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  1. 112961
    “…RECOMMENDATIONS: (1) Specify dimensions of a policy’s function (policy goals, type, contexts, capital exchanged). (2) Specify dimensions of a policy’s form (origin, structure, dynamism, outcomes). (3) Identify and define the nonlinear phases of policy D&I across outer and inner contexts. (4) Describe the temporal roles that stakeholders play in policy D&I over time. (5) Consider policy-relevant outer and inner context adaptations. (6) Identify and describe bridging factors necessary for policy D&I success. …”
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  2. 112962
    “…Insulin therapy regimens should mimic insulin secretion with the aim to achieve glycemic control goals established for the age group. Intensive treatment with basal-bolus insulin therapy through MDI or CSII is recommended, and insulin analogues offers some advantages in PWT1D, when compared to human insulin. …”
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  3. 112963
    “…DISCUSSION: Strengths of the study are the granular detail of clinical practice relating to patient demographics, presenting problems/diagnoses, medication decisions, investigations requested, referrals made, procedures undertaken, follow-up arranged, learning goals generated, and in-consultation help sought; the linking of the above variables to the presenting problems/diagnoses to which they pertain; and a very high response rate. …”
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  4. 112964
    por Haeuser, Emily, Serfes, Audrey L., Cork, Michael A., Yang, Mingyou, Abbastabar, Hedayat, Abhilash, E. S., Adabi, Maryam, Adebayo, Oladimeji M., Adekanmbi, Victor, Adeyinka, Daniel Adedayo, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmadi, Keivan, Ahmed, Muktar Beshir, Akalu, Yonas, Akinyemi, Rufus Olusola, Akunna, Chisom Joyqueenet, Alahdab, Fares, Alanezi, Fahad Mashhour, Alanzi, Turki M., Alene, Kefyalew Addis, Alhassan, Robert Kaba, Alipour, Vahid, Almasi-Hashiani, Amir, Alvis-Guzman, Nelson, Ameyaw, Edward Kwabena, Amini, Saeed, Amugsi, Dickson A., Ancuceanu, Robert, Anvari, Davood, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Aremu, Olatunde, Asemahagn, Mulusew A., Jafarabadi, Mohammad Asghari, Awedew, Atalel Fentahun, Quintanilla, Beatriz Paulina Ayala, Ayanore, Martin Amogre, Aynalem, Yared Asmare, Azari, Samad, Azene, Zelalem Nigussie, Darshan, B. B., Babalola, Tesleem Kayode, Baig, Atif Amin, Banach, Maciej, Bärnighausen, Till Winfried, Bell, Arielle Wilder, Bhagavathula, Akshaya Srikanth, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhattacharyya, Krittika, Bijani, Ali, Bitew, Zebenay Workneh, Bohlouli, Somayeh, Bolarinwa, Obasanjo Afolabi, Boloor, Archith, Bozicevic, Ivana, Butt, Zahid A., Cárdenas, Rosario, Carvalho, Felix, Charan, Jaykaran, Chattu, Vijay Kumar, Chowdhury, Mohiuddin Ahsanul Kabir, Chu, Dinh-Toi, Cowden, Richard G., Dahlawi, Saad M. A., Damiani, Giovanni, Darteh, Eugene Kofuor Maafo, Darwesh, Aso Mohammad, das Neves, José, Weaver, Nicole Davis, De Leo, Diego, De Neve, Jan-Walter, Deribe, Kebede, Deuba, Keshab, Dharmaratne, Samath, Dianatinasab, Mostafa, Diaz, Daniel, Didarloo, Alireza, Djalalinia, Shirin, Dorostkar, Fariba, Dubljanin, Eleonora, Duko, Bereket, El Tantawi, Maha, El-Jaafary, Shaimaa I., Eshrati, Babak, Eskandarieh, Sharareh, Eyawo, Oghenowede, Ezeonwumelu, Ifeanyi Jude, Ezzikouri, Sayeh, Farzadfar, Farshad, Fattahi, Nazir, Fauk, Nelsensius Klau, Fernandes, Eduarda, Filip, Irina, Fischer, Florian, Foigt, Nataliya A., Foroutan, Masoud, Fukumoto, Takeshi, Gad, Mohamed M., Gaidhane, Abhay Motiramji, Gebregiorgis, Birhan Gebresillassie, Gebremedhin, Ketema Bizuwork, Getacher, Lemma, Ghadiri, Keyghobad, Ghashghaee, Ahmad, Golechha, Mahaveer, Gubari, Mohammed Ibrahim Mohialdeen, Gugnani, Harish Chander, Guimarães, Rafael Alves, Haider, Mohammad