Emerging health disparities among college graduates: Understanding the health consequences of education-occupation mismatch.

This study examines the health consequences and underlying pathways of education-occupation mismatch. Using a longitudinal sample of college graduates from the Panel Studies of Income Dynamics (1984-2019) and employing longitudinal hybrid models, we found that contemporary vertical mismatch (between education level and educational requirements of occupation) was associated with poorer psychological well-being and bio-behaviors (obesity and smoking), but not physical health. In contrast, horizontal mismatch (between field of study and field required for occupation) did not show clear health consequences. Sequence analysis was employed to uncover the mismatch trajectories and revealed that persistent vertical mismatch over one's career had a greater impact on psychological distress and smoking than episodic mismatch experiences. Furthermore, the linkage between vertical mismatch and health outcomes was likely shaped by psychosocial processes rather than reduced material well-being. These findings imply that education-occupation vertical (mis)match produces health disparities between occupationally matched and mismatched college graduates.

Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip.

By mimicking the neurons and synapses of the human brain and employing spiking neural networks on neuromorphic chips, neuromorphic computing offers a promising energy-efficient machine intelligence. How to borrow high-level brain dynamic mechanisms to help neuromorphic computing achieve energy advantages is a fundamental issue. This work presents an application-oriented algorithm-software-hardware co-designed neuromorphic system for this issue. First, we design and fabricate an asynchronous chip called "Speck", a sensing-computing neuromorphic system on chip. With the low processor resting power of 0.42mW, Speck can satisfy the hardware requirements of dynamic computing: no-input consumes no energy. Second, we uncover the "dynamic imbalance" in spiking neural networks and develop an attention-based framework for achieving the algorithmic requirements of dynamic computing: varied inputs consume energy with large variance. Together, we demonstrate a neuromorphic system with real-time power as low as 0.70mW. This work exhibits the promising potentials of neuromorphic computing with its asynchronous event-driven, sparse, and dynamic nature.

Multiple Eruptive Dermatofibroma: A Case Report.

Background: Multiple eruptive dermatofibroma (MEDF) is a rare presentation of dermatofibroma which is frequently associated with underlying diseases such as human immunodeficiency virus infection or systemic lupus erythematosus. It generally presents a characteristic histology with hyperplasia of the epidermis, prominent bundles of collagen and a diffuse proliferation of fibrocytes. Case Summary: We report a case of MEDF in a 30-year-old man who presented with a large number of dark brownish red maculopapules distributed over the trunk and extremities for more than 10 years. According to the pathology, the patient was diagnosed with MEDF. Infections and autoimmune diseases were ruled out. As he had no clinical symptoms, and presented with lesions widely distributed over the body, we gave no special treatment, but suggested a regular examination. Conclusion: Patients with MEDF usually have no pain and pruritus. If human immunodeficiency virus infection and systemic lupus erythematosus and other causes are ruled out, and lesions are widely distributed over the body, regular check-up is recommended without specific treatment.

Advancing Spiking Neural Networks Toward Deep Residual Learning.

Despite the rapid progress of neuromorphic computing, inadequate capacity and insufficient representation power of spiking neural networks (SNNs) severely restrict their application scope in practice. Residual learning and shortcuts have been evidenced as an important approach for training deep neural networks, but rarely did previous work assessed their applicability to the specifics of SNNs. In this article, we first identify that this negligence leads to impeded information flow and the accompanying degradation problem in a spiking version of vanilla ResNet. To address this issue, we propose a novel SNN-oriented residual architecture termed MS-ResNet, which establishes membrane-based shortcut pathways, and further proves that the gradient norm equality can be achieved in MS-ResNet by introducing block dynamical isometry theory, which ensures the network can be well-behaved in a depth-insensitive way. Thus, we are able to significantly extend the depth of directly trained SNNs, e.g., up to 482 layers on CIFAR-10 and 104 layers on ImageNet, without observing any slight degradation problem. To validate the effectiveness of MS-ResNet, experiments on both frame-based and neuromorphic datasets are conducted. MS-ResNet104 achieves a superior result of 76.02% accuracy on ImageNet, which is the highest to the best of our knowledge in the domain of directly trained SNNs. Great energy efficiency is also observed, with an average of only one spike per neuron needed to classify an input sample. We believe our powerful and scalable models will provide strong support for further exploration of SNNs.

