Effect of Magnesian-Expansive Components in Steel Slag on the Volume Stability of Cement-Based Materials.

Millimeter-scale magnesian refractory granules were found to be a unique magnesian-expansive component in steel slag. To systematically study the effects of these granular magnesian-expansive components on the volume stability of cement-based materials containing steel slag, an investigation of their existing forms and influence on the volume stability was conducted in this paper. The various-sizing waste-magnesium-chromate-based refractory brick (Mg-Cr brick) granules and different (FeO + MnO)/MgO ratios' synthetic MgO·xFeO·yMnO ternary solid solutions granules were adopted to simulate magnesian-expansive granules by partially replacing manufactured sand in mortar. The 100 °C-3 h boiling and 213 °C-2 MPa-3 h autoclaving treatments were adopted as volume stability testing methods. The results indicated that whether Mg-Cr brick or MgO·xFeO·yMnO solid solution, the concentration of expansive stress and the anisotropy expansion came with the granular size rising weakening the volume stability of cement-based materials which contained magnesian-expansive granules, significantly. Meanwhile, this phenomenon resulted in the ineffectiveness of the single linear expansion rate when assessing the qualification of volume stability. Furthermore, it also changed the mortars' failure mode from "muddy damage" to "break into blocks". Especially, there is no volume stability issue when the MgO·xFeO·yMnO satisfied (FeO + MnO)/MgO ≥ 1.00. Considering the significant effect of the granular magnesian-expansive components on the volume stability of cement-based materials containing steel slag, it is imperative to enhance the detection of both MgO content and mineral existing forms in steel slag in practical applications. For recommendation, the threshold value of conducting autoclaved volume stability testing on steel slag should be set at MgO ≥ 3%. Furthermore, the qualification cannot be judged by the single linear expansion rate; the specimens' appearance integrity and strength loss should also be noted.

The Three-Lead EEG Sensor: Introducing an EEG-Assisted Depression Diagnosis System Based on Ant Lion Optimization.

For depression diagnosis, traditional methods such as interviews and clinical scales have been widely leveraged in the past few decades, but they are subjective, time-consuming, and labor-consuming. With the development of affective computing and Artificial Intelligence (AI) technologies, Electroencephalogram (EEG)-based depression detection methods have emerged. However, previous research has virtually neglected practical application scenarios, as most studies have focused on analyzing and modeling EEG data. Furthermore, EEG data is typically obtained from specialized devices that are large, complex to operate, and poorly ubiquitous. To address these challenges, a wearable three-lead EEG sensor with flexible electrodes was developed to obtain prefrontal-lobe EEG data. Experimental measurements show that the EEG sensor achieves promising performance (background noise of no more than 0.91 µVpp, Signal-to-Noise Ratio (SNR) of 26--48 dB, and electrode-skin contact impedance of less than 1 K Ω). In addition, EEG data from 70 depressed patients and 108 healthy controls were collected using the EEG sensor, and the linear and nonlinear features were extracted. The features were then weighted and selected using the Ant Lion Optimization (ALO) algorithm to improve classification performance. The experimental results show that the k-NN classifier achieves a classification accuracy of 90.70%, specificity of 96.53%, and sensitivity of 81.79%, indicating the promising potential of the three-lead EEG sensor combined with the ALO algorithm and the k-NN classifier for EEG-assisted depression diagnosis.

Spatial differentiation and scenario simulation of cultivated land in mountainous areas of Western Hubei, China: a PLUS model.

A useful spatial pattern of cultivated land utilization in mountainous areas is a basic prerequisite for promoting efficient utilization of cultivated land and has a practical use for ensuring regional food security and rural revitalization. In this paper, we use Enshi and Lichuan cities as case studies and the PLUS model to analyze the spatial differentiation characteristics of cultivated land from 2000 to 2020. In addition, we simulated the spatial pattern of cultivated land in 2030 concerning the ecological priority scenario (scenario I) and the ecological and economic coordination scenario (scenario II). The results show that (1) the degree of cultivated land fragmentation from 2000 to 2020 is characterized as "high in the east and low in the west," and the spatial aggregation of cultivated land decreases slightly over time and that there is a risk of increasing fragmentation of cultivated land in the future. (2) The complexity of cultivated land shape shows a fluctuating decrease between 2000 and 2030, and an overall trend of landscape homogenization. (3) The spatial distribution of cultivated land is concentrated in the peak cluster depressions and river valleys. The imbalance in the distribution of cultivated land has increased in the past two decades which should be curbed in the future. (4) In 2030, concerning the ecological priority development scenario, cultivated land use tends to evolve in the direction of balanced distribution and a relatively complex shape. (5) Concerning the coordinated ecological and economic development scenario, the spatial aggregation of cultivated land is higher and the patches of cultivated land are more regular, but the distribution imbalance is more serious. The results can provide scientific references for sustainable and effective use of cultivated land in mountainous areas.

