Imaging the wakes of jets with energy-energy-energy correlators by Bossi, Hannah, Kudinoor, Arjun S., Moult, Ian, Pablos, Daniel, Rai, Ananya, Rajagopal, Krishna

“…We find that hadrons originating from wakes are the dominant contribution to the three-point correlator in the kinematic regime in which the three points are well-separated in angle, forming a roughly equilateral triangle. …”
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A reformulation of additive models by Wozniakowski, Alex

“…Yet, the traditional methodology neglects the means to explicitly incorporate prior knowledge into the fit of an additive model, which is of great practical importance in regression tasks, especially in the low training example regime, where entirely data-driven learning is not always feasible. …”
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Electrical characterization of bias temperature instability in MOSFETs with the ultrathin SiON and la-doped HfSiO gate dielectrics by Du, Guoan.

“…Under certain stress voltage and temperature, the number of E'δ centers is saturated because the reaction of pre-existing oxygen vacancies at shallow regime reaches its dynamic balance. On the other hand, lengthening of the stress time allows the generation of deeper hole trap states arising greater structural relaxation through increased interaction with lattice phonons. …”
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Chiral spin textures in a frustrated kondo lattice model by Munir Shahzad

“…We investigate Shastry-Sutherland Kondo lattice model (SS-KLM) extensively in different parameter regimes for the ground state phases with unique topological properties using a suite of numerical methods. …”
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Modeling, optimization and thermal characterization of micropillar evaporator based high performance silicon vapor chamber by Wei, Mengyao

“…Investigation on wettability performance of micropillar structures was not systematically extended to a high temperature regime. In this thesis, we developed three semi-analytical models in predicting the capillary-limited dryout heat flux of uniform evaporators, biporous evaporators and sealed silicon vapor chambers. …”
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The divergent fates of primitive hydrospheric water on Earth and Mars by Wade, Jon, Dyck, Brendan, Palin, Richard M., Moore, James Daniel Paul, Smye, Andrew J.

“…This would have allowed efficient overplating and burial of early Martian crust in a stagnant-lid tectonic regime, in which the lithosphere comprised a single tectonic plate, with only the warmer, lower crust involved in mantle convection. …”
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Molecular insights into evolution, mutations and receptor-binding specificity of influenza A and B viruses from outpatients and hospitalized patients in Singapore by Ivan, Fransiskus Xaverius, Zhou, Xinrui, Lau, Suk Hiang, Rashid, Shamima, Teo, Jasmine S. M., Lee, Hong Kai, Koay, Evelyn S., Chan, Kwai Peng, Leo, Yee Sin, Chen, Mark I. Cheng, Kwoh, Chee Keong, Chow, Vincent T.

“…Results: The phylogenetic trees of the 8 gene segments revealed that the outpatient and inpatient strains overlapped with representative global and vaccine strains. …”
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Deep neural network technique for automated detection of ADHD and CD using ECG signal by Loh, Hui Wen, Ooi, Chui Ping, Oh, Shu Lih, Barua, Prabal Datta, Tan, Yi Ren, Molinari, Filippo, March, Sonja, Acharya, U. Rajendra, Fung, Daniel Shuen Sheng

“…Methods: The dataset used in this study consist of ECG data collected from 45 ADHD, 62 ADHD+CD, and 16 CD patients at the Child Guidance Clinic in Singapore. The ECG data were segmented into 2 s epochs and directly used to train our 1-dimensional (1D) convolutional neural network (CNN) model. …”
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Codesign of quantum error-correcting codes and modular chiplets in the presence of defects by Lin, Sophia Fuhui, Viszlai, Joshua, Smith, Kaitlin N., Ravi, Gokul Subramanian, Yuan, Charles, Chong, Frederic T., Brown, Benjamin J.

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Prediction of stable perovskite quantum dots (QDs) using machine learning (ML) algorithms by Cheong, Ivan

“…However, they have not been widely studied, with applications limited to solar cells and catalytic activity, the full extent of possible applications are yet to be realised. At the nano regime the properties are often different and can be controlled, this is due to quantum confinement and larger surface to volume ratio, which can be adjusted by controlling the size, subsequently able to use for various application. …”
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Theoretical study on forced convection filmwise condensation inside converging channels in the presence of a non-condensable gas by Liu, Pengfei, Ho, Jin Yao, Kandasamy, Ranjith, Wong, Teck Neng

“…When the air mass fraction is high (W=0.4), the enhancement ratio appears to be insensitive to the Reynolds number in the laminar and turbulent regime, respectively. In addition, the enhancement ratio generally increases as the air mass fraction increases.…”
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Active control of wakes and vortex-induced vibration of a circular cylinder at Re = 100 by Wang, Chenglei

