Improving linkage and retention in treatment among people living with HIV and comorbid substance use.

HIV and substance use interact synergistically to exacerbate disease progression and contribute to poorer engagement in treatment. There is a lack of qualitative research exploring the complexity of systems that impact HIV patients' linkage to and retention in both substance use and HIV care. Data from qualitative individual interviews with 16 HIV and 13 substance use providers were analyzed using applied thematic analysis. Four themes emerged as barriers to linkage to care providers limited knowledge with appropriate referrals; limited access to treatment options within the community; difficult admission criteria to substance use facilities; and communication challenges across providers including power differential. Emergent themes as barriers to treatment retention were: unstable life of people who use drugs; providers' negative attitude and stigma towards patients; and transportation challenges. Interventions are needed to increase provider cross-training in HIV and substance use disorders, reduce barriers to accessing treatment, and improve communication across providers are needed.

Snacking behaviour and nutrients intake among 11-16 years-old students from two different boarding system schools.

This study's main objective was to investigate the difference between snacking behaviors and dietary nutrient intake in boarding system students. A cross-sectional study was conducted at Beijing's closed and semi closed boarding management school. The snack consumption questionnaire collected snack consumption behaviors; three-day recall periods for food consumption data were collected through the canteen weighing method and 24-h dietary recall of students' intakes. For closed and semi closed boarding management schools, the percentage of never having snacking behaviors was 12.95% and 2.69% on weekdays and 2.16% and 4.19% on weekends. A higher proportion of respondents chose unhealthy snacks in closed boarding management schools. The main problems in closed boarding management schools were the excessively low percentage of energy from carbohydrates and the excessively high percentage of energy from fat. Both deficiency and excess energy supply ratios of protein, carbohydrate, and fat were present in semi-closed boarding management schools. There was a high risk of calcium, iron, zinc, magnesium, and selenium deficiency for most students in both management schools. The closed-school girls had the highest risk of suffering from iron deficiency. Vitamin A, vitamin B1, vitamin B2, vitamin C, and vitamin E deficiencies were severe in both schools, especially vitamin C, vitamin A, and vitamin B2 deficiencies in semi-closed boarding management schoolboys. Effective nutritional interventions should be taken to improve the nutritional status of both boarding management and school students.

Anti-explosion performance analysis of marine interdiction system based on ALE method.

As a security protection system, the marine interdiction system can be set up outside the port to provide security protection for the ships and facilities there as well as to prevent explosions and ship collisions. This paper uses the Arbitrary Lagrangian Euler (ALE) method in ANSYS LS/DYNA to simulate a blast for an interdiction system close to the water's surface. The simulated shock wave overpressure is extracted and fitted, and when compared with the empirical formula, it is discovered that the trend and value are in good agreement. In the case of controlled calculation scale, closer to the real situation and only consider the explosion transient effect, analysis of the dynamic reaction of the interdiction system under various operating situations to test its anti-explosion performance would help to confirm the validity of the proportional burst distance as a criterion for near-water explosion damage. The safe distance for a 500 kg TNT charge is 4.62 m, and the safe distance for a 1500 kg TNT charge is 6.37 m, when the proportional burst distance reaches 0.5, some of the cable tension reaches the breaking tension level at this moment, and foam floating balls appear to fail for some elements, but the system as a whole is still in a safe state. The research will also provide support for the optimization of the interdiction system and also provide support for the optimization and development of the marine interdiction system.

Extensive overview of soil constitutive relations and applications for geotechnical engineering problems.

A state-of-the-art review has been conducted in this work on soil constitutive modeling, which has emphasized on: soil type, ground-water conditions, loading conditions, structural behavior, constitutive relation discipline, and dimensions. By extension also, the soil constitutive applications were reviewed on the bases of: single discipline dealing with soil mechanical properties constitutive modeling which included slope stability problems, bearing capacity, settlement of foundations, earth pressure problems, soil dynamics, soil structure interaction, thermal and hydrological conditions; bi-discipline (coupled problems) which solve problems related to thermomechanical (freeze/thaw conditions), smoothed particle hydrodynamics (SPH) and hydromechanical (consolidation, collapse and liquefaction) conditions in soils and rocks and multi-discipline constitutive models which solve complex problems related to thermo-hydromechanical (THM) conditions in soils and rocks. This work has shown that smoothed particle hydrodynamics (SPH) and hydromechanical (HM) models, which belong to bi-discipline or coupled conditions are better suited for geotechnical applications, generally, while thermo-hydromechanical (THM) models, which belong to multi-discipline are better suited to solving freeze/thaw and thermal piles problems and these are proven with high performance and flexibility.