Are gossipers looked down upon? A norm-based perspective on the relation between gossip and gossiper status.

While some scholars regard workplace gossip as norm-violating behavior that costs gossipers status, others suggest that gossip clarifies organizational norms and thereby increases gossiper status. Integrating gossip literature with norm research, we develop a model to distinguish positive gossip from negative gossip and theorize their independent and joint effects on gossiper workplace status via peers' perceptions of norm violation and norm clarification-two concurrent but countervailing mechanisms. We hypothesize that positive gossip relates positively to norm clarification perceptions but negatively to norm-violation perceptions, whereas negative gossip relates positively to both norm clarification and norm-violation perceptions. Interactively, positive gossip weakens the norm-violation effects of negative gossip on gossiper status, and each type of gossip replaces the norm clarification effects of the other type of gossip on gossiper status. These hypotheses were largely supported in a 2 × 2 between-subjects experiment with 345 full-time employees (Study 1), a three-wave field survey with data from 192 full-time employees (Study 2), and a round-robin field survey with data from 287 focal employees and 1,075 of their team members embedded in 87 teams (Study 3). Three additional studies reported in the supplementary materials revealed contingencies of the hypotheses: The hypotheses received support with a different experimental manipulation (Study 4), and the hypothesized norm-violation effect of negative gossip was not contingent on gossip content (target's self-serving vs. nonself-serving behavior, Study 5) but gossip intention such that the effect became nonsignificant when gossip intention was group-serving (cf. self-serving, Study 6). (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A multi-modal open dataset for mental-disorder analysis.

According to the WHO, the number of mental disorder patients, especially depression patients, has overgrown and become a leading contributor to the global burden of disease. With the rising of tools such as artificial intelligence, using physiological data to explore new possible physiological indicators of mental disorder and creating new applications for mental disorder diagnosis has become a new research hot topic. We present a multi-modal open dataset for mental-disorder analysis. The dataset includes EEG and recordings of spoken language data from clinically depressed patients and matching normal controls, who were carefully diagnosed and selected by professional psychiatrists in hospitals. The EEG dataset includes data collected using a traditional 128-electrodes mounted elastic cap and a wearable 3-electrode EEG collector for pervasive computing applications. The 128-electrodes EEG signals of 53 participants were recorded as both in resting state and while doing the Dot probe tasks; the 3-electrode EEG signals of 55 participants were recorded in resting-state; the audio data of 52 participants were recorded during interviewing, reading, and picture description.

High-speed ocular artifacts removal of multichannel EEG based on improved moment matching.

Objective. The excellent signal-to-noise ratio (SNR) is the premise of electroencephalogram (EEG) research and applications. This study aims to use innovative method to swiftly remove the ocular artifacts (OAs) from multichannel EEG to enhance the SNR.Approach.The moment matching method which is prevalently used to removing stripe noise from hyperspectral images is adapted and improved to deduct OAs from EEG. This modified approach regards sampling points of multichannel EEG as pixels in images. It utilizes the propagation characteristics of EEG to correct the potential shift caused by OAs.Main results. By using mathematical derivation and empirical corroboration, the results suggest that the improved moment matching (IMM) is capable of reducing OAs effectively and reserving the EEG waveform information on the greatest extent compared to existing methods, such as independent component analysis (ICA) and second-order blind identification. In the frontal region heavily affected by OAs, the SNR increased by 138.1% compared with ICA, the whole SNR increased by an average of 58.7%. Moreover, low latency superiority is provided for real-time and offline processing. IMM is effective for OAs removal and it is helpful to improve SNR of multichannel EEG.Significance. IMM affords option offering preponderance for enhancement of SNR of multichannel EEG.

