Progress in metafibers for sustainable radiative cooling and prospects of achieving thermally drawn metafibers by Qi, Miao, Wu, Tingting, Wang, Zhe, Wang, Zhixun, He, Bing, Zhang, Haozhe, Liu, Yanting, Xin, Jiwu, Zhou, Tianzhu, Zhou, Xuhui, Wei, Lei

“…Metamaterials with unique photonic structures are applicable to radiative cooling and have been extensively studied. Incorporating meta-elements to the fiber level of the fabric to construct metafibers is expected to achieve personal thermal management through radiative cooling. …”
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Childhood bullying and mental health: understanding risk, resilience, and the role of anti-bullying interventions by Guzman Holst, C

“…I will present evidence from a systematic review and meta-analysis and data from a randomised controlled trial (RCT) of an antibullying intervention in the UK to examine these associations. …”

Exhibiting Southeast Asia in the cultural Cold War: geopolitics of regional art exhibitions (1940s-1980s) by Ditzig Kathleen Elizabeth Li-Ying

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Machine learning-based approaches for large-scale temporal data analytics by Seyed Ali Majid Zonoozi

“…The proposed model can effectively capture spatial and temporal dependencies in spatio-temporal sequences and detect abnormal crowd density patterns in geo-spatial domain, using temporal meta-data prediction error. The conducted experiments that used real world taxi datasets, shows the effectiveness of the proposed model in detecting abnormal crowd density patterns in geo-spatio-temporal environments, that cannot be detected by the existing reconstruction-based anomaly detection methods.…”
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The influence of soil age on ecosystem structure and function across biomes by Delgado-Baquerizo, Manuel, Reich, Peter B., Bardgett, Richard D., Eldridge, David J., Lambers, Hans, Wardle, David A., Reed, Sasha C., Plaza, César, Png, Kenny Guochen, Neuhauser, Sigrid, Berhe, Asmeret Asefaw, Hart, Stephen C., Hu, Hang-Wei, He, Ji-Zheng, Bastida, Felipe, Abades, Sebastián, Alfaro, Fernando D., Cutler, Nick A., Gallardo, Antonio, García-Velázquez, Laura, Hayes, Patrick E., Hseu, Zeng-Yei, Pérez, Cecilia A., Santos, Fernanda, Siebe, Christina, Trivedi, Pankaj, Sullivan, Benjamin W., Weber-Grullon, Luis, Williams, Mark A., Fierer, Noah

“…By combining a cross-biome global field survey, including data for 32 soil, plant, and microbial properties in 16 soil chronosequences, with a global meta-analysis, we show that soil age is a significant ecosystem driver, but only accounts for a relatively small proportion of the cross-biome variation in multiple ecosystem properties. …”
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Attention-aware resource allocation and QoE analysis for metaverse xURLLC services by Du, Hongyang, Liu, Jiazhen, Niyato, Dusit, Kang, Jiawen, Xiong, Zehui, Zhang, Junshan, Kim, Dong In

“…To model the QoE mathematically, we propose a novel metric named Meta-Immersion that incorporates both the objective KPIs and subjective feelings of Metaverse users. …”
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Identification of genetic effects underlying type 2 diabetes in South Asian and European populations by Loh, Marie, Zhang, Weihua, Ng, Hong Kiat, Schmid, Katharina, Lamri, Amel, Tong, Lin, Meraj Ahmad, Lee, Jung-Jin, Ng, Maggie C. Y., Petty, Lauren E., Spracklen, Cassandra N., Takeuchi, Fumihiko, Md. Tariqul Islam, Jasmine, Farzana, Kasturiratne, Anuradhani, Muhammad Kibriya, Mohlke, Karen L., Paré, Guillaume, Prasad, Gauri, Mohammad Shahriar, Chee, Miao Ling, de Silva, H. Janaka, Engert, James C., Gerstein, Hertzel C., Mani, K. Radha, Sabanayagam, Charumathi, Vujkovic, Marijana, Wickremasinghe, Ananda R., Wong, Tien Yin, Yajnik, Chittaranjan S., Salim Yusuf, Habibul Ahsan, Bharadwaj, Dwaipayan, Anand, Sonia S., Below, Jennifer E., Boehnke, Michael, Bowden, Donald W., Chandak, Giriraj R., Cheng, Ching-Yu, Kato, Norihiro, Mahajan, Anubha, Sim, Xueling, McCarthy, Mark I., Morris, Andrew P., Kooner, Jaspal S., Saleheen, Danish, Chambers, John C.