A novel reverse transcription recombinase polymerase amplification assay for rapid detection of GI.1 genotype of rabbit hemorrhagic disease virus.

Rabbit Viral Hemorrhagic Disease (RHD) is a highly contagious and fatal infection, resulting in considerable economic losses to the rabbit industry. Consequently, it is essential to develop a fast and accurate diagnostic method for RHDV GI.1. In this study, a rapid simple reverse transcriptase recombinase polymerase amplification (RTRPA) for RHDV GI.1 was successfully developed using specific primers to RHDV GI.1 VP60 gene. Results indicated that the entire amplification process could be achieved in an isothermal condition at 40°C for 30 minutes, with good specificity and no reaction to other common rabbit disease pathogens, and a high sensitivity of upto 0.1LD50 of RHDV GI.1. Then, RT-RPA method was used to detect 1144 clinical samples, and the positive rates were 0.95%, 1.29% and 2.50% in Zaozhuang, Linyi, and Liaocheng in Shandong Province, respectively (the Fisher's exact test, P = 0.413), suggesting that there is no significant difference in RHDV GI.1 infection among the different regions. In conclusion, this study established a RT-RPA assay which is suitable for quick detection and monitoring of RHDV GI.1, thus making it a viable option for epidemiological surveillance.

Machine learning used for simulation of MitraClip intervention: A proof-of-concept study.

Introduction: Severe mitral regurgitation (MR) is a mitral valve disease that can lead to lifethreatening complications. MitraClip (MC) therapy is a percutaneous solution for patients who cannot tolerate surgical solutions. In MC therapy, a clip is implanted in the heart to reduce MR. To achieve optimal MC therapy, the cardiologist needs to foresee the outcomes of different scenarios for MC implantation, including the location of the MC. Although finite element (FE) modeling can simulate the outcomes of different MC scenarios, it is not suitable for clinical usage because it requires several hours to complete. Methods: In this paper, we used machine learning (ML) to predict the outcomes of MC therapy in less than 1 s. Two ML algorithms were used: XGBoost, which is a decision tree model, and a feed-forward deep learning (DL) model. The MC location, the geometrical attributes of the models and baseline stress and MR were the features of the ML models, and the predictions were performed for MR and maximum von Mises stress in the leaflets. The parameters of the ML models were determined to achieve the minimum errors obtained by applying the ML models on the validation set. Results: The results for the test set (not used during training) showed relative agreement between ML predictions and ground truth FE predictions. The accuracy of the XGBoost models were better than DL models. Mean absolute percentage error (MAPE) for the XGBoost predictions were 0.115 and 0.231, and the MAPE for DL predictions were 0.154 and 0.310, for MR and stress, respectively. Discussion: The ML models reduced the FE runtime from 6 hours (on average) to less than 1 s. The accuracy of ML models can be increased by increasing the dataset size. The results of this study have important implications for improving the outcomes of MC therapy by providing information about the outcomes of MC implantation in real-time.

A scoping review on innovative methods for personality observation.

Background: Personality's investigation has always been characterized as a central area of research for psychology, such that it was established in the 1920s as an autonomous scientific-disciplinary field. Identifying and observing the people's typical ways of "being in the world" has made possible to define the predictability of a pattern of behavioral responses related both to the possession of distinct characteristics of the agent subject and to specific environmental situations. In the actual scientific landscape, there is a strand of research that makes a description of personality through methodologies and indicators not usually used by psychology, but scientifically validated through standardized procedures. Such studies seem to be significantly increasing and reflect the emerging need to have to consider the human being in his or her complexity, whose existential and personal dimensions can no longer be traced to classification systems that are divorced from the epochal reference. Objective: In this review, attention is focused on highlighting publications in the literature that have included the use of unconventional methods in the study of nonpathological personality, based on the Big Five theoretical reference model. To better understand human nature, an alternative based on evolutionary and interpersonal theory is presented. Design: Online databases were used to identify papers published 2011-2022, from which we selected 18 publications from different resources, selected according to criteria established in advance and described in the text. A flow chart and a summary table of the articles consulted have been created. Results: The selected studies were grouped according to the particular method of investigation or description of personality used. Four broad thematic categories were identified: bodily and behavioral element; semantic analysis of the self-descriptions provided; integrated-type theoretical background; and use of machine learning methods. All articles refer to trait theory as the prevailing epistemological background. Conclusion: This review is presented as an initial attempt to survey the production in the literature with respect to the topic and its main purpose was to highlight how the use of observational models based on aspects previously considered as scientifically uninformative (body, linguistic expression, environment) with respect to personality analysis proves to be a valuable resource for drawing up more complete personality profiles that are able to capture more of the complexity of the person. What has emerged is a rapidly expanding field of study.

