The association between sleep duration, bedtime, and cognitive ability in Chinese adults: Evidence from the China family panel studies.

Introduction: Dementia is marked by a steady decline or worsening in cognitive abilities, affecting memory, logic, and social competencies. While many studies suggest a potential link between the amount of sleep and dementia risk, the outcomes are not yet consistent. This research delved into the relationship between sleep length and bedtime on cognitive abilities using an extensive dataset from the China Family Panel Studies (CFPS) from 2014 to 2020. Methods: Data from 175,702 observations were collected, including cognitive function test data from 22,848 participants. Various cognitive tests were used to assess cognitive function. Restricted cubic spline (RCS) models were used for data analysis. Results: The optimal sleep duration for cognitive function was found to be 6-7 h, and the optimal bedtime was generally between 22:00-23:00. Longitudinal analysis revealed that sleep duration four years prior had a significant impact on current cognitive function. After accounting for various factors, those who slept for 7-8 h and over 8 h displayed lower cognitive function scores. Conversely, individuals sleeping less than 6 h had higher scores on the Vocabulary Test. Bedtime before 22:00 was associated with lower scores on the Vocabulary Test and Mathematical Test. Subgroup analyses based on age, gender, and urban residence showed variations in optimal sleep duration for different populations. Propensity Score Matching (PSM) analysis supported the findings. Conclusions: Maintaining a sleep duration of 6-7 h and a regular bedtime between 22:00-23:00 is important for optimizing cognitive performance.

Magnesium-L-threonate treats Alzheimer's disease by modulating the microbiota-gut-brain axis.

JOURNAL/nrgr/04.03/01300535-202410000-00029/figure1/v/2024-02-06T055622Z/r/image-tiff Disturbances in the microbiota-gut-brain axis may contribute to the development of Alzheimer's disease. Magnesium-L-threonate has recently been found to have protective effects on learning and memory in aged and Alzheimer's disease model mice. However, the effects of magnesium-L-threonate on the gut microbiota in Alzheimer's disease remain unknown. Previously, we reported that magnesium-L-threonate treatment improved cognition and reduced oxidative stress and inflammation in a double-transgenic line of Alzheimer's disease model mice expressing the amyloid-ß precursor protein and mutant human presenilin 1 (APP/PS1). Here, we performed 16S rRNA amplicon sequencing and liquid chromatography-mass spectrometry to analyze changes in the microbiome and serum metabolome following magnesium-L-threonate exposure in a similar mouse model. Magnesium-L-threonate modulated the abundance of three genera in the gut microbiota, decreasing Allobaculum and increasing Bifidobacterium and Turicibacter. We also found that differential metabolites in the magnesium-L-threonate-regulated serum were enriched in various pathways associated with neurodegenerative diseases. The western blotting detection on intestinal tight junction proteins (zona occludens 1, occludin, and claudin-5) showed that magnesium-L-threonate repaired the intestinal barrier dysfunction of APP/PS1 mice. These findings suggest that magnesium-L-threonate may reduce the clinical manifestations of Alzheimer's disease through the microbiota-gut-brain axis in model mice, providing an experimental basis for the clinical treatment of Alzheimer's disease.

Flexible Self-Powered Energy Systems Based on H2 O/Ni2+ Intercalated Nix V2 O5 ⋠nH2 O.

The development of portable electronic devices has created greater demands for multifunctional energy integration systems. Self-powered systems have gained widespread interest because they can collect and storage renewable environmental energy and provide stable electricity to electronic devices. Herein, we developed a flexible self-charging energy system, involving textile-based zinc-ion hybrid (ZIHC) and triboelectric nanogenerator (TENG), which demonstrates wearable, compatibility, lightweight and can quickly harvest and store energy. Nix V2 O5 ⋅ nH2 O (NVO) loaded on carbon cloth (CC) with Ni2+ /H2 O ions intercalated as the cathode was assembled with activated CC to form a ZIHC, which has a voltage range of 2.0 V and capacitance value of 267.1 mF cm-2 as well as good charge and discharge rates and excellent cycling stability. At the same time, the NVO/CC can be assembled with PDMS to form a TENG achieving a maximum instantaneous power of 18.5 mW cm-2 . The device can be flexibly worn over the body to continuously harvest and store biomechanical energy and charge the electronic wristwatch successfully. This work demonstrates great convenience and promising practical applications as sustainable flexible energy system for portable electronic devices.

