Ghost factors in Gauss-sum factorization with transmon qubits by Zaw, Lin Htoo, Tan, Paul Yuanzheng, Nguyen, Long Hoang, Budoyo, Rangga P., Park, Kun Hee, Koh, Zhi Yang, Landra, Alessandro, Hufnagel, Christoph, Yap, Yung Szen, Koh, Teck Seng, Dumke, Rainer

“…A challenge in the Gauss sums factorization scheme is the presence of ghost factors - non-factors that behave similarly to actual factors of an integer - which might lead to the misidentification of non-factors as factors or vice versa, especially in the presence of noise. …”
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Physics informed neural network-based high-frequency modeling of induction motors by Zhao, Zhenyu, Fan, Fei, Sun, Quqin, Jie, Huamin, Shu, Zhou, Wang, Wensong, See, Kye Yak

“…This symmetry enables the proposed model to be applicable for both star- and delta-connected induction motors without having to recalculate the circuit element values when changing the motor connection from star to delta and vice versa. Motor physics knowledge, namely per-phase impedances, are used in the artificial neural network to obtain the values of the circuit elements. …”
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Solder joint testing and failure analysis by Kang, Eng Tat.

“…It was suggested that the fracture could have propagate from the ductile bulk solder to the brittle IMC interface or vice versa. Both the solder bonded joint specimens with and without pre-crack were tested at 2 other different strain rates of 0.001/s and 0.1/s. …”
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The investigation of impact induced particle resuspension by Kwa, Wilson Wei Sheng

“…For particle sizes, it was observed that larger particles have higher resuspension and deposition rates and vice versa. Due to the potential effects of harmful aerosols, it is essential to enhance the understanding of particle behaviour. …”
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Thermodynamics of complexity and pattern manipulation by Vedral, Vlatko, Gu, Mile, Garner, Andrew J. P., Thompson, Jayne

“…Here, we propose a framework to describe pattern manipulators—devices that convert thermodynamic work to patterns or vice versa—and use them to build a “pattern engine” that facilitates a thermodynamic cycle of pattern creation and consumption. …”
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Stalking in universities: responding effectively as an institution while prioritising the safety of victims by Short, Emma, Barnes, James

“…In 40% of those cases, the person who was accused of stalking and the person making the allegation studied at the same university (Vice, 2019). This chapter introduces and describes the crime of stalking and the migration of many behaviours to online platforms. …”

Investigating the genetics and immunopathogenesis of ankylosing spondylitis by Liu, F

“…<p>Ankylosing spondylitis is an immune-mediated inflammatory arthritis mainly affecting the spine, although the peripheral joints, skin, intestine, and eyes could also be affected. …”

Mechatronics design and real time control of a mobile robot with passive involute shape auxiliary devices by Zhou, Yuan

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Kinematic analysis and optimal design of three-legged reconfigurable parallel manipulators by Anjan Kumar Dash

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Analog smart I/O pads by Tan, Shyue Mei.

“…ESD is an increasingly significant problem in integrated circuit design as increasing pin counts and faster circuit speeds compound the need for more and better reliable ESD protection. …”
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Tribological properties of wax microcapsule modified polymers by Ang, Ping Lon

“…The tribology test uses the Pin-On-Disk wear test method and the default tribometer settings used in this project were set at 2000m sliding distance, 40cm/s linear speed and 3N linear load. …”
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Effect of emulsion temperature on physical properties of palm oil‐based margarine by Miskandar, M. S., Che Man, Y. B., Yusoff, M. S. A., Abdul Rahman, R.

“…The emulsion temperatures studied were 40, 45, and 50°C, with other parameters such as emulsion flow rates, tube cooler temperature, and pin rotor speed kept constant. The SFC developed during processing and storage at 28°C was measured to evaluate the quality of margarine. …”
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Back to the Basics of SARS-CoV-2 Biochemistry: Microvascular Occlusive Glycan Bindings Govern Its Morbidities and Inform Therapeutic Responses by Scheim, David E., Parry, Peter I., Rabbolini, David J., Aldous, Colleen, Yagisawa, Morimasa, Clancy, Robert, Borody, Thomas J., Hoy, Wendy E.

“…Consistent with the biochemistry of coronaviruses as well established over decades, SARS-CoV-2 makes its initial attachment to host cells through the binding of its spike protein (SP) to sialylated glycans (containing the monosaccharide sialic acid) on the cell surface. …”
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NMDA receptor activation enhances inhibitory GABAergic transmission onto hippocampal pyramidal neurons via presynaptic and postsynaptic mechanisms by Xue, Jiu Gang, Masuoka, Takayoshi, Gong, Xian Di, Chen, Ken-Shiung, Yanagawa, Yuchio, Law, Alex Sai Kit, Konishi, Shiro

“…Thus NMDARs at glutamatergic synapses on both CA1 pyramidal neurons and interneurons appear to exert feedback and feedforward inhibition for determining the spike timing of the hippocampal microcircuit.…”
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Banks regulatory reforms in Singapore. by Foo, Cindy Ping Ping., Lee, Shirleen Sok Loon., Ng, Mui Chee.

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Studies of wafer level electromigration test for ULSI by Sum, Heng Keong.

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Design of insulated gate bipolar transistor using novel structure by Zhang, Guowei

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Recognition of human hand gestures and its application to human-robot interaction by Yin, Xiaoming.

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A Novel MIMO antenna integrated with a solar panel and employing AI-equalization for 5G wireless communication networks by Hussein, Humam, Elmunim, Nouf Abd, Atasoy, Ferhat, Virdee, Bal Singh, Elwi, Taha A., Rashid, Nasr, Jayanthi, Renu Karthick Rajaguru, Alibakhshikenari, Mohammad, Limiti, Ernesto

“…We demonstrate that the directivity of this antenna array can be precisely electronically reconfigured using PIN diode switches. Additionally, we show the feasibility of integrating solar panels with the proposed MIMO antenna array. …”
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ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning by Ghafarollahi, Alireza, Buehler, Markus J.

“…Current methodologies for protein design often rely on AI-based models, such as surrogate models that address end-to-end problems by linking protein structure to material properties or vice versa. However, these models frequently focus on specific material objectives or structural properties, limiting their flexibility when incorporating out-of-domain knowledge into the design process or comprehensive data analysis is required. …”
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