Environmental and social factors influencing the spatiotemporal variation of archaeological sites during the historical period in the Heihe River basin, northwest China by Shi, Zhilin, Chen, Tingting, Storozum, Michael J., Liu, Fengwen

“…Although climate change and the local environment affected human activities in Heihe River basin, geopolitical events, such as forced mass migrations, are more responsible for influencing the distribution of archaeological sites over the past 2000 years.…”
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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

“…The analysis of evolutionary success of avian, human and swine viruses generated through reassortment across different years using HopPER further revealed the reassortment history of the influenza viruses. …”
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An NKX2-1GFP and TP63tdTomato dual fluorescent reporter for the investigation of human lung basal cell biology by Goh, Kim Jee, Tan, Ee Kim, Lu, Hao, Roy, Sudipto, Dunn, Norris Ray

“…To address this outstanding question, in the last several years differentiation protocols incorporating human pluripotent stem cells (hPSC) have been developed to produce human basal cells in vitro with varying efficiencies. …”
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HAPS-based relaying for integrated space-air-ground networks with hybrid FSO/RF communication : a performance analysis by R., Swaminathan, Sharma, Shubha, Vishwakarma, Narendra, Madhukumar, A. S.

“…In addition, the complementary characteristics exhibited by FSO and RF links to atmospheric effects have paved the way for hybrid FSO/RF communication. In recent years, a growing interest is also witnessed in the research and development of space-air-ground integrated network (SAGIN). …”
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Broad learning vs. deep learning by Gu, Haowei

“…In recent years, deep learning has been used in many kinds of industrial fields and saw dramatic breakthroughs. …”
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Incremental learning technologies for semantic segmentation by Yang, Yizhuo

“…Semantic segmentation models based on deep learning technologies have achieved remarkable results in recent years. However, many models encounter the problem of catastrophic forgetting, i.e. when the model is required to learn a new task without labels for old objects, its performance drops significantly on the previous tasks. …”
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Deep learning for multiple object tracking by Gao, Junjie

“…The past several years has seen the rapid development of multiple object tracking object detection and re-identification. …”
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Photoacoustic imaging algorithm development and simulation by Tao, Pengcheng

“…Photoacoustic imaging (PAI) is a very promising medical imaging mode developed in recent years. A novel imaging technique that utilizes the photoacoustic effect to capture 2D or 3D images of the internal morphological structure of substances. …”
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Strategic production process design with additive manufacturing in a make-to-stock environment by Chua, Ping Chong, Moon, Seung Ki, Ng, Yen Ting, Lopez, Manet

“…With the development and gradual maturity of additive manufacturing (AM) over the years, AM has reached a stage where implementation into a conventional production system becomes possible. …”
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Prevalence of lumbosacral transition vertebrae in symptomatic adults and the levels of degeneration in the suprajacent disc by Song, Joshua, Betzler, Brjan Kaiji, Kaliya-Perumal, Arun-Kumar, Oh, Jacob Yoong-Leong

“…Retrospectively, 545 patients (Age = 57.6 ± 18.3 years; Male = 277; Female = 268) who underwent radiographic evaluation of the lumbar spine for lower back pain or radicular symptoms were shortlisted. …”
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Empowering student self-regulated learning and science education through ChatGPT: a pioneering pilot study by Ng, Davy Tsz Kit, Tan, Chee Wei, Leung, Jac Ka Lok

“…In recent years, AI technologies have been developed to promote students' self-regulated learning (SRL) and proactive learning in digital learning environments. …”
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Modeling and control of an air handling unit using dynamic fuzzy neural networks by Kothandaraman Neelanarayanan.

“…The Air Handling Unit (AHU) has been available for many years and classical control methods are used to control the parameters of the Air Handling Units (AHU ‘s). …”
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The advancement of NHC catalyzed C-C bond formation : application towards chromone synthesis, C-Glycosylation and total synthesis by Seenuvasan Vedachalam

“…Organocatalysis mediated by nucleophilic molecules offer promising strategies in this aspect and have seized much attention over the last few years. Their advantages include not only atom economy and operational simplicity, but also the possibility for the development of nontraditional retro-synthetic bond disconnections. …”
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Demand response of lighting and air conditioner in AC/DC micro grid by Zhong, Yang.

“…To improve the stability and security of the grid avoiding large area blackout, and to avoid building more and more new plants to meet the peak load, utilities eager to develop new methods. In recent years, 'Smart Grid' becomes popular to researchers for its good performance and great potential in power system control. …”
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Deep learning with application to hashing by Zhang, Boshen

“…Deep Learning and Learning to Hash are two important research areas in machine learning, which have rapid improvements in recent years. What I mainly researched on is an inter-discipline field: deep learning for cross view hashing. …”
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Built to last : the global refugee regime by Ting, Yuanyi

“…This article argues that despite over 60 years of cooperation, the regime does not present characteristics of a working regime, and shows signs of weakening.…”
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Towards numerical temporal-frequency system modelling of associations between ballistocardiogram and electrocardiogram by Aravind, Srinivasan

“…Due to technological advancements in the recent years BCG has regained its interest and has become an active field of research. …”
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Spatio temporal traffic pediction for a large-scale road network by Krishnamoorthy, Nardana

“…The potentials of deep neural networks for real-life applications of various domains can be viewed in the recent years. Traffic speed prediction models that learn and adapt to the spatio-temporal correlations of the traffic network are always effective. …”
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A Review of 3D Printable Construction Materials and Applications by Tan, Ming Jen, Lu, Bing, Qian, Shun Zhi

“…The developments of 3D printing in building and construction have seen great potentials during the recent years. Although this technology is still considered at its initial stage, its potential benefits such as quicker construction, low labor costs and less waste produced make it one of the most promising building technology in the future. …”
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Density-based clustering of data streams at multiple resolutions by Wan, Li

“…In data stream clustering, it is desirable to have algorithms that are able to detect clusters of arbitrary shapes, changing clusters that evolve over time, and clusters with noise. In recent years, stream data clustering algorithms are based on an online-offline approach: The online component captures synopsis information from the data stream (thus, overcoming the real-time and memory constraint issues) and the offline component generates clusters using the stored synopsis. …”
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