 Spain University of Lodz Faculty of Physics and Applied Informatics Department of Astrophysics Lodz90-236 Poland Centro de Investigaciones Energéticas Medioambientales y Tecnológicas MadridE-28040 Spain Departament de Física CERES-IEEC Universitat Autònoma de Barcelona BellaterraE-08193 Spain Università di Pisa INFN Pisa PisaI-56126 Italy INFN MAGIC Group INFN Sezione di Bari Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari BariI-70125 Italy Department for Physics and Technology University of Bergen Norway INFN MAGIC Group INFN Sezione di Torino Università degli Studi di Torino TorinoI-10125 Italy Croatian MAGIC Group University of Rijeka Faculty of Physics Rijeka51000 Croatia Universität Würzburg WürzburgD-97074 Germany Technische Universität Dortmund DortmundD-44221 Germany Japanese MAGIC Group: Physics Program Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima739-8526 Japan ZeuthenD-15738 Germany Armenian MAGIC Group: ICRANet-Armenia Yerevan0019 Armenia Croatian MAGIC Group Josip Juraj Strossmayer University of Osijek Department of Physics Osijek31000 Croatia Finnish MAGIC Group Finnish Cent

Instruments for gamma-ray astronomy at Very High Energies (E > 100 GeV) have traditionally derived their scientific results through proprietary data and software. Data standardisation has become a prominent issue in this field both as a requirement for the dissemination of data from the next generation of gamma-ray observatories and as an effective solution to realise public data legacies of current-generation instruments. Specifications for a standardised gamma-ray data format have been proposed as a community effort and have already been successfully adopted by several instruments. We present the first production of standardised data from the Major Atmospheric Gamma-ray Imaging Cherenkov (MAGIC) telescopes. We converted 166 h of observations from different sources and validated their analysis with the open-source software Gammapy. We consider six data sets representing different scientific and technical analysis cases and compare the results obtained analysing the standardised data with open-source software against those produced with the MAGIC proprietary data and software. Aiming at a systematic production of MAGIC data in this standardised format, we also present the implementation of a database-driven pipeline automatically performing the MAGIC data reduction from the calibrated down to the standardised data level. In all the cases selected for the validation, we obtain results compatible with the MAGIC proprietary software, both for the manual and for the automatic data productions. Part of the validation data set is also made publicly available, thus representing the first large public release of MAGIC data. This effort and this first data release represent a technical milestone toward the realisation of a public MAGIC data legacy. © 2024, CC BY.

关键词： Cosmology

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Diversity and longitudinal records: Genetic architecture of disease associations and polygenic risk in the Taiwanese Han population

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science Advances 2025年第23期11卷 eadt0539页

作者： Ting-Yuan Liu Hsing-Fang Lu Yu-Chia Chen Chi-Chou Liao Ying-Ju Lin Jai-Sing Yang Wen-Ling Liao Wei-De Lin Shih-Yin Chen Yu-Chuen Huang Wei-Yong Lin Yu-Huei Liu Kai-Cheng Hsu Shih-Sheng Chang Hong-Da Chen Yu-Pao Chou Jan-Gowth Chang Chung-Hsing Wang Chwen-Tzuei Chang Chung-Ming Huang Kai-Jieh Yeo Tzu-Yuan Wang Chin-Chung Yeh Jiunn-Horng Chen Chi-Ping Huang Hsueh-Chou Lai Rong-Hsing Chen Hui-Ju Lin Po-Yuan Wu Jiu-Yao Wang Chin-Chi Kuo Der-Yang Cho Chang-Hai Tsai Fuu-Jen Tsai Million-person precision medicine initiative Department of Medical Research China Medical University Hospital Taichung 40402 Taiwan. Master Program for Digital Health Innovation China Medical University Taichung 406040 Taiwan. Department of Medical Research China Medical University Hospital Taichung 40402 Taiwan. Genetic Center Department of Medical Research China Medical University Hospital Taichung 40402 Taiwan. School of Post Baccalaureate Chinese Medicine China Medical University Taichung 404333 Taiwan. Graduate Institute of Integrated Medicine College of Chinese Medicine China Medical University Taichung 406040 Taiwan. Center for Personalized Medicine Department of Medical Research China Medical University Hospital Taichung 406040 Taiwan. School of Chinese Medicine China Medical University Taichung 406040 Taiwan. Drug Development Center China Medical University Taichung 406040 Taiwan. Artificial Intelligence Center China Medical University Hospital Taichung 40402 Taiwan. Department of Neurology China Medical University Hospital Taichung 40402 Taiwan. Department of Medicine China Medical University Taichung 406040 Taiwan. Department of Laboratory Medicine China Medical University Hospital Taichung 40402 Taiwan. Department of Bioinformatics and Medical Engineering Asia University Taichung 41300 Taiwan. Department of Medical Laboratory Science and Biotechnology China Medical University Taichung Taiwan. Division of Genetics and Metabolism Children's Hospital of China Medical University Taichung 404447 Taiwan. Intelligent Diabetes Metabolism and Exercise Center Department of Internal Medicine China Medical University Hospital Taichung 40402 Taiwan. Division of Immunology and Rheumatology Department of Internal Medicine China Medical University Hospital Taichung 40402 Taiwan. Division of Endocrine and Metabolism China Medical University Hospital Taichung 40402 Taiwan. Department of Urology China Medical University Hospital Taichung 40402 Taiwan. Cen