Characterization of the genomic and transcriptional structure of chicken NRG4 gene.

Neuregulin 4 (NRG4) is an important adipocytokine, which plays crucial roles in maintaining energy balance, regulating glucose and lipid metabolism, and preventing non-alcoholic fatty liver disease in mammals. At present, the genomic organization, transcript and protein isoforms of human NRG4 gene have been fully explored. Previous studies in our laboratory have shown that the NRG4 gene is expressed in chicken adipose tissue, but the chicken NRG4 (cNRG4) genomic structure, transcript and protein isoforms are still unknown. To this end, in this study, the genomic and transcriptional structure of the cNRG4 gene were systematically investigated using rapid amplification of cDNA ends (RACE) and reverse transcription-polymerase chain reaction (RT-PCR). The results showed that the coding region (CDS) of the cNRG4 gene was small, but it had a very complex transcriptional structure characterized by multiple transcription start sites, alternative splicing, intron retention, cryptic exons, and alternative polyadenylation, thus leading to production of four 5?UTR isoforms (cNRG4 A, cNRG4 B, cNRG4 C, and cNRG4 D) and six 3?UTR isoforms (cNRG4 a, cNRG4 b, cNRG4 c, cNRG4 d, cNRG4 e, and cNRG4 f) of the cNRG4 gene. The cNRG4 gene spanned 21,969 bp of genomic DNA (Chr.10:3,490,314~3,512,282) and consisted of 11 exons and 10 introns. Compared with the cNRG4 gene mRNA sequence (NM_001030544.4), two novel exons and one cryptic exon of the cNRG4 gene were identified in this study. Bioinformatics analysis, RT-PCR, cloning and sequencing analysis showed that the cNRG4 gene could encode three protein isoforms (cNRG4-1, cNRG4-2 and cNRG4-3). This study lays a foundation for further research on the function and regulation of the cNRG4 gene.

Selective removal of total Cr from a complex water matrix by chitosan and biochar modified-FeS: Kinetics and underlying mechanisms.

Cr(VI) is difficult to remove from wastewater via a one-step method because it is a type of oxyanion. Developing ARPs to selectively remove total Cr is critical for Cr(VI) remediation, including Cr(VI) adsorption-reduction and Cr(III) complexation. Hereon, chitosan and biochar modified-FeS (CTS-FeS@BC) was prepared to apply in the selective removal of total Cr from wastewaters. The results showed that the activity of amorphous FeS on CTS-FeS@BC for Cr(VI) removal (110.0 mg/g FeS) was significantly enhanced by CTS and BC, and efficiency was inhibited slightly by many anions and humic acid (HA). Meanwhile, the removal of total Cr by CTS-FeS@BC (99.1 mg/g FeS) via ARPs was improved by 1.2 and 40.3 times when compared with CTS-FeS and raw FeS, respectively. Besides, CTS-FeS@BC exhibited an outstanding selectivity for total Cr removal in metal cations-Cr binary solutions and in a complex water matrix. The mechanism of ARPs on CTS-FeS@BC demonstrated by the results of the 1,10-phenanthroline experiment and the distribution of Cr species was that Cr(VI) was first adsorbed by outer-sphere complexation for reduction, and then adsorbed Cr(III) combined with Fe(III) species to generate Fe(III)-Cr(III) complex for total Cr removal. Overall, this study provides an ARP to effectively solve Cr pollution in wastewaters.

