Genetic segregation of chlorophyll content and light compensation point in a hybrid grapevine population by JI Xiaohao, LIU Fengzhi, WANG Xiaodi, WANG Xiaolong, SHI Meng, WANG Zhiqiang, WANG Haibo

“…In addition, factors such as shading from the greenhouse structure, film aging, and dust accumulation further reduce solar radiation and ultraviolet radiation intensities, making them substantially lower than in open-field cultivation. …”
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Patients with a Combination of Atrial Fibrillation and Chronic Heart Failure in Clinical Practice: Comorbidities, Drug Treatment and Outcomes by M. M. Loukianov, S. Yu. Martsevich, Yu. V. Mareev, S. S. Yakushin, E. Yu. Andreenko, A. N. Vorobiev, K. G. Pereverzeva, A. V. Zagrebelny, E. Yu. Okshina, V. V. Yakusevich, Vl. Vl. Yakusevich, E. M. Pozdnyakova, T. A. Gomova, E. E. Fedotova, M. N. Valiakhmetov, V. P. Mikhin, Yu. V. Maslennikova, E. N. Belova, V. G. Klyashtorny, E. V. Kudryashov, A. N. Makoveeva, Yu. E. Tatsiy, S. A. Boytsov, O. M. Drapkina

“…To assess in clinical practice the structure of multimorbidity, cardiovascular pharmacotherapy and outcomes in patients with a combination of atrial fibrillation (AF) and chronic heart failure (CHF) based on prospective registries of patients with cardiovascular diseases (CVD).Materials and Methods. …”
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The effects of computerised decision support systems on nursing and allied health professional performance and patient outcomes: a systematic review and user contextualisation by Carl Thompson, Teumzghi Mebrahtu, Sarah Skyrme, Karen Bloor, Deidre Andre, Anne Maree Keenan, Alison Ledward, Huiqin Yang, Rebecca Randell

“…Risk of bias Assessed using structured risk of bias guidelines; almost all included studies were at high risk of bias. …”
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Desenvolvimento de carreiras e perceção de fatores para a excelência do árbitro de futebol em Portugal (Desarrollo profesional y percepción de factores a la excelencia del árbitro... by Sérgio Miguel Cardoso Mendes, Bruno Travassos, Ema Patrícia Oliveira

“…After finishing the data collection, an inductive analysis was carried out and a several personal and environmental common factors were identified. …”
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Equation for estimating tree biomass in tropical forests of Costa Rica Ecuación para estimar la biomasa arbórea en los bosques tropicales de Costa Rica by Shu Wei-Chou, Egdar E. Gutiérrez-Espeleta

“…The variable density is very important as it varies between trees having the same structure but of different species. To estimate the model, a segmented regression technique was used as well as weighted mean squares to solve for heteroscedasticity. …”
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Consequências do comportamento sedentário no bem-estar psicossocial: estudo qualitativo com idosos residentes em Portugal (Consequences of sedentary behavior on psychosocial well-... by André Ramalho, João Petrica, João Serrano, Rui Paulo, Pedro Duarte-Mendes, António Rosado

