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Article
Mechanism and Kinetics Study on Sulfuric Acid Leaching of Titanium from NaOH Roasting Ilmenite
Based on the difficulty of extracting titanium from ilmenite, this study modified ilmenite by alkali roasting to improve the leaching rate of titanium. The leaching behaviour and kinetics of titanium in pretre...
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Article
Research on Aluminum Electrolysis from 1970 to 2023: A Bibliometric Analysis
The purpose of this work is to analyze the development direction and prospects in the field of aluminum electrolysis and to provide reference information for related research and industry personnel. The scient...
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Article
Open AccessTwo doses of fosaprepitant included prophylactic treatment for the three-day cisplatin-based chemotherapy induced nausea and vomiting
Neurokinin 1 receptor antagonists included prophylactic treatment was recommended for patients who receive one-day cisplatin chemotherapy. It is unclear whether the prolonged administration of fosaprepitant is...
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Article
Application of Repetitive Sequences in Fish Cell Depletion as a Target for the CRISPR/Cas9 System
Specific cell depletion is a common means to study the physiological function of cell lineages and tissue regeneration. However, 100% depletion is difficult to achieve with existing cell depletion strategies. ...
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Article
Transcriptome Analysis of Different Aquaculture Substrates on the Immune Response of Babylonia areolata
To assess the impact of different substrates in a recirculating water system on the immune response and antioxidant capacity of Babylonia areolata, we conducted a comparative analysis of the transcriptomes and an...
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Article
Theoretical and experimental studies on the electrodeposition of magnesium in 1,3-dimethyl-2-imidazolidinone organic solvent at room temperature
1,3-Dimethyl-2-imidazolinone (DMI) is low toxicity and has high boiling point, making it an excellent solvent, widely used in the fields of battery and electrodeposition of metals and its alloys. In this study...
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Article
TPBFS: two populations based feature selection method for medical data
The high-dimensional nature of medical data frequently results in suboptimal performance of machine learning models. Applying feature selection before classification is necessary to improve the performance of ...
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Article
Design of a dual Ir-Eu tag for fluorescent visualization and ICP-MS quantification of SIRPα and its host cells
With the expansion of ICP-MS application into the field of bioanalysis, there is an urgent need for novel element tags today. Here, we report the design of a dual-element Ir-Eu tag, opening the door to simulta...
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Article
Isolation and Functional Analysis of Na+/H+ Antiporter Gene (LcNHX1) from Leymus chinensis
Saline-alkali stress has adverse effects on plant growth. Some plant Na+/H+ antiporters were reported to be important in salt tolerance. However, it needs to be better understood that Na+/H+ antiporters are invol...
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Article
Open AccessHigh-voltage pulsed radiofrequency improves ultrastructure of DRG and enhances spinal microglial autophagy to ameliorate neuropathic pain induced by SNI
Neuropathic pain (NeP) is intractable for which many therapies are ineffective. High-voltage pulsed radiofrequency (HVPRF) on dorsal root ganglion (DRG) is considered an effective treatment for NeP. The aim of...
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Article
Open AccessColonial Microcystis’ biomass affects its shift to diatom aggregates under aeration mixing
The effect of hydrodynamic mixing on controlling Microcystis blooms or changing the algal community to diatom dominance has been widely studied; however, the effects of colonial Microcystis biomass on the develop...
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Article
Open AccessHIFINet: Examination-Diagnosis-Treatment Hierarchical Feedback Interaction Network for Medication Recommendation
Medication combination recommendation is critical in clinic, since accurately predicting therapeutic drug can provide essential decision support to physicians. However, current approaches do not consider the m...
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Article
A Positivity-Preserving and Robust Fast Solver for Time-Fractional Convection–Diffusion Problems
This paper presents a fast solver for time-fractional two-dimensional convection-diffusion problems that maintains non-negativity of numerical solutions. To this end, two new techniques are developed. (i) A th...
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Article
Detecting False Data Injection Attacks (FDIAs) in Power Systems Based on Entropy Criteria
Load redistribution (LR) attacks in power systems can cause significant damage to the power grids, which leads to blackouts and other disastrous consequences. The paper aims to detect LR attacks using entropy-...
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Article
Open AccessEnergy flow analysis of grass carp pond system based on Ecopath model
Grass carp (Ctenopharyngodon idellus) is the most productive freshwater fish in China, but its traditional aquaculture model still has problems, such as poor water quality and frequent diseases. We have taken mon...
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Article
Open AccessNAD+ dependent UPRmt activation underlies intestinal aging caused by mitochondrial DNA mutations
Aging in mammals is accompanied by an imbalance of intestinal homeostasis and accumulation of mitochondrial DNA (mtDNA) mutations. However, little is known about how accumulated mtDNA mutations modulate intest...
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Article
Open AccessPharmaceutical targeting of OTUB2 sensitizes tumors to cytotoxic T cells via degradation of PD-L1
PD-1 is a co-inhibitory receptor expressed by CD8+ T cells which limits their cytotoxicity. PD-L1 expression on cancer cells contributes to immune evasion by cancers, thus, understanding the mechanisms that regul...
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Chapter and Conference Paper
Study on Fast Online Verification Method for Current Transformer Transformation Ratio
The current transformer in the distribution network is the hub equipment for the transmission of current signals between the primary and secondary circuits. In order to effectively carry out anti-theft analysi...
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Chapter and Conference Paper
A Weakly Supervised Deep Learning Model for Alzheimer’s Disease Prognosis Using MRI and Incomplete Labels
Predicting cognitive scores using magnetic resonance imaging (MRI) can aid in the early recognition of Alzheimer’s disease (AD) and provide insights into future disease progression. Existing methods typically ...
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Article
Local image segmentation model via Hellinger distance
Highly accurate active contour models are widely used in various image segmentation methods. In this paper, we propose an image segmentation model based on Hellinger distance for local region intensity fitting...
