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        <rdf:li rdf:resource="http://hdl.handle.net/10453/195956" />
        <rdf:li rdf:resource="http://hdl.handle.net/10453/195853" />
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    <dc:date>2026-08-11T02:41:22Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/10453/195956">
    <title>Generative Artificial Intelligence Model for Multi-Granularity Power Data Simulation</title>
    <link>http://hdl.handle.net/10453/195956</link>
    <description>Title: Generative Artificial Intelligence Model for Multi-Granularity Power Data Simulation
Authors: Jiang, Y; Xiang, S; Dai, Y; Cheng, D
Abstract: Electric power resources are essential for the efficient and orderly development of society. Accurate power load forecasting is a key driver for the low-carbon upgrade of power systems. Traditional forecasting methods often struggle to capture long-term dependencies. Additionally, extracting complex nonlinear features from data remains a significant challenge, making it challenging to meet the accuracy demands of modern power systems. Besides, current deep learning-based forecasting methods cannot simulate multi-granularity power load data. To address these challenges, this paper presents a Generative Pre-trained Transformer model, GPT4PLTS, designed for power data simulation and fine-grained power load forecasting. The model leverages the Transformer architecture, incorporating the first six layers of the GPT decoder structure. It utilizes a multi-head attention mechanism to extract temporal features and includes a time alignment layer to maintain the sequence of time-series data, addressing both short-term and long-term dependencies. Extensive experiments are conducted on load observations from 2000 enterprises. The results demonstrate that GPT4PLTS achieves high accuracy in data simulation and forecasts across different time granularities, particularly excelling in short and medium-term predictions. Future research could focus on optimizing the model structure to enhance the model's generalization ability.</description>
    <dc:date>2025-02-01T00:00:00Z</dc:date>
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  <item rdf:about="http://hdl.handle.net/10453/195853">
    <title>Mapping drivers of life expectancy change in Asia from 1990 to 2023</title>
    <link>http://hdl.handle.net/10453/195853</link>
    <description>Title: Mapping drivers of life expectancy change in Asia from 1990 to 2023
Authors: Kang, J; Kim, HJ; Kim, MS; Abalos, JB; Abbastabar, H; Abd-Elsalam, S; Abdulkader, RS; Abedi, A; Abeywickrama, HM; Abidi, SH; Abiodun, OO; Aboagye, RG; Aburuz, S; Adetokunboh, OO; Adhikary, RK; Adnani, QES; Afzal, MS; Afzal, S; Aghamir, SMK; Ahmad, A; Ahmad, D; Ahmad, F; Ahmad, S; Ahmadi, A; Ahmed, A; Ahmed, H; Ahmed, M; Aithala, JP; Ajami, M; Akbarialiabad, H; Akinosoglou, K; Al