“…Four different lock-on regimes are identified, i.e., the primary, secondary, tertiary and subharmonic lock-on. …”
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Bond strength and tension stiffening of fly ash geopolymer concrete by Salem, Hamdi Abdulrahman Saif

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A multi-scale attributes attention model for transport mode identification by Jiang, Guiyuan, Lam, Siew-Kei, He, Peilan, Ou, Changhai, Ai, Dihao

“…The MSAA model relies on Convolutional Neural Network (CNN) to capture the spatial correlation of different trajectory segments, and utilizes attention mechanism to select the most suitable local attributes on the different trajectory scales that can effectively characterize the various transport modes. …”
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Exploring and Exploiting Ribonuclease 1: from Protein Biochemistry to Protein Engineering by Wralstad, Evans Christian

“…RNase 1 and its bovine homologue RNase A exhibit ubiquitous expression across tissues, a catalytic efficiency within the diffusion-limited regime, and minimal substrate sequence requirements. …”
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High cycle fatigue characterisation and modelling of 316L stainless steel processed by laser powder bed fusion by Zhang, Meng

“…In the presence of tensile mean stress, variations in the plastic deformation properties, as demonstrated by the effects of build orientation and post-processing treatments (annealing or hot isostatic pressing), were found to induce cyclic plasticity, which led to strong fatigue-ratcheting interactions in the high cycle fatigue regime. The simultaneous actions of ratcheting and fatigue generate complex nonlinear relationships between the stress amplitude and mean stress parameters, such that the fatigue properties could not be effectively predicted using traditional stress-based models. …”
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Institutions and agricultural transformation: a study of induced innovation in the Philippine rice sector by Montesclaros, Jose Ma. Luis P.

“…Research findings supported the hypotheses that agricultural transformation was impeded by the three factors: 1) an industrialisation-inspired de-facto currency overvaluation regime removed farmers’ potential to capture export markets, the latter serving as a “carrot” for adopting innovation; 2) trade protectionist policies in the rice sector removed import competition as a “stick” for adopting innovation; and 3) industrialisation- and land reform-related capital scarcity among smallholder farmers hindered the dynamics of IIA from taking place. …”
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Introduction - Oxford Energy Forum – Issue, 98

“…The problem is that lower oil revenues also affect industry, forcing operators to review their investment portfolios to focus on the best regimes and geological prospects.</p> <p>The region’s recent positive developments are taking place against a background where a large number of countries in the region (including Argentina, Venezuela, Bolivia, Ecuador, French Guyana, and Suriname) have fallen out of favour with oil and gas investors, in some cases for a number of years. …”

Human detection and tracking in surveillance videos by Wang, Bing

“…The thesis aims to improve the state-of-the-art performance in human detection and tracking by studying the human detectors, extended tracking of track segments (tracklets) generated from short term tracking of detection responses. …”
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Managing oil palm plantations more sustainably : large-scale experiments within the Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) Programme by Luke, Sarah H., Advento, Andreas Dwi, Aryawan, Anak Agung Ketut, Adhy, Dwi Nugroho, Ashton-Butt, Adham, Barclay, Holly, Dewi, Jassica Prajna, Drewer, Julia, Dumbrell, Alex J., Edi, Eycott, Amy E., Harianja, Martina F., Hinsch, Julie K., Hood, Amelia S. C., Kurniawan, Candra, Kurz, David J., Mann, Darren J., Matthews Nicholass, Kirsty J., Naim, Mohammad, Pashkevich, Michael D., Prescott, Graham W., Ps, Sudharto, Pujianto, Purnomo, Dedi, Purwoko, Rizky Rajabillah, Putra, Syafrisar, Rambe, T. Dzulfikar S., Soeprapto, Spear, Dakota M., Suhardi, Tan, David J. X., Tao, Hsiao-Hang, Tarigan, Ribka Sionita, Wahyuningsih, Resti, Waters, Helen S., Widodo, Rudi Harto, Whendy, Woodham, Christopher R., Caliman, Jean-Pierre, Slade, Eleanor M., Snaddon, Jake L., Foster, William A., Turner, Edgar C.

“…The Programme has established four major components: (1) assessing variability within the plantation under business-as-usual conditions; (2) the BEFTA Understory Vegetation Project, which tests the effects of varying herbicide regimes; (3) the Riparian Ecosystem Restoration in Tropical Agriculture (RERTA) Project, which tests strategies for restoring riparian habitat; and (4) support for additional collaborative projects within the Programme landscape. …”
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