Intoxicating Cannabis Products in Vape Shops: United States, 2023.

INTRODUCTION: Since 2020, many types of intoxicating cannabis products (ICPs) have entered the US market. Hemp-derived ICPs including hexahydrocannabinol (HHC) and delta-8 tetrahydrocannabinol (THC) pose concerns regarding their youth-oriented marketing, potency, and health effects. Some states have attempted to ban, restrict, or regulate their sale. However, the effectiveness of these laws and their enforcement is unclear. The current study provides insights into the retail landscape of ICPs sold across the US. METHODS: In November-December 2023, researchers systematically identified, called, and completed brief surveys with 520 US vape shops: (n=10 per state, n=10 in D.C., n=10 in Puerto Rico). The survey assessed the availability of 6 commonly-sold ICPs. Data were analyzed by regulatory context. Analyses were conducted in 2024. RESULTS: 74% of vape shops sold any ICPs. ICPs were sold in 43% of shops in states with delta-8 THC bans, 53% in states with substantial regulations (intended to support safe use), 90% in states with significant restrictions (intended to limit potency/availability), and 92% in states with limited/no regulations. ICPs were sold in vape shops in each state except Washington and Alaska, both of which banned hemp-derived ICPs and had active retail of legalized non-medical cannabis. CONCLUSIONS: Taking licensed dispensaries into consideration, ICPs can be purchased in retail stores located in all 50 states, Washington DC, and Puerto Rico. ICPs are widely available in vape shops, even in most states with relevant bans/restrictions. Enhanced laws, surveillance, and enforcement are needed. The 2024 Farm Bill and state laws should explicitly prohibit hemp-derived ICPs.

Comparison of the Ability of Gadobenate Dimeglumine and Gadolinium Ethoxybenzyl Dimeglumine to Display the major Features for Noninvasively Diagnosing Hepatocellular Carcinoma According to the LI-RADS 2018v.

OBJECTIVE: To compare the ability of gadolinium ethoxybenzyl dimeglumine (Gd-EOB-DTPA) and gadobenate dimeglumine (Gd-BOPTA) to display the 3 major features recommended by the Liver Imaging Reporting and Data System (LI-RADS 2018v) for diagnosing hepatocellular carcinoma (HCC). MATERIALS AND METHODS: In this retrospective study, we included 98 HCC lesions that were scanned with either Gd-EOB-DTPA-MR or Gd-BOPTA-M.For each lesion, we collected multiple variables, including size and enhancement pattern in the arterial phase (AP), portal venous phase (PVP), transitional phase (TP), delayed phase (DP), and hepatobiliary phase (HBP). The lesion-to-liver contrast (LLC) was measured and calculated for each phase and then compared between the 2 contrast agents. A P value < .05 was considered statistically significant. The display efficiency of the LLC between Gd-BOPTA and Gd-EOB-DTPA for HCC features was evaluated by receiver operating characteristic (ROC) curve analysis. RESULTS: Between Gd-BOPTA and Gd-EOB-DTPA, significant differences were observed regarding the display efficiency for capsule enhancement and the LLC in the AP/PVP/DP (P < .05), but there was no significant difference regarding the LLC in the TP/HBP. Both Gd-BOPTA and Gd-EOB-DTPA had good display efficiency in each phase (AUCmin > 0.750). When conducting a total evaluation of the combined data across the 5 phases, the display efficiency was excellent (AUC > 0.950). CONCLUSION: Gd-BOPTA and Gd-EOB-DTPA are liver-specific contrast agents widely used in clinical practice. They have their own characteristics in displaying the 3 main signs of HCC. For accurate noninvasive diagnosis, the choice of agent should be made according to the specific situation.

Nomogram for Predicting Survival in Locally Advanced Cervical Cancer with Concurrent Chemoradiotherapy plus or Not Adjuvant Chemotherapy: A Retrospective Analysis Based on 2018 FIGO Staging.

