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Summary: Upcycling plastics presents an opportunity not only to reduce plastic waste, but also to provide an alternative carbon source to fossil fuels. Herein, we present a protocol to upcycle plastics with resin codes 2–7 using a commercially available base-metal photocatalyst. We first conducted batch reactions, followed by a continuous, segmented flow system for gram-scale upcycling into value-added platform chemicals. This protocol, employing tandem carbon-hydrogen bond oxidation/carbon-carbon bond cleavage reactions, can be useful for photocatalytically transforming plastics at ambient conditions.For complete details on the use and execution of this protocol, please refer to Li et al. (2023).1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.

Background: Associations between oral health and systemic conditions have been well established in recent literature. Improvements in oral hygiene have consistently shown to significantly reduce the incidence of respiratory infections, which has high morbidity and mortality rates in the frail elderly. However, the simple low-cost intervention of good oral care remains overlooked in healthcare institutions and nursing homes, due to limited awareness and knowledge. Previous efforts for oral care training of non-dental healthcare professionals have been largely sporadic, with little impact and reach to the medical fraternity. Purpose: To overcome these challenges, we utilized a train-the-trainer model, where seven senior nurses from the long-term stay wards of a public community hospital were educated on the importance of good oral health and trained to administer a comprehensive oral care protocol in patients requiring assistance. The Oral Health Education Programme (OHEP) consisted of a full-day workshop on Common Dental Conditions, Oral Health Assessment Technique (OHAT), and oral hygiene instruction for normal and assisted tooth brushing in independent and mechanically ventilated patients respectively. Results: Majority of the nurses felt that the training was effective and applicable to their work. The number of patients with chronic respiratory infections in the wards were reduced after commencement of OHEP. Conclusion: This interprofessional education collaboration using the train-the-trainer model provides a standardized curriculum, while allowing autonomy for the trainers to customize modules relevant to their respective institutions. This partnership model between medical nurses and oral health professionals allows for better sustainability of the programme.

Limited evidence is available regarding the impact of ambient inhalable particulate matter (PM) on mental disorder (MD) or dementia-related deaths, particularly PM1, PM1–2.5, and coarse particles (PM2.5–10). Moreover, individual confounders have rarely been considered. In addition, evidence from low-pollution areas is needed but is inadequate. Using death records from the Death Registration System during 2015–2021 in Ningde, a coastal city in southeast China, we combined a conditional quasi-Poisson model with a distributed lag nonlinear model to estimate the nonlinear and lagged associations of PM exposure with MD or dementia-related deaths in Ningde, China, comprehensively controlling for individual time-invariant confounders using a time-stratified case-crossover design. The attributable fraction and number were calculated to quantify the burden of MD or dementia-related deaths that were related to PMs. We found J-shaped relationships between MD or dementia-related deaths and PMs, with different thresholds of 13, 9, 19, 33 and 12 μg/m3 for PM1, PM1–2.5, PM2.5, PM10 and PM2.5–10. An inter-quartile range increase for PM1, PM1–2.5, PM2.5, PM10 and PM2.5–10 above the thresholds led to an increase of 31.8% (95% confidence interval, 14.3–51.9%), 53.7% (22.4–93.1%), 32.6% (15.0–53.0%), 35.1% (17.7–55.0%) and 25.9% (13.0–40.3%) in MD-related deaths at lag 0–3 days, respectively. The associations were significant in the cool season rather than in the warm season and were significantly greater among people aged 75–84 years than in others. The fractions of MD-related deaths attributable to PM1, PM1–2.5, PM2.5, PM10 and PM2.5–10 were 5.55%, 6.49%, 7.68%, 10.66%, and 15.11%, respectively; however, only some of them could be protected by the concentrations recommended by the World Health Organisation or China grade I standard. Smaller associations and similar patterns were observed between PMs and dementia-related death. These findings suggest stricter standards, and provide evidence for the development of relevant policies and measures.