CircRNA Larp4b/miR-298-5p/Mef2c Regulates Cardiac Hypertrophy Induced by Angiotensin II.

Cardiac hypertrophy (CH) is an early marker in the clinical course of heart failure. Circular RNAs (circRNAs) play important roles in human disease. However, the role of circ_Larp4b in myocardial hypertrophy has not been studied. Angiotensin II (Ang II) treated HL-1 cells to induce a CH cell model. Quantitative real-time polymerase chain reaction was used to detect the expression of circ_Larp4b, microRNA-298-5p, and myocyte enhancer factor 2 (Mef2c). Western blot detected the protein level of alpha-actinin-2 (ACTN2), beta-myosin heavy chain (ß-MHC), atrial natriuretic peptide (ANP), and Mef2c. The relationship between miR-298-5p and circ_Larp4b or Mef2c was verified by dual-luciferase reporter assay and RNA pull-down assay. Circ_Larp4b and Mef2c were upregulated in HL-1 cells treated with Ang II. Moreover, circ_Larp4b down-regulation regulated the progress of CH induced by Ang II. MiR-298-5p was a target of circ_Larp4b, and Mef2c was a target of miR-298-5p. Overexpressed Mef2c reversed the cell size inhibited by miR-298-5p in Ang II-induced HL-1 cells. Circ_Larp4b regulated CH progress by regulating miR-298-5p/Mef2c axis.

The Impact of SARS-CoV-2 Infection on Patients with Aortic Stenosis.

OBJECTIVE: To investigate the potential treatments for aortic stenosis and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using bioinformatics and systems biology. STUDY DESIGN: Observational study. Place and Duration of the Study: Jiading District Central Hospital affiliated Shanghai University of Medicine & Health Sciences, Shanghai, China, from August to December 2022. METHODOLOGY: GSE147507 was chosen as the SARS-CoV-2 infection dataset from the Biotechnology Information (NCBI) GEO database, while GSE153555 was chosen as the dataset of patients with aortic stenosis (AS). This analysis predicted protein-drug interactions (PDIs) and found therapeutic compounds for AS and COVID-19. RESULTS: One hundred and four DEGs were shared between the two datasets. Researchers built a PPI network to identify 10 hub genes from the network. Researchers discovered that COVID-19 and AS shared certain pathogenic pathways and found a relationship between hub genes and transcription factors and miRNAs, as well as a connection between hub genes and proposed treatments. CONCLUSION: Hub genes were identified as potential pathogenic pathways in SARS-CoV-2 infection and AS. In addition, new prescription medication options for treating both illnesses were provided. KEY WORDS: SARS-CoV-2 infection, COVID-19, Aortic stenosis, Differentially expressed genes, Hub genes, Gene-disease, Drug molecule.

Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition.

Event-based visual, a new visual paradigm with bio-inspired dynamic perception and µs level temporal resolution, has prominent advantages in many specific visual scenarios and gained much research interest. Spiking neural network (SNN) is naturally suitable for dealing with event streams due to its temporal information processing capability and event-driven nature. However, existing works SNN neglect the fact that the input event streams are spatially sparse and temporally non-uniform, and just treat these variant inputs equally. This situation interferes with the effectiveness and efficiency of existing SNNs. In this paper, we propose the feature Refine-and-Mask SNN (RM-SNN), which has the ability of self-adaption to regulate the spiking response in a data-dependent way. We use the Refine-and-Mask (RM) module to refine all features and mask the unimportant features to optimize the membrane potential of spiking neurons, which in turn drops the spiking activity. Inspired by the fact that not all events in spatio-temporal streams are task-relevant, we execute the RM module in both temporal and channel dimensions. Extensive experiments on seven event-based benchmarks, DVS128 Gesture, DVS128 Gait, CIFAR10-DVS, N-Caltech101, DailyAction-DVS, UCF101-DVS, and HMDB51-DVS demonstrate that under the multi-scale constraints of input time window, RM-SNN can significantly reduce the network average spiking activity rate while improving the task performance. In addition, by visualizing spiking responses, we analyze why sparser spiking activity can be better. Code.