Rifat, Haj-Mirzaian, Arvin, Hamidi, Samer, Hashi, Abdiwahab, Hassanipour, Soheil, Hassankhani, Hadi, Hayat, Khezar, Herteliu, Claudiu, Ho, Hung Chak, Holla, Ramesh, Hosseini, Mostafa, Hosseinzadeh, Mehdi, Hwang, Bing-Fang, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Irena M., Ilic, Milena D., Islam, Rakibul M., Iwu, Chidozie C. D., Jakovljevic, Mihajlo, Jha, Ravi Prakash, Ji, John S., Johnson, Kimberly B., Joseph, Nitin, Joshua, Vasna, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Kalankesh, Leila R., Kalhor, Rohollah, Kamyari, Naser, Kanchan, Tanuj, Matin, Behzad Karami, Karimi, Salah Eddin, Kayode, Gbenga A., Karyani, Ali Kazemi, Keramati, Maryam, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khan, Md Nuruzzaman, Khatab, Khaled, Khubchandani, Jagdish, Kim, Yun Jin, Kisa, Adnan, Kisa, Sezer, Kopec, Jacek A., Kosen, Soewarta, Laxminarayana, Sindhura Lakshmi Koulmane, Koyanagi, Ai, Krishan, Kewal, Defo, Barthelemy Kuate, Kugbey, Nuworza, Kulkarni, Vaman, Kumar, Manasi, Kumar, Nithin, Kusuma, Dian, La Vecchia, Carlo, Lal, Dharmesh Kumar, Landires, Iván, Larson, Heidi Jane, Lasrado, Savita, Lee, Paul H., Li, Shanshan, Liu, Xuefeng, Maleki, Afshin, Malik, Preeti, Mansournia, Mohammad Ali, Martins-Melo, Francisco Rogerlândio, Mendoza, Walter, Menezes, Ritesh G., Mengesha, Endalkachew Worku, Meretoja, Tuomo J., Mestrovic, Tomislav, Mirica, Andreea, Moazen, Babak, Mohamad, Osama, Mohammad, Yousef, Mohammadian-Hafshejani, Abdollah, Mohammadpourhodki, Reza, Mohammed, Salahuddin, Mohammed, Shafiu, Mokdad, Ali H., Moradi, Masoud, Moraga, Paula, Mubarik, Sumaira, Mulu, Getaneh Baye B., Mwanri, Lillian, Nagarajan, Ahamarshan Jayaraman, Naimzada, Mukhammad David, Naveed, Muhammad, Nazari, Javad, Ndejjo, Rawlance, Negoi, Ionut, Ngalesoni, Frida N., Nguefack-Tsague, Georges, Ngunjiri, Josephine W., Nguyen, Cuong Tat, Nguyen, Huong Lan Thi, Nnaji, Chukwudi A., Noubiap, Jean Jacques, Nuñez-Samudio, Virginia, Nwatah, Vincent Ebuka, Oancea, Bogdan, Odukoya, Oluwakemi Ololade, Olagunju, Andrew T., Olakunde, Babayemi Oluwaseun, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Bali, Ahmed Omar, Onwujekwe, Obinna E., Orisakwe, Orish Ebere, Otstavnov, Nikita, Otstavnov, Stanislav S., Owolabi, Mayowa O., Mahesh, P. A., Padubidri, Jagadish Rao, Pana, Adrian, Pandey, Ashok, Pandi-Perumal, Seithikurippu R., Kan, Fatemeh Pashazadeh, Patton, George C., Pawar, Shrikant, Peprah, Emmanuel K., Postma, Maarten J., Preotescu, Liliana, Syed, Zahiruddin Quazi, Rabiee, Navid, Radfar, Amir, Rafiei, Alireza, Rahim, Fakher, Rahimi-Movaghar, Vafa, Rahmani, Amir Masoud, Ramezanzadeh, Kiana, Rana, Juwel, Ranabhat, Chhabi Lal, Rao, Sowmya J., Rawaf, David Laith, Rawaf, Salman, Rawassizadeh, Reza, Regassa, Lemma Demissie, Rezaei, Nima, Rezapour, Aziz, Riaz, Mavra A., Ribeiro, Ana Isabel, Ross, Jennifer M., Rubagotti, Enrico, Rumisha, Susan Fred, Rwegerera, Godfrey M., Moghaddam, Sahar Saeedi, Sagar, Rajesh, Sahiledengle, Biniyam, Sahu, Maitreyi, Salem, Marwa Rashad, Kafil, Hossein Samadi, Samy, Abdallah M., Sartorius, Benn, Sathian, Brijesh, Seidu, Abdul-Aziz, Shaheen, Amira A., Shaikh, Masood Ali, Shamsizadeh, Morteza, Shiferaw, Wondimeneh Shibabaw, Shin, Jae Il, Shrestha, Roman, Singh, Jasvinder A., Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Soltani, Shahin, Sufiyan, Mu’awiyyah Babale, Tabuchi, Takahiro, Tadesse, Eyayou Girma, Taveira, Nuno, Tesfay, Fisaha Haile, Thapar, Rekha, Tovani-Palone, Marcos Roberto, Tsegaye, Gebiyaw Wudie, Umeokonkwo, Chukwuma David, Unnikrishnan, Bhaskaran, Villafañe, Jorge Hugo, Violante, Francesco S., Vo, Bay, Vu, Giang Thu, Wado, Yohannes Dibaba, Waheed, Yasir, Wamai, Richard G., Wang, Yanzhong, Ward, Paul, Wickramasinghe, Nuwan Darshana, Wilson, Katherine, Yaya, Sanni, Yip, Paul, Yonemoto, Naohiro, Yu, Chuanhua, Zastrozhin, Mikhail Sergeevich, Zhang, Yunquan, Zhang, Zhi-Jiang, Hay, Simon I., Dwyer-Lindgren, Laura
    Publicado 2022
