The aging parameters of each group of batteries. by Peijian Jin (22265437)

“…We observed a pattern in which the time intervals between the waveforms decreased rapidly at first and then stabilized. …”

Minimal data set. by Peijian Jin (22265437)

“…We observed a pattern in which the time intervals between the waveforms decreased rapidly at first and then stabilized. …”

Experimental lithium-ion batteries. by Peijian Jin (22265437)

“…We observed a pattern in which the time intervals between the waveforms decreased rapidly at first and then stabilized. …”

Schematic diagram of two time intervals. by Peijian Jin (22265437)

“…We observed a pattern in which the time intervals between the waveforms decreased rapidly at first and then stabilized. …”

The four phases of AcMNPV infection cycle and the design of dual reporter baculovirus (DRBac). by Enrique Paz-Cortés (20988196)

Subjects:

Heat shock induced alterations in the production of viral progeny and baculovirus genomes. by Enrique Paz-Cortés (20988196)

Subjects:

Dynamics of EGFP and mRFP fluorescence in infected cells under different heat shock conditions. by Enrique Paz-Cortés (20988196)

Subjects:

Constitutive <i>cyc</i> downregulation in <i>Pdf</i>+ cells leads to a reduction in PER levels and arrhythmicity under free-running conditions. by Grace Biondi (19924067)

Construction strategy and verification of strains Ace1/Fbx23-TAP, Δ<i>fbx23</i>, and Re<i>fbx23</i>. by Zhongjiao Liu (11877464)

Subjects:

Structure–Activity Relationships of Azaquinazolinone Derivatives as ¹⁸F‑Labeled PET Probes Targeting Ghrelin Receptors by Hiroyuki Watanabe (312793)

“…Among them, AQ-12 showed the highest binding affinity for GHSR. In a biodistribution study using normal mice, [¹⁸F]AQ-12 displayed high uptake in the pancreas, which is one of the GHSR-expressing organs, and its radioactivity was significantly decreased by coinjection with unlabeled AQ-12. …”

Achieving Improved Ion Swarm Shaping Based on Ion Leakage Control in Ion Mobility Spectrometry by Jiyao Wang (2121157)

“…Simulations and experiments demonstrate that precise voltage adjustments effectively minimize ion leakage, enhancing resolving power by 50% (reaching a maximum of 106), while the corresponding decrease in signal intensity follows the <i>I</i>_p–<i>R</i>_p linear relationship. …”

Thioflavin-T (ThT) fluorescence analysis of amyloid fibril formation in wild-type and p.R163C mutant αB-crystallin under thermochemical stress. by Aref Baharvand (21713886)

An exemplary case one year after open wedge high tibial osteotomy (OWHTO) for right knee osteoarthritis. by Yusuke Fuchioka (22806178)

Mean uncertainty of <i>boro</i> rice yields estimated by random forest model from 2002–2021. by Varun Tiwari (9258130)

Obese <i>HuMgat2</i> mice show defects in cytochrome P450 protein levels. by J. Jose Corbalan (22439198)

<i>C. sinensis</i> inhibits the Nrf2, SLC7A11, and GPX4 activity of hepatocyte through the secretion of ESPs, promoting GSH depletion, iron overload, leading to lipid ROS accumulat... by Haoyang Zhang (1706815)

<i>Gpdh1; Ldh</i> double mutants display increased <i>upd3</i> expression. by Madhulika Rai (4352803)

Tetraspanins variably affect the virulence of <i>E</i>. <i>histolytica</i>. by Han Jiang (195350)

Establishment of a diabetic rat model. by Lan Zeng (638254)

“…In addition, RP11-502I4.3 expression was decreased in the retinas of diabetic rats compared with non-diabetic rats (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0312791#pone.0312791.g003" target="_blank">Fig 3B</a>), and it was predominantly localised in the cytoplasm (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0312791#pone.0312791.g003" target="_blank">Fig 3C</a>).…”

Testing set error. by Xiangjuan Liu (618000)

“…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …”