Explanation of context, mechanisms and outcomes in adult community mental health crisis care: the MH-CREST realist evidence synthesis by Clibbens Nicola, Baker John, Booth Andrew, Berzins Kathryn, Ashman Michael C, Sharda Leila, Thompson Jill, Kendal Sarah, Weich Scott

“…Evaluation is not restricted by organisational boundaries and aims to provide data that take account of how the whole inter-agency system is operating. …”
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Reducing unplanned hospital admissions from care homes: a systematic review by Duncan Chambers, Anna Cantrell, Louise Preston, Carl Marincowitz, Lynne Wright, Simon Conroy, Adam Lee Gordon

“…There is a need for rigorous economic evaluations, ideally using measures that can be used to compare different interventions and taking into account costs associated with implementation, particularly how costs are transferred between health and social care commissioners and providers. …”
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Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Diseas... by Roth, GA, Abate, D, Abate, KH, Abay, SM, Abbafati, C, Abbasi, N, Abbastabar, H, Abd-Allah, F, Abdela, J, Abdelalim, A, Abdollahpour, I, Abdulkader, RS, Abebe, HT, Abebe, M, Abebe, Z, Abejie, AN, Abera, SF, Abil, OZ, Abraha, HN, Abrham, AR, Abu-Raddad, LJ, Accrombessi, MMK, Acharya, D, Adamu, AA, Adebayo, OM, Adedoyin, RA, Adekanmbi, V, Adetokunboh, OO, Adhena, BM, Adib, MG, Admasie, A, Afshin, A, Agarwal, G, Agesa, KM, Agrawal, A, Agrawal, S, Ahmadi, A, Ahmadi, M, Ahmed, MB, Ahmed, S, Aichour, AN, Aichour, I, Aichour, MTE, Akbari, ME, Akinyemi, RO, Akseer, N, Al-Aly, Z, Al-Eyadhy, A, Al-Raddadi, RM, Alahdab, F, Alam, K, Alam, T, Alebel, A, Alene, KA, Alijanzadeh, M, Alizadeh-Navaei, R, Aljunid, SM, Alkerwi, A, Alla, F, Allebeck, P, Alonso, J, Altirkawi, K, Alvis-Guzman, N, Amare, AT, Aminde, LN, Amini, E, Ammar, W, Amoako, YA, Anber, NH, Andrei, CL, Androudi, S, Animut, MD, Anjomshoa, M, Ansari, H, Ansha, MG, Antonio, CAT, Anwari, P, Aremu, O, Ärnlöv, J, Arora, A, Arora, M, Artaman, A, Aryal, KK, Asayesh, H, Asfaw, ET, Ataro, Z, Atique, S, Atre, SR, Ausloos, M, Avokpaho, EFGA, Awasthi, A, Quintanilla, BPA, Ayele, Y, Ayer, R, Azzopardi, PS, Babazadeh, A, Bacha, U, Badali, H, Badawi, A, Bali, AG, Ballesteros, KE, Banach, M, Banerjee, K, Bannick, MS, Banoub, JAM, Barboza, MA, Barker-Collo, SL, Bärnighausen, TW, Barquera, S, Barrero, LH, Bassat, Q, Basu, S, Baune, BT, Baynes, HW, Bazargan-Hejazi, S, Bedi, N, Beghi, E, Behzadifar, M, Behzadifar, M, Béjot, Y, Bekele, BB, Belachew, AB, Belay, E, Belay, YA, Bell, ML, Bello, AK, Bennett, DA, Bensenor, IM, Berman, AE, Bernabe, E, Bernstein, RS, Bertolacci, GJ, Beuran, M, Beyranvand, T, Bhalla, A, Bhattarai, S, Bhaumik, S, Bhutta, ZA, Biadgo, B, Biehl, MH, Bijani, A, Bikbov, B, Bilano, V, Bililign, N, Bin