Hasan, SM; Al-Ajlouni, Y; Alam, K; Alanezi, FM; Alanzi, TM; Alhabib, KF; Al-Hanawi, MK; Ali, A; Ali, A; Ali, L; Ali, MD; Ali, MU; Ali, R; Ali, SS; Al-Ibraheem, A; Alif, M; Aljunid, SM; Al-Kaif, MA; Almazan, JU; Alqahtani, JS; Alsabri, MA; Altaf, A; Al-Zubayer, A; Anh, NH; Anil, A; Anwar, S; Anwar, SL; Anwer, R; Aremu, A; Ariffin, H; Arul, S; Aryntayeva, N; Ashraf, T; Assembekov, B; Athari, SS; Atreya, A; Aujayeb, A; Ayatollahi, H; Azhar, GS; Aziz, MY; Badar, M; Asl, FB; Bahurupi, Y; Bai, R; Baig, AA; Bajpai, RC; Banach, M; Banik, R; Barengo, NC; Barua, L; Basharat, Z; Basu, S; Batra, K; Baune, BT; Beeraka, NM; Belay, BM; Bell, ML; Bhadoria, AS; Bhardwaj, N; Bhardwaj, P; Bhaskar, S; Bhat, AN; Bhattacharjee, P; Bhatti, GK; Bhatti, JS; Braithwaite, D; Butt, NS; Butt, ZA; Cao, S; Carvalho, AF; Cegolon, L; Cenderadewi, M; Cerin, E; Chakraborty, C; Chandika, RM; Chang, J-C; Chanie, GS; Chattu, VK; Chaudhary, AA; Chaurasia, A; Chen, A-T; Chen, H; Chen, H; Chen, S; Chew, NW; Chi, G; Chichagi, F; Chimoriya, R; Cho, WCS; Chong, B; Chong, YY; Choudhari, SG; Chowdhury, MAK; Chu, D-T; Chukwu, IS; Chung, E; Chung, S-C; Chung, S; Criqui, MH; Cui, X; Dalakoti, M; Daniel, RA; Darcho, SD; Darwesh, AM; Das, JK; Das, S; Dash, NR; Davletov, D; Davletov, K; De la Hoz, FP; Deb, N; Dee, EC; Dervišević, E; Desale, AT; Deuba, K; Dhali, A; Dhama, K; Dhamija, RK; Dharmaratne, SD; Dhingra, S; Dipeolu, IO; Dohare, S; Doshi, OP; Doshi, RP; Dsouza, AC; Dsouza, VS; Duraes, AR; Duraisamy, S; Durojaiye, OC; Dutta, S; Efendi, F; Ekholuenetale, M; Elhabashy, HR; El-Metwally, AA; Elsohaby, I; Eshrati, B; Eskandarieh, S; Farhana, Z; Fauk, NK; Feizkhah, A; Fekadu, G; Fereshtehnejad, S-M; Fisher, JL; Foroutan, B; Freitas, A; Fukumoto, T; Sridevi, G; Ganesan, B; Gao, X; Garg, VK; Gautam, P; Gautam, RK; Gebrehiwot, M; Gebremedhin, H; Getahun, GK; Ghadirian, F; Jolfayi, AG; Gheno, G; Gholamalizadeh, M; Goel, A; Golechha, M; Guan, B; Guan, S-Y; Guo, Z; Guo, Z; Gupta, B; Gupta, R; Gupta, S; Gupta, VK; Guttoo, P; Habibzadeh, F; Habteyohannes, AD; Halboup, AM; Hamadeh, RR; Hanif, A; Hanifi, N; Hanna, F; Harapan, H; Hasan, F; Dehkordi, AH; Hasnain, S; Hassan, S; Havmoeller, RJ; He, G; He, Q; Heidari, M; Herrera-Serna, BY; Hettiarachchi, D; Hezam, K; Hiraike, Y; Holla, R; Horita, N; Hossain, A; Hossain, M; Hossain, S; Hossain, MB; Hosseinzadeh, M; Huang, J; Hussain, J; Hussain, MA; Huynh, H-H; Ibrahim, UI; Ibrayeva, A; Iftikhar, PM; Imam, MT; Immurana, M; Iqbal, M; Isa, MA; Islam, R; Islam, MS; Ismail, NE; Iwagami, M; Iyer, M; Jain, N; Jairoun, AA; Jaiswal, V; Jakhmola-Mani, R; Javaid, SS; Jayaram, S; Jayatilleke, AU; Jebasingh, FK; Jee, SH; Jin, W; Jonas, JB; Jose, J; Joshua, CE; Jürisson, M; Jyoti, A; Kabir, A; Kabir, Z; Kakkar, AK; Kalankesh, LR; Kalra, S; Kamath, R; Kanmodi, KK; Kantar, RS; Kar, D; Karakasis, P; Karimi, A; Karun, S; Kashoo, FZ; Kaushal, K; Keykhaei, M; Khaing, IK; Khajuria, H; Khan, A; Khan, KU; Khan, M; Khan, MJ; Khan, MA; Khan, N; Khanal, V; Kashani, HRK; Khuanbai, Y; Khubchandani, J; Kim, J; Kim, K; Kim, YJ; Kishore, L; Shivakumar, K; Kochhar, S; Koh, DSQ; Laxminarayana, SLK; Krishan, K; Krishnamoorthy, V; Kua, C-H; Kuddus, M; Kujur, A; Kulimbet, M; Kumar, A; Kumar, D; Kumar, J; Kumar, M; Kumar, N; Kumar, N; Kumar, R; Kumar, V; Kundu, S; Kurniasari, MD; Kusnali, A; Kustanti, CY; Kuttybayev, A; Lahariya, C; Lai, DTC; Lai, H; Lakanova, B; Lakhani, A; Larsson, AO; Lasrado, S; Laxmaiah, A; Le, HTT; Le, MHN; Le, NHH; Lee, M; Lee, SW; Lee, W-C; Lee, YH; Leong, E; Li, A; Li, M-C; Li, W; Li, Y; Li, Y; Li, Z; Li, Z; Ligade, VS; Lin, J; Lin, Q; Lin, R-T; Liu, G; Liu, J; Liu, X; Lv, L; Ma, S; Feei, Z; Madadizadeh, F; Majeed, A; Maled, V; Malhotra, K; Malik, AA; Malik, I; Mannethodi, K; Mansournia, MA; Marzo, RR; Matei, CN; Mathangasinghe, Y; Mathur, MR; Mattiello, R; Meena, JK; Mehrotra, R; Menezes, RG; Meo, AS; Meo, A; Mettananda, S; Micha, G; Miller, TR; Minervini, G; Ming, W-K; Mirghafourvand, M; Mirrakhimov, EM; Mirza, M; Mishra, V; Mithra, P; Mohamed, J; Mohammad, T; Mohseni, M; Mokdad, AH; Moni, MA; Ghalibaf, AM; Morawska, L; Motappa, R; Mouodi, S; Mubarak, R; Mubarik, S; Muniyandi, M; Munkhsaikhan, Y; Murlimanju, BV; Mushtaq, A; Muthu, S; Myung, W; Nagaraju, SP; Naik, GR; Nainu, F; Najmuldeen, HHR; Nambi, G; Nangia, V; Naqvi, AA; Swamy, SN; Nascimento, GG; Natto, ZS; Nayak, BP; Nayon, FS; Nega, AT; Nepal, S; Nguefack-Tsague, G; Nguyen, CT; Nguyen, D; Phuong The Nguyen,; Niazi, RK; Niranjan, V; Nomura, S; Noor, STA; Noreen, M; Nawsherwan,; Nugen, F; Nzoputam, CI; Nzoputam, OJ; Oh, I-H; Okekunle, AP; Olagunju, AT; Omonisi, AE; Owolabi, MO; Oyeyemi, IT; Mahesh, PA; Padubidri, JR; Palaniraja, S; Panda-Jonas, S; Pandey, AK; Pandey, A; Pandi-Perumal, SR; Pang, K; Parikh, RR; Park, E-K; Park, S; Parmar, A; Patel, HM; Patel, NN; Patel, SK; Patil, S; Patra, A; Patwary, MH; Paudel, D; Paudel, S; Pawar, S; Pepito, VCF; Perico, N; Pham, HN; Philip, AK; Phillips, MR; Piracha, ZZ; Poddighe, D; Poluru, R; Avudaiappan, AP; Pourtaheri, N; Prabhu, AR; Pradhan, J; Pradhan, PMS; Prakash, V; Prashant, A; Puvvula, J; Qiu, J-Y; Radhakrishnan, V; Shahraki, HR; Raghuveer, P; Rahman, M; Rahman, MHU; Rahman, M; Rahman, MA; Rahmani, AM; Rajendran, V; Rajindrajith, S; Rajput, P; Ramasamy, C; Ramasamy, SK; Ramphul, K; Rana, K; Rana, RK; Ranabhat, CL; Rani, S; Rao, CR; Rao, K; Rao, M; Rao, SJ; Rashid, M; Rasouli-Saravani, A; Rastogi, P; Rathish, D; Rauniyar, SK; Redwan, EM; Remuzzi, G; Reshmi, B; Rhee, TG; Rias, YA; Ribeiro, AI; Rizvi, MR; Romadlon, DS; Rony, MKK; Ross, AGP; Rout, HS; Roy, B; Roy, S; Rwegerera, GM; Chandan, SN; Sabet, CJ; Sadeghi, M; Saeed, U; Safari, M; Sagar, R; Sharif-Askari, NS; Sahebkar, A; Sahoo, PM; Saif, Z; Sajib, RUZ; Sajid, MR; Salam, N; Saliev, T; Samargandy, S; Samodra, YL; Samy, AM; Sankar, S; Santric-Milicevic, MM; Saravanan, A; Sarkar, T; Sarode, GS; Sarode, SC; Satpathy, M; Saulam, J; Sawhney, M; Saxena, J; Saya, GK; Schuermans, A; Sekar, D; Selvaraj, S; Sengupta, P; Senthilkumaran, S; Sepanlou, SG; Shafie, M; Shah, S; Shahab, M; Shahid, S; Shahid, SA; Shaikh, MA; Shamim, MA; Shamsi, A; Shamsutdinova, A; Shan, D; Shanawaz, M; Shankar, A; Shannawaz, M; Sharath, M; Rad, JS; Sharma, G; Sharma, M; Sharma, U; Sharma, V; Shastry, S; Shen, J; Shenoy, RR; Shetty, A; Shetty, BSK; Shetty, M; Shetty, P; Shetty, S; Shetty, SS; Shiue, I; Eshkiki, ZS; Shrestha, R; Shuval, K; Siddig, EE; Singh, A; Singh, A; Singh, B; Singh, H; Singh, JA; Singh, K; Singh, P; Singh, S; Singh, S; Sinha, MK; Sinha, R; Sinto, R; Solikhah, S; Sood, A; Sood, P; Sreeramareddy, CT; Srinivasamurthy, SK; Subedi, N; Subramaniyan, V; Suleman, M; Sulistiyorini, D; Sun, J; Sun, Z; Sun, Z; Sundaram, SP; Sunkersing, D; Suresh, V; Swain, CK; Y, SST; Tabarés-Seisdedos, R; Tabatabaei, SM; Tabibi, R; Tabish, M; Soodejani, MT; Taiba, J; Talaat, IM; Tampa, M; Tang, H; Tanwar, M; Tareque, I; Tarigan, IU; Tariq, S; Temsah, R; Teramoto, M; Tewari, J; Thakur, R; Thapar, R; Thomas, N; Thomas, NK; Ticoalu, JHV; Tleshev, M; Tomo, S; Tovani-Palone, MR; Tran, BX; Tran, QTH; Tran, TH; Duc, NTM; Tripathi, M; Tse, G; Tualeka, AR; Tumurkhuu, M; Tye, SC; Tyrovolas, S; Ullah, S; Umair, M; Umakanthan, S; Unnikrishnan, B; Upadhya, D; Upadhyay, E; Usman, JS; Vaithinathan, AG; Valderas, JM; Valdez, PR; Valenti, M; Van