The potential of circular RNAs (circRNAs) as biomarkers and therapeutic targets is becoming increasingly evident, yet their roles in cardiac regeneration and myocardial renewal remain largely unexplored. Here, we investigated the function of circIGF1R and related mechanisms in cardiac regeneration. Through analysis of circRNA sequencing data from neonatal and adult cardiomyocytes, circRNAs associated with regeneration were identified. Our data showed that circIGF1R expression was high in neonatal hearts, decreased with postnatal maturation, and up-regulated after cardiac injury. The elevation was validated in patients diagnosed with acute myocardial infarction (MI) within 1 week. In human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) and myocardial tissue from mice after apical resection and MI, we observed that circIGF1R overexpression enhanced cardiomyocyte proliferation, reduced apoptosis, and mitigated cardiac dysfunction and fibrosis, while circIGF1R knockdown impeded endogenous cardiac renewal. Mechanistically, we identified circIGF1R binding proteins through circRNA precipitation followed by mass spectrometry. RNA pull-down Western blot and RNA immunoprecipitation demonstrated that circIGF1R directly interacted with DDX5 and augmented its protein level by suppressing ubiquitin-dependent degradation. This subsequently triggered the β-catenin signaling pathway, leading to the transcriptional activation of cyclin D1 and c-Myc. The roles of circIGF1R and DDX5 in cardiac regeneration were further substantiated through site-directed mutagenesis and rescue experiments. In conclusion, our study highlights the pivotal role of circIGF1R in facilitating heart regeneration and repair after ischemic insults. The circIGF1R/DDX5/β-catenin axis emerges as a novel therapeutic target for enhancing myocardial repair after MI, offering promising avenues for the development of regenerative therapies.

IntroductionThe heterogeneity of depressive and anxiety disorders complicates clinical management as it may account for differences in trajectory and treatment response. Self-schemas, which can be determined by Self-Referential Judgements (SRJs), are heterogeneous yet stable. SRJs have been used to characterize personality in the general population and shown to be prognostic in depressive and anxiety disorders.MethodsIn this study, we used SRJs from a Self-Referential Encoding Task (SRET) to identify clusters from a clinical sample of 119 patients recruited from the Institute of Mental Health presenting with depressive or anxiety symptoms and a non-clinical sample of 115 healthy adults. The generated clusters were examined in terms of most endorsed words, cross-sample correspondence, association with depressive symptoms and the Depressive Experiences Questionnaire and diagnostic category.ResultsWe identify a 5-cluster solution in each sample and a 7-cluster solution in the combined sample. When perturbed, metrics such as optimum cluster number, criterion value, likelihood, DBI and CHI remained stable and cluster centers appeared stable when using BIC or ICL as criteria. Top endorsed words in clusters were meaningful across theoretical frameworks from personality, psychodynamic concepts of relatedness and self-definition, and valence in self-referential processing. The clinical clusters were labeled “Neurotic” (C1), “Extraverted” (C2), “Anxious to please” (C3), “Self-critical” (C4), “Conscientious” (C5). The non-clinical clusters were labeled “Self-confident” (N1), “Low endorsement” (N2), “Non-neurotic” (N3), “Neurotic” (N4), “High endorsement” (N5). The combined clusters were labeled “Self-confident” (NC1), “Externalising” (NC2), “Neurotic” (NC3), “Secure” (NC4), “Low endorsement” (NC5), “High endorsement” (NC6), “Self-critical” (NC7). Cluster differences were observed in endorsement of positive and negative words, latency biases, recall biases, depressive symptoms, frequency of depressive disorders and self-criticism.DiscussionOverall, clusters endorsing more negative words tended to endorse fewer positive words, showed more negative biases in reaction time and negative recall bias, reported more severe depressive symptoms and a higher frequency of depressive disorders and more self-criticism in the clinical population. SRJ-based clustering represents a novel transdiagnostic framework for subgrouping patients with depressive and anxiety symptoms that may support the future translation of the science of self-referential processing, personality and psychodynamic concepts of self-definition to clinical applications.

Abstract Introduction Overuse of medication to treat migraine attacks can lead to development of a new type of headache or significant worsening of pre-existing headache, known as medication overuse headache. However, data concerning the burden of medication overuse (MO) in migraine are limited. This study aimed to assess the humanistic burden of MO in individuals with migraine from five European countries. Methods Data are from the 2020 National Health and Wellness Survey—a cross-sectional, population-based survey conducted in France, Germany, Italy, Spain, and the UK. Data were included from adults (≥ 18 years) with a self-reported diagnosis of migraine and at least one migraine attack and one headache in the past 30 days. MO was defined as (i) use of simple analgesics/over-the-counter medications on ≥ 15 days/month; or (ii) use of migraine medication, including combination analgesics, on ≥ 10 days/month. Humanistic burden of MO was assessed using the 12-Item Short-Form Health Survey (SF-12v2), EuroQol 5-Dimensions 5-Levels (EQ-5D), Short-Form 6-Dimensions (SF-6D), and Migraine Disability Assessment (MIDAS). The association of MO with humanistic burden was evaluated using generalized linear models adjusted for potential confounders in the full migraine population and in subgroups defined by headache frequency (monthly headache days [MHDs] 1–3, 4–7, 8–14, or ≥ 15). Results Among individuals with migraine, humanistic burden (SF-12v2, SF-6D, EQ-5D, and MIDAS) was higher in individuals who reported MO (n = 431) versus no MO (n = 3554), even after adjustment for confounding variables (p