Sayeed, MS, Bisanzio, D, Biswas, T, Blacker, BF, Basara, BB, Borschmann, R, Bosetti, C, Bozorgmehr, K, Brady, OJ, Brant, LC, Brayne, C, Brazinova, A, Breitborde, NJK, Brenner, H, Briant, PS, Britton, G, Brugha, T, Busse, R, Butt, ZA, Callender, CSKH, Campos-Nonato, IR, Rincon, JC, Cano, J, Car, M, Cárdenas, R, Carreras, G, Carrero, JJ, Carter, A, Carvalho, F, Castañeda-Orjuela, CA, Rivas, J, Castle, CD, Castro, C, Castro, F, Catalá-López, F, Cerin, E, Chaiah, Y, Chang, J-C, Charlson, FJ, Chaturvedi, P, Chiang, PP-C, Chimed-Ochir, O, Chisumpa, VH, Chitheer, A, Chowdhury, R, Christensen, H, Christopher, DJ, Chung, S-C, Cicuttini, FM, Ciobanu, LG, Cirillo, M, Cohen, AJ, Cooper, LT, Cortesi, PA, Cortinovis, M, Cousin, E, Cowie, BC, Criqui, MH, Cromwell, EA, Crowe, CS, Crump, JA, Cunningham, M, Daba, AK, Dadi, AF, Dandona, L, Dandona, R, Dang, AK, Dargan, PI, Daryani, A, Das, SK, Gupta, RD, Neves, JD, Dasa, TT, Dash, AP, Davis, AC, Weaver, N, Davitoiu, DV, Davletov, K, De La Hoz, FP, De Neve, J-W, Degefa, MG, Degenhardt, L, Degfie, TT, Deiparine, S, Demoz, GT, Demtsu, BB, Denova-Gutiérrez, E, Deribe, K, Dervenis, N, Jarlais, DC, Dessie, GA, Dey, S, Dharmaratne, SD, Dicker, D, Dinberu, MT, Ding, EL, Dirac, MA, Djalalinia, S, Dokova, K, Doku, DT, Donnelly, CA, Dorsey, ER, Doshi, PP, Douwes-Schultz, D, Doyle, KE, Driscoll, TR, Dubey, M, Dubljanin, E, Duken, EE, Duncan, BB, Duraes, AR, Ebrahimi, H, Ebrahimpour, S, Edessa, D, Edvardsson, D, Eggen, AE, Bcheraoui, C, Zaki, M, El-Khatib, Z, Elkout, H, Ellingsen, CL, Endres, M, Endries, AY, Er, B, Erskine, HE, Eshrati, B, Eskandarieh, S, Esmaeili, R, Esteghamati, A, Fakhar, M, Fakhim, H, Faramarzi, M, Fareed, M, Farhadi, F, Farinha, CSES, Faro, A, Farvid, MS, Farzadfar, F, Farzaei, MH, Feigin, VL, Feigl, AB, Fentahun, N, Fereshtehnejad, S-M, Fernandes, E, Fernandes, JC, Ferrari, AJ, Feyissa, GT, Filip, I, Finegold, S, Fischer, F, Fitzmaurice, C, Foigt, NA, Foreman, KJ, Fornari, C, Frank, TD, Fukumoto, T, Fuller, JE, Fullman, N, Fürst, T, Furtado, JM, Futran, ND, Gallus, S, Garcia-Basteiro, AL, Garcia-Gordillo, MA, Gardner, WM, Gebre, AK, Gebrehiwot, TT, Gebremedhin, AT, Gebremichael, B, Gebremichael, TG, Gelano, TF, Geleijnse, JM, Genova-Maleras, R, Geramo, YCD, Gething, PW, Gezae, KE, Ghadami, MR, Ghadimi, R, Falavarjani, K, Ghasemi-Kasman, M, Ghimire, M, Gibney, KB, Gill, PS, Gill, TK, Gillum, RF, Ginawi, IA, Giroud, M, Giussani, G, Goenka, S, Goldberg, EM, Goli, S, Gómez-Dantés, H, Gona, PN, Gopalani, SV, Gorman, TM, Goto, A, Goulart, AC, Gnedovskaya, EV, Grada, A, Grosso, G, Gugnani, HC, Guimaraes, ALS, Guo, Y, Gupta, PC, Gupta, R, Gupta, R, Gupta, T, Gutiérrez, RA, Gyawali, B, Haagsma, JA, Hafezi-Nejad, N, Hagos, TB, Hailegiyorgis, TT, Hailu, GB, Haj-Mirzaian, A, Haj-Mirzaian, A, Hamadeh, RR, Hamidi, S, Handal, AJ, Hankey, GJ, Harb, HL, Harikrishnan, S, Haro, JM, Hasan, M, Hassankhani, H, Hassen, HY, Havmoeller, R, Hay, RJ, Hay, SI, He, Y, Hedayatizadeh-Omran, A, Hegazy, MI, Heibati, B, Heidari, M, Hendrie, D, Henok, A, Henry, NJ, Herteliu, C, Heydarpour, F, Heydarpour, P, Heydarpour, S, Hibstu, DT, Hoek, HW, Hole, MK, Rad, E, Hoogar, P, Hosgood, HD, Hosseini, SM, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hotez, PJ, Hoy, DG, Hsiao, T, Hu, G, Huang, JJ, Husseini, A, Hussen, MM, Hutfless, S, Idrisov, B, Ilesanmi, OS, Iqbal, U, Irvani, SSN, Irvine, CMS, Islam, N, Islam, SMS, Islami, F, Jacobsen, KH, Jahangiry, L, Jahanmehr, N, Jain, SK, Jakovljevic, M, Jalu, MT, James, SL, Javanbakht, M, Jayatilleke, AU, Jeemon, P, Jenkins, KJ, Jha, RP, Jha, V, Johnson, CO, Johnson, SC, Jonas, JB, Joshi, A, Jozwiak, JJ, Jungari, SB, Jürisson, M, Kabir, Z, Kadel, R, Kahsay, A, Kalani, R, Karami, M, Matin, B, Karch, A, Karema, C, Karimi-Sari, H, Kasaeian, A, Kassa, DH, Kassa, GM, Kassa, TD, Kassebaum, NJ, Katikireddi, SV, Kaul, A, Kazemi, Z, Karyani, AK, Kazi, DS, Kefale, AT, Keiyoro, PN, Kemp, GR, Kengne, AP, Keren, A, Kesavachandran, CN, Khader, YS, Khafaei, B, Khafaie, MA, Khajavi, A, Khalid, N, Khalil, IA, Khan, EA, Khan, MS, Khan, MA, Khang, Y-H, Khater, MM, Khoja, AT, Khosravi, A, Khosravi, MH, Khubchandani, J, Kiadaliri, AA, Kibret, GD, Kidanemariam, ZT, Kiirithio, DN, Kim, D, Kim, Y-E, Kim, YJ, Kimokoti, RW, Kinfu, Y, Kisa, A, Kissimova-Skarbek, K, Kivimäki, M, Knudsen, AKS, Kocarnik, JM, Kochhar, S, Kokubo, Y, Kolola, T, Kopec, JA, Koul, PA, Koyanagi, A, Kravchenko, MA, Krishan, K, Defo, B, Bicer, B, Kumar, GA, Kumar, M, Kumar, P, Kutz, MJ, Kuzin, I, Kyu, HH, Lad, DP, Lad, SD, Lafranconi, A, Lal, DK, Lalloo, R, Lallukka, T, Lam, JO, Lami, FH, Lansingh, VC, Lansky, S, Larson, HJ, Latifi, A, Lau, KM-M, Lazarus, JV, Lebedev, G, Lee, PH, Leigh, J, Leili, M, Leshargie, CT, Li, S, Li, Y, Liang, J, Lim, L-L, Lim, SS, Limenih, MA, Linn, S, Liu, S, Liu, Y, Lodha, R, Lonsdale, C, Lopez, AD, Lorkowski, S, Lotufo, PA, Lozano, R, Lunevicius, R, Ma, S, Macarayan, ERK, Mackay, MT, Maclachlan, JH, Maddison, ER, Madotto, F, Razek, H, Razek, M, Maghavani, DP, Majdan, M, Majdzadeh, R, Majeed, A, Malekzadeh, R, Malta, DC, Manda, A-L, Mandarano-Filho, LG, Manguerra, H, Mansournia, MA, Mapoma, CC, Marami, D, Maravilla, JC, Marcenes, W, Marczak, L, Marks, A, Marks, GB, Martinez, G, Martins-Melo, FR, Martopullo, I, März, W, Marzan, MB, Masci, JR, Massenburg, BB, Mathur, MR, Mathur, P, Matzopoulos, R, Maulik, PK, Mazidi, M, McAlinden, C, McGrath, JJ, McKee, M, McMahon, BJ, Mehata, S, Mehndiratta, MM, Mehrotra, R, Mehta, KM, Mehta, V, Mekonnen, TC, Melese, A, Melku, M, Memiah, PTN, Memish, ZA, Mendoza, W, Mengistu, DT, Mengistu, G, Mensah, GA, Mereta, ST, Meretoja, A, Meretoja, TJ, Mestrovic, T, Mezgebe, HB, Miazgowski, B, Miazgowski, T, Millear, AI, Miller, TR, Miller-Petrie, MK, Mini, GK, Mirabi, P, Mirarefin, M, Mirica, A, Mirrakhimov, EM, Misganaw, AT, Mitiku, H, Moazen, B, Mohammad, KA, Mohammadi, M, Mohammadifard, N, Mohammed, MA, Mohammed, S, Mohan, V, Mokdad, AH, Molokhia, M, Monasta, L, Moradi, G, Moradi-Lakeh, M, Moradinazar, M, Moraga, P, Morawska, L, Velásquez, I, Morgado-Da-Costa, J, Morrison, SD, Moschos, MM, Mouodi, S, Mousavi, SM, Muchie, KF, Mueller, UO, Mukhopadhyay, S, Muller, K, Mumford, JE, Musa, J, Musa, KI, Mustafa, G, Muthupandian, S, Nachega, JB, Nagel, G, Naheed, A, Nahvijou, A, Naik, G, Nair, S, Najafi, F, Naldi, L, Nam, HS, Nangia, V, Nansseu, JR, Nascimento, BR, Natarajan, G, Neamati, N, Negoi, I, Negoi, RI, Neupane, S, Newton, CRJ, Ngalesoni, FN, Ngunjiri, JW, Nguyen, AQ, Nguyen, G, Nguyen, HT, Nguyen, HT, Nguyen, LH, Nguyen, M, Nguyen, TH, Nichols, E, Ningrum, DNA, Nirayo, YL, Nixon, MR, Nolutshungu, N, Nomura, S, Norheim, OF, Noroozi, M, Norrving, B, Noubiap, JJ, Nouri, HR, Shiadeh, M, Nowroozi, MR, Nyasulu, PS, Odell, CM, Ofori-Asenso, R, Ogbo, FA, Oh, I-H, Oladimeji, O, Olagunju, AT, Olivares, PR, Olsen, HE, Olusanya, BO, Olusanya, JO, Ong, KL, Ong, SKS, Oren, E, Orpana, HM, Ortiz, A, Ortiz, JR, Otstavnov, SS, Øverland, S, Owolabi, MO, Özdemir, R, A, M, Pacella, R, Pakhale, S, Pakhare, AP, Pakpour, AH, Pana, A, Panda-Jonas, S, Pandian, JD, Parisi, A, Park, E-K, Parry, CDH, Parsian, H, Patel, S, Pati, S, Patton, GC, Paturi, VR, Paulson, KR, Pereira, A, Pereira, DM, Perico, N, Pesudovs, K, Petzold, M, Phillips, MR, Piel, FB, Pigott, DM, Pillay, JD, Pirsaheb, M, Pishgar, F, Polinder, S, Postma, MJ, Pourshams, A, Poustchi, H, Pujar, A, Prakash, S, Prasad, N, Purcell, CA, Qorbani, M, Quintana, H, Quistberg, DA, Rade, KW, Radfar, A, Rafay, A, Rafiei, A, Rahim, F, Rahimi, K, Rahimi-Movaghar, A, Rahman, M, Rahman, MHU, Rahman, MA, Rai, RK, Rajsic, S, Ram, U, Ranabhat, CL, Ranjan, P, Rao, PC, Rawaf, DL, Rawaf, S, Razo-García, C, Reddy, KS, Reiner, RC, Reitsma, MB, Remuzzi, G, Renzaho, AMN, Resnikoff, S, Rezaei, S, Rezaeian, S, Rezai, MS, Riahi, SM, Ribeiro, ALP, Rios-Blancas, MJ, Roba, KT, Roberts, NLS, Robinson, SR, Roever, L, Ronfani, L, Roshandel, G, Rostami, A, Rothenbacher, D, Roy, A, Rubagotti, E, Sachdev, PS, Saddik, B, Sadeghi, E, Safari, H, Safdarian, M, Safi, S, Safiri, S, Sagar, R, Sahebkar, A, Sahraian, MA, Salam, N, Salama, JS, Salamati, P, Saldanha, RDF, Saleem, Z, Salimi, Y, Salvi, SS, Salz, I, Sambala, EZ, Samy, AM, Sanabria, J, Sanchez-Niño, MD, Santomauro, DF, Santos, IS, Santos, JV, Milicevic, MMS, Jose, BP, Sarker, AR, Sarmiento-Suárez, R, Sarrafzadegan, N, Sartorius, B, Sarvi, S, Sathian, B, Satpathy, M, Sawant, AR, Sawhney, M, Saxena, S, Sayyah, M, Schaeffner, E, Schmidt, MI, Schneider, IJC, Schöttker, B, Schutte, AE, Schwebel, DC, Schwendicke, F, Scott, JG, Sekerija, M, Sepanlou, SG, Serván-Mori, E, Seyedmousavi, S, Shabaninejad, H, Shackelford, KA, Shafieesabet, A, Shahbazi, M, Shaheen, AA, Shaikh, MA, Shams-Beyranvand, M, Shamsi, M, Shamsizadeh, M, Sharafi, K, Sharif, M, Sharif-Alhoseini, M, Sharma, R, She, J, Sheikh, A, Shi, P, Shiferaw, MS, Shigematsu, M, Shiri, R, Shirkoohi, R, Shiue, I, Shokraneh, F, Shrime, MG, Si, S, Siabani, S, Siddiqi, TJ, Sigfusdottir, ID, Sigurvinsdottir, R, Silberberg, DH, Silva, DAS, Silva, JP, Silva, NTD, Silveira, DGA, Singh, JA, Singh, NP, Singh, PK, Singh, V, Sinha, DN, Sliwa, K, Smith, M, Sobaih, BH, Sobhani, S, Sobngwi, E, Soneji, SS, Soofi, M, Sorensen, RJD, Soriano, JB, Soyiri, IN, Sposato, LA, Sreeramareddy, CT, Srinivasan, V, Stanaway, JD, Starodubov, VI, Stathopoulou, V, Stein, DJ, Steiner, C, Stewart, LG, Stokes, MA, Subart, ML, Sudaryanto, A, Sufiyan, MB, Sur, PJ, Sutradhar, I, Sykes, BL, Sylaja, PN, Sylte, DO, Szoeke, CEI, Tabarés-Seisdedos, R, Tabuchi, T, Tadakamadla, SK, Takahashi, K, Tandon, N, Tassew, SG, Taveira, N, Tehrani-Banihashemi, A, Tekalign, TG, Tekle, MG, Temsah, M-H, Temsah, O, Terkawi, AS, Teshale, MY, Tessema, B, Tessema, GA, Thankappan, KR, Thirunavukkarasu, S, Thomas, N, Thrift, AG, Thurston, GD, Tilahun, B, To, QG, Tobe-Gai, R, Tonelli, M, Topor-Madry, R, Torre, AE, Tortajada-Girbés, M, Touvier, M, Tovani-Palone, MR, Tran, BX, Tran, KB, Tripathi, S, Troeger, CE, Truelsen, TC, Truong, NT, Tsadik, AG, Tsoi, D, Car, L, Tuzcu, EM, Tyrovolas, S, Ukwaja, KN, Ullah, I, Undurraga, EA, Updike, RL, Usman, MS, Uthman, OA, Uzun, SB, Vaduganathan, M, Vaezi, A, Vaidya, G, Valdez, PR, Varavikova, E, Vasankari, TJ, Venketasubramanian, N, Villafaina, S, Violante, FS, Vladimirov, SK, Vlassov, V, Vollset, SE, Vos, T, Wagner, GR, Wagnew, FS, Waheed, Y, Wallin, MT, Walson, JL, Wang, Y, Wang, Y-P, Wassie, MM, Weiderpass, E, Weintraub, RG, Weldegebreal, F, Weldegwergs, KG, Werdecker, A, Werkneh, AA, West, TE, Westerman, R, Whiteford, HA, Widecka, J, Wilner, LB, Wilson, S, Winkler, AS, Wiysonge, CS, Wolfe, CDA, Wu, S, Wu, Y-C, Wyper, GMA, Xavier, D, Xu, G, Yadgir, S, Yadollahpour, A, Jabbari, SH, Yakob, B, Yan, LL, Yano, Y, Yaseri, M, Yasin, YJ, Yentür, GK, Yeshaneh, A, Yimer, EM, Yip, P, Yirsaw, BD, Yisma, E, Yonemoto, N, Yonga, G, Yoon, S-J, Yotebieng, M, Younis, MZ, Yousefifard, M, Yu, C, Zadnik, V, Zaidi, Z, Zaman, SB, Zamani, M, Zare, Z, Zeleke, AJ, Zenebe, ZM, Zhang, AL, Zhang, K, Zhou, M, Zodpey, S, Zuhlke, LJ, Naghavi, M, Murray, CJL