MgxCu-biochar activated peroxydisulfate triggers reductive species for the reduction and enhanced electron-transfer degradation of electron-deficient aromatic pollutants.

In wastewater treatment by persulfate-based advanced oxidation processes (PS-AOPs), electron-deficient aromatic pollutants (EDAPs) are refractory to nonradical pathway. To explore an efficient degradation pathway for EDAPs, MgxCu-biochar (BC) (x = 0.5, 1, 1.5) activated peroxydisulfate (PDS) was developed, which could trigger reductive species (•H) to reduce EDAPs first, and subsequently facilitate electron-transfer degradation of reduced intermediates. The roles of Mg-doping in MgxCu-BC to promote PDS activation and 2,4-dibromophenol (DBP) degradation were investigated. The mechanisms were then explored via electron paramagnetic resonance (EPR), chemical probes and Density Functional Theory (DFT) calculations. The results showed that Mg-doping improved metal-support interactions (MSIs) of MgxCu-BC, inducing •H formation via electron transfer from Cu atoms during PDS activation, which was thermodynamically favorable. The degradation rate of DBP (kobs, 0.0494 min-1) and Br- release (5.35 mg L-1) in Mg1Cu-BC systems were more 31 and 33 times than that in Cu-BC/PDS system, respectively. The degradation mechanism of •H-enhanced electron transfer processes was that •H attacked one Br group of DBP, and then debrominated intermediates were mineralized by electron transfer processes in the Mg1Cu-BC/PDS system. Overall, this study reports a novel pathway in PS-AOPs for selective degradation of EDAPs in wastewaters.

Effective degradation of 2,4,4'-trichlorodiphenyl by Fe3C@Fe-800 activated peroxymonosulfate: Superoxide radical and singlet oxygen-dominated advanced oxidation process.

Polychlorinated biphenyls (PCBs) degradation by peroxymonosulfate (PMS) activation through •OH and SO4•- radical oxidation process was the effective technology in the last decades; however, there were few research focusing on removing PCBs by O2•- and 1O2 induced by PMS activation. In this work, 90.86% of 2,4,4-trichlorodiphenyl (PCB 28) was degraded by 0.3 g/L Fe3C@Fe-800 activated 0.5 mM PMS system under the synergistic action of O2•- and 1O2. The structures of Fe3C@Fe-800 were identified by Scanning electron microscope (SEM), High resolution-transmission electron microscopy (HR-TEM), X-ray photoelectron spectroscopy (XPS), Brunauer-Emmett-Teller (BET), Raman spectra and Fourier transform infrared (FT-IR) spectra. Electron paramagnetic resonance (EPR) measurements and quenching tests verified that O2•- and 1O2 were the primary reactive species in Fe3C@Fe-800/PMS/PCB 28 ternary reaction system. Density functional theory (DFT), Linear sweep voltammetry (LSV), and chronoamperometry test revealed that electron-deficient Fe atoms on Fe3C were the main active sites in Fe3C@Fe-800 for PMS activation to generate 1O2. Unlike the reported •OH and SO4•- mediated degradation induced by the iron-based catalyst, both O2•- and 1O2 contributed to PCB 28 degradation： nucleophilic dichlorination reaction by O2•- and then ring-open oxidation process by 1O2. Fe3C@Fe-800/PMS system had excellent catalytic performance under different reaction conditions and possessed desirable inorganic salt and natural organic matter resistance. This work elucidated the important role of Fe3C in PMS activation to generate O2•- and 1O2 for PCB 28 decontamination by nonradical way and provided a clue to design rationally catalysts in polychlorinated biphenyl pollution remediation.

Simultaneous adsorption of As(III) and Pb(II) by the iron-sulfur codoped biochar composite: Competitive and synergistic effects.

