Efficient Functionalization of Organosulfones via Photoredox Catalysis: Direct Incorporation of α-Carbonyl Alkyl Side Chains into α-Allyl-ß-Ketosulfones.

A novel and efficient method for functionalizing organosulfones has been established, utilizing a visible-light-driven intermolecular radical cascade cyclization of α-allyl-ß-ketosulfones. This process employs fac-Ir(ppy)3 as the photoredox catalyst and α-carbonyl alkyl bromide as the oxidizing agent. Via this approach, the substrates experience intermolecular addition of α-carbonyl alkyl radicals to the alkene bonds, initiating a sequence of C-C bond formations that culminate in the production of organosulfone derivatives. Notably, this technique features gentle reaction conditions and an exceptional compatibility with a wide array of functional groups, making it a versatile and valuable addition to the field of organic synthesis.

Longitudinal associations of the alternative healthy eating index with coronary artery calcification and pericardial adiposity in US adults with and without type 1 diabetes.

BACKGROUND AND AIM: Long-term associations between the alternative healthy eating index (AHEI) score and two predictive indicators for CVD, pericardial adipose tissue (PAT) and coronary artery calcification (CAC) volume, are lacking. Our study aims to investigate the longitudinal associations of the AHEI score with measures of CAC and PAT in adults with and without type 1 diabetes (T1D). METHODS AND RESULTS: The prospective Coronary Artery Calcification in T1D (CACTI) study included 652 people with T1D and 764 people without diabetes (non-DM) (19-56 years old) and was conducted in 2000-2002, 2003-2004, and 2006-2007. At each visit, food frequency questionnaires were collected and PAT and CAC were measured using electron beam computed tomography. Two variables were used for CAC analyses: a continuous variable for the square-root tranformed volume (SRV) for each visit and a second variable identified CAC progression from baseline to visit 3. Mixed effect models and a logistic regression model were used to conduct statistical analyses. A one-point increase in the AHEI score was significantly associated with a -0.12 cm3 (95% CI: -0.17, -0.08; p-value<0.0001) decrease in PAT volume in combined analyses, a -0.16 cm3 (95% CI: -0.22, -0.09; p-value<0.0001) decrease in the non-DM group, a marginally significant -0.07 cm3 (95% CI: -0.14, 0.002; p-value = 0.0571) decrease in the T1D group, and was not associated with either CAC outcome. CONCLUSION: The AHEI score is inversely associated with PAT; the association revealed greater magnitude of PAT reduction in the non-DM group. The AHEI score did not associate with CAC progression.

Utilisation of community healthcare services among older adults with disabilities in Luohu district, Shenzhen: a community-based survey.

OBJECTIVE: China faces the challenge of an ageing population with disabilities. Community healthcare centres (CHCs) serve as frontline community healthcare providers for older adults with and without disabilities. Despite their significance, there is a lack of literature examining the utilisation of CHC services among older adults. This study aims to examine and compare the utilisation and satisfaction of CHC healthcare services among older adults with and without disabilities. SETTING: Data from the 2019 Community Health Diagnosis Questionnaire, which interviewed 259 older adults residing in the Luohu district of Shenzhen, were used in the current study. PRIMARY OUTCOME MEASURES: Participants self-reported outcomes including use of CHCs, use of home health services from CHCs and satisfaction with CHCs. Five different disability types and an integrated disability variable were assessed as independent variables. Linear probability models were used to determine the relationship between disability types and outcome variables. RESULTS: Among 259 older adults aged 60 years and older, 70.66% self-identified as having a disability. No statistically significant associations were found between the use of CHCs, the use of home health services from CHCs and satisfaction with CHCs, and disability status. However, older adults with mobility and cognitive disabilities were more likely to receive home health services from CHCs. CONCLUSION: Community health promotion policies should be implemented to improve access to health services for older adults with and without disabilities. In addition, CHCs should implement effective health management plans to ensure the health needs of older adults with disabilities.

Simultaneous extraction of hydroxylated polycyclic aromatic hydrocarbons and catecholamines with magnetic boronic acid hypercrosslinked polymers.