“…</p> <h4>Findings</h4> <p>At the broadest grouping of causes of death (Level 1), non-communicable diseases (NCDs) comprised the greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5–74·1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 18·6% (17·9–19·6), and injuries 8·0% (7·7–8·2). …”

Pricing reinsurance and determining optimal retention based on the criterion of maximizing social expected utility by Hong Mao, Krzysztof Ostaszewski

“…The first objective function, additive, emphasizes the total gains of both parties, while the second, multiplicative, accounts for the degree of substitution of gains of one party through the loss of the other party. …”
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应激性高血糖与前循环取栓再通后早期预后的相关性研究 The Association between Stress Hyperglycemia and Early Prognosis after Successful Recanalization with Thrombectomy in Acute Anterior Circulation Large A... by 陈柳静, 朱凯淇, 蔡学礼

“…The median SHR was 0.953 (0.817-1.100) , intravenous thrombolysis accounted for 48.1%, median admission NIHSS score was 14 (11-18) , 74 patients developed MCE within 72 hours, and 196 patients had poor functional outcome at discharge. …”
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Designing a model of resilience in government organizations of Kermanshah province by Mokhtar Heydari, gholamali tabarsa, nader sheykh-aleslami kandolosi

“…Based on the research model, "organizational resilience" as a central category based on the causal conditions of "individual, group and organizational factors" and taking into account the role of the government, economic and political factors and electronic platforms as a pattern is realized and leads to the creation of continuity in the organization and the progress of the organization. …”
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Investigating Sexual Harassment Narratives on Twitter through Computational Social Sciences by saeeide amini, MohamadAli Dadgostarniya

“…The study takes into account socioeconomic factors that led to the reflection of this topic on the virtual space and also considers the critical flow of the campaign.ConclusionThe study suggests that users are concerned about the continuation of the issue and are attempting to solve these problems by urging the judicial system to support the victims. …”
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Rethinking Figurative Language in the Rhetoric of Healthcare Allocation by Brian Li, Marta Napiorkowska

