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Leucine-rich glioma-inactivated protein 1 (LGI1) is known to play a key role in autosomal dominant lateral temporal lobe epilepsy (ADLTE). The ADLTE is an inherited disease characterized by focal seizures with distinctive auditory or aphasic symptoms. A large number of mutations on the Lgi1 gene have been reported and are believed to be the genetic cause for ADLTE. We identified a novel missense mutation, c.152AG (p.Asp51Gly), on Lgi1 from a Chinese ADLTE patient who manifests locomotor imbalance and white matter reduction. However, it remains unknown how mutant LGI1 causes white matter abnormalities at molecular and cellular levels. Here, we generated a knock-in mouse bearing this Lgi1 mutation. We found that Lgi1

DNA double-strand breaks (DSBs) caused by platinum drugs are dangerous lesions that kill cancer cells in chemotherapy. Repair of DSB by homologous recombination (HR) and nonhomologous end joining (NHEJ) is frequently associated with platinum resistance in ovarian cancer. While the role of the HR pathway and HR-targeting strategy in platinum resistance is well studied, dissecting and targeting NHEJ machinery to overcome platinum resistance in ovarian cancer remain largely unexplored. Here, through an NHEJ pathway-focused gene RNAi screen, we found that the knockdown of XRCC4 significantly sensitized cisplatin treatment in the platinum-resistant ovarian cancer cell lines. Moreover, upregulation of XRCC4 is observed in a panel of platinum-resistant cell lines relative to the parental cell lines, as well as in ovarian cancer patients with poor progression-free survival. Mechanistically, the increased sensitivity to cisplatin upon XRCC4 knockdown was caused by accumulated DNA damage. In cisplatin-resistant ovarian cancer, the JNK-cJUN complex, activated by cisplatin, translocated into the nucleus and promoted the transcription of XRCC4 to confer cisplatin resistance. Knockdown of XRCC4 or treatment of the JNK inhibitor led to the attenuation of cisplatin-resistant tumor growth in the xenograft mouse models. These data suggest targeting XRCC4 is a potential strategy for ovarian cisplatin resistance in ovarian cancer.

Decabromodiphenyl ethane (DBDPE), as one of the most widely used new brominated flame retardants (NBFRs), can pose a potential threat to human health and the environment. An integrated transcriptome and proteome was performed for investigating the toxicological molecular mechanisms of Pleurotus ostreatus (P. ostreatus) during the biodegradation of DBDPE at the concentrations of 5 and 20 mg/L. A total of 1193/1018 and 92/126 differentially expressed genes/proteins (DEGs/DEPs) were found, respectively, with DBDPE exposure at 5 and 20 mg/L. These DEGs and DEPs were mainly involved in the cellular process as well as metabolic process. DEPs for oxidation-reduction process and hydrolase activity were up-regulated, and those for membrane, lipid metabolic process and transmembrane transport were down-regulated. The DEGs and DEPs related to some key enzymes were down-regulated, such as NADH dehydrogenase/oxidoreductase, succinate dehydrogenase, cytochrome C1 protein, cytochrome-c oxidase/reductase and ATP synthase, which indicated that DBDPE affected the oxidative phosphorylation as well as tricarboxylic acid (TCA) cycle. Cytochrome P450 enzymes (CYPs) might be involved in DBDPE degradation through hydroxylation and oxidation. Some stress proteins were induced to resist DBDPE toxicity, including major facilitator superfamily (MFS) transporter, superoxide dismutase (SOD), molecular chaperones, heat shock proteins (HSP20, HSP26, HSP42), 60S ribosomal protein and histone H4. The findings help revealing the toxicological molecular mechanisms of DBDPE on P. ostreatus, aiming to improve the removal of DBDPE.