Simultaneous elimination of As(III) and Pb(II) from wastewater is still a great challenge. In this work, an iron-sulfur codoped biochar (Fe/S-BC) was successfully fabricated in a simplified way and was applied to the remediate the co-pollution of As(III) and Pb(II). The positive enthalpy indicated that the adsorption in As-Pb co-pollution was an endothermic reaction. The mechanism of As(III) removal could be illustrated by surface complexation, oxidation and precipitation. In addition to precipitation and complexation, the elimination mechanism of Pb(II) also contained ion exchange and electrostatic interactions. Competitive and synergistic effects existed simultaneously in the co-contamination system. The suppression of As(III) was ascribed to competitive complexation of the two metals on Fe/S-BC, while the synergy of Pb(II) was attributed to the formation of the PbFe2(AsO4)2(OH)2. Batch experiments revealed that Fe/S-BC had outstanding ability to remove As(III) and Pb(II), regardless of pH dependency and interference by various coexisting ions. The maximum adsorption capacities of the Fe/S-BC for As(III) and Pb(II) were 91.2 mg/g and 631.7 mg/g, respectively. Fe/S-BC could be treated as a novel candidate for the elimination of As(III)-Pb(II) combined pollution.

Remediation performance and mechanisms of Cu and Cd contaminated water and soil using Mn/Al-layered double oxide-loaded biochar.

The combined pollution of heavy metals is ubiquitous worldwide. Mn/Al-layered double oxide-loaded crab shells biochar (LDO/BC) was prepared, so as to remediate the combined pollution of Cd and Cu in soil and water. The pristine and used LDO/BC were characterized and the results revealed that the layered double oxide was successfully loaded on crab shells biochar (BC) and metal element Ca in crab shells was beneficial to the formation of more regular layered and flake structure. The maximal adsorption capacity (Qm) of LDO/BC for aqueous Cu2+ and Cd2+ was 66.23 and 73.47 mg/g, respectively. LDO/BC and BC were used to remediate e-waste-contaminated soil for the first time and exhibited highly efficient performance. The extraction amount of Cu and Cd in the contaminated soil by diethylene triamine penta-acetic acid (DTPA) after treating with 5% LDO/BC was significantly reduced from 819.84 to 205.95 mg/kg (with passivation rate 74.8%) and 8.46 to 4.16 mg/kg (with passivation rate 50.8%), respectively, inferring that the bioavailability of heavy metals declined remarkably. The experimental result also suggested that after remediation by LDO/BC the exchangeable and weak acid soluble Cu and Cd in soil translated to reducible, residual and oxidizable fraction which are more stable state. Precipitation, complexation and ion exchange were proposed as the possible mechanisms for Cd and Cu removal. In general, these experiment results indicate that LDO/BC can be a potentially effective reagent for remediation of heavy metal contaminated water and soil.

Regulating the exposed crystal facets of α-Fe2O3 to promote Fe2O3-modified biochar performance in heavy metals adsorption.

α-Fe2O3 modified biochar (Fe2O3/BC) was prepared to remove Cu(II), Pb(II) and As(V). By adjusting the calcination temperature, the morphology and exposed crystal facets of α-Fe2O3 on the biochar were changed which further affected the adsorption performance. The kinetics and isotherms were investigated systematically to reveal adsorption effect of the adsorbent on Cu(II), Pb(II) and As(V). The results indicated that chemisorption process was the dominant adsorption mechanism. Fe2O3/BC-350 exhibited superior adsorption capacity for Cu(II) (258.22 mg/g) and Pb(II) (390.60 mg/g), and Fe2O3/BC-250 showed relatively good adsorption capacity for As(V) (5.78 mg/g). By adsorption mechanism analysis, electrostatic adsorption, ion exchange, precipitation and complexation were coexisted in the process of removing metal ions by Fe2O3/BC. The repeatability test and the effect of ion strength exhibited the strong stability of Fe2O3/BC. Meanwhile, density functional theory (DFT) calculations manifested that the (202) facet of α-Fe2O3 on Fe2O3/BC-350 possessed the lowest adsorption energies of Cu(II) and Pb(II). While for As(V), it was the (104) facet of α-Fe2O3 on Fe2O3/BC-250 that exhibited the lowest adsorption energy. DFT results revealed that different Fe2O3/BC had different adsorption affinities to various heavy metals. In general, this work not only prepared a promising adsorbent via a simple procedure, but also served as a reference for researchers in designing absorbents with specific active facet for efficient heavy metals remediation.

