Accurate prediction and further dissection of neonicotinoid elimination in the water treatment by CTS@AgBC using multihead attention-based convolutional neural network combined with the time-dependent Cox regression model

Zhang, Chao; Li, Xiaoyong; Li, Feng; Li, Gugong; Niu, Guoqiang; Chen, Hongyu; Ying, Guang‐Guo; Huang, Mingzhi

doi:10.1016/j.jhazmat.2021.127029

Cited by 19 publications

(5 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the present study, blood purification was used to promote the excretion of absorbed poisons, but there were no significant differences in different treatment regimens, which is consistent with previous studies ( 18 – 21 ). Only one study indicated that early, repeated hemoperfusion combined with hemodialysis significantly improves blood-gas indices and liver and kidney function in patients with PQ poisoning, also extending their short-term survival.…”

Section: Discussionsupporting

confidence: 90%

Prognostic value of plasma diquat concentration in patients with acute oral diquat poisoning: a retrospective study

Meng,

Sun,

Dong

et al. 2024

Front. Public Health

View full text Add to dashboard Cite

ObjectivesDiquat poisoning is an important public health and social security agency. This study aimed to develop a prognostic model and evaluate the prognostic value of plasma diquat concentration in patients with acute oral diquat poisoning, focusing on how its impact changes over time after poisoning.MethodsThis was a retrospective cohort study using electronic healthcare reports from the Second Hospital of Hebei Medical University. The study sample included 80 patients with acute oral Diquat poisoning who were admitted to the hospital between January 2019 and May 2022. Time-to-event analyses were performed to assess the risk of all-cause mortality (30 days and 90 days), controlling for demographics, comorbidities, vital signs, and other laboratory measurements. The prognostic value of plasma DQ concentration on admission was assessed by computing the area under a time-dependent receiver operating characteristic curve (ROC).ResultsAmong the 80 patients, 29 (36.25%) patients died, and 51 (63.75%) patients survived in the hospital. Non-survivors had a median survival time (IQR) of 1.3(1.0) days and the longest survival time of 4.5 days after DQ poisoning. Compared with non-survivors, survivors had significantly lower amounts of ingestion, plasma DQ concentration on admission, lungs injury within 24 h after admission, liver injury within 24 h after admission, kidney injury within 24 h after admission, and CNS injury within 36 h after admission, higher APACHE II score and PSS within 24 h after admission (all p < 0.05). Plasma Diquat concentration at admission (HR = Exp (0.032–0.059 × ln (t))) and PSS within 24 h after admission (HR: 4.470, 95%CI: 1.604 ~ 12.452, p = 0.004) were independent prognostic factors in the time-dependent Cox regression model.ConclusionPlasma DQ concentration at admission and PSS within 24 h after admission are independent prognostic factors for the in-hospital case fatality rate in patients with acute oral DQ poisoning. The prognostic value of plasma DQ concentration decreased with time.

show abstract

Section: Discussionsupporting

confidence: 90%

Prognostic value of plasma diquat concentration in patients with acute oral diquat poisoning: a retrospective study

Meng,

Sun,

Dong

et al. 2024

Front. Public Health

View full text Add to dashboard Cite

show abstract

“…32−37 A series of emerging recalcitrant heterocyclic contaminants, e.g., nitenpyram (NTP), thiamethoxam (THM), imidacloprid (IMI), and thiacloprid (THA), have Nheterocyclic frameworks, such as pyridine, thiazole, and imidazole. 38,39 Increasing evidence suggests that short exposure to NTP could induce colonic mucosal damage, nonalcoholic steatohepatitis, chronic brain toxicity response, and negative effects on reproduction, development, and metabolic gene expression. 40−43 Exposure to THM and its degradation intermediates leads to hepatotoxicity and hepatocarcinogenicity.…”

Section: Introductionmentioning

confidence: 99%

“…Heterocyclic contaminants, especially with the incorporation of N atoms, pose a significant threat to humans and other organisms due to their strong teratogenicity, mutagenicity, and carcinogenicity. − A series of emerging recalcitrant heterocyclic contaminants, e.g., nitenpyram (NTP), thiamethoxam (THM), imidacloprid (IMI), and thiacloprid (THA), have N -heterocyclic frameworks, such as pyridine, thiazole, and imidazole. , Increasing evidence suggests that short exposure to NTP could induce colonic mucosal damage, nonalcoholic steatohepatitis, chronic brain toxicity response, and negative effects on reproduction, development, and metabolic gene expression. − Exposure to THM and its degradation intermediates leads to hepatotoxicity and hepatocarcinogenicity . Long-term IMI intake increases reproductive organ damage with increasing concentration due to the oxidative toxicity of DNA .…”

Section: Introductionmentioning

confidence: 99%

Nitrogen-Doped Graphdiyne Nanotubes for Metal-Free Activation of Peroxymonosulfate and Enhanced Degradation of Recalcitrant Heterocyclic Contaminants

Zhang

Wan

et al. 2023

ACS EST Eng.