Urinary hydroxylated polycyclic aromatic hydrocarbons (OH-PAHs) and catecholamines (CAs) are important biomarkers of PAHs exposure. In this study, a novel magnetic boronic acid hypercrosslinked composite (Fe3O4@HCP-BA) is synthesized using a facile one-pot strategy and applied as a sorbent for the simultaneous extraction of OH-PAHs and CAs in urine samples. The synthesized Fe3O4@HCP-BA composites are characterized by rich pore structure, highly specific surface area, good magnetic response, and excellent selectivity and adsorption efficiency (range: 65.26-496.71 and 1227.3-1581.8 µmol g-1 for CAs and OH-PAHs, respectively). The mechanisms governing the adsorption of the OH-PAHs and CAs to the Fe3O4@HCP-BA composites were systematically studied via adsorption kinetics, isotherm models, XPS characterization, and molecular simulation. The resultant Fe3O4@HCP-BA composite-based MSPE/HPLC-FLD method exhibited good linearity (R2 > 0.9916), low limits of detection (0.2-0.3 pg mL-1 and 0.2-0.3 ng mL-1 for OH-PAHs and CAs, respectively), and good precision (intra-day and inter-day RSDs < 11.1%). The analysis of CAs and OH-PAHs in the urine samples from 14 smokers and 14 non-smokers revealed a positive correlation between the concentrations of CAs and OH-PAHs. Our findings not only establish the proposed method as a green, environmentally friendly, and simple strategy for preparing magnetic adsorbents, but also confirm it as a promising alternative method for accurate determination of OH-PAHs and CAs in biological samples.

[Preparation of sulfonic acid functionalized covalent organic framework solid phase microextraction fibers and their application in the analysis of neurotransmitters in the mouse brain].

Neurotransmitters (NTs) are essential for intercellular communication and primarily include monoamine, amino acid, and cholinergic NTs. These molecules play important roles in the body's stress response, motor coordination, neuronal communication, and homeostatic functions. Previous studies have shown that abnormal changes in NT levels are associated with various neurological disorders. Therefore, the development of accurate analytical methods for NT detection will enhance the current understanding on complex neuropathophysiology by providing functional knowledge and techniques for early diagnosis, thereby facilitating the development of new therapeutic options for the related diseases. The solid phase microextraction (SPME) technique combines sample preparation, separation, and enrichment in a single step and is minimally invasive, low cost, solvent free, and high throughput. SPME has been successfully applied to the in vivo analysis of target analytes in animal, human, and plant tissues. The coating material plays a significant role in the development of in vivo SPME methods and must meet various analytical requirements, including a suitable geometry for the SPME device, high extraction capacity, excellent selectivity, and wide extraction coverage for the target analytes. Covalent organic frameworks (COFs) are porous crystalline polymers constructed from organic framework units through strong covalent bonds; these materials are characterized with a low density, large specific surface area, permanent porosity, excellent chemical/thermal stability, and easy functionalization.In this study, a sulfonic acid-functionalized COF material (COF-SO3H) with good crystallinity, excellent chemical/thermal stability, strong hydrophobicity, a uniform mesoporous structure, and narrow pore size distribution was prepared using 2,4,6-triformylphloroglucinol and 1,4-diamino-2-nitrobenzene as monomers. Then, the COF-SO3H was coated onto the surface of stainless-steel fibers and used for in vivo enrichment of NTs. The structural properties of COF-SO3H were characterized using various techniques, such as scanning electron microscopy (SEM), Fourier transform-infrared spectroscopy (FT-IR), and X-ray diffraction (XRD), all of which showed that COF-SO3H had a good crystalline structure and uniform mesopore distribution with a specific surface area of 46.17 m2/g. Compared with the SPME fibers of HLB, C18, MCX, amino, and PXC columns, the prepared COF-SO3H fibers showed better extraction efficiency for the target NTs. Next, the factors affecting SPME efficiency were optimized. The optimal desorption solvent was formic acid-methanol-water (0.5∶49.5∶50, v/v/v), and the optimal extraction and desorption times were 15 min. A method for the in vivo analysis of NTs in the brains of mice was established by combining the COF-SO3H fibers with ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) under optimal conditions. The NTs were separated on an Acquity UPLC BEH-C18 analytical column (100 mm×2.1 mm, 1.7 µm) with 0.1% formic acid aqueous solution (A) and acetonitrile (B) as the mobile phases. The flow rate was set to 0.2 mL/min, and the gradient elution procedure was as follows: 0-4 min, 5%B-6%B; 4-7 min, 6%B-5%B; 7-11 min, 5%B. Under optimal conditions, the method showed good linearity (r2>0.99). The limits of quantification (S/N≥5) were in the range of 0.003-0.005 µg/mL and 3-5 µg/mL for monoamine and amino acid NTs, respectively, with RSDs of less than 20%. The method showed good precision (0.80%-9.70%) and accuracy (2.08%-17.72%), with absolute matrix effects in the range of 82.22%-117.92%. These values reflect the good purification and enrichment abilities of the proposed fibers for the target analytes. Finally, the established SPME method was combined with UPLC-MS/MS and successfully applied to quantify target NTs in the brains of mice. The proposed strategy provides a practical method for the in vivo detection and quantitative analysis of NTs and expands the applications of functionalized COF materials for the analysis of various targets.