Background: The comprehensive treatment mode of combining concurrent chemoradiotherapy (CCRT) with adjuvant chemotherapy (AC) is a commonly used mainstream model in the clinical practice of locally advanced cervical cancer (LACC). However, the necessity for AC after CCRT lacks sufficient evidence-based medical support. This study constructs a predictive model for the survival time dependence of CCRT ± AC for LACC based on the 2018 International Federation of Gynecology and Obstetrics (FIGO) staging with internal validation, the prognosis was assessed with intensity-modulated radiotherapy (IMRT) and concurrent cisplatin, and provides guidance for future stratified treatment. Materials and Methods: The retrospective analysis included 482 patients with LACC who CCRT from January 2016 to January 2023. Patients who used the 2009 FIGO staging were all standardized for the 2018 FIGO staging. The 482 patients with LACC were divided into a training set (n = 290) and a validation set (n = 192) at a ratio of 6:4. COX multivariate regression model and LASSO regression were used to screen for independent prognostic factors affecting progression-free survival (PFS) and overall survival (OS), and a nomogram clinical prediction model was constructed based on these factors. Evaluate the effectiveness of the model through the receiver operating characteristic curve, calibration curve, decision curve, risk heat map, and survival curves for risk stratification. Results: The PFS and OS independent prognostic risk factors affecting the 2018 FIGO staging of LACC during CCRT were validated to be similar to the 2009 FIGO staging prediction model reported in previous literature. In the training cohort, area under the curve (AUC) values at 1, 3, and 5 years were 0.941, 0.882, and 0.885 for PFS, and 0.946, 0.946, and 0.969 for OS, respectively. When applied to a test cohort, the model also showed accurate prediction result (AUC at 1, 3, and 5 years were 0.869, 0.891, and 0.899 for PFS, and 0.891, 0.941 and 0.878 for OS, respectively). Subgroup analysis suggests that patients with LACC, adenocarcinoma, stage IVA, pelvic lymph node metastasis, pretreatment hemoglobin ≤100 g/l and residual tumor diameter >2 cm, who received CCRT in the 2018 FIGO stage, may benefit more from adjuvant chemtherapy. Conclusions: Based on the 2018 FIGO staging, a nomogram prediction model for PFS and OS in patients with LACC undergoing CCRT was developed. The model, established by combining weighted clinical and pathological factors, can provide more personalized treatment predictions in clinical practice. For patients with high-risk factors such as residual tumor diameter > 2 cm after CCRT for LACC, AC may bring benefits.

Clinical and Demographic Profiling of Periodontal Diseases: A Retrospective Analysis Using the 2018 Periodontal Classification Algorithm.

The research presented in this retrospective study aimed to investigate the prevalence of periodontal diseases within a population and explore potential demographic and clinical variations among patients diagnosed with periodontitis. The study involved the analysis of 104 patient records from the Periodontology Clinic at the University of Medicine and Pharmacy in Craiova, collected between 2018 and 2019. Utilizing the 2018 classification algorithm for periodontal diseases, patients were categorized into three groups: a control group without periodontal issues (Group H), a gingivitis group (Group G), and a periodontitis group (Group P). The collected data encompassed demographic information, oral hygiene indicators, and clinical parameters. Statistical analysis and graphical representation revealed notable trends, such as the higher prevalence of periodontitis (51%) compared to gingivitis (14%), with 35% of participants showing no signs of periodontal involvement. Detailed group analyses highlighted specific patterns, including a substantial male predominance among patients without periodontal issues and varying distributions of periodontal stages based on gender. Additionally, the study explored age-related variations, revealing an increasing average age from the control group (33.04 years) to the gingivitis group (34.86 years) and a significant rise in the periodontitis group (45.49 years). The findings underscore the importance of early detection and intervention in periodontal diseases and provide valuable insights for clinicians in tailoring individualized diagnostic and treatment approaches.

Dietary habits, lifestyles, and overall adherence to 2018 WCRF/AICR cancer prevention recommendations among adult women in the EPIC-Florence cohort: Changes from adulthood to older age and differences across birth cohorts.

