Antibacterial activity of green silver nanoparticles on the in vitro pathogen infected Eucalyptus pellita plant by Sawalha, Hanadi, Ahmad, Siti Aqlima, Shaharuddin, Noor Azmi, Sanusi, Ruzana, Azzeme, Azzreena Mohamad, Naganthran, Ashwini, De Silva, Catrenar, Abiri, Rambod

“…The focal point of the current research is to use of green synthesised AgNPs as an efficient antibacterial agent that particularly targets in vitro pathogen infections in E. pellita plants. Thus, this study finds that green AgNPs possess potent antibacterial activity and could therefore be developed as a promising antimicrobial agent for the treatment of bacterial infections, including gram-positive and gram-negative bacteria.…”

Optimization of extraction for efficient recovery of kenaf seed protein isolates: evaluation of physicochemical and techno-functional characteristics by Hamim, Nur Aqilah, Saari, Nazamid, Wan Ibadullah, Wan Zunairah, Mohamed, Abdul Manan Dos, Anwar, Farooq, Hasan, Muhamad Yusuf, Abdul Rahim, Mohd Zulkhairi, Abdul Rahman, Muhammad Sharir, Karim, Roselina

“…Background: Kenaf seeds are a rich source of protein; however, finding the best extraction method is crucial to obtaining high-quality protein from these underutilized seeds. …”
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Electromyography signal processing based on time and time-frequency representations for prosthesis application by Mahdavi, Farzaneh Akhavan

“…To reach this goal, different techniques in two domains of study, time and time-frequency, had been utilized to find the optimum features for EMG analysis. Mean Absolute Value (MAV), Root Mean Square (RMS), Zero Crossing (ZC) and Waveform Length (WL) were employed as feature extraction techniques in time domain and Wavelet Transform (WT) was used in time-frequency domain. …”
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The theoretical direct-band-gap optical gain of Germanium nanowires by Xiong, Wen, Wang, Jian-Wei, Fan, Weijun, Song, Zhigang, Tan, Chuan Seng

“…Based on the electronic structures, the density of states of Germanium nanowires are also obtained, and we find that the conduction band density of states mostly come from the electron states at the L-valley because of the eight equivalent degenerate L points in Germanium. …”
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Moho complexity in Southern California revealed by local PmP and teleseismic Ps waves by Li, Tianjue, Yao, Jiayuan, Wu, Shucheng, Xu, Mijian, Tong, Ping

“…However, our Moho model reveals some new features different from the CMM–1.0, such as a deep Moho (∼34 km) beneath the northern end of the central and western Transverse Ranges, consistent with the observation of deep seismicities due to a thick brittle crust there. We also find a gradual transition from the lower crust to the uppermost mantle beneath the western Peninsular Ranges, leading to the rareness of pickable PmP waves as well as weak Moho-converted signals there.…”
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MCMC inversion of the transient and steady-state creep flow law parameters of dunite under dry and wet conditions by Masuti, Sagar, Barbot, Sylvain

“…We determine the flow law parameters for dunites using a Markov chain Monte Carlo method. We find the activation energy 430 ± 20 and 250 ± 10 kJ/mol for dry and wet conditions, respectively, and the stress exponent 2.0 ± 0.1 for both the dry and wet cases for transient creep, consistently lower than those of steady-state creep, suggesting a separate physical mechanism. …”
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Quantum spin Hall effect and topological phase transition in InNxBiySb1−x−y/InSb quantum wells by Song, Zhigang, Bose, Sumanta, Fan, Weijun, Zhang, Dao Hua, Zhang, Yan Yang, Li, Shu Shen

“…Recently, the quest for new materials exhibiting non-trivial topological state of matter has been of great research interest, as TIs find applications in new electronics and spintronics and quantum-computing devices. …”
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Surface engineering to manipulate solar energy for thermal management by Fei, Jipeng

“…The main contribution and finding of this work are an effective enthalpy reduction method through applying an external field that could be universally applied to different solar steam generators. …”
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The 17 Essential Qualities of a Team Player : Becoming the Kind of Person Every Team Wants / by Maxwell, John C., 1947-, author 272745

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A benchtop induction-based AC magnetometer for a fast characterization of magnetic nanoparticles by Mohd Mawardi, Saari, Mohd Herwan, Sulaiman, Hamzah, Ahmad, Nurul Akmal, Che Lah, Sakai, Kenji, Kiwa, Toshihiko, Tsukada, Keiji