Decabromodiphenyl ethane (DBDPE), one widely used new brominated flame retardant, was of great concern due to its biotoxicity. The toxic evaluation of DBDPE (1-50 mg/L) to white-rot fungus (Pleurotus ostreatus), including oxidative stress, morphology and transcriptomics was conducted aiming at improving its biodegradation. Fungal growth and ATPase activity were obviously inhibited by DBDPE at ≥ 10 mg/L with the exposure from 48 h to 96 h. DBDPE could induce oxidative stress to P. ostreatus. The activity of SOD (superoxide dismutase), CAT (catalase) and GSH (glutathione) were all promoted by DBDPE at ≤ 5 mg/L and inhibited at 5 mg/L with 96-h exposure. MDA (malondialdehyde) content rose obviously with DBDPE exposure (10-50 mg/L). The mycelium was wizened under 20 mg/L DBDPE exposure according to SEM observation. Transcriptomics analysis suggested that DBDPE could change many functional genes expression of P. ostreatus. GO analysis indicated DBDPE could affect biological process and cellular component by inhibiting electron transport, mitochondrial ATP synthesis, oxidoreductase activity as well as transporter activity. KEGG enrichment pathways analysis indicated DBDPE could inhibit oxidative phosphorylation, tricarboxylic acid (TCA) cycle and carbon metabolism by down-regulating the genes related to NADH reductase/dehydrogenase, succinate dehydrogenase, cytochrome-c reductase/oxidase, cytochrome C1 protein and ATP synthase.

The soil–water characteristic curve plays a key role in the study of unsaturated soils, which is the basis of unsaturated soil theory. In the paper, three different test methods, including the pressure plate test, filter paper test, and vapor equilibrium test, are used to measure the soil–water characteristic curves in the full suction range of Hunan clay samples with different initial dry densities, and the Fredlund-xing (FX) model, Van Genuchten (VG) model, and Gardner model were used to fit and analyze the test data. The effect of initial dry density on soil–water characteristic curves in the full suction range is investigated, and the differences in the effect of different models on the fitting of soil–water characteristic curves in the full suction range are analyzed, and the feasibility of obtaining soil–water characteristic curves in the full suction range based on finite experimental data is discussed. The results show that the lower the initial dry density, the greater the volumetric water content of the soil sample in the lower suction range. In the medium suction range, the lower the initial dry density, the lower the volumetric water content of the soil sample. In the high suction range, the initial dry density has little effect on the soil–water characteristic curve. The FX model provides a better fit than the VG and Gardner models. The prediction of soil–water characteristic curves for the full suction range based on finite data depends on the selection of the model and the prediction range, and the FX model’s predictions are the closest to the measured values.

Zika virus (ZIKV) has had detrimental effects on global public health in recent years. This is because the management of the disease has been limited, in part because its pathogenic mechanisms are not yet completely understood. Infectious clones are an important tool that utilize reverse genetics; these can be used to modify the ZIKV genomic RNA at the DNA level. A homologous recombination clone was used to construct pWSK29, a low copy plasmid that contained sequences for a T7 promoter, the whole genome of ZIKV ZKC2 strain, and a hepatitis delta virus ribozyme. High fidelity PCR was then used to amplify the T7 transcription template. The transcript was then transfected into susceptible cells via lipofection to recover the ZIKV ZKC2 strain. Finally, the virulence of rZKC2 was evaluated both in vitro and in vivo. The rZKC2 was successfully obtained and it showed the same virulence as its parent, the ZIKV ZKC2 strain (pZKC2), both in vitro and in vivo. The 3730 (NS2A-D62G) mutation site was identified as being important, since it had significant impacts on rZKC2 recovery. The 4015 (NS2A, A157V) mutation may reduce virus production by increasing the interferon type I response. In this study, one of the earliest strains of ZIKV that was imported into China was used for infectious clone construction and one possible site for antiviral medication development was discovered. The use of homologous recombination clones, of PCR products as templates for T7 transcription, and of lipofection for large RNA transfection could increase the efficiency of infectious clone construction. Our infectious clone provides an effective tool which can be used to explore the life cycle and medical treatment of ZIKV.

For mechanical resonance suppression, the bi-quad filter is a powerful tool and has been widely used in industrial applications. Compared with the notch filter, the bi-quad filter has one more parameter for notch depth design, which is more suitable for servo systems with nature damping coefficients and limited resonant gains. Usually, the bi-quad filter tuning has three steps, including identification, discretization, and switching process. However, in industrial applications, these three steps still have room for improvement. In this article, three targeted modification methods are proposed. First, an identification method based on the twins-point search is proposed to find out all of the available potential elastic characteristics accurately and quickly, and get the resonant frequency, the rejection bandwidth, and the notch depth for filter design. Then, inspired by the discretization distortion correction of the notch filter, a parameter mapping Tustin method is used to achieve accurate discretization. Furthermore, considering the bi-quad filter's settling time, a “warm-up” buffer strategy prior to the filter switch- on is proposed to smooth the switching process. In the end, the validity and effectiveness of the proposed modification strategies are verified by experimental results.