OBJECTIVES, SETTING AND PARTICIPANTS: We aimed to examine changes in dietary habits, lifestyles (e.g., smoking, physical activity levels, and alcohol intake), anthropometry, other individual health-relevant characteristics, and overall adherence to 2018 WCRF/AICR cancer prevention recommendations, among women enrolled in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Florence cohort. DESIGN AND MEASUREMENTS: We fitted age- and energy intake-adjusted generalized linear models to describe (a) changes occurring over a person's lifetime in the transition from adulthood to older age, and (b) differences between women aged 56-60 years belonging to two birth cohorts spaced apart by around 25 years (born in 1933-1941 vs. 1958-1964). RESULTS: Dietary habits and overall adherence to cancer prevention recommendations improved among women (n = 3,309) followed from adulthood to older age (mean age 47.4 and 71.8 years, respectively), despite increases in the prevalence of adiposity and sedentary lifestyle. Women in the younger birth cohort (n = 163) showed significantly greater overall adherence to cancer prevention recommendations than in the older birth cohort (n = 355), but had more often a positive smoking history and an average larger waist circumference. CONCLUSION: A trend toward better adherence to cancer prevention recommendations emerged when analyzing adult-to-older-age trajectories and differences across birth cohort, yet some critical issues were also identified. Continuous monitoring is essential to detect changing prevention needs and adapt public health policies and practices.

Technical NEMA NU2-2018 Performance Assessment of Time-of-Flight-Integrated Digital PET-CT System.

Aim The objective of this study includes the NEMA (National Electrical Manufacturer Association) NU2-2018 performance evaluation of the uMIvista PET-CT (positron emission tomography-computed tomography) system. Methods The latest NEMA NU2-2018 guidelines have been followed for the evaluation of performance parameters of this PET-CT scanner: axial, tangential, and radial spatial resolution, sensitivity, counting losses, scatter, randomness, random and counting loss correction, image quality, time and energy resolution, image uniformity, and image registration alignment post installation of country first uMIvista PET-CT. Results The measured NEMA sensitivity of the uMIvista PET scanner was 12.053 cps/kBq. The spatial resolutions of the PET were measured as tangential, radial, and transaxial spatial resolutions at 10 mm, with 3.01 mm, 2.95 mm, and 2.93 mm, respectively; at 100 mm, with 3.17 mm, 3.42 mm, and 3.05 mm, respectively; and at 200 mm, with 3.65 mm, 4.54 mm, and 3.17 mm, respectively, at full-width half-maximum (FWHM); while at full-width tenths-maximum (FWTM), the values at 10 mm were 5.79 mm, 5.57 mm, and 5.69 mm, respectively, and at 100 mm were 5.59 mm, 5.96 mm, and 5.91 mm, respectively. The measured time-of-flight (TOF) timing resolution was 302.294 ps and the measured energy resolution was 11.76% with FWHM and FWTM. Conclusion The NEMA NU2-2018 performances of this TOF-integrated digital PET-CT system are extremely good in all parameters.

Preoperative difficulty factors in delayed laparoscopic cholecystectomy: Tokyo Guidelines 2018 surgical difficulty score analysis.

INTRODUCTION: Tokyo Guidelines 2018 (TG18) recommend early laparoscopic cholecystectomy (LC) for low-risk acute cholecystitis (AC); however, some patients undergo delayed LC (DLC) after conservative treatment. DLC, influenced by chronic inflammation, is a difficult procedure. Previous studies on LC difficulty lacked objective measures. Recently, TG18 introduced a novel 25 findings difficulty score, which objectively assesses intraoperative factors. The purpose of this study was to use the difficulty score proposed in TG18 to identify and investigate the predictors of preoperative high-difficulty cases of DLC for AC. METHODS: We retrospectively reviewed 100 patients with DLC after conservative AC treatment. The surgical difficulty of DLC was evaluated using a difficulty score. Based on previous studies, the highest scores in each category were categorized as grades A-C. RESULTS: The severity of AC was mild in 51 patients and moderate in 49. Surgical outcomes revealed a distribution of difficulty scores, with grade C indicating high difficulty, showing significant differences in operative time, blood loss, achieving a critical view of safety, bailout procedures, and postoperative hospital stay compared with grades A and B. Regarding the preoperative risk factors, multivariate analysis identified age >61 years (p = .008), body mass index >27.0 kg/m2 (p = .007), and gallbladder wall thickness >6.2 mm (p = .001) as independent risk factors for grade C in DLC. CONCLUSION: The difficulty score proposed in TG18 provides an objective framework for evaluating surgical difficulty, allowing for more accurate risk assessments and improved preoperative planning in DLC for AC.