CAXII inhibitors: Potential sensitizers for immune checkpoint inhibitors in HCC treatment.

Hepatocellular carcinoma (HCC) is a lethal malignancy with a lack of effective treatments particularly for the disease at an advanced stage. Even though immune checkpoint inhibitors (ICIs) have made great progress in the treatment of HCC, durable and ideal clinical benefits still cannot be achieved in plenty of patients with HCC. Therefore, novel and refined ICI-based combination therapies are still needed to enhance the therapeutic effect. The latest study has reported that the carbonic anhydrase XII inhibitor (CAXIIi), a novel type of anticancer drug, can modify the tumor immunosuppression microenvironment by affecting hypoxic/acidic metabolism and alter the functions of monocytes and macrophages by regulating the expression of C-C motif chemokine ligand 8 (CCL8). These observations shine a light on improving programmed cell death protein 1 (PD-1)/programmed cell death ligand-1 (PD-L1) immunotherapy in combination with CAXIIis. This mini-review aims to ignite enthusiasm to explore the potential application of CAXIIis in combination with immunotherapy for HCC.

Attention Spiking Neural Networks.

Brain-inspired spiking neural networks (SNNs) are becoming a promising energy-efficient alternative to traditional artificial neural networks (ANNs). However, the performance gap between SNNs and ANNs has been a significant hindrance to deploying SNNs ubiquitously. To leverage the full potential of SNNs, in this paper we study the attention mechanisms, which can help human focus on important information. We present our idea of attention in SNNs with a multi-dimensional attention module, which infers attention weights along the temporal, channel, as well as spatial dimension separately or simultaneously. Based on the existing neuroscience theories, we exploit the attention weights to optimize membrane potentials, which in turn regulate the spiking response. Extensive experimental results on event-based action recognition and image classification datasets demonstrate that attention facilitates vanilla SNNs to achieve sparser spiking firing, better performance, and energy efficiency concurrently. In particular, we achieve top-1 accuracy of 75.92% and 77.08% on ImageNet-1 K with single/4-step Res-SNN-104, which are state-of-the-art results in SNNs. Compared with counterpart Res-ANN-104, the performance gap becomes -0.95/+0.21 percent and the energy efficiency is 31.8×/7.4×. To analyze the effectiveness of attention SNNs, we theoretically prove that the spiking degradation or the gradient vanishing, which usually holds in general SNNs, can be resolved by introducing the block dynamical isometry theory. We also analyze the efficiency of attention SNNs based on our proposed spiking response visualization method. Our work lights up SNN's potential as a general backbone to support various applications in the field of SNN research, with a great balance between effectiveness and energy efficiency.

Role of exosomes in hepatocellular carcinoma and the regulation of traditional Chinese medicine.