Factors that favor or hinder the acquisition of a digital culture in large organizations in Chile.

Organizational culture is often perceived as a valuable strategic asset supporting business transformation and the exploitation of digital technologies. Still, it can also be the source of inertia that impedes change. The research question proposed is What factors favor or hinder the acquisition of digital culture in large organizations in Chile? The aim is to rank factors that promote a digital culture based on the perception of executives using the Delphi method. The expert panel was selected with strategic criteria, considering practical knowledge, up-to-date experience on the subject, and having high decision-making positions in large companies in Chile. The main statistics used are media, maximum, minimum, and average range, along with the search for consensus determined by the interquartile range and Kendall's W concordance coefficient. Results show a high level of agreement on the importance of digital strategy and digital leadership factors when favoring a digital culture in large companies in Chile. However, large companies in Chile must pay attention to the conservative triad of elements that characterize Chilean work culture that considers the belief that changes are exclusively possible when commanded by the strategic apex, a hierarchical work culture that prevents collaborative work, and the rejection of disruptive change. These factors and cultural characteristics will likely hinder any attempt to succeed in a digital transformation plan.

How to facilitate the implementation of 3D models in China by applying good in vitro method practice for regulatory use.

The Organization for Economic Co-operation and Development (OECD) Guidance Document No. 34 and No. 286 on Good In Vitro Method Practices (GIVIMPs) for the development and implementation of in vitro methods for regulatory use in human safety assessment have been endorsed. Considering that China is accelerating the development of alternative approaches in both research and acceptance, early application of these principles is beneficial to the implementation and acceptance of in vitro alternative methods in China. To promote the replacement of animal testing for regulatory use, L'Oréal initiated the EpiSkin™ skin irritation test (SIT) implementation program in China. More than 50 external scientists participated, and the method has been established in 34 organizations including authorities, industries, and testing service laboratories. Taking two collaborations with Guangdong CDC and Shanghai SGS for in vitro SIT as examples, we demonstrated a method implementation process in good alignment with the OECD principles. The current study illustrated the practical way in which both OECD Guidance documents assisted in the transfer and establishment of in vitro approaches and further promoted the future scientific recognition and acceptance of new OECD-accepted alternative testing methodologies in China.

Erratum: Shear induced diffusion of platelets revisited.

[This corrects the article DOI: 10.3389/fphys.2022.985905.].

Corrigendum: A mixed-method analysis of inequalities associated with adverse sexual and reproductive health outcomes and the requisite interventions among young women in Durban informal settlements, South Africa.

[This corrects the article DOI: 10.3389/fpubh.2022.810216.].

Handheld virus concentration method using a hollow fiber filter module.

A virus concentration method is required for viral vaccine manufacturing and virus-related research. However, concentration methods, such as ultracentrifugation, often require capital investment. We report a simple and easy-to-use handheld syringe method for virus concentration using a hollow fiber (HF) filter module, which can be applicable to viruses of different sizes, without incorporating any special machines or reagents. This virus concentration method does not use pumps, which might cause shear stress for virus particles; therefore, it is useful for stress-sensitive virus particles, and virus-like particles, as well as other proteins. The clarified harvest of flavivirus (Zika virus) was concentrated using an HF filter module and compared with a centrifugal ultrafiltration device (CUD) for demonstration of the HF filter method. The HF filter method achieved concentration of the virus solution in less time than the CUD. The yield comparison of the recovered virus solution indicated that recovery from the developed method was comparable to using the CUD, and infectivity was maintained throughout.•The Zika virus was concentrated from 200 mL to 5 mL within 45 min using the HF filter and handheld syringe module method.•The handheld HF filter method may be applicable to stress-sensitive viruses and proteins of different sizes.•The virus concentration process should be conducted in a safety cabinet, which is preferred for virus containment.

Novel combinatory method for surface and crystallinity analysis of crystalline materials: Combinatory analysis method for crystalline materials surface.

This work is dedicated to developing a method of combined surface morphology- and crystallographic analysis for crystalline silicon. To demonstrate the applicability of the method, a series of chemical operations, such as polishing and texturing, were applied to multi-crystalline silicon samples. The samples were pre- and post-analysed with WLI and Laue techniques, and the experimental data allowed construction of maps for crystal orientation to etching rate dependency. The study illustrates the strengths of the combinatory technique as an alternative to existing techniques such as atom force microscopy (AFM) and electron backscatter diffraction (EBSD).•Combination of LAUE tool and white light interferometry techniques.•Alternative time-effective method to EBSD.•Analysis of surface morphology and crystallographic properties for chemical processing.

