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847 results on '"Katsura A"'

1. Busshitsu in Photography: Using the Camera to Liberate Materiality in Conceptual Art in Japan and California in the 1960s and 1970s

Author: Katsura, Asako, Winther-Tamaki, Bert1, Katsura, Asako, Katsura, Asako, Winther-Tamaki, Bert1, and Katsura, Asako
Abstract: This dissertation analyzes photographic practices in Tokyo, Kobe, Kyoto, Yokohama, Los Angeles, and the San Francisco Bay Area, paradoxically illustrating the materiality of photographed objects through images presumed to be immaterial. I examine how photography was used to investigate the material operation of busshitsu––the Japanese term meaning “matter” in English. Busshitsu was examined in the artistic discourse developed between the mid 1950s and the early 1970s in Japan as the external material reality of things that unsettled modernist anthropocentrism. The dissertation analyzes the international emergence of conceptual photography, which illustrates the medium’s potential to produce ontological shifts by breaking down the hierarchy of relationships in the world and liberating artists from the limitations of their eyes, preconceptions, and languages that impose fixed meanings on the material environment. By investigating the visual and conceptual parallels between the less-studied photographic practices of Japanese artists, such as Takamatsu Jirō, Kinoshita Kazuyo, and Nomura Hitoshi, and American artists, such as Bruce Nauman, Jay DeFeo, and Judy Chicago, the dissertation aims to expand the scope of the study of the history of contemporary photography and shift the focus from the center-versus-periphery paradigm to the mapping of multiple localities. I contend that their works challenged the image-saturated world that embodied the domination of the American hegemonic-capitalist order that followed the Second World War. Ironically, this was accomplished through photography, the same medium that created that world.
Published: 2024

2. Disorder-free Sachdev-Ye-Kitaev models: Integrability and a precursor of chaos

Author: Ozaki, Soshun, Katsura, Hosho, Ozaki, Soshun, and Katsura, Hosho
Abstract: We introduce two disorder-free variants of the Sachdev-Ye-Kitaev (SYK) model, demonstrate their integrability, and study their static and dynamical properties. Unlike diagrammatic techniques, the integrability of these models allows us to obtain dynamical correlation functions even when the number of Majorana fermions is finite. From the solutions, we find that out-of-time-order correlators (OTOCs) in these models exhibit exponential growth at early times, resembling that of quantum chaotic systems such as those with disorder or external kick terms. Conversely, our analysis shows no evidence of random-matrix behavior in level statistics or the spectral form factor. Our findings illustrate that the clean versions of the SYK models represent simple but nontrivial examples of disorder-free quantum many-body systems displaying chaos-like behavior of OTOCs., Comment: 6 pages, 3 figures (Supplemental material: 16 pages, 6 figures)
Published: 2024

3. An interactive atlas of three-dimensional syndromic facial morphology.

Author: Aponte, J, Aponte, J, Bannister, Jordan, Hoskens, Hanne, Matthews, Harold, Katsura, Kaitlin, Da Silva, Cassidy, Cruz, Tim, Pilz, Julie, Spritz, Richard, Forkert, Nils, Claes, Peter, Bernier, Francois, Klein, Ophir, Katz, David, Hallgrímsson, Benedikt, Aponte, J, Aponte, J, Bannister, Jordan, Hoskens, Hanne, Matthews, Harold, Katsura, Kaitlin, Da Silva, Cassidy, Cruz, Tim, Pilz, Julie, Spritz, Richard, Forkert, Nils, Claes, Peter, Bernier, Francois, Klein, Ophir, Katz, David, and Hallgrímsson, Benedikt
Abstract: Craniofacial phenotyping is critical for both syndrome delineation and diagnosis because craniofacial abnormalities occur in 30% of characterized genetic syndromes. Clinical reports, textbooks, and available software tools typically provide two-dimensional, static images and illustrations of the characteristic phenotypes of genetic syndromes. In this work, we provide an interactive web application that provides three-dimensional, dynamic visualizations for the characteristic craniofacial effects of 95 syndromes. Users can visualize syndrome facial appearance estimates quantified from data and easily compare craniofacial phenotypes of different syndromes. Our application also provides a map of morphological similarity between a target syndrome and other syndromes. Finally, users can upload 3D facial scans of individuals and compare them to our syndrome atlas estimates. In summary, we provide an interactive reference for the craniofacial phenotypes of syndromes that allows for precise, individual-specific comparisons of dysmorphology.
Published: 2024

4. Sex chromosome cycle as a mechanism of stable sex determination

Author: Hayashi, Shun, Abe, Takuya, Igawa, Takeshi, Katsura, Yukako, Kazama, Yusuke, Nozawa, Masafumi, Hayashi, Shun, Abe, Takuya, Igawa, Takeshi, Katsura, Yukako, Kazama, Yusuke, and Nozawa, Masafumi
Abstract: Recent advances in DNA sequencing technology have enabled the precise decoding of genomes in non-model organisms, providing a basis for unraveling the patterns and mechanisms of sex chromosome evolution. Studies of different species have yielded conflicting results regarding the traditional theory that sex chromosomes evolve from autosomes via the accumulation of deleterious mutations and degeneration of the Y (or W) chromosome. The concept of the ‘sex chromosome cycle, ’ emerging from this context, posits that at any stage of the cycle (i.e., differentiation, degeneration, or loss), sex chromosome turnover can occur while maintaining stable sex determination. Thus, understanding the mechanisms that drive both the persistence and turnover of sex chromosomes at each stage of the cycle is crucial. In this review, we integrate recent findings on the mechanisms underlying maintenance and turnover, with a special focus on several organisms having unique sex chromosomes. Our review suggests that the diversity of sex chromosomes in the maintenance of stable sex determination is underappreciated and emphasizes the need for more research on the sex chromosome cycle.
Published: 2024

5. Association of Contrast Extravasation Grade With Massive Transfusion in Pediatric Blunt Liver and Spleen Injuries: A Multicenter Retrospective Cohort Study

Author: 60706703, Katsura, Morihiro, Fukuma, Shingo, Kuriyama, Akira, Kondo, Yutaka, Yasuda, Hideto, Matsushima, Kazuhide, Shiraishi, Atsushi, Kusaka, Akari, Nakabayashi, Yosuke, Yagi, Masayuki, Ito, Fumihito, Tanikawa, Atsushi, Kushimoto, Shigeki, 60706703, Katsura, Morihiro, Fukuma, Shingo, Kuriyama, Akira, Kondo, Yutaka, Yasuda, Hideto, Matsushima, Kazuhide, Shiraishi, Atsushi, Kusaka, Akari, Nakabayashi, Yosuke, Yagi, Masayuki, Ito, Fumihito, Tanikawa, Atsushi, and Kushimoto, Shigeki
Abstract: Background: This study aimed to assess whether the grade of contrast extravasation (CE) on CT scans was associated with massive transfusion (MT) requirements in pediatric blunt liver and/or spleen injuries (BLSI). Methods: This multicenter retrospective cohort study included pediatric patients (≤16 years old) who sustained BLSI between 2008 and 2019. MT was defined as transfusion of all blood products ≥40 mL/kg within the first 24 h of admission. Associations between CE and MT requirements were assessed using multivariate logistic regression analysis with cluster-adjusted robust standard errors to calculate the adjusted odds ratio (AOR). Results: A total of 1407 children (median age: 9 years) from 83 institutions were included in the analysis. Overall, 199 patients (14 %) received MT. CT on admission revealed that 54 patients (3.8 %) had CE within the subcapsular hematoma, 100 patients (7.1 %) had intraparenchymal CE, and 86 patients (6.1 %) had CE into the peritoneal cavity among the overall cohort. Multivariate analysis, adjusted for age, sex, age-adjusted shock index, injury severity, and laboratory and imaging factors, showed that intraparenchymal CE and CE into the peritoneal cavity were significantly associated with the need for MT (AOR: 2.50; 95 % CI, 1.50-4.16 and AOR: 4.98; 95 % CI, 2.75-9.02, respectively both p < 0.001). The latter significant association persisted in the subgroup of patients with spleen and liver injuries. Conclusion: Active CE into the free peritoneal cavity on admission CT was independently associated with a greater probability of receiving MT in pediatric BLSI. The CE grade may help clinicians plan blood transfusion strategies. Level of Evidence: Level 4; Therapeutic/Care management.
Published: 2024

6. A multiwavelength light curve model of the classical nova V339 Del: A mechanism for the coexistence of dust dip and supersoft X-rays

Author: Hachisu, Izumi, Kato, Mariko, Matsumoto, Katsura, Hachisu, Izumi, Kato, Mariko, and Matsumoto, Katsura
Abstract: The classical nova V339 Del 2013 is characterized by a 1.5 mag dip of the $V$ light curve owing to a dust shell formation, during which soft X-ray emissions coexist. We present Str\"omgren $y$ band light curve, which represents continuum emission, not influenced by strong [O III] emission lines. The $y$ light curve monotonically decreases in marked contrast to the $V$ light curve that shows a 1.5 mag dip. We propose a multiwavelength light curve model that reproduces the $y$ and $V$ light curves as well as the gamma-ray and X-ray light curves. In our model, a strong shock arises far outside the photosphere after optical maximum, because later ejected matter collides with earlier ejected gas. Our shocked shell model explains optical emission lines, H$\alpha$, hard X-ray, and gamma-ray fluxes. A dust shell forms behind the shock that suppresses [O III]. This low flux of [O III] shapes a 1.5 mag drop in the $V$ light curve. Then, the $V$ flux recovers by increasing contribution from [O III] lines, while the $y$ flux does not. However, the optical depth of the dust shell is too small to absorb the photospheric (X-ray) emission of the white dwarf. This is the reason that a dust shell and a soft X-ray radiation coexist. We determined the white dwarf mass to be $M_{\rm WD}=1.25\pm 0.05~M_\odot$ and the distance modulus in the $V$ band to be $(m-M)_V=12.2 \pm 0.2$; the distance is $d= 2.1\pm 0.2$ kpc for the reddening of $E(B-V)=0.18$., Comment: 26 pages, 11 figures. accepted for publication in ApJ
Published: 2024

7. Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Author: Adisa, A, Bahrami-Hessari, M, Bhangu, A, George, C, Ghosh, D, Glasbey, J, Haque, P, Ingabire, J, Kamarajah, S, Kudrna, L, Ledda, V, Li, E, Lillywhite, R, Mittal, R, Nepogodiev, D, Ntirenganya, F, Picciochi, M, Simões, J, Booth, L, Elliot, R, Kennerton, A, Pettigrove, K, Pinney, L, Richard, H, Tottman, R, Wheatstone, P, Wolfenden, J, Smith, A, Sayed, A, Goswami, A, Malik, A, Mclean, A, Hassan, A, Nazimi, A, Aladna, A, Abdelgawad, A, Saed, A, Abdelmageed, A, Ghannam, A, Mahmoud, A, Alvi, A, Ismail, A, Adesunkanmi, A, Ebrahim, A, Al-Mallah, A, Alqallaf, A, Durrani, A, Gabr, A, Kirfi, A, Altaf, A, Almutairi, A, Sabbagh, A, Ajiya, A, Haddud, A, Alnsour, A, Singh, A, Mittal, A, Semple, A, Adeniran, A, Negussie, A, Oladimeji, A, Muhammad, A, Yassin, A, Gungor, A, Tarsitano, A, Soibiharry, A, Dyas, A, Frankel, A, Peckham-Cooper, A, Truss, A, Issaka, A, Ads, A, Aderogba, A, Adeyeye, A, Ademuyiwa, A, Sleem, A, Papa, A, Cordova, A, Appiah-Kubi, A, Meead, A, Nacion, A, Michael, A, Forneris, A, Duro, A, Gonzalez, A, Altouny, A, Ghazal, A, Khalifa, A, Ozair, A, Quzli, A, Haddad, A, Othman, A, Yahaya, A, Elsherbiny, A, Nazer, A, Tarek, A, Abu-Zaid, A, Al-Nusairi, A, Azab, A, Elagili, A, Elkazaz, A, Kedwany, A, Nuhu, A, Sakr, A, Shehta, A, Shirazi, A, Mohamed, A, Sherif, A, Awad, A, Abbas, A, Abdelrahman, A, Ammar, A, Azzam, A, Ciftci, A, Dural, A, Sanli, A, Rahy-Martín, A, Tantri, A, Khan, A, Al-Touny, A, Tariq, A, Gmati, A, Costas-Chavarri, A, Auerkari, A, Landaluce-Olavarria, A, Puri, A, Radhakrishnan, A, Ubom, A, Pradhan, A, Turna, A, Adepiti, A, Kuriyama, A, Kassam, A, Hassouneh, A, El-Hussuna, A, Habeebullah, A, Mousli, A, Biloslavo, A, Hoang, A, Kirk, A, Santini, A, Melero, A, Calvache, A, Baduell, A, Chan, A, Abrate, A, Balduzzi, A, Sánchez, A, Navarrete-Peón, A, Porcu, A, Brolese, A, Barranquero, A, Saibene, A, Adam, A, Vagge, A, Maquilón, A, Leon-Andrino, A, Sekulić, A, Trifunovski, A, Mako, A, Bedada, A, Broglia, A, Coppola, A, Giani, A, Grandi, A, Iacomino, A, Moro, A, D’Amico, A, Malagnino, A, Tang, A, Doyle, A, Alfieri, A, Haynes, A, Wilkins, A, Baldwin, A, Heriot, A, Laird, A, Lazarides, A, O'Connor, A, Trulson, A, Rokohl, A, Caziuc, A, Triantafyllou, A, Anesi, A, Nikova, A, Andrianakis, A, Charalabopoulos, A, Tsolakidis, A, Chirca, A, Arnaud, A, Narvaez-Rojas, A, Kavalakat, A, Spina, A, Recordare, A, Annicchiarico, A, Conti, A, Mohammed, A, Kocataş, A, Almhimid, A, Arnaout, A, Fahmy, A, Mangi, A, Modabber, A, Ulas, A, Mohamedahmed, A, Frontali, A, Moynihan, A, Yunus, A, Ahmad, A, Kent, A, Khamees, A, Ugwu, A, Turan, A, Navarro-Barrios, A, Yebes, A, De Sousa, Á, Moreno, A, Sethi, A, Dawson, A, Kaur, A, Wolde, A, Antonelli, A, Scifo, A, Alhamad, A, Davis, A, Alderazi, A, Harky, A, Mohammed-Durosinlorun, A, Seguya, A, Okhakhu, A, Chamakhi, A, Sebai, A, Souadka, A, Asla, A, Agrawal, A, Persad, A, Gupta, A, Elgazar, A, Kulkarni, A, Coates, A, Bellés, A, Hadzibegovic, A, Jotic, A, Kowark, A, Martins, A, Pineda, A, Peral, A, Gollarte, A, Senent-Boza, A, Camarena, A, Castaño-Leon, A, Bravo, A, Musina, A, Tapia-Herrero, A, Kothari, A, Raja, A, Aljaiuossi, A, Taha, A, Majbar, A, Prodromidou, A, Kanatas, A, Gupte, A, Zakaria, A, Balla, A, Barberis, A, Bondurri, A, Bottari, A, Costantino, A, Figus, A, Lauretta, A, Mingoli, A, Romanzi, A, Sagnotta, A, Scacchi, A, Picchetto, A, Valadez, A, Luzzi, A, Älgå, A, Fontalis, A, Hecker, A, Demetriades, A, Serban, A, Văcărașu, A, Cokan, A, Isaza-Restrepo, A, Beamish, A, Schache, A, Stevenson, A, Yiu, A, Cockbain, A, Litvin, A, Abad-Motos, A, Becerra, A, Ramos, Á, Chiaradia, A, Dell, A, Romano, A, Pascale, A, Marra, A, Dimas, A, Kolias, A, Cerovac, A, Koneru, A, Tidjane, A, Agbeko, A, Bajaj, A, Gosain, A, Allan, A, Carreras-Castañer, A, D'Amore, A, Dare, A, Maffioli, A, Palepa, A, Paspala, A, Konney, A, Gatta, A, Ezanno, A, Yiallourou, A, Kinnair, A, Rayner, A, Scafa, A, Bowan, A, Veglia, A, Russo, A, Maniaci, A, Castaldi, A, Gil-Moreno, A, Maffuz-Aziz, A, Meola, A, Nenna, A, Ferrer, A, Bonilla, A, Ramos-De La Medina, A, Infante, A, Santoro, A, Laganà, A, Bateman, A, Abozid, A, Seidu, A, Lowery, A, Tantraworasin, A, Rasheed, A, Picciariello, A, Isik, A, Saif, A, Anjum, A, Ioannidis, A, Abeldaño, A, Hussain, A, Nathan, A, Bedzhanyan, A, Perfecto, A, De Virgilio, A, Galvan, A, Sablotzki, A, Böttcher, A, Pellacani, A, Gatti, A, Ibrahimli, A, Menon, A, Sahni, A, Mwenda, A, Choudhry, A, Jayawardane, A, Ramasamy, A, Mitul, A, Bawa, A, Nugur, A, Rammohan, A, Sachdeva, A, Mehraj, A, Yildirim, A, Alqaseer, A, Radwan, A, Sallam, A, Syllaios, A, Tampakis, A, Alwael, A, Samara, A, Eroglu, A, Rahman, A, Ulkucu, A, Zaránd, A, Dulskas, A, Tawiah, A, Zani, A, Vas, A, Lukosiute-Urboniene, A, Adamu, A, Aujayeb, A, İplikçi, A, Mahmud, A, Cil, A, Makanjuola, A, Akwaisah, A, Galandarova, A, Saracoglu, A, Regan, A, Barlas, A, Alhassan, B, Mostafa, B, Hamida, B, Torun, B, Abdullah, B, Balagobi, B, Banky, B, Singh, B, Alegbeleye, B, Yigit, B, Hajjaj, B, Burgos-Blasco, B, Seeliger, B, Alayande, B, Alhazmi, B, Enodien, B, Torre, B, Pérez, B, Tamayo, B, De Andrés-Asenjo, B, Quintana-Villamandos, B, Girgin, B, Barmayehvar, B, Beisenov, B, Creavin, B, Dunne, B, Marson, B, Waterson, B, Martin, B, Zucker, B, Wong, B, Ozmen, B, Hammond, B, Mbwele, B, Núñez, B, Dhondt, B, Gafsi, B, Mcleish, B, Lieske, B, Tailor, B, La Pira, B, Picardi, B, Zampogna, B, Casagranda, B, Festa, B, Panda, B, Kirmani, B, Sulaiman, B, Gurung, B, Zacharia, B, Bette, B, Ayana, B, Nikolovska, B, Vilaró, B, De Vega Sánchez, B, Hameed, B, Diaconescu, B, Kovacevic, B, Bumber, B, Sakakushev, B, Tadic, B, Malek, B, Alrayes, B, Thomas, B, Gális, B, Gallagher, B, Knowles, B, Cunningham, B, Daley, B, Mishra, B, Ashford, B, Pirozzi, B, Berselli, B, Martinez-Leo, B, Sensi, B, Nardo, B, Celik, B, Giray, B, Abud, B, Almiqlash, B, Pramesh, C, Taskiran, C, De Campos Prado, C, Cipolla, C, Kumar, C, English, C, Riccetti, C, Vanni, C, Brasset, C, Downey, C, Duffy, C, Chwat, C, Cutmore, C, Sars, C, Ratto, C, Pacilio, C, De La Infiesta García, C, Moreno, C, Magalhães, C, Prada, C, Zapata, C, Senni, C, Flumignan, C, Martinez-Perez, C, Duarte, C, Garcia, C, Anderson, C, Hing, C, Cullinane, C, Cina, C, Zabkiewicz, C, Sohrabi, C, Guldogan, C, Ciubotaru, C, Desai, C, Raut, C, Demetriou, C, Handford, C, Okpani, C, Paranjape, C, Koh, C, Khatri, C, Parmar, C, Mok, C, Caricato, C, Marafante, C, Echieh, C, Tan, C, Ong, C, Conso, C, Jardinez, C, Konrads, C, Warner, C, Makwe, C, Henein, C, Fleming, C, Roland, C, Maurus, C, Nitschke, C, Mittermair, C, Mallmann, C, Andro, C, Harmston, C, Kuppler, C, Lotz, C, Nahm, C, Rowe, C, Ryalino, C, Wallis, C, Millward, C, Anthoulakis, C, Apostolou, C, Chouliaras, C, Kalfountzos, C, Kaselas, C, Vosinakis, C, Okereke, C, Chean, C, Barlow, C, Tatar, C, Clancy, C, Forde, C, Sharpin, C, Mccarthy, C, Nestor, C, Warden, C, Ávila, C, Massaguer, C, Fang, C, Martins, C, Guerci, C, Mauriello, C, Holzmeister, C, Miller, C, Weber, C, Wiesinger, C, Kenington, C, Noel, C, Sue-Chue-Lam, C, Adumah, C, Neary, C, Sen, C, Fitzgerald, C, Ezeme, C, Nastos, C, Mesina, C, Bombardini, C, Torregrosa, C, Valdespino, C, Don, C, Wickramasinghe, D, Milanesi, D, Armijos, D, Asiimwe, D, Beswick, D, Clerc, D, Cox, D, Doherty, D, Martínez, D, Lechuga, D, Gero, D, Gil-Sala, D, Lindegger, D, Reim, D, Shaerf, D, Shmukler, D, Branzan, D, Filipescu, D, Rega, D, Bernardi, D, Bissacco, D, Fusario, D, Morezzi, D, Sabella, D, Zimak, D, Vinci, D, Sale, D, Khan, D, Thereska, D, Andreotti, D, Tartaglia, D, Abdulai, D, Mukherjee, D, Verdi, D, Idowu, D, John, D, Johnson, D, Moro-Valdezate, D, Naumann, D, Omar, D, Proud, D, Roberts, D, Guzmán, D, Watson, D, Bergkvist, D, Lumenta, D, Ferrari, D, Rizzo, D, Degarege, D, Castillo, D, Douglas, D, Wright, D, Nanjiani, D, Bratus, D, Altun, D, Sievers, D, Vaysburg, D, Katechia, D, Azize, D, Rodrigues, D, Pachajoa, D, Hayne, D, Mutter, D, Raimondo, D, Eskinazi, D, Sasia, D, Corallino, D, Muduly, D, Grewal, D, Hadzhiev, D, Peristeri, D, Pournaras, D, Raptis, D, Angelou, D, Haidopoulos, D, Magouliotis, D, Moris, D, Schizas, D, Symeonidis, D, Tsironis, D, Korkolis, D, Tatsis, D, Thekkinkattil, D, Bulian, D, Pandey, D, Vatansever, D, Parker, D, Wiedemann, D, Borselle, D, Pedini, D, Schweitzer, D, Venskutonis, D, Otokwala, J, Adamu, K, Pk, P, Garod, M, Ellafi, A, Zivkovic, D, Jelovac, D, Wijeysundera, D, Mcpherson, D, Ryan, É, Ugwu, E, Baidoo, E, Shaddad, E, Memişoğlu, E, Naranjo, E, Brodkin, E, Segalini, E, Viglietta, E, Hendriks, E, Bonci, E, Sá-Marta, E, Ortega, E, Gomez, E, Joviliano, E, Clune, E, Horwell, E, Mains, E, Vasarhelyi, E, Caruana, E, Nevins, E, Yenli, E, Baili, E, Lostoridis, E, Morgan, E, Shiban, E, Latif, E, Tampaki, E, Ezenwa, E, Irune, E, Borg, E, Eisa, E, Gialamas, E, Parvez, E, Theophilidou, E, Toma, E, Arnaoutoglou, E, Samadov, E, Kantor, E, Ulman, E, Colak, E, Cassinotti, E, Bannone, E, Sarjanoja, E, Yates, E, Vincent, E, Lun, E, Cerovac, E, Dif, E, Alkhalifa, E, Daketsey, E, Fayad, E, Sheikh, E, Pontecorvi, E, Cammarata, E, La Corte, E, Rausa, E, Odai, E, Guasch, E, Cano-Trigueros, E, Uldry, E, Ros, E, Matthews, E, Donmez, E, Giorgakis, E, Kapetanakis, E, Stamatakis, E, Bua, E, Schneck, E, Nachelleh, E, Ofori, E, Akin, E, Gönüllü, E, Kirkan, E, Çelik, E, Wong, E, Capozzi, E, Pinotti, E, Colás-Ruiz, E, González, E, Fekaj, E, Ohazurike, E, Kebede, E, Erginöz, E, Duran, E, Scott, E, Aytac, E, Albanese, E, Castro, E, Albayadi, E, Kriem, E, Siddig, E, Otify, E, El Tayeb, E, Hong, E, Saguil, E, Belzile, E, Tuyishime, E, Panieri, E, Martínez, E, Myriokefalitaki, E, Samara, E, Agbeno, E, Drozdov, E, Tokidis, E, Shah, F, Barra, F, Carbone, F, Ferreli, F, Marino, F, Martinelli, F, D'Acapito, F, Masciello, F, Bàmbina, F, Issa, F, Salameh, F, Kethy, F, Mahmood, F, Gareb, F, Idrees, F, Karimian, F, Ashraf, F, Haji, F, Inayat, F, Begum, F, Nabil, F, Rosa, F, Haider, F, Parray, F, Calculli, F, Ferracci, F, Saraceno, F, Coppola, F, Coccolini, F, Fusini, F, Migliorelli, F, Pecoraro, F, Alconchel, F, Coimbra, F, Trivik-Barrientos, F, Naegele, F, Almarshad, F, Agresta, F, Fleming, F, Mendoza-Moreno, F, Brzeszczyński, F, Carannante, F, Wu, F, Aljanadi, F, Hayati, F, Campo, F, Sorbi, F, Milana, F, Takeda, F, Shekleton, F, Gessler, F, Recker, F, Grama, F, Cherbanyk, F, Faponle, F, Angelis, F, Calabretto, F, Gaino, F, Toia, F, Bianco, F, Bussu, F, Cammarata, F, Castagnini, F, Colombo, F, Ferrara, F, Fleres, F, Guerrera, F, Litta, F, Mongelli, F, Pata, F, Roscio, F, Mulita, F, Ardura, F, Tejero-Pintor, F, Calvo, F, Escobedo, F, Camacho, F, Odicino, F, Schmitt, F, Bloemers, F, Hölzle, F, Gyamfi, F, Messner, F, Koh, F, Cáceres, F, Smolle-Juettner, F, Herman, F, Ayeni, F, Djedovic, G, De Oliveira, G, Rodrigues, G, Wagner, G, Bellio, G, Giarratano, G, Capolupo, G, Budd, G, Marom, G, Poillucci, G, Thiruchandran, G, Nicholson, G, Groot, G, Hoey, G, Bass, G, Sachdev, G, Agarwal, G, Aggarwal, G, Cormio, G, Mazzarella, G, Perrone, G, 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Lombardi, Raffaele, Vidya, Raghavan, Elboraei, Rahma, Saaid, Rahmah, Ghodke, Rahul, Gupta, Rahul, Sharma, Rahul Deo, Lunevicius, Raimundas, Kalayarasan, Raja, Mohan, Rajashekar, Singh, Rajdeep, Sivaprakasam, Rajesh, Seenivasagam, Rajkumar Kottayasamy, Rajendram, Rajkumar, Radulescu, Raluca Bievel, Goicea, Raluca, Seshadri, Ramakrishnan Ayloor, Sarı, Ramazan, Nataraja, Ramesh, Aslam, Ramisha, Abdelemam, Rania, Shrestha, Rashmit, Bharathan, Rasiah, Pellini, Raul, Guevara, Raul, Agarwal, Ravi, Vissapragada, Ravi, Alharmi, Rawan Arahman, Sayyed, Raza, Browning, Rebecca, Critchley, Rebecca, Mallick, Rebecca, Alarabi, Rehab, Beron, Reinaldo Isaacs, Függer, Reinhold, Othman, Rema, Saad, Rema, Amores, Remedios Revilla, Colombari, Renan Carlo, Radivojević, Renata Curic, Patrone, Renato, Novysedlák, René, Huatuco, René Manuel Palacios, Baertschiger, Reto, Liang, Rhea, Luckwell, Rhys, Escrevente, Ricardo, Rezende, Ricardo Fernandes, Cruz, Ricardo Pedrini, Lenzi, Riccardo, Rosati, Riccardo, Donovan, Richard, Egan, Richard, Morris, Richard, Page, Richard, Seglenieks, Richard, Unsworth, Richard, Wilkin, Richard, Skipworth, Richard Je, Davies, Richard Justin, Bezirci, Rifat, Talwar, Rishi, Azami, Rizwan, Bohmer, Rob, Crichton, Robert, Fruscio, Robert, Hooker, Robert, Jach, Robert, Parker, Robert, Pillerstorff, Robert, Sinnerton, Robert, Stabler, Robert, O'connell, Robert Michael, Ragozzino, Roberta, Tutino, Roberta, Angelico, Roberta, Cammarata, Roberto, Colasanti, Roberto, Macchiavello, Roberto, Peltrini, Roberto, Pirrello, Roberto, Vaschetti, Roberto, Pires, Robinson Esteves, Papalia, Rocco, Arrangoiz, Rodrigo, Hompes, Roel, Salah, Rokeya, Pinto, Romina, Flumignan, Ronald, Callan, Rory, Cuthbert, Rory, Dennis, Rory, Scaramuzzo, Rosa, Macías, Rosa Montero, Sánchez, Rosa, Ogu, Rosemary, Ramely, Rosnelifaizur, Sgarzani, Rossella, Ramli, Roszalina, Hillier, Roxane, Thumbadoo, Ruben, Ooi, Rucira, Abdus-Salam, Rukiyat, Masri, Ruqaya, Hodgson, Russell, Mathew, Ryan, Wade, Ryckie, D'archi, Sabatino, Khan, Sabina, Ngaserin, Sabrina, Kale, Sachin, Hassan, Sadiq, Merghani, Safa, Benamar, Safia, Muhammad, Sagir, Badran, Saif, Elsahli, Saifaleslam, Heta, Saimir, Hammouche, Salah, Baeesa, Saleh, Paiella, Salvatore, Eldeen, Samaher Taj Eldeen Hassan Taj, Arkani, Samara, Mittal, Samarth, Hirji, Sameer, Tebha, Sameer, Emile, Sameh, Dbouk, Samer, Bandyopadhyay, Samik Kumar, Muhammad, Saminu, Olori, Samson, Asirifi, Samuel Amoako, Hailu, Samuel, Ling, Samuel, Newman, Samuel, Ross, Samuel, Wanjara, Samuel, Kumar, Sandip, Seneviratne, Sanjeewa, Tamburello, Sara, Suarez, Sara Busto, Ingallinella, Sara, Irshaidat, Sara, Konswa, Sara, Mambrilla, Sara, Nasser, Sara, Parini, Sara, Pitoni, Sara, Ornaghi, Sara, Rodrigues, Sara Castanheira, Abdelmohsen, Sarah, Aitken, Sarah, Tian, Sarah, Badiani, Sarit, Ahmad, Sarwat, Swed, Sarya, Muthu, Sathish, Lakpriya, Sathya, Alzahrani, Saud, Mikalauskas, Saulius, Lasrado, Savita, Satoskar, Savni, Bawa, Sayesha, Altiner, Saygin, Garcia, Sean, Stevens, Sean, Demir, Sebahattin, Ken-Amoah, Sebastian, Tranca, Sebastian, Ziemann, Sebastian, Awad, Selmy, Atici, Semra Demirli, Subramaniam, Sentilnathan, Erel, Serap, Jiang, Serena, Efetov, Sergey, Efremov, Sergey, Katorkin, Sergey, Valladares, Sergio Chávez, Contreras, Sergio Marcos, Meriç, Serhat, Zenger, Serkan, Safi, Seyer, Leventoğlu, Sezai, Elsalhawy, Shady, Shaikh, Shafaque, Sheik, Shahila, Islam, Shahnoor, Shamim, Shahzad, Waqar, Shahzad Hussain, Ahmad, Shahzaib, Farid, Shahzaib, Seraj, Shaikh Sanjid, Sundarraju, Shalini, Karandikar, Sharad, Sambhwani, Sharan, Chopra, Sharat, Chowdhury, Sharfuddin, Laura, Sharon, Ahmed, Sharwany, Wason, Shaun, Tan, Shawn Jia Hwang, Fraser, Sheila, Williams, Shekinah, Ghozy, Sherief, Abdelmawgoud, Sherif, Shehata, Sherif, Sharma, Shilpa, Ahmed, Shima, Al-Touny, Shimaa A, Ramzanali, Shireen, Nah, Shireen Anne, Jansen, Shirley, Rajan, Shiv, Dindyal, Shiva, Amin, Shivang, Ahmad, Shoaib, Shoukrie, Shoukrie I M, Karar, Shoura, Patkar, Shraddha, Abdulsalam, Shuaib, Lin, Shuxun, Hegde, Siddhi, Fiorelli, Silvia, Quaresima, Silvia, Redondo, Silvia Villacé, Palmisano, Silvia, Ruggiero, Silvia, Balogun, Simon, Cais, Simon, Cole, Simon, Federer, Simon, Le Roux, Simon, Ippoliti, Simona, Meneghini, Simona, Viola, Simona, Manfredelli, Simone, Novello, Simone, Gananadha, Sivakumar, Mesli, Smain Nabil, Kale, Smruti, Tani, Sobhana Iftekhar, Malik, Sobia, Anastasiadou, Sofia, Boligo, Sofia, Esposito, Sofia, Valanci, Sofia, Xenaki, Sofia, Pejkova, Sofija, Bandyopadhyay, Soham, Trungu, Sokol, Basu, Somprakas, Alkhatib, Sondos, Pérez-Bertólez, Sonia, Flores, Sonia Lopez, Donoghue, Sophie, Lunca, Sorinel, Orsoo, Soyombo, Potamianos, Spyridon, Devarakonda, Sreekar, Suresh, Sreelakshmi, Croghan, Stefanie M, Turi, Stefano, Capella, Stefano, Lucchini, Stefano, Magnone, Stefano, Salizzoni, Stefano, Scabini, Stefano, Scaringi, Stefano, Cioffi, Stefano Piero Bernardo, Seyfried, Steffen, Degener, Stephan, Potten, Stephanie, Taha-Mehlitz, Stephanie, Ali, Stephen, Angamuthu, Stephen, Mcaleer, Stephen, Knight, Stephen Richard, White, Stuart, Mantziari, Styliani, Kykalos, Stylianos, Goh, Su Kah, Chowdhury, Subhadip Pal, Ibrahim, Sufyan, Elzwai, Suha, Bansal, Sujesh, Tripathy, Sujit, Amrayev, Sultan, Anwar, Sumadi Lukman, Banerjee, Sumit, Thakar, Sumit, Saeed, Summaya, Venkatappa, Sunil Kumar, Das, Sunit, Techapongsatorn, Suphakarn, Dube, Surya Kumar, Lee, Susan, González-Suárez, Susana, Henriques, Susana, Konjevoda, Suzana, Gisbertz, Suzanne, Bravo, Sybil Lizanne, Mannan, Syed, Bukhari, Syed Imran, Zafar, Syed Nabeel, Batista, Sylvia, Chin, Synn Lynn, Arif, Tahera, Lawal, Taiwo Akeem, Aktokmakyan, Talar Vartanoglu, Osborn, Tamara, Szakmany, Tamas, Sztipits, Tamás, Triantafyllou, Tania, Valadez, Tania Abigail Cueto, Singh, Tanveer, Khaliq, Tanwir, Patel, Tapan, Fadalla, Tarig, Jichi, Tarik, Sammour, Tarik, Al-Shaiji, Tariq, Naggs, Taryn, Barišić, Tatjana, Nikolouzakis, Taxiarchis, Bisgin, Tayfun, Perra, Teresa, Uprak, Tevfik Kıvılcım, Dagklis, Themistoklis, Liakakos, Theodore, Sidiropoulos, Theodoros, Adjeso, Theophilus Justus Kofi, Dölker, Theresa, Oung, Thida, Aherne, Thomas, Diehl, Thomas, Pinkney, Thomas, Raymond, Thomas, Rhomberg, Thomas, Schmitz-Rixen, Thomas, Madhuri, Thumuluru Kavitha, Lohmann, Tibor Karl, Yeoh, Tien, Zaimis, Tilemachos, Bright, Tim, Vilz, Tim O, Glowka, Tim R, Board, Timothy, Hardcastle, Timothy, Cohnert, Tina, Mahečić, Tina Tomić, William, Tinka George, Klatte, Tobias, Abbott, Tom, Watcyn-Jones, Tom, Mendes, Tome, Kulis, Tomislav, Sečan, Tomislav, Campagnaro, Tommaso, Frisoni, Tommaso, Simoncini, Tommaso, Violante, Tommaso, Safranovs, Toms Janis, Risteski, Toni, Pang, Tony, Akinyemi, Tosin, Yotsov, Tsanko, Laeke, Tsegazeab, Kochiyama, Tsukasa, Sholadoye, Tunde T, Alekberli, Tural, Ezomike, Uchechukwu, Giustizieri, Ugo, Grossi, Ugo, Köksoy, Ülkü Ceren, Bork, Ulrich, Kisser, Ulrich, Ronellenfitsch, Ulrich, Saeed, Umar, Bracale, Umberto, Jayarajah, Umesh, Rauf, Umme Habiba Abdul, Bumbasirevic, Uros, Ferrer, Ursula María Jariod, Ahmed, Usama, Bello, Usman Mohammed, Jogiat, Uzair, Sadia, Uzma, Galandarov, Vagif, Narayanan, Vairavan, Calu, Valentin, Bianchi, Valentina, Ciniero, Valeria, Tonini, Valeria, Silvestri, Vania, Vijay, Vardhini, Dewan, Varun, Lohsiriwat, Varut, Thuduvage, Vasanthika, Mousafeiris, Vasileios, Dragisic, Vedran, Sasireka, Veerasamy, Santric, Veljko, Kusuma, Venkata Ramana Murthy, Kolli, Venkata Satish, Alonso, Veronica, De Simone, Veronica, Picotti, Veronica, Martínez, Verónica Martín, Panduro-Correa, Vicky, Kakotkin, Victor, Angulo, Victor Pinto, Turrado-Rodriguez, Victor, Krishnamoorthy, Vijay, Ban, Vin Shen, Shah, Vinay, Maiola, Vincenza, Giordano, Vincenzo, La Vaccara, Vincenzo, Lizzi, Vincenzo, Papagni, Vincenzo, Schiavone, Vincenzo, Satchithanantham, Vinojan, Garcia-Virto, Virginia, Jimenez, Virginia, Kumar, Vishal, Shelat, Vishal, Bhat, Vivek, Sodhai, Vivek, Graziadei, Vivien, Kutuzov, Vladislav, Stoyanov, Vladislav, Oktseloglou, Vlasios, Flis, Vojko, Elhassan, Wael Atif Fadl, Yang, Wah, Soon, Wai Cheong, Tashkandi, Wail, Al-Khyatt, Waleed, Mabood, Waleed, Bijou, Walid, Wijenayake, Wasantha, D, Wasim, Krawczyk, Wiktor, Atkins, William, Bolton, William, White, William, Ceelen, Wim, Vagena, Xanthoula, Gozal, Yaacov, Baba, Yabasin Iddrisu, Subramani, Yamini, Jansen, Yanina, Mittal, Yash, Kara, Yasi̇n, Zwain, Yasir, Noureldin, Yasser, Alawneh, Yazan, Aydin, Yener, Lam, Yick Ho, Tang, Yita, Lim, Yizhe, Dean, Yomna, Tanas, Yousef, Su, Yu-Xiong, Fujimoto, Yuki, Altinel, Yuksel, Frolova, Yulia, Oshodi, Yusuf, Fadel, Zahir T, Zahid, Zahra, Elahi, Zain, Djama, Zakarya, Zaheen, Zakia, Jawad, Zaynab, Demetrashvili, Zaza, Gebremeskel, Zersenay, Gudisa, Zewdie, Alyami, Ziyad, Garoufalia, Zoe, Li, Zoe, Zimak, Zoran, Radin, Zorana, and Balogh, Zsolt J
Abstract: Background: Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods: This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was coprioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low-middle-income countries. Results: In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of 'single-use' consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low-middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion: This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high- and low-middle-income countries.
Published: 2023