Hepatocellular carcinoma (HCC) usually occurs on the basis of chronic liver inflammatory diseases and cirrhosis. The liver microenvironment plays a vital role in the tumor initiation and progression. Exosomes, which are nanometer-sized membrane vesicles are secreted by a number of cell types. Exosomes carry multiple proteins, DNAs and various forms of RNA, and are mediators of cell-cell communication and regulate the tumor microenvironment. In the recent decade, many studies have demonstrated that exosomes are involved in the communication between HCC cells and the stromal cells, including endothelial cells, macrophages, hepatic stellate cells and the immune cells, and serve as a regulator in the tumor proliferation and metastasis, immune evasion and immunotherapy. In addition, exosomes can also be used for the diagnosis and treatment HCC. They can potentially serve as specific biomarkers for early diagnosis and drug delivery vehicles of HCC. Chinese herbal medicine, which is widely used in the prevention and treatment of HCC in China, may regulate the release of exosomes and exosomes-mediated intercellular communication. In this review, we summarized the latest progresses on the role of the exosomes in the initiation, progression and treatment of HCC and the potential value of Traditional Chinese medicine in exosomes-mediated biological behaviors of HCC.

Kronecker CP Decomposition With Fast Multiplication for Compressing RNNs.

Recurrent neural networks (RNNs) are powerful in the tasks oriented to sequential data, such as natural language processing and video recognition. However, because the modern RNNs have complex topologies and expensive space/computation complexity, compressing them becomes a hot and promising topic in recent years. Among plenty of compression methods, tensor decomposition, e.g., tensor train (TT), block term (BT), tensor ring (TR), and hierarchical Tucker (HT), appears to be the most amazing approach because a very high compression ratio might be obtained. Nevertheless, none of these tensor decomposition formats can provide both space and computation efficiency. In this article, we consider to compress RNNs based on a novel Kronecker CANDECOMP/PARAFAC (KCP) decomposition, which is derived from Kronecker tensor (KT) decomposition, by proposing two fast algorithms of multiplication between the input and the tensor-decomposed weight. According to our experiments based on UCF11, Youtube Celebrities Face, UCF50, TIMIT, TED-LIUM, and Spiking Heidelberg digits datasets, it can be verified that the proposed KCP-RNNs have a comparable performance of accuracy with those in other tensor-decomposed formats, and even 278 219× compression ratio could be obtained by the low-rank KCP. More importantly, KCP-RNNs are efficient in both space and computation complexity compared with other tensor-decomposed ones. Besides, we find KCP has the best potential of parallel computing to accelerate the calculations in neural networks.

A Bioinformatic Approach Based on Systems Biology to Determine the Effects of SARS-CoV-2 Infection in Patients with Hypertrophic Cardiomyopathy.

Recently, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease 2019 (COVID-19), has infected millions of individuals worldwide. While COVID-19 generally affects the lungs, it also damages other organs, including those of the cardiovascular system. Hypertrophic cardiomyopathy (HCM) is a common genetic cardiovascular disorder. Studies have shown that HCM patients with COVID-19 have a higher mortality rate; however, the reason for this phenomenon is not yet elucidated. Herein, we conducted transcriptomic analyses to identify shared biomarkers between HCM and COVID-19 to bridge this knowledge gap. Differentially expressed genes (DEGs) were obtained using the Gene Expression Omnibus ribonucleic acid (RNA) sequencing datasets, GSE147507 and GSE89714, to identify shared pathways and potential drug candidates. We discovered 30 DEGs that were common between these two datasets. Using a combination of statistical and biological tools, protein-protein interactions were constructed in response to these findings to support hub genes and modules. We discovered that HCM is linked to COVID-19 progression based on a functional analysis under ontology terms. Based on the DEGs identified from the datasets, a coregulatory network of transcription factors, genes, proteins, and microRNAs was also discovered. Lastly, our research suggests that the potential drugs we identified might be helpful for COVID-19 therapy.

Performance investigation of TixNx-1O2MXene (x= 2, 3, 4) as anode materials for Na-ion batteries by first-principles calculation.