Knockout and Restoration Reveal Differential Functional Roles of PPARγ1 and PPARγ2 in Chicken Adipogenesis.

Peroxisome proliferator-activated receptor γ (PPARγ) is the master regulator of adipogenesis and is expressed as two isoforms, PPARγ1 and PPARγ2. Our previous lentiviral overexpression study showed that PPARγ1 and PPARγ2 differentially regulated proliferation, differentiation, and apoptosis of the immortalized chicken preadipocyte cell line (ICP2). However, we cannot rule out the possibility that the endogenous expression of PPARγ isoforms may compromise our findings. In this study, using the dual sgRNA-directed CRISPR/Cas9 system, we generated PPARγ (PPARγ-/-) and PPARγ2-specific knockout (PPARγ2-/-) ICP2 cell lines and investigated the differences in proliferation and differentiation among PPARγ-/-, PPARγ2-/-, and wild-type ICP2 cells. EdU proliferation assay showed that both PPARγ2-specific and PPARγ knockouts significantly increased the proliferation rates. Consistently, real-time RT-PCR analysis showed that both PPARγ2-specific and PPARγ knockouts significantly upregulated the expression of proliferation marker genes PCNA and cyclinD1. FACS analysis revealed that PPARγ knockout significantly increased the number of cells accumulating in the S phase and decreased the number of cells accumulating in the G1/G0 phase. Oil Red O staining and gene expression analysis showed both PPARγ2-specific and PPARγ knockouts dramatically reduced capacity for adipogenic differentiation. To corroborate our previous findings, PPARγ1 and PPARγ2 expression were restored in PPARγ-/- cells by using the lentiviruses expressing chicken PPARγ1 (LV-PPARγ1) and PPARγ2 (LV-PPARγ2), respectively. Subsequent assays showed that restoration of expression of either PPARγ1 or PPARγ2 suppressed proliferation and stimulated differentiation of the PPARγ-/- cells. By comparison, PPARγ2 had stronger anti-proliferative and pro-adipogenic effects than PPARγ1. To understand the molecular mechanism underlying their differential effects on differentiation of the PPARγ-/- cells, we performed RNA-seq in the PPARγ-/- cells in which individual PPARγ isoform expression was restored at 72 h of differentiation. Transcriptomic analysis revealed that restoring PPARγ1 expression caused far more differentially expressed genes (DEGs) than restoring PPARγ2 expression. GO and KEGG pathway enrichment analyses indicated that PPARγ1 and PPARγ2 had distinct and overlapping functions in adipogenesis. Taken together, our results clearly indicate that PPARγ1 and PPARγ2 differentially impact chicken adipogenesis.

Mechanisms and influencing factors for electron transfer complex in metal-biochar nanocomposites activated peroxydisulfate.

The mechanisms and influencing factors for electron transfer complex need to be further studied by comparing radical and nonradical pathways. Herein, metal-biochar (BC) nanocomposites including CuO/BC, Fe3O4/BC and ZnO/BC were prepared to activate peroxydisulfate (PDS) for bisphenol A (BPA) degradation. The existence of electron transfer complex in CuO/BC-PDS system were directly demonstrated. Whereas radical pathway was dominant in Fe3O4/BC- and ZnO/BC-PDS systems for BPA degradation. There was a relationship between PDS adsorption and catalytic reaction. The rate-limiting step for BPA degradation in nonradical pathway was PDS adsorption, but in radical pathway was BPA degradation. Interestingly, among metal-BC, CuO/BC had the most effective performance in transformation of adsorbed PDS to electron transfer complex via out-sphere complexation. After pretreatment by PDS solutions, the separated CuO/BC achieved an efficiency of 60% in ensuing BPA degradation without re-addition of PDS. In addition, the activity of electron transfer complex in BPA degradation (kobs > 0.0480 min-1) was not affected by water matrix (e.g., Cl-, HCO3-, natural organic matter (NOM) and actual water bodies), but affected by solution property (i.e., dissolved oxygen and conductivity) and oxidant species. Moreover, in BPA degradation process, nonradical pathway exhibited lower ecotoxicity instead of radical pathway.

