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Extensive studies on the morphological characteristics of the coccyx, using CT or MRI techniques, have been conducted in some European and Asian countries. However, research on coccyx morphology in China remains scarce. A total of 300 subjects, who underwent sacrococcygeal digital radiological scans at the third affiliated hospital of Zhejiang Chinese Medical University between January 2022 and December 2023, were analyzed in this retrospective study. Modified coccyx morphology classification was applied. Imaging focused on the type of coccyx and the number of coccygeal segments. The subjects exhibited coccyx type III (33.3%), type II (32.7%), type I (16.7%), type IV (16%), type V (0.3%), and type VI (1%). 32 males with coccygeal type II; 76 females with coccygeal type III. Significant differences in coccyx morphology were observed between male and female (p < 0.05). Coccygeal morphology showed correlations with age (p = 0.009), body weight (p = 0.01), and BMI (p = 0.039). Among Chinese adults, type III coccyx is the most common, and the 3-segment configuration is the most prevalent. Coccyx types differ by gender, coccyx morphology is correlated with age, weight, and BMI. Our study lays the foundation for future clinical applications of these findings. [ABSTRACT FROM AUTHOR]

Understanding social determinants of HIV late presentation with advanced disease (LPWA) beyond individual-level factors could help decrease LPWA and improve population-level HIV outcomes. This study aimed to examine county-level social determinants of health (SDOH) with HIV late presentation. We aggregated datasets for analysis by linking statewide HIV diagnosis data from the South Carolina (SC) Enhanced HIV/AIDS Reporting System and multiple social contextual datasets (e.g., the American Community Survey). All adult (18 years and older) people with HIV diagnosed from 2014 to 2019 in SC were included. Linear mixed models with forward selection were employed to explore the association of county-level SDOH with the county-level three-year moving average percentage of LPWA and average delay time from HIV infection to diagnosis. Around 30% of new HIV diagnoses were LPWA in SC, and the mean delay time for people with LPWA was approximately 13 years. Counties with more racial residential segregation had longer average delay time (Adjusted beta = 5.079, 95% CI: 0.268 ~ 9.889). Regarding other SDOH, the increased percentage of LPWA was associated with fewer Ryan White centers per 100,000 population (Adjusted beta = -0.006, 95% CI: -0.011~-0.001) and higher percentages of the population with less than a high school education (Adjusted beta = 0.008, 95% CI: 0 ~ 0.015). Reducing county-level disparities in LPWA requires multifaceted interventions addressing multiple dimensions of SDOH. Targeted interventions are needed for counties with more Black residential segregation, fewer Ryan White centers, and higher percentages of less than high school education. [ABSTRACT FROM AUTHOR]

As the main equipment of converter steel production, the oxygen lance plays an important role in stirring, slagging, decarburizing, and heating the molten pool. The velocity distribution of the melt pool is based primarily on a computational model of fluid mechanics. This model has a long calculation time and requires more computing resources. Given the complex working conditions on site, it is not possible to assess the timing. The deep learning algorithm is selected to replace the numerical calculation model, which has acceptable accuracy and shorter calculation time. The oxygen lance process parameters are mapped to the hidden code of the convolution autoencoder via a multilayer perceptron, and the input oxygen lance parameters are used to predict the velocity distribution of the molten pool on the millisecond time scale. The frequency distribution of the velocity error value is counted, the prediction accuracy is 93.12, and the calculation time is only 0.12 seconds. The real-time calculation of the dead zone area and impact depth of the melt pool is helpful for the field personnel to meaningfully adjust the parameters of the oxygen lance. [ABSTRACT FROM AUTHOR]

Objectives: To explore the feasibility of simultaneous multi-slice (SMS) technique for reducing acquisition times in readout-segmented echo planar imaging (RESOLVE) for diffusion tensor imaging (DTI) of the knee. Materials and methods: A total of 30 healthy volunteers and 23 patients with knee acute injury (12 cases with anterior ligament (ACL) tears and 16 cases with patellar cartilage (PC) injury) were enrolled in this prospective study. Three DTI protocols were used: conventional RESOLVE-DTI with 12 directions (protocol 1), SMS-RESOLVE-DTI with 12 directions (protocol 2) and 20 directions (protocol 3). DTI parameters of gastrocnemius, ACL and posterior cruciate ligament (PCL), and PC from three protocols were quantitatively assessed. Results: For volunteers, protocol 2 significantly reduced acquisition time by 38.6% and 34.2% compared to protocols 1 and 3 while maintaining similar high-quality images and similar diffusive parameters, except for the fractional anisotropy (FA) and axial diffusivity (AD) of the PC between protocols 2 and 1 (P < 0.05). For injured ACL and PC, protocols 1 and 2 showed similar accurate diffusive parameters (except for AD, P = 0.025) and similar diagnostic efficacy, which demonstrated significantly lower FA and higher radial diffusivity (RD) in protocols 1 and 2 compared to volunteers (P < 0.05). Conclusions: The 12-direction SMS-RESOLVE-DTI demonstrated a favorable balance between acquisition time and image quality, making it a promising alternative to conventional DTI for evaluating ligament and cartilage injuries. Advances in knowledge: The SMS technique greatly reduces acquisition time while maintaining image quality, which signified the possibility of DTI's clinical application. [ABSTRACT FROM AUTHOR]

Falling is an emergency situation that can result in serious injury or even death, especially in the absence of immediate assistance. Therefore, developing a model that can accurately and promptly detect falls is crucial for enhancing quality of life and safety. In the field of object detection, while YOLOv8 has recently made notable strides in detection accuracy and speed, it still faces challenges in detecting falls due to variations in lighting, occlusions, and complex human postures. To address these issues, this study proposes the SDES-YOLO model, an improvement based on YOLOv8. By incorporating a multi-scale feature extraction pyramid (SDFP), occlusion-aware attention mechanism (SEAM), an edge and spatial information fusion module (ES3), and a WIoU-Shape loss function, the SDES-YOLO model significantly enhances fall detection performance in complex scenarios. With only 2.9M parameters and 7.2 GFLOPs of computation, SDES-YOLO achieves an mAP@0.5 of 85.1%, representing a 3.41% improvement over YOLOv8n, while reducing parameter count and computation by 1.33% and 11.11%, respectively. These results indicate that SDES-YOLO successfully combines efficiency and precision in fall detection. Through these innovations, SDES-YOLO not only improves detection accuracy but also optimizes computational efficiency, making it effective even in resource-constrained environments. [ABSTRACT FROM AUTHOR]

The concept of spatiotemporal correlation, initially rooted in the domain of physics, has increasingly become of interest to scholars across various fields. This burgeoning interest is especially noted within the realm of human dynamics, where the examination of human behavior's spatiotemporal aspects is emerging. The exploration into the nuanced ways in which human actions intertwine with geographical contexts is paramount. This paper delves into the Time-Space Characteristic Correlation of Human Behavior (TSCH) model, a pioneering framework that melds the intricacies of human behavior with geographic considerations through a micro-dynamic approach to population strategy, employing the mean-field limit method. This study scrutinizes the spatiotemporal dynamics of individual travel behaviors, focusing on specific traits such as sudden increases in activity (paroxysm B), behavioral memory (M), and the radius of gyration (Rg). The stability of these behavioral waves is evaluated through the application of the "db4" wavelet basis function, revealing stable fluctuations in population travel patterns that resonate deeply with regional characteristics. The model enables the computation of the overall cost burden of area visits for local residents, uncovering a power-law correlation between this cost and the spatial attractiveness of urban centers when analyzed at a collective level. Our findings underscore a profound linkage between the temporal and spatial patterns of human behavior at the urban scale. Furthermore, the TSCH model's advancement facilitates a nuanced understanding of complex social issues, including urban development, public health management, and transportation systems optimization, offering valuable insights for sociological inquiry and practical application in addressing contemporary societal challenges. [ABSTRACT FROM AUTHOR]