Comparison of six machine learning methods for differentiating benign and malignant thyroid nodules using ultrasonographic characteristics.

BACKGROUND: Several machine learning (ML) classifiers for thyroid nodule diagnosis have been compared in terms of their accuracy, sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and area under the receiver operating curve (AUC). A total of 525 patients with thyroid nodules (malignant, n = 228; benign, n = 297) underwent conventional ultrasonography, strain elastography, and contrast-enhanced ultrasound. Six algorithms were compared: support vector machine (SVM), linear discriminant analysis (LDA), random forest (RF), logistic regression (LG), GlmNet, and K-nearest neighbors (K-NN). The diagnostic performances of the 13 suspicious sonographic features for discriminating benign and malignant thyroid nodules were assessed using different ML algorithms. To compare these algorithms, a 10-fold cross-validation paired t-test was applied to the algorithm performance differences. RESULTS: The logistic regression algorithm had better diagnostic performance than the other ML algorithms. However, it was only slightly higher than those of GlmNet, LDA, and RF. The accuracy, sensitivity, specificity, NPV, PPV, and AUC obtained by running logistic regression were 86.48%, 83.33%, 88.89%, 87.42%, 85.20%, and 92.84%, respectively. CONCLUSIONS: The experimental results indicate that GlmNet, SVM, LDA, LG, K-NN, and RF exhibit slight differences in classification performance.

Sodium butyrate alleviates deoxynivalenol-induced porcine intestinal barrier disruption by promoting mitochondrial homeostasis via PCK2 signaling.

Deoxynivalenol (DON) is one of the most plentiful trichothecenes occurring in food and feed, which brings severe health hazards to both animals and humans. This study aims to investigate whether sodium butyrate (NaB) can protect the porcine intestinal barrier from DON exposure through promoting mitochondrial homeostasis. In a 4-week feeding experiment, 28 male piglets were allocated according to a 2 by 2 factorial arrangement of treatments with the main factors including supplementation of DON (< 0.8 vs. 4.0 mg/kg) and NaB (0.0 vs. 2 g/kg) in a corn/soybean-based diet. Dietary NaB supplementation mitigated the damaged mitochondrial morphology within the jejunal mucosa and the disrupted gut epithelial tight junctions irritated by DON. In IPEC-J2 cells, we found efficient recovery of the intestinal epithelial barrier occurred following NaB administration. This intestinal barrier reparation was facilitated by NaB-induced PCK2-mediated glyceroneogenesis and restoration of mitochondrial structure and function. In conclusion, we elucidated a mechanism of PCK2-mediated improvement of mitochondrial function by NaB to repair porcine intestinal barrier disruption during chronic DON exposure. Our findings highlight the promise of NaB for use in protecting against DON-induced gut epithelial tight junction disruption in piglets.

Ultra-processed food consumption and obesity indicators in individuals with and without type 1 diabetes mellitus: a longitudinal analysis of the prospective Coronary Artery Calcification in Type 1 Diabetes (CACTI) cohort study.