    “…BACKGROUND: Human immunodeficiency virus and acquired immune deficiency syndrome (HIV/AIDS) is still among the leading causes of disease burden and mortality in sub-Saharan Africa (SSA), and the world is not on track to meet targets set for ending the epidemic by the Joint United Nations Programme on HIV/AIDS (UNAIDS) and the United Nations Sustainable Development Goals (SDGs). Precise HIV burden information is critical for effective geographic and epidemiological targeting of prevention and treatment interventions. …”
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  5. 112965
    “…Ideal Cardiovascular Health (CVH) is a concept defined by the American Heart Association (AHA) as part of its 2020 Impact Goals. Until now, changes in ideal CVH have been poorly evaluated in Sub-Saharan African populations. …”
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  6. 112966
    “…DISCUSSION: This theory-driven implementation research project willcoproducesignificant new understandings of the wider system in which the 24/7 BHU initiative is being implemented, and actionable knowledge that will highlight ways the implementation processes might be modified to enable BHUs to meet service provision goals. This study will also produce insights that will be relevant for other South Asian and low- and middle-income countries (LMICs) that experience similar challenges of programme scale-up and delivery of maternal health services to remote and marginalized communities.…”
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  7. 112967
    “…RESULTS: Influences on current PPH detection and management fell under 12 domains: Environmental Context and Resources (drug and staff shortages), Skills (limited in-service training), Knowledge (variable understanding of the recommended practice), Behaviour Regulation (limited quality improvement culture), Beliefs about Consequences (drawbacks from inaccurate detection), Emotion (stress from the unpredictability of PPH), Social Influence (teamwork), Memory, Attention and Decision-making (limited guideline use), Social/Professional Role and Identity (role clarity), Beliefs about Capabilities (confidence in managing PPH), Reinforcement (disciplinary procedures) and Goals (PPH as a priority). Influences on bundle uptake included: Beliefs about Consequences (perceived benefits of new blood loss measurement tool), Environmental Context and Resources (high cost of drugs and new tools), Memory, Attention and Decision-making (concerns about whether bundle fits current practice), Knowledge (not understanding ‘bundled’ approach), Social Influence (acceptance by women and staff) and Intention (limited acceptance of ‘bundled' approach over existing practice). …”
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  8. 112968
    “…BACKGROUND: Health supply chain is crucial for proper functioning of a health system and advancing national and international health security goals. The Coronavirus 2019 pandemic caused major challenges for health supply chain systems in Uganda and globally. …”
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  9. 112969
    “…Five main social network themes were identified: centralisation, cliques, leaders, quality over quantity, and shared goals. Contextual factors to be considered when scaling-up programmes in LMICs were also identified. …”
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  10. 112970
    “…Despite the fact that ending maternal and perinatal morbidity and mortality is one of the Sustainable Development Goals (SDG), the burden of the problem continues to be a huge concern in developing countries, including high fertility countries. …”
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  11. 112971
    “…Barriers and enablers to enhancing fidelity to intervention delivery related to seven TDF domains: [1] Beliefs about capabilities, [2] Optimism, [3] Goals, [4] Memory, attention, and decision processes, [5] Environmental context and resources, [6] Social influences, and [7] Behavioural regulation. …”