8. WDR72 regulates vesicle trafficking in ameloblasts.

Author: Katsura, Kaitlin, Katsura, Kaitlin, Nakano, Yukiko, Zhang, Yan, Shemirani, Rozana, Li, Wu, Den Besten, Pamela, Katsura, Kaitlin, Katsura, Kaitlin, Nakano, Yukiko, Zhang, Yan, Shemirani, Rozana, Li, Wu, and Den Besten, Pamela
Abstract: As the hardest tissue in the human body, tooth enamel formation is a highly regulated process involving several stages of differentiation and key regulatory genes. One such gene, tryptophan-aspartate repeat domain 72 (WDR72), has been found to cause a tooth enamel defect when deleted or mutated, resulting in a condition called amelogenesis imperfecta. Unlike the canonical genes regulating tooth development, WDR72 remains intracellularly and is not secreted to the enamel matrix space to regulate mineralization, and is found in other major organs of the body, namely the kidney, brain, liver, and heart. To date, a link between intracellular vesicle transport and enamel mineralization has been suggested, however identification of the mechanistic regulators has yet to be elucidated, in part due to the limitations associated with studying highly differentiated ameloblast cells. Here we show compelling evidence that WDR72 regulates endocytosis of proteins, both in vivo and in a novel in vitro ameloblast cell line. We elucidate WDR72's function to be independent of intracellular vesicle acidification while still leading to defective enamel matrix pH extracellularly. We identify a vesicle function associated with microtubule assembly and propose that WDR72 directs microtubule assembly necessary for membrane mobilization and subsequent vesicle transport. Understanding WDR72 function provides a mechanistic basis for determining physiologic and pathologic tissue mineralization.
Published: 2022

9. WDR72 regulates vesicle trafficking in ameloblasts.

Author: Katsura, Kaitlin, Katsura, Kaitlin, Nakano, Yukiko, Zhang, Yan, Shemirani, Rozana, Li, Wu, Den Besten, Pamela, Katsura, Kaitlin, Katsura, Kaitlin, Nakano, Yukiko, Zhang, Yan, Shemirani, Rozana, Li, Wu, and Den Besten, Pamela
Abstract: As the hardest tissue in the human body, tooth enamel formation is a highly regulated process involving several stages of differentiation and key regulatory genes. One such gene, tryptophan-aspartate repeat domain 72 (WDR72), has been found to cause a tooth enamel defect when deleted or mutated, resulting in a condition called amelogenesis imperfecta. Unlike the canonical genes regulating tooth development, WDR72 remains intracellularly and is not secreted to the enamel matrix space to regulate mineralization, and is found in other major organs of the body, namely the kidney, brain, liver, and heart. To date, a link between intracellular vesicle transport and enamel mineralization has been suggested, however identification of the mechanistic regulators has yet to be elucidated, in part due to the limitations associated with studying highly differentiated ameloblast cells. Here we show compelling evidence that WDR72 regulates endocytosis of proteins, both in vivo and in a novel in vitro ameloblast cell line. We elucidate WDR72's function to be independent of intracellular vesicle acidification while still leading to defective enamel matrix pH extracellularly. We identify a vesicle function associated with microtubule assembly and propose that WDR72 directs microtubule assembly necessary for membrane mobilization and subsequent vesicle transport. Understanding WDR72 function provides a mechanistic basis for determining physiologic and pathologic tissue mineralization.
Published: 2022

10. Regional Disparity in First-in-Class Anticancer Drug Development in the US, EU, and Japan

Author: Hino, Yoshitsugu, Okada, Miu, Hallgreen, Christine Erikstrup, De Bruin, Marie Louise, Doty, Randell E., Matsumaru, Naoki, Tsukamoto, Katsura, Hino, Yoshitsugu, Okada, Miu, Hallgreen, Christine Erikstrup, De Bruin, Marie Louise, Doty, Randell E., Matsumaru, Naoki, and Tsukamoto, Katsura
Abstract: A cancer diagnosis is devastating for both patients and their caregivers. With high morbidity and mortality, cancer is a serious disease area with unmet medical needs. Thus, innovative anticancer drugs are in high demand worldwide but are unequally available. Our study focused on first-in-class (FIC) anticancer drugs and investigated their actual development situation in the United States (US), European Union (EU), and Japan over the last two decades to obtain fundamental information for understanding how the aforementioned demands are met, especially to eliminate drug lags among regions. We identified FIC anticancer drugs using pharmacological classes for the Japanese drug pricing system. Most FIC anticancer drugs were first approved in the US. The median approval time for anticancer drugs in new pharmacological classes during the last two decades in Japan (5072d) was significantly different (p=0.043) from that in the US (4253d), though it was not significantly different from that in the EU (4655d). Submission and approval lags between the US and Japan were more than 2.1 years, and those between the EU and Japan were more than 1.2 years. However, those between the US and the EU were less than 0.8 years. The development rate of FIC anticancer drugs in Japan is slower than in other regions. Even among developed countries, FIC anticancer drug lags exist. Considering the high impact of FIC anticancer drugs on society worldwide, we should work together to reduce drug lag among regions using an improved international cooperative framework.
Published: 2023

11. Biomass estimation of World rice (Oryza sativa L.) core collection based on the convolutional neural network and digital images of canopy

Author: 20432338, 30154363, Nakajima, Kota, Tanaka, Yu, Katsura, Keisuke, Yamaguchi, Tomoaki, Watanabe, Tomoya, Shiraiwa, Tatsuhiko, 20432338, 30154363, Nakajima, Kota, Tanaka, Yu, Katsura, Keisuke, Yamaguchi, Tomoaki, Watanabe, Tomoya, and Shiraiwa, Tatsuhiko
Abstract: Above-ground biomass (AGB) is an important indicator of crop productivity. Destructive measurements of AGB incur huge costs, and most non-destructive estimations cannot be applied to diverse cultivars having different canopy architectures. This insufficient access to AGB data has potentially limited improvements in crop productivity. Recently, a deep learning technique called convolutional neural network (CNN) has been applied to estimate crop AGB due to its high capacity for digital image recognition. However, the versatility of the CNN-based AGB estimation for diverse cultivars is still unclear. We established and evaluated a CNN-based estimation method for rice AGB using digital images with 59 diverse cultivars which were mostly in World Rice Core Collection. Across two years at two locations, we took 12, 183 images of 59 cultivars with commercial digital cameras and manually obtained their corresponding AGB. The CNN model was established by using 28 cultivars and showed high accuracy (R2 = 0.95) to the test dataset. We further evaluated the performance of the CNN model by using 31 cultivars, which were not in the model establishment. The CNN model successfully estimated AGB when the observed AGB was lesser than 924 g m−2 (R2 = 0.87), whereas it underestimated AGB when the observed AGB was greater than 924 g m−2 (R2 = 0.02). This underestimation might be improved by adding training data with a greater AGB in further study. The present study indicates that this CNN-based estimation method is highly versatile and could be a practical tool for monitoring crop AGB in diverse cultivars.
Published: 2023

12. Deep learning enables instant and versatile estimation of rice yield using ground-based RGB images

Author: 20432338, 10943574, Tanaka, Yu, Watanabe, Tomoya, Katsura, Keisuke, Tsujimoto, Yasuhiro, Takai, Toshiyuki, Tanaka, Takashi Sonam Tashi, Kawamura, Kensuke, Saito, Hiroki, Homma, Koki, Mairoua, Salifou Goube, Ahouanton, Kokou, Ibrahim, Ali, Senthilkumar, Kalimuthu, Semwal, Vimal Kumar, Matute, Edurado Graterol, Corredor, Edgar, El-Namaky, Raafat, Manigbas, Norbie L., Quilang, Edurado Jimmy P., Iwahashi, Yu, Nakajima, Kota, Takeuchi, Eisuke, Saito, Kazuki, 20432338, 10943574, Tanaka, Yu, Watanabe, Tomoya, Katsura, Keisuke, Tsujimoto, Yasuhiro, Takai, Toshiyuki, Tanaka, Takashi Sonam Tashi, Kawamura, Kensuke, Saito, Hiroki, Homma, Koki, Mairoua, Salifou Goube, Ahouanton, Kokou, Ibrahim, Ali, Senthilkumar, Kalimuthu, Semwal, Vimal Kumar, Matute, Edurado Graterol, Corredor, Edgar, El-Namaky, Raafat, Manigbas, Norbie L., Quilang, Edurado Jimmy P., Iwahashi, Yu, Nakajima, Kota, Takeuchi, Eisuke, and Saito, Kazuki
Abstract: Rice (Oryza sativa L.) is one of the most important cereals, which provides 20% of the world’s food energy. However, its productivity is poorly assessed especially in the global South. Here, we provide a first study to perform a deep-learning-based approach for instantaneously estimating rice yield using red-green-blue images. During ripening stage and at harvest, over 22, 000 digital images were captured vertically downward over the rice canopy from a distance of 0.8 to 0.9 m at 4, 820 harvesting plots having the yield of 0.1 to 16.1 t·ha⁻¹ across 6 countries in Africa and Japan. A convolutional neural network applied to these data at harvest predicted 68% variation in yield with a relative root mean square error of 0.22. The developed model successfully detected genotypic difference and impact of agronomic interventions on yield in the independent dataset. The model also demonstrated robustness against the images acquired at different shooting angles up to 30° from right angle, diverse light environments, and shooting date during late ripening stage. Even when the resolution of images was reduced (from 0.2 to 3.2 cm·pixel−1 of ground sampling distance), the model could predict 57% variation in yield, implying that this approach can be scaled by the use of unmanned aerial vehicles. Our work offers low-cost, hands-on, and rapid approach for high-throughput phenotyping and can lead to impact assessment of productivity-enhancing interventions, detection of fields where these are needed to sustainably increase crop production, and yield forecast at several weeks before harvesting.
Published: 2023

13. Therapeutic strategies for pseudoaneurysm following blunt liver and spleen injuries: a multicenter cohort study in the pediatric population

Author: 60706703, Katsura, Morihiro, Kondo, Yutaka, Yasuda, Hideto, Fukuma, Shingo, Matsushima, Kazuhide, Shiraishi, Atsushi, Tsuchiya, Asuka, Kuriyama, Akira, Gima, Masafumi, Hayashida, Kazuyuki, Miura, Naoya, Sugiura, Kenta, Toma, Keiichiro, Yasumatsu, Hiroshi, Kushimoto, Shigeki, 60706703, Katsura, Morihiro, Kondo, Yutaka, Yasuda, Hideto, Fukuma, Shingo, Matsushima, Kazuhide, Shiraishi, Atsushi, Tsuchiya, Asuka, Kuriyama, Akira, Gima, Masafumi, Hayashida, Kazuyuki, Miura, Naoya, Sugiura, Kenta, Toma, Keiichiro, Yasumatsu, Hiroshi, and Kushimoto, Shigeki
Abstract: BACKGROUND: Little guidance exists for the treatment of pseudoaneurysm following pediatric blunt liver and/or spleen injuries (BLSI). We aimed to describe the incidence of delayed pseudoaneurysm development and the subsequent clinical course of pseudoaneurysm in pediatric BLSI. METHODS: This multicenter retrospective cohort study from Japan included pediatric patients (≤16 years old) who sustained BLSI from 2008 to 2019. The cohort was divided into four groups based on hemostatic intervention within 48 hours of admission, namely non-operative management (NOM), NOM with interventional radiology (IR), operative management (OM), and combined IR/OM. Descriptive statistics were used to describe the incidence of delayed pseudoaneurysm among the groups and to characterize the clinical course of any pseudoaneurysms. RESULTS: A total of 1, 407 children (median age, 9 years) from 83 institutions were included. The overall number (incidence) of cases of delayed pseudoaneurysm formation was 80 (5.7%), and the number with delayed pseudoaneurysm rupture was 16 (1.1%) cases in the entire cohort. Patients treated with NOM (1056), NOM with IR (276), OM (53), and combined IR/OM (22) developed 43 (4.1%), 32 (12%), 2 (3.8%), and 3 (14%) delayed pseudoaneurysms, respectively. Among patients who developed any pseudoaneurysms, 39% of patients underwent prophylactic IR for unruptured pseudoaneurysm, while 13% required emergency angioembolization for delayed pseudoaneurysm rupture, with one ruptured case requiring total splenectomy. At least 45% of patients experienced spontaneous resolution of pseudoaneurysm without any interventions. CONCLUSION: Our results suggest that the risk of delayed pseudoaneurysm still exists even after acute phase IR as an adjunct to NOM for BLSI in children, indicating the necessity of a period of further observation. While endovascular interventions are usually successful for pseudoaneurysm management, including rupture cases, given the high incidence of sponta
Published: 2023

14. Regional disparity in first-in-class anticancer drug development in the US, EU, and Japan

Author: Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Hino, Yoshitsugu, Okada, Miu, Hallgreen, Christine Erikstrup, De Bruin, Marie Louise, Doty, Randell E, Matsumaru, Naoki, Tsukamoto, Katsura, Afd Pharmacoepi & Clinical Pharmacology, Pharmacoepidemiology and Clinical Pharmacology, Hino, Yoshitsugu, Okada, Miu, Hallgreen, Christine Erikstrup, De Bruin, Marie Louise, Doty, Randell E, Matsumaru, Naoki, and Tsukamoto, Katsura
Published: 2023

15. Evaluating Long-Term Performance of a Residential Ground-Source Heat Pump System under Climate Change in Cold and Warm Cities of Japan

Author: Sakata, Yoshitaka, Akeyama, Yuma, 1000060552411, Katsura, Takao, 1000080208032, Nagano, Katsunori, Sakata, Yoshitaka, Akeyama, Yuma, 1000060552411, Katsura, Takao, 1000080208032, and Nagano, Katsunori
Abstract: A residential ground-source heat pump system often requires a long payback time to recover the capital cost. Long-term uncertainty in such a system's performance increases as the climate changes. This study compares 20-years hourly heating/cooling demands of a typical residence in the present (2000-2020) and in the future (2076-2095) for two locations in Japan. This study also calculated soil temperatures as heat sources through 1D heat-transfer simulation based on the A1B climate scenario in the Intergovernmental Panel on Climate Change's Special Report. System performance and simple payback times were compared in one cold and one warm city in Japan (Sapporo and Tokyo, respectively). Soil temperatures at a middle depth of a borehole heat exchanger were predicted to increase in the future by similar to 1 degrees C, with insignificant effects on a borehole heat exchanger. Seasonal performance factors increased in Sapporo because thermal demands would be kept even in the future, but decreased in Tokyo, which has a higher ratio of the energy used in operating the system in cooling mode compared with its small heating demand. The simple payback time was estimated at 16.2 and >20 years in Sapporo and Tokyo, respectively, both in the present and future, with the constant energy prices. If oil and gas prices doubled, the payback time would be halved in Sapporo to 8.4 years but remain around 20 years or more in Tokyo.
Published: 2023

16. Biomass estimation of World rice (Oryza sativa L.) core collection based on the convolutional neural network and digital images of canopy

Author: Nakajima, Kota, Tanaka, Yu, Katsura, Keisuke, Yamaguchi, Tomoaki, Watanabe, Tomoya, Shiraiwa, Tatsuhiko, Nakajima, Kota, Tanaka, Yu, Katsura, Keisuke, Yamaguchi, Tomoaki, Watanabe, Tomoya, and Shiraiwa, Tatsuhiko
Abstract: Above-ground biomass (AGB) is an important indicator of crop productivity. Destructive measurements of AGB incur huge costs, and most non-destructive estimations cannot be applied to diverse cultivars having different canopy architectures. This insufficient access to AGB data has potentially limited improvements in crop productivity. Recently, a deep learning technique called convolutional neural network (CNN) has been applied to estimate crop AGB due to its high capacity for digital image recognition. However, the versatility of the CNN-based AGB estimation for diverse cultivars is still unclear. We established and evaluated a CNN-based estimation method for rice AGB using digital images with 59 diverse cultivars which were mostly in World Rice Core Collection. Across two years at two locations, we took 12,183 images of 59 cultivars with commercial digital cameras and manually obtained their corresponding AGB. The CNN model was established by using 28 cultivars and showed high accuracy (R-2 = 0.95) to the test dataset. We further evaluated the performance of the CNN model by using 31 cultivars, which were not in the model establishment. The CNN model successfully estimated AGB when the observed AGB was lesser than 924 g m(-2) (R-2 = 0.87), whereas it underestimated AGB when the observed AGB was greater than 924 g m(-2) (R-2 = 0.02). This underestimation might be improved by adding training data with a greater AGB in further study. The present study indicates that this CNN-based estimation method is highly versatile and could be a practical tool for monitoring crop AGB in diverse cultivars.
Published: 2023

17. Improvement of accuracy with uncertainty quantification in the simulation of a ground heat exchanger by combining model prediction and observation