OBJECTIVE: To evaluate the associations of ultra-processed food (UPF) consumption and obesity indicators among individuals with and without type 1 diabetes mellitus (T1DM) from the Coronary Artery Calcification in Type 1 Diabetes cohort study. DESIGN: A secondary analysis. The consumption of UPF was assessed using the dietary data collected with the Harvard FFQ, and each food item was categorised according to the NOVA food processing classification. Height, weight and waist circumference were measured at baseline and after a mean of 14·6-year follow-up. Generalised estimating equations stratified by diabetes status were used to assess the associations between UPF intake and obesity indicators over 14 years of follow-up. SETTING: USA. PARTICIPANTS: A total of 600 adults (256 T1DM and 344 non-diabetic controls) aged 39 ± 9·1 years at baseline and followed up for over 14 years were included. RESULTS: Participants with T1DM consumed significantly more UPF than non-diabetic controls at baseline: 7·6 ± 3·8 v. 6·6 ± 3·4 servings per day of UPF, respectively (P < 0·01). Participants with T1DM and with the highest UPF intake had the highest weight (ßQ4 v. Q1 = 3·07) and BMI (ßQ4 v. Q1 = 1·02, all P < 0·05) compared with those with the lowest UPF intake. Similar positive associations were observed in non-diabetic controls. CONCLUSIONS: Individuals with T1DM may consume more UPF than non-diabetic controls. Positive associations between UPF consumption and obesity indicators suggest that limiting UPF can be recommended for obesity prevention and management. Further research is needed to confirm these findings.

Comparison of Accelerated Resolution Therapy for PTSD Between Veterans With and Without Prior PTSD Treatment.

INTRODUCTION: Post-traumatic stress disorder (PTSD) is a psychiatric disorder commonly caused by a traumatic event(s) and prevalent among service members and veterans. Accelerated Resolution Therapy (ART) is an emerging "mind-body" psychotherapy for PTSD that is generally briefer and less expensive than current first-line treatments, such as cognitive processing therapy (CPT) and prolonged exposure (PE) therapy. This study examined the results of ART for treatment of military-related PTSD, with stratification by prior PTSD treatment types, including service members/veterans with reported residual PTSD symptoms following receipt of first-line recommended psychotherapy. MATERIALS AND METHODS: Four groups were constructed and compared based on self-reported prior PTSD treatment history: treatment-naïve (n = 33), pharmacotherapy only (n = 40), first-line psychotherapy (CPT and/or PE) (n = 33), and other psychotherapy (n = 42). Participants were assessed for PTSD symptoms at baseline, post-treatment, and 6-month follow-up using the 17-item Military PTSD Checklist (PCL-M), as well as assessment of depressive, anxiety, and sleep symptoms. The study was approved by the Institutional Review Board at University of South Florida. RESULTS: Among 148 veterans/service members who enrolled and started treatment with ART, 106 (71.6%) completed treatment in a mean of 3.5 treatment sessions, and 55 (51.9%) provided 6-month follow-up data. Mean age was 43.8 years, 95% were male, and 84% were of white race. Within-group standardized effect sizes for pre-to-post changes in PTSD scores (PCL-M) were large at 1.48, 1.11, 1.88, and 1.03 for the treatment-naïve, pharmacotherapy only, first-line psychotherapy, and other psychotherapy groups, respectively. Among treatment completers, the clinically significant treatment response rate (reduction of ≥10 points on the PCL-M) was highest in the treatment-naïve (83%) and first-line psychotherapy (88%) groups. Similar significant symptom reductions were observed for measures of depression and anxiety, and favorable treatment effects were generally sustained at 6-month follow-up. CONCLUSION: In a brief treatment period, ART appears to result in substantial reductions in symptoms of PTSD among veterans, including those with residual PTSD symptoms after prior treatment with first-line psychotherapies endorsed by the U.S. Department of Defense and Veterans Affairs. These results suggest that ART be considered as a potential first-line treatment modality for veterans with PTSD.

An end-to-end seed vigor prediction model for imbalanced samples using hyperspectral image.