LaN/rare earth nitride (REN) superlattices, having magnetic REN as one of the parent components, are constructed and studied by first-principles calculations. In particular, they are found to be mechanically and dynamically stable with (anti-)ferromagnetic and ferroelectric orderings. We reveal that the volume matching condition is applicable to these superlattices, which results in the elastic constant C33 softening and, when combined with a small c/ a value, induces a huge piezoelectric response near the unstrained state. We also show that in-plane biaxial strain can precisely control the nature (indirect or direct) and value of the electronic bandgap. Moreover, the unpaired magnetically active 4 f-electrons reduce the c-direction off-centric distortion of the wurtzite structure, making possible the switching of the ferroelectric polarization. This work, therefore, reveals that the volume matching condition also applies to magnetic materials and provides guidance for the design of multiferroic rare-earth nitride superlattices in piezoelectric devices.

Diabetes is primarily characterized by hyperglycemia, and its high incidence is often very costly to patients, their families, and national economies. Unsurprisingly, the number and function of endothelial progenitor cells (EPCs) decrease in patients resulting in diabetic wound non-healing. As precursors of endothelial cells (ECs), these cells were discovered in 1997 and found to play an essential role in wound healing. Their function, number, and role in wound healing has been widely investigated. Hitherto, a lot of complex molecular mechanisms have been discovered. In this review, we summarize the mechanisms of how hyperglycemia affects the function and number of EPCs and how the affected cells impact wound healing. We aim to provide a complete summary of the relationship between diabetic hyperglycosemia, EPCs, and wound healing, as well as a better comprehensive platform for subsequent related research.

Due to the lack of a sufficient amount of animal protein and the pursuit of health and reduced environmental impact, the global demand for plant protein is increasing. This study endeavors to using textured soybean protein (TSP) or drawing soy protein (DSP) as raw materials to produce steak-like foods through 3D printing technology. The textural difference between fried 3D printed samples and fried commercial chicken breast (control) was studied. The results show that different ink substrates (TSP and DSP) and hydrocolloids (xanthan gum, konjac gum, sodium alginate, guar gum, sodium carboxymethyl cellulose, and hydroxyethyl cellulose) were the keys to successful printing. The ink composed of TSP and xanthan gum had the best printing characteristics and sample integrity after frying. It was found that different infilling patterns and infill rates had a significant effect on the texture properties of the fried samples. When the triangle infilling pattern was used at an infill rate of 60%, the product had had the closest hardness (2585.13 ± 262.55), chewiness (1227.18 ± 133.00), and gumminess (1548.09 ± 157.82) to the control sample. This work proved the feasibility of using 3D printing based on plant protein to produce steak-like food with texture properties similar to chicken breast.

Dyslipidemia is associated with lifestyle behaviors, while several lifestyle behaviors exist collectively among some populaitons. This study aims to identify lifestyle behavior clusters and their relations to dyslipidemia. This cross-sectional study was conducted in Wuhai City, China. Cluster analysis combined with compositional data analysis was conducted, with 24-h time-use on daily activities and dietary patterns as input variables. Multiple logistic regression was conducted to compare dyslipidemia among clusters. A total of 4306 participants were included. A higher prevalence of newly diagnosed dyslipidemia was found among participants in cluster 1 (long sedentary behavior (SB) and the shortest sleep, high-salt and oil diet) /cluster 5 (the longest SB and short sleep), relative to the other clusters in both age groups (&lt, 50 years and ≥50 years). In conclusion, unhealthy lifestyle behaviors may exist together among some of the population, suggesting that these people are potential subjects of health education and behavior interventions. Future research should be conducted to investigate the relative significance of specific lifestyle behaviors in relation to dyslipidemia.

In this paper, the bearing-only formation control problem of a class of second-order system with unknown disturbance is investigated, where the control law merely depends on the relative bearings between neighboring agents. In order to offset the effect of unknown disturbance on the system, adaptive estimation is introduced. In the design of the control law, the back-stepping design method and the negative gradient method are used. The Barbalat’s lemma is used to prove the global stability of the system. The simulation results prove the effectiveness of the proposed formation control algorithm.