Promotion of the biodegradation of phenanthrene adsorbed on microplastics by the functional bacterial consortium QY1 in the presence of humic acid: Bioavailability and toxicity evaluation.

The adsorption of hydrophobic organic compounds (HOCs) by microplastics (MPs) has attracted great attention in recent years. However, the ultimate environmental fate of the HOCs sorbed on MPs (HOCs-MPs) is poorly understood. In this work, we investigated the potential influence of the biotransformation process on the environmental fate of phenanthrene (PHE, a model HOC) sorbed on MPs (PHE-MPs) under the existence of humic acid (HA, the main ingredient of dissolved organic matter (DOM)) in the aquatic environment. The results indicated that the adsorption behavior of PHE on MPs decreased its bioavailability and thus inhibited its biotransformation efficiency. However, HA significantly promoted the biodegradation rate and percentage of PHE-MPs. This was probably because HA improved the desorption of PHE from MPs, which promoted the acquisition of PHE by bacteria from the aqueous phase. Further, HA dramatically increased the bacterial community diversity and richness and altered the community composition. The richness of some PHE-degrading bacteria, such as Methylobacillus and Sphingomonas, significantly increased, which may also be an important factor for promoting PHE biodegradation. Molecular ecological network analysis implied that HA enhanced the modularity and complexity of bacterial interaction networks, which was beneficial to maintaining the functional stability of the consortium QY1. Besides, HA decreased the cytotoxicity of functional microbes induced by HOCs-MPs. This work broadens our knowledge of the environmental fate of HOCs-MPs and interactions of MPs, HOCs, DOMs and functional microbial consortiums in aqueous environments.

Synergistic removal of Cr(VI) by S-nZVI and organic acids: The enhanced electron selectivity and pH-dependent promotion mechanisms.

The effects of organic acids on hexavalent chromium (Cr(VI)) removal by reduced iron-based materials have been extensively studied. Nevertheless, the promotion mechanism from the perspective of the electron transfer process is still unclear. Herein, sulfidated nanoscale zero-valent iron (S-nZVI) and the selected organic acids, citric acid (containing both -OH and -COOH groups) and oxalic acid (containing only -COOH groups), showed significant synergistic promotion effects in Cr(VI) removal. The FeS and FeS2 on S-nZVI surface could enhance the Cr(VI) reduction as the reductive entity and electron conductor. Furthermore, even though the reactivity of FeS with Cr(VI) is higher than that with FeS2, the Cr(VI) removal efficiency by FeS2 was much higher than that by FeS with organic acids. Under neutral and alkaline conditions (pH 6.0-8.0), organic acids promoted the diffusion, adsorption and complexation of Cr(VI) on S-nZVI surface, thus enhancing the electron selectivity towards Cr(VI). However, when the solution pH changed to acidic conditions (pH 4.0), organic acids facilitated the dissolution of Fe(II) ions from S-nZVI and enhanced the electron utilization towards Cr(VI) via the fast Fe(III) reduction process. This study provided a new insight into the Cr(VI) removal, which was beneficial to understand the application boundaries of S-nZVI for Cr(VI) remediation.

Identification of candidate genes associated with clinical onset of Alzheimer's disease.