Hyperspectral imaging is a key technology for non-destructive detection of seed vigor presently due to its capability to capture variations of optical properties in seeds. As the seed vigor data depends on the actual germination rate, it inevitably results in an imbalance between positive and negative samples. Additionally, hyperspectral image (HSI) suffers from feature redundancy and collinearity due to its inclusion of hundreds of wavelengths. It also creates a challenge to extract effective wavelength information in feature selection, however, which limits the ability of deep learning to extract features from HSI and accurately predict seed vigor. Accordingly, in this paper, we proposed a Focal-WAResNet network to predict seed vigor end-to-end, which improves the network performance and feature representation capability, and improves the accuracy of seed vigor prediction. Firstly, the focal loss function is utilized to adjust the loss weights of different sample categories to solve the problem of sample imbalance. Secondly, a WAResNet network is proposed to select characteristic wavelengths and predict seed vigor end-to-end, focusing on wavelengths with higher network weights, which enhance the ability of seed vigor prediction. To validate the effectiveness of this method, this study collected HSI of maize seeds for experimental verification, providing a reference for plant breeding. The experimental results demonstrate a significant improvement in classification performance compared to other state-of-the-art methods, with an accuracy up to 98.48% and an F1 score of 95.9%.

A nutrition education intervention to improve eating behaviors of children with autism spectrum disorder: Study protocol for a pilot randomized controlled trial.

Autism spectrum disorder (ASD) is a developmental disorder that affects communication and social behaviors. Children with ASD often experience mealtime behavior challenges and selective eating behaviors. They also tend to consume fewer fruits and vegetables and more high-energy dense foods, compared to neurotypical peers. A nutrition intervention was designed to prevent the development of feeding disorders and the long-term negative health impacts associated with poor dietary intake. This randomized controlled trial will evaluate the feasibility and preliminary efficacy of the nutrition education intervention for children with ASD and their parents through the Early Intervention (EI) services. We will recruit EI providers and parent-child dyads (n = 48) from EI programs, and randomly assign them into Autism Eats intervention (n = 24) or enhance usual care (EUC) comparison group (n = 24). The Autism Eats is 10 weekly sessions delivered individually as part of EI, while the EUC group will receive only 1 nutrition education session and then weekly parent handouts. The Autism Eats integrates ASD-specific feeding strategies and behaviorally-focused intervention strategies such as goal setting. Feasibility indicators include reach/participation, attrition, completion, fidelity, compatibility, and qualitative participant feedback. Outcome measures include dietary intakes and mealtime behaviors of children with ASD using 3-day food records and a validated questionnaire, the Brief Autism Mealtime Behavior Inventory (BAMBI). We will examine whether there are differences in children's food intakes, variety, diet quality, and mealtime behaviors between Autism Eats and EUC groups at post-intervention and 5-month follow-up assessment. This study will provide critical data to inform a full-scale randomized controlled trial.

Feasibility of a virtual nutrition intervention for adolescents with autism spectrum disorder.

LAY ABSTRACT: Adolescents with autism spectrum disorder are at an increased risk of unhealthy eating behaviors and obesity compared to their typically developing peers. Many nutrition interventions for this population focus on improving autism spectrum disorder symptoms or managing weight rather than addressing participants' healthy eating self-efficacy. The purpose of this study was to examine a virtual implementation of a new intervention for adolescents with autism spectrum disorder, Bringing Adolescent Learners with Autism Nutrition and Culinary Education. We used fidelity checklists, engagement records, and field notes to measure implementation. We also examined the feasibility of assessing outcome measures, including a food frequency questionnaire (FFQ), psychosocial survey, height, and weight. We recruited adolescents with autism spectrum disorder aged 12-21 years. Six groups of 2-7 adolescents (27 total) participated in the intervention and pre-/post-intervention measurements. Bringing Adolescent Learners with Autism Nutrition and Culinary Education consisted of eight weekly lessons: exploring taste, flavor, and texture; mealtimes and rules; food groups and nutrients; moderation; beverages; cooking; well-being; sustaining healthy eating habits. The virtual implementation was feasible based on lesson attendance, participation, homework completion, fidelity, and prevalence of technical difficulties. Evaluation was also feasible based on response rate, completion, and data quality for the food frequency questionnaire, psychosocial survey, and height and weight measurements. Bringing Adolescent Learners with Autism Nutrition and Culinary Education may be used in virtual settings to reach diverse populations of adolescents with autism spectrum disorder. Future research is needed to evaluate the impact of Bringing Adolescent Learners with Autism Nutrition and Culinary Education on dietary behavior and obesity outcomes.