Author: Shoji, Yutaka, 1000060552411, Katsura, Takao, 1000080208032, Nagano, Katsunori, Shoji, Yutaka, 1000060552411, Katsura, Takao, 1000080208032, and Nagano, Katsunori
Abstract: With the utilization of shallow geothermal heat as a renewable energy source in recent times, several studies have focused on ground heat exchanger simulation. Ground heat exchanger simulation is an important factor that contributes to the design and control of shallow geothermal systems. Thus far, various models and parameter estimation methods have been proposed to represent actual phenomena; however, errors inevitably occur be-tween the model predictions and actual values. Hence, a method that can explicitly account for this uncertainty is desirable. Thus, in this study, we show that data assimilation-a method that combines simulation and obser-vation for more accurate state estimation and uncertainty quantification-can be applied to ground heat exchanger simulation. To this end, we perform an in situ transient heating experiment using a single-borehole heat exchanger, and we assimilate the actual observations using an ensemble Kalman filter for a reproductive simulation. The results of the data assimilation experiment indicate that the model parameter, i.e., the soil effective thermal conductivity, is modified from 1.19 W m-1 K-1 estimated from the geologic column to 1.70 +/- 0.05 W m-1 K-1, and it reproduces the standard estimate of 1.69 W m-1 K-1 from the thermal response test. Further, for the ground heat exchanger inlet/outlet temperature, simulation without data assimilation yielded a maximum error of approximately 2.0 K, whereas simulation with data assimilation produced a highly accurate state estimate with a standard deviation of 0.08 K. The proposed method allows a posteriori estimation of soil properties from the operational data of ground heat exchanger systems installed without thermal response tests as well as the correction of deviations between the model and observation values through statistical support and uncertainty quantification.
Published: 2023

18. Status of adult outpatients with congenital heart disease in Japan: The Japanese Network of Cardiovascular Departments for Adult Congenital Heart Disease Registry

Author: Yao, Atsushi, Inuzuka, Ryo, Mizuno, Atsushi, Iwano, Hiroyuki, Tatebe, Shunsuke, Tsukamoto, Yasumasa, Sakamoto, Ichiro, Watanabe, Hiroyuki, Fukuda, Nobuyuki, Fumie, Takechi, Adachi, Shiro, Akazawa, Yusuke, Kuwahara, Koichiro, Dohi, Kaoru, Ishizu, Tomoko, Miyake, Makoto, Koitabashi, Norimichi, Hasegawa-Tamba, Saki, Sato Seiichi, Fujii, Takanari, Ehara, Eiji, Minamino, Tohru, Yamada, Hirotsugu, Yamashita, Eiji, Kawamatsu, Naoto, Masuda, Keita, Soma, Katsura, Shiraishi, Isao, Nagai Ryozo, Niwa, Koichiro, Yao, Atsushi, Inuzuka, Ryo, Mizuno, Atsushi, Iwano, Hiroyuki, Tatebe, Shunsuke, Tsukamoto, Yasumasa, Sakamoto, Ichiro, Watanabe, Hiroyuki, Fukuda, Nobuyuki, Fumie, Takechi, Adachi, Shiro, Akazawa, Yusuke, Kuwahara, Koichiro, Dohi, Kaoru, Ishizu, Tomoko, Miyake, Makoto, Koitabashi, Norimichi, Hasegawa-Tamba, Saki, Sato Seiichi, Fujii, Takanari, Ehara, Eiji, Minamino, Tohru, Yamada, Hirotsugu, Yamashita, Eiji, Kawamatsu, Naoto, Masuda, Keita, Soma, Katsura, Shiraishi, Isao, Nagai Ryozo, and Niwa, Koichiro
Abstract: BackgroundThe Japanese Network of Cardiovascular Departments for Adult Congenital Heart Disease (JNCVD-ACHD) was founded in 2011 for the lifelong care of adult patients with congenital heart disease (ACHD patients). This network maintains the first Japanese ACHD registry.Methods and resultsFrom 2011 to 2019, the JNCVD-ACHD registered 54 institutions providing specialized care for ACHD patients in 32 of the 47 prefectures in Japan. The registry collected data on the disease profile for 24,048 patients from 50 institutions and the patient characteristics for 9743 patients from 24 institutions. The most common ACHDs were atrial septal defect (20.5 %), ventricular septal defect (20.5 %), tetralogy of Fallot (12.9 %), and univentricular heart (UVH)/single ventricle (SV; 6.6 %). ACHD patients without biventricular repair accounted for 37.0 % of the population. Also examined were the serious anatomical and/or pathophysiological disorders such as pulmonary arterial hypertension (3.0 %) including Eisenmenger syndrome (1.2 %), systemic right ventricle under biventricular circulation (sRV-2VC; 2.8 %), and Fontan physiology (6.0 %). The sRV-2VC cases comprised congenitally corrected transposition of the great arteries without anatomical repair (61.9 %) and transposition of the great arteries with atrial switching surgery (38.1 %). The primary etiology (86.4 %) for Fontan physiology was UVH/SV. In addition, developmental/chromosomal/genetic disorders were heterotaxy syndromes (asplenia, 0.9 %; polysplenia, 0.7 %), trisomy 21 (4.0 %), 22q11.2 deletion (0.9 %), Turner syndrome (0.2 %), and Marfan syndrome (1.1 %).ConclusionsAlthough the specific management of ACHD has systematically progressed in Japan, this approach is still evolving. For ideal ACHD care, the prospective goals for the JNCVD-ACHD are to create local networks and provide a resource for multicenter clinical trials to support evidence-based practice.
Published: 2023

19. Experimental analysis of vacuum pressure and gas flow rate in structured-core transparent vacuum insulation panels

Author: 1000060552411, Katsura, Takao, Miyata, Takato, Memon, Saim, Radwan, Ali, 1000080208032, Nagano, Katsunori, 1000060552411, Katsura, Takao, Miyata, Takato, Memon, Saim, Radwan, Ali, 1000080208032, and Nagano, Katsunori
Abstract: The notion that modern buildings should strive to be net-zero energy buildings (NZEBs) is widely accepted. One of the causes leading to high energy usage for space heating, resulting in avoidable carbon emissions, is heat loss via building windows. In order to improve window's insulation in existing buildings, structured-core transparent vacuum insulation panels (TVIPs) are proposed. TVIPs mainly consist of the structured core material, the low-emissivity film, and the transparent gas barrier envelope. TVIPs have high insulation performance and are inexpensive to manufacture and can be easily installed. Therefore, TVIPs have the potential to improve window's insulation in existing buildings at a low cost. However, it is necessary to overcome the issue of preventing the pressure rise inside TVIP after vacuum sealing. The authors constructed an experimental setup to quantify the effect of reduction of gas flow rate in TVIP after evacuation by applying the pressure-rate-of-rise-method. In this experiment, a gas barrier film with a straw was used as the vacuum chamber. This could reproduce the pressure increase in the TVIP after sealing and the gas flow rate in the TVIP is evaluated. The experimental result shows that the coated core material and the enclosing getter agent lowered the pressure rise and gas flow rate in TVIP by combining concurrent evacuation and heating. Furthermore, after extending the simultaneous vacuuming and heating period to 8 h and applying the coated core material, and enclosing the getter agent, the internal pressure in TVIP may be lowered to around 1 Pa after 30 min after halting vacuuming. It was confirmed that this pressure satisfied the performance required for TVIPs, and the result was much closer to the realization of TVIPs.
Published: 2023

20. Negative impact of behavior restriction amidst a clustered COVID-19 infection on immobility syndrome in older patients negative for COVID-19: report from a chronic care hospital in Japan

Author: Maki, Yoshinori, Goda, Akio, Koumo, Masatoshi, Yamamoto, Tetsuya, Yokoyama, Kouta, Ueno, Masashi, Kishimoto, Asuka, Kusumoto, Masami, Takagawa, Mayumi, Takahashi, Tamako, Takahashi, Chiharu, Nakajima, Keisuke, Hashimoto, Mika, Hosokawa, Tsumugi, Kobayashi, Misuzu, Katsura, Junichi, Yanagibashi, Ken, Maki, Yoshinori, Goda, Akio, Koumo, Masatoshi, Yamamoto, Tetsuya, Yokoyama, Kouta, Ueno, Masashi, Kishimoto, Asuka, Kusumoto, Masami, Takagawa, Mayumi, Takahashi, Tamako, Takahashi, Chiharu, Nakajima, Keisuke, Hashimoto, Mika, Hosokawa, Tsumugi, Kobayashi, Misuzu, Katsura, Junichi, and Yanagibashi, Ken
Abstract: Previous studies have reported on associations between immobility syndrome and the COVID-19 pandemic. However, little is known about the aggravation of this syndrome in older patients negative for COVID-19 infection amidst behavior restriction due to a clustered COVID-19 infection. Patients hospitalized one month before a clustered COVID-19 infection occurred in our hospital were recruited. Rehabilitation therapy was suspended for 25 days during behavior restriction. The ability of daily living of the patients was evaluated with the functional independence measure and Barthel index. Chronological changes in the functional independence measure and Barthel index scores were evaluated monthly, beginning one month before the clustered COVID-19 infection to one month after re-initiation of rehabilitation therapy. Patients with minimum scores in the functional independence measure (18) and Barthel index (0) prior to the clustered COVID-19 infection were excluded. Functional independence measure scores of 73 older patients and the Barthel index scores of 48 patients were analyzed. The mean total functional independence measure score amidst the behavior restriction significantly changed from 36.3 to 35.1 (p = 0.019), while statistical significance was not detected in the mean motor subtotal (from 21.6 to 20.9 with p = 0.247) or cognitive subtotal functional independence measure scores (from 14.6 to 14.2 with p = 0.478). During the behavior restriction, the mean Barthel index scores declined from 25.8 to 23.2 without statistical significance (p = 0.059). Behavior restriction due to a clustered COVID-19 infection may aggravate immobility syndrome in older patients who are negative for COVID-19.
Published: 2023

21. Pigment-dispersing factor and CCHamide1 in the Drosophila circadian clock network

Author: Kuwano, Riko, Katsura, Maki, Iwata, Mai, Yokosako, Tatsuya, Yoshii, Taishi, Kuwano, Riko, Katsura, Maki, Iwata, Mai, Yokosako, Tatsuya, and Yoshii, Taishi
Abstract: Animals possess a circadian central clock in the brain, where circadian behavioural rhythms are generated. In the fruit fly (Drosophila melanogaster), the central clock comprises a network of approximately 150 clock neurons, which is important for the maintenance of a coherent and robust rhythm. Several neuropeptides involved in the network have been identified, including Pigment-dispersing factor (PDF) and CCHamide1 (CCHa1) neuropeptides. PDF signals bidirectionally to CCHa1-positive clock neurons; thus, the clock neuron groups expressing PDF and CCHa1 interact reciprocally. However, the role of these interactions in molecular and behavioural rhythms remains elusive. In this study, we generated Pdf (01) and CCHa1(SK8) double mutants and examined their locomotor activity-related rhythms. The single mutants of Pdf (01) or CCHa1(SK8) displayed free-running rhythms under constant dark conditions, whereas approximately 98% of the double mutants were arrhythmic. In light-dark conditions, the evening activity of the double mutants was phase-advanced compared with that of the single mutants. In contrast, both the single and double mutants had diminished morning activity. These results suggest that the effects of the double mutation varied in behavioural parameters. The double and triple mutants of per (01), Pdf (01), and CCHa1(SK8) further revealed that PDF signalling plays a role in the suppression of activity during the daytime under a clock-less background. Our results provide insights into the interactions between PDF and CCHa1 signalling and their roles in activity rhythms.
Published: 2023

22. Improvement of accuracy with uncertainty quantification in the simulation of a ground heat exchanger by combining model prediction and observation

Author: Shoji, Yutaka, Katsura, Takao, Nagano, Katsunori, Shoji, Yutaka, Katsura, Takao, and Nagano, Katsunori
Abstract: With the utilization of shallow geothermal heat as a renewable energy source in recent times, several studies have focused on ground heat exchanger simulation. Ground heat exchanger simulation is an important factor that contributes to the design and control of shallow geothermal systems. Thus far, various models and parameter estimation methods have been proposed to represent actual phenomena; however, errors inevitably occur be-tween the model predictions and actual values. Hence, a method that can explicitly account for this uncertainty is desirable. Thus, in this study, we show that data assimilation-a method that combines simulation and obser-vation for more accurate state estimation and uncertainty quantification-can be applied to ground heat exchanger simulation. To this end, we perform an in situ transient heating experiment using a single-borehole heat exchanger, and we assimilate the actual observations using an ensemble Kalman filter for a reproductive simulation. The results of the data assimilation experiment indicate that the model parameter, i.e., the soil effective thermal conductivity, is modified from 1.19 W m-1 K-1 estimated from the geologic column to 1.70 +/- 0.05 W m-1 K-1, and it reproduces the standard estimate of 1.69 W m-1 K-1 from the thermal response test. Further, for the ground heat exchanger inlet/outlet temperature, simulation without data assimilation yielded a maximum error of approximately 2.0 K, whereas simulation with data assimilation produced a highly accurate state estimate with a standard deviation of 0.08 K. The proposed method allows a posteriori estimation of soil properties from the operational data of ground heat exchanger systems installed without thermal response tests as well as the correction of deviations between the model and observation values through statistical support and uncertainty quantification.
Published: 2023

23. Improvement of accuracy with uncertainty quantification in the simulation of a ground heat exchanger by combining model prediction and observation

Author: Shoji, Yutaka, 1000060552411, Katsura, Takao, 1000080208032, Nagano, Katsunori, Shoji, Yutaka, 1000060552411, Katsura, Takao, 1000080208032, and Nagano, Katsunori
Abstract: With the utilization of shallow geothermal heat as a renewable energy source in recent times, several studies have focused on ground heat exchanger simulation. Ground heat exchanger simulation is an important factor that contributes to the design and control of shallow geothermal systems. Thus far, various models and parameter estimation methods have been proposed to represent actual phenomena; however, errors inevitably occur be-tween the model predictions and actual values. Hence, a method that can explicitly account for this uncertainty is desirable. Thus, in this study, we show that data assimilation-a method that combines simulation and obser-vation for more accurate state estimation and uncertainty quantification-can be applied to ground heat exchanger simulation. To this end, we perform an in situ transient heating experiment using a single-borehole heat exchanger, and we assimilate the actual observations using an ensemble Kalman filter for a reproductive simulation. The results of the data assimilation experiment indicate that the model parameter, i.e., the soil effective thermal conductivity, is modified from 1.19 W m-1 K-1 estimated from the geologic column to 1.70 +/- 0.05 W m-1 K-1, and it reproduces the standard estimate of 1.69 W m-1 K-1 from the thermal response test. Further, for the ground heat exchanger inlet/outlet temperature, simulation without data assimilation yielded a maximum error of approximately 2.0 K, whereas simulation with data assimilation produced a highly accurate state estimate with a standard deviation of 0.08 K. The proposed method allows a posteriori estimation of soil properties from the operational data of ground heat exchanger systems installed without thermal response tests as well as the correction of deviations between the model and observation values through statistical support and uncertainty quantification.
Published: 2023

24. Experimental analysis of vacuum pressure and gas flow rate in structured-core transparent vacuum insulation panels

Author: 1000060552411, Katsura, Takao, Miyata, Takato, Memon, Saim, Radwan, Ali, 1000080208032, Nagano, Katsunori, 1000060552411, Katsura, Takao, Miyata, Takato, Memon, Saim, Radwan, Ali, 1000080208032, and Nagano, Katsunori
Abstract: The notion that modern buildings should strive to be net-zero energy buildings (NZEBs) is widely accepted. One of the causes leading to high energy usage for space heating, resulting in avoidable carbon emissions, is heat loss via building windows. In order to improve window's insulation in existing buildings, structured-core transparent vacuum insulation panels (TVIPs) are proposed. TVIPs mainly consist of the structured core material, the low-emissivity film, and the transparent gas barrier envelope. TVIPs have high insulation performance and are inexpensive to manufacture and can be easily installed. Therefore, TVIPs have the potential to improve window's insulation in existing buildings at a low cost. However, it is necessary to overcome the issue of preventing the pressure rise inside TVIP after vacuum sealing. The authors constructed an experimental setup to quantify the effect of reduction of gas flow rate in TVIP after evacuation by applying the pressure-rate-of-rise-method. In this experiment, a gas barrier film with a straw was used as the vacuum chamber. This could reproduce the pressure increase in the TVIP after sealing and the gas flow rate in the TVIP is evaluated. The experimental result shows that the coated core material and the enclosing getter agent lowered the pressure rise and gas flow rate in TVIP by combining concurrent evacuation and heating. Furthermore, after extending the simultaneous vacuuming and heating period to 8 h and applying the coated core material, and enclosing the getter agent, the internal pressure in TVIP may be lowered to around 1 Pa after 30 min after halting vacuuming. It was confirmed that this pressure satisfied the performance required for TVIPs, and the result was much closer to the realization of TVIPs.
Published: 2023

25. Negative impact of behavior restriction amidst a clustered COVID-19 infection on immobility syndrome in older patients negative for COVID-19: report from a chronic care hospital in Japan

Author: Maki, Yoshinori, Goda, Akio, Koumo, Masatoshi, Yamamoto, Tetsuya, Yokoyama, Kouta, Ueno, Masashi, Kishimoto, Asuka, Kusumoto, Masami, Takagawa, Mayumi, Takahashi, Tamako, Takahashi, Chiharu, Nakajima, Keisuke, Hashimoto, Mika, Hosokawa, Tsumugi, Kobayashi, Misuzu, Katsura, Junichi, Yanagibashi, Ken, Maki, Yoshinori, Goda, Akio, Koumo, Masatoshi, Yamamoto, Tetsuya, Yokoyama, Kouta, Ueno, Masashi, Kishimoto, Asuka, Kusumoto, Masami, Takagawa, Mayumi, Takahashi, Tamako, Takahashi, Chiharu, Nakajima, Keisuke, Hashimoto, Mika, Hosokawa, Tsumugi, Kobayashi, Misuzu, Katsura, Junichi, and Yanagibashi, Ken
Abstract: Previous studies have reported on associations between immobility syndrome and the COVID-19 pandemic. However, little is known about the aggravation of this syndrome in older patients negative for COVID-19 infection amidst behavior restriction due to a clustered COVID-19 infection. Patients hospitalized one month before a clustered COVID-19 infection occurred in our hospital were recruited. Rehabilitation therapy was suspended for 25 days during behavior restriction. The ability of daily living of the patients was evaluated with the functional independence measure and Barthel index. Chronological changes in the functional independence measure and Barthel index scores were evaluated monthly, beginning one month before the clustered COVID-19 infection to one month after re-initiation of rehabilitation therapy. Patients with minimum scores in the functional independence measure (18) and Barthel index (0) prior to the clustered COVID-19 infection were excluded. Functional independence measure scores of 73 older patients and the Barthel index scores of 48 patients were analyzed. The mean total functional independence measure score amidst the behavior restriction significantly changed from 36.3 to 35.1 (p = 0.019), while statistical significance was not detected in the mean motor subtotal (from 21.6 to 20.9 with p = 0.247) or cognitive subtotal functional independence measure scores (from 14.6 to 14.2 with p = 0.478). During the behavior restriction, the mean Barthel index scores declined from 25.8 to 23.2 without statistical significance (p = 0.059). Behavior restriction due to a clustered COVID-19 infection may aggravate immobility syndrome in older patients who are negative for COVID-19.
Published: 2023