Human epidermal growth factor receptor 2 (HER2) overexpression and activation are crucial for trastuzumab resistance in HER2-positive breast cancer; however, the potential regulatory mechanism of HER2 is still largely undetermined. In this study, a novel circular RNA derived from peptidylprolyl isomerase D (PPID) is identified as a negative regulator of trastuzumab resistance. Circ-PPID is highly stable and significantly downregulated in trastuzumab-resistant cells and tissues. Restoration of circ-PPID markedly enhances HER2-positive breast cell sensitivity to trastuzumab in vitro and in vivo. Circ-PPID directly binds to N-acetyltransferase 10 (NAT10) in the nucleus and blocks the interaction between NAT10 and HER2 mRNA, reducing N4-acetylcytidine (ac4C) modification on HER2 exon 25, leading to HER2 mRNA decay. Intriguingly, the subcellular localization of circ-PPID differs between trastuzumab-sensitive and -resistant cells. Circ-PPID in trastuzumab-resistant cells is located more in the cytoplasm, mainly due to the upregulation of Exportin 4 (XPO4), which results in the loss of spatial conditions for circ-PPID to bind to nuclear NAT10. Taken together, our data suggest that circ-PPID is a previously unappreciated ac4C-dependent HER2 epigenetic regulator, providing a promising therapeutic direction for overcoming trastuzumab resistance in clinical setting. [ABSTRACT FROM AUTHOR]

Human emergency behaviour and psychological stress response in emergencies are important scientific issues in basic emergency management research. The analysis of the dynamic characteristics of large-scale human behaviour based on electronic footprint data provides a new method for quantitative research on this problem. Previous studies usually assumed that human behaviors were randomly distributed in time, but few studies have studied the psychological stress response of human groups under the influence of emergencies and carried out prediction methods through social media data. Based on the data from five emergencies and daily events in the Qzone, this paper explores the statistical characteristics of human communication behaviors such as time, space and social interaction. The research results reveal the psychological evolution of human groups when they encounter public security emergencies by analysing the causes of individual psychological stress responses in the group. We find that the time interval between people's posting behaviour and interactive comment behaviour in mobile QQ space before and after an emergency can be approximately described by a power-law distribution. The time interval distribution of Posting and reply is an obvious heavy-tailed distribution. These behavioural characteristics are consistent with people's psychological stress characteristics. Individual psychological stress responses gradually evolve into social-psychological responses with changes in behavioural characteristics. The greater the social-psychological stress response is, the more panic the public will be, which will cause the outbreak of group irrational behaviour. The research results are theoretically helpful in understanding the impact of emergencies on human communication behaviour patterns and reveal the psychological stress process of mass panic in large-scale emergencies. [ABSTRACT FROM AUTHOR]

The rise of immunotherapy provided new approaches to cancer treatment. We aimed to describe the contribution of chimeric antigen receptor T cell immunotherapy to future prospects. We analyzed 8035 articles from the Web of Science Core Collection with CiteSpace that covered with various aspects with countries, institutions, authors, co-cited authors, journals, keywords, and references. The USA was the most prolific country, with the University of Pennsylvania being the most published institution. Among individual authors, June Carl H published the most articles, while Maude SL was the most frequently co-cited author. "Blood" emerged as the most cited journal. Keyword clustering revealed six core themes: "Expression," "Chimeric Antigen Receptor," "Tumor Microenvironment," "Blinatumomab," "Multiple Myeloma," and "Cytokine Release Syndrome." In the process of researching the timeline chart of keywords and references, "Large B-cell lymphoma" was located on the right side of the timeline. In the keyword prominence analysis, we found that the keywords "biomarkers," "pd-1," "antibody drug conjugate," "BCMA," and "chimeric antigen" had high explosive intensity in the recent past. We found that in terms of related diseases, "large B-cell lymphoma" and "cytokine release syndrome" are still difficult problems in the future. In the study of therapeutic methods, "BCMA," "PD-1," "chimeric antigen," and "antibody drug conjugate" deserve more attention from researchers in the future. [ABSTRACT FROM AUTHOR]

The correlation between the Cobb angle and the sagittal spinal curvature (SSC) in adolescent idiopathic scoliosis (AIS) has been reported in some previous studies, but few studies have reported on the relation of coronal wedge deformity (CWD) with sagittal curvature. This study aims to investigate the correlation between CWD and SSC in AIS patients. A retrospective analysis was conducted in 122 AIS patients treated at our hospital from January 2018 to November 2023. Correlation analysis was performed on the Cobb angle, total wedge angle(TW), apical vertebral wedge angle (APW), upper end-vertebral wedge angle (UW), lower end-vertebral wedge angle (LW), total affected structures, average wedge angle(AW), total vertebral wedge angle (TVW), average vertebral wedge angle (AVW), Vertebral Wedge Angle ratio (VWR), total disc wedge angle (TDW), average disc wedge angle (ADW), and disc wedge angle ratio (DWR). Furthermore, out of all cases which underwent lateral spinal radiographs, a correlation analysis between thoracic kyphosis (TK), lumbar lordosis (LL) and CWD was carried out on 102 patients. The Cobb angle exhibited a significant positive correlation with multiple CWD parameters (P < 0.05). TK showed a significant negative correlation with the Cobb angle (r = − 0.221, P = 0.026), TW (r = − 0.199, P = 0.045), AW (r = − 0.262, P = 0.008), TDW (r = − 0.211, P = 0.033), and ADW (r = − 0.278, P = 0.005). LL had no significant correlation with TK and other parameters (P > 0.05). In mild and moderate AIS patients, CWD parameters were positively correlated with the Cobb angle and negatively correlated with thoracic SSC. This may indicate that it's necessary to correct sagittal thoracic curvature when rectifying scoliosis in clinic. This research would not only provide new insights for clinical practice but also offer important evidence for early diagnosis and intervention. [ABSTRACT FROM AUTHOR]

Experiencing adverse childhood experiences (ACEs) may impact personal opinions, attitudes, and judgments, which can further result in HIV-related stigma. HIV-related stigma consequentially may impact HIV preventive measures such as HIV testing, pre-exposure prophylaxis uptake, and condom use. The extent to which ACEs influence HIV-related stigma perception has not been well studied. Therefore, the study aimed to examine the association between ACEs and perceived and interpersonal HIV-related stigma among Tanzanian HIV-negative men. Quantitative survey data were obtained from the Tanzania STEP (Self-Testing Education and Promotion) project established in four wards: Mabibo, Manzese, Tandale, and Mwanyanamala. A total of 507 men responded to the ACEs and HIV-related stigma questionnaires. ACEs were operationalized as types of ACEs (environmental, physical/psychological, sexual abuse) and ACE score (0 (reference) vs. 1, 2, 3, ≥ 4). Perceived HIV-related stigma was analyzed both as a binary (HIV stigma vs. no HIV stigma) and a continuous variable. Unadjusted and adjusted multinomial logistic and linear regression models were used to assess the associations between ACEs and HIV-related stigma. ACE types were associated with HIV stigma (b = 0.237, 95% CI [0.122–0.352], p = <.0001). Findings of the adjusted multinomial logistic regression model show that experiencing one ACE (aOR = 1.9; p-value = 0.023), two ACEs (aOR = 1.8; p-value = 0.044), four or more ACEs (aOR = 4.1; p-value = < 0.0001) were associated with greater perceived HIV-related stigma. Moreover, experiencing environmental (aOR = 8.6; p-value = 0.005), physical/psychological (aOR = 2.5; p-value = 0.004), and sexual abuse (aOR = 3.4; p-value = < 0.0001) were associated with higher odds of HIV-related stigma. Our study findings suggest that those who experience childhood trauma are more likely to have a higher perception of HIV-related stigma. Intervention programs targeting HIV stigma should consider addressing ACEs entailing the behavioral and psychological impact of childhood trauma. [ABSTRACT FROM AUTHOR]

