Results 41 to 50 of about 2,268,593 (294)

Effective Rheology of Bubbles Moving in a Capillary Tube

, 2012
We calculate the average volumetric flux versus pressure drop of bubbles moving in a single capillary tube with varying diameter, finding a square-root relation from mapping the flow equations onto that of a driven overdamped pendulum. The calculation is
Abelev, B, Adam, J, Adamova, D, Adare, AM, Aggarwal, MM, Agocs, AG, Agostinelli, A, Ahammed, Z, Ahmad, N, Ahn, SU, Akindinov, A, Alaniz, EC, Aleksandrov, D, Alessandro, B, Alici, A, Alkin, A, Alme, J, Alt, T, Altini, V, Altinpinar, S, Altsybeev, I, Andrei, C, Andronic, A, Anguelov, V, Anielski, J, Anson, C, Anticic, T, Antinori, F, Antonioli, P, Aphecetche, L, Appelshauser, H, Arbor, N, Arcelli, S, Arend, A, Armesto, N, Arnaldi, R, Aronsson, T, Arsene, IC, Arslandok, M, Asryan, A, Augustinus, A, Averbeck, R, Avina, EA, Awes, TC, Aysto, J, Azmi, MD, Bach, M, Badala, A, Baek, YW, Bailhache, R, Baillie, OV, Bala, R, Balbastre, GC, Baldisseri, A, Baldit, A, Ban, J, Baral, RC, Barbera, R, Bari, DD, Barile, F, Barnafoldi, GG, Barnby, LS, Barret, V, Barros, GOVD, Barroso, VC, Bartke, J, Basile, M, Bastid, N, Bathen, B, Batigne, G, Batyunya, B, Baumann, C, Bearden, IG, Beck, H, Belikov, I, Bellini, F, Bellwied, R, Belmont-Moreno, E, Bencedi, G, Beole, S, Berceanu, I, Bercuci, A, Berdnikov, Y, Berenyi, D, Bergmann, C, Berzano, D, Betev, L, Bhasin, A, Bhati, AK, Bianchi, L, Bianchi, N, Bianchin, C, Bielcik, J, Bielcikova, J, Bjelogrlic, S, Blanco, F, Blanco, F, Blau, D, Blume, C, Boccioli, M, Bock, N, Bogdanov, A, Boggild, H, Bogolyubsky, M, Boldizsar, L, Bombara, M, Book, J, Borel, H, Borissov, A, Bornec, YL, Bose, S, Bossu, F, Botje, M, Bottger, S, Boyer, B, Braidot, E, Braun-Munzinger, P, Bregant, M, Breitner, T, Browning, TA, Broz, M, Brun, R, Bruna, E, Bruno, GE, Budnikov, D, Buesching, H, Bufalino, S, Bugaiev, K, Busch, O, Bustamante, RTJ, Buthelezi, Z, Caffarri, D, Cahuantzi, MR, Cai, X, Caines, H, Camerini, P, Carena, F, Carena, W, Carminati, F, Caro, AD, Castellanos, JC, Castro, XS, Casula, EAR, Cataldo, GD, Catanescu, V, Cavicchioli, C, Cepila, J, Cerello, P, Cervantes, IM, Chang, B, Chapeland, S, Charvet, JL, Chattopadhyay, S, Chattopadhyay, S, Chawla, I, Cherney, M, Cheshkov, C, Cheynis, B, Chiavassa, E, Chinellato, DD, Chochula, P, Chojnacki, M, Christakoglou, P, Christensen, CH, Christiansen, P, Chujo, T, Chung, SU, Cicalo, C, Cifarelli, L, Cindolo, F, Cleymans, J, Coccetti, F, Colamaria, F, Colella, D, Collaboration, ALICE, Constantin, P, Contin, G, Contreras, JG, Corchero, MAD, Cormier, TM, Corral, GH, Cortese, P, Cosentino, MR, Costa, F, Cotallo, ME, Crescio, E, Crochet, P, Cuautle, E, Cunqueiro, L, Cuveland, JD, Dainese, A, Dalsgaard, HH, Danu, A, Das, D, Das, I, Das, K, Dash, A, Dash, S, Davalos, AM, De, S, Delagrange, H, Deloff, A, Demanov, V, Denes, E, Deppman, A, Diaz, AC, Dietel, T, Divia, R, Djuvsland, O, Dobrin, A, Dobrowolski, T, Dominguez, I, Don, CKK, Donigus, B, Dordic, O, Driga, O, Dubey, AK, Ducroux, L, Dupieux, P, Elia, D, Emschermann, D, Engel, H, Erasmo, GD, Erdal, HA, Espagnon, B, Estienne, M, Esumi, S, Evans, D, Eyyubova, G, Fabris, D, Faivre, J, Falchieri, D, Falco, AD, Fantoni, A, Fasel, M, Fearick, R, Fedunov, A, Fehlker, D, Feldkamp, L, Felea, D, Feofilov, G, Ferreiro, EG, Ferretti, A, Ferretti, R, Ferroli, RB, Figiel, J, Figueredo, MAS, Filchagin, S, Filho, EPDO, Filho, NC, Finogeev, D, Fionda, FM, Fiore, EM, Floris, M, Foertsch, S, Foka, P, Fokin, S, Fragiacomo, E, Fragkiadakis, M, Frankenfeld, U, Fuchs, U, Furget, C, Gaardhoje, JJ, Gagliardi, M, Gago, A, Gallio, M, Gangadharan, DR, Ganoti, P, Garabatos, C, Garcia, GM, Garcia-Solis, E, Garishvili, I, Gerhard, J, Germain, M, Geuna, C, Gheata, A, Gheata, M, Ghidini, B, Ghosh, P, Gianotti, P, Giglio, CD, Girard, MF, Girard, MR, Giubellino, P, Gladysz-Dziadus, E, Glassel, P, Godoy, DAMD, Gomez, R, Gonzalez-Trueba, LH, Gonzalez-Zamora, P, Gorbunov, S, Goswami, A, Gotovac, S, Grabski, V, Graczykowski, LK, Grajcarek, R, Grelli, A, Grigoras, A, Grigoras, C, Grigoriev, V, Grigoryan, A, Grigoryan, S, Grinyov, B, Grion, N, Gros, P, Grosse-Oetringhaus, JF, Grossiord, JY, Grosso, R, Gruttola, DD, Guber, F, Guernane, R, Guerzoni, B, Guevara, PLD, Guilbaud, M, Gulbrandsen, K, Gunji, T, Gupta, A, Gupta, R, Gutbrod, H, Gutierrez, CG, Haaland, O, Hadjidakis, C, Haiduc, M, Haller, BV, Hamagaki, H, Hamar, G, Han, BH, Hanratty, LD, Hansen, A, Harmanova, Z, Harris, JW, Hartig, M, Hasegan, D, Hatzifotiadou, D, Hayrapetyan, A, Heckel, ST, Heide, M, Helstrup, H, Herghelegiu, A, Hernandez, JFC, Herrmann, N, Hetland, KF, Hicks, B, Hille, PT, Hippolyte, B, Horaguchi, T, Hori, Y, Hristov, P, Hrivnacova, I, Huang, M, Huber, S, Humanic, TJ, Hwang, DS, Ichou, R, Ilkaev, R, Ilkiv, I, Inaba, M, Incani, E, Innocenti, GM, Innocenti, PG, Ippolitov, M, Irfan, M, Ivan, C, Ivanov, A, Ivanov, M, Ivanov, V, Ivanytskyi, O, Jacholkowski, A, Jacobs, PM, Jancurova, L, Jang, HJ, Jangal, S, Janik, MA, Janik, R, Jayarathna, PHSY, Jena, S, Jirden, L, Jones, PG, Jung, H, Jusko, A, Kaidalov, AB, Kakoyan, V, Kalcher, S, Kalinak, P, Kalisky, M, Kalliokoski, T, Kalweit, A, Kanaki, K, Kang, JH, Kaplin, V, Karampatsos, LX, Karavichev, O, Karavicheva, T, Karpechev, E, Kazantsev, A, Kebschull, U, Keidel, R, Khan, MM, Khan, P, Khan, SA, Khanzadeev, A, Kharlov, Y, Kileng, B, Kim, B, Kim, DJ, Kim, DW, Kim, JH, Kim, JS, Kim, M, Kim, S, Kim, SH, Kim, T, Kirsch, S, Kisel, I, Kiselev, S, Kisiel, A, Klay, JL, Klein, J, Klein-Bosing, C, Kliemant, M, Kluge, A, Knichel, ML, Knospe, AG, Koch, K, Kohler, MK, Kolk, NVD, Kolojvari, A, Kondratiev, V, Kondratyeva, N, Konevskikh, A, Korneev, A, Kour, R, Kowalski, M, Kox, S, Kral, J, Kralik, I, Kramer, F, Kraus, I, Krawutschke, T, Krelina, M, Kretz, M, Krivda, M, Krizek, F, Krus, M, Kryshen, E, Krzewicki, M, Kucheriaev, Y, Kuhn, C, Kuijer, PG, Kurashvili, P, Kurepin, A, Kurepin, AB, Kuryakin, A, Kushpil, S, Kushpil, V, Kvaerno, H, Kweon, MJ, Kwon, Y, Lakomov, I, Langoy, R, Lara, C, Lara, CEP, Lardeux, A, Lazzeroni, C, Lea, R, Lee, KS, Lee, SC, Leeuwen, MV, Lefevre, F, Lehnert, J, Leistam, L, Lenhardt, M, Lenti, V, Leon, H, Levai, P, Lezama, EP, Liberto, SD, Lien, J, Lietava, R, Lindal, S, Lindenstruth, V, Lippmann, C, Lisa, MA, Liu, L, Loenne, PI, Loggins, VR, Loginov, V, Lohn, S, Lohner, D, Loizides, C, Loo, KK, Lopez, X, Lovhoiden, G, Lu, XG, Luettig, P, Lunardon, M, Luo, J, Luparello, G, Luquin, L, Luzzi, C, Ma, K, Ma, R, Madagodahettige-Don, DM, Maevskaya, A, Mager, M, Mahapatra, DP, Maire, A, Majumdar, AKD, Majumdar, MRD, Mal'Kevich, D, Malaev, M, Maldonado, IC, Malinina, L, Malzacher, P, Mamonov, A, Manceau, L, Mangotra, L, Manko, V, Manso, F, Manzari, V, Mao, Y, Marchisone, M, Marco, ND, Mares, J, Margagliotti, GV, Margotti, A, Marin, A, Markert, C, Martashvili, I, Martinengo, P, Martinez, MI, Martynov, Y, Mas, A, Masciocchi, S, Masera, M, Masoni, A, Masoodi, AA, Massacrier, L, Mastromarco, M, Mastroserio, A, Matthews, ZL, Matyja, A, Mauro, AD, Mayani, D, Mayer, C, Mazer, J, Mazzoni, MA, Meddi, F, Meethaleveedu, GK, Menchaca-Rocha, A, Meres, M, Miake, Y, Milano, L, Milosevic, J, Mischke, A, Mishra, AN, Miskowiec, D, Mitu, C, Mlynarz, J, Mohanty, AK, Mohanty, B, Molina, RA, Molnar, L, Monteno, M, Montero, AJR, Montes, E, Montoya, CAC, Monzon, IL, Moon, T, Morales, YC, Morando, M, Moretto, S, Morsch, A, Muccifora, V, Mudnic, E, Muhuri, S, Muller, H, Munhoz, MG, Munoz, GT, Musa, L, Musso, A, Nandi, BK, Nania, R, Nappi, E, Nattrass, C, Naumov, NP, Navin, S, Nayak, TK, Nazarenko, S, Nazarov, G, Nedosekin, A, Nezza, PD, Nicassio, M, Nielsen, BS, Niida, T, Nikolaev, S, Nikolic, V, Nikulin, S, Nikulin, V, Nilsen, BS, Nilsson, MS, Noferini, F, Nomokonov, P, Nooren, G, Novitzky, N, Nyanin, A, Nyatha, A, Nygaard, C, Nystrand, J, Ochirov, A, Oeschler, H, Oh, S, Oh, SK, Oleniacz, J, Oppedisano, C, Orduna, DC, Ortona, G, Oskarsson, A, Ostrowski, P, Otwinowski, J, Ovrebekk, G, Oyama, K, Ozawa, K, Pachmayer, Y, Pachr, M, Padilla, F, Pagano, P, Paic, G, Painke, F, Pajares, C, Pal, S, Pal, SK, Palaha, A, Palmeri, A, Palomo, LV, Papikyan, V, Pappalardo, GS, Park, WJ, Pasquale, SD, Passfeld, A, Pastircak, B, Patalakha, DI, Paticchio, V, Pavlinov, A, Pawlak, T, Pedrosa, FBDS, Peitzmann, T, Peresunko, D, Perez, JM, Perini, D, Perrino, D, Peryt, W, Pesci, A, Peskov, V, Pestov, Y, Petracek, V, Petran, M, Petris, M, Petrov, P, Petrovici, M, Petta, C, Piano, S, Piccotti, A, Pikna, M, Pillot, P, Pinazza, O, Pinsky, L, Pitz, N, Piuz, F, Piyarathna, DB, Ploskon, M, Pluta, J, Pocheptsov, T, Pochybova, S, Podesta-Lerma, PLM, Poghosyan, MG, Polak, K, Polichtchouk, B, Pop, A, Porteboeuf-Houssais, S, Pospisil, V, Potukuchi, B, Prasad, SK, Preghenella, R, Prino, F, Pruneau, CA, Pshenichnov, I, Puchagin, S, Puddu, G, Pulvirenti, A, Punin, V, Putis, M, Putschke, J, Quercigh, E, Qvigstad, H, Rachevski, A, Rademakers, A, Radomski, S, Raiha, TS, Rak, J, Rakotozafindrabe, A, Ramello, L, Raniwala, R, Raniwala, S, Rasanen, SS, Rascanu, BT, Rathee, D, Read, KF, Real, JS, Redlich, K, Reichelt, P, Reicher, M, Renfordt, R, Reolon, AR, Reshetin, A, Rettig, F, Revol, JP, Reyes, AR, Reygers, K, Riccati, L, Ricci, RA, Richert, T, Richter, M, Riedler, P, Riegler, W, Riggi, F, Rinella, GA, Rocca, PL, Roed, K, Rohr, D, Rohrich, D, Roman, VC, Romeo, GC, Romita, R, Ronchetti, F, Rooij, RD, Rosnet, P, Rossegger, S, Rossi, A, Roukoutakis, F, Roy, C, Roy, P, Rui, R, Ryabinkin, E, Rybicki, A, Sadovsky, S, Safarik, K, Sahoo, R, Sahu, PK, Saini, J, Sakaguchi, H, Sakai, S, Sakata, D, Salazar, SA, Salgado, CA, Salzwedel, J, Sambyal, S, Samsonov, V, Sanchez, EDC, Sandor, L, Sandoval, A, Sano, M, Sano, S, Santo, R, Santoro, R, Sarkamo, J, Scapparone, E, Scarlassara, F, Scharenberg, RP, Schiaua, C, Schicker, R, Schmidt, C, Schmidt, HR, Schreiner