“…Questionnaires were used to determine the average daily time spent in different sedentary behaviors and the usual level of physical activity. Data were also collected through semi-structured interviews and analyzed using thematic analysis techniques. …”
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Quantifying brain development in the HEALthy Brain and Child Development (HBCD) Study: The magnetic resonance imaging and spectroscopy protocol by Douglas C. Dean, III, M Dylan Tisdall, Jessica L. Wisnowski, Eric Feczko, Borjan Gagoski, Andrew L. Alexander, Richard A.E. Edden, Wei Gao, Timothy J. Hendrickson, Brittany R. Howell, Hao Huang, Kathryn L. Humphreys, Tracy Riggins, Chad M. Sylvester, Kimberly B. Weldon, Essa Yacoub, Banu Ahtam, Natacha Beck, Suchandrima Banerjee, Sergiy Boroday, Arvind Caprihan, Bryan Caron, Samuel Carpenter, Yulin Chang, Ai Wern Chung, Matthew Cieslak, William T. Clarke, Anders Dale, Samir Das, Christopher W. Davies-Jenkins, Alexander J. Dufford, Alan C. Evans, Laetitia Fesselier, Sandeep K. Ganji, Guillaume Gilbert, Alice M. Graham, Aaron T. Gudmundson, Maren Macgregor-Hannah, Michael P. Harms, Tom Hilbert, Steve C.N. Hui, M. Okan Irfanoglu, Steven Kecskemeti, Tobias Kober, Joshua M. Kuperman, Bidhan Lamichhane, Bennett A. Landman, Xavier Lecour-Bourcher, Erik G. Lee, Xu Li, Leigh MacIntyre, Cecile Madjar, Mary Kate Manhard, Andrew R. Mayer, Kahini Mehta, Lucille A. Moore, Saipavitra Murali-Manohar, Cristian Navarro, Mary Beth Nebel, Sharlene D. Newman, Allen T. Newton, Ralph Noeske, Elizabeth S. Norton, Georg Oeltzschner, Regis Ongaro-Carcy, Xiawei Ou, Minhui Ouyang, Todd B. Parrish, James J. Pekar, Thomas Pengo, Carlo Pierpaoli, Russell A. Poldrack, Vidya Rajagopalan, Dan W. Rettmann, Pierre Rioux, Jens T. Rosenberg, Taylor Salo, Theodore D. Satterthwaite, Lisa S. Scott, Eunkyung Shin, Gizeaddis Simegn, W. Kyle Simmons, Yulu Song, Barry J. Tikalsky, Jean Tkach, Peter C.M. van Zijl, Jennifer Vannest, Maarten Versluis, Yansong Zhao, Helge J. Zöllner, Damien A. Fair, Christopher D. Smyser, Jed T. Elison

“…The HBCD MRI Working Group aimed to establish a core acquisition protocol for all 27 HBCD Study recruitment sites to measure brain structure, function, microstructure, and metabolites. …”
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Investigating causal relationships between entrepreneurial education and sustainable employment generation in Islamic Azad Universities in Tehran by Sana Abdulali, Mohammad Naghi Imani GelepordesariI, Asghar Sharifi

“…The collection tool in this research includes a researcher-made questionnaire derived from the qualitative method; entrepreneurial education variable includes 3 dimensions (goal, structure and method), and sustainable employment creation variable includes 2 dimensions (organizational and environmental). …”
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COVID- 19 in patients affected by red blood cell disorders, results from the European registry ERN-EuroBloodNet by Pablo Velasco Puyo, Soteroula Christou, Saveria Campisi, Maria A. Rodríguez-Sánchez, Sara Reidel, Santiago Perez-Hoyo, Miriam Mota, Irene Savvidou, Anna Rekleiti, Alessandra Salvo, Vincenzo Voi, Giovanni Battista Ferrero, Giorgia Mandrile, Carmen Maria Gaglioti, Elena Cela, Beatriz Ponce-Salas, Eduardo J. Bardón-Cancho, Pagona Flevari, Ersi Voskaridou-Dimoula, Erfan Nur, Bart J. Biemond, Polynexi Delaporta, David Beneitez-Pastor, Anna Collado Gimbert, Anna Spasiano, Tatiana Besse-Hammer, Ioannis G. Lafiatis, Laurence Dedeken, Simona Raso, Anna Ruiz-Llobet, Sabrina Bagnato, Veerle Labarque, Andreas Glenthøj, Giovan Battista Ruffo, Maria Elena Guerzoni, Kaoutar Hafraoui, Laura Pistoia, Rosamaria Rosso, Laura Tagliaferri, Paula Gonzalez-Urdiales, Fleur Samantha Benghiat, Mariane de Montalembert, Maria Jose Teles, Anna Vanderfaeillie, Elisa Bertoni, Daniela Cuzzubbo, Teresa Ferreira, Christopher J. Saunders, Eftichia Stiakaki, Ann L. Van de Velde, Michael D. Diamantidis, Jean-Louis H. Kerkhoffs, Marisa I. Oliveira, Alessandra Quota, Roberta Russo, An Van Damme, María Argüello Marina, Mikael Lorite Reggiori, Anita W. Rijneveld, Alexis Rodríguez Gallego, Raffaella Colombatti, Achille Iolascon, Ali Taher, Béatrice Gulbis, Noémi B. A. Roy, María del Mar Mañú-Pereira