We addressed the underrepresentation of non-European populations in genome-wide association studies (GWASs) by building HiGenome, a large-scale genetic resource for the Taiwanese Han population. Using a custom genotyping array, we integrated deidentified electronic medical records (2003 to 2021) with genomic data to enable GWASs, phenome-wide association studies, and polygenic risk score (PRS) analysis. Among 413,000 participants, 323,397 passed ancestry and quality control filtering. GWASs covered 1085 traits, focusing on diseases prevalent in Taiwan such as type 2 diabetes, chronic kidney disease, gout, and alcoholic liver damage. PRSs were calculated for 238 traits, with the strongest associations observed in musculoskeletal disorders. Incorporating PRS into clinical practice supports early risk prediction and personalized prevention. To further expand translational value, we also conducted pharmacogenomic analysis and human leukocyte antigen typing. HiGenome offers a large-scale genetic and clinical dataset from the Taiwanese Han population, supporting population-specific analyses and precision medicine development in East Asia. The hospital-based design enables continuous follow-up and longitudinal data expansion.

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Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: analysis for the Global Burden of Disease Study 2017 (vol 395, pg 1779, 2020)

引用

LANCET 2020年第10239期395卷 1762-1762页

作者： Reiner, R. C., Jr. Hay, S., I Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Global Health School of Medicine University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States College of Health and Medical Sciences Haramaya University Harar Ethiopia Department of Epidemiology and Biostatistics Haramaya University Harar Ethiopia Department of Medical Laboratory Sciences Haramaya University Harar Ethiopia School of Nursing and Midwifery Haramaya University Harar Ethiopia School of Pharmacy Haramaya University Harar Ethiopia School of Public Health Haramaya University Harar Ethiopia Haramaya University Harar Ethiopia Advanced Diagnostic and Interventional Radiology Research Center Tehran University of Medical Sciences Tehran Iran Cancer Biology Research Center Tehran University of Medical Sciences Tehran Iran Cancer Research Institute Tehran University of Medical Sciences Tehran Iran Department of Economics and Management Sciences for Health Tehran University of Medical Sciences Tehran Iran Department of Environmental Health Engineering Tehran University of Medical Sciences Tehran Iran Department of Epidemiology and Biostatistics Tehran University of Medical Sciences Tehran Iran Department of Health Management and Economics Tehran University of Medical Sciences Tehran Iran Department of Microbiology Tehran University of Medical Sciences Tehran Iran Department of Pharmacology Tehran University of Medical Sciences Tehran Iran Digestive Diseases Research Institute Tehran University of Medical Sciences Tehran Iran Endocrinology and Metabolism Research Center Tehran University of Medical Sciences Tehran Iran Hematology-Oncology and Stem Cell Transplantation Research Center Tehran University of Medical Sciences Tehran Iran Iran National Institute of Health Research Tehran University of Medical Sciences Tehran Iran Metabolomics and

