Burden of disease scenarios for 204 countries and territories, 2022-2050: a forecasting analysis for the Global Burden of Disease Study 2021 by Vollset, SE, Ababneh, HS, Abate, YH, Lacey, BWH, GBD 2021 Forecasting Collaborators

“…The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4-40·3) to 41·1% (33·9-48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. …”

Expanding the landscape of antibody discovery by Johnson, Shelbe, DeKosky, Brandon J

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Identifying software vulnerabilities via code representation learning by Wu, Bozhi

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Association of nucleoside reverse transcriptase inhibitors with adverse perinatal outcomes in pregnant women living with HIV: systematic review and meta-analysis by Cowdell, I, Beck, K, Hey, M, Portwood, C, Sexton, H, Kumarendran, M, Brandon, Z, Kirtley, S, Hemelaar, J

“…</p> <br> <p><strong>Results:</strong> 22 cohort studies including 124,478 WLHIV met the eligibility criteria. ART containing tenofovir disoproxil fumarate was associated with lower risk of preterm birth (Risk Ratio 0.89; 95% confidence interval 0.81-0.97), very preterm birth (0.58; 0.40-0.86), small for gestational age (0.76; 0.59-0.98), very small for gestational age (0.60; 0.48-0.73), stillbirth (0.49; 0.31-0.78), and neonatal death (0.61; 0.40-0.93), compared to ART not containing tenofovir disoproxil fumarate. …”

Life cycle assessment of greenhouse gas emissions and carbon mitigation methods in probiotic-fed broiler production by Chin, H.W., Tee, T.P., Tan, N.P., Angkanaporn, Kris

“…The experimental results indicated that energy consumption, i.e. electricity and fuel, have the highest greenhouse emissions (44%), followed by feed production with 40% of the total 53.51 t CO2-eq/house/cycle in the probiotic-fed broiler farm. …”

Functional homogeneity and specificity of topological modules in human proteome by Kaalia, Rama, Rajapakse, Jagath Chandana

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Modelling, exploration and optimization of hardware accelerators for deep learning applications by Dutt, Arko

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Modeling and compensation of asymmetric piezo-actuated flexure-based system hysteresis by Zhou, Chao

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Applications of blockchain in business processes: a comprehensive review by Viriyasitavat, Wattana, Xu, Li Da, Niyato, Dusit, Bi, Zhuming, Hoonsopon, Danupol

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Predicting clinical outcome of neuroblastoma patients using an integrative network-based approach by Rajapakse, Jagath Chandana, Azuaje, Francisco, Tranchevent, Léon-Charles, Nazarov, Petr V., Kaoma, Tony, Schmartz, Georges P., Muller, Arnaud, Kim, Sang-Yoon

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Detection of florfenicol resistance in opportunistic Acinetobacter spp. infections in rural Thailand by Tan, Bernice Siu Yan, Mohan, Lalit, Watthanaworawit, Wanitda, Ngamprasertchai, Thundon, Nosten, Francois H., Ling, Clare, Bifani, Pablo

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Sampling-based approaches for image and video matting by Ehsan Shahrian Varnousfaderani

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Wideband variable-gain amplifiers based on a pseudo-current-steering gain-tuning technique by Kong, Lingshan, Chen, Yong, Yu, Haohong, Pan, Quan, Boon, Chirn Chye, Mak, Pui-In, Martins, Rui P.

“…For the time-domain tests, VGA-I (VGA-II) exhibits a jitter of 40 ps (30 ps), under a 2 7 -1 PRBS input at 12 Gb/s. …”
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Tracing RNA biography: in situ transcriptome profiling by novel spatial omics technologies by Ren, Jingyi (Rena)

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HopPER : an adaptive model for probability estimation of influenza reassortment through host prediction by Yin, Rui, Zhou, Xinrui, Rashid, Shamima, Kwoh, Chee Keong

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Applications of deep learning for physical layer of wireless communication systems by Xie, Yihang

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Computer aided diagnoses for detecting the severity of Keratoconus by Abdullah, Osamah Qays, Boughariou, Aicha, Al-Azawi, Fadia W., Al-Araji, Ahmed Mohammed Khadum Abdulamer, Mehdy, Mehdy Mwaffeq

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Promoting the sustainability of blockchain in web 3.0 and the metaverse through diversified incentive mechanism design by Doe, Daniel Mawunyo, Li, Jing, Dusit, Niyato, Gao, Zhen, Li, Jun, Han, Zhu

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Isolation of Spirosoma foliorum sp. nov. from the fallen leaf of Acer palmatum by a novel cultivation technique by Han, Ho Le, Nurcahyanto, Dian Alfian, Muhammad, Neak, Lee, Yong-Jae, Nguyen, Tra T. H., Kim, Song-Gun, Chan, Sook Sin, Khoo, Kuan Shiong, Chew, Kit Wayne, Show, Pau Loke, Tran, Thi Ngoc Thu, Nguyen, Thi Dong Phuong, Chiu, Chen Yaw

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Towards optimal scheduling of deep learning training jobs in GPU clusters by Gao, Wei

“…Empirically, AutoSched improves the performance of state-of-the-art schedulers by up to 46% with 132X configuration tuning latency reduction. …”
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