Development of novel low-cost readout electronics for large field-of-view gamma camera detectors.

PURPOSE: Large scintillation crystals-based gamma cameras play a crucial role in nuclear medicine imaging. In this study, a large field-of-view (FOV) gamma detector consisting of 48 square PMTs developed using a new readout electronics, reducing 48 (6 × 8) analog signals to 14 (6 + 8) analog sums of each row and column, with reduced complexity and cost while preserving image quality. METHODS: All 14 analog signals were converted to digital signals using AD9257 high-speed analog to digital (ADC) converters driven by the SPARTAN-6 family of field-programmable gate arrays (FPGA) in order to calculate the signal integrals. The positioning algorithm was based on the digital correlated signal enhancement (CSE) algorithm implemented in the acquisition software. The performance characteristics of the developed gamma camera were measured using the NEMA NU 1-2018 standards. RESULTS: The measured energy resolution of the developed detector was 8.7 % at 140 keV, with an intrinsic spatial resolution of 3.9 mm. The uniformity was within 0.6 %, while the linearity was within 0.1 %. CONCLUSION: The performance evaluation demonstrated that the developed detector has suitable specifications for high-end nuclear medicine imaging.

The effect of school size and class size on school preparedness.

The purpose of the present study was to understand students' school readiness as a function of student and teacher behaviors but also school size and class size using both linear and non-linear analytical approaches. Data came from 21,903 schools distributed across 80 countries as per the 2018 cohort of the PISA database. Results pointed to a preference for the Cusp model in that the relationship between school and class sizes with achievement proved to be best described by the non-linearity of the Cusp catastrophe model. The critical benchmarks were a school size of 801 students and a class size of 27 students for which increases beyond those thresholds were linked to nonlinearity and unpredictability in school readiness. For this reason, we suggest using the cusp catastrophe model from Nonlinear Dynamical Systems Theory (NDST) to understand more fully such complex phenomena.

Validation of the 2018 FIGO staging system for stage IIIC cervical cancer by determining the metabolic and radiomic heterogeneity of primary tumors based on 18F-FDG PET/CT.

PURPOSE: This study aimed to validate the 2018 FIGO staging system of cervical cancer (CC) by determining the metabolic and radiomic heterogeneity of primary tumors between stage IIIC1 and IIIC2. METHODS: 168 patients with squamous cell CC underwent pre-treatment fluorine-18 fluorodeoxyglucose positron emission computed tomography (18F-FDG PET/CT) and were randomly allocated to training and testing cohorts with a 7:3 ratio. Radiomics features were extracted from the primary tumors based on CT and PET data. Ten metabolic parameters of the primary tumors were also assessed. After feature selection, three logistic regression radiomics models, involving (1) 2 CT features, (2) 3 PET features, and (3) 2 CT features + 3 PET features, respectively, and one random forest model were established. Finally, area under the curve (AUC) values and calibration curves were used to evaluate the 4 models. RESULTS: The IIIC1 and IIIC2 groups did not differ significantly in age, weight, height, or the 10 major metabolic parameters (P > 0.05). The AUCs of the 4 models were 0.577, 0.639, 0.763, and 0.506, respectively, in the training cohort, and 0.789, 0.699, 0.761, and 0.538, respectively, in the testing cohort. The model fit of the logistic regression model based on CT + PET data was good in both the training and testing cohorts. CONCLUSION: Our study offers additional diagnostic options for PALN metastasis, which could impact treatment decisions. Our results indirectly support the conclusions of previous studies recommending that primary tumors should be considered during IIIC staging.