Summary Background Across low-income and middle-income countries (LMICs), one in ten deaths in children younger than 5 years is attributable to diarrhoea. The substantial between-country variation in both diarrhoea incidence and mortality is attributable to interventions that protect children, prevent infection, and treat disease. Identifying subnational regions with the highest burden and mapping associated risk factors can aid in reducing preventable childhood *** We used Bayesian model-based geostatistics and a geolocated dataset comprising 15 072 746 children younger than 5 years from 466 surveys in 94 LMICs, in combination with findings of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, to estimate posterior distributions of diarrhoea prevalence, incidence, and mortality from 2000 to 2017. From these data, we estimated the burden of diarrhoea at varying subnational levels (termed units) by spatially aggregating draws, and we investigated the drivers of subnational patterns by creating aggregated risk factor *** The greatest declines in diarrhoeal mortality were seen in south and southeast Asia and South America, where 54·0% (95% uncertainty interval [UI] 38·1-65·8), 17·4% (7·7-28·4), and 59·5% (34·2-86·9) of units, respectively, recorded decreases in deaths from diarrhoea greater than 10%. Although children in much of Africa remain at high risk of death due to diarrhoea, regions with the most deaths were outside Africa, with the highest mortality units located in Pakistan. Indonesia showed the greatest within-country geographical inequality; some regions had mortality rates nearly four times the average country rate. Reductions in mortality were correlated to improvements in water, sanitation, and hygiene (WASH) or reductions in child growth failure (CGF). Similarly, most high-risk areas had poor WASH, high CGF, or low oral rehydration therapy *** By co-analysing geospatial trends in d

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Constraints on Lorentz invariance violation from the extraordinary Mrk 421 flare of 2014 using a novel analysis method