Empirical dietary inflammatory pattern and metabolic syndrome: prospective association in participants with and without type 1 diabetes mellitus in the coronary artery calcification in type 1 diabetes (CACTI) study.

The inflammatory potential of diet, assessed by Empirical Dietary Inflammatory Pattern (EDIP), may play a crucial role in the development of metabolic syndrome (MetS). However, limited research on this relationship is available. We hypothesized that EDIP is positively associated with MetS and its components. This longitudinal study included 1177 participants (526 with type 1 diabetes mellitus [T1DM] and 651 without) from the Coronary Artery Calcification in Type 1 Diabetes study. Dietary assessment and anthropometric and biochemical measurements were assessed at baseline and 14-year follow-up. MetS status was defined using the Harmonization criteria. EDIP scores were computed based on a food frequency questionnaire. Generalized linear mixed models were applied and subgroup analyses were performed by diabetes status. Mean age of study participants was 38 years and 48% were male at baseline. EDIP was positively associated with MetS (ßT3 versus T1=0.81, P < .01) in T1DM but not in nondiabetic controls. Of the MetS components, low HDL-C and hypertriglyceridemia had positive associations with EDIP in both groups. Individuals with T1DM consumed more pro-inflammatory diets and had a greater risk of developing MetS than those without diabetes. The consumption of processed meat, red meat, high- and low- energy beverages was significantly higher in those with MetS than those without this condition (all P < .05). Reduced consumption of pro-inflammatory foods such as processed meat, red meat, sugar-sweetened beverages, and diet drinks may lower MetS risk in T1DM.

Magnetic borate-modified Mxene: A highly affinity material for the extraction of catecholamines.

A novel magnetic borate-modified MXene composite was prepared by in situ growth of Fe3O4 particles onto the surface of phenylboronic acid modified Ti3C2Tx nanosheets. The magnetic composite possesses highly selective recognition properties to catecholamines, and high adsorption capacity (up to 319.6 µmol g-1) for dopamine. Besides, the adsorption of urinary catecholamines can be accomplished within 2.0 min. The excellent adsorption performance can be assigned to its unique 2D layered structures, which helps to shorten the diffusion path and facilitate molecular transport. In addition, the multilayer adsorption and the synergetic interactions of borate affinity, van der Waals forces, hydrogen bonding and π-π stacking also contribute to the adsorption. By coupling the magnetic boronate affinity composites with high-performance liquid chromatography-fluorescence detection, a sensitive method for the determination of catecholamines in urine samples was proposed. The validation results revealed it can offer good linearities (correlation coefficients higher than 99%). The method detection limits were 0.06, 0.16, 0.03 and 0.14 ng mL-1 for norepinephrine, epinephrine, dopamine and isoprenaline, respectively, and relative recoveries for these catecholamines were in the range of 98.56-108.1%, 92.56-110.0%, 98.79-112.3% and 88.14-97.81%, respectively. The proposed method was successfully applied to analyze the catecholamines in the urine samples from 15 healthy volunteers and 16 patients with Alzheimer's disease. The results indicated that the magnetic borate-modified Mxene composite possesses superior extraction performance, and can be used as an outstanding candidate for the extraction of catecholamines in pre-clinical or clinical studies.

Preparation of Ti3 C2 Tx MXene based solid-phase microextraction coating for sensitive determination of polychlorinated biphenyls in environmental water samples.

