WasteBanned: Supporting Zero Waste Fashion Design Through Linked Edits by Zhang, Ruowang, Mueller, Stefanie, Bernstein, Gilbert, Schulz, Adriana, Leake, Mackenzie

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Team learning : the link between caring working relationships, learning behaviors and knowledge. by Phua, Mary Bee Ling., Wong, Yvonne Wanling., Tan, Jacqueline Si Ying.

“…This study explores the link between caring working relationships, learning behaviors and knowledge. …”
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Apolipoprotein CIII links islet insulin resistance to β-cell failure in diabetes by Leibiger, Ingo B., Leibiger, Barbara, Moede, Tilo, Paschen, Meike, Dicker, Andrea, Abdulreda, Midhat H., Åvall, Karin, Ali, Yusuf, Daré, Elisabetta, Köhler, Martin, Ilegems, Erwin, Graham, Mark, Crooke, Rosanne M., Tay, Vanessa Shi Yun, Refai, Essam, Nilsson, Stefan K., Jacob, Stefan, Selander, Lars, Berggren, Per-Olof, Juntti-Berggren, Lisa

“…However, the molecular mechanisms linking these two defects remain unknown. Elevated levels of apolipoprotein CIII (apoCIII) are associated not only with insulin resistance but also with cardiovascular disorders and inflammation. …”
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Representation learning using deep random vector functional link networks for clustering by Hu, Minghui, Suganthan, Ponnuthurai Nagaratnam

Subjects: “…Random Vector Functional Link…”
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Extended features based random vector functional link network for classification problem by Malik, Ashwani Kumar, Ganaie, M. A., Tanveer, M., Suganthan, Ponnuthurai Nagaratnam

Subjects: “…Deep Random Vector Functional Link…”
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A study of dimensionality reduction as subspace data embedding linked by multidimensional scaling. by Wang, Wanqiu.

“…Some conven- tional category one techniques, such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), are developed from variance analysis, but they also can be interpreted as embedding techniques through links to the metric Multidimensional Scaling (MDS).…”
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Super lubrication bottlebrush polymer particles synthesis using core cross-linking by Garnadi, Jovanca Kartika

“…In this project, we synthesized cross-linked particles of bottlebrush polymer via organocatalyzed living radical polymerization (OLRP). …”
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Modeling of an intelligent pressure sensor using functional link artificial neural networks by Patra, Jagdish Chandra, Van den Bos, Adriaan

“…The proposed functional link ANN (FLANN) is a computationally efficient nonlinear network and is capable of complex nonlinear mapping between its input and output pattern space. …”
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Link me baby one more time: social music discovery on Spotify by Babul, SA, Hristova, D, Lima, A, Lambiotte, R, Beguerisse-Díaz, M

“…Specifically, we use data from Spotify to investigate how a link sent from one user to another results in the receiver engaging with the music of the shared artist. …”

Connecting Local Economic Decline to the Politics of Geographic Discontent: The Missing Link of Perceptions by Green, J, Jennings, W, McKay, L, Stoker, G

“…Using original survey questions in the British Election Study, we theorise five models to explain who is likely to perceive local economic decline, and why. Using linked objective data, we analyse the relationship of perceptions to existing economic indicators, finding correspondence but also substantial and systematic variation driven by partisanship and heuristics, such as declining personal circumstances. …”

How painted backdrops link photographic studios: a case from Cameroon by Nyamndon, V, Zeitlyn, D

Exploring the non-linear relationship and mechanisms linking green finance to tourism development by Cong, Shufeng, Chin, Lee, Xu, Lei

“…The results also indicated that fixed asset investment is a promoting mechanism, while city loans, government expenditures, and tertiary industry serve as inhibiting mechanisms linking green finance to tourism. Overall, cities with lower levels of tourism development may need greater short-term financial support to facilitate their progress.…”

Linking Online Reviews, Personal And Environmental Factors And Diners’ Intention To Eat Out by Mohammad Shahid, Nur Nadirah

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Improved flux pinning properties of Mg exceed MgB2 ceramics with B4C and Dy2O3 additions by Pham, Ha H., Le, Tien, Pham, An T., Kang, Won Nam, Nam, Nguyen H., Anh, Do T.K., Anh, Nguyen Hoang, Peh, Hoo Keong, Chen, Soo Kien, Man, Nguyen K., Hong, Vuong Thi Anh, Lee, Hanoh, Park, Tuson, Cuong, Le Viet, Hai, Phan, Huy, Nguyen Quang, Tran, Duc H.

“…According to collective pinning theory, δl pinning was identified as the dominant pinning type in the fabricated samples. …”
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Online dynamic ensemble deep random vector functional link neural network for forecasting by Gao, Ruobin, Li, Ruilin, Hu, Minghui, Suganthan, P. N., Yuen, Kum Fai

Subjects: “…Random vector functional link network…”
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Benchmarking feed-forward randomized neural networks for vessel trajectory prediction by Cheng, Ruke, Liang, Maohan, Li, Huanhuan, Yuen, Kum Fai

Subjects: “…Random vector functional link…”
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Measuring ion recombination factor for a pencil beam scanning synchrotron-based proton therapy system by Gan, Jun Ken

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Testing of metallic specimens using "C" scan ultrasonic procedures to locate, size and determine shape of defects by Loke, Zhen Dong

“…“C” scan ultrasonic scan testing has not been widely used in the inspection of materials compared to other ultrasonic testing procedures such as “A” scan even though the “C” scan has a higher productivity as it is automated. …”
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The Effect Of Laser Power And Scanning Speed On The Density Of Selective Laser Melting Fabricated AL-CNT Composites by Du, Zhenglin, Tan, Ming Jen, Guo, Jun Feng, Chua, Chee Kai, Lim, Jun Jie Dalton

“…The influence of laser power and scanning speed on the densification behavior and microhardness were studied. …”
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Effects of data amount and variation in deep learning-based tuberculosis diagnosis in chest X-ray scans by Bhorkar, A, Gonzales, RA

“…Our study aims to enhance diagnostic opportunities by developing a deep-learning model to categorize pulmonary X-ray scans into “normal” and “tuberculosis” classes. Exercising feature extraction, we incorporated VGG-16 (Visual Geometry Group network with 16 layers) architecture to enhance model classification accuracy via transfer learning. …”