“…The ERN-Eurobloodnet’s registry collaborative structure exemplifies the power of international cooperation in tackling rare diseases, especially during health emergencies.…”
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Investigation and analysis of mental health status of the older adult in western rural areas by Shuai Zhao, Liangfu Han, Yi Liu, Xudong Rui

“…Structured questionnaires were used to gather details on age, gender, education, marital status, household income, chronic disease status, and living arrangements. …”
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Research on shale lamination types and logging characterization methods: A case study of the Funing Formation Member 2 in Gaoyou Sag, Subei Basin by TANG Lei, LIAO Wenting, XIA Lianjun, MA Jie, ZHANG Juan

“…Water depth increases, and the shale gradually transitions to blocky structure. The content of gray and muddy minerals decreases, limiting the development of gray and muddy laminations. …”
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Differential Effects of Gynecological and Chronological Age on Low Birth Weight and Small for Gestational Age by Reyna Sámano, Gabriela Chico-Barba, Estela Godínez-Martínez, Hugo Martínez-Rojano, Ashley Díaz-Medina, María Hernández-Trejo, Pablo César Navarro-Vargas, María Eugenia Flores-Quijano, María Eugenia Mendoza-Flores, Valeria Sujey Luna-Espinosa

“…Calculations were adjusted for the following variables: marital status, maternal education, occupation, educational lag, family structure, socioeconomic level, pre-pregnancy body mass index, and initiation of prenatal care. …”
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Behavioral Biases in Investor Decision-Making: A Comparative Meta-Analysis of Behavioral Finance Research by Seyed Amir Sabet, Saeed Aibaghi esfahani, Abdolmajid Abdolbaghi Ataabadi

“…Classical finance assumes a structured decision-making process comprising problem recognition, solution identification, alternative evaluation, and optimal choice selection, but empirical evidence reveals systematic irrationalities, which behavioral finance addresses by incorporating psychological perspectives to demonstrate how cognitive and emotional biases distort investor behavior. …”
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The Intermediate-mass Black Hole Reverberation Mapping Project: First Detection of Mid-infrared Lags in Prototypical Intermediate-mass Black Holes in NGC 4395 and POX 52 by Jingbo Sun, Hengxiao Guo, Wenwen Zuo, Paulina Lira, Minfeng Gu, Philip G. Edwards, Shu Wang, Jamie Stevens, Tao An, Samuzal Barua, Zhen-yi Cai, Haicheng Feng, Alok C. Gupta, Luis C. Ho, Dragana Ilić, Andjelka B. Kovačević, ShaSha Li, Mar Mezcua, Luka Č. Popović, Paula Sánchez-Sáez, Mouyuan Sun, Rongfeng Shen, Vivian U, Oliver Vince, Junxian Wang, Xuebing Wu, Zhefu Yu, Zhenya Zheng

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Increase in colonic propionate as a method of preventing weight gain in adults aged 20–40 years: iPREVENT, a multicentre, double-blind, randomised, parallel-group trial by Gary Frost, Joana C Vasconcelos, Jennifer E Pugh, Aisha Anjum, Katerina Petropoulou, George Thom, Louise McCombie, Martina Tashkova, Sumayya Alshehhi, Daphne Babalis, Leah Holroyd, Christina Prechtl, Tom Preston, Mike J Lean, Waljit Dhillo, A Toby Prevost, and Douglas Morrison