“…In the pickup coil design, the number of turns and coil section separation are varied from 200 to 400 turns, and 1 to 4 sections, respectively. We find that the usable frequency range is greatly affected by the pickup coil's inductance due to the self-resonance phenomena compared to their parasitic capacitance. …”
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GWTC-2.1: Deep extended catalog of compact binary coalescences observed by LIGO and Virgo during the first half of the third observing run

“…We also expand the population of binaries with significantly asymmetric mass ratios reported in GWTC-2 by an additional two events (the mass ratio is less than 0.65 and 0.44 at 90% probability for GW190403_051519 and GW190917_114630 respectively), and find that two of the eight new events have effective inspiral spins χ eff > 0 (at 90% credibility), while no binary is consistent with χ eff < 0 at the same significance. …”
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Advancing healthcare with artificial intelligence: diagnostic accuracy of machine learning algorithm in diagnosis of diabetic retinopathy in the Brazilian population by dos Reis, Mateus A., Künas, Cristiano A., da Silva Araújo, Thiago, Schneiders, Josiane, de Azevedo, Pietro B., Nakayama, Luis F., Rados, Dimitris R. V., Umpierre, Roberto N., Berwanger, Otávio, Lavinsky, Daniel, Malerbi, Fernando K., Navaux, Philippe O. A., Schaan, Beatriz D.

“…Conclusions A large database showed that this deep learning algorithm was accurate in detecting referable DR. This finding aids to universal healthcare systems like Brazil, optimizing screening processes and can serve as a tool for improving DR screening, making it more agile and expanding care access.…”
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Generative pretrained autoregressive transformer graph neural network applied to the analysis and discovery of novel proteins by Buehler, Markus J

“…The model is formulated as a general framework, completely prompt-based, and can be adapted for a variety of downstream tasks. We find that adding additional tasks yields emergent synergies that the model exploits in improving overall performance, beyond what would be possible by training a model on each dataset alone. …”
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Beyond Color: Lattice Gauge Theory for Strongly-Coupled Physics by Oare, Patrick R.

“…Despite the focus on QCD, lattice methods find significant utility in studying other strongly-coupled gauge theories related to and unrelated to QCD. …”
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Topology optimization of support structure for selective laser melting process by Wu, Lingyun

“…Modelling is presented for simulation of the support structure for SLM, based on structural topology optimization. This is performed to find the best distribution of structure materials with the objectives for minimizing compliance, and subject to certain volume fraction constraint. 2) Optimization of support structure subject to heat flux load, based on thermal topology optimization methodology. …”
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Speeding up deep neural network training with decoupled and analytic learning by Zhuang, Huiping

“…The first challenge lies in the difficulty of finding analytical solutions for multilayer networks. …”
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Structure-activity relationships of photo-activated soft tissue Adhesive by Wicaksono, Gautama

“…Several strategies of optimizing the usage of diazirine-based adhesive is performed: (1) blending in low-viscosity liquid polymer PCLT to form a solvent-free adhesive, (2) investigation of four different aryl-diazirine precursors to find the optimal carbene-diazoalkane ratio, and (3) optimization of optical properties, i.e. light wavelength, power, and sample thickness and distance. …”
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Data-driven approach to spatiotemporal dynamic risk assessment of urban flooding based on shared socio-economic pathways by Wang, Mo, Chen, Furong, Zhang, Dongqing, Chen, Zijing, Su, Jin, Zhou, Shiqi, Li, Jianjun, Chen, Jintang, Li, Jiaying, Tan, Soon Keat

“…Under SSP126 scenario, nearly no change was predicted in the area with high flooding risk, with only increase of 1%, future urbanization hotspots associated with serious flooding risks will likely to be found on the fringe of the GBA's construction areas, in line with the extent of construction land expansion. The finding of this study will shed a comprehensive insight into the identification of spatial and temporal distribution of urban flooding vulnerability to facilitate the exploration of flood mitigation measures associated with dynamic changes in urban land use.…”
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Noise matters in image restoration: from synthetic degradation to real-world challenges by Guo, Lanqing

“…Image restoration (IR) plays a crucial role in recovering high-quality image content from degraded observations, finding applications in surveillance, computational photography, and medical imaging. …”
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Reinforcement learning for robot assembly by Vuong Quoc Nghia

“…Reinforcement Learning endows a robot with the ability to find optimal behavior autonomously by interacting with its surrounding environment. …”
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