An Overview on Mushroom Polysaccharides: Health-promoting Properties, Prebiotic and Gut Microbiota Modulation Effects and Structure-function Correlation.

Mushroom polysaccharides are recognized as "biological response modifiers". Besides several bioactivities, a growing interest in their prebiotic potential has been raised due to the gut microbiota modulation potential. This review comprehensively summarizes mushroom polysaccharides' biological properties, structure-function relationship, and underlying mechanisms. It provides a recent overview of the key findings in the field (2018-2024). Key findings and limitations on structure-function correlation are discussed. Although most studies focus on ß-glucans or extracts, α-glucans and chitin have gained interest. Prebiotic capacity has been associated with α-glucans and chitin, while antimicrobial and wound healing potential is attributed to chitin. However, further research is of utmost importance. Human fecal fermentation is the most reported approach to assess prebiotic potential, indicating impacts on intestinal biological, mechanical, chemical and immunological barriers. Gut microbiota dysbiosis has been directly connected with intestinal, cardiovascular, metabolic, and neurological diseases. Concerning gut microbiota modulation, animal experiments have suggested proinflammatory cytokines reduction and redox balance re-establishment. Most literature focused on the anticancer and immunomodulatory potential. However, anti-inflammatory, antimicrobial, antiviral, antidiabetic, hypocholesterolemic, antilipidemic, antioxidant, and neuroprotective properties are discussed. A significant overview of the gaps and research directions in synergistic effects, underlying mechanisms, structure-function correlation, clinical trials and scientific data is also given.

The Association of Maternal Periodontal Diseases in the Postpartum Period with Preterm Low Birth Weight.

AIM: Preterm birth is the most adverse effect of pregnancy, commonly leading to low birth weight. Our study aimed to assess the relationship between maternal periodontal status and adverse pregnancy outcomes by immediate postpartum periodontal examination and diagnosis. MATERIALS AND METHODS: 125 mothers were divided into four groups based on gestational day (GD) and newborns' birth weight (BW); the mothers with GD ≥ 259 days and BW ≥ 2500 gm (Control), the mothers with GD <259 days and BW ≥ 2500 gm (PT group), the mothers with GD ≥ 259 days and BW <2500 gm (LBW group), and the mothers with GD <259 days and BW <2500 gm (PT-LBW group). The maternal periodontal assessment was carried out within 3 days after delivery. RESULTS: The bleeding on probing (BOP) of the PT-LBW group was significantly higher than the control (P = 0.027). The correlation test revealed a mild inverse relationship between BOP and BW (R = -0.23, P = 0.044). According to the new 2018 American Academy of Periodontology (AAP) periodontal classification, there was no significant difference between periodontal status within groups. CONCLUSION: The present study suggests that BOP, an early sign of gingival inflammation, is involved in adverse pregnancy outcomes. CLINICAL SIGNIFICANCE: This study is the first of its kind to use immediate postpartum periodontal examination and diagnosis by the new 2018 AAP periodontal classification. The findings demonstrate that signs of gingival inflammation may be associated with adverse pregnancy outcomes. How to cite this article: Yanaranci S, Laosrisin N, Sriprasertsuk A, et al. The Association of Maternal Periodontal Diseases in the Postpartum Period with Preterm Low Birth Weight. J Contemp Dent Pract 2024;25(2):99-106.

The effect of reading engagement on scientific literacy - an analysis based on the XGBoost method.