“…We carried out a genome-wide association meta-analysis with South Asian T2D cases (n = 16,677) and controls (n = 33,856), followed by combined analyses with Europeans (neff = 231,420). …”
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Conflict-free urban air mobility planning with an airspace-resource-centric approach by Dai, Wei

“…The formulation is a non-convex optimization problem with both continuous and 0-1 variables and implicit functions, which is difficult to resolve using mathematical programming or meta-heuristic optimization. To solve this problem, we proposed a method based on deep reinforcement learning (DRL). …”
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Assessing long-term effectiveness and cost-effectiveness of statin therapy in the UK: a modelling study using individual participant datasets by Mihaylova, B, Wu, R, Zhou, J, Williams, C, Schlackow, I, Emberson, J, Reith, C, Keech, A, Robson, J, Parnell, R, Armitage, J, Gray, A, Simes, J, Baigent, C

“…UK primary and hospital care data informed healthcare costs (2020/2021 UK£); £1.22 standard or £1.68 higher intensity generic statin therapy per 28 tablets; and Health Survey for England data informed health-related quality of life. Meta-analyses of trials and cohort studies informed the effects of statin therapies on cardiovascular events, incident diabetes, myopathy and rhabdomyolysis.…”

Normative modeling of brain morphometry in clinical high risk for psychosis by Haas, Shalaila S., Ge, Ruiyang, Agartz, Ingrid, Amminger, G. Paul, Andreassen, Ole A., Bachman, Peter, Baeza, Inmaculada, Choi, Sunah, Colibazzi, Tiziano, Cropley, Vanessa L., de la Fuente-Sandoval, Camilo, Ebdrup, Bjørn H., Fortea, Adriana, Fusar-Poli, Paolo, Glenthøj, Birte Yding, Glenthøj, Louise Birkedal, Haut, Kristen M., Hayes, Rebecca A., Heekeren, Karsten, Hooker, Christine I., Hwang, Wu Jeong, Jahanshad, Neda, Kaess, Michael, Kasai, Kiyoto, Katagiri, Naoyuki, Kim, Minah, Kindler, Jochen, Koike, Shinsuke, Kristensen, Tina D., Kwon, Jun Soo, Lawrie, Stephen M., Lebedeva, Irina, Lee, Jimmy, Lemmers-Jansen, Imke L. J., Lin, Ashleigh, Ma, Xiaoqian, Mathalon, Daniel H., McGuire, Philip, Michel, Chantal, Mizrahi, Romina, Mizuno, Masafumi, Møller, Paul, Mora-Durán, Ricardo, Nelson, Barnaby, Nemoto, Takahiro, Nordentoft, Merete, Nordholm, Dorte, Omelchenko, Maria A., Pantelis, Christos, Pariente, Jose C., Raghava, Jayachandra M., Reyes-Madrigal, Francisco, Røssberg, Jan I., Rössler, Wulf, Salisbury, Dean F., Sasabayashi, Daiki, Schall, Ulrich, Smigielski, Lukasz, Sugranyes, Gisela, Suzuki, Michio, Takahashi, Tsutomu, Tamnes, Christian K., Theodoridou, Anastasia, Thomopoulos, Sophia I., Thompson, Paul M., Tomyshev, Alexander S., Uhlhaas, Peter J., Værnes, Tor G., van Amelsvoort, Therese A. M. J., van Erp, Theo G. M., Waltz, James A., Wenneberg, Christina, Westlye, Lars T., Wood, Stephen J., Zhou, Juan H., Hernaus, Dennis, Jalbrzikowski, Maria, Kahn, René S., Corcoran, Cheryl M., Frangou, Sophia

“…Design, Setting, and Participants: This case-control study used clinical-, IQ-, and neuroimaging software (FreeSurfer)-derived regional measures of cortical thickness (CT), cortical surface area (SA), and subcortical volume (SV) from 1340 individuals with CHR-P and 1237 healthy individuals pooled from 29 international sites participating in the Enhancing Neuroimaging Genetics Through Meta-analysis (ENIGMA) Clinical High Risk for Psychosis Working Group. …”
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Cognitive Systems and Signal Processing : 5th International Conference, ICCSIP 2020, Zhuhai, China, December 25-27, 2020, Revised Selected Papers / by ICCSIP (Conference) (5th : 2020 : Zhuhai, China), organiser 642897, Sun, Fuchun, 1964-, editor 600994, Liu, Huaping, 1976-, editor 600996, Fang, Bin, editor 642896

Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic analysis... by Reitsma, M. B., Kendrick, P. J., Ababneh, E., Abbafati, C., Abbasi-Kangevari, M., Abdoli, A., Abedi, A., Abhilash, E. S., Abila, D. B., Aboyans, V., Abu-Rmeileh, N. M., Adebayo, O. M., Advani, S. M., Aghaali, M., Ahinkorah, B. O., Ahmad, S., Ahmadi, K., Ahmed, H., Aji, B., Akunna, C. J., Al-Aly, Z., Alanzi, T. M., Alhabib, K. F., Ali, L., Alif, S. M., Alipour, V., Aljunid, S. M., Alla, F., Allebeck, P., Alvis-Guzman, N., Amin T. T., Amini, S., Amu, H., Amul, G. G. H., Ancuceanu, R., Anderson, J. A., Ansari-Moghaddam, A., Antonio, C. A. T., Antony, B., Anvari, D., Arabloo, J., Arian, N. D., Arora, M., Asaad, M., Ausloos, M., Awan, A. T., Ayano, G., Aynalem, G. L., Azari, S., B, D.B., Badiye, A. D., Baig, A. A., Bakhshaei, M. H., Banach, M., Banik, P.C., Barker-Collo, S. L., Bärnighausen, T. W., Barqawi, H. J., Basu, S., Bayati, M., Bazargan-Hejazi, S., Behzadifar, M., Bekuma, T. T., Bennett, D. A., Bensenor, I. M., Berfield, K. S. S., Bhagavathula, A. S., Bhardwaj, N., Bhardwaj, P., Bhattacharyya, K., Bibi, S., Bijani, A., Bintoro, B. S., Biondi, A., Birara, S., Braithwaite, D., Brenner, H., Brunoni, A. R., Burkart, K., Butt, Z. A., Caetano dos Santos, F. L., Car, Josip, Cárdenas, R., Carreras, G., Carrero, J. J., Castaldelli-Maia, J. M., Cattaruzza, M. S. S., Chang, J. C., Chen, S., Chu, D. T., Chung, S. C., Cirillo, M., Costa, V. M., Couto, R. A. S., Dadras, O., Dai, X., Damasceno, A. A. M., Damiani, G., Dandona, L.

“…We completed systematic reviews and did Bayesian meta-regressions for 36 causally linked health outcomes to estimate non-linear dose-response risk curves for current and former smokers. …”
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Creativity in Intelligent Technologies and Data Science : 4th International Conference, CIT&DS 2021, Volgograd, Russia, September 20-23, 2021 : Proceedings / by CIT&DS (Conference) (4th : 2021 : Volgograd, Russia), organiser 642924, Kravets, Alla G., editor 642925, Shcherbakov, Maxim, editor 642926, Parygin, Danila, editor 642927, Groumpos, Peter P., editor 642928

ENIGMA CHEK2gether project: a comprehensive study identifies functionally impaired CHEK2 germline missense variants associated with increased breast cancer risk by Stolarova, Lenka, Kleiblova, Petra, Zemankova, Petra, Stastna, Barbora, Janatova, Marketa, Soukupova, Jana, Achatz, Maria Isabel, Ambrosone, Christine, Apostolou, Paraskevi, Arun, Banu K., Auer, Paul, Barnard, Mollie, Bertelsen, Birgitte, Blok, Marinus J., Boddicker, Nicholas, Brunet, Joan, Burnside, Elizabeth S., Calvello, Mariarosaria, Campbell, Ian, Chan, Sock Hoai, Chen, Fei, Chiang, Jian Bang, Coppa, Anna, Cortesi, Laura, Crujeiras-González, Ana, De Leeneer, Kim, De Putter, Robin, DePersia, Allison, Devereux, Lisa, Domchek, Susan, Efremidis, Anna, Engel, Christoph, Ernst, Corinna, Evans, D. Gareth R., Feliubadaló, Lidia, Fostira, Florentia, Fuentes-Ríos, Olivia, Gómez-García, Encarna B., González, Sara, Haiman, Christopher, Hansen, Thomas van Overeem, Hauke, Jan, Hodge, James, Hu, Chunling, Huang, Hongyan, Ishak, Nur Diana Binte, Iwasaki, Yusuke, Konstantopoulou, Irene, Kraft, Peter, Lacey, James, Lázaro, Conxi, Li, Na, Lim, Weng Khong, Lindstrom, Sara, Lori, Adriana, Martinez, Elana, Martins, Alexandra, Matsuda, Koichi, Matullo, Giuseppe, McInerny, Simone, Michailidou, Kyriaki, Montagna, Marco, Monteiro, Alvaro N. A., Mori, Luigi, Nathanson, Katherine, Neuhausen, Susan L., Nevanlinna, Heli, Olson, Janet E., Palmer, Julie, Pasini, Barbara, Patel, Alpa, Piane, Maria, Poppe, Bruce, Radice, Paolo, Renieri, Alessandra, Resta, Nicoletta, Richardson, Marcy E., Rosseel, Toon, Ruddy, Kathryn J., Santamariña, Marta, Dos Santos, Elizabeth Santana, Teras, Lauren, Toland, Amanda E., Trentham-Dietz, Amy, Vachon, Celine M., Volk, Alexander E., Weber-Lassalle, Nana, Weitzel, Jeffrey N., Wiesmuller, Lisa, Winham, Stacey, Yadav, Siddhartha, Yannoukakos, Drakoulis, Yao, Song, Zampiga, Valentina, Zethoven, Magnus, Zhang, Ze Wen, Zima, Tomas, Spurdle, Amanda B., Vega, Ana, Rossing, Maria, Del Valle, Jesús, De Nicolo, Arcangela, Hahnen, Eric, Claes, Kathleen B. M., Ngeow, Joanne, Momozawa, Yukihide, James, Paul A., Couch, Fergus J., Macurek, Libor, Kleibl, Zdenek