“…Due to the COVID-19 lockdowns and pivot to collection of self-reported weight data, the ‘Principal weight’ measurement for the primary outcome consists of 38% self-reported weight data. …”
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Newly diagnosed diseases and the frequency of their occurrence in patients after a new coronavirus infection. Results of an International Register "Dynamics Analysis of Comorbiditi... by G. P. Arutyunov, E. I. Tarlovskaya, A. G. Arutyunov, D. S. Polyakov, Yu. N. Belenkov, A. O. Konradi, Yu. M. Lopatin, A. P. Rebrov, S. N. Tereshchenko, A. I. Chesnikova, H. G. Hayrapetyan, A. P. Babin, I. G. Bakulin, N. V. Bakulina, L. A. Balykova, A. S. Blagonravova, M. V. Boldina, M. I. Butomo, A. R. Vaisberg, A. S. Galyavich, V. V. Gomonova, N. Yu. Grigoryeva, I. V. Gubareva, I. V. Demko, A. V. Evzerikhina, A. V. Zharkov, A. A. Zateishchikova, U. K. Kamilova, Z. F. Kim, T. Yu. Kuznetsova, A. N. Kulikov, N. V. Lareva, E. V. Makarova, S. V. Malchikova, S. V. Nedogoda, M. M. Petrova, I. G. Pochinka, K. V. Protasov, D. N. Protsenko, D. Yu. Ruzanov, S. A. Saiganov, A. Sh. Sarybaev, N. M. Selezneva, A. B. Sugraliev, I. V. Fomin, O. V. Khlynova, O. Yu. Chizhova, I. I. Shaposhnik, D. A. Schukarev, A. K. Abdrakhmanova, S. A. Avetisyan, H. G. Avoyan, K. K. Azaryan, G. T. Aimakhanova, D. A. Ayypova, A. Ch. Akunov, M. K. Alieva, A. R. Almukhambedova, O. Yu. Aparkina, O. R. Aruslanova, E. Yu. Ashina, O. Yu. Badina, O. Yu. Barysheva, T. I. Batluk, A. S. Batchaeva, R. A. Bashkinov, A. M. Bitieva, I. U. Bikhteev, N. A. Borodulina, M. V. Bragin, V. A. Brazhnik, A. M. Budu, G. A. Bykova, K. R. Vagapova, D. D. Varlamova, N. N. Vezikova, E. A. Verbitskaya, O. E. Vilkova, E. .A. Vinnikova, V. V. Vustina, E. A. Elena A. Galova, V. V. Genkel, D. B. Giller, E. D. Gordeychuk, E. I. Gorshenina, E. V. Grigoryeva, E. Yu. Gubareva, G. M. Dabylova, A. I. Demchenko, O. Yu. Dolgikh, M. Y. Duishobaev, D. S. Evdokimov, K. E. Egorova48, A. E. Zheldybaeva, N. V. Zarechnova, Yu. D. Zimina, S. Yu. Ivanova, E. Yu. Ivanchenko, M. V. Ilina, M. V. Kazakovtseva, E. V. Kazymova, Yu. S. Yuliya S. Kalinina, N. A. Kamardina, A. M. Karachenova, I. A. Karetnikov, N. A. Karoli, M. Kh. Karsiev, D. S. Kaskaeva, K. F. Kasymova, Zh. B. Kerimbekova, E. S. Kim, N. V. Kiseleva, D. A. Klimenko, O. V. Kovalishena, S. V. Kozlov, E. V. Kolmakova, T. P. Kolchinskaya, M. I. Kolyadich, O. V. Kondryakova, M. P. Konoval, D. Yu. Konstantinov, E. A. Konstantinova, V. A. Kordyukova, E. V. Koroleva, A. Yu. Kraposhina, T. V. Kryukova, A. S. Kuznetsova, T. Yu. Kuzmina, K. V. Kuzmichev, C. K. Kulchoroeva, T. V. Kuprina, I. M. Kuranova, L. V. Kurenkova, N. Yu. Kurchugina, N. A. Kushubakova, V. I. Levankova, A. A. Ledyaeva, T. V. Lisun, V. E. Lisyanskaya, N. A. Lyubavina, N. A. Magdeeva, K. V. Mazalov, V. I. Mayseenko, A. S. Makarova, A. M. Maripov, N. V. Markov, A. A. Marusina, E. S. Melnikov, A. I. Metlinskaya, N. B. Moiseenko, F. N. Muradova, R. G. Muradyan, Sh. N. Musaelyan, E. S. Nekaeva, N. M. Nikitina, S. E. Nifontov, E. Yu. Obolentseva, A. A. Obukhova, B. B. Ogurlieva, A. A. Odegova, Yu. V. Yuliya V. Omarova, N. A. Omurzakova, Sh. O. Ospanova, V. A/ Pavlova, E. V. Pakhomova, L. D. Petrov, S. S. Plastinina, D. A. Platonov, V. A. Pogrebetskaya, D. V. Polyakov, E. V. Ponomarenko, L. L. Popova, A. A. Potanin, N. A. Prokofieva, Yu. D. Rabik, N. A. Rakov, A. N. Rakhimov, N. A. Rozanova, S. Serikbolkyzy, Ya. A. Sidorkina, A. A. Simonov, V. V. Skachkova, R. D. Skvortsova, D. S. Skuridin, D. V. Solovieva, I. A. Solovieva, I. M. Sukhomlinova, A. G. Sushilova, D. R. Tagaeva, E. P. Tikhonova, D. S. Tokmin, A. A. Tolmacheva, M. S. Torgunakova, K. V. Trenogina, N. A. Trostyanetskaya, D. A. Trofimov, M. A. Trubnikova, A. A. Tulichev, A. T. Tursunova, N. D. Ulanova, O. V. Fatenkov, O. V. Fedorishina, T. S. Fil, I. Yu. Fomina, I. S. Fominova, I. A. Frolova, S. M. Tsvinger, V. V. Tsoma, M. B. Cholponbaeva, T. I. Chudinovskikh, I. V. Shavrin, O. A. Shevchenko, D. R. Shikhaliev, E. A. Shishkina, K. Yu. Shishkov, S. Yu Shcherbakov, G. V. Shcherbakova, E. A. Yausheva