Purpose: This investigation aimed to examine the mediating effect of inflammatory biomarkers on the relationship between dust exposure and lung function levels among steelworkers. Methods: The study comprised 2,315 front-line workers employed at an iron and steel company in Tangshan, who underwent occupational health assessments through cluster sampling. Demographic and lifestyle data were collected via a self-administered questionnaire, while physical examinations measured parameters such as height and weight. Lung function was assessed using a portable pulmonary function tester (CHEST). Blood cell counts were uniformly analyzed using a Mindray fully automated biochemistry analyzer (BS-800). Inflammatory biomarkers, including leukocyte count, neutrophil count, lymphocyte count, and platelet count, were assessed, and the neutrophil-to-lymphocyte ratio and systemic immune inflammation index were computed. Generalized linear models and Spearman rank correlation analyses were employed to explore the interplay among dust exposure, inflammatory biomarkers, and alterations in lung function. A mediation analysis model was constructed to elucidate how inflammatory biomarkers mediate the relationship between dust exposure and lung function levels. Results: After adjusting for covariates, dust exposure was significantly associated with reduced lung function levels, with statistically significant differences observed between dust-exposed and non-exposed groups across various lung function indicators (P < 0.001). In the dust-exposed group, inflammatory biomarkers were elevated, showing significant correlations with FVC and FEV1 (P < 0.05). However, the correlation between FEV1/FVC and various inflammatory biomarkers was insignificant (P > 0.05). Mediation analysis revealed that white blood cells and neutrophils partially mediated the association between dust exposure and FVC, with proportions of 1.75% and 1.09%, respectively. Similarly, white blood cells, neutrophils, and the systemic immune inflammation index partially mediated the association between dust exposure and FEV1, with proportions of 1.15%, 0.82%, and 0.82%, respectively. Conclusion: In conclusion, dust exposure poses a risk for decreased lung function levels. Inflammatory biomarkers derived from blood cells offer a valuable and easily obtainable means of identifying changes in lungfunction levels. Among these biomarkers, white blood cells, neutrophils, and the systemic immune inflammation index significantly mediate the association between dust exposure and lung function levels, although further exploration is needed to understand their underlying mechanisms. [ABSTRACT FROM AUTHOR]

Information on how school-based programs is implemented and sustained during crises is limited. In this study, we assessed the impact of the COVID-19 pandemic on the implementation of a HIV prevention intervention in The Bahamas. Data were collected from 139 Grade 6 teachers in 2021–2022. Teachers attended virtual training and received implementation monitoring from coordinators. On average, teachers taught 26.4 (SD = 9.2) of the 35 core activities, and 7.4 (SD = 2.4) out of 9 sessions. More than half (58.3%) of teachers completed 28 or more core activities; 69.1% covered eight or all nine sessions, which is equivalent to 80% of the HIV intervention curriculum. Almost half of the teachers (43%) reported that the pandemic negatively impacted their ability to teach the program; 72% of teachers maintained that the program remained "very important" during times of crisis. Greater self-efficacy and supports increased implementation fidelity. [ABSTRACT FROM AUTHOR]

The articles in this special issue of AIDS and Behavior focus on the collision between HIV/AIDS and COVID-19 as intersecting pandemics that profoundly impacted communities globally. This editorial highlights the complex interplay between these two public health crises. The pandemic disrupted access to HIV prevention, testing, and treatment services, potentially jeopardizing decades of progress. Mental health challenges and social vulnerability among people living with HIV (PWH) were exacerbated, with preexisting health disparities amplified, disproportionately affecting marginalized populations. However, despite these challenges, the pandemic also spurred innovation and adaptation in HIV prevention and care, with increased use of telehealth and other modalities. The enduring and actionable lessons learned from the collision of HIV and COVID-19 pandemics can prepare us for the next public health challenge with two calls for action. First, we call for integrated and equitable responses that address the multifaceted challenges faced by individuals and communities affected by HIV in the post-COVID-19 era. Second, we call for a strengthened commitment to building resilient health systems and community-engaged interventions that can withstand future challenges. [ABSTRACT FROM AUTHOR]

People with HIV (PWH) are at an elevated risk of developing severe COVID-19 outcomes because of compromised immunity and more comorbidities. However, existing literature suggests a lower rate of COVID-testing among PWH. This study aimed to explore the temporal trend of county-level COVID-19 testing rate and multi-level predictors of COVID-19 ever-testing among PWH in South Carolina (SC). Leveraging linked statewide HIV and COVID-19 datasets, we defined the study population as all adult (18 + years) PWH who were alive on March 2020 and living in SC. PWH with a COVID-19 testing record between March 2020 and October 2021 were defined as COVID-19 ever-testers. Logistic regression and generalized mixed models were used to investigate the association of PWH's demographic profile, HIV clinical characteristics (e.g., CD4 count, viral load), comorbidities, and social factors with COVID-19 testing among PWH. Among 15,660 adult PWH, 8,005 (51.12%) had ever tested for COVID-19 during the study period (March 2020-October 2021). PWH with older age, being male, and Hispanics were less likely to take COVID-19 testing, while men who have sex with men or injection drug users were more likely to take COVID-19 testing. PWH with higher recent viral load (10,000-100,000 copies/ml vs. <200 copies/ml: adjusted odds ratio [AOR]: 0.64, 95%CI: 0.55–0.75) and lower CD4 counts (> 350 cells/mm3 vs. <200 cells/mm3: AOR: 1.25, 95%CI: 1.09–1.45) had lower odds for COVID-19 testing. Additionally, PWH with lower comorbidity burden and those living in rural areas were less likely to be tested for COVID-19. Differences in COVID-19 test-seeking behaviors were observed among PWH in the current study, which could help provide empirical evidence to inform the prioritization of further disease monitoring and targeted intervention. More efforts on building effective surveillance and screening systems are needed to allow early case detection and curbing disease transmission among older, male, Hispanic, and immune-suppressed PWH, especially in rural areas. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic has posed unprecedented pressure to health care systems, and interrupted health care delivery and access including HIV care in the United States' Deep South, which endures a double epidemic of HIV and COVID-19. Ryan White programs cover HIV care services for over half of PLWH in the Deep South. Given the important role of Ryan White programs, examining the visitation changes to Ryan White facilities during the pandemic offers insights into the impact of the pandemic on HIV healthcare utilization. Objectives: Analyze the geographic distribution of HIV facility visitors at the county level before and during the pandemic in the nine US states of Deep South (Alabama, Florida, Georgia, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, Texas) to reveal the geographic and racial disparity in visitation disruption caused by the pandemic. Methods: We first extracted mobile device-based visitation data for Ryan White HIV facilities in the Deep South during 2019 and 2020. To quantify the disruption in visitations during 2020, we calculated the visitation reduction rate (VRR) for each county, using 2019 data as the baseline. Next, we conducted a spatial analysis of the VRR values to uncover geographical disparities in visitation interruptions. To investigate racial disparities, we performed spatial regression analyses with VRR as the dependent variable, and the percentages of Black, Hispanic, and Asian populations as the independent variables. In this analysis, we controlled for potential confounders. Results: Geographic disparities in visitation reduction were observed, with all nine Deep South states experiencing significant drops. Georgia experienced the highest visitation loss (VRR = -0.58), followed by Texas (-0.47), Alabama (0.47), and Tennessee (-0.46), while South Carolina had the smallest reductions (-0.11). All the regression models consistently revealed racial disparities in visitation interruption. That is, counties with a higher proportion of Black population tended to have higher RW facility visitation reductions. Conclusions: Our analysis revealed distinct geographic disparities in visitation interruptions at Ryan White HIV facilities in the Deep South during the COVID-19 pandemic in 2020. Furthermore, we found that the Black/African American population experienced a greater disruption at the county level in the Deep South during this period. [ABSTRACT FROM AUTHOR]

The global COVID-19 pandemic has imposed unprecedented pressure on health systems and has interrupted public health efforts for other major health conditions, including HIV. It is critical to comprehensively understand how the pandemic has affected the delivery and utilization of HIV-related services and what are the effective strategies that may mitigate the negative impacts of COVID-19 and resultant interruptions. The current study thus aims to comprehensively investigate HIV service interruptions during the pandemic following a socioecological model, to assess their impacts on various outcomes of the HIV prevention and treatment cascade and to identify resilience resources for buffering impacts of interruptions on HIV treatment cascade outcomes. We will assess HIV service interruptions in South Carolina (SC) since 2020 using operational report data from Ryan White HIV clinics and HIV service utilization data (including telehealth use) based on statewide electronic health records (EHR) and cellphone-based place visitation data. We will further explore how HIV service interruptions affect HIV prevention and treatment cascade outcomes at appropriate geospatial units based on the integration of multi-type, multi-source datasets (e.g., EHR, geospatial data). Finally, we will identify institutional-, community-, and structural-level factors (e.g., resilience resources) that may mitigate the adverse impacts of HIV service interruptions based on the triangulation of quantitative (i.e., EHR data, geospatial data, online survey data) and qualitative (i.e., in-depth interviews with clinic leaders, healthcare providers, people living with HIV, and HIV clinic operational reports) data regarding health system infrastructure, social capital, and organizational preparedness. Our proposed research can lead to a better understanding of complicated HIV service interruptions in SC and resilience factors that can mitigate the negative effects of such interruptions on various HIV treatment cascade outcomes. The multilevel resilience resources identified through data triangulation will assist SC health departments and communities in developing strategic plans in response to this evolving pandemic and other future public health emergencies (e.g., monkeypox, disasters caused by climate change). The research findings can also inform public health policymaking and the practices of other Deep South states with similar sociocultural contexts in developing resilient healthcare systems and communities and advancing epidemic preparedness. [ABSTRACT FROM AUTHOR]