This work put forward an analysis of the spectrum characteristics of deep water ambient noise in the West Pacific, in terms of depth dependence and the relationship to temperature, based on the experimental data obtained in the autumn of 2020. The results illustrate that the ambient noise is higher in the morning than the afternoon and evening; the minimum noise level is about 10dB and 40dB lower than the mean and maximum noise level; the mean standard deviation of noise level higher than 1kHz is about 6.3dB during the measurement.

A use case has been widely adopted for requirements specification, which can be created on a high abstraction level or a very detailed level. A use case with a very detailed level can be a lot more useful for requirements elicitation, but such a model may become too complex and difficult to understand the whole context. A use case slice is introduced in order to simplify the requirements analysis and ensure the correctness of software incremental development process (e.g., the agile development process). However, a use case is usually divided into multiple use case slices in a manual way. Some errors may occur during this manual process. In this article, the authors present an automated approach for dividing a use case into use case slices. The approach first decomposes a use case into multiple use case stories, and then these stories can be composed into different use case slices according to different requirements. These use case slices cover all the functionality of the original use case. The authors give a decomposition theory and propose the corresponding algorithm. A case study demonstrates these results.

Using a large sample of transaction-level institutional trading data, we investigate the role of institutional investors in stock market around the terrorist attacks on September 11, 2001 (9/11), a sudden exogenous catastrophic shock to financial markets. We find that institutional investors remain net buyers amid the large market-wide crisis following 9/11. Furthermore, stocks that are highly bought by institutions earn higher abnormal future returns than stocks that are highly sold. We also examine trading patterns across different types of institutional investors and various industry sectors. Our results suggest that institutional investors act as liquidity providers rather than engage in panic selling during market crises caused by catastrophic events. We also find that their liquidity provision trading is rational and profitable. Overall, our findings support the market stabilization role played by institutional investors who lend a “steady hand” during high-stress periods in financial markets.

The large thermal deformation of the panel in active phased array antennas (APAAs) caused by the thermal power consumption of the internal devices and the change in the ambient temperature in actual operating conditions will result in a considerable decline in the electromagnetic (EM) performance of radar. Experimental research indicates that the thermal deformation of the panel is affected not only by temperature but also by the constraints caused by the installation. Thus, this paper proposes a thermo-mechanical coupling modeling method for an APAA considering the panel temperature and constraints. The coupling model can accurately predict the panel thermal deformation, thereby providing a basis for the compensation of the EM performance of radar. The thermal deformation of the panel is decomposed into a thermal expansion and an offset. Models of the thermal expansion with respect to temperature and the offset with respect to the constraint force are established. The final thermo-mechanical coupling model is obtained by coupling the two models. Experiments verify that the prediction accuracy of the coupling model is 86.3%, which is 21.0% higher than that of a finite element software simulation. The content of this research has practical engineering importance for improving the overall performance of APAAs.

The paper initiates a constitutive theory of isotropic linear elastic solids where Cauchy’s stress tensor is not necessarily symmetric thus earning them the attribute “polar”. Mainly, expressions for the fourth-order elasticity tensors of isotropic polar solids in two and three space dimensions are derived. It is found that the constitutive tensors feature, in addition to the usual bulk and shear moduli, one extra independent elastic constant in 3D, and two extra constants in 2D. In the latter case, the new constants quantify to which degree stress and mirror symmetries are broken. Indeed, it turns out that in 2D, stress asymmetry enables isotropic yet chiral behaviors and the interplay between chirality and polarity is subsequently investigated. To motivate the theory, it is shown that 2D isotropic polar solids naturally arise in the application of the transformation method when the background medium is isotropic and when the underlying spatial transformation is conformal (i.e., angle-preserving). Accordingly, isotropic polar solids, in conjunction with conformal transformations, can simplify the design of invisibility cloaks and other wave-steering devices by circumventing the need for anisotropic behaviors. As a demonstration, a conformal carpet cloak is designed out of graded hexachiral lattices and numerically tested. The cloaking performance is shown to be satisfactory over a range of pressure-shear coupled dynamic loadings.