“…Demographic, clinical, and laboratory data, computed tomography (CT) results, information about inhospital clinical course and complications of COVID-19 during hospitalization were extracted from electronic health records using a standardized data collection form. …”
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Identification of Agricultural Events, Businesses and Landscapes in Chaharmahal and Bakhtiari Province by Golrokh Amiri Dowrhooni, Neda Torabi Farsani, Majid Farhadi Uonaki, Mehdi Karami Dehkordi

“…In order to analyze the data, the qualitative method (thematic analysis) has been used. 4. …”
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Search for e + e − → K S 0 K S 0 h c $$ {K}_S^0{K}_S^0{h}_c $$ by The BESIII collaboration, M. Ablikim, M. N. Achasov, P. Adlarson, O. Afedulidis, X. C. Ai, R. Aliberti, A. Amoroso, Q. An, Y. Bai, O. Bakina, I. Balossino, Y. Ban, H.-R. Bao, V. Batozskaya, K. Begzsuren, N. Berger, M. Berlowski, M. Bertani, D. Bettoni, F. Bianchi, E. Bianco, A. Bortone, I. Boyko, R. A. Briere, A. Brueggemann, H. Cai, X. Cai, A. Calcaterra, G. F. Cao, N. Cao, S. A. Cetin, X. Y. Chai, J. F. Chang, G. R. Che, Y. Z. Che, G. Chelkov, C. Chen, C. H. Chen, Chao Chen, G. Chen, H. S. Chen, H. Y. Chen, M. L. Chen, S. J. Chen, S. L. Chen, S. M. Chen, T. Chen, X. R. Chen, X. T. Chen, Y. B. Chen, Y. Q. Chen, Z. J. Chen, S. K. Choi, G. Cibinetto, F. Cossio, J. J. Cui, H. L. Dai, J. P. Dai, A. Dbeyssi, R. E. de Boer, D. Dedovich, C. Q. Deng, Z. Y. Deng, A. Denig, I. Denysenko, M. Destefanis, F. De Mori, B. Ding, X. X. Ding, Y. Ding, Y. Ding, J. Dong, L. Y. Dong, M. Y. Dong, X. Dong, M. C. Du, S. X. Du, Y. Y. Duan, Z. H. Duan, P. Egorov, G. F. Fan, J. J. Fan, Y. H. Fan, J. Fang, J. Fang, S. S. Fang, W. X. Fang, Y. Q. Fang, R. Farinelli, L. Fava, F. Feldbauer, G. Felici, C. Q. Feng, J. H. Feng, Y. T. Feng, M. Fritsch, C. D. Fu, J. L. Fu, Y. W. Fu, H. Gao, X. B. Gao, Y. N. Gao, Y. N. Gao, Yang Gao, S. Garbolino, I. Garzia, P. T. Ge, Z. W. Ge, C. Geng, E. M. Gersabeck, A. Gilman, K. Goetzen, L. Gong, W. X. Gong, W. Gradl, S. Gramigna, M. Greco, M. H. Gu, Y. T. Gu, C. Y. Guan, A. Q. Guo, L. B. Guo, M. J. Guo, R. P. Guo, Y. P. Guo, A. Guskov, J. Gutierrez, K. L. Han, T. T. Han, F. Hanisch, X. Q. Hao, F. A. Harris, K. K. He, K. L. He, F. H. Heinsius, C. H. Heinz, Y. K. Heng, C. Herold, T. Holtmann, P. C. Hong, G. Y. Hou, X. T. Hou, Y. R. Hou, Z. L. Hou, B. Y. Hu, H. M. Hu, J. F. Hu, Q. P. Hu, S. L. Hu, T. Hu, Y. Hu, G. S. Huang, K. X. Huang, L. Q. Huang, P. Huang, X. T. Huang, Y. P. Huang, Y. S. Huang, T. Hussain, F. Hölzken, N. Hüsken, N. in der