Good or Bad? The Ambivalent Leader-Follower Relationships.

Researchers have emphasized the positive and negative influences of ambivalent leader-follower relationships, but it is not clear when the ambivalent relationship is associated with good or bad influences. To answer this question, we reviewed the definition and identified 10 different types of ambivalent leader-follower relationships. Further, we demonstrate that the negative outcomes (more inflexibility, disengagement, and worse performance) can be explained by the workplace stressor perspective, and that the positive outcomes (more flexibility, engagement, and better performance) can be explained by paradox view. Finally, drawing from conservation of resources (COR) theory, we integrate workplace stressor framework and the paradox view to address when the ambivalent leader-follower relationship is beneficial or detrimental for followers. We proposed that the degree of ambivalence, support from the third party, and integrative complexity of follower will influence the possible positive or negative influences. Limitations and future directions were also discussed.

A novel model for extrapleural cavity metastasis assessment in patients with lung cancer.

Aim: To investigate the clinical value of tumor markers in extrapleural tumor metastasis assessment of newly diagnosed lung cancer patients. Materials & methods: This study retrospectively analyzed 306 patients diagnosed with lung cancer accompanied by tumor metastasis. Patients were grouped into extrapleural tumor metastasis and intrapleural tumor metastasis. Seven serum tumor markers were included for analysis. Results: The area under curves of receiver operating characteristic curve based on binning decision tree algorithm were above 0.8 in both training and validation sets. A scorecard with a score below 3 suggested extrapleural tumor metastasis in newly diagnosed lung cancer patients. Conclusion: The serum tumor marker-derived model is a convenient and fast approach for extrapleural cavity metastasis assessment, which may provide positive implications in newly diagnosed lung cancer patients.

Association between gene promoter methylation of the one-carbon metabolism pathway and serum folate among patients with hyperhomocysteinemia.

AIM: Age and lower folate concentrations are well-known risk factors for cardiovascular disease (CVD), but the potential roles of age and folate deficiency in hyperhomocysteinemia (HHcy), especially in HHcy patients with abnormal methylation levels of key enzyme genes promoter in homocysteinemia (Hcy) pathway, have not been thoroughly evaluated. The purpose of this study was to evaluate the relationship between the promoter methylation levels of six key enzyme genes and age and serum folate level to better understand the pathogenesis of HHcy. METHODS: In 299 HHcy patients, six key enzyme genes promoter methylation was analyzed by PCR amplification and MethylTargetTM methods. RESULTS: The betaine homocysteine methyltransferase (BHMT), Cystathionine ß-synthase (CBS), and Methionine synthasegene (MTR) promoter methylation levels were positively associated with age and a negative correlation was found between CBS promoter methylation level and folate levels. However, these associations were not significant after Bonferroni correction. The stratified analysis showed that the methylation level of CBS gene promoter was positively correlated with age in males, and a positive correlation was also found between BHMT gene promoter methylation level and age in HHcy patients with a history of diabetes or hypertension. Moreover, stratified analysis according to sex revealed that the methylation levels of three CpG regions of BHMT_2, CBS_2, and CBS_3 were positively correlated with age in males after Bonferroni correction. CONCLUSIONS: Our data suggested that age and folate deficiency may increase the risk of HHcy by mediating methylation of the promoter regions of key enzyme genes in the one-carbon metabolism pathway.

Identifying gene-environment interactions on the efficacy of folic acid therapy for hyperhomocysteinemia based on prediction model.