In this study, a new Ti3 C2 Tx -coated fiber was synthesized and utilized as coatings for solid-phase microextraction of seven polychlorinated biphenyls. The as-produced multilayered Ti3 C2 Tx MXene was characterized by X-ray diffractometer, thermos-gravimetric analysis, scanning electron microscopy, and energy dispersive spectroscopy. It is noteworthy that the Ti3 C2 Tx showed some attractive features including unique 2D layered structures, large surface area, good hydrophilicity, and rich active recognition sites, endowing it has a high affinity towards the target polychlorinated biphenyls. Subsequently, the affecting parameters on the extraction efficiency of polychlorinated biphenyls were optimized. Under the optimal conditions, a novel method for the analysis of polychlorinated biphenyls in water samples was proposed. The Ti3 C2 Tx -coated fiber-based solid-phase microextraction method showed good linearity (r2  > 0.9928), high enrichment factors (268-442), low limits of detection (0.06-0.15 ng/L), and satisfactory repeatability (RSDs < 7.5%) for the polychlorinated biphenyls. The excellent method recoveries were in the range of 90.0-98.4, 92.0-98.2, and 92.0-98.0% for river water, lake water, and tap water samples, respectively. These results suggested that the proposed Ti3 C2 Tx -coated fiber-based method represents a promising alternative for the analysis of polychlorinated biphenyls.

Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging.

BACKGROUND: Microvascular invasion (MVI) has a significant effect on the prognosis of hepatocellular carcinoma (HCC), but its preoperative identification is challenging. Radiomics features extracted from medical images, such as magnetic resonance (MR) images, can be used to predict MVI. In this study, we explored the effects of different imaging sequences, feature extraction and selection methods, and classifiers on the performance of HCC MVI predictive models. METHODS: After screening against the inclusion criteria, 69 patients with HCC and preoperative gadoxetic acid-enhanced MR images were enrolled. In total, 167 features were extracted from the MR images of each sequence for each patient. Experiments were designed to investigate the effects of imaging sequence, number of gray levels (Ng), quantization algorithm, feature selection method, and classifiers on the performance of radiomics biomarkers in the prediction of HCC MVI. We trained and tested these models using leave-one-out cross-validation (LOOCV). RESULTS: The radiomics model based on the images of the hepatobiliary phase (HBP) had better predictive performance than those based on the arterial phase (AP), portal venous phase (PVP), and pre-enhanced T1-weighted images [area under the receiver operating characteristic (ROC) curve (AUC) =0.792 vs. 0.641/0.634/0.620, P=0.041/0.021/0.010, respectively]. Compared with the equal-probability and Lloyd-Max algorithms, the radiomics features obtained using the Uniform quantization algorithm had a better performance (AUC =0.643/0.666 vs. 0.792, P=0.002/0.003, respectively). Among the values of 8, 16, 32, 64, and 128, the best predictive performance was achieved when the Ng was 64 (AUC =0.792 vs. 0.584/0.697/0.677/0.734, P<0.001/P=0.039/0.001/0.137, respectively). We used a two-stage feature selection method which combined the least absolute shrinkage and selection operator (LASSO) and recursive feature elimination (RFE) gradient boosting decision tree (GBDT), which achieved better stability than and outperformed LASSO, minimum redundancy maximum relevance (mRMR), and support vector machine (SVM)-RFE (stability =0.967 vs. 0.837/0.623/0.390, respectively; AUC =0.850 vs. 0.792/0.713/0.699, P=0.142/0.007/0.003, respectively). The model based on the radiomics features of HBP images using the GBDT classifier showed a better performance for the preoperative prediction of MVI compared with logistic regression (LR), SVM, and random forest (RF) classifiers (AUC =0.895 vs. 0.850/0.834/0.884, P=0.558/0.229/0.058, respectively). With the optimal combination of these factors, we established the best model, which had an AUC of 0.895, accuracy of 87.0%, specificity of 82.5%, and sensitivity of 93.1%. CONCLUSIONS: Imaging sequences, feature extraction and selection methods, and classifiers can have a considerable effect on the predictive performance of radiomics models for HCC MVI.

Utilization of community health care centers and family doctor contracts services among community residents: a community-based analysis in Shenzhen, China.