arXiv

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arXiv 2024年

作者： Abe, S. Abhir, J. Abhishek, A. Acciari, V.A. Aguasca-Cabot, A. Agudo, I. Aniello, T. Ansoldi, S. Antonelli, L.A. Engels, A. Arbet Arcaro, C. Artero, M. Asano, K. Babić, A. Baquero, A. de Almeida, U. Barres Barrio, J.A. Batković, I. Bautista, A. Baxter, J. González, J. Becerra Bednarek, W. Bernardini, E. Bernete, J. Berti, A. Besenrieder, J. Bigongiari, C. Biland, A. Blanch, O. Bonnoli, G. Bošnjak, Ž. Bronzini, E. Burelli, I. Busetto, G. Campoy-Ordaz, A. Carosi, A. Carosi, R. Carretero-Castrillo, M. Castro-Tirado, A.J. Cerasole, D. Ceribella, G. Chai, Y. Cifuentes, A. Colombo, E. Contreras, J.L. Cortina, J. Covino, S. D’Amico, G. D’Elia, V. Da Vela, P. Dazzi, F. De Angelis, A. De Lotto, B. de Menezes, R. Del Popolo, A. Delfino, M. Delgado, J. Mendez, C. Delgado Di Pierro, F. Di Tria, R. Di Venere, L. Prester, D. Dominis Donini, A. Dorner, D. Doro, M. Elsaesser, D. Emery, G. Escudero, J. Fariña, L. Fattorini, A. Foffano, L. Font, L. Fröse, S. Fukami, S. Fukazawa, Y. López, R.J. García Garczarczyk, M. Gasparyan, S. Gaug, M. Paiva, J.G. Giesbrecht Giglietto, N. Giordano, F. Gliwny, P. Godinović, N. Gradetzke, T. Grau, R. Green, D. Green, J.G. Günther, P. Hadasch, D. Hahn, A. Hassan, T. Heckmann, L. Herrera, J. Hrupec, D. Hütten, M. Imazawa, R. Ishio, K. Martínez, I. Jiménez Jormanainen, J. Kayanoki, T. Kerszberg, D. Kluge, G.W. Kobayashi, Y. Kouch, P.M. Kubo, H. Kushida, J. Láinez, M. Lamastra, A. Leone, F. Lindfors, E. Linhoff, L. Lombardi, S. Longo, F. López-Coto, R. López-Moya, M. López-Oramas, A. Loporchio, S. Lorini, A. Lyard, E. de Oliveira Fraga, B. Machado Majumdar, P. Makariev, M. Maneva, G. Manganaro, M. Mangano, S. Mannheim, K. Mariotti, M. Martínez, M. Martínez-Chicharro, M. Mas-Aguilar, A. Mazin, D. Menchiari, S. Mender, S. Miceli, D. Miener, T. Miranda, J.M. Mirzoyan, R. González, M. Molero Molina, E. Mondal, H.A. Moralejo, A. Morcuende, D. Nakamori, T. Nanci, C. Neustroev, V. Nickel, L. Rosillo, M. Nievas Nigro, C. Nikolić, L. The University of Tokyo Chiba Kashiwa277-8582 Japan ETH Zürich ZürichCH-8093 Switzerland Università di Siena INFN Pisa SienaI-53100 Italy Instituto de Astrofísica de Canarias and Dpto. de Astrofísica Universidad de La Laguna Tenerife La LagunaE-38200 Spain Universitat de Barcelona ICCUB IEEC-UB BarcelonaE-08028 Spain Instituto de Astrofísica de Andalucía-CSIC Glorieta de la Astronomía s/n Granada18008 Spain RomeI-00136 Italy Università di Udine INFN Trieste UdineI-33100 Italy Max-Planck-Institut für Physik GarchingD-85748 Germany Università di Padova INFN PadovaI-35131 Italy Bellaterra BarcelonaE-08193 Spain Zagreb10000 Croatia IPARCOS Institute EMFTEL Department Universidad Complutense de Madrid MadridE-28040 Spain URCA RJ Rio de Janeiro22290-180 Brazil University of Lodz Faculty of Physics and Applied Informatics Department of Astrophysics Lodz90-236 Poland Centro de Investigaciones Energéticas Medioambientales y Tecnológicas MadridE-28040 Spain Departament de Física CERES-IEEC Universitat Autònoma de Barcelona BellaterraE-08193 Spain Università di Pisa INFN Pisa PisaI-56126 Italy INFN MAGIC Group INFN Sezione di Bari Dipartimento Interateneo di Fisica dell’Università e del Politecnico di Bari BariI-70125 Italy Department for Physics and Technology University of Bergen Norway INFN MAGIC Group INFN Sezione di Torino Università degli Studi di Torino TorinoI-10125 Italy INFN MAGIC Group INFN Sezione di Catania Dipartimento di Fisica e Astronomia University of Catania CataniaI-95123 Italy Croatian MAGIC Group University of Rijeka Faculty of Physics Rijeka51000 Croatia Universität Würzburg WürzburgD-97074 Germany Technische Universität Dortmund DortmundD-44221 Germany University of Geneva Chemin d’Ecogia 16 VersoixCH-1290 Switzerland Japanese MAGIC Group: Physics Program Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima739-8526 Japan ZeuthenD-15738 Germany Armenia

The Lorentz Invariance Violation (LIV), a proposed consequence of certain quantum gravity (QG) scenarios, could instigate an energy-dependent group velocity for ultra-relativistic particles. This energy dependence, although suppressed by the massive QG energy scale EQG, expected to be on the level of the Planck energy 1.22 × 1019 GeV, is potentially detectable in astrophysical observations. In this scenario, the cosmological distances traversed by photons act as an amplifier for this effect. By leveraging the observation of a remarkable flare from the blazar Mrk 421, recorded at energies above 100 GeV by the MAGIC telescopes on the night of April 25 to 26, 2014, we look for time delays scaling linearly and quadratically with the photon energies. Using for the first time in LIV studies a binned-likelihood approach we set constraints on the QG energy scale. For the linear scenario, we set 95% lower limits EQG > 2.7×1017 GeV for the subluminal case and EQG > 3.6×1017 GeV for the superluminal case. For the quadratic scenario, the 95% lower limits for the subluminal and superluminal cases are EQG > 2.6 × 1010 GeV and EQG > 2.5 × 1010 GeV, respectively. Copyright © 2024, The Authors. All rights reserved.

关键词： Gamma rays

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