Various genetic and environmental factors or their interactions may result in the failure of folic acid therapy for hyperhomocysteinemia (HHcy). We hypothesized that an optimal predictive model of gene-environment interactions could be constructed to predict the efficacy of folic acid therapy in HHcy. A prospective cohort study of 638 HHcy patients was performed. The patients were treated with oral folic acid (5 mg/d) for 90 days. We used conditional inference tree model to stratify the failure risk of folic acid therapy synthesizing information from a weighted genetic risk score (wGRS) and environmental exposures, simultaneously interpreting the gene-environment interaction network in predicting the efficacy of HHcy. We detected high-order interactions between medical history of stroke, coronary heart disease (CHD), wGRS, and baseline total homocysteine (tHcy) on the failure risk of folic acid therapy. The wGRS in fourth quartile had 3.73-fold increased failure risk of folic acid treatment (odds ratio = 3.73, 95% confidence interval: 1.47-9.45). Stroke was identified as the key discriminator among the variables examined. A total of 3.3% of participants in failure group were at the lowest failure risk of folic acid therapy (nonstroke, non-CHD, baseline tHcy ≤ 31.1 µmol/L, wGRS ≤ 1.05). Individuals with stroke but with wGRS > 1.05 were at the highest failure risk of folic acid therapy (91.0% of participants in failure group). Medical history of stroke, CHD, wGRS, and baseline tHcy were consistently identified as significant risk factors for the failure risk of folic acid therapy. The multiple interactions between genetic and environmental factors can be visually presented via the conditional inference tree model.

Evidence of rotavirus vaccine impact in sub-Saharan Africa: Systematic review and meta-analysis.

BACKGROUND: Over 34 countries in Africa have introduced rotavirus vaccine to their national immunization programs: monovalent (Rotarix®, RV1) and pentavalent (RotaTeq®, RV5) after South Africa introduced it in 2009. Since then several studies assessing the impact of the vaccine have been conducted. The principal aim of this study was to evaluate the impact of rotavirus vaccine in sub-Saharan Africa. METHODS: A Literature search was performed using Mendeley, PubMed, ScienceDirect, grey literature and Web of Science databases of published studies from January 1, 2017, as years of recent publications on rotavirus vaccine impact in sub-Saharan Africa. A meta-analysis was conducted for rotavirus infection in children under 5 years using proportions of pre and post-vaccine introduction in these populations. Random-effect estimates were considered since the samples were from universal populations. RESULTS: Out of the 935 articles identified, 17 studies met the inclusion for systematic review and meta-analysis. The pooled proportion for pre-vaccination period was 42%, 95% (CI: 38-46%), and reduced to 21%, 95% (CI: 17-25%) during post-vaccination period. Rotavirus diarrhea significantly reduced in children < 12 months as compared to children 12-24 months old. Seasonal peaks of rotavirus diarrhea were between June-September. However, data is limited to one year of post-vaccine introduction, and bias may present due to early vaccine impact. CONCLUSION: We observed that the introduction of the rotavirus vaccine was partly responsible for the significant reduction in the burden of rotavirus-associated diarrhea in sub-Saharan Africa. Therefore, there is a need to encourage the remaining countries to introduce the vaccine to their routine national immunization programs.

Association of genetic and epigenetic variants in one-carbon metabolism gene with folate treatment response in hyperhomocysteinaemia.

BACKGROUND: Folate supplementation treatment is the first-line therapy in hyperhomocysteinaemia (HHcy). Up to 40% of HHcy patients do not benefit from folate therapy. Genetic and epigenetic factors of one-carbon metabolism (1-CM) might be identified as a predictor of folate supplementation treatment response. In the present study, we attempt to identify whether genetic and epigenetic factors might predict folate treatment response. METHODS: A total of 230 patients with HHcy were involved in this prospective cohort study. Differences between baseline concentrations and concentrations obtained at 90 days of treatment were calculated to evaluate the treatment response. General linear models and Pearson correlation was used to explore associations among single-nucleotide polymorphisms (SNPs), DNA methylation, and folate treatment response. Finally, mediation analysis was performed to investigate whether DNA methylation of MTRR mediates the association between SNPs and treatment response. RESULTS: MTHFD rs1950902 and MTRR rs162036, rs1801394 was associated with the folate treatment response (P = 0.000, 0.048, and 0.043, respectively). CBS and CBS_2 DNA methylation was significantly associated with folate treatment response (P = 0.0009 and < 0.001). DNA methylation of MTHFR, MTR, and MTRR was also significantly associated with folate treatment response (P < 0.001). DNA methylation of MTRR and MTRR_1 mediated 40.71% and 40.47% of the effect of rs1801394 on folate treatment response, respectively. CONCLUSIONS: Our results indicated that the 1-CM gene SNPs and DNA methylation was associated with folate treatment response and can be further evaluated relationship between SNPs and DNA methylation in 1-CM with treatment response in a larger sample.

Associations of MTRR A66G polymorphism and promoter methylation with ischemic stroke in patients with hyperhomocysteinemia.