Hydrogen sulfide (H2S) is one of the three known gas signal transducers, and since its potential physiological role was reported, the literature on H2S has been increasing. H2S is involved in processes such as vasodilation, neurotransmission, angiogenesis, inflammation, and the prevention of ischemia-reperfusion injury, and its mechanism remains to be further studied. At present, the role of post-translational processing of proteins has been considered as a possible mechanism for the involvement of H2S in a variety of physiological processes. Current studies have shown that H2S is involved in S-sulfhydration, phosphorylation, and S-nitrosylation of proteins, etc. This paper focuses on the effects of protein modification involving H2S on physiological and pathological processes, looking forward to providing guidance for subsequent research.

Abstract Advanced oxidation technology based on peroxonosulfate (PMS) has attracted extensive attention in water treatment research due to its fast reaction speed and wide pH range adaptability. Cobalt-based catalysts are considered to be one of the most effective reagents for PMS activation in various PMS activation methods. However, Co-ion leaching and difficulty in recovery have greatly hindered its practical applications. Herein, we developed a robust membrane constructed by nitrogen-doped carbon nanotubes embedded with cobalt nanoparticles (Co-NC) to concurrently address the Co-ion leaching and recovery issues. Based on our customization, continuous water flow reactor, the Co-NC membrane exhibited excellent catalytic activity and stability, in which it demonstrated a remarkable sterilization efficiency of 99.9999% against E. coli, and it retained a superior stability of 96.29% after 40 repeated cycles. Fewer attempts to put such efficient heterogeneous advanced oxidation processes (AOPs) into practical application, to mimic real-life applications, the performance of the Co-NC/PMS system was extended to the water taken from Qiuxi River. Remarkably, there is no deterioration in performance over 12 h of continuous real sewage processing. Mechanistic studies revealed that abundant high-valence metals (CoIV=O) were generated in the system, which can attack and penetrate into the cell membrane to destroy its intracellular defense system. This work provides useful insights into designing robust membranes with superior efficiency and stability for PMS-based advanced oxidation technology.

Abstract Background Nicotine dependence is a significant public health issue, and understanding the factors associated with nicotine dependence in this population is crucial for developing effective interventions. This study examined the association between family functioning and nicotine dependence levels of smoking fathers based on the McMaster model of family functioning (MMFF), providing evidence for future interventions. Methods In this study, we selected fathers of first- to fifth-grade students from 10 pilot elementary schools in Qingdao whose families smoked. We used the Fagerstrom test to assess nicotine dependence and the Family Assessment Device to evaluate family functioning. We performed univariate analysis to compare differences among those with different levels of nicotine dependence, and we used an ordinal logistic regression analysis to investigate the influences related to nicotine dependence. Results This study included 874 smokers, with 78.5% having mild nicotine dependence, 11.7% having moderate dependence, and 9.84% having severe dependence. Univariate analysis showed that smokers with severe dependence had lower education levels, higher prevalence of chronic diseases, more frequent alcohol consumption, and poorer family functioning compared to those with mild to moderate dependence. Ordinal logistic regression analysis showed that poorer general functioning scores (OR = 1.087, 95% CI: 1.008–1.173, P = 0.030), poorer behavioral control (OR = 1.124, 95% CI: 1.026–1.232, P = 0.012), more quit attempts, frequent alcohol consumption, and longer smoking duration may be associated with a higher likelihood of developing severe nicotine dependence. The older age of starting smoking and higher education level may be associated with a lower likelihood of developing severe nicotine dependence. However, it is important to note that the cross-sectional nature of this study precludes the determination of causal relationships. Conclusions This study finds that heavy nicotine dependence in smoking fathers is associated with risky behaviors and demographics such as longer smoking duration and frequent alcohol consumption. Targeted smoking cessation interventions are crucial for this group, taking these specific factors into consideration. Family functioning, particularly general functioning and behavioral control, may also be linked to nicotine dependence, indicating the need for further research in this area.