HIV care services have been interrupted by the COVID-19 pandemic in many states in the U.S. including South Carolina (SC). However, many HIV care facilities demonstrated organizational resilience (i.e., the ability to maintain needed health services amid rapidly changing circumstances) by addressing challenges to maintaining care during the pandemic. This study, therefore, aims to identify key facilitators for organizational resilience among AIDS Services Organizations (ASOs) in SC. In-depth interviews were conducted among 11 leaders, from 8 ASOs, across SC during the summer of 2020. The interviews were recorded after receiving proper consent and then transcribed. Utilizing a codebook based upon the interview guide, a thematic analysis approach was utilized to analyze the data. All data management and analysis were conducted in NVivo 11.0. Our findings demonstrate several facilitators of organizational resilience, including (1) accurate and timely crisis information dissemination; (2) clear and preemptive protocols; (3) effective healthcare system policies, management, and leadership; (4) prioritization of staff psychological wellbeing; (5) stable access to personal protective equipment (PPE); (6) adequate and flexible funding; and (7) infrastructure that supports telehealth. Given the facilitators of organizational resilience among ASOs in SC during the COVID-19 pandemic, it is recommended that organizations implement and maintain coordinated and informed responses based upon preemptive protocols and emerging needs. ASO funders are encouraged to allow a flexibility in spending. The lessons learned from the participating leaders enable ASOs to develop and strengthen their organizational resilience and experience fewer disruptions in the future. [ABSTRACT FROM AUTHOR]

To exploratorily test (1) the impact of HIV and aging process among PLWH on COVID-19 outcomes; and (2) whether the effects of HIV on COVID-19 outcomes differed by immunity level. The data used in this study was retrieved from the COVID-19 positive cohort in National COVID Cohort Collaborative (N3C). Multivariable logistic regression models were conducted on populations that were matched using either exact matching or propensity score matching (PSM) with varying age difference between PLWH and non-PLWH to examine the impact of HIV and aging process on all-cause mortality and hospitalization among COVID-19 patients. Subgroup analyses by CD4 counts and viral load (VL) levels were conducted using similar approaches. Among the 2,422,864 adults with a COVID-19 diagnosis, 15,188 were PLWH. PLWH had a significantly higher odds of death compared to non-PLWH until age difference reached 6 years or more, while PLWH were still at an elevated risk of hospitalization across all matched cohorts. The odds of both severe outcomes were persistently higher among PLWH with CD4 < 200 cells/mm3. VL ≥ 200 copies/ml was only associated with higher hospitalization, regardless of the predefined age differences. Age advancement in HIV might significantly contribute to the higher risk of COVID-19 mortality and HIV infection may still impact COVID-19 hospitalization independent of the age advancement in HIV. [ABSTRACT FROM AUTHOR]

This study explored individual- and county-level risk factors of late presentation with advanced disease (LPAD) among people with HIV (PWH) and their longer delay time from infection to diagnosis in South Carolina (SC), using SC statewide Enhanced HIV/AIDS Reporting System (eHARS). LPAD was defined as having an AIDS diagnosis within three months of initial HIV diagnosis, and delay time from HIV infection to diagnosis was estimated using CD4 depletion model. 3,733 (41.88%) out of 8,913 adult PWH diagnosed from 2005 to 2019 in SC were LPAD, and the median delay time was 13.04 years. Based on the generalized estimating equations models, PWH who were male (adjusted prevalence ratio [aPR]: 1.22, 95% CI: 1.12 ∼ 1.33), aged 55+ (aPR: 1.76, 95% CI: 1.62 ∼ 1.92), were Black (aPR: 1.09, 95% CI: 1.03 ∼ 1.15) or Hispanic (aPR: 1.42, 95% CI: 1.26 ∼ 1.61), and living in counties with a larger proportion of unemployment individuals (aPR: 1.02, 95% CI: 1.01 ∼ 1.03) were more likely to be LPAD. Among PWH who were LPAD, Hispanic (adjusted beta: 1.17, 95% CI: 0.49 ∼ 1.85) instead of Black (adjusted beta: 0.11, 95% CI: -0.30 ∼ 0.52) individuals had significant longer delay time compared to White individuals. Targeted and sustained interventions are needed for older, male, Hispanic or Black individuals and those living in counties with a higher percentage of unemployment because of their higher risk of LPAD. Additionally, specific attention should be paid to Hispanic individuals due to their longer delay time to diagnosis. [ABSTRACT FROM AUTHOR]

To streamline the data processing workflow, reduce processing time, ensure the timeliness of GPS satellite inter-frequency clock bias (IFCB) services, and facilitate data delivery, a new method is presented. This method directly estimates the IFCB model coefficients from observations. It has been validated using GPS data collected from 107 triple-frequency IGS observation stations and corresponding processing results. The estimated GPS satellite IFCBs obtained through two methods were investigated: (1) the epoch-wise estimation method, (2) the proposed model coefficients estimation method. The results show that the IFCB values computed with the proposed method are equivalent to those of the other method. As a final product, it is provided only in the form of model coefficients, which can significantly save storage space. Using the parameterized estimation IFCB product for triple-frequency precise point positioning (PPP) in static positioning shortens the convergence time by 24.8% compared to the uncorrected scheme, and slightly outperforms the epoch-wise estimation method by 1.8%. For real-time applications, the presented estimation method skips the fitting step, making it easy to broadcast to users and convenient for extrapolation. This also saves processing time, which is crucial for the timely delivery of the IFCB real-time service, thereby enhancing service accuracy. The real-time static and kinematic PPP positioning results demonstrate that the presented method achieves satisfactory accuracy and convergence performance compared to corrections based on epoch-wise IFCB values and their fitted counterparts, further confirming its effectiveness. [ABSTRACT FROM AUTHOR]

The teaching objectives of traditional approaches in higher education emphasize mostly students' mastery of knowledge and have insufficient directionality to social needs. In this study, we developed a BOPPPS (Bridge-in, Objectives, Pre-assessment, Participatory Learning, Post-assessment and Summary) teaching model combined with the OBE (Outcome Based Education) concept to enhance the teaching outcomes. Firstly, based on the graduation requirements and professional training objectives of students, we divided the course objectives into three dimensions (knowledge, ability and quality), and further specified into index points. Then, the teaching content of each chapter was set to correspond with the index points. Finally, the BOPPPS teaching model was used to meet each requirement. Clinical biochemistry testing course was used as a model to assess the effects of the teaching reform. After the class, the teaching effect was analyzed based on the questionnaire surveys from the students and their scores of both the chapter and final examinations. The results showed that compared with the traditional approach, the BOPPPS teaching model combined with the OBE concept has demonstrated a notable enhancement in student engagement, and significant improvement of their mastery of knowledge, application skills, and problem-solving abilities. The examination scores of the BOPPPS group were markedly higher than those of the traditional group. Moreover, the difference between the two groups diverse assessment scores was much bigger than that between the two group examination scores. Our study indicates that the BOPPPS teaching model combined with the OBE concept is a highly effective teaching model for enhancing the learning effectiveness of students. [ABSTRACT FROM AUTHOR]

This retrospective study explored the association between travel burden and timely linkage to care (LTC) among people with HIV (PWH) in South Carolina. HIV care data were derived from statewide all-payer electronic health records, and timely LTC was defined as having at least one viral load or CD4 count record within 90 days after HIV diagnosis before the year 2015 and 30 days after 2015. Travel burden was measured by average driving time (in minutes) to any healthcare facility visited within six months before and one month after the initial HIV diagnosis. Multivariable logistic regression models with the least absolute shrinkage and selection operator were employed. From 2005 to 2020, 81.2% (3,547 out of 4,366) of PWH had timely LTC. Persons who had longer driving time (adjusted Odds Ratio (aOR): 0.37, 95% CI: 0.14–0.99), were male versus female (aOR: 0.73, 95% CI: 0.58–0.91), had more comorbidities (aOR: 0.73, 95% CI: 0.57–0.94), and lived in counties with a higher percentage of unemployed labor force (aOR: 0.21, 95% CI: 0.06–0.71) were less likely to have timely LTC. However, compared to those aged between 18 and 24 years old, those aged between 45 and 59 (aOR:1.47, 95% CI: 1.14–1.90) or older than 60 (aOR:1.71, 95% CI: 1.14–2.56) were more likely to have timely LTC. Concentrated and sustained interventions targeting underserved communities and the associated travel burden among newly diagnosed PWH who are younger, male, and have more comorbidities are needed to improve LTC and reduce health disparities. [ABSTRACT FROM AUTHOR]