BACKGROUND: Patients with hyperhomocysteinemia (HHcy) have a higher risk of developing ischemic stroke (IS). The association between MTRR A66G polymorphism and promoter methylation with IS in patients with HHcy is also uncertain. The present study aimed to investigate the association between the MTRR polymorphism and methylation with IS in HHcy patients. METHODS: This case-control study included a total of 304 HHcy patients (95 with IS and 209 without IS). Multivariate logistic regression analyses were applied to explore the association between MTRR polymorphism and classical atherothrombotic risk factors with the risk of IS. RESULTS: The log-additive and dominant models were markedly different in participants with IS compared to the control group (p = 0.031 and 0.016, respectively). The log-additive and dominant showed a significant association with IS in the low level plasma homocysteine groups (p = 0.024 and 0.014, respectively). No significant difference of methylation between IS and without IS group (p > 0.05). Patients with high plasma homocysteine had a 4.041-4.941 fold higher risk of IS (p = 0.01, 0.016 and 0.041, respectively) compared to the low plasma homocysteine group. Age, diabetes, hypertension and plasma homocysteine were the risk factors for IS in patients with HHcy (p = 0.033, 0.000, 0.001 and 0.038, respectively). CONCLUSIONS: MTRR A66G polymorphism and an elevated plasma plasma homocysteine level were significantly associated with an increased risk of IS in patients with HHcy. Age, diabetes, hypertension and Hcy were all found to be associated with IS.

CBS gene polymorphism and promoter methylation-mediating effects on the efficacy of folate therapy in patients with hyperhomocysteinemia.

BACKGROUND: A decrease in cystathionine beta-synthase (CBS) enzyme activity could lead to hyperhomocysteinemia (HHcy). Studies have revealed that DNA methylation has a mediating effect on the development of diseases. The present study aimed to explore CBS promoter methylation-mediating effects on the efficacy of folate treatment for HHcy. METHODS: HHcy patients were treated with folate (5 mg/day) for 90 days and then divided into a failure group (Hcy ≥ 15 µmol/l) and a success group (Hcy < 15 µmol/l) according to post-treatment plasma Hcy levels. Genotyping of CBS gene (rs2851391 and rs706209) in patients (n = 638) was detected using a MassArray system (Sequenom, San Diego, CA, USA). The baseline DNA methylation levels of patients (n = 299) were detected using MethylTarget™ technology (Genesky Biotechnologies Inc., Shanghai, China). RESULTS: The CBS rs2851391 TC + CC genotype was related to a 57% reduction of failure risk in HHcy treatment compared to the TT genotype (95% confidence interval [CI] = 0.19-0.97). The CBS rs706209 CT + TT genotype had a 2.97-fold increased risk of failure to treatment compared to the CC genotype (95% CI = 1.52-5.80). After adjustment for confounding factors, the odds ratio (95% CI) for the risk of failure in HHcy treatment in total and male patients was 0.55 (0.32-0.93) and 0.34 (0.16-0.69), respectively, for patients with higher methylation levels (≥ methylation median). Additionally, baseline CBS promoter methylation mediated 33.39% of the effect of rs2851391 on the efficacy of folate treatment for HHcy (ACME [average causal mediation effects]: -0.05, 95% CI = -0.11 to 0.00, p = 0.046). CONCLUSIONS: The present study indicates that CBS gene polymorphism and promoter methylation could affect the efficacy of HHcy. There were potentially causal effects of genetic, epigenetic variations at the CBS rs2851391 locus on the efficacy of HHcy therapy with folate.

Management of imported malaria cases and healthcare institutions in central China, 2012-2017: application of decision tree analysis.