Abstract Accurate and stable short‐term passenger flow prediction is an indispensable part of current intelligent transportation systems. This paper proposes two deep learning prediction models based on convolutional neural networks (CNN) and long short‐term memory neural network (LSTM). Combining the CNN characteristics and the LSTM, the ConvXD‐LSTM extracts passenger flow features through CNN and then inputs the time series into the LSTM. The ConvLSTM converts the weight calculation of the LSTM into convolution operation to realize short‐term passenger flow prediction. Fuzhou Metro Line 1 passenger flow data was used for verification. The models were used to predict the passenger flow of subway stations and cross‐sections and compared with the traditional prediction models. In terms of prediction accuracy, ConvLSTM has the highest accuracy, followed by ConvXD‐LSTM. In terms of running time, ConvXD is the fastest and LSTM takes the longest. ConvXD‐LSTM and ConvLSTM are in the middle of the two models, achieving a good balance between accuracy and efficiency. Compared with ConvXD‐LSTM, ConvLSTM has a relatively simple network structure, which reduces the computational burden and improves the prediction accuracy.

Polycyclic aromatic hydrocarbons (PAHs) are persistent and harmful pollutants with high priority concern in agricultural fields. This work constructed a rice-crab coculture and bioaugmentation (RCM) system to remediate phenanthrene (a model PAH) contamination in rice fields. The results showed that RCM had a higher remediation performance of phenanthrene in rice paddy compared with rice cultivation alone, microbial addition alone, and crab-rice coculture, reaching a remediation efficiency of 88.92 % in 42 d. The concentration of phenanthrene in the rice plants decreased to 6.58 mg/kg, and its bioconcentration effect was efficiently inhibited in the RCM system. In addition, some low molecular weight organic acids of rice root increased by 12.87 %∼73.87 %, and some amino acids increased by 140 %∼1150 % in RCM. Bioturbation of crabs improves soil aeration structure and microbial migration, and adding Pseudomonas promoted the proliferation of some plant growth-promoting rhizobacteria (PGPRs), which facilitated the degradation of phenanthrene. This coupling rice-crab coculture with bioaugmentation had favorable effects on soil enzyme activity, microbial community structure, and PAH degradation genes in paddy fields, enhancing the removal of and resistance to PAH contamination in paddy fields and providing new strategies for achieving a balance between production and remediation in contaminated paddy fields.

This study utilized various phosphorus-ion implantation techniques, incorporating low, medium, and high doses, to investigate the electrical properties of unintentionally doped β-Ga2O3 epilayers. These epilayers were grown on sapphire substrates by metalorganic chemical vapor deposition.Specifically, the low-dose implantation involved phosphorus ions at concentrations of 1.6✕1013, 1✕1012 and 2.5✕1012 atoms/cm2, administered at implantation energies of 100, 50, and 40 keV, respectively. The medium-dose implantation utilized phosphorus ions at concentrations of 1.6✕1014, 1✕1013 and 2.5✕1013 atoms/cm2, at the same implantation energies. Finally, the high-dose implantation employed phosphorus ions at concentrations of 1.6✕1015, 1✕1014 and 2.5✕1014 atoms/cm2, with implantation energies of 100, 50, and 40 keV, respectively. The implantation parameters were also simulated using the Stopping and Range of Ions in Matter software, while the actual concentration of phosphorus ions was measured via secondary ion mass spectrometry. Subsequently, Ni and Au were deposited on the annealed phosphorus-implanted β-Ga2O3 epilayers, followed by rapid thermal annealing at 600 °C in a nitrogen environment for 1 min, for Hall measurement. The electrical properties of the phosphorus-implanted β-Ga2O3 epilayers were assessed through Hall measurements. Notably, the β-Ga2O3 epilayers implanted with middle and high doses displayed p-type behavior. The resistivity of the p-type β-Ga2O3 epilayers with middle and high doses measured 9.699 and 6.439 Ω cm, respectively, as determined by Hall measurements. Additionally, the hole carrier concentrations for these doses were measured as 1.612 × 1018 and 6.428 × 1017, respectively. Consequently, the phosphorus ion implantations using middle and high doses were proven effective in obtaining p-type Ga2O3. To further explore the defect formation energies and Fermi energies of substitutional phosphorus defects within the β-Ga2O3 lattices, first-principles density-functional simulations were employed.