, S, Schuchmann, S, Schukraft, J, Schutz, Y, Schwarz, K, Schweda, K, Scioli, G, Scomparin, E, Scott, PA, Scott, R, Segato, G, Selyuzhenkov, I, Senyukov, S, Seo, J, Serci, S, Serradilla, E, Sevcenco, A, Sgura, I, Shabetai, A, Shabratova, G, Shahoyan, R, Sharma, N, Sharma, S, Shigaki, K, Shimomura, M, Shtejer, K, Sibiriak, Y, Siciliano, M, Sicking, E, Siddhanta, S, Siemiarczuk, T, Silvermyr, D, Silvestre, C, Simonetti, G, Singaraju, R, Singh, R, Singha, S, Sinha, BC, Sinha, T, Sitar, B, Sitta, M, Skaali, TB, Skjerdal, K, Smakal, R, Smirnov, N, Snellings, RJM, Sogaard, C, Soltz, R, Son, H, Song, J, Song, M, Soos, C, Soramel, F, Sputowska, I, Spyropoulou-Stassinaki, M, Srivastava, BK, Stachel, J, Stan, I, Stan, I, Stefanek, G, Stefanini, G, Steinbeck, T, Steinpreis, M, Stenlund, E, Steyn, G, Stocco, D, Stolpovskiy, M, Strabykin, K, Strmen, P, Suaide, AAP, Sugitate, T, Suire, C, Sukhorukov, M, Sultanov, R, Sumbera, M, Susa, T, Szarka, I, Szostak, A, Tagridis, C, Takahashi, J, Takaki, JDT, Tauro, A, Teixido, JP, Telesca, A, Tellez, AF, Terrevoli, C, Thader, J, Thomas, D, Tieulent, R, Timmins, AR, Tlusty, D, Tobon, CAM, Toia, A, Toledo, ASD, Torii, H, Torres, EL, Toscano, L, Tosello, F, Truesdale, D, Trzaska, WH, Tsuji, T, Tumkin, A, Turrisi, R, Tveter, TS, Ulery, J, Ullaland, K, Ulrich, J, Uras, A, Urban, J, Urciuoli, GM, Usai, GL, Uysal, AK, Vajzer, M, Vala, M, Valle, ZCD, Vallero, S, Vannucci, L, Vargas, A, Vargas, HL, Varma, R, Vasileiou, M, Vasiliev, A, Vasquez, MAS, Vechernin, V, Velasquez, AO, Veldhoen, M, Venaruzzo, M, Vercellin, E, Vergara, S, Vernekohl, DC, Vernet, R, Verweij, M, Vickovic, L, Viesti, G, Vikhlyantsev, O, Vilakazi, Z, Villar, EC, Vinogradov, A, Vinogradov, L, Vinogradov, Y, Virgili, T, Viyogi, YP, Vodopyanov, A, Voloshin, K, Voloshin, S, Volpe, G, Vranic, D, Vrlakova, J, Vulpescu, B, Vyushin, A, Vyvre, PV, Wagner, B, Wagner, V, Wan, R, Wang, D, Wang, M, Wang, Y, Wang, Y, Watanabe, K, Wessels, JP, Westerhoff, U, Wiechula, J, Wikne, J, Wilde, M, Wilk, A, Wilk, G, Williams, MCS, Windelband, B, Yang, H, Yang, S, Yasnopolskiy, S, Yi, J, Yin, Z, Yokoyama, H, Yoo, IK, Yoon, J, Yu, W, Yuan, X, Yushmanov, I, Zach, C, Zampolli, C, Zaporozhets, S, Zarochentsev, A, Zavada, P, Zaviyalov, N, Zbroszczyk, H, Zelnicek, P, Zetina, LM, Zgura, IS, Zhalov, M, Zhang, X, Zhou, D, Zhou, F, Zhou, Y, Zhu, X, Zichichi, A, Zimmermann, A, Zinovjev, G, Zoccarato, Y, Zynovyev, M   +972 more
core   +1 more source