“…The excessive use of figurative language in the rhetoric of allocation may be inappropriate; instead, physicians should use patient-focused and factual language that can account for the unique moral quandaries posed by each scenario they encounter. …”
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Examining the Relationship between Differeent Types of Family Capitals and Tendency to Risky Behaviors (Case Study: Secondary School Students of Al-Shatar City and Villages) by Zahra Nematollahi, Zahera Taheri

“…Materials & Methods  The current study was of a broad type based on the method of collecting the data and an applied research based on the purpose and in terms of depth. Taking into account the criteria of time, the cross-sectional data on several traits studied in the year of 2018-2019) were collected. …”
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Young People's Housing Opportunity in Post-reform China by Weijing Deng

“…During the welfare period, people who were employed by powerful workunits and were loyal to the regime had better opportunities, since dwellings were allocated through a bureaucratic process that did not take the occupant’s income into account. During the market period, over 90% of the new housing provision was commercial home ownership. …”
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“Searching for order at all levels”. Antonio Lima-de-Faria (July 4, 1921 – December 27, 2023) by Stefano Serafini, Tatyana S. Turova

“…Now, selection is not only powerless to account for them but also logically incompatible with any attempt to explain them. …”
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Long-term characterisation of the vertical structure of the Saharan Air Layer over the Canary Islands using lidar and radiosonde profiles: implications for radiative and cloud proc... by Á. Barreto, Á. Barreto, E. Cuevas, R. D. García, R. D. García, J. Carrillo, J. M. Prospero, L. Ilić, S. Basart, A. J. Berjón, A. J. Berjón, C. L. Marrero, Y. Hernández, Y. Hernández, J. J. Bustos, S. Ničković, M. Yela

“…This relevant aspect should be properly taken into account in atmospheric modelling processes. In the case of the winter-SAL, we observed a dust-induced radiative effect dominated by SW heating (maximum heating of <span class="inline-formula">+</span>0.7 K d<span class="inline-formula">⁻¹</span> at 1.5 km, near the dust peak); both dust and atmospheric water vapour impact heating in the atmospheric column. …”
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Satellite quantification of oil and natural gas methane emissions in the US and Canada including contributions from individual basins by L. Shen, L. Shen, L. Shen, R. Gautam, M. Omara, D. Zavala-Araiza, D. Zavala-Araiza, J. D. Maasakkers, T. R. Scarpelli, A. Lorente, D. Lyon, J. Sheng, D. J. Varon, H. Nesser, Z. Qu, X. Lu, X. Lu, M. P. Sulprizio, S. P. Hamburg, D. J. Jacob

“…About 70 % of the discrepancy in the US Environmental Protection Agency (EPA) inventory can be attributed to five <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M10" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><mi mathvariant="normal">O</mi><mo>/</mo><mi mathvariant="normal">G</mi></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="25pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="d4c5f68eb7cb1e8a0de33a61761f053a"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-11203-2022-ie00004.svg" width="25pt" height="14pt" src="acp-22-11203-2022-ie00004.png"/></svg:svg></span></span> basins, the Permian, Haynesville, Anadarko, Eagle Ford, and Barnett basins, which in total account for 40 % of US emissions. We show more generally that our TROPOMI inversion framework can quantify methane emissions exceeding 0.2–0.5 Tg a<span class="inline-formula">⁻¹</span> from individual <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M12" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><mi mathvariant="normal">O</mi><mo>/</mo><mi mathvariant="normal">G</mi></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="25pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="a5ffabfc5f518014745f14484714a544"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-11203-2022-ie00005.svg" width="25pt" height="14pt" src="acp-22-11203-2022-ie00005.png"/></svg:svg></span></span> basins, thus providing an effective tool for monitoring methane emissions from large <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M13" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><mi mathvariant="normal">O</mi><mo>/</mo><mi mathvariant="normal">G</mi></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="25pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="6e0ae023bb0fafc236eda341897f0034"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-11203-2022-ie00006.svg" width="25pt" height="14pt" src="acp-22-11203-2022-ie00006.png"/></svg:svg></span></span> basins globally.…”
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Solutions to Implement Wearing Helmet Legislation: A Content Analysis by Leila Kouchakinejad-Eramsadati, Sofia Heydari Kamroodi, Enayatollah Homaie Rad, Marieh Hosseinpour, Naema Khodadadi-Hassankiadeh