The circular RNAs (circRNAs) involved in competitive endogenous RNA (ceRNA) mechanism are critical modulators affecting pathogenesis of thyroid carcinoma (TC). The study’s goal was to investigate the effects of circ 0003747 on the biological progression of papillary thyroid cancer (PTC). Normal thyroid cells Nthy-ori3–1 and TC derived cell lines were used in our study. Sanger sequencing and RNase R treatment were utilized for validating the circular structure of circ_0003747. In our work, circ_0003747 was found to be highly expressed in TC cells. Circ_0003747 knockdown reduced TC cell viability, proliferation, migration, and invasion while increasing cell apoptosis. Circ_0003747 targeted and negatively regulated miR-338-3p expression. Besides, miR-338-3p interacted with PLCD3 to repress its expression. Overexpression of miR-338-3p inhibited TC cell progression, and PLCD3 reversed these effects. Furthermore, PLCD3 overexpression reversed the effects of circ_0003747 knockdown on TC cells. Additionally, the knockdown of circ_0003747 remarkably suppressed tumour size and growth, restrained PLCD3 expression and promoted miR-338-3p expression in nude mice. In conclusion, circ_0003747 facilitated the biological progression of TC by modulating the miR-338-3p/PLCD3 axis, and it may be a new target for TC treatment. Abbreviations: TC: Thyroid carcinoma; PTC: Papillary thyroid carcinoma; CircRNAs: Circular RNAs; MiRNA: MicroRNA; EMT: Epithelial-mesenchymal transition; HCC: Hepatocellular carcinoma; PLCD3: Phospholipase C Delta 3; CeRNA: Competitive endogenous RNA

Background: Hydrogen sulfide (H2S) has been identified as the third gaseous signaling molecule. Endogenous H2S plays a key role in the progression of various types of cancer. However, the effect of endogenous H2S on the growth of esophageal cancer (EC) remains unknown. Methods: In this study, three kinds of H2S-producing enzymes inhibitors, DL-propargylglycine (PAG, inhibitor of cystathionine-γ-lyase), aminooxyacetic acid (AOAA, inhibitor of cystathionine-β-synthase), and L-aspartic acid (L-Asp, inhibitor of 3-mercaptopyruvate sulfurtransferase) were used to determine the role of endogenous H2S in the growth of EC9706 and K450 human EC cells. Results: The results indicated that the combination (PAG+AOAA+L-Asp) group showed higher inhibitory effects on the viability, proliferation, migration, and invasion of EC cells than PAG, AOAA, and L-Asp group. Inhibition of endogenous H2S promoted apoptosis via activation of mitogen-activated protein kinase pathway in EC cells. Endogenous H2S suppression triggered pyroptosis of EC cells by activating reactive oxygen species-mediated nuclear factor-κB signaling pathway. In addition, the combine group showed its more powerful growth-inhibitory effect on the growth of human EC xenograft tumors in nude mice without obvious toxicity. Conclusion: Our results indicate that inhibition of endogenous H2S production can significantly inhibit human EC cell growth via promotion of apoptosis and pyroptosis. Endogenous H2S may be a promising therapeutic target in EC cells. Novel inhibitors for H2S-producing enzymes can be designed and developed for EC treatment.

Precise regulation of photogenic electron transfer path plays an important role in improving photocatalytic carbon dioxide reduction efficiency and product selectivity. Herein, under the guidance of density functional theory calculation, the interface chemical bond (CoN2 bond) at the atomic level is designed, and g‐C3N4/CoCo‐layered double hydroxide (LDH) heterostructure is manufactured. CoCo‐LDH with water oxidation ability and g‐C3N4 were combined to construct S‐scheme heterojunction with redox ability. The valence band and conduction band of g‐C3N4 and CoCo‐LDH are precisely connected by the interfacial CoN2 bond, which realizes the high‐speed transfer of electron transport. Despite the absence of cocatalyst, the heterojunction exhibits high water oxidation and carbon reduction capacity due to the precise regulation of CoN2 bonds. Theoretical calculations and experimental results show that the addition of CoCo‐LDH: reduces the oxidation overpotential of water to provide more H protons; regulates the delocalization charge of g‐C3N4; and reduces the energy barrier of the CO2 intermediate (*COOH) in the reduction half‐reaction. The results show that the selectivity of carbon‐based substances in the products was 100%, and the optimal CO yield was 71.39 μmol g−1 h−1, which is among the highest values of g‐C3N4‐based photocatalysts.