26. Pigment-dispersing factor and CCHamide1 in the Drosophila circadian clock network

Author: Kuwano, Riko, Katsura, Maki, Iwata, Mai, Yokosako, Tatsuya, Yoshii, Taishi, Kuwano, Riko, Katsura, Maki, Iwata, Mai, Yokosako, Tatsuya, and Yoshii, Taishi
Abstract: Animals possess a circadian central clock in the brain, where circadian behavioural rhythms are generated. In the fruit fly (Drosophila melanogaster), the central clock comprises a network of approximately 150 clock neurons, which is important for the maintenance of a coherent and robust rhythm. Several neuropeptides involved in the network have been identified, including Pigment-dispersing factor (PDF) and CCHamide1 (CCHa1) neuropeptides. PDF signals bidirectionally to CCHa1-positive clock neurons; thus, the clock neuron groups expressing PDF and CCHa1 interact reciprocally. However, the role of these interactions in molecular and behavioural rhythms remains elusive. In this study, we generated Pdf (01) and CCHa1(SK8) double mutants and examined their locomotor activity-related rhythms. The single mutants of Pdf (01) or CCHa1(SK8) displayed free-running rhythms under constant dark conditions, whereas approximately 98% of the double mutants were arrhythmic. In light-dark conditions, the evening activity of the double mutants was phase-advanced compared with that of the single mutants. In contrast, both the single and double mutants had diminished morning activity. These results suggest that the effects of the double mutation varied in behavioural parameters. The double and triple mutants of per (01), Pdf (01), and CCHa1(SK8) further revealed that PDF signalling plays a role in the suppression of activity during the daytime under a clock-less background. Our results provide insights into the interactions between PDF and CCHa1 signalling and their roles in activity rhythms.
Published: 2023

27. Biomass estimation of World rice (Oryza sativa L.) core collection based on the convolutional neural network and digital images of canopy

Author: Nakajima, Kota, Tanaka, Yu, Katsura, Keisuke, Yamaguchi, Tomoaki, Watanabe, Tomoya, Shiraiwa, Tatsuhiko, Nakajima, Kota, Tanaka, Yu, Katsura, Keisuke, Yamaguchi, Tomoaki, Watanabe, Tomoya, and Shiraiwa, Tatsuhiko
Abstract: Above-ground biomass (AGB) is an important indicator of crop productivity. Destructive measurements of AGB incur huge costs, and most non-destructive estimations cannot be applied to diverse cultivars having different canopy architectures. This insufficient access to AGB data has potentially limited improvements in crop productivity. Recently, a deep learning technique called convolutional neural network (CNN) has been applied to estimate crop AGB due to its high capacity for digital image recognition. However, the versatility of the CNN-based AGB estimation for diverse cultivars is still unclear. We established and evaluated a CNN-based estimation method for rice AGB using digital images with 59 diverse cultivars which were mostly in World Rice Core Collection. Across two years at two locations, we took 12,183 images of 59 cultivars with commercial digital cameras and manually obtained their corresponding AGB. The CNN model was established by using 28 cultivars and showed high accuracy (R-2 = 0.95) to the test dataset. We further evaluated the performance of the CNN model by using 31 cultivars, which were not in the model establishment. The CNN model successfully estimated AGB when the observed AGB was lesser than 924 g m(-2) (R-2 = 0.87), whereas it underestimated AGB when the observed AGB was greater than 924 g m(-2) (R-2 = 0.02). This underestimation might be improved by adding training data with a greater AGB in further study. The present study indicates that this CNN-based estimation method is highly versatile and could be a practical tool for monitoring crop AGB in diverse cultivars.
Published: 2023

28. Evaluating Long-Term Performance of a Residential Ground-Source Heat Pump System under Climate Change in Cold and Warm Cities of Japan

Author: Sakata, Yoshitaka, Akeyama, Yuma, 1000060552411, Katsura, Takao, 1000080208032, Nagano, Katsunori, Sakata, Yoshitaka, Akeyama, Yuma, 1000060552411, Katsura, Takao, 1000080208032, and Nagano, Katsunori
Abstract: A residential ground-source heat pump system often requires a long payback time to recover the capital cost. Long-term uncertainty in such a system's performance increases as the climate changes. This study compares 20-years hourly heating/cooling demands of a typical residence in the present (2000-2020) and in the future (2076-2095) for two locations in Japan. This study also calculated soil temperatures as heat sources through 1D heat-transfer simulation based on the A1B climate scenario in the Intergovernmental Panel on Climate Change's Special Report. System performance and simple payback times were compared in one cold and one warm city in Japan (Sapporo and Tokyo, respectively). Soil temperatures at a middle depth of a borehole heat exchanger were predicted to increase in the future by similar to 1 degrees C, with insignificant effects on a borehole heat exchanger. Seasonal performance factors increased in Sapporo because thermal demands would be kept even in the future, but decreased in Tokyo, which has a higher ratio of the energy used in operating the system in cooling mode compared with its small heating demand. The simple payback time was estimated at 16.2 and >20 years in Sapporo and Tokyo, respectively, both in the present and future, with the constant energy prices. If oil and gas prices doubled, the payback time would be halved in Sapporo to 8.4 years but remain around 20 years or more in Tokyo.
Published: 2023

29. Profound optical flares from the relativistic jets of active galactic nuclei

Author: Bhatta, Gopal, Zola, Staszek, Drozdz, M., Reichart, Daniel, Haislip, Joshua, Kouprianov, Vladimir, Matsumoto, Katsura, Sonbas, Eda, Caton, D., Pajdosz-Śmierciak, Urszula, Simon, A., Provencal, J., Góra, Dariusz, Stachowski, Grzegorz, Bhatta, Gopal, Zola, Staszek, Drozdz, M., Reichart, Daniel, Haislip, Joshua, Kouprianov, Vladimir, Matsumoto, Katsura, Sonbas, Eda, Caton, D., Pajdosz-Śmierciak, Urszula, Simon, A., Provencal, J., Góra, Dariusz, and Stachowski, Grzegorz
Abstract: Intense outbursts in blazars are among the most extreme phenomena seen in extragalactic objects. Studying these events can offer important information about the energetic physical processes taking place within the innermost regions of blazars, which are beyond the resolution of current instruments. This work presents some of the largest and most rapid flares detected in the optical band from the sources 3C 279, OJ 49, S4 0954+658, Ton 599, and PG 1553+113, which are mostly TeV blazars. The source flux increased by nearly ten times within a few weeks, indicating the violent nature of these events. Such energetic events might originate from magnetohydrodynamical instabilities near the base of the jets, triggered by processes modulated by the magnetic field of the accretion disc. We explain the emergence of flares owing to the injection of high-energy particles by the shock wave passing along the relativistic jets. Alternatively, the flares may have also arisen due to geometrical effects related to the jets. We discuss both source-intrinsic and source-extrinsic scenarios as possible explanations for the observed large amplitude flux changes., Comment: 8 pages, 2 figures, 38th International Cosmic Ray Conference (ICRC2023) proceedings
Published: 2023

30. Observational Implications of OJ 287's Predicted 2022 Disk Impact in the Black Hole Binary Model

Author: Valtonen, Mauri J., Dey, Lankeswar, Gopakumar, Achamveedu, Zola, Staszek, Lähteenmäki, Anne, Tornikoski, Merja, Gupta, Alok C., Pursimo, Tapio, Knudstrup, Emil, Gomez, Jose L., Hudec, Rene, Jelínek, Martin, Štrobl, Jan, Berdyugin, Andrei V., Ciprini, Stefano, Reichart, Daniel E., Kouprianov, Vladimir V., Matsumoto, Katsura, Drozdz, Marek, Mugrauer, Markus, Sadun, Alberto, Zejmo, Michal, Sillanpää, Aimo, Lehto, Harry J., Nilsson, Kari, Imazawa, Ryo, Uemura, Makoto, Valtonen, Mauri J., Dey, Lankeswar, Gopakumar, Achamveedu, Zola, Staszek, Lähteenmäki, Anne, Tornikoski, Merja, Gupta, Alok C., Pursimo, Tapio, Knudstrup, Emil, Gomez, Jose L., Hudec, Rene, Jelínek, Martin, Štrobl, Jan, Berdyugin, Andrei V., Ciprini, Stefano, Reichart, Daniel E., Kouprianov, Vladimir V., Matsumoto, Katsura, Drozdz, Marek, Mugrauer, Markus, Sadun, Alberto, Zejmo, Michal, Sillanpää, Aimo, Lehto, Harry J., Nilsson, Kari, Imazawa, Ryo, and Uemura, Makoto
Abstract: We present a summary of the results of the OJ 287 observational campaign, which was carried out during the 2021/2022 observational season. This season is special in the binary model because the major axis of the precessing binary happens to lie almost exactly in the plane of the accretion disc of the primary. This leads to pairs of almost identical impacts between the secondary black hole and the accretion disk in 2005 and 2022. In 2005, a special flare called "blue flash" was observed 35 days after the disk impact, which should have also been verifiable in 2022. We did observe a similar flash and were able to obtain more details of its properties. We describe this in the framework of expanding cloud models. In addition, we were able to identify the flare arising exactly at the time of the disc crossing from its photo-polarimetric and gamma-ray properties. This is an important identification, as it directly confirms the orbit model. Moreover, we saw a huge flare that lasted only one day. We may understand this as the lighting up of the jet of the secondary black hole when its Roche lobe is suddenly flooded by the gas from the primary disk. Therefore, this may be the first time we directly observed the secondary black hole in the OJ 287 binary system., Comment: 24 pages, 13 figures, published in Galaxies as part of the Special Issue Distant Glowing Objects: Quest for Quasars
Published: 2023
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31. On the need of an ultramassive black hole in OJ 287

Author: Valtonen, Mauri J., Zola, Staszek, Gopakumar, Achamveedu, Lähteenmäki, Anne, Tornikoski, Merja, Dey, Lankeswar, Gupta, Alok C., Pursimo, Tapio, Knudstrup, Emil, Gomez, Jose L., Hudec, Rene, Jelínek, Martin, Štrobl, Jan, Berdyugin, Andrei V., Ciprini, Stefano, Reichart, Daniel E., Kouprianov, Vladimir V., Matsumoto, Katsura, Drozdz, Marek, Mugrauer, Markus, Sadun, Alberto, Zejmo, Michal, Sillanpää, Aimo, Lehto, Harry J., Nilsson, Kari, Imazawa, Ryo, Uemura, Makoto, Davidson Jr, James W., Valtonen, Mauri J., Zola, Staszek, Gopakumar, Achamveedu, Lähteenmäki, Anne, Tornikoski, Merja, Dey, Lankeswar, Gupta, Alok C., Pursimo, Tapio, Knudstrup, Emil, Gomez, Jose L., Hudec, Rene, Jelínek, Martin, Štrobl, Jan, Berdyugin, Andrei V., Ciprini, Stefano, Reichart, Daniel E., Kouprianov, Vladimir V., Matsumoto, Katsura, Drozdz, Marek, Mugrauer, Markus, Sadun, Alberto, Zejmo, Michal, Sillanpää, Aimo, Lehto, Harry J., Nilsson, Kari, Imazawa, Ryo, Uemura, Makoto, and Davidson Jr, James W.
Abstract: The highly variable blazar OJ~287 is commonly discussed as an example of a binary black hole system. The 130 year long optical light curve is well explained by a model where the central body is a massive black hole of 18.35$\times$10$^9$ solar mass that supports a thin accretion disc. The secondary black hole of 0.15$\times$10$^9$ solar mass impacts the disc twice during its 12 year orbit, and causes observable flares. Recently, it has been argued that an accretion disc with a typical AGN accretion rate and above mentioned central body mass should be at least six magnitudes brighter than OJ~287's host galaxy and would therefore be observationally excluded. Based on the observations of OJ~287's radio jet, detailed in Marscher and Jorstad (2011), and up-to-date accretion disc models of Azadi et al. (2022), we show that the V-band magnitude of the accretion disc is unlikely to exceed the host galaxy brightness by more than one magnitude, and could well be fainter than the host. This is because accretion power is necessary to launch the jet as well as to create electromagnetic radiation, distributed across many wavelengths, and not concentrated especially on the optical V-band. Further, we note that the claimed V-band concentration of accretion power leads to serious problems while interpreting observations of other Active Galactic Nuclei. Therefore, we infer that the mass of the primary black hole and its accretion rate do not need to be smaller than what is determined in the standard model for OJ~287.
Published: 2023
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32. Refining the 2022 OJ 287 impact flare arrival epoch

Author: Valtonen, Mauri J., Zola, Staszek, Gopakumar, Lähteenmäki, Anne, Tornikoski, Merja, Dey, Lankeswar, Gupta, Alok C., Pursimo, Tapio, Knudstrup, Emil, Gomez, Jose L., Hudec, Rene, Jelínek, Martin, Štrobl, Jan, Berdyugin, Andrei V., Ciprini, Stefano, Reichart, Daniel E., Kouprianov, Vladimir V., Matsumoto, Katsura, Drozdz, Marek, Mugrauer, Markus, Sadun, Alberto, Zejmo, Michal, Sillanpää, Aimo, Lehto, Harry J., Nilsson, Kari, Imazawa, Ryo, Uemura, Makoto, Valtonen, Mauri J., Zola, Staszek, Gopakumar, Lähteenmäki, Anne, Tornikoski, Merja, Dey, Lankeswar, Gupta, Alok C., Pursimo, Tapio, Knudstrup, Emil, Gomez, Jose L., Hudec, Rene, Jelínek, Martin, Štrobl, Jan, Berdyugin, Andrei V., Ciprini, Stefano, Reichart, Daniel E., Kouprianov, Vladimir V., Matsumoto, Katsura, Drozdz, Marek, Mugrauer, Markus, Sadun, Alberto, Zejmo, Michal, Sillanpää, Aimo, Lehto, Harry J., Nilsson, Kari, Imazawa, Ryo, and Uemura, Makoto
Abstract: The bright blazar OJ~287 routinely parades high brightness bremsstrahlung flares, which are explained as being a result of a secondary supermassive black hole (SMBH) impacting the accretion disc of a more massive primary SMBH in a binary system. The accretion disc is not rigid but rather bends in a calculable way due to the tidal influence of the secondary. Below we refer to this phenomenon as a variable disc level. We begin by showing that these flares occur at times predicted by a simple analytical formula, based on general relativity inspired modified Kepler equation, which explains impact flares since 1888. The 2022 impact flare, namely flare number 26, is rather peculiar as it breaks the typical pattern of two impact flares per 12-year cycle. This is the third bremsstrahlung flare of the current cycle that follows the already observed 2015 and 2019 impact flares from OJ~287. It turns out that the arrival epoch of flare number 26 is sensitive to the level of primary SMBH's accretion disc relative to its mean level in our model. We incorporate these tidally induced changes in the level of the accretion disc to infer that the thermal flare should have occurred during July-August 2022, when it was not possible to observe it from the Earth. Thereafter, we explore possible observational evidence for certain pre-flare activity by employing spectral and polarimetric data from our campaigns in 2004/05 and 2021/22. We point out theoretical and observational implications of two observed mini-flares during January-February 2022., Comment: 29 pages, 6 figures, 1 table. arXiv admin note: text overlap with arXiv:2209.08360
Published: 2023
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33. 2021 superoutburst of WZ Sge-type dwarf nova V627 Pegasi lacks an early superhump phase

Author: Tampo, Yusuke, Kato, Taichi, Kojiguchi, Naoto, Shugarov, Sergey Yu., Itoh, Hiroshi, Matsumoto, Katsura, Nakagawa, Momoka, Nishida, Yukitaka, Richmond, Michael, Shibata, Masaaki, Ito, Junpei, Kokhirova, Gulchehra, Rakhmatullaeva, Firuza, Tordai, Tamás, Kiyota, Seiichiro, Ruiz, Javier, Dubovsky, Pavol A., Medulka, Tomáš, Pavlenko, Elena P., Antonyuk, Oksana I., Sosnovskij, Aleksei A., Baklanov, Aleksei V., Krushevska, Viktoriia, Vanmunster, Tonny, Brincat, Stephen M., Petrik, Karol, Galdies, Charles, Hambsch, Franz-Josef, Maeda, Yutaka, Nogami, Daisaku, Tampo, Yusuke, Kato, Taichi, Kojiguchi, Naoto, Shugarov, Sergey Yu., Itoh, Hiroshi, Matsumoto, Katsura, Nakagawa, Momoka, Nishida, Yukitaka, Richmond, Michael, Shibata, Masaaki, Ito, Junpei, Kokhirova, Gulchehra, Rakhmatullaeva, Firuza, Tordai, Tamás, Kiyota, Seiichiro, Ruiz, Javier, Dubovsky, Pavol A., Medulka, Tomáš, Pavlenko, Elena P., Antonyuk, Oksana I., Sosnovskij, Aleksei A., Baklanov, Aleksei V., Krushevska, Viktoriia, Vanmunster, Tonny, Brincat, Stephen M., Petrik, Karol, Galdies, Charles, Hambsch, Franz-Josef, Maeda, Yutaka, and Nogami, Daisaku
Abstract: Superoutbursts in WZ Sge-type dwarf novae (DNe) are characterized by both early superhumps and ordinary superhumps originating from the 2:1 and 3:1 resonances, respectively. However, some WZ Sge-type DNe show a superoutburst lacking early superhumps; it is not well established how these differ from superoutbursts with an early superhump phase. We report time-resolved photometric observations of the WZ Sge-type DN V627 Peg during its 2021 superoutburst. The detection of ordinary superhumps before the superoutburst peak highlights that this 2021 superoutburst of V627 Peg, like that {in} 2014, did not feature an early superhump phase. The duration of stage B superhumps was slightly longer in the 2010 superoutburst accompanying early superhumps than that in the 2014 and 2021 superoutbursts which lacked early superhumps. This result suggests that an accretion disk experiencing the 2:1 resonance may have a larger mass at the inner part of the disk and hence take more time for the inner disk to become eccentric. The presence of a precursor outburst in the 2021 superoutburst suggests that the maximum disk radius should be smaller than that of the 2014 superoutburst, even though the duration of quiescence was longer than that before the 2021 superoutburst. This could be accomplished if the 2021 superoutburst was triggered as an inside-out outburst or if the mass transfer rate in quiescence changes by a factor of two, suggesting that the outburst mechanism and quiescence state of WZ Sge-type DNe may have more variety than ever thought., Comment: 15 pages, 5 figures, 1 table, accepted for publication in PASJ
Published: 2023
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34. Experimental analysis of vacuum pressure and gas flow rate in structured-core transparent vacuum insulation panels

Author: Katsura, Takao, Miyata, Takato, Memon, Saim, Radwan, Ali, Nagano, Katsunori, Katsura, Takao, Miyata, Takato, Memon, Saim, Radwan, Ali, and Nagano, Katsunori
Abstract: The notion that modern buildings should strive to be net-zero energy buildings (NZEBs) is widely accepted. One of the causes leading to high energy usage for space heating, resulting in avoidable carbon emissions, is heat loss via building windows. In order to improve window's insulation in existing buildings, structured-core transparent vacuum insulation panels (TVIPs) are proposed. TVIPs mainly consist of the structured core material, the low-emissivity film, and the transparent gas barrier envelope. TVIPs have high insulation performance and are inexpensive to manufacture and can be easily installed. Therefore, TVIPs have the potential to improve window's insulation in existing buildings at a low cost. However, it is necessary to overcome the issue of preventing the pressure rise inside TVIP after vacuum sealing. The authors constructed an experimental setup to quantify the effect of reduction of gas flow rate in TVIP after evacuation by applying the pressure-rate-of-rise-method. In this experiment, a gas barrier film with a straw was used as the vacuum chamber. This could reproduce the pressure increase in the TVIP after sealing and the gas flow rate in the TVIP is evaluated. The experimental result shows that the coated core material and the enclosing getter agent lowered the pressure rise and gas flow rate in TVIP by combining concurrent evacuation and heating. Furthermore, after extending the simultaneous vacuuming and heating period to 8 h and applying the coated core material, and enclosing the getter agent, the internal pressure in TVIP may be lowered to around 1 Pa after 30 min after halting vacuuming. It was confirmed that this pressure satisfied the performance required for TVIPs, and the result was much closer to the realization of TVIPs.
Published: 2023