Background and objective: Alzheimer's disease (AD) is the most common type of dementia, with its pathology like beta-amyloid and phosphorylated tau beginning several years before the clinical onset. The aim is to identify genetic risk factors associated with the onset of AD. Methods: We collected three microarray data of post-mortem brains of AD patients and the healthy from the GEO database and screened differentially expressed genes between AD and healthy control. GO/KEGG analysis was applied to identify AD-related pathways. Then we distinguished differential expressed genes between symptomatic and asymptomatic AD. Feature importance with logistic regression analysis is adopted to identify the most critical genes with symptomatic AD. Results: Data was collected from three datasets, including 184 AD patients and 132 healthy controls. We found 66 genes to be differently expressed between AD and the control. The pathway enriched in the process of exocytosis, synapse, and metabolism and identified 19 candidate genes, four of which (VSNL1, RTN1, FGF12, and ENC1) are vital. Conclusion: VSNL1, RTN1, FGF12, and ENC1 may be the essential genes that progress asymptomatic AD to symptomatic AD. Moreover, they may serve as genetic risk factors to identify high-risk individuals showing an earlier onset of AD.

CIR-Net: Automatic Classification of Human Chromosome Based on Inception-ResNet Architecture.

BACKGROUND: In medicine, karyotyping chromosomes is important for medical diagnostics, drug development, and biomedical research. Unfortunately, chromosome karyotyping is usually done by skilled cytologists manually, which requires experience, domain expertise, and considerable manual efforts. Therefore, automating the karyotyping process is a significant and meaningful task. METHOD: This paper focuses on chromosome classification because it is critical for chromosome karyotyping. In recent years, deep learning-based methods are the most promising methods for solving the tasks of chromosome classification. Although the deep learning-based Inception architecture has yielded state-of-the-art performance in the 2015 ILSVRC challenge, it has not been used in chromosome classification tasks so far. Therefore, we develop an automatic chromosome classification approach named CIR-Net based on Inception-ResNet which is an optimized version of Inception. However, the classification performance of origin Inception-ResNet on the insufficient chromosome dataset still has a lot of capacity for improvement. Further, we propose a simple but effective augmentation method called CDA for improving the performance of CIR-Net. RESULTS: The experimental results show that our proposed method achieves 95.98 percent classification accuracy on the clinical G-band chromosome dataset whose training dataset is insufficient. Moreover, the proposed augmentation method CDA improves more than 8.5 percent (from 87.46 to 95.98 percent) classification accuracy comparing to other methods. In this paper, the experimental results demonstrate that our proposed method is recent the most effective solution for solving clinical chromosome classification problems in chromosome auto-karyotyping on the condition of the insufficient training dataset. Code and Dataset are available at https://github.com/CloudDataLab/CIR-Net.

Role of sulfide-modified nanoscale zero-valent iron on carbon nanotubes in nonradical activation of peroxydisulfate.

Sulfamethoxazole (SMX) is highly persistent and difficult to remove, making it urgent to find an efficient method for alleviating the enormous environmental pressure of SMX. In this study, sulfide-modified nanoscale zero-valent iron on carbon nanotubes (S-nZVI@CNTs) was prepared to activate peroxydisulfate (PDS) for the degradation of SMX. The results showed that SMX was completely removed within 40 min (kobs=0.1058 min-1) in the S-nZVI@CNTs/PDS system. By analyzing quenching experiments and electron paramagnetic resonance (EPR), singlet oxygen (1O2) was the main active species of the S-nZVI@CNTs/PDS system. 1O2 might be mediated by the abundant carbonyl groups (CO) on carbon nanotubes through spectroscopic analyses. In addition, sulfur doping transitioned the activation pathway to a nonradical pathway. Spectroscopic analyses and electrochemical experiments confirmed that the formation of CNTs-PDS complexes and S-nZVI could promote electron transfer on the catalyst surface. Furthermore, the main degradation intermediates of SMX were identified, and five possible transformation pathways were proposed. The S-nZVI@CNTs/PDS system possessed advantages including high anti-interference (Cl-, NO3-, HA), a strong applicability, recyclability and a low PDS consumption, offering new insight into the degradation of antibiotic wastewater.