Monellin is a sweet protein that may be used as a safe and healthy sweetener. However, due to its low stability, the application of monellin is currently very limited. Here, we describe a wild-type, a double-sites mutant (E2N/E23A) and a triple-sites mutant (N14A/E23Q/S76Y) of single-chain monellin (MNEI) expressed in transgenic mice milk. Based on enzyme-linked immunoassay (ELISA), Western blot, and sweetness intensity testing, their sweetness and stability were compared. After boiling for 2 min at different pH conditions (2.5, 5.1, 6.8, and 8.2), N14A/E23Q/S76Y-MNEI showed significantly higher sweetness and stability than the wild-type and E2N/E23A-MNEI. These results suggest that N14A/E23Q/S76Y-MNEI shows remarkable potential as a sweetener in the future. [ABSTRACT FROM AUTHOR]

Non-alcoholic fatty liver disease (NAFLD) is prevalent in the aging society. Despite body weight reduction, the prevalence of NAFLD has been increasing with aging for unknown reasons. Here, we investigate the association of DNA methylation age acceleration, a hallmark of aging, with risk of NAFLD. Genome-wide DNA methylation profiles were measured in 95 participants who developed type 2 diabetes during 4-year follow-up, and 356 randomly sampled participants from Shanghai Changfeng Study. DNA methylation age was calculated using the Horvath's method, and liver fat content (LFC) was measured using a quantitative ultrasound method. Subjects with highest tertile of DNA methylation age acceleration (≥ 9.5 years) had significantly higher LFC (7.2% vs 3.1%, P = 0.008) but lower body fat percentage (29.7% vs 33.0%, P = 0.032) than those with lowest tertile of DNA methylation age acceleration (< 4.0 years). After adjustment for age, sex, alcohol drinking, cigarette smoking, BMI, waist circumference, and different type blood cell counts, the risk of NAFLD was still significantly increased in the highest tertile group (OR, 4.55; 95% CI, 1.06–19.61). Even in subjects with similar LFC at baseline, DNA methylation age acceleration was associated with higher increase in LFC (4.0 ± 10.7% vs 0.9 ± 9.5%, P = 0.004) after a median of 4-year follow-up. Further analysis found that 6 CpGs of Horvath age predictors were associated with longitudinal changes in LFC after multivariate adjustment and located on genes that might lead to fat redistribution from peripheral adipose to liver. Combination of the key CpG methylation related to liver fat content with conventional risk factors improves the performance for NAFLD prediction. [ABSTRACT FROM AUTHOR]

Robust matching, especially the number, precision and distribution of feature point matching, directly affects the effect of 3D reconstruction. However, the existing methods rarely consider these three aspects comprehensively to improve the quality of feature matching, which in turn affects the effect of 3D reconstruction. Therefore, to effectively improve the quality of 3D reconstruction, we propose a circle-based enhanced motion consistency and guided diffusion feature matching algorithm for 3D reconstruction named EMC+GD_C. Firstly, a circle-based neighborhood division method is proposed, which increases the number of initial matching points. Secondly, to improve the precision of feature point matching, on the one hand, we put forward the idea of enhancing motion consistency, reducing the mismatch of high similarity feature points by enhancing the judgment conditions of true and false matching points; on the other hand, we combine the RANSAC optimization method to filter out the outliers and further improve the precision of feature point matching. Finally, a novel guided diffusion idea combining guided matching and motion consistency is proposed, which expands the distribution range of feature point matching and improves the stability of 3D models. Experiments on 8 sets of 908 pairs of images in the public 3D reconstruction datasets demonstrate that our method can achieve better matching performance and show stronger stability in 3D reconstruction. Specifically, EMC+GD_C achieves an average improvement of 24.07% compared to SIFT-based ratio test, 9.18% to GMS and 1.94% to EMC+GD_G in feature matching precision. [ABSTRACT FROM AUTHOR]

Osteoporosis (OP) has a significant detrimental impact on the health of the elder. Long-term clinical effectiveness of current drugs used for OP treatment is limited. Therefore, it is very important to explore novel treatment targets for OP. The expression of SNHG1, HMGB1, OCN and OPN in gene level was measured using RT-qPCR, and the protein expression was determined by Western blotting assay. The concentration of IL-1β and IL-18 in supernatant of the bone marrow mesenchymal stem cells (BMSCs) was measured by ELISA. The interaction between SNHG1 and HMGB1 was confirmed by RNA pull down. Besides, alizarin red staining was performed to evaluate the differentiation of BMSCs into osteoblast. SNHG1 and HMGB1 were found to be upregulated in the serum of OP patients. During the osteogenic differentiation of BMSCs, the expression of osteoblastogenesis markers (OCN and OPN) and the activity of ALP were upregulated, while the expression levels of SNHG1 and HMGB1 were decreased in a time-dependent manner. In addition, the interaction between SNHG1 and HMGB1, expression of pyroptosis-associated factors (caspase-1 p20 and GSDMD-N), and secretion of IL-1β and IL-18 were also decreased during osteogenic differentiation. Interestingly, increasing SNHG1 promoted HMGB1 expression, activated pyroptosis, but inhibited osteogenic differentiation. Silencing HMGB1 or inhibiting caspase-1 partially rescued the inhibitory effect of SNHG1 on osteogenic differentiation. Our findings indicate that SNHG1 suppresses the osteogenic differentiation of BMSCs by activating pyroptosis through interaction with HMGB1 and promotion of HMGB1 expression. Our work provides further evidence supporting SNHG1 acts as a potential target for OP treatment, and reveals for the first time that SNHG1 regulates osteogenic differentiation by affecting pyroptosis. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to assess the diagnostic image quality and compare the knee cartilage segmentation results using a controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA)-accelerated 3D-dual echo steady-state (DESS) research package sequence in the knee. Materials and Methods: A total of 64 subjects underwent both two- and fourfold CAIPIRINHA-accelerated 3D-DESS and DESS without parallel acceleration technique of the knee on a 3.0 T system. Two musculoskeletal radiologists evaluated the images independently for image quality and diagnostic capability following randomization and anonymization. The consistency of automatic segmentation results between sequences was explored using an automatic knee cartilage segmentation research application. The descriptive statistics and inter-observer and inter-method concordance of various acceleration sequences were investigated. P values <.05 were considered significant. Results: For image quality evaluation, the image signal-to-noise ratio and contrast-to-noise ratio decreased with the decrease in scanning time. However, it is accompanied by the reduction of artifacts. Using 3D-DESS without parallel acceleration technique as the standard for cartilage grading diagnosisand the diagnostic agreement of two- and fourfold CAIPIRINHA-accelerated 3D-DESS was good, kappa value was 0.860 (P <.001) and 0.804 (p < 0.001), respectively. Regarding cartilage defects, the sensitivity and specificity of the twofold acceleration 3D-CAIPIRINHA-DESS were 95.56% and 97.70%, and the fourfold CAIPIRINHA-accelerated 3D-DESS were 91.49% and 97.65%, respectively. The intraclass correlation coefficients of various sequences in cartilage segmentation were almost all greater than 0.9. Conclusion: The CAIPIRINHA-accelerated 3D-DESS sequence maintained comparable diagnostic and segmentations performance of knee cartilage after a 60% scan time reduction. [ABSTRACT FROM AUTHOR]