Scientific literacy is a key factor of personal competitiveness, and reading is the most common activity in daily learning life, and playing the influence of reading on individuals day by day is the most convenient way to improve the level of scientific literacy of all people. Reading engagement is one of the important student characteristics related to reading literacy, which is highly malleable and is jointly reflected by behavioral, cognitive, and affective engagement, and it is of theoretical and practical significance to explore the relationship between reading engagement and scientific literacy using reading engagement as an entry point. In this study, we used PISA2018 data from China to explore the relationship between reading engagement and scientific literacy with a sample of 15-year-old students in mainland China. 36 variables related to reading engagement and background variables (gender, grade, and socioeconomic and cultural status of the family) were selected from the questionnaire as the independent variables, and the score of the Scientific Literacy Assessment (SLA) was taken as the outcome variable, and supervised machine learning method, the XGBoost algorithm, to construct the model. The dataset is randomly divided into training set and test set to optimize the model, which can verify that the obtained model has good fitting degree and generalization ability. Meanwhile, global and local personalized interpretation is done by introducing the SHAP value, a cutting-edge machine model interpretation method. It is found that among the three major components of reading engagement, cognitive engagement is the more influential factor, and students with high reading cognitive engagement level are more likely to get high scores in scientific literacy assessment, which is relatively dominant in the model of this study. On the other hand, this study verifies the feasibility of the current popular machine learning model, i.e., XGBoost, in a large-scale international education assessment program, with a better model adaptability and conditions for global and local interpretation.

Application of NEMA protocols to verify GATE models based on the Digital Biograph Vision and the Biograph Vision Quadra scanners.

PURPOSE: The Monte Carlo method is an effective tool to simulate and verify PET systems. Furthermore, it can help in the design and optimization of new medical imaging devices and algorithms. In this framework, the goal of this work is to verify the GATE toolkit performance when applied to simulate two Siemens Healthineers PET scanners: a standard axial field-of-view Biograph Vision scanner and the new long axial field-of-view Biograph Vision Quadra scanner. METHODS: The simulation toolkit GATE is based on GEANT4, comprising its main functionalities and a set of domain-specific features in the field of medical physics. To accomplish our purpose, the guidelines described in the NEMA NU 2-2018 protocol are reproduced. Then the simulated results are compared to experimental data available in the literature for both PET scanners. The assessment of the models includes different studies of sensitivity, count rate performances, spatial resolution and image quality. These tests are intended to evaluate the image quality of PET devices. RESULTS: In the spatial resolution test, relative errors lower than 8% are obtained between the experiments and GATE models. The sensitivity is 17.2 cps/kBq (Vision) and 175.9 cps/kBq (Quadra), representing relative differences with the experiment of 6% and 0.3%, respectively. Deviations from peak NECR are less than 9%. In the Image Quality test, the contrast recovery coefficient for hot spheres, with 8 iterations and 5 subsets, ranges between 57-83% for Vision and 54-86% for Quadra. These values represent a maximum deviation between the simulations and the experiments of 10% for the Quadra scanner. In the case of the Vision scanner, the highest difference is observed for the 10 mm sphere (∼38%) due to the higher contrast recovery of the experiment caused by the Gibbs artifact from the use of PSF reconstruction. CONCLUSIONS: The results of the simulations have provided evidence of a good agreement between the experimental data and the results obtained with GATE. Thus, this work supports the capability of this MC toolkit to accurately simulate the models of the Vision and Quadra scanners. This study has laid the basis for further research in this field and has identified several areas that could be explored.

Cumulative live birth rate of in vitro fertilization cycle via progestin-primed ovarian stimulation versus gonadotropin-releasing hormone antagonist protocol in infertile women with normal ovarian reserve: an open-label, randomized controlled trial.

This study aimed to evaluate the cumulative live birth rate (cLBR) of progestin-primed ovarian stimulation (PPOS) protocol versus gonadotropin-releasing hormone antagonist (GnRH-ant) protocol for in vitro fertilization (IVF) cycle in infertile women with normal ovarian reserve (NOR). Infertile women with NOR who underwent their first IVF cycle were enrolled in an open-label randomized controlled trial. Patients were randomly assigned 1:1 to receive a freeze-all strategy with delayed embryo transfer (PPOS group, n = 174) and fresh embryo transfer first (GnRH-ant group, n = 174). The primary outcome was the cLBR per aspiration. The cLBR between the PPOS group and GnRH-ant group were comparable (55.75% vs. 52.87%, p = 0.591). A premature luteinizing hormone surge was not observed in the PPOS group, while there were six cases (3.45%) in the GnRH-ant group, but no premature ovulation in either of the groups. The pregnancy outcomes, including implantation rate, clinical pregnancy rate and miscarriage rate, were all comparable. In addition, the number of retrieved oocytes, mature oocytes and viable embryos were similar (all p > 0.05) between the two groups.