Although dye sensitized photocatalytic systems employing in situ grown amorphous MoSx as catalyst have shown promising performance for H2 evolution reaction (HER), their low activity and short durability need to be further improved. Herein, we report that employing TiO2 as an electron relay and catalyst loading matrix can greatly accelerate the H2 evolution activity of in situ grown MoSx in an Eosin Y (EY) sensitized system. The EY/TiO2/MoSx system exhibited 4.5 times higher H2 evolution activity than EY/MoSx and an apparent quantum yield (AQY) of 27.5% at 500 nm. The TiO2/MoSx catalyst also showed improved stability as compared to free MoSx. The enhanced H2 evolution activity of EY/TiO2/MoSx system was attributed to the presence of TiO2, which can not only serve as an effective loading matrix to grow MoSx with high dispersion and reduced size, affording an abundance of active sites toward HER, but also efficiently mediate the electron transfer from excited EY (EY∗) to MoSx, leading to the promoted oxidative quenching of EY∗, and thus suppressing the formation of unstable EY−·. This work provides an effective strategy to develop highly active noble-metal-free H2 evolution systems by simultaneously regulating electron transfer kinetics and existing state of catalyst with multifunctional mediators.

We study how media coverage impacts pricing of initial public offerings (IPOs) around the world. Higher media coverage in the pre-IPO period leads to lower IPO initial returns. The effect is mitigated in countries with better financial reporting quality, greater shareholder rights protection, and more stringent media censorship, and for IPOs “certified” by reputable intermediaries, while it is amplified in countries with higher levels of media penetration and media trust. Further, IPOs with higher pre-IPO media coverage have lower ex post price revision volatility. Our findings suggest that higher pre-IPO media coverage reduces information asymmetry among investors, leading to less underpriced IPOs.

With the rapid development of medical imaging methodologies, such as magnetic resonance (MR) and positron emission tomography (PET)/MR, various types of MR images, which are acquired using inconsistent MR pulse sequences on the same patient, have been applied in medical-image-based diagnoses. A feature map extracted from an MR image describes the patient’s condition from one perspective. By effectively using all feature maps from various MR images, it is possible to completely describe the intrinsic characteristics of the patient’s condition to facilitate a diagnosis. Facing such a scenario, classic machine learning algorithms typically stack these feature maps for unified processing and do not explore the importance of each feature within a single feature map or the relationships among feature maps. To address these challenges, both multiview and subspace learning scenarios are considered in this study, and the multiview collaboration-based fuzzy soft subspace clustering (MVC-FSSC) algorithm is proposed. The MVC-FSSC algorithm not only strives to exploit the agreement of decisions across all views via collaborative learning but also strives to utilize the soft subspace-based weighting mechanism to automatically evaluate the contribution of each dimensional feature to each estimated cluster within a single view. Our experimental results indicate that the proposed MVC-FSSC algorithm can effectively explore the collaborative relations among all views and the importance of features in their respective views. Additionally, our MVC-FSSC method has substantial advantages over traditional clustering algorithms in MR image segmentation. Applying the MVC-FSSC algorithm to five patients’ MR images, the average mean absolute prediction deviation (MAPD) is 98.62 ± 8.34, which is significantly better than the score of 131.90 ± 16.03 that was obtained using the collaborative fuzzy k-means (CO-FKM) algorithm and the score of 128.87 ± 11.32 that was obtained using the quadratic weights and Gini-Simpson diversity-based fuzzy clustering (QWGSD-FC) algorithm.

In this work, the effect of ignition modes on engine performance is discussed in detail. Torque, ECR (energy consumption rate), emissions and knock are investigated by using combining experiment with CFD (computational fluid dynamics). The results are as following: the torque of synchronous twin-spark is more excellent (for example, the torque improves by 2.3% under 60% engine load and 5000 rpm) relative to single-spark or the asynchronous ignition mode of twin-spark; the synchronous twin-spark ignition mode has shorter combustion period and less heat transfer loss, resulting in the lower ECR (under 60% engine load and 5000 rpm, it decreases by 3.7%).; unexpectedly all the emissions of synchronous twin-spark are higher (increased by 12%, 53.1% and 9.4% for HC, CO and NOx, respectively under 60% engine load, 5000 rpm) than those of single-spark. Then, we used CFD to reveal the seemingly contradictory phenomenon. And found that, under synchronous twin-spark mode, due to the specifically interaction form between flame and turbulence, the maximum in-cylinder temperature is higher and it decreases faster. This results in specifically pollutants formation patterns. The investigation provides a deeply understanding of in-cylinder working process under multi-ignition, and gives us a foundation for the optimization of ignition modes.