“…The OR and 95% CI (confidence intervals) for carriers of functionally impaired, intermediate, and WT-like variants were 2.83 (95% CI, 2.35–3.41), 1.57 (95% CI, 1.41–1.75), and 1.19 (95% CI, 1.08–1.31), respectively. The meta-analysis of population-specific datasets showed similar results. …”
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A machine-learned approach for reducing airborne delays and environmental impact in terminal manoeuvring area using extended arrival management by Lim, Zhi Jun

“…To address RQ2.2 and RQ2.3, the thesis proposes implementing an extended arrival manager (E-AMAN) using the TMA delay prediction model and a meta-heuristics optimization algorithm to transfer delays from the TMA to en-route by adjusting aircraft cruising speed at 500NM, 400NM, and 300NM from the airport. …”
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Interventions for smoking cessation in hospitalised patients by Streck, JM, Rigotti, NA, Livingstone-Banks, J, Tindle, HA, Clair, C, Munafò, MR, Sterling-Maisel, C, Hartmann-Boyce, J

“…<p><b>Main results</b></p> We included 82 studies (74 RCTs) that included 42,273 participants in the review (71 studies, 37,237 participants included in the meta‐analyses); 36 studies are new to this update. …”

Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021 by Bhattacharjee, NV, Schumacher, AE, Aali, A, Almidani, O, Bandyopadhyay, S, Graham, SM, Lacey, BWH, Maude, RJ, Runghien, T, Rodriguez, JAB

“…CCF50 was modelled using an ensemble approach in which three sub-models (with two, three, and four covariates variously consisting of female educational attainment, contraceptive met need, population density in habitable areas, and under-5 mortality) were given equal weights, and analyses were conducted utilising the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. …”

Computational analysis for infectious diseases surveillance and host-pathogen interactions (in the context of Influenza A viruses) by Beyene, Biruhalem Taye

“…Finally, using the known IHFs and the "new IHF candidates" (genes connected to the IHFs from the network growing analysis), we predicted computational drug-target interactions using MetaCore. We identified 343 US Food and Drug Administration (FDA) approved drugs that had an inhibitory effect on either the known or new candidate IHFs, of which 258 were new predictions. …”
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Experimental determination of dust cloud deflagration parameters of selected hydrogen storage materials: Complex metal hydrides, chemical hydrides, and adsorbents by Khalil, YF

“…This paper discusses the results of an experimental program carried out to determine dust cloud deflagration parameters of selected solid-state hydrogen storage materials, including complex metal hydrides (sodium alanate and lithium borohydride/magnesium hydride mixture), chemical hydrides (alane and ammonia borane) and activated carbon (Maxsorb, AX-21). …”

TFIDF meets deep document representation : a re-visit of co-training for text classification by Chen, Zhiwei

“…Many text classification tasks face the challenge of lack of sufficient la- belled data. Co-training algorithm is a candidate solution, which learns from both labeled and unlabelled data for better classification accuracy. …”
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