ACES: A new framework for the application of the 2018 periodontal status classification scheme to epidemiological survey data.

AIM: To propose a framework for consistently applying the 2018 periodontal status classification scheme to epidemiological surveys (Application of the 2018 periodontal status Classification to Epidemiological Survey data, ACES). PROPOSED FRAMEWORK: We specified data requirements and workflows for either completed or planned epidemiological surveys, utilizing commonly collected measures of periodontal status (clinical attachment levels [CAL], probing depths, bleeding on probing), as well as additional necessary variables for the implementation of the 2018 periodontal status classification (tooth loss due to periodontitis and complexity factors). Following detailed instructions and flowcharts, survey participants are classified as having periodontal health, gingivitis or periodontitis. Rates of edentulism must also be reported. In cases of periodontitis, instructions on how to compute the stage and extent are provided. Assessment of grade can be derived from CAL measurements (or from radiographic alveolar bone loss data) in relation to root length and the participant's age. CONCLUSIONS: ACES is a framework to be used in epidemiological studies of periodontal status that (i) have been completed, and in which stage and grade according to the 2018 classification are inferred retroactively, or (ii) are being planned. Consistent use of the proposed comprehensive approach will facilitate the comparability of periodontitis prevalence estimates across studies.

Crystal Structures of Fusion Cores from CCoV-HuPn-2018 and SADS-CoV.

Cross-species spillover to humans of coronaviruses (CoVs) from wildlife animal reservoirs poses marked and global threats to human and animal health. Recently, sporadic infection of canine coronavirus-human pneumonia-2018 (CCoV-HuPn-2018) in hospitalized patients with pneumonia genetically related to canine and feline coronavirus were identified. In addition, swine acute diarrhea syndrome coronavirus (SADS-CoV) had the capability of broad tropism to cultured cells including from humans. Together, the transmission of Alphacoronaviruses that originated in wildlife to humans via intermediate hosts was responsible for the high-impact emerging zoonosis. Entry of CoV is mainly mediated by Spike and formation of a typical six helix bundle (6-HB) structure in the postfusion state of Spike is pivotal. Here, we present the complete fusion core structures of CCoV-HuPn-2018 and SADS-CoV from Alphacoronavirus at 2.10 and 2.59 Å, respectively. The overall structure of the CCoV-HuPn-2018 fusion core is similar to Alphacoronavirus like HCoV-229E, while SADS-CoV is analogous to Betacoronavirus like SARS-CoV-2. Collectively, we provide a structural basis for the development of pan-CoV small molecules and polypeptides based on the HR1-HR2 complex, concerning CCoV-HuPn-2018 and SADS-CoV.

The Relationship between a Competitive School Climate and School Bullying among Secondary Vocational School Students in China: A Moderated Mediation Model.

School bullying is widespread in countries around the world and has a continuous negative impact on the physical and mental health of students. However, few studies have explored the influence mechanism of a competitive school climate on school bullying among Chinese secondary vocational school students. This study aims to explore the relationship between a competitive school climate and bullying in secondary vocational schools in the Chinese context, as well as the mediating role of school belonging and the moderating role of gender. Logit regression analysis and a moderated mediation model were used to analyze 1964 secondary vocational students from China based on PISA 2018 data from Beijing, Shanghai, Zhejiang, and Jiangsu, China. (1) The detection rate of school bullying in secondary vocational schools in China is 17.8%, lower than the world average. (2) A competitive school climate is significantly and positively correlated with secondary vocational school students' exposure to school bullying. (3) A moderated mediation model suggests that school belonging is an important mechanism by which a competitive school climate influences the occurrence of school bullying, whereas gender moderates the direct effect of a competitive school climate and the indirect effect of school belonging, which mitigates the negative effects of a competitive school climate to some extent. The research results show that creating a healthy competitive climate in schools, cultivating students' sense of belonging, and facing up to gender differences are helpful to prevent school bullying in secondary vocational schools.