“…In a previous study, the experiences of medical workers in Bandar Abbas, Iran, showed that in the implementation of wearing helmet legislation, the individual, social, family, economic and cultural factors of the motorcyclist should be taken into account [24]. Therefore, by eliminating the deficiencies in the human and financial resources of the regulatory bodies and the proper management of existing resources, some of the problems of the traffic police and driving can be solved and death and serious injuries to motorcyclists can be prevented. …”
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Semiotics of the Clothing System in Molavi's Masnavi by Effat Neqabi, Mehrnoosh Esrafilzadeh

“…The reflection of clothing signs in literary texts and poets' use of implied meanings, taking into account their cultural context, needs more investigation and reflection, which we are looking for in this article. …”
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Wisdom of the Established Pattern by Joel Janhonen

“…Arguably, a stance or disposition contains wisdom if it accounts for the overarching pattern, even if its applicability in individual cases is questionable. …”
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Poetry Criticism Among Critics of the Subcontinent by mahdi rahimpoor

“…In this article, we have first introduced the critical accounts of the poem, and then we have pointed out the motives of some of these critics in writing their criticisms, and then we have examined and analyzed these criticisms. …”
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A REFORMA DO ENSINO MÉDIO: DO PROJETO DE LEI Nº 6.840/2013 À LEI Nº 13.415/2017 by Alana Lemos Bueno

“…Essa oposição foi organizada por nós na categoria modelos para o ensino médio, que se apresentava em duas frentes opostas na argumentação dos reformadores: como oposição à “utopia” do princípio da politecnia e como objeção aos Institutos Federais por conta de suas dificuldades de financiamento; e como legitimação do modelo pernambucano enquanto modelo de parceria público-privado, da política de tempo integral e da política de accountability. Isto é, um modelo de fácil replicação em termos de financiamento. …”
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Perceptions of the future teachers about the organizational culture of the secondary education practical centers Percepciones de los futuros docentes sobre la cultura organizaciona... by Francisco Manuel Morales Rodríguez, Manuel Alejandro Narváez Peláez, Ana María Morales Rodríguez

“…The results show that the future teachers think that they should give class taking into account the diversity of students in their classroom, they should review their techniques and teaching strategies in the training process and their continuous updating.…”
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Criticism of Ruhollah Rahimi's Translation of the Novel "Under the Feet of Mothers" based on the Poetics Approach of the Translation by Henri Meschonnic in 1972 by Abbas Ganjali, Sayed Mahdi Nouri keyzghani, Masoud Salmani Haghighi

“…With the investigations carried out on the translation text, the components of experimental application, theoretical application, and inter-poetics relations in Rahimi's translation are more frequent and have more manifestations.Considering that the mentioned novel has the characteristics of a literary text and has melodious folk and literary expressions and interpretations, and also despite the difference of cultural elements in the two languages, literal and direct translation cannot be appropriate to transfer meanings; therefore, the poetics approach of Meschonnic’s translation is a solution in this situation and helps to provide a suitable and at the same time accurate translation.In terms of transparency and centripetalism, the translator, taking into account the textual relationship between the original and target languages, as in the original text, used simple and unpretentious words and phrases in his translation, and his writing is full of rhythmic sentences with a pleasant pattern, which plays an important role in conveying the meaning and emotional load of the text.In the section of experimental application and theoretical application, the translator has used the components considered for theoretical application such as deletion, displacement, and additions, in order to ennoble and glorify his text, which can be a special type of ideology in translation, adopted by the translator to advance his goals in order to provide a literary translation.In the field of inter-poetics relations, it should be said that the translator has correctly used the tools needed to establish a precise and desirable relationship between the original text and the target text, and has responded to each of the prominent elements of the source text in the target text, and added to the integrity of the structure of the translated text. …”
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