Wiesche, J. Jackson, S. Janchiv, Q. Ji, Q. P. Ji, W. Ji, X. B. Ji, X. L. Ji, Y. Y. Ji, X. Q. Jia, Z. K. Jia, D. Jiang, H. B. Jiang, P. C. Jiang, S. S. Jiang, T. J. Jiang, X. S. Jiang, Y. Jiang, J. B. Jiao, J. K. Jiao, Z. Jiao, S. Jin, Y. Jin, M. Q. Jing, X. M. Jing, T. Johansson, S. Kabana, N. Kalantar-Nayestanaki, X. L. Kang, X. S. Kang, M. Kavatsyuk, B. C. Ke, V. Khachatryan, A. Khoukaz, R. Kiuchi, O. B. Kolcu, B. Kopf, M. Kuessner, X. Kui, N. Kumar, A. Kupsc, W. Kühn, W. N. Lan, T. T. Lei, Z. H. Lei, M. Lellmann, T. Lenz, C. Li, C. Li, C. H. Li, Cheng Li, D. M. Li, F. Li, G. Li, H. B. Li, H. J. Li, H. N. Li, Hui Li, J. R. Li, J. S. Li, K. Li, K. L. Li, L. J. Li, Lei Li, M. H. Li, P. L. Li, P. R. Li, Q. M. Li, Q. X. Li, R. Li, T. Li, T. Y. Li, W. D. Li, W. G. Li, X. Li, X. H. Li, X. L. Li, X. Y. Li, X. Z. Li, Y. Li, Y. G. Li, Z. J. Li, Z. Y. Li, C. Liang, H. Liang, Y. F. Liang, Y. T. Liang, G. R. Liao, Y. P. Liao, J. Libby, A. Limphirat, C. C. Lin, C. X. Lin, D. X. Lin, T. Lin, B. J. Liu, B. X. Liu, C. Liu, C. X. Liu, F. Liu, F. H. 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“…Abstract Using e + e − collision data at 13 center-of-mass energies ranging from 4.600 to 4.951 GeV collected with the BESIII detector, we conduct the first search for the e + e − → K S 0 K S 0 h c $$ {K}_S^0{K}_S^0{h}_c $$ process and investigate the resonance structures in the cross section line shape. …”
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Comparative Ethics of Modern Payment Models by Jacob Riegler

“…Fee-For-Service Fee-for-service is the main payment model worldwide.[12] It has played a large role in shaping the structural nature of healthcare, particularly in the United States.[13] Fee-for-service, although declining, is still pervasive in the US health system and has created market forces that indirectly affect the geographic distribution of care, with an obvious volume-based market force.[14] Even with the advent of alternative payment models, fee-for-service remains the primary mode of physician compensation by percentage in primary care in the US.[15] Fee-for-service’s financial and organizational incentives are based on the number of patients seen and services rendered. …”
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Comparative Ethics of Modern Payment Models by Jacob Riegler

“…Fee-For-Service Fee-for-service is the main payment model worldwide.[12] It has played a large role in shaping the structural nature of healthcare, particularly in the United States.[13] Fee-for-service, although declining, is still pervasive in the US health system and has created market forces that indirectly affect the geographic distribution of care, with an obvious volume-based market force.[14] Even with the advent of alternative payment models, fee-for-service remains the primary mode of physician compensation by percentage in primary care in the US.[15] Fee-for-service’s financial and organizational incentives are based on the number of patients seen and services rendered. …”
Get full text