Comparative forecasting models accuracy of short-term natural rubber prices. [PDF]

, 2011
The study describes a number of short-term expost forecasts of econometric models and univariate model of autoregressive-integrated-moving average (ARIMA) model of Natural Rubber (NR) prices SMR20 (Standard Malaysia Rubber Grade 20) in the Malaysia ...
Aye, Aye Khin, Mohamed, ZainalAbidin, Shamsudin, Mad Nasir   +2 more
core   +1 more source

PENDUGAAN MODEL PERAMALAN HARGA EKSPOR KOPI INDONESIA

Agritepa, 2020
This study aims to examine the best forecasting model for the export price of Indonesian coffee. The data used in this study are monthly data on coffee prices from January 2012 to September 2019.
FAUZI EMLAN, Wawan Eka Putra, Andi Ishak, Herlena Bidi Astuti   +3 more
doaj   +1 more source

FORECASTING JUMLAH PENERIMA PROGRAM SEMBAKO DI KOTA LANGSA MENGGUNAKAN METODE SINGLE MOVING AVERAGE

JURNAL GAMMA-PI, 2023
Upaya penanggulangan kemiskinan yang dilakukan pemerintah salah satunya adalah Program Sembako. Program sembako adalah  program bantuan sosial pangan yang pengembangan dari program Bantuan Pangan Nontunai (BPNT), program ini diberikan ke penerima manfaat untuk mengakses bahan pangan  melalui Kartu Keluarga Sejahtera (KKS) sebagai instrumen pembayaran ...
Putri, Gita Amanda, Fairus, Fairus, Saiman, Saiman   +2 more
openaire   +2 more sources

UPAYA PENINGKATAN PRODUKSI KOPI DENGAN PANEN PETIK MERAH DI KABUPATEN REJANG LEBONG

Agritepa, 2020
This study aims to examine the best forecasting model for the export price of Indonesian coffee. The data used in this study are monthly data on coffee prices from January 2012 to September 2019.
Afrizon Afrizon, Andi Ishak, Darkam Mussaddad   +2 more
doaj   +1 more source

A Hybrid Stock Price Prediction Model Based on PRE and Deep Neural Network

Data, 2022
Stock prices are volatile due to different factors that are involved in the stock market, such as geopolitical tension, company earnings, and commodity prices, affecting stock price.
Srivinay, B. C. Manujakshi, Mohan Govindsa Kabadi, Nagaraj Naik   +3 more
doaj   +1 more source

Peramalan Penjualan Semen Menggunakan Metode Single Moving Average dan Double Moving Average

JURIKOM (Jurnal Riset Komputer)
UD. Kurnia Makmur is a shop that sells various building materials including cement. Previously, the shop UD. Kurnia Makmur still had difficulty in determining the amount of cement stock that should be provided, UD. Kurnia Makmur often also experiences shortages or excess stock due to the rise and fall of inconsistent market demand.
Nur Lutfi Yuliana, Nirma Ceisa Santi, Nur Mahmudah   +2 more
openaire   +1 more source

Sistem Informasi Prediksi Stok Sparepart Motor Menggunakkan Metode Single Moving Average

Bianglala Informatika, 2023
Usaha dagang adalah salah satu kegiatan penjualan dan pembelian barang atau jasa dengan tujuan untuk meraih keuntungan. Penjualan sparepart motor adalah jenis usaha yang menjual produk sparepart motor seperti kampas rem, busi, ban, shock, oli mesin dan sparepart kendaraan bermotor lainnya.
Yusmawan Dwi Suseno, Eko Purwanto, Nurmalitasari Nurmalitasari   +2 more
openaire   +1 more source

Properties of Umbral Dots as Measured from the New Solar Telescope Data and MHD Simulations

, 2011
We studied bright umbral dots (UDs) detected in a moderate size sunspot and compared their statistical properties to recent MHD models. The study is based on high resolution data recorded by the New Solar Telescope at the Big Bear Solar Observatory and ...
A. Kilcik, Abramenko, Bharti, Goode, Grossmann-Doerth, H. Watanabe, Kitai, M. Rempel, P. R. Goode, R. Kitai, Rempel, Rempel, Rimmele, Rimmele, Schüssler, Sobotka, Sobotka, Socas-Navarro, V. Abramenko, V. B. Yurchyshyn, W. Cao, Watanabe, Wiehr   +22 more
core   +1 more source

Unheard and Under‐Supported: Health‐Related Quality of Life in Children, Adolescents, and Young Adults With Sickle Cell Disease

Pediatric Blood &Cancer, EarlyView.
Abstract Background Sickle cell disease (SCD) is an autosomal recessive hemoglobinopathy affecting millions of individuals worldwide. The clinical expression and psychosocial burden of SCD vary widely across geographical, cultural, and healthcare system contexts, underscoring the need for setting‐specific approaches to assessment.
Desiré Fantasia, Giulia Reggiani, Elizabeth J. Maran, Maria Elisa Delle Fave, Ilaria Baido, Anna Chiara Frigo, Maria Paola Boaro, Raffaella Colombatti   +7 more
wiley   +1 more source