The number of MXene layers plays a crucial role in their performance when they are used as anode materials for sodium-ion batteries. Herein, Ti-based nitride MXenes with different layers, TixNx-1O2MXene (x= 2, 3, 4) structures, were constructed to calculate the structural stability of their precursor, electronic properties after etching, and sodium storage behavior compared with the common Ti2CO2and Ti3C2O2MXene. First-principles calculations indicate that nitride MXenes possess a better rate capability than carbide MXenes of the same thickness. Moreover, the barrier for Na diffusion on the Ti2NO2MXene surface (0.114 eV) is lowest. Meanwhile, comparing the properties of three nitride MXenes with different thicknesses, Ti2NO2MXene performs relatively well with a high theoretical capacity with 756 mAh g-1and a lower open circuit voltage of 1.1 V. In conclusion, the performance improvement of nitride MXene is not linear with thickness, because that of Ti3N2O2MXene is relatively weaker. This work lays the foundation for the feasibility of Ti3N2Txexperimental preparation and provides corresponding evidence on the choice of MXene thickness. More attention should be paid to the etching method for Ti2NTxMXene.

Prognostic Comparison between cTACE and H101-TACE in Unresectable Hepatocellular Carcinoma (HCC): A Propensity-Score Matching Analysis.

Background: Transarterial chemoembolization (TACE) is the most common treatment for patients with HCC who are unsuitable for radical therapies. Conventional TACE (cTACE) takes advantage of the preferential hepatic arterial supply of HCC for the targeted delivery of chemotherapeutic agents suspended in lipiodol, followed by embolization or reduction of arterial flow using various types of particles while sparing the surrounding liver parenchyma. Aims and Objectives. The current study is aimed at comparing the efficacy and safety profiles of transarterial infusion of recombinant human type-5 adenovirus (H101-TACE) with conventional transarterial chemoembolization (cTACE) in patients with unresectable hepatocellular carcinoma (HCC). Methods: Unresectable HCC patients that received H101-based TACE or cTACE from August 2018 to September 2021 were retrospectively evaluated. Propensity score matching (PSM) has a 1 : 1 ratio to eliminate possible confounder imbalances across cohorts. The main outcome was overall survival (OS), while secondary outcomes were progression-free survival (PFS) and tumor response. Results: This study included 111 patients classified across two cohorts: the H101-TACE cohort (n = 37) and the cTACE cohort (n = 74). Median OS within the H101-TACE cohort was 9.0 months longer than within the cTACE cohort before PSM (22.1 vs. 13.1 months, P = 0.043) and 9.3 months longer following PSM (22.1 vs. 12.8 months, P = 0.004). The median PFS within the H101-TACE cohort was 3.2 months longer compared to the cTACE cohort before PSM (6.5 vs. 3.3 months, P = 0.046) and 2.5 months after PSM (6.5 vs. 4.0 months, P = 0.012). The disease control rate for H101 and control cohorts was 81.1% and 59.5%, accordingly (P = 0.039). Conclusion: The present study demonstrated that the H101-TACE is safe and efficient and can considerably enhance prognostic results for unresectable HCC compared to cTACE.

Sphingosine-1-phosphate transporter spinster homolog 2 is essential for iron-regulated metastasis of hepatocellular carcinoma.

Iron dyshomeostasis is associated with hepatocellular carcinoma (HCC) development. However, the role of iron in HCC metastasis is unknown. This study aimed to elucidate the underlying mechanisms of iron's enhancement activity on HCC metastasis. In addition to the HCC cell lines and clinical samples in vitro, iron-deficient (ID) mouse models were generated using iron-free diet and transferrin receptor protein knockout, followed by administration of HCC tumors through either orthotopic or ectopic route. Clinical metastatic HCC samples showed significant ID status, accompanied by overexpression of sphingosine-1-phosphate transporter spinster homolog 2 (SPNS2). Mechanistically, ID increased SPNS2 expression, leading to HCC metastasis in both cell cultures and mouse models. ID not only altered the anti-tumor immunity, which was indicated by phenotypes of lymphatic subsets in the liver and lung of tumor-bearing mice, but also promoted HCC metastasis in a cancer cell autonomous manner through the SPNS2. Since germline knockout of globe SPNS2 showed significantly reduced HCC metastasis, we further developed hepatic-targeting recombinant adeno-associated virus vectors to knockdown SPNS2 expression and to inhibit iron-regulated HCC metastasis. Our observation indicates the role of iron in HCC pulmonary metastasis and suggests SPNS2 as a potential therapeutic target for the prevention of HCC pulmonary metastasis.