den Eynde, J; Varghese, J; Varthya, SB; Vellingiri, B; Venketasubramanian, N; Viet-Nhi, N-K; Villani, S; Vinayak, M; Waheed, Y; Wang, R; Wang, S; Wang, Y; Waqar, AB; Waqas, M; Wei, F-L; Weintraub, RG; Wicaksana, AL; Wickramasinghe, DP; Wickramasinghe, ND; Wijarnpreecha, K; Wilandika, A; Wong, YJ; Xia, Z; Xiao, H; Xiao, L; Xie, W; Xu, S; Xu, X; Xue, M; Yadav, MK; Yahya, G; Yamagishi, K; Yano, Y; Yao, H; Yarahmadi, A; Yasufuku, Y; Ye, P; Yi, S; Yin, D; Yip, P; Yonemoto, N; Yu, C; Yu, Y; Yunus, G; Zeariya, MGM; Zebari, SM; Zhang, CJP; Zhang, D; Zhang, L; Zhang, X; Zhang, Y; Zhang, Z; Zhong, CC; Zhumagaliuly, A; Zia, H; Zielińska, M; Zoghi, G; Zou, Z; Zuber, M; Hay, SI; Shin, JI; Yon, DK; Steel, N
Abstract: Life expectancy is a key indicator of population health and an important guide for health policy1,2. Although Asia represents approximately 60% of the global population, studies of longitudinal trends in life expectancy and their underlying drivers across Asian countries remain limited, with most previous research focused on western or high-income settings3, 4, 5–6. Here we provide a comprehensive analysis of life expectancy, cause-specific mortality and risk factors in 1990–2023 across 34 Asian countries and territories, utilizing data from the Global Burden of Disease Study 20231,7. Life expectancy increased in all countries and territories between 1990 and 2023, with the largest annual gains observed in South Asia and the smallest annual gains in high-income Asia Pacific countries and territories. Reductions in cardiovascular disease mortality were the primary contributors to life expectancy gains in Central Asia, East Asia and high-income Asia Pacific, whereas declines in diarrhoeal diseases and tuberculosis contributed most in South and Southeast Asia. In 2019–2023, life expectancy declined in several Asian regions, largely driven by the COVID-19 pandemic, with a nearly two-year loss in the first year of the pandemic. The causes of changes in life expectancy and the contributing risk factors varied across regions and countries/territories. Therefore, under the principles of proportional universalism, proactive and effective policies at both regional and national levels are essential to reduce premature mortality and reduce life expectancy inequalities across Asia.</description>
  </item>
  <item rdf:about="http://hdl.handle.net/10453/195780">
    <title>Acknowledgements</title>
    <link>http://hdl.handle.net/10453/195780</link>
    <description>Title: Acknowledgements
Authors: Bailo, F; Booth, E; Williams, J</description>
    <dc:date>2026-06-18T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/10453/195779">
    <title>Collecting, mapping, and modelling social media data with Wikibase</title>
    <link>http://hdl.handle.net/10453/195779</link>
    <description>Title: Collecting, mapping, and modelling social media data with Wikibase
Authors: Bailo, F; Booth, E; Rizoiu, M-A; Williams, J</description>
    <dc:date>2026-06-18T00:00:00Z</dc:date>
  </item>
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