Typhoons are becoming frequent and intense with ongoing climate change, threatening ecological security and healthy forest development in coastal areas. Eucalyptus of a predominant introduced species in southern China, faces significant growth challenges because of typhoon. Therefore, it is vital to investigate the variation of related traits and select superior breeding materials for genetic improvement. Variance, genetic parameter, and correlation analyses were carried out on wind damage indices and eight wood properties in 88 families from 11 provenances of 10-year-old Eucalyptus camaldulensis. The selection index equation was used for evaluating multiple traits and selecting superior provenances and family lines as future breeding material. The results show that all traits were highly significantly different at provenance and family levels, with the wind damage index having the highest coefficient of genetic variation. The heritability of each trait ranged from 0.48 to 0.87, with the wind damage index, lignin and hemicellulose contents, and microfibril angle having the highest heritabilities. The wind damage index had a positive genetic correlation with wood density, a negative correlation with lignin content, a negative phenotypic correlation and a negative genetic correlation with microfibril angle. Wind damage index and genetic progress in the selection of eight wood traits varied from 7.2% to 614.8%. Three provenances and 12 superior families were selected. The genetic gains of the wind damage index were 10.2% and 33.9% for provenances and families, and these may be starting material for genetic modification for wind resistance in eucalyptus and for their dissemination to typhoon-prone coastal areas of southern China. [ABSTRACT FROM AUTHOR]

Our study presents the assembly of a high-quality Taihu goose genome at the Telomere-to-Telomere (T2T) level. By employing advanced sequencing technologies, including Pacific Biosciences HiFi reads, Oxford Nanopore long reads, Illumina short reads, and chromatin conformation capture (Hi-C), we achieved an exceptional assembly. The T2T assembly encompasses a total length of 1,197,991,206 bp, with contigs N50 reaching 33,928,929 bp and scaffold N50 attaining 81,007,908 bp. It consists of 73 scaffolds, including 38 autosomes and one pair of Z/W sex chromosomes. Importantly, 33 autosomes were assembled without any gap, resulting in a contiguous representation. Furthermore, gene annotation efforts identified 34,898 genes, including 436,162 RNA transcripts, encompassing 806,158 exons, 743,910 introns, 651,148 coding sequences (CDS), and 135,622 untranslated regions (UTR). The T2T-level chromosome-scale goose genome assembly provides a vital foundation for future genetic improvement and understanding the genetic mechanisms underlying important traits in geese. [ABSTRACT FROM AUTHOR]

China's carbon market is an important way to achieve carbon peak by 2030 and carbon neutrality by 2060. Blockchain technology can solve the problems of low trading efficiency, poor liquidity and regional heterogeneity in China's current carbon market. this paper explores the scenario of applying blockchain technology to China's carbon market. Firstly, this paper considers the allocation of carbon quota in the carbon market based on blockchain technology under policy regulation. The study found that the development of carbon trading pilots was uneven, and some pilot carbon trading volumes were low, presenting a situation of "no market price". Secondly, it describes the enhancement effect of blockchain technology on the carbon market from the perspective of technology and multiple factors. Considering only the technical factors, the enhancement process is an "inverted L" shape, while considering the superposition factors, the enhancement effect is approximately an "S" shape. Finally, based on the social learning model of major technological changes, the paper describes the process of dynamic utilization of blockchain technology by carbon trading enterprises and simulates the evolution law. The government should introduce relevant policies to guide the implementation of blockchain technology in the carbon market to strengthen the vitality of the carbon market and meet the expectation of carbon emission reduction. This paper provides theoretical support for the integration of blockchain technology into China's carbon market. [ABSTRACT FROM AUTHOR]

Stock forecasting research, which aims to predict the future price movement of stocks, has been the focus of investors and scholars. This is important for practical applications related to human-centric computing and information sciences. Previous research has generally only considered market information other than the relationship between stocks, and it is challenging to learn a better representation of stock characteristics by considering the relationship between stocks. In the existing methods of combining market information with stock relationship modeling, most of them use predefined industry relationships to construct stock relationship diagrams, which inevitably ignores the potential interactions between stocks, especially the hidden relationships between stock groups. To this end, a new dual-graph attention model (MF-DAT) based on multisource information fusion is designed. Specifically, first, multiple features are fused by the LMF module, then the long-term and short-term state characteristics of stocks are learned through the first layer of the graph attention layer, and finally the node representation of the stock relationship network constructed by the mining stock cluster structure through community detection is updated. Our model takes into account both stock time-series information and potential relationships between stocks. Experiments on the S &P 500 and NASDAQ datasets show that our MF-DAT has better performance than the 8 SOTA methods that are now more popular. [ABSTRACT FROM AUTHOR]

Stigma against sexual and gender minorities (SGM) populations has serious negative health effects for SGM populations. Despite the growing need for accurate stigma measurement in SGM, there are insufficient valid measurement instruments. Moreover, the lack of consistency in construct usage makes comparisons across studies particularly challenging. A critical review and comparative evaluation of the psychometric properties of the various stigma measures for SGM is necessary to advance our understanding regarding stigma measurement against/among SGMs. Based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a comprehensive search was conducted in 4 bibliographic databases (MEDLINE, PsycINFO, CINAHL, and Web of Science) for empirical articles published from 2010 to 2022 that evaluated the psychometrics properties of measurement instruments assessing stigma against SGMs. The screening, extraction, and scoring of the psychometric properties and methodological quality of selected instruments were performed by following the established standards and COSMIN (Consensus-based Standards for the selection of health Measurement Instruments) checklist, respectively. Of the 2031 studies identified, 19 studies were included that reported psychometric properties of 17 measurement instruments. All instruments, except two, were developed for SGMs (n = 15/17). Most instruments included men who have sex with men (MSM) or gay men (n = 11/15), whereas less than half of the instruments assessed stigma among SGM women (n = 6/15). Internal consistency (Cronbach's alpha) and content validity was reported for all instruments (n = 17); construct and structural validity was also reported for majority of the instruments (n = 15 and 10, respectively). However, test-retest reliability and criterion validity was reported for very few instruments (n = 5 each). Based on the COSMIN checklist, we identified the most psychometrically and methodologically robust instruments for each of the five stigma types: combined stigma, enacted stigma, internalized stigma, intersectional stigma, and perceived stigma. For each stigma type, except anticipated stigma, at least one instrument demonstrated strong promise for use in empirical research; however, the selection of instrument depends on the target population and context of the study. Findings indicated a growing use of instruments assessing multiple stigma types. Future studies need to develop intersectional stigma instruments that account for the multiple and intersecting social identities of SGMs. Additionally, most existing instruments would benefit from further psychometric testing, especially on test-retest reliability, criterion validity, adaptability to different LGBTQIA + populations and cultures. [ABSTRACT FROM AUTHOR]

A knowledge graph (KG) is a knowledge base that integrates and represents data based on a graph-structured data model or topology. Geoscientists have made efforts to construct geoscience-related KGs to overcome semantic heterogeneity and facilitate knowledge representation, data integration, and text analysis. However, there is currently no comprehensive paleontology KG or data-driven discovery based on it. In this study, we constructed a two-layer model to represent the ordinal hierarchical structure of the paleontology KG following a top-down construction process. An ontology containing 19 365 concepts has been defined up to 2023. On this basis, we derived the synonymy list based on the paleontology KG and designed corresponding online functions in the OneStratigraphy database to showcase the use of the KG in paleontological research. [ABSTRACT FROM AUTHOR]

The time-dependent nonlinear mechanical response of rocks is an important problem in rheology, which has not been solved perfectly up to now. Herein, the full-stage creep constitutive equation of rock is established within irreversible internal variable thermodynamics. The concrete form of the constitutive equation of reversible deformation is derived from the evolution function of the introduced internal variable. In addition, the dominant expression of the time-dependent damage variable of irreversible deformation is obtained by the energy dissipation theory and damage mechanics, and the specific expression form of accelerated creep is further given. Finally, the proposed three-dimensional creep model is verified by three kinds of rock, and the parameters related to accelerated creep were analyzed for sensitivity. The results show that the proposed model can well describe the creep behaviors of rock in full stage without the need for subsection simulation. Another, the sensitivity of some parameters is higher in certain situations, which will affect the volatility of the calculated values. The research provides a certain theoretical reference for the safety and life prediction of underground engineering and slopes. [ABSTRACT FROM AUTHOR]