Carbon materials in persulfate-based advanced oxidation processes: The roles and construction of active sites.

Many researchers have paid more attention to the progress of carbon materials owing to their advantages, such as high activity, low cost, large surface area, high conductivity and high stability. Carbon materials have been widely used in persulfate-based advanced oxidation processes (PS-AOPs), especially for graphene (G), carbon nanotubes (CNTs) and biochar (BC). Various strategies are applied to promote their activity, however, up to now, the relationship between the structures of carbon materials and their activities in PS-AOPs has not been specifically reviewed. The methods to switch reaction pathway (radical and nonradical pathways) in carbon-persulfate-based AOPs have not been systematically explored. Hereon, this review illustrated the active sites of G, CNTs, BC and other carbon materials, and generalized the modification methods to promote the activity of carbon materials and to switch reaction pathway in PS-AOPs. The roles of carbon materials in PS-AOPs were discussed around reactive oxygen species (ROS) and the structures. ROS are frequently complex in AOPs, but main ROS generation is related to the active sites on carbon materials. The structures of carbon materials (e.g., metal-carbon bonds, the electron-deficient C atoms, unbalanced electron distribution and graphitized structures) play a decisive role in the nonradical pathway. Finally, future breakthroughs of carbon materials were proposed for practical engineering and multi-field application.

EEG-based Major Depressive Disorder Detection Using Data Mining Techniques.

Major depressive disorder (MDD) is a common mental illness characterized by a persistent feeling of low mood, sadness, fatigue, despair, etc.. In a serious case, patients with MDD may have suicidal thoughts or even suicidal behaviors. In clinical practice, a widely used method of MDD detection is based on a professional rating scale. However, the scale-based diagnostic method is highly subjective, and requires a professional assessment from a trained staff. In this work, 92 participants were recruited to collect EEG signals in the Shenzhen Traditional Chinese Medicine Hospital, assessing MDD severity with the HAMD-17 rating scale by a trained physician. Two data mining methods of logistic regression (LR) and support vector machine (SVM) with derived EEG-based beta-alpha-ratio features, namely LR-DF and SVM-DF, are employed to screen out patients with MDD. Experimental results show that the presented the LR-DF and SVM-DF achieved F 1 scores of 0:76 0:30 and 0:92 0:18, respectively, which have obvious superiority to the LR and SVM without derived EEG-based beta-alpha-ratio features.

An Empirical Study of Training Data Selection Methods for Ranking-Oriented Cross-Project Defect Prediction.

Ranking-oriented cross-project defect prediction (ROCPDP), which ranks software modules of a new target industrial project based on the predicted defect number or density, has been suggested in the literature. A major concern of ROCPDP is the distribution difference between the source project (aka. within-project) data and target project (aka. cross-project) data, which evidently degrades prediction performance. To investigate the impacts of training data selection methods on the performances of ROCPDP models, we examined the practical effects of nine training data selection methods, including a global filter, which does not filter out any cross-project data. Additionally, the prediction performances of ROCPDP models trained on the filtered cross-project data using the training data selection methods were compared with those of ranking-oriented within-project defect prediction (ROWPDP) models trained on sufficient and limited within-project data. Eleven available defect datasets from the industrial projects were considered and evaluated using two ranking performance measures, i.e., FPA and Norm(Popt). The results showed no statistically significant differences among these nine training data selection methods in terms of FPA and Norm(Popt). The performances of ROCPDP models trained on filtered cross-project data were not comparable with those of ROWPDP models trained on sufficient historical within-project data. However, ROCPDP models trained on filtered cross-project data achieved better performance values than ROWPDP models trained on limited historical within-project data. Therefore, we recommended that software quality teams exploit other project datasets to perform ROCPDP when there is no or limited within-project data.