BACKGROUND: Imported malaria has been an important challenge for China. Fatality rates from malaria increased in China, particularly in Henan Province, primarily due to malpractice and misdiagnoses in healthcare institutions, and the level of imported malaria. This study aims to investigate the relationship between the state of diagnosis and subsequent complications among imported malaria cases at healthcare institutions, based on malaria surveillance data in Henan Province from 2012 to 2017. METHODS: A retrospective descriptive analysis was performed using data from the Centre for Disease Control and Prevention, Zhengzhou City, the capital of Henan Province. A decision tree method was exploited to provide valuable insight into the correlation between imported malaria cases and healthcare institutions. RESULTS: From 2012 to 2017, there were 371 imported malaria cases, mostly in males aged between 20 and 50 years, including 319 Plasmodium falciparum cases. First visits of 32.3%, 19.9% and 15.9% malaria cases for treatment were to provincial, municipal and county healthcare institutions, respectively. The time interval between onset and initial diagnosis of 284 cases (76.5%) and the time interval between initial diagnosis and final diagnosis of 197 cases (53.1%) was no more than 72 h. An apparent trend was found that there were notably fewer patients misdiagnosed at first visit to healthcare institutions of a higher administrative level; 12.5% of cases were misdiagnosed in provincial healthcare institutions compared to 98.2% in private clinics, leading to fewer complications at healthcare institutions of higher administrative level due to correct initial diagnosis. In the tree model, the rank of healthcare facilities for initial diagnosis, and number of days between onset and initial diagnosis, made a major contribution to the classification of initial diagnosis, which subsequently became the most significant factor influencing complications developed in the second tree model. The classification accuracy were 82.2 and 74.1%, respectively for the tree models of initial diagnosis and complications developed. CONCLUSION: Inadequate seeking medical care by imported malaria patients, and insufficient capacity to diagnose malaria by healthcare institutions of lower administrative level were identified as major factors influencing complications of imported malaria cases in Henan Province. The lack of connection between uncommon imported malaria cases and superior medical resources was found to be the crucial challenge. A web-based system combined with WeChat to target imported malaria cases was proposed to cope with the challenge.

Genetic and epigenetic regulation of BHMT is associated with folate therapy efficacy in hyperhomocysteinaemia.

BACKGROUND AND OBJECTIVES: Hyperhomocysteinaemia (HHcy) is an independent risk factors for several disorders, including cardiovascular disease. The understanding of the relationship among genetic, epigenetic and the efficacy of folate therapy for HHcy remain unclear. This study aim to investigate whether betaine-homocysteine methyltransferase (BHMT) single-nucleotide polymorphisms (SNPs) and DNA methylation are related to the efficacy of folate therapy for HHcy and whether BHMT DNA methylation mediates the SNP-folate therapy efficacy association. METHODS AND STUDY DESIGN: A total of 638 patients with HHcy were involved in this prospective cohort study. Logistic and linear regression was used to explore associations among SNPs, DNA methylation, and folate therapy efficacy. Finally, mediation analysis was performed to investigate whether DNA methylation of BHMT mediates the association between SNPs and folate therapy efficacy. RESULTS: BHMT rs3733890 was significantly associated with folate therapy efficacy (p<0.05). BHMT and BHMT_1 DNA methylation level was significantly associated with folate therapy efficacy (p=0.017 and p=0.028). DNA methylation of BHMT and BHMT_1 mediated 34.84% and 33.06% of the effect of rs3733890 on folate therapy efficacy, respectively. CONCLUSIONS: There has a consistent interrelationship among BHMT genetic variants, methylation levels of BHMT, and folate therapy efficacy. BHMT and BHMT_1 DNA methylation proportionally mediated the effects of rs3733890 SNPs on the efficacy of folate therapy for HHcy.

Association between BHMT and CBS gene promoter methylation with the efficacy of folic acid therapy in patients with hyperhomocysteinemia.

Both betaine homocysteine methyltransferase (BHMT) and cystathionine ß-synthase (CBS) are major enzymes in the metabolism of plasma homocysteine (Hcy). Abnormal methylation levels of BHMT and CBS are positively associated with Hcy levels. The present study is performed to explore the association between the methylation levels in the promoter regions of the BHMT and CBS genes and the efficacy of folic acid therapy in patient with hyperhomocysteinemia (HHcy). A prospective cohort study recruiting HHcy (Hcy ≥ 15 µmol/L) patients was performed. The subjects were treated with oral folic acid (5 mg/d) for 90 days, and the patients were divided into the success group (Hcy < 15 µmol/L) and the failure group (Hcy ≥ 15 µmol/L) according to their Hcy levels after treatment. In the logistic regression model with adjusted covariates, the patients with lower total methylation levels in the BHMT and CBS promoter regions exhibited 1.627-fold and 1.671-fold increased risk of treatment failure compared with higher methylation individuals, respectively. Similarly, subjects who had lower methylation levels (

Prediction model for the efficacy of folic acid therapy on hyperhomocysteinaemia based on genetic risk score methods.