35. Regional Disparity in First-in-Class Anticancer Drug Development in the US, EU, and Japan

Author: Afd Pharmacoepi & Clinical Pharmacology, PECP - Centre for Pharmaceutical Policy and Regulation, Pharmacoepidemiology and Clinical Pharmacology, Hino, Yoshitsugu, Okada, Miu, Hallgreen, Christine Erikstrup, De Bruin, Marie Louise, Doty, Randell E., Matsumaru, Naoki, Tsukamoto, Katsura, Afd Pharmacoepi & Clinical Pharmacology, PECP - Centre for Pharmaceutical Policy and Regulation, Pharmacoepidemiology and Clinical Pharmacology, Hino, Yoshitsugu, Okada, Miu, Hallgreen, Christine Erikstrup, De Bruin, Marie Louise, Doty, Randell E., Matsumaru, Naoki, and Tsukamoto, Katsura
Published: 2023

36. Catching profound optical flares in blazars

Author: Bhatta, Gopal, Zola, Staszek, Drozdz, M., Reichart, Daniel, Haislip, Joshua, Kouprianov, Vladimir, Matsumoto, Katsura, Sonbas, Eda, Caton, D., Pajdosz-Śmierciak, Urszula, Simon, A., Provencal, J., Góra, Dariusz, Stachowski, Grzegorz, Bhatta, Gopal, Zola, Staszek, Drozdz, M., Reichart, Daniel, Haislip, Joshua, Kouprianov, Vladimir, Matsumoto, Katsura, Sonbas, Eda, Caton, D., Pajdosz-Śmierciak, Urszula, Simon, A., Provencal, J., Góra, Dariusz, and Stachowski, Grzegorz
Abstract: Flaring episodes in blazars represent one of the most violent processes observed in extra-galactic objects. Studies of such events shed light on the energetics of the physical processes occurring in the innermost regions of blazars, which cannot otherwise be resolved by any current instruments. In this work, we present some of the largest and most rapid flares captured in the optical band in the blazars 3C 279, OJ 49, S4 0954+658, TXS 1156+295 and PG 1553+113. The source flux was observed to increase by nearly ten times within a timescale of a few weeks. We applied several methods of time series analysis and symmetry analysis. Moreover, we also performed searches for periodicity in the light curves of 3C 279, OJ 49 and PG 1553+113 using the Lomb-Scargle method and found plausible indications of quasi-periodic oscillations (QPOs). In particular, the 33- and 22-day periods found in 3C 279, i.e. a 3:2 ratio, are intriguing. These violent events might originate from magnetohydrodynamical instabilities near the base of the jets, triggered by processes modulated by the magnetic field of the accretion disc. We present a qualitative treatment as the possible explanation for the observed large amplitude flux changes in both the source-intrinsic and source-extrinsic scenarios., Comment: 11 pages, 6 figures, MNRAS accepted
Published: 2023
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37. Observational Implications of OJ 287’s Predicted 2022 Disk Impact in the Black Hole Binary Model

Author: Department of Atomic Energy (India), University of Zurich, National Science Centre (Poland), European Commission, Valtonen, Mauri J., Dey, Lankeswar, Gopakumar, Achamveedu, Zola, Staszek, Lähteenmäki, Anne, Tornikoski, Merja, Gupta, Alok C., Pursimo, Tapio, Knudstrup, Emil, Gómez, José L., Hudec, René, Jelínek, Martin, Štrobl, Jan, Berdyugin, Andrei V., Ciprini, Stefano, Reichart, Daniel E., Kouprianov, Vladimir V., Matsumoto, Katsura, Drozdz, Marek, Mugrauer, Markus, Sadun, Alberto, Zejmo, Michal, Sillanpää, Aimo, Lehto, Harry J., Nilsson, Kari, Imazawa, Ryo, Uemura, Makoto, Department of Atomic Energy (India), University of Zurich, National Science Centre (Poland), European Commission, Valtonen, Mauri J., Dey, Lankeswar, Gopakumar, Achamveedu, Zola, Staszek, Lähteenmäki, Anne, Tornikoski, Merja, Gupta, Alok C., Pursimo, Tapio, Knudstrup, Emil, Gómez, José L., Hudec, René, Jelínek, Martin, Štrobl, Jan, Berdyugin, Andrei V., Ciprini, Stefano, Reichart, Daniel E., Kouprianov, Vladimir V., Matsumoto, Katsura, Drozdz, Marek, Mugrauer, Markus, Sadun, Alberto, Zejmo, Michal, Sillanpää, Aimo, Lehto, Harry J., Nilsson, Kari, Imazawa, Ryo, and Uemura, Makoto
Abstract: We present a summary of the results of the OJ 287 observational campaign, which was carried out during the 2021/2022 observational season. This season is special in the binary model because the major axis of the precessing binary happens to lie almost exactly in the plane of the accretion disc of the primary. This leads to pairs of almost identical impacts between the secondary black hole and the accretion disk in 2005 and 2022. In 2005, a special flare called “blue flash” was observed 35 days after the disk impact, which should have also been verifiable in 2022. We did observe a similar flash and were able to obtain more details of its properties. We describe this in the framework of expanding cloud models. In addition, we were able to identify the flare arising exactly at the time of the disc crossing from its photo-polarimetric and gamma-ray properties. This is an important identification, as it directly confirms the orbit model. Moreover, we saw a huge flare that lasted only one day. We may understand this as the lighting up of the jet of the secondary black hole when its Roche lobe is suddenly flooded by the gas from the primary disk. Therefore, this may be the first time we directly observed the secondary black hole in the OJ 287 binary system.
Published: 2023

38. Black-tailed gulls alter their flight height and airspeed according to wind conditions during their coastal commuting trips

Author: Kumagai, Aya, Kazama, Kentaro, Mikami, Katsura, Watanuki, Yutaka, Kumagai, Aya, Kazama, Kentaro, Mikami, Katsura, and Watanuki, Yutaka
Abstract: Seabirds are expected to increase their flight height in tailwind and to increase their airspeed in headwind during goal-oriented flight to minimize their cost of transport. To understand how flapping birds respond to variability in wind speed and direction experienced during their commuting flights between their breeding colony and foraging areas, we measured the flight height and speed of black-tailed gulls Larus crassirostris using GPS loggers. We analyzed the relationships between these flight parameters and local wind speed and direction. Over the course of the 2016 to 2018 breeding seasons, we tagged 105 birds at 2 colonies in northern Hokkaido, Japan. A total of 90 flight track-lines within a 500 m radius of 5 coastal meteorological stations were analyzed. The median flight height ranged from 0 to 153.8 m, and the median ground speed and airspeed were between 18.6-82.1 and 19.5-93.0 km h-1, respectively. Gulls flew higher with greater tailwind speed, supporting the hypothesis that birds utilize greater wind assistance at higher altitudes. Furthermore, gulls increased their airspeed under strong headwind conditions, suggesting they adjust airspeed to achieve the most cost-effective speed to reach their destination. Better understanding the drivers of seabird flight height is key to assessing the potential for collisions with wind turbines in coastal and offshore wind farms. These findings provide useful information to reduce collisions with coastal and offshore wind facilities.
Published: 2023

39. Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Author: Adisa, Adewale, Bahrami-Hessari, Michael, Bhangu, Aneel, George, Christina, Ghosh, Dhruv, Glasbey, Jame, Haque, Parvez, Ingabire, J C Allen, Kamarajah, Sivesh Kathir, Kudrna, Laura, Ledda, Virginia, Li, Elizabeth, Lillywhite, Robert, Mittal, Rohin, Nepogodiev, Dmitri, Ntirenganya, Faustin, Picciochi, Maria, Simões, Joana Filipa Ferreira, Booth, L, Elliot, R, Kennerton, A S, Pettigrove, K L, Pinney, L, Richard, H, Tottman, R, Wheatstone, P, Wolfenden, John W D, Smith, Jenovia Amisti, Sayed, A Emad, Goswami, Aakansha Giri, Malik, Aamer, Mclean, Aaron Lawson, Hassan, Abba, Nazimi, Abd Jabar, Aladna, Abdallah, Abdelgawad, Abdalrahman, Saed, Abdel, Abdelmageed, Abdelfatah, Ghannam, Abdelilah, Taha, Abdelrahman Mahmoud Ahmed Abdelsamad, Alvi, Abdul, Ismail, Abdulaziz, Adesunkanmi, Abdulhafiz, Ebrahim, Abdulla, Al-Mallah, Abdullah, Alqallaf, Abdullah, Durrani, Abdullah, Gabr, Abdullah, Kirfi, Abdullahi Musa, Altaf, Abdulmalik, Almutairi, Abdulmjeed, Sabbagh, Abdulrahman J, Ajiya, Abdulrazak, Haddud, Abdurrahman, Alnsour, Abed Alfattah Mahmoud, Singh, Abhinav, Mittal, Abhishek, Semple, Abigail, Adeniran, Abiodun, Negussie, Abraham, Oladimeji, Abraham, Muhammad, Abubakar Bala, Yassin, Abubaker, Gungor, Abuzer, Tarsitano, Achille, Soibiharry, Adaiah, Dyas, Adam, Frankel, Adam, Peckham-Cooper, Adam, Truss, Adam, Issaka, Adamu, Ads, Adel Mohamed, Aderogba, Adeleke Akeem, Adeyeye, Ademola, Ademuyiwa, Adesoji, Sleem, Adham, Papa, Adrian, Cordova, Adriana, Appiah-Kubi, Adu, Meead, Adullah, Nacion, Aeris Jane D, Michael, Afieharo, Forneris, Agustin Albani, Duro, Agustin, Gonzalez, Agustin Rodriguez, Altouny, Ahmad, Ghazal, Ahmad, Khalifa, Ahmad, Ozair, Ahmad, Quzli, Ahmad, Haddad, Ahmad, Othman, Ahmad Faidzal, Yahaya, Ahmad Shuib, Elsherbiny, Ahmed, Nazer, Ahmed, Hammad, Ahmed Tarek, Abu-Zaid, Ahmed, Al-Nusairi, Ahmed, Azab, Ahmed, Elagili, Ahmed, Elkazaz, Ahmed, Kedwany, Ahmed, Nuhu, Ahmed Mohammed, Sakr, Ahmed, Shehta, Ahmed, Shirazi, Ahmed, Mohamed, Ahmed Mohamed Ibrahim, Sherif, Ahmed Elshawadfy, Awad, Ahmed K, Abbas, Ahmed M, Abdelrahman, Ahmed Saber, Ammar, Ahmed Siddique, Azzam, Ahmed Y, Ciftci, Ahmet Burak, Dural, Ahmet Cem, Sanli, Ahmet Necati, Rahy-Martín, Aida Cristina, Tantri, Aida Rosita, Khan, Aimal, Al-Touny, Aiman, Tariq, Aiman, Gmati, Aimen, Costas-Chavarri, Ainhoa, Auerkari, Aino, Landaluce-Olavarria, Aitor, Puri, Ajay, Radhakrishnan, Ajay, Ubom, Akaninyene Eseme, Pradhan, Akhilesh, Turna, Akif, Adepiti, Akinfolarin, Kuriyama, Akira, Kassam, Al-Faraaz, Hassouneh, Ala, El-Hussuna, Alaa, Habeebullah, Alaa, Ads, Alaa Mohamed, Mousli, Alaa, Biloslavo, Alan, Hoang, Alan, Kirk, Alan, Santini, Alasdair, Melero, Alba Vazquez, Calvache, Albaro José Nieto, Baduell, Albert, Chan, Albert, Abrate, Alberto, Balduzzi, Alberto, Sánchez, Alberto Cabañero, Navarrete-Peón, Alberto, Porcu, Alberto, Brolese, Alberto, Barranquero, Alberto G, Saibene, Alberto Maria, Adam, Albushra Altayeb, Vagge, Aldo, Maquilón, Alejandra Jara, Leon-Andrino, Alejandro, Sekulić, Aleksandar, Trifunovski, Aleksandar, Mako, Aleksandro, Bedada, Alemayehu Ginbo, Broglia, Alessandro, Coppola, Alessandro, Giani, Alessandro, Grandi, Alessandro, Iacomino, Alessandro, Moro, Alessandro, D’Amico, Alessia, Malagnino, Alessia, Tang, Alethea, Doyle, Alex, Alfieri, Alex, Haynes, Alex, Wilkins, Alex, Baldwin, Alexander, Heriot, Alexander, Laird, Alexander, Lazarides, Alexander, O'Connor, Alexander, Trulson, Alexander, Rokohl, Alexander Christopher, Caziuc, Alexandra, Triantafyllou, Alexandra, Anesi, Alexandre, Nikova, Alexandrina, Andrianakis, Alexandro, Charalabopoulos, Alexandro, Tsolakidis, Alexandro, Chirca, Alexandru, Arnaud, Alexis P, Narvaez-Rojas, Alexis Rafael, Kavalakat, Alfie, Spina, Alfio, Recordare, Alfonso, Annicchiarico, Alfredo, Conti, Alfredo, Mohammed, Alhassan Datti, Kocataş, Ali, Almhimid, Ali, Arnaout, Ali, Fahmy, Ali, Mangi, Ali, Modabber, Ali, Ulas, Ali Bilal, Mohamedahmed, Ali Yasen Y, Frontali, Alice, Moynihan, Alice, Yunus, Alif, Ahmad, Aline, Kent, Alistair J, Khamees, Almu'Atasim, Ugwu, Aloy Okechukwu, Turan, Alparslan, Mohammed, Alsnosy Abdullah Khalefa, Navarro-Barrios, Alvaro, Yebes, Alvaro, De Sousa, Álvaro Francisco Lope, Moreno, Amabelle, Sethi, Aman, Dawson, Amanda Caroline, Othman, Amani Alsayd Abdulsalam, Kaur, Amanjot, Wolde, Amanuel, Antonelli, Amedeo, Scifo, Amedeo, Alhamad, Ameen, Davis, Amelia, Alderazi, Amer, Harky, Amer, Mohammed-Durosinlorun, Amina, Seguya, Amina, Okhakhu, Amina, Chamakhi, Amine, Sebai, Amine, Souadka, Amine, Asla, Amir, Agrawal, Amit, Persad, Amit, Gupta, Amit, Elgazar, Amr, Kulkarni, Amruta, Coates, Amy, Bellés, Ana Ciscar, Hadzibegovic, Ana Danic, Jotic, Ana, Kowark, Ana, Martins, Ana, Pineda, Ana Mejía, Peral, Ana, Gollarte, Ana Sánchez, Senent-Boza, Ana, Camarena, Ana Isabel Avellaneda, Castaño-Leon, Ana M, Bravo, Ana Maria Minaya, Moro, Ana María Gimeno, Musina, Ana-Maria, Tapia-Herrero, Ana-María, Kothari, Anai, Gupta, Anand, Raja, Anand, Aljaiuossi, Ana, Taha, Ana, Majbar, Anass Mohammed, Prodromidou, Anastasia, Kanatas, Anastasio, Gupte, Anaya, Zakaria, Andee Dzulkarnaen, Balla, Andrea, Barberis, Andrea, Bondurri, Andrea, Bottari, Andrea, Costantino, Andrea, Figus, Andrea, Lauretta, Andrea, Mingoli, Andrea, Romanzi, Andrea, Sagnotta, Andrea, Scacchi, Andrea, Picchetto, Andrea, Valadez, Andrea Estefania Cueto, Luzzi, Andrea-Pierre, Älgå, Andrea, Fontalis, Andrea, Hecker, Andrea, Demetriades, Andreas K, Serban, Andreea-Madalina, Văcărașu, Andrei Bogdan, Cokan, Andrej, Isaza-Restrepo, Andre, Beamish, Andrew, Schache, Andrew, Stevenson, Andrew, Yiu, Andrew, Cockbain, Andrew J, Litvin, Andrey, Abad-Motos, Ane, Becerra, Angel, Ramos, Ángel Cilleruelo, Chiaradia, Angela, Dell, Angela, Romano, Angela, Pascale, Angelo, Marra, Angelo Alessandro, Dimas, Angelo, Kolias, Angelo, Cerovac, Ani, Koneru, Anish, Tidjane, Anisse, Agbeko, Anita Eseenam, Bajaj, Ankur, Gosain, Ankush, Allan, Anna, Carreras-Castañer, Anna, D'Amore, Anna, Dare, Anna, Maffioli, Anna, Palepa, Anna, Paspala, Anna, Konney, Anna, Gatta, Anna Nunzia Della, Ezanno, Anne-Cecile, Yiallourou, Anneza, Kinnair, Anthony, Rayner, Anthony, Scafa, Anthony Kevin, Bowan, Antoinette Bediako, Veglia, Antonella, Russo, Antonino, Maniaci, Antonino, Castaldi, Antonio, Gil-Moreno, Antonio, Maffuz-Aziz, Antonio, Meola, Antonio, Nenna, Antonio, Ferrer, Antonio Perez, Bonilla, Antonio Ramo, Ramos-De La Medina, Antonio, Infante, Antonio Rodriguez, Santoro, Antonio, Laganà, Antonio Simone, Bateman, Antony, Michael, Antony Louis Rex, Abozid, Anwaar, Seidu, Anwar Sadat, Lowery, Aoife, Tantraworasin, Apichat, Rasheed, Aqsa, Picciariello, Arcangelo, Isik, Arda, Saif, Areeba, Anjum, Arfa, Ioannidis, Argyrio, Abeldaño, Ariel, Hussain, Arif, Nathan, Arjun, Bedzhanyan, Arkady, Perfecto, Arkaitz, De Virgilio, Armando, Galvan, Armando, Sablotzki, Armin, Böttcher, Arne, Pellacani, Arrigo, Gatti, Arthur, Ibrahimli, Arturan, Menon, Arun, Sahni, Arun, Mwenda, Aruyaru Stanley, Choudhry, Asad, Jayawardane, Asanka, Gupta, Ashish, Ramasamy, Ashok, Mitul, Ashrarur Rahman, Bawa, Ashvind, Nugur, Ashwani, Rammohan, Ashwin, Sachdeva, Ashwin, Mehraj, Asif, Yildirim, Asif, Alqaseer, Asma, Radwan, Asmaa, Sallam, Asser, Syllaios, Athanasio, Tampakis, Athanasio, Alwael, Athari, Samara, Athina, Eroglu, Atilla, Rahman, Atiqur, Ulkucu, Attila, Zaránd, Attila, Dulskas, Audriu, Tawiah, Augustine, Zani, Augusto, Vas, Aurelia, Lukosiute-Urboniene, Ausra, Adamu, Auwal, Aujayeb, Avinash, Malik, Awais Amjad, İplikçi, Ayberk, Mahmud, Ayesha, Cil, Aylin Pelin, Makanjuola, Ayomide, Akwaisah, Ayoub, Galandarova, Aysuna, Saracoglu, Ayten, Regan, Azel, Barlas, Aziz Mutlu, Alhassan, Baba Alhaji Bin, Mostafa, Badr, Hamida, Baha Ben, Torun, Bahar Canbay, Abdullah, Bahiyah, Balagobi, Balasingam, Banky, Balaz, Singh, Baljit, Alegbeleye, Bamidele, Yigit, Banu, Hajjaj, Baraa Nabil, Burgos-Blasco, Barbara, Seeliger, Barbara, Alayande, Barnaba, Alhazmi, Barrag, Enodien, Bassey, Torre, Beatrice, Pérez, 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Mihaela, Slavchev, Mihail, Davidescu, Mihnea, Prieto, Mikel, Agapov, Mikhail, Gahwagi, Milad, Prats, Milagros Carrasco, Rudic, Milan, Verbic, Milena Senica, Kostusiak, Milosz, Stoleriu, Mircea Gabriel, Lucas, Miriam Abellan, Barone, Mirko, Ahmad, Misbahu, Alemu, Misganaw Alemu Adima, Fatima, Mishal, Ida, Mitsuru, Sahu, Mo, Muhaisen, Mo'Ne, Salem, Moacyr, Emara, Moataz Maher, Oludara, Mobolaji, Sotudeh, Mohadeseh, Kassab, Mohamad B, Abdelkhalek, Mohamed, Alsori, Mohamed, Anwar, Mohamed, El-Kassas, Mohamed, Elbahnasawy, Mohamed, Eldabaa, Mohamed, Rabie, Mohamed, Hassanin, Mohamed Abdelghafor, Thaha, Mohamed Adhnan, Ali, Mohamed Shafi Mahboob, Alhamid, Mohammad, Almoshantaf, Mohammad Badr, Keramati, Mohammad Reza, Bafaquh, Mohammed, Abuzaid, Mohammed, Al-Shehari, Mohammed, Alharthi, Mohammed, Alkahlan, Mohammed, Alwash, Mohammed, Alyousef, Mohammed, Amir, Mohammed, Basendowah, Mohammed, Deputy, Mohammed, Jibreel, Mohammed, Alam, Mohammed Shadrul, Alsharif, Mohammed, Issahalq, Mohammed 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Mustafa, Yakubu, Mustapha, Usman, Mustapha Ibrahim, Aremu, Muyiwa, Paranyak, Mykola, Talat, Nabila, Kausar, Nabila, Dudi-Venkata, Nagendra, Bazzi, Nagham, Hasan, Najat Ben, Van Wyk, Naomi Natasha, Shaban, Naseebah, Almgla, Naser, Kandevani, Naser Yousefzadeh, Alzerwi, Nasser, Alvarez, Natalia, Motas, Natalia, Rincón, Natalia Andrea Rivera, Blencowe, Natalie, Simon, Natalie, Aghtarafi, Natasha, Ghuman, Navdeep Kaur, Sharma, Naveen, Wijekoon, Naveen, Kumar, Navin, Hassan, Naya, Onyemaechi, Ndubuisi, Prijović, Nebojša, Özçay, Necdet, Goel, Neha, Segaren, Neil, Sharma, Neil, Kalyva, Nektaria, Palacios, Nelson Morale, Alonso, Nestor Fabian Pedraza, Onyeagwara, Ngozi, Petrucciani, Niccolò, Daddi, Niccolo’, Lightfoot, Nichola, Power, Nichola, Segaren, Nichola, Starr, Nichole, Dreger, Nici Marku, Cillara, Nicola, Colucci, Nicola, Eardley, Nicola, Tartaglia, Nicola, Zanini, Nicola, Bacalbasa, Nicolae, Campuzano, Nicola, Mouawad, Nicola, Federico, Nicoletta Sveva Pipitone, Tamini, Nicolò, Mariani, Nicolò Maria, Beasley, Nigel, Adu-Aryee, Nii Armah, Burlov, Nikita, Dimitrokallis, Nikolao, Gouvas, Nikolao, Machairas, Nikolao, Memos, Nikolao, Thomakos, Nikolao, Tsakiridis, Nikolao, Schizas, Nikolao, Börner, Nikolau, Theochari, Nikoletta, Al-Saadi, Nina, Glass, Nina, Horesh, Nir, R, Nissi Evelyn, Gahlot, Nitesh, Ismail, Nizar, Aljirdabi, Noof, Maria, Noor Ul Huda, Trabulsi, Nora, Akeel, Nouf, Borges, Nuno, Moda, Nupur, Redondo, Nuria Villacé, Nyarko, Obed Ofori, Ginghina, Octav, Enciu, Octavian, Okere, Oghenekevwe, Ekwunife, Okechukwu Hyginu, Quadri, Oladeji, Ogundoyin, Olakayode, Tucker, Olga, Mateo-Sierra, Olga, Azzis, Olivier, Ojewuyi, Olufemi, Habeeb, Olufemi, Idowu, Olufemi, Elebute, Olumide, Agboola, Oluseyi, Ladipo-Ajayi, Oluwaseun, Oyinloye, Oluwaseun, Adebola, Oluwaseyi, Ekor, Oluwayemisi, Ogundoyin, Oluwole, Salamanca, Omar, Vergara-Fernandez, Omar, Wafi, Omar, Aladawi, Omar, Bahassan, Omar Mohammed, Tammo, Ömer, Ozkan, Omer Faruk, Williams, Omolara Modupe, Salami, Omotayo, Akinajo, Opeyemi, Sakhov, Orazbek, Gallo, Oreste, Sole, Oriol Martin, Milella, Oronzo, Alser, Osaid, Bettar, Osama Al, Alomar, Osama, Osman, Osama Saeed, Aisuodionoe-Shadrach, Oseremen, Basnayake, Oshan, Bozbiyik, Osman, Hodges, Owen, Ojo, Owolabi, Yanık, Özge, Mutlu, Özgecan Pırıl Zanbak, Kazan, Ozgur, Calavia, Pablo, García, Pablo Rodríguez, Urriza, Pablo Vallé, Lopez, Paloma Rodriguez, Christidis, Panagioti, Dorovinis, Panagioti, Kokoropoulos, Panagioti, Mourmouris, Panagioti, Papatheodorou, Panayioti, Garg, Pankaj Kumar, Patel, Panna, Vassiliu, Panteleimon, Campennì, Paola, De Nardi, Paola, Bernante, Paolo, Ubiali, Paolo, Baroffio, Paolo, Pizzini, Paolo, Sapienza, Paolo, Myrelid, Par, Chatzikomnitsa, Paraskevi, Tsiantoula, Paraskevi, Gada, Parth, Avella, Pasquale, Cianci, Pasquale, Romero, Patricia, Méndez, Patricia Serrano, Pazmiño, Patricio Andrés Freile, Coughlin, Patrick, Kirchweger, Patrick, Pessaux, Patrick, Maguire, Patrick J, Petrone, Patrizio, Cullis, Paul, Köglberger, Paul, Marriott, Paul, Nankivell, Paul, Santos-Costa, Paulo, Martins, Paulo N, Panahi, Pedram, Botelho, Pedro, Teixeira, Pedro, Escobar, Pedro, Vázquez, Pedro José Gil, Gribnev, Petar, Nolte, Peter, Agbonrofo, Peter, Bobak, Peter, Choong, Peter, Elbe, Peter, Hutchinson, Peter, Labib, Peter, Paal, Peter, Pockney, Peter, Reemst, Peter, Szatmary, Peter, Vaughan-Shaw, Peter G, Alexander, Philip, Pucher, Philip, Stather, Philip, Foessleitner, Philipp, Winnand, Philipp, Zehnder, Philipp, Kruse, Philippe, Matos, Philomena Alice Wawer, Lapolla, Pierfrancesco, Cicerchia, Pierfranco Maria, Solli, Piergiorgio, Di Lascio, Pierpaolo, Zarif, Pierre, Champagne, Pierre-Olivier, Anoldo, Pietro, Bertoglio, Pietro, Fransvea, Pietro, Familiari, Pietro, Lombardi, Pietro Maria, Stogowski, Piotr Tomasz, Bruzzaniti, Placido, Tripathi, Prashant, D'Sa, Prashanth, Salunke, Pravin, Shah, Pritik A, Punjabi, Prof Prakash P, Christodoulou, Prokopi, Hamdan, Qusai, Tawalbeh, Ra'Fat, Gadelkareem, Rabea, Awad, Rabih, Callcut, Rachael, Clegg, Rachael, Choron, Rachel, Payne, Rachel, Gefen, Rachel, Costea, Radu, Drasovean, Radu, Mirica, Radu Mihail, Ravindra, Raevin, Fajardo, Rafael Torre, Nunes, Rafael Leite, Aspide, Raffaele, Lombardi, Raffaele, Vidya, Raghavan, Elboraei, Rahma, Saaid, Rahmah, Ghodke, Rahul, Gupta, Rahul, Sharma, Rahul Deo, Lunevicius, Raimunda, Kalayarasan, Raja, Mohan, Rajashekar, Singh, Rajdeep, Sivaprakasam, Rajesh, Seenivasagam, Rajkumar Kottayasamy, Rajendram, Rajkumar, Radulescu, Raluca Bievel, Goicea, Raluca, Seshadri, Ramakrishnan Ayloor, Sarı, Ramazan, Nataraja, Ramesh, Aslam, Ramisha, Abdelemam, Rania, Shrestha, Rashmit, Bharathan, Rasiah, Pellini, Raul, Guevara, Raul, Agarwal, Ravi, Vissapragada, Ravi, Alharmi, Rawan Arahman, Sayyed, Raza, Browning, Rebecca, Critchley, Rebecca, Mallick, Rebecca, Alarabi, Rehab, Beron, Reinaldo Isaac, Függer, Reinhold, Othman, Rema, Saad, Rema, Amores, Remedios Revilla, Colombari, Renan Carlo, Radivojević, Renata Curic, Patrone, Renato, Novysedlák, René, Huatuco, René Manuel Palacio, Baertschiger, Reto, Liang, Rhea, Luckwell, Rhy, Escrevente, Ricardo, Rezende, Ricardo Fernande, Cruz, Ricardo Pedrini, Lenzi, Riccardo, Rosati, Riccardo, Donovan, Richard, Egan, Richard, Morris, Richard, Page, Richard, Seglenieks, Richard, Unsworth, Richard, Wilkin, Richard, Skipworth, Richard Je, Davies, Richard Justin, Bezirci, Rifat, Talwar, Rishi, Azami, Rizwan, Bohmer, Rob, Crichton, Robert, Fruscio, Robert, Hooker, Robert, Jach, Robert, Parker, Robert, Pillerstorff, Robert, Sinnerton, Robert, Stabler, Robert, O'Connell, Robert Michael, Ragozzino, Roberta, Tutino, Roberta, Angelico, Roberta, Cammarata, Roberto, Colasanti, Roberto, Macchiavello, Roberto, Peltrini, Roberto, Pirrello, Roberto, Vaschetti, Roberto, Pires, Robinson Esteve, Papalia, Rocco, Arrangoiz, Rodrigo, Hompes, Roel, Salah, Rokeya, Pinto, Romina, Flumignan, Ronald, Callan, Rory, Cuthbert, Rory, Dennis, Rory, Scaramuzzo, Rosa, Macías, Rosa Montero, Sánchez, Rosa, Ogu, Rosemary, Ramely, Rosnelifaizur, Sgarzani, Rossella, Ramli, Roszalina, Hillier, Roxane, Thumbadoo, Ruben, Ooi, Rucira, Abdus-Salam, Rukiyat, Masri, Ruqaya, Hodgson, Russell, Mathew, Ryan, Wade, Ryckie, D'Archi, Sabatino, Khan, Sabina, Ngaserin, Sabrina, Kale, Sachin, Hassan, Sadiq, Merghani, Safa, Benamar, Safia, Muhammad, Sagir, Badran, Saif, Elsahli, Saifaleslam, Heta, Saimir, Hammouche, Salah, Baeesa, Saleh, Paiella, Salvatore, Eldeen, Samaher Taj Eldeen Hassan Taj, Arkani, Samara, Mittal, Samarth, Hirji, Sameer, Tebha, Sameer, Emile, Sameh, Dbouk, Samer, Bandyopadhyay, Samik Kumar, Muhammad, Saminu, Olori, Samson, Asirifi, Samuel Amoako, Hailu, Samuel, Ling, Samuel, Newman, Samuel, Ross, Samuel, Wanjara, Samuel, Kumar, Sandip, Seneviratne, Sanjeewa, Tamburello, Sara, Suarez, Sara Busto, Ingallinella, Sara, Irshaidat, Sara, Konswa, Sara, Mambrilla, Sara, Nasser, Sara, Parini, Sara, Pitoni, Sara, Ornaghi, Sara, Rodrigues, Sara Castanheira, Abdelmohsen, Sarah, Aitken, Sarah, Tian, Sarah, Badiani, Sarit, Ahmad, Sarwat, Swed, Sarya, Muthu, Sathish, Lakpriya, Sathya, Alzahrani, Saud, Mikalauskas, Sauliu, Lasrado, Savita, Satoskar, Savni, Bawa, Sayesha, Altiner, Saygin, Garcia, Sean, Stevens, Sean, Demir, Sebahattin, Ken-Amoah, Sebastian, Tranca, Sebastian, Ziemann, Sebastian, Awad, Selmy, Atici, Semra Demirli, Subramaniam, Sentilnathan, Erel, Serap, Jiang, Serena, Efetov, Sergey, Efremov, Sergey, Katorkin, Sergey, Valladares, Sergio Chávez, Contreras, Sergio Marco, Meriç, Serhat, Zenger, Serkan, Safi, Seyer, Leventoğlu, Sezai, Elsalhawy, Shady, Shaikh, Shafaque, Sheik, Shahila, Islam, Shahnoor, Shamim, Shahzad, Waqar, Shahzad Hussain, Ahmad, Shahzaib, Farid, Shahzaib, Seraj, Shaikh Sanjid, Sundarraju, Shalini, Karandikar, Sharad, Sambhwani, Sharan, Chopra, Sharat, Chowdhury, Sharfuddin, Laura, Sharon, Ahmed, Sharwany, Wason, Shaun, Tan, Shawn Jia Hwang, Fraser, Sheila, Williams, Shekinah, Ghozy, Sherief, Abdelmawgoud, Sherif, Shehata, Sherif, Sharma, Shilpa, Ahmed, Shima, Al-Touny, Shimaa A, Ramzanali, Shireen, Nah, Shireen Anne, Jansen, Shirley, Rajan, Shiv, Dindyal, Shiva, Amin, Shivang, Ahmad, Shoaib, Shoukrie, Shoukrie I M, Karar, Shoura, Patkar, Shraddha, Abdulsalam, Shuaib, Lin, Shuxun, Hegde, Siddhi, Fiorelli, Silvia, Quaresima, Silvia, Redondo, Silvia Villacé, Palmisano, Silvia, Ruggiero, Silvia, Balogun, Simon, Cais, Simon, Cole, Simon, Federer, Simon, Le Roux, Simon, Ippoliti, Simona, Meneghini, Simona, Viola, Simona, Manfredelli, Simone, Novello, Simone, Gananadha, Sivakumar, Mesli, Smain Nabil, Kale, Smruti, Tani, Sobhana Iftekhar, Malik, Sobia, Anastasiadou, Sofia, Boligo, Sofia, Esposito, Sofia, Valanci, Sofia, Xenaki, Sofia, Pejkova, Sofija, Bandyopadhyay, Soham, Trungu, Sokol, Basu, Sompraka, Alkhatib, Sondo, Pérez-Bertólez, Sonia, Flores, Sonia Lopez, Donoghue, Sophie, Lunca, Sorinel, Orsoo, Soyombo, Potamianos, Spyridon, Devarakonda, Sreekar, Suresh, Sreelakshmi, Croghan, Stefanie M, Turi, Stefano, Capella, Stefano, Lucchini, Stefano, Magnone, Stefano, Salizzoni, Stefano, Scabini, Stefano, Scaringi, Stefano, Cioffi, Stefano Piero Bernardo, Seyfried, Steffen, Degener, Stephan, Potten, Stephanie, Taha-Mehlitz, Stephanie, Ali, Stephen, Angamuthu, Stephen, Mcaleer, Stephen, Knight, Stephen Richard, White, Stuart, Mantziari, Styliani, Kykalos, Styliano, Goh, Su Kah, Chowdhury, Subhadip Pal, Ibrahim, Sufyan, Elzwai, Suha, Bansal, Sujesh, Tripathy, Sujit, Amrayev, Sultan, Anwar, Sumadi Lukman, Banerjee, Sumit, Thakar, Sumit, Saeed, Summaya, Venkatappa, Sunil Kumar, Das, Sunit, Techapongsatorn, Suphakarn, Dube, Surya Kumar, Lee, Susan, González-Suárez, Susana, Henriques, Susana, Konjevoda, Suzana, Gisbertz, Suzanne, Bravo, Sybil Lizanne, Mannan, Syed, Bukhari, Syed Imran, Zafar, Syed Nabeel, Batista, Sylvia, Chin, Synn Lynn, Arif, Tahera, Lawal, Taiwo Akeem, Aktokmakyan, Talar Vartanoglu, Osborn, Tamara, Szakmany, Tama, Sztipits, Tamá, Triantafyllou, Tania, Valadez, Tania Abigail Cueto, Singh, Tanveer, Khaliq, Tanwir, Patel, Tapan, Fadalla, Tarig, Jichi, Tarik, Sammour, Tarik, Al-Shaiji, Tariq, Naggs, Taryn, Barišić, Tatjana, Nikolouzakis, Taxiarchi, Bisgin, Tayfun, Perra, Teresa, Uprak, Tevfik Kıvılcım, Dagklis, Themistokli, Liakakos, Theodore, Sidiropoulos, Theodoro, Adjeso, Theophilus Justus Kofi, Dölker, Theresa, Oung, Thida, Aherne, Thoma, Diehl, Thoma, Pinkney, Thoma, Raymond, Thoma, Rhomberg, Thoma, Schmitz-Rixen, Thoma, Madhuri, Thumuluru Kavitha, Lohmann, Tibor Karl, Yeoh, Tien, Zaimis, Tilemacho, Bright, Tim, Vilz, Tim O, Glowka, Tim R, Board, Timothy, Hardcastle, Timothy, Cohnert, Tina, Mahečić, Tina Tomić, William, Tinka George, Klatte, Tobia, Abbott, Tom, Watcyn-Jones, Tom, Mendes, Tome, Kulis, Tomislav, Sečan, Tomislav, Campagnaro, Tommaso, Frisoni, Tommaso, Simoncini, Tommaso, Violante, Tommaso, Safranovs, Toms Jani, Risteski, Toni, Pang, Tony, Akinyemi, Tosin, Yotsov, Tsanko, Laeke, Tsegazeab, Kochiyama, Tsukasa, Sholadoye, Tunde T, Alekberli, Tural, Ezomike, Uchechukwu, Giustizieri, Ugo, Grossi, Ugo, Köksoy, Ülkü Ceren, Bork, Ulrich, Kisser, Ulrich, Ronellenfitsch, Ulrich, Saeed, Umar, Bracale, Umberto, Jayarajah, Umesh, Rauf, Umme Habiba Abdul, Bumbasirevic, Uro, Ferrer, Ursula María Jariod, Ahmed, Usama, Bello, Usman Mohammed, Jogiat, Uzair, Sadia, Uzma, Galandarov, Vagif, Narayanan, Vairavan, Calu, Valentin, Bianchi, Valentina, Ciniero, Valeria, Tonini, Valeria, Silvestri, Vania, Vijay, Vardhini, Dewan, Varun, Lohsiriwat, Varut, Thuduvage, Vasanthika, Mousafeiris, Vasileio, Dragisic, Vedran, Sasireka, Veerasamy, Santric, Veljko, Kusuma, Venkata Ramana Murthy, Kolli, Venkata Satish, Alonso, Veronica, De Simone, Veronica, Picotti, Veronica, Martínez, Verónica Martín, Panduro-Correa, Vicky, Kakotkin, Victor, Angulo, Victor Pinto, Turrado-Rodriguez, Victor, Krishnamoorthy, Vijay, Ban, Vin Shen, Shah, Vinay, Maiola, Vincenza, Giordano, Vincenzo, La Vaccara, Vincenzo, Lizzi, Vincenzo, Papagni, Vincenzo, Schiavone, Vincenzo, Satchithanantham, Vinojan, Garcia-Virto, Virginia, Jimenez, Virginia, Kumar, Vishal, Shelat, Vishal, Bhat, Vivek, Sodhai, Vivek, Graziadei, Vivien, Kutuzov, Vladislav, Stoyanov, Vladislav, Oktseloglou, Vlasio, Flis, Vojko, Elhassan, Wael Atif Fadl, Yang, Wah, Soon, Wai Cheong, Tashkandi, Wail, Al-Khyatt, Waleed, Mabood, Waleed, Bijou, Walid, Wijenayake, Wasantha, D, Wasim, Krawczyk, Wiktor, Atkins, William, Bolton, William, White, William, Ceelen, Wim, Vagena, Xanthoula, Gozal, Yaacov, Baba, Yabasin Iddrisu, Subramani, Yamini, Jansen, Yanina, Mittal, Yash, Kara, Yasi̇n, Zwain, Yasir, Noureldin, Yasser, Alawneh, Yazan, Aydin, Yener, Lam, Yick Ho, Tang, Yita, Lim, Yizhe, Dean, Yomna, Tanas, Yousef, Su, Yu-Xiong, Fujimoto, Yuki, Altinel, Yuksel, Frolova, Yulia, Oshodi, Yusuf, Fadel, Zahir T, Zahid, Zahra, Elahi, Zain, Djama, Zakarya, Zaheen, Zakia, Jawad, Zaynab, Demetrashvili, Zaza, Gebremeskel, Zersenay, Gudisa, Zewdie, Alyami, Ziyad, Garoufalia, Zoe, Li, Zoe, Zimak, Zoran, Radin, Zorana, Balogh, Zsolt J, Smith, A, Mahmoud, Abdelrahman, Tarek, Ahmed, Moro, Alessandro (ORCID:0000-0002-6708-171X), Marra, Angelo Alessandro (ORCID:0000-0001-8384-5081), Ratto, Carlo (ORCID:0000-0002-0556-0037), D'acapito, Fabrizio, Rosa, Fausto (ORCID:0000-0002-7280-8354), Bussu, Francesco (ORCID:0000-0001-6261-2772), Colombo, Francesco, Franceschini, Gianluca (ORCID:0000-0002-2950-3395), Gasparini, Giulio (ORCID:0000-0001-5091-5178), Bianco, Giuseppe (ORCID:0000-0001-7451-4002), Brisinda, Giuseppe (ORCID:0000-0001-8820-9471), Marano, Luigi (ORCID:0000-0002-9833-8055), Fransvea, Pietro (ORCID:0000-0003-4969-3373), and Familiari, Pietro (ORCID:0000-0002-5181-2928)
Abstract: Background: Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods: This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low-middle-income countries. Results: In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of 'single-use' consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low-middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion: This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high- and low-middle-income countries.
Published: 2023