Prior research has documented that anticipated HIV stigma may play an important predictive role in medication adherence among people living with HIV (PLWH). However, longitudinal data on the mechanisms underlying this linkage are scarce. The current study aimed to explore the longitudinal mediation association among anticipated HIV stigma, medication adherence support, HIV self-management, and medication adherence. A four-wave sample consisting of 1,098 Chinese PLWH (Mage = 38.63, SD = 9.20; 63.9% male) with a six-month interval was used in the current study. Participants were asked to complete self-report questionnaires. A path analysis model was analyzed. Results indicate that anticipated HIV stigma at baseline was positively related to medication adherence at Time 4 (T4). Medication adherence support at Time 2 (T2) and HIV self-management at Time 3 (T3) serially mediated the anticipated HIV stigma at Time 1 (T1) and medication adherence at T4. These findings provide critical insights into the mediating roles of medication adherence support and HIV self-management in the relationship between anticipated HIV stigma and medication adherence over time. Such an understanding has important implications for the development of tailored interventions and public health strategies aimed at improving medication adherence among PLWH in the context of HIV-related stigma. [ABSTRACT FROM AUTHOR]

Prior studies demonstrated that perceived social support is negatively associated with behavioral and mental health problems among people living with HIV (PLWH). However, longitudinal data regarding the associations between perceived social support, internalized HIV stigma, future orientation, and depressive symptoms are limited. The current study aimed to investigate the possible indirect relationship between these variables using four-wave follow-up data (6-month intervals) from a sample of 1,098 Chinese PLWH (Mage = 38.63, SD = 9.20, age range: 18–60 years; 63.9% men). All participants were asked to complete an adapted version of Perceived Social Support Scale, Internalized HIV Stigma Scale, Optimism About the Future Scale, and Center of Epidemiological Studies Depression Scale. Results indicated that perceived social support at baseline was negatively related to depressive symptoms at wave 4. Internalized HIV stigma at wave 2 and future orientation at wave 3 indirectly affected the linkage between perceived social support at baseline and depressive symptoms serially over time. This study highlights the essential role of perceived social support in alleviating depressive symptoms among PLWH, and underscores the complex interplay in which internalized HIV stigma and future orientation serially mediated the relationship between perceived social support and depressive symptoms. These findings suggest the need for integrated interventions to enhance social support, address HIV-related stigma, and promote positive future orientation, which could potentially alleviate depressive symptoms and promote mental well-being among PLWH. [ABSTRACT FROM AUTHOR]

Prescription opioid misuse (POM) among people living with HIV (PLWH) is a serious concern due to risks related to dependence and overdose, and PLWH may be at higher risk for POM due to psychosocial stressors including psychological distress. However, scant POM research has examined the role of HIV-related stigma (e.g., internalized stigma, enacted stigma) in POM among PLWH. Guided by minority stress theory, this study examined a hypothesized serial mediation among enacted stigma, internalized stigma, psychological distress, and POM within a sample of Chinese PLWH with pain symptoms enrolled in a wave (between November 2017 and February 2018) of a longitudinal cohort study in Guangxi (n = 116). Models were tested individually for six enacted stigma experiences, controlling for key demographic and health-related variables (e.g., CD4 + count). Results showed HIV-related workplace discrimination was the most common stigma experience (12%,) and 10.3% of PLWH reported POM. Indirect effect analyses showed that internalized stigma was indirectly associated with POM through psychological distress. Internalized stigma and psychological distress mediated the association between workplace discrimination and POM. Family discrimination, gossip, and healthcare discrimination were directly associated with POM. This study suggests that Chinese PLWH may engage in POM to cope with psychological distress that is rooted in HIV-related stigma and highlights the important context of workplace discrimination for PLWH. Implications for interventions to reduce POM among PLWH are discussed. [ABSTRACT FROM AUTHOR]

HIV-related stigma is a major challenge to HIV prevention for sexual minority men (SMM) in Zambia, but little is known about the underlying mechanisms. This study aimed to investigate whether physician–patient interaction quality mediates the relationship between HIV-related stigma and HIV-prevention behaviors among SMM. Data were collected using a cross-sectional survey from 194 SMM (aged: mean = 24.08, SD = 4.27) across four districts in Zambia between February and November 2021. Participants were asked about their demographic characteristics, HIV-related stigma, SMM-related stigma, physician–patient interaction quality, HIV-testing intention, and use of pre-exposure prophylaxis (PrEP). Path analysis was used to test the mediation effect of physician–patient interaction quality in the associations of HIV-related stigma/SMM-related stigma with HIV-testing intention and current PrEP use. Higher self-reported physician–patient interaction quality was negatively associated with HIV-related stigma (β = − 0.444, z = − 2.223, p < 0.05), and positively associated with HIV-testing intention (β = 0.039, z = 5.121, p < 0.001) and current PrEP use (β = 0.008, z = 2.723, p < 0.01). HIV-related stigma among SMM had a significant and negative indirect effect on HIV-testing intention (β = − 0.017, z = − 2.006, p < 0.05), and current PrEP use (β = − 0.004, z = − 2.009, p < 0.05) through physician–patient interaction quality. Contrary to our expectations, SMM-related stigma did not have a significant and negative indirect effect on HIV prevention behaviors through physician–patient interaction quality. Health interventions need to improve physician–patient interaction quality by offering healthcare provider training, targeting HIV-related stigma in healthcare settings, and devising inclusive healthcare policies to promote HIV prevention efforts. [ABSTRACT FROM AUTHOR]

Objective: This research was to unravel the impact of the lncRNA differentiation antagonizing non-protein coding RNA (DANCR)/microRNA (miR)-146a-5p/mitogen-activated protein kinase 6 (MAPK6) axis on spinal cord injury (SCI). Methods: SCI mouse models were established and injected with si-DANCR or miR-146a-5p agomir. The recovery of motor function was assessed by Basso Mouse Scale. SCI was pathologically evaluated, and serum inflammatory factors were measured in SCI mice. Mouse spinal cord neurons were injured by H2O2 and transfected, followed by assessment of proliferation and apoptosis. DANCR, miR-146a-5p, and MAPK6 in tissues and cells were detected, as well as their relationship. Results: DANCR increased and miR-146a-5p decreased in SCI. Silencing DANCR or enhancing miR-146a-5p stimulated the proliferation of mouse spinal cord neurons and reduced apoptosis. DANCR was bound to miR-146a-5p to target MAPK6. DANCR affected the proliferation and apoptosis of spinal cord neurons by mediating the miR-146a-5p/MAPK6 axis. Downregulating DANCR or upregulating miR-146a-5p improved inflammation, the destruction of spinal cord tissue structure, and apoptosis in SCI mice. Conclusion: DANCR affects spinal cord neuron apoptosis and inflammation of SCI by mediating the miR-146a-5p/MAPK6 axis. [ABSTRACT FROM AUTHOR]

Immune thrombocytopenia (ITP), an acquired autoimmune disease, is characterized by immune-mediated platelet destruction. A biomarker is a biological entity that contributes to disease pathogenesis and reflects disease activity. Metabolic alterations are reported to be associated with the occurrence of various diseases. As metabolic biomarkers for ITP have not been identified. This study aimed to identify metabolism-related differentially expressed genes as potential biomarkers for pathogenesis of ITP using bioinformatic analyses.The microarray expression data of the peripheral blood mononuclear cells were downloaded from the Gene Expression Omnibus database (GSE112278 download link: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE112278). Key module genes were intersected with metabolism-related genes to obtain the metabolism-related key candidate genes. The hub genes were screened based on the degree function in the coytoscape sofware. The key ITP-related genes were subjected to functional enrichment analysis. Immune infiltration analysis was performed using a single-sample gene set enrichment analysis algorithm to evaluate the differential infiltration levels of immune cell types between ITP patient and control. Molecular subtypes were identified based on the expression of hub genes. The expression of hub genes in the ITP patients was validated using quantitative real-time polymerase chain reaction analysis. This study identified five hub genes (ADH4, CYP7A1, CYP1A2, CYP8B1, and NR1H4), which were be associated with the pathogenesis of ITP, and two molecular subtypes of ITP. Among these hub genes, CYP7A1 and CYP8B1 involved in cholesterol metabolism,were further verified in clinical samples. [ABSTRACT FROM AUTHOR]