Self Cite

View full text Add to dashboard Cite

Pollution removal via peroxymonosulfate (PMS)-mediated advanced oxidation processes provides an effective approach for water remediation. Although numerous carbon allotropes have been applied in PMS activation, the application of graphdiyne-based catalysts has been practically unexplored in this process despite their excellent electronic properties. In this study, the first instance of exploiting N-doped graphdiyne nanotubes (NGNTs) for metal-free PMS activation is presented to remove recalcitrant heterocyclic contaminants in aqueous environments. This mechanistic study demonstrates that the NGNT−PMS system decomposes heterocyclic contaminants via electron-transfermediated nonradical oxidation, where metastable NGNT−PMS* complexes were the primary oxidants. The apparent reaction rate constant for the NGNT−PMS system is 2.4 and 3.1 times higher than those for the counterpart systems by N-doped carbon nanotubes (NCNTs) and graphene oxide (NGO) systems, respectively. The NGNT exhibits excellent N-doping potential, demonstrated by a 7-fold increase in atomic nitrogen compared to NCNT in an identical Ndoping procedure. The possible N-doping sites in NGNT were determined as mainly sp-N-1, sp-N-2, pyridinic-N, amino-N, and graphitic-N atoms by the N K-edge X-ray absorption near-edge structure spectra and X-ray photoelectron spectroscopy. Theoretical calculations demonstrate the relatively obvious electron transfer between PMS and different N-sites in NGNT, indicating the possible formation of NGNT−PMS* complexes. Additionally, the NGNT−PMS system plays an important role in the cleavage of pyridine heterocycles and C−Cl bonds as demonstrated by the destruction of nitenpyram. This study provides mechanistic insights into the roles of NGNT in the metal-free activation of PMS for the remediation of recalcitrant heterocyclic contaminants.

show abstract

“…Wang et al pointed out harnessing deep neural networks to solve inverse problems in quantum dynamics: machine-learned predictions of time-dependent optimal control fields [25]. Zhang et al discussed the problem of accurate prediction and further dissection of neonicotinoid elimination in the water treatment, considering the neural network combined with the time-dependent Cox regression model [26].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning and Statistical Methods for Studying Voids and Photothermal Effects of a Semiconductor Rotational Medium with Thermal Relaxation Time

Jawa

Elhag

Aloafi

et al. 2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Machine learning is the process of creating algorithms that extract useful facts from data automatically. The goal of this paper is to use an artificial neural network and a cubic spline model to predict various physical quantities displacement components in a thermoplastic solid, such as elastic waves, vector form, volume fraction field, thermal waves, stress components, and carrier density concentration (plasma waves). The mean absolute scaled error (MASE), the mean absolute percentage error (MAPE), and the symmetric mean absolute percentage errors (SMAPE) are used to compare the accuracy of two models. The true displacements are given their maximum expected values. These factors have also been described using various descriptive statistics and diagrams. Statistical significance was found in the examination of the correlation between the variables, and a comparison was conducted between the findings and prior results acquired by others. The findings show that voids, rotation, optical temperature, and thermal relaxation all have a significant impact on the phenomena, and they are in line with earlier physical findings. Furthermore, it is demonstrated that certain physical variables describing such systems may display this property, allowing for the development of an analytical criterion for the advent of dynamical chaos.

show abstract

Accurate prediction and further dissection of neonicotinoid elimination in the water treatment by CTS@AgBC using multihead attention-based convolutional neural network combined with the time-dependent Cox regression model

Cited by 19 publications

References 53 publications

Prognostic value of plasma diquat concentration in patients with acute oral diquat poisoning: a retrospective study

Prognostic value of plasma diquat concentration in patients with acute oral diquat poisoning: a retrospective study

Nitrogen-Doped Graphdiyne Nanotubes for Metal-Free Activation of Peroxymonosulfate and Enhanced Degradation of Recalcitrant Heterocyclic Contaminants

Machine Learning and Statistical Methods for Studying Voids and Photothermal Effects of a Semiconductor Rotational Medium with Thermal Relaxation Time

Contact Info

Product

Resources

About