Non-Hermitian parity-time ( PT) symmetric systems that possess real eigenvalues have been intensively investigated in quantum mechanics and rapidly extended to optics and acoustics demonstrating a lot of unconventional wave phenomena. Here, a PT symmetric metamaterial beam is designed based on shunted piezoelectric patches and asymmetric wave scattering in the form of flexural waves is demonstrated through analytical and numerical approaches. The gain and loss components in the PT symmetric beam are realized by the introduction of negative and positive resistances into the external shunting circuits, respectively. Effective medium theory and transfer matrix method are employed to determine the effective material parameters and scattering properties of the PT symmetric metamaterial beam. Unidirectional reflectionlessness has been demonstrated analytically and numerically, together with illustrations of the PT phase transition and exceptional points. The tunability of exceptional points is studied by changing the spacing between piezoelectric patches and shunting circuit parameters. The design explores complex material parameters of the beam structure, and could open unique ways to asymmetric wave control, enhanced sensing, amplification, and localization of flexural waves.

The basic premise of iterative and evolutionary project management is that a project is divided into early, frequent, and short duration delivery steps. Each step attempts to deliver some real value to stakeholders. The increment size and iteration length usually depend on profitability, finance, deadline, and so on, rather than the functionality of a developing system. It is difficult to guarantee the correctness in every iteration step. In this article, we propose a method of ensuring the correctness of iterative design in terms of deadlock-freedom of the behavior of software. The method first obtains the correct (deadlock-free) atomic subsystems of a system using a decomposition approach. In the iterative development process, the method then requires that one atomic subsystem or the composition of multiple atomic subsystems should be regarded as one increment. Every increment is naturally correct and can be completely independently developed, independently deployed, and independently maintained. The currently released system in each iteration step is naturally guaranteed to be correct. It is not necessary for developers to consider the composition of the increment and the previously released system may cause flaws and errors. We also discuss the approach for ensuring correctness when design modifications are made in an iteration step. Finally, we explore the automatic decomposition of a system into multiple atomic subsystems and present the corresponding algorithm. A case demonstrates these results.

Realization of fast, efficient and continuous oil–water separation is of great significance for solving the problem of oil pollution. We present here a facile hydrothermal strategy to synthesize a superhydrophilic platanus fruit-like Ni@Ni(OH)2 hierarchical architecture (SI-PFHA). Additionally, superhydrophobic platanus fruit-like Ni@Ni(OH)2 hierarchical architecture (SO-PFHA) is obtained through stearic acid modification of SI-PFHA. Dual-channel separation system is integrated based on two superwetting membranes. Such separation system is competent for continuous light/heavy oil–water separation with high flux and high separation efficiency. Importantly, outstanding durability and reusability make this separation system a promising strategy for practical application in remediation of oily wastewater.

To better circumvent the issues of oil spills and industrial organic pollutants, it is urgent and necessary to develop advanced material or technology that can efficiently separate oil/water mixture. Herein, no matter light or heavy oil/water mixtures are separated successfully by a straight tee system combining two opposite superwetting meshes. The combined system shows a high flux (above 0.22 × 105 L m−2 h−1), high efficiency (above 99.3%) for continuous light or heavy oil/water separation with good durability. Importantly, the superhydrophilic and superhydrophobic meshes can be easily obtained via facile, viable electroless galvanic replacement reaction followed post surface modification strategy. Additionally, the capillary action was used to clarify mechanism of oil/water separation to gain insight into oil/water separation process. The merits of high flux, high efficiency, viable for light/heavy oil and durability make this separation system a powerful tool for practical application in continuous oil/water separation.

In this work, auricularia-based magnetic porous carbon (AMPC) is achieved via facile simultaneous activation and magnetization strategy. The AMPC shows specific surface area of 823.2 m2 g−1 and pore volume of 0.47 cm3 g−1 nm−1. The hysteresis loop indicates saturated magnetization of AMPC is about 11 emu g−1. The morphology and composition of AMPC were also characterized by SEM, HRTEM, XRD, EDS mapping, XPS, etc. The AMPC exhibits a high adsorption capacity of 397.25 mg g −1 (318 K) for tetracycline (TC). The adsorption data can be fitted well by the Langmuir model and pseudo-second-order kinetic model. Additionally, the AMPC shows acceptable ability to resist ions and natural organic matter interference, and displays good feasibility of reuse by magnetic separation. We believe this facile simultaneous activation and magnetization strategy in converting biomass into a magnetic carbonaceous adsorbent that can remove pollutants from solution is very important for environmental remediation.