40. 2021 superoutburst of the WZ Sge-Type dwarf nova V627 Pegasi lacks an early superhump phase

Author: National Science Foundation (US), Science and Technology Facilities Council (UK), Japan Society for the Promotion of Science, European Commission, Slovak Research and Development Agency, Ministry of Science and Higher Education of the Russian Federation, VEGA Agency (Slovakia), Tampo, Yusuke, Kato, Taichi, Kojiguchi, Naoto, Shugarov, Sergey Yu., Itoh, Hiroshi, Matsumoto, Katsura, Tordai, Tamás, Kiyota, Seiichiro, Ruiz, Javier, Dubovsky, Pavol A., Pavlenko, Elena P., Antonyuk, Oksana, Sosnovskij, Aleksei A., Baklanov, Alex V., Vanmunster, Tonny, Maeda, Yutaka, Nogami, Daisaku, National Science Foundation (US), Science and Technology Facilities Council (UK), Japan Society for the Promotion of Science, European Commission, Slovak Research and Development Agency, Ministry of Science and Higher Education of the Russian Federation, VEGA Agency (Slovakia), Tampo, Yusuke, Kato, Taichi, Kojiguchi, Naoto, Shugarov, Sergey Yu., Itoh, Hiroshi, Matsumoto, Katsura, Tordai, Tamás, Kiyota, Seiichiro, Ruiz, Javier, Dubovsky, Pavol A., Pavlenko, Elena P., Antonyuk, Oksana, Sosnovskij, Aleksei A., Baklanov, Alex V., Vanmunster, Tonny, Maeda, Yutaka, and Nogami, Daisaku
Abstract: Superoutbursts in WZ Sge-type dwarf novae (DNe) are characterized by both early superhumps and ordinary superhumps originating from the 2 : 1 and 3 : 1 resonances, respectively. However, some WZ Sge-type DNe show a superoutburst lacking early superhumps; it is not well established how these differ from superoutbursts with an early superhump phase. We report time-resolved photometric observations of the WZ Sge-type DN V627 Peg during its 2021 superoutburst. The detection of ordinary superhumps before the superoutburst peak highlights that this 2021 superoutburst of V627 Peg, like that in 2014, did not feature an early superhump phase. The duration of stage B superhumps was slightly longer in the 2010 superoutburst accompanied by early superhumps than that in the 2014 and 2021 superoutbursts, which lacked early superhumps. This result suggests that an accretion disk experiencing the 2 : 1 resonance may have a larger mass at the inner part of the disk and hence needs more time for the inner disk to become eccentric. The presence of a precursor outburst in the 2021 superoutburst suggests that the maximum disk radius should be smaller than that of the 2014 superoutburst, even though the duration of quiescence was longer than that before the 2021 superoutburst. This could be accomplished if the 2021 superoutburst was triggered as an inside-out outburst or if the mass transfer rate in quiescence changes by a factor of two, suggesting that the outburst mechanism and quiescence state of WZ Sge-type DNe may have more variety than ever thought.
Published: 2023

41. Regional Disparity in First-in-Class Anticancer Drug Development in the US, EU, and Japan

Author: Hino, Yoshitsugu, Okada, Miu, Hallgreen, Christine Erikstrup, De Bruin, Marie Louise, Doty, Randell E., Matsumaru, Naoki, Tsukamoto, Katsura, Hino, Yoshitsugu, Okada, Miu, Hallgreen, Christine Erikstrup, De Bruin, Marie Louise, Doty, Randell E., Matsumaru, Naoki, and Tsukamoto, Katsura
Abstract: A cancer diagnosis is devastating for both patients and their caregivers. With high morbidity and mortality, cancer is a serious disease area with unmet medical needs. Thus, innovative anticancer drugs are in high demand worldwide but are unequally available. Our study focused on first-in-class (FIC) anticancer drugs and investigated their actual development situation in the United States (US), European Union (EU), and Japan over the last two decades to obtain fundamental information for understanding how the aforementioned demands are met, especially to eliminate drug lags among regions. We identified FIC anticancer drugs using pharmacological classes for the Japanese drug pricing system. Most FIC anticancer drugs were first approved in the US. The median approval time for anticancer drugs in new pharmacological classes during the last two decades in Japan (5072d) was significantly different (p=0.043) from that in the US (4253d), though it was not significantly different from that in the EU (4655d). Submission and approval lags between the US and Japan were more than 2.1 years, and those between the EU and Japan were more than 1.2 years. However, those between the US and the EU were less than 0.8 years. The development rate of FIC anticancer drugs in Japan is slower than in other regions. Even among developed countries, FIC anticancer drug lags exist. Considering the high impact of FIC anticancer drugs on society worldwide, we should work together to reduce drug lag among regions using an improved international cooperative framework.
Published: 2023

42. DeepCrysTet: A Deep Learning Approach Using Tetrahedral Mesh for Predicting Properties of Crystalline Materials

Author: Tsuruta, Hirofumi, Katsura, Yukari, Kumagai, Masaya, Tsuruta, Hirofumi, Katsura, Yukari, and Kumagai, Masaya
Abstract: Machine learning (ML) is becoming increasingly popular for predicting material properties to accelerate materials discovery. Because material properties are strongly affected by its crystal structure, a key issue is converting the crystal structure into the features for input to the ML model. Currently, the most common method is to convert the crystal structure into a graph and predicting its properties using a graph neural network (GNN). Some GNN models, such as crystal graph convolutional neural network (CGCNN) and atomistic line graph neural network (ALIGNN), have achieved highly accurate predictions of material properties. Despite these successes, using a graph to represent a crystal structure has the notable limitation of losing the crystal structure's three-dimensional (3D) information. In this work, we propose DeepCrysTet, a novel deep learning approach for predicting material properties, which uses crystal structures represented as a 3D tetrahedral mesh generated by Delaunay tetrahedralization. DeepCrysTet provides a useful framework that includes a 3D mesh generation method, mesh-based feature design, and neural network design. The experimental results using the Materials Project dataset show that DeepCrysTet significantly outperforms existing GNN models in classifying crystal structures and achieves state-of-the-art performance in predicting elastic properties.
Published: 2023

43. RefEgo: Referring Expression Comprehension Dataset from First-Person Perception of Ego4D

Author: Kurita, Shuhei, Katsura, Naoki, Onami, Eri, Kurita, Shuhei, Katsura, Naoki, and Onami, Eri
Abstract: Grounding textual expressions on scene objects from first-person views is a truly demanding capability in developing agents that are aware of their surroundings and behave following intuitive text instructions. Such capability is of necessity for glass-devices or autonomous robots to localize referred objects in the real-world. In the conventional referring expression comprehension tasks of images, however, datasets are mostly constructed based on the web-crawled data and don't reflect diverse real-world structures on the task of grounding textual expressions in diverse objects in the real world. Recently, a massive-scale egocentric video dataset of Ego4D was proposed. Ego4D covers around the world diverse real-world scenes including numerous indoor and outdoor situations such as shopping, cooking, walking, talking, manufacturing, etc. Based on egocentric videos of Ego4D, we constructed a broad coverage of the video-based referring expression comprehension dataset: RefEgo. Our dataset includes more than 12k video clips and 41 hours for video-based referring expression comprehension annotation. In experiments, we combine the state-of-the-art 2D referring expression comprehension models with the object tracking algorithm, achieving the video-wise referred object tracking even in difficult conditions: the referred object becomes out-of-frame in the middle of the video or multiple similar objects are presented in the video. Codes are available at https://github.com/shuheikurita/RefEgo, Comment: 15 pages, 11 figures. ICCV2023. Codes are available at https://github.com/shuheikurita/RefEgo
Published: 2023

44. Endocrine mucin-producing sweat gland carcinoma of the cheek

Author: Katsura, Yuri, Katsura, Yuri, Sasaki, Azusa, Minagawa, Daisuke, Kato, Ikuma, Ueda, Takashi, Katsura, Yuri, Katsura, Yuri, Sasaki, Azusa, Minagawa, Daisuke, Kato, Ikuma, and Ueda, Takashi
Abstract: Endocrine mucin-producing sweat gland carcinoma (EMPSGC) is a low-grade adnexal malignant neoplasm. We report a 90-year-old man who had a hard, dome-shaped tumor approximately 9 mm in diameter on the left cheek. Dermoscopy showed an overall, non-uniformly light-pink tumor with crust. The diagnosis of EMPSGC is made histologically from excisional biopsy. No signs of recurrent disease were evident at 42 months postoperatively.
Published: 2021

45. Endocrine mucin-producing sweat gland carcinoma of the cheek

Author: Katsura, Yuri, Katsura, Yuri, Sasaki, Azusa, Minagawa, Daisuke, Kato, Ikuma, Ueda, Takashi, Katsura, Yuri, Katsura, Yuri, Sasaki, Azusa, Minagawa, Daisuke, Kato, Ikuma, and Ueda, Takashi
Abstract: Endocrine mucin-producing sweat gland carcinoma (EMPSGC) is a low-grade adnexal malignant neoplasm. We report a 90-year-old man who had a hard, dome-shaped tumor approximately 9 mm in diameter on the left cheek. Dermoscopy showed an overall, non-uniformly light-pink tumor with crust. The diagnosis of EMPSGC is made histologically from excisional biopsy. No signs of recurrent disease were evident at 42 months postoperatively.
Published: 2021

46. Spontaneously broken supersymmetric fracton phases with fermionic subsystem symmetries

Author: Katsura, Hosho, Nakayama, Yu, Katsura, Hosho, and Nakayama, Yu
Abstract: We construct a purely fermionic system with spontaneously broken supersymmetry that shares the common feature with a fracton phase of matter. Our model is gapless due to the Nambu-Goldstone mechanism. It shows a ground-state degeneracy with the "Area-law" entropy due to fermionic subsystem symmetries. In the strongly coupled limit, it becomes a variant of the Nicolai model, and the ground-state degeneracy shows the "Volume-law" entropy. Gauging the fermionic subsystem symmetry has an t'Hooft anomaly by itself, but the would-be gauged theory may possess a fermionic defect that is immobile in certain spatial directions., Comment: 20 pages, v2: minor changes, reference added
Published: 2022
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47. Duality, Criticality, Anomaly, and Topology in Quantum Spin-1 Chains

Author: Yang, Hong, Li, Linhao, Okunishi, Kouichi, Katsura, Hosho, Yang, Hong, Li, Linhao, Okunishi, Kouichi, and Katsura, Hosho
Abstract: In quantum spin-1 chains, there is a nonlocal unitary transformation known as the Kennedy-Tasaki transformation $U_{\text{KT}}$, which defines a duality between the Haldane phase and the $\mathbb{Z}_2 \times \mathbb{Z}_2$ symmetry-breaking phase. In this paper, we find that $U_{\text{KT}}$ also defines a duality between a topological Ising critical phase and a trivial Ising critical phase, which provides a "hidden symmetry breaking" interpretation for the topological criticality. Moreover, since the duality relates different phases of matter, we argue that a model with self-duality (i.e., invariant under $U_{\text{KT}}$) is natural to be at a critical or multicritical point. We study concrete examples to demonstrate this argument. In particular, when $H$ is the Hamiltonian of the spin-1 antiferromagnetic Heisenberg chain, we prove that the self-dual model $H + U_{\text{KT}} H U_{\text{KT}}$ is exactly equivalent to a gapless spin-$1/2$ XY chain, which also implies an emergent quantum anomaly. On the other hand, we show that the topological and trivial Ising criticalities that are dual to each other meet at a multicritical point which is indeed self-dual., Comment: 16 pages, 10 figures
Published: 2022
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48. Phase diagram of an extended parafermion chain

Author: Wouters, Jurriaan, Hassler, Fabian, Katsura, Hosho, Schuricht, Dirk, Wouters, Jurriaan, Hassler, Fabian, Katsura, Hosho, and Schuricht, Dirk
Abstract: We study the phase diagram of an extended parafermion chain, which,in addition to terms coupling parafermions on neighbouring sites, alsopossesses terms involving four sites. Via a Fradkin–Kadanofftransformation the parafermion chain is shown to be equivalent to thenon-chiral \mathbf{\mathbb{Z}_3}ℤ3axial next-nearest neighbour Potts model. We discuss a possibleexperimental realisation using hetero-nanostructures. The phase diagramcontains several gapped phases, including a topological phase where thesystem possesses three (nearly) degenerate ground states, and a gaplessLuttinger-liquid phase.
Published: 2022

49. Effects of data bias on machine-learning–based material discovery using experimental property data

Author: 00881054, 90304021, Kumagai, Masaya, Ando, Yuki, Tanaka, Atsumi, Tsuda, Koji, Katsura, Yukari, Kurosaki, Ken, 00881054, 90304021, Kumagai, Masaya, Ando, Yuki, Tanaka, Atsumi, Tsuda, Koji, Katsura, Yukari, and Kurosaki, Ken
Abstract: Materials informatics (MI) research, which is the discovery of new materials through machine learning (ML) using large-scale material data, has attracted considerable attention in recent years. However, in general, the large-scale material data used in MI are biased owing to differences in the targeted material domains. Moreover, most studies on MI have not clearly demonstrated the influence of data bias on ML models. In this study, we clarify the influence of data bias on ML models by combining the concept of the applicability domain and clustering for large-scale experimental property data in the Starrydata2 material database previously developed by our group. The results show that data bias influences the error and reliability of the predictions made by the ML model. The predictions of the ML model within the applicability domain are highly reliable compared to those made outside the domain. This indicates that the material space that can be reliably discovered by the constructed ML model is limited. Nonetheless, we apply the ML model to a large dataset comprising various material classes and find that new materials similar to known materials can be proposed within a limited space. Thus, our findings demonstrate the importance of considering data bias when constructing and evaluating ML models in MI.
Published: 2022

50. Association between sleep habits and behavioral problems in early adolescence: a descriptive study

Author: 70735464, Hosokawa, Rikuya, Tomozawa, Riho, Fujimoto, Megumi, Anzai, Sumire, Sato, Mai, Tazoe, Haruko, Katsura, Toshiki, 70735464, Hosokawa, Rikuya, Tomozawa, Riho, Fujimoto, Megumi, Anzai, Sumire, Sato, Mai, Tazoe, Haruko, and Katsura, Toshiki
Abstract: [Background] Sleep habits are related to children's behavior, emotions, and cognitive functioning. A strong relationship exists between sleep habits and behavioral problems. However, precisely which sleep habits are associated with behavioral problems remains unclear. Therefore, the purpose of this study is to clarify the relationship between sleep habits and behavioral problems in early adolescence. [Methods] This study used data from a larger longitudinal research, specifically, data from the year 2021. First-year junior high school students (12–14 years) in Japan were surveyed; their parents (N = 1288) completed a parent-report questionnaire. The main survey items were subject attributes, the Pittsburgh Sleep Quality Index (PSQI), and the Strength and Difficulties Questionnaire (SDQ). [Results] Of the 652 valid responses received, 604 individuals who met the eligibility criteria (no developmental disability in the child and completion of all survey items) were included in the analysis. To examine the relationship between sleep habits and behavioral problems, logistic regression analysis using the inverse weighted method with propensity score was conducted with sleep habits (sleep quality, time to fall asleep, sleep duration, sleep efficiency, sleep difficulty, use of sleeping pills, difficulty waking during the day, and sleep disturbances) as explanatory variables and behavioral problems (overall difficulty in SDQ) as objective variables. The propensity score was calculated by employing the logistic regression using the inverse weighted method based on propensity scores. Propensity scores were calculated based on gender, family structure, household income, and parental educational background. The results showed that behavioral problems tended to be significantly higher in the group at risk for sleep quality, sleep difficulties, daytime arousal difficulties, and sleep disturbances than in the group with no risk. [Conclusion] The results suggest that deterioration
Published: 2022

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