Derived psychoactive cannabis products and 4/20 specials: An assessment of popular brands and retail price discounts in Fort Worth, Texas, 2023.

BACKGROUND: Retail sales of derived psychoactive cannabis products (DPCPs) have increased in the U.S. since passing the 2018 Farm Bill and is unregulated in most states. This study investigated the types and commonly sold brands of DPCPs as well as promotional pricing on April 20th, a day associated with cannabis use. METHODS: On April 19-20, 2023, investigators conducted telephone surveys with 98 retail stores that sold DPCPs in Fort Worth, Texas (where the market was largely unregulated). RESULTS: Delta-8, Delta-9, and Delta-10 THC products were widely available, with 97%, 72%, and 82% of stores selling each type, respectively. Fifteen additional DPCPs were identified, and selling blends containing multiple types of THC was common. Frequently sold brands included Cake, Medusa/Modus, Torch, Urb, Kik, Tyson, 3Chi, Casper, Hidden Hills, Esco Bars, Happi, Hometown Hero, STNR, Bomb Bars, Baked, Hi On Nature, Looper, and Space God. Overall, 45% reported having 4/20 specials discounting prices on DPCPs, smoking devices/accessories, or everything in the store. Several stores also sponsored 4/20 promotional events including free THC gummies and "live delta demos where people can test cartridges and try smoking flower in the store." CONCLUSIONS: Findings highlight the growing complexity of the DPCP market, including numerous different intoxicating compounds and blends. Policymakers, researchers, and public health professionals should consider these complexities, as well as the commonly sold brands, when developing strategies to regulate DPCPs and protect consumer safety. Pricing policies may be an especially important form of harm reduction during events associated with heavy cannabis use, including 4/20.

Impact of post-transplant stroke and subsequent functional independence on outcomes following heart transplantation under the 2018 United States heart allocation system.

BACKGROUND: This study evaluates the clinical trends, risk factors, and effects of post-transplant stroke and subsequent functional independence on outcomes following orthotopic heart transplantation under the 2018 heart allocation system. METHODS: The United Network for Organ Sharing registry was queried to identify adult recipients from October 18, 2018 to December 31, 2021. The cohort was stratified into 2 groups with and without post-transplant stroke. The incidence of post-transplant stroke was compared before and after the allocation policy change. Outcomes included post-transplant survival and complications. Multivariable logistic regression was performed to identify risk factors for post-transplant stroke. Sub-analysis was performed to evaluate the impact of functional independence among recipients with post-transplant stroke. RESULTS: A total of 9,039 recipients were analyzed in this study. The incidence of post-transplant stroke was higher following the policy change (3.8% vs 3.1%, p = 0.017). Thirty-day (81.4% vs 97.7%) and 1-year (66.4% vs 92.5%) survival rates were substantially lower in the stroke cohort (p < 0.001). The stroke cohort had a higher rate of post-transplant renal failure, longer hospital length of stay, and worse functional status. Multivariable analysis identified extracorporeal membrane oxygenation, durable left ventricular assist device, blood type O, and redo heart transplantation as strong predictors of post-transplant stroke. Preserved functional independence considerably improved 30-day (99.2% vs 61.2%) and 1-year (97.7% vs 47.4%) survival rates among the recipients with post-transplant stroke (p < 0.001). CONCLUSIONS: There is a higher incidence of post-transplant stroke under the 2018 allocation system, and it is associated with significantly worse post-transplant outcomes. However, post-transplant stroke recipients with preserved functional independence have improved survival, similar to those without post-transplant stroke.