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  12. 112972
    “…BACKGROUND: Short-term and long-term comparative outcomes after percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) for multivessel coronary artery (MVCA) or left main coronary artery (LMCA) disease are highly debated. GOALS: We performed a meta-analysis to evaluate the difference between PCI and CABG for the treatment of patients with MVCA or LMCA in long-term follow-up. …”
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  13. 112973
    “…Ecological momentary assessment (EMA) provides a way to digitally phenotype in-the-moment behavior and functioning of the parent–child dyad. One of the study’s goals is to determine if AI-PCIT outcomes are superior in comparison with standard PCIT. …”
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  14. 112974
    por Mankelkl, Gosa, Kinfe, Beletu
    Publicado 2023
    “…Increasing the modern contraceptive prevalence rate is one of the goals of the government to reduce maternal and child mortality and morbidity. …”
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  15. 112975
    “…Finally, while participants agreed that they did not intend to routinely order low-value tests and understood that these would not benefit patient outcomes, they also reported ordering tests to prevent surgery cancellations and problems during surgery (motivation and goals, beliefs about consequences, social influences). …”
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  16. 112976
    “…The primary objective of the study was to examine independent patient factors that are associated with mortality in those requiring acute admission for aspiration pneumonia at a tertiary institution. Secondary goals of the study were to review whether factors such as mechanical ventilation and speech language pathology intervention can impact patient mortality, length of stay (LOS), and costs relating to hospitalization. …”
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  17. 112977
    “…RESULTS: Care professionals in OCN found the use of PROM/PREM acceptable and appropriate, recognized their benefits and felt facilitated in their patient-centered goals and vision. However, feasibility for daily practice was low, mainly due to IT issues and time constraints. …”
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  18. 112978
    por Hunt, Philip
    Publicado 2013
    “…A precision measurement of the CKM angle $\gamma$ from tree-level processes is one of the principal goals of the LHCb experiment. Two important channels for the extraction of $\gamma$ are $B^{\pm}\rightarrow D^{0}K^{\pm}$ and $B^{\pm}\rightarrow\kern 0.2em\overline{\kern -0.2em D}{}^{0}K^{\pm}$; a first study of these modes is presented using an integrated luminosity of $\mathcal{L}_{\rm{int}}={35.6}\pm3.6\,\mathrm{\,pb^{-1}}$ at a $pp$ centre-of-mass collision energy of $\sqrt{s}=7\mathrm{\,TeV}$. …”
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  19. 112979
    por Cavanna, F, Rameika, R, Touramanis, C
    Publicado 2017
    “…ProtoDUNE-SP has four principal goals, all of which are essential parts of the DUNE far detector development program: • Prototype the production and installation procedures for the single-phase far detector design. • Validate the design from the perspective of basic detector performance; this can be achieved with cosmic-ray data. …”
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  20. 112980
    por Droz Perez, David Francois
    Publicado 2023
    “…Doing so, however, requires both a larger amount of data and a more powerful analysis tool. Which are the goals of the present thesis. We propose a tool coming from the field of data sciences, and more precisely of deep learning. …”
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