BACKGROUND: Family doctor contract services (FDCS) began in China in 2016. Shenzhen, one of the most developed cities in China, also implemented a family doctor (FD) policy in 2017. The objectives of this study were to identify the impact of awareness of FDCS and signing service contracts with FDs on utilization of community health care centers (CHCs). METHODS: Cross-sectional secondary data based on residents living in Luohu district was used for analysis. Descriptive analysis was conducted to identify utilization of CHCs by awareness of FDCS and signing service contracts with FDs, respectively. Linear probability models (LPM) were used to determine the association of utilization of CHCs with awareness of FDCS and signing service contracts with FDs, respectively. RESULTS: Among 1205 adults included in the analysis, 27 % of the participants knew about the FDCS, 5 % signed with FD, and 20 % had chronic disease. Both awareness of the FDCS and signing service contracts with FDs significantly increased the probability of using CHCs as a first choice. CONCLUSIONS: This study provided evidence that both awareness of FDCS and signing service contracts with FDs had a positive impact on utilization of primary health care services at the community level. More interventions to improve awareness of FDCS are needed to increase the utilization of primary health care services.

Electrolysis-sulfate-reducing up-flow sludge bed-biological contact oxidation reactor for Norfloxacin removal from wastewater with high sulfate content.

This study investigated the treatment of 100-mg/L Norfloxacin (NOR) wastewater containing high concentrations of sulfate through a combination of electrolysis, sulfate-reducing up-flow sludge bed (SRUSB), and biological contact oxidation reactor (BCOR) treatments. Results revealed that after 62 h, the reaction system had processed over 97% of the NOR. Additionally, electrolysis with sodium sulfate as the electrolyte transformed 87.8% of the NOR but only 33.5% of the total organic carbon (TOC). In the SRUSB, the TOC and SO42- contents were simultaneously reduced by 87.4% and 95.6%, respectively, providing a stable environment to the BCOR. In the BCOR, 36.3% and 85.9% of the NOR and TOC were degraded. High-performance liquid chromatography-tandem mass spectrometry analysis identified three possible degradation pathways under the attack of -OH during electrolysis, including defluorination, piperazinyl ring transformation, and quinolone ring transformation. Furthermore, the Illumina HiSeq sequencing results demonstrated that the sulfate-reducing bacteria (represented by Desulfobacter and Desulfobulbus) in the SRUSB and the sulfate-oxidizing bacteria (mainly consisting of Gammaproteobacteria and Alphaproteobacteria) in the BCOR played important roles in carbon chain oxidation and benzene ring opening and thoroughly degraded the electrolysis products. Thus, this method effectively overcomes the incomplete degradation and low removal efficiency issues associated with single electrolysis or biological methods in traditional processes.

Simultaneous extraction of diverse organic pollutants from environmental water using a magnetic covalent organic framework composite.

Polycyclic aromatic hydrocarbons (PAHs), tetracyclines (TCs), and triphenylmethane dyes (TDs) are common organic pollutants, which may threat the human health or natural microbial communities. In this work, we report a novel multifunctional sorbent based on core-shell magnetic carboxylate-functionalized covalent organic frameworks composites (Fe3O4@COF-COOH) for the simultaneous adsorption of these target analytes via mixed-mode solid phase extraction. The behaviors of the synthetic composite for the adsorption of PAHs, TCs, and TDs were evaluated based on the Freundlich and Langmuir isotherm models. In combination with quantum chemistry calculations, it was found that the multiple interactions including π-π stacking, hydrogen bonding, and electrostatic attractions were existed between COF-COOH and guest molecules. The extraction parameters were optimized, and a novel simultaneous absorption-stepwise desorption (SASD) strategy for the enrichment of PAHs, TCs, and TDs was proposed. By coupling with HPLC-DAD method, the validation results revealed good linearities (R2 ≥ 0.9882) for all analytes. High sensitivity with LODs within the range of 0.003-0.008, 0.02-0.06, and 0.006-0.008 µg L-1 were obtained for PAHs, TCs, and TDs, respectively. High recoveries ranging from 93.6 to 105.8% were obtained with intra-day RSDs of 2.2-6.3% and inter-day RSDs of 3.2-6.5%. The obtained results demonstrated that the proposed SASD strategy using Fe3O4@COF-COOH as sorbents can be extended to other aqueous solutions consisting of trace multi-target analytes.