Impact of treatment-duration-ratio of traditional Chinese medicine on survival period of primary liver cancer -A real-world study.

Introduction: In China, traditional Chinese medicine (TCM) is regarded as an effective treatment for primary liver cancer (PLC). The present study analyzed the effect of TCM on the survival period of patients with PLC by analyzing the relationship between the treatment-duration-ratio of traditional Chinese medicine (C-TDR, (traditional Chinese medicine treatment duration)/(Overall treatment duration) × 100%) and the survival time of 1002 patients with PLC. Methods: In this study, 1002 patients with PLC admitted to TCM Oncology Department of Changhai Hospital from January, 2015 to December, 2019 were enrolled. The univariate and multivariate Cox regression equation, propensity score matching (PSM) were performed to identify independent prognostic factors for survival outcomes of PLC patients at different stages and estimate the influence of C-TDR on survival time. Results: Cox regression analysis indicated that C-TDR was an independent prognostic factor for survival outcome (P＜0.05) and a corresponding reduction of relative risk of death of 75.67% (relative risk (RR) = 0.2433; 95%Confedential Interval (CI) = 0.1747-0.3388). Similarly, it is also an independent prognostic factor for patients outcome of each stage (P＜0.05). The 251 patients of BCLC-A reduced 96.09% risk of mortality (RR = 0.0391; 95%CI = 0.0151-0.1012). The 396 BCLC-B patients decreased risk of death of 81.24% (RR = 0.1876, 95%CI = 0.1112-0.3163). Moreover, 355 patients of stage C demonstrated a 51.36% lower risk of death (RR = 1.0016, 95%CI = 0.9885-1.0149). Significant differences were found in the median overall survival (OS) both higher and lower C-TDR of all patients. Even after PSM, the overall survival of two groups were significantly improved following each stage. Conclusion: Earlier administration of traditional Chinese medicine can reduce the risk of mortality and prolong survival in patients with liver cancer.

[Target gene panel method versus whole-exome sequencing in detection of idiopathic hypogonadotropic hypogonadism in males].

Objective: To compare the efficiency of the target gene panel method and whole-exome sequencing (WES) in detecting idiopathic hypogonadotropic hypogonadism (IHH), and select a more suitable gene detection method. METHODS: We selected 24 genes closely related to the molecular pathogenesis of IHH to make up the gene panel, detected the mutation sites in 73 patients with IHH using the panel method, and verified the results of sequencing with the Sanger method. Using the key words "idiopathic hypogonadotropic hypogonadism", we searched databases for relevant literature, calculated the positive rate of IHH detected by WES and compared it with that detected with the panel method. RESULTS: Of the 73 cases of IHH detected with the panel method, 7 were found with pathogenic mutations, including 2 cases of FGFR1, 2 cases of CHD7, 2 cases of KISS1R, and 1 case of NR5A1 mutation. Sanger sequencing showed that the positive rate of the panel method was 9.7%. Of the 1 336 articles retrieved, 5 met the inclusion criteria and were included, in which WES revealed a positive rate of about 30%. CONCLUSIONS: For detection of the diseases with clear mutated genes, the panel method is relatively inexpensive and has a high sequencing depth, while for detection of the diseases with complicated genetic patterns and unclear mutated genes, WES is more efficient. Further studies are needed for choice of the two methods for different purpose of detection./.

Cellular uptake of chitosan and its role in antifungal action against Penicillium expansum.