No risk assessment tools for the efficacy of folic acid treatment for hyperhomocysteinaemia (HHcy) have been developed. We aimed to use two common genetic risk score (GRS) methods to construct prediction models for the efficacy of folic acid therapy on HHcy, and the best gene-environment prediction model was screened out. A prospective cohort study enrolling 638 HHcy patients was performed. We used a logistic regression model to estimate the associations of two GRS methods with the efficacy. Performances were compared using area under the receiver operating characteristic curve (AUC). The simple count genetic risk score (SC-GRS) and weighted genetic risk score (wGRS) were found to be independently associated with the efficacy of folic acid treatment for HHcy. Using the SC-GRS, per risk allele increased with a 1·46-fold increased failure risk (P < 0·001) after adjustment for traditional risk factors, including age, sex, BMI, smoking, alcohol consumption, history of diabetes, history of hypertension, history of hyperlipidaemia, history of stroke and history of CHD. When used the wGRS, the association was strengthened (OR = 2·08, P < 0·001). Addition of the SC-GRS and wGRS to the traditional risk model significantly improved the predictive ability by AUC (0·859). A precise gene-environment predictive model with good performance was developed for predicting the treatment failure rate of folic acid therapy for HHcy.

Effects of Co-Processing Sewage Sludge in the Cement Kiln on PAHs, Heavy Metals Emissions and the Surrounding Environment.

To understand the effects of co-processing sewage sludge in the cement kiln on non-criterion pollutants emissions and its surrounding environment, the flue gas from a cement kiln stack, ambient air and soil from the background/downwind sites were collected in the cement plant. Polycyclic aromatic hydrocarbons (PAHs) and heavy metals of the samples were analyzed. The results show that PAHs in flue gas mainly exist in the gas phase and the low molecular weight PAHs are the predominant congener. The co-processing sewage sludge results in the increase in PAHs and heavy metals emissions, especially high molecular weight PAHs and low-volatile heavy metals such as Cd and Pb in the particle phase, while it does not change their compositions and distribution patterns significantly. The concentrations and their distributions of the PAHs and heavy metals between the emissions and ambient air have a positive correlation and the co-processing sewage sludge results in the increase of PAHs and heavy metals concentrations in the ambient air. The PAHs concentration level and their distribution in soil are proportional to those in the particle phase of flue gas, and the co-processing sewage sludge can accelerate the accumulation of the PAHs and heavy metals in the surrounding soil, especially high/middle molecular weight PAHs and low-volatile heavy metals.

Abstinent Heroin Addicts Tend to Take Risks: ERP and Source Localization.

Abnormal decision making is a behavioral characteristic of drug addiction. Indeed, drug addicts prefer immediate rewards at the expense of future interests. Assessing the neurocognitive basis of decision-making related to drug dependence, combining event-related potential (ERP) analysis and source localization techniques, may provide new insights into understanding decision-making deficits in drug addicts and further guide withdrawal treatment. In this study, EEG was performed in 20 abstinent heroin addicts (AHAs) and 20 age-, education- and gender-matched healthy controls (HCs) while they participated in a simple two-choice gambling task (99 vs. 9). Our behavioral results showed that AHAs tend to select higher-risk choices compared with HCs (i.e., more "99" choices than "9"). ERP results showed that right hemisphere preponderance of stimulus-preceding negativity was disrupted in AHAs, but not in HCs. Feedback-related negativity of difference wave was higher in AHAs than HCs, with the P300 amplitude associated with risk magnitude and valence. Using source localization that allows identification of abnormal brain activity in consequential cognitive stages, including the reward expectation and outcome evaluation stages, we found abnormalities in both behavioral and neural responses on gambling in AHAs. Taken together, our findings suggest AHAs have risk-prone tendency and dysfunction in adaptive decision making, since they continue to choose risky options even after accruing considerable negative scores, and fail to shift to a safer strategy to avoid risk. Such abnormal decision-making bias to risk and immediate reward seeking may be accompanied by abnormal reward expectation and evaluation in AHAs, which explains their high risk-seeking and impulsivity.