HVE-400 ion implanter is special ion implantation equipment for semiconductor materials boron and phosphorus doping. The ion source and extraction deflection system are at high voltage platform, while the corresponding control system is at ground voltage position. The control signals and measurement signals of various parameters at the high-voltage end need to be transmitted between ground voltage and high voltage through optical fibers to isolate high voltage. Upgrading is carried out due to the aging of the optical fiber transmission control and monitoring system, which cannot work stably. The transformation replaces the original distributed single-point control method with an advanced distributed centralized control method, and integrates all control and monitoring functions into an industrial control computer for digital operation and display. In the computer software, two kinds of automatic calculation of ion mass number are designed. After upgrading, the implanter high-voltage platform control and monitoring system features digitalization, centralized control, high reliability, strong anti-interference, fast communication speed, and easy operation. [ABSTRACT FROM AUTHOR]

To simplify the structure of a multi-frequency base station antenna, this paper presents a three-frequency dual-polarization base station antenna for the 2G/3G/4G/5G band. The antenna consists of two pairs of three-ring dipoles placed at ± 45° to produce a ± 45° dual-polarization characteristic. The three current paths, produced by outer, middle and inner rings, correspond to the three operating bands respectively. Balun feed of the loaded slot and stub optimizes the three-band impedance matching of the antenna. The measurement results show that the impedance bandwidths of the antenna in the three frequency bands reach 46.7% (1.69–2.72 GHz), 19.2% (3.3–4 GHz) and 8.7% (4.4–4.8 GHz). In the operating band, the gain of 3.6–4 GHz is maintained at 7 ± 2 dB, and the gain of the rest of the working band is maintained at 9 ± 0.5 dB as a whole. The cross-polarization ratio of the main axis of the antenna is greater than 26 dB. The antenna designed in this paper has the advantages of wide band, high gain and high polarization purity compared with the traditional multi-frequency base station antenna. These attributes make the proposed antenna a potential candidate for 5G commercial base stations. [ABSTRACT FROM AUTHOR]

Large-scale, evidence-based interventions face challenges to program fidelity of implementation. We developed implementation strategies to support teachers implementing an evidence-based HIV prevention program in schools, Focus on Youth in The Caribbean (FOYC) and Caribbean Informed Parents and Children Together (CImPACT) in The Bahamas. We examined the effects of these implementation strategies on teachers' implementation in the subsequent year after the initial implementation during the COVID-19 pandemic. Data were collected from 79 Grade 6 teachers in 24 government elementary schools. Teachers completed training workshops and a pre-implementation questionnaire to record their characteristics and perceptions that might affect their program fidelity. School coordinators and peer mentors provided teachers with monitoring, feedback, and mentoring. In Year 1, teachers on average taught 79.3% of the sessions and 80.8% of core activities; teachers in Year 2 covered 84.2% of sessions and 72.9% of the core activities. Teachers with "good" or "excellent" school coordinators in the second year taught significantly more sessions on average (7.8 vs. 7.0, t = 2.04, P < 0.05) and more core activities (26.3 vs. 23.0, t = 2.41, P < 0.05) than teachers with "satisfactory" coordinators. Teachers who had a "good" or "satisfactory" mentor taught more sessions than teachers who did not have a mentor (7.9 vs. 7.3; t = 2.22; P = 0.03). Two-level mixed-effects model analysis indicated that teachers' program fidelity in Year 1, confidence in the execution of core activities, and school coordinators' performance were significantly associated with Year 2 implementation dose. Implementation of FOYC + CImPACT was significantly associated with improved student outcomes. Teachers maintained high fidelity to a comprehensive HIV prevention program over 2 years during the COVID-19 pandemic. Future program implementers should consider additional implementation support to improve the implementation of school-based programs. [ABSTRACT FROM AUTHOR]

An ultrasensitive surface-enhanced Raman spectroscopy (SERS) aptamer sensor (aptasensor) using a noble metal nanoparticle-magnetic nanospheres composite was developed for L-theanine detection. It makes use of Fe3O4@Au MNPs and Au@Ag NPs embedded with the Raman reporter 4-mercaptobenzoic acid (4MBA). Au@4MBA@Ag NPs modified by aptamer and Fe3O4@Au MNPs modified by cDNA created the aptasensor with the strongest Raman signal of 4MBA through the specific binding of the aptamer. With the preferred binding of L-theanine aptamer to L-theanine, Au@4MBA@Ag NPs were released from Fe3O4@Au MNPs, causing a linear decrease in SERS intensity to achieve the SERS detection of the L-theanine. The SERS peak of 4MBA at 1078 cm−1 was used for quantitative determination. SERS intensity showed a good log-linear relationship within the range 10−10 to 10−6 M of L-theanine. The aptasensor has a high selectivity for L-theanine compared with other twelve tested analytes. Hence, this aptasensor is a promising analytical tool for L-theanine detection. The developed method was applied to the analysis of real samples, demonstrating excellent performance. The comparison with the standard liquid chromatography mass spectrometry method showed an error within 20%. [ABSTRACT FROM AUTHOR]

Understanding railway accessibility supports railway regulation and development, but few studies consider different perspectives. We study the spatial distribution of accessibility indicators at the county (city) scale in Fujian Province by spatiotemporal syntax and weighted average travel time using railway timetable data. Export trade, rich commercial activities, and high-speed rail had a significant positive effect on objective accessibility. Fuzhou, Sanming, and Longyan were main transfer centers. The most accessible nodes based on weighted average travel time formed a "U"-shaped corridor along the coast. The county-wide average accessibility was 1.72 h. According to spatiotemporal syntax, local general public budget expenditure (0.758993) and export volume of goods-total retail sales of consumer goods (0.956257) had the most interactive impact, while according to weighted average accessibility, import volume of goods (0.618447) and per capita gross regional product-import volume of goods (0.878573) did. These results provide reference for transportation planning and regional development in Fujian Province. [ABSTRACT FROM AUTHOR]

Depression is one of the most common mental health problems among people living with HIV (PLWH). However, the longitudinal psychological mechanism underlying the link of internalized HIV stigma and depressive symptoms remains a research gap. This study attempted to articulate how and to what extent perceived social support and resilience mediate the longitudinal associations between internalized HIV stigma and depressive symptoms. A sample consisting of 1,098 Chinese PLWH (Mage = 38.63, SD = 9.20; 63.9% male) with a six-month interval and four waves of follow-up was used in the current study. Participants were asked to complete self-report questionnaires. The associations among main study variables were examined via a complete longitudinal mediation approach. Results indicated that the linkage between internalized HIV stigma at T1 and depressive symptoms at T4 was serially mediated by perceived social support at T2 and resilience at T3, and perceived social support at T2 and depressive symptoms at T3 serially mediated the relationship between resilience at T1 and internalized HIV stigma at T4. Depressive symptoms at a previous time point consistently predicted the levels of internalized HIV stigma at subsequent time points. The study highlights the complex interplay between internalized HIV stigma, mental health problems, and protective factors in a longitudinal context. The findings suggest the need to incorporate interventions aimed at enhancing social support and resilience in mental health programs for PLWH, as these factors may interrupt the pathway from internalized HIV stigma to depressive symptoms and potentially improve the overall psychological well-being of this population. [ABSTRACT FROM AUTHOR]

Prior studies have demonstrated that HIV-related stigma (e.g., internalized HIV stigma) is detrimental to the physical and mental health (e.g., sleep impairment and depressive symptoms) of people living with HIV (PLWH). However, follow-up data are limited regarding the longitudinal relationships between internalized HIV stigma, future orientation, self-esteem, depressive symptoms, and sleep impairment. The present study attempted to examine a mediation model involving these variables among Chinese PLWH. A two-wave follow-up design (6 months intervals) was employed in a final sample of 1,140 Chinese PLWH (Mage = 41.63, SD = 9.29, age range: 21–67 years; 64.6% men). Participants completed Internalized HIV Stigma Scale, Optimism About the Future Scale, Rosenberg Self-Esteem Scale, Center of Epidemiological Studies Depression Scale, and an adapted version of Pittsburgh Sleep Quality Index. Results revealed that internalized HIV stigma at baseline had a significant direct relationship with sleep impairment over time, and a significant indirect relationship with increased sleep impairment over time via future orientation and depressive symptoms. Furthermore, the linkage between internalized HIV stigma and sleep impairment was serially mediated via self-esteem and depressive symptoms. This study highlights the deleterious effects of internalized HIV stigma on the physical and psychological health of PLWH. The findings suggest that interventions targeting internalized HIV stigma and related factors such as future orientation, self-esteem, and depressive symptoms may facilitate improvements in sleep quality and overall well-being among PLWH. [ABSTRACT FROM AUTHOR]