Chitosan has wide-spectrum antimicrobial activity but knowledge of its antifungal mechanism is still incomplete. In this study, transcriptome of Penicillium expansum upon chitosan treatment was analyzed by RNA-Seq. KEGG enrichment analysis revealed that endocytosis as well as other physiological pathways was regulated by chitosan treatment. Clathrin adaptor protein mu-subunit (PeCAM) gene, which encodes a protein associated with clathrin-dependent endocytosis, was up-regulated after chitosan treatment. Deletion of PeCAM resulted in changes of conidial, hyphal and colonial morphology. Confocal microscopy images of the distribution of fluorescein isothiocyanate-labeled chitosan confirmed cellular internalization of chitosan. However, deletion of PeCAM almost completely blocked uptake of chitosan into fungal cells and ΔPeCAM mutant exhibited less sensitivity to chitosan compared with wild type, suggesting that chitosan uptake is mediated by clathrin-dependent endocytosis and internalized chitosan also plays an important role in its antifungal activity. Collectively, our results provide a new insight into the antifungal mechanism of chitosan.

Adsorption and diffusion of alkali metals (Li, Na, and K) on heteroatom-doped monolayer titanium disulfide.

Doping engineering is an effective modification strategy to enhance the electrochemical performance of electrode materials. In this paper, the impacts of heteroatom doping in monolayer titanium disulfide (TiS2) by substituting the S atom with the heteroatoms (B, C, N, O, F, and P) on the adsorption and diffusion capabilities of alkali metals (Li, Na, and K) have been systematically investigated using first-principles calculations to evaluate the material performance for application in alkali metal-ion batteries. The doping of most heteroatoms can promote the adsorption capability of alkali metal atoms on monolayer TiS2 as their adsorption energies decrease compared with the pristine system, particularly for p-type doping with C, N, and P. The diffusion energy barriers decrease when alkali metals approach the doping site of most heteroatom-doped TiS2, and the barriers near the doping site are extremely small (0.00-0.08 eV), whereas they slightly increase as alkali metals move away from the doping site. P doping has the lowest overall diffusion energy barrier for each metal. Thus, monolayer TiS2 with heteroatom doping, especially P doping, can be used as a potential anode material for alkali metal-ion batteries. This study can help comprehend the impacts of heteroatom doping and design high-performance electrode materials for rechargeable batteries.

Exploring the Potentials of Ti3CiN2-iTx (i = 0, 1, 2)-MXene for Anode Materials of High-Performance Sodium-Ion Batteries.

Two-dimensional (2D) MXenes, including carbides, nitrides, and carbonitrides MXene, have been proved to be a possible candidate as anode materials of sodium-ion batteries. This paper focuses on the electronic properties and the electrochemical performance of nitrides MXene. First, density functional theory simulations were utilized to disclose the geometric structure and electronic properties, Na diffusion path, and storage behaviors of titanium carbonitrides Ti3CNTx, nitrides MXene Ti3N2Tx, and carbides MXene Ti3C2Tx with oxygen terminations, predicting the more excellent performance of Ti3N2O2 than Ti3C2O2. Also, then the structure characterization and electrochemical performance experiments of Ti3C2Tx and Ti3CNTx were conducted to verify the theoretical predictions and test the cycling performances. The superior performance of Ti3N2O2 originates from the stronger connection of O-Ti-N than that of O-Ti-C, resulting in the stackings of Ti3N2O2 being tighter and the interlayer spacings being larger than that of Ti3C2O2, which is advantageous to sodiation and desodiation. The capacity of Ti3CNTx increased again to 145 mAh/g after 35 cycles at a current density of 20 mA/g, which demonstrated a better rate performance than Ti3C2Tx corroborated by the diffusion barriers of the theoretical calculation results. Ti3CNTx exhibits a good cycling performance of 110 mAh/g (≈60% of the initial value) after 200 cycles, which is better than that of 87 mAh/g (≈51% of the initial value) of Ti3C2Tx. It is worth noting that all these performances ensure that nitride MXene is more suitable as the anode material of Na-ion batteries than carbide MXene. These findings are conducive to expanding the MXene family and promoting their application in energy storage applications.