A new non-destructive method for the estimation of annual height increment in standing trees.

Measurement of tree growth is needed in many scientific and production sectors, especially in forestry for wood and biomass production. The assessment of annual height increment in standing living trees, under ambient field conditions, is challenging or even impossible. This study develops a new simple non-destructive method for the estimation of annual height increment in standing trees, based on sampling two increment cores for each targeted tree.,. Τhe method combines the tree annual ring-analysis and trigonometry. The extracted data by the method application can be widely used in many forest disciplines, such as forest ecology, silviculture, and forest management.•Annual height increment in standing trees is a valuable parameter needed in biology, ecology, and forestry.•Measurement of annual height increment in standing trees is a very difficult tusk.•This study develops a new non-destructive and simple method for the estimation of annual height increment in standing trees.

A novel and unique refraction-based optical recording system for pharmacological investigations on isolated muscle preparations.

In the field of neuroscience and ecotoxicology, there is a great need for investigating the effect(s) of a variety of different chemicals (e.g., pharmacologically active compounds, pesticides, neurotransmitters, modulators) at different biological levels. Different contractile tissue preparations have provided excellent model systems for in vitro pharmacological experiments for a long time. However, such investigations usually apply mechanical force transducer-based approaches. Thus, a rapid, easy, cheap, digital, and reproducible in vitro pharmacological method based on an effective, 'non-invasive' (compared to the force-transducer approaches), refraction-based optical recording approach and isolated heart preparations was developed.•A versatile and unique refraction-based optical recording system with a Java application was developed.•The recording system was tested and validated on isolated heart preparations obtained from the widely used invertebrate model organism, the great pond snail (Lymnaea stagnalis).•The recording system illustrates the progression of technology from the mechanical force transducer system and can represent a suitable tool in ecotoxicology or neuroscience.

MOSY : A method for synthetic opinions to yield a robust fuzzy expert system.

In many domains, decision-making is challenging, as experts are often limited in availability. However, without a sufficient number of expert opinions, the associated solutions would not be robust. Motivated by this, MOSY , a Method for SYnthetic Opinions has been developed to produce a robust Fuzzy Expert System (FES) by specifying N s r , the number of (synthetic) experts per rule. For every one of these "synthetic experts", MOSY produces an opinion from a normal distribution characteristic of a human expert. Correspondingly, the FES is used to produce an opinion from an antecedent vector whose elements are sampled from a uniform distribution. Synthetic and human opinion vectors, resulting from all rules and number of experts per rule, are driven to agree through optimization of weights associated with the fuzzy rules. The weight-optimized MOSY was tested against sets of human expert opinions in two distinct domains, namely, an industrial development project (IDP) and passenger car performance (PCP). Results showed that the synthetic and human expert opinions correlated between 91.4% and 98.0% on an average over 5 ≤ N s r ≤ 250 , across five outcomes of the IDP. Likewise, for PCP, respective correlations varied between 85.6% and 90.8% for 10 ≤ N s r ≤ 150 across the two performance measures. These strong correlations indicate that MOSY is capable of producing synthetic opinions to yield a robust FES where sufficient human experts are not available.•This method, known as MOSY , generates synthetic expert opinions to achieve robustness in an FES.• MOSY was validated against sets of human expert opinions in two distinct domains.•Strong correlations were observed between the synthetic and human expert opinions.

The Chinese Communist Party and regulatory transparency in China's food industry.

While it is widely accepted that the Chinese Communist Party (CCP) occupies a dominant position in the Chinese political system, few studies have demonstrated CCP's dominant position based on rigorous statistical analysis. Our paper presents the first such analysis using an innovative measure of regulatory transparency in the food industry across nearly 300 prefectures in China over 10 years. We show that actions by the CCP, while broadly scoped and not targeting the food industry, significantly improved regulatory transparency in the industry. In sharp contrast, food-industry-specific interventions by the State Council, which exercises direct regulatory supervision of the industry, had no impact on regulatory transparency. These results hold in various specifications and robustness checks. Our research contributes to research in China's political system by empirically and explicitly demonstrating the dominating power of the CCP.

Statistical methods for handling missing data to align with treatment policy strategy.

The International Council for Harmonization (ICH) E9(R1) addendum recommends choosing an appropriate estimand based on the study objectives in advance of trial design. One defining attribute of an estimand is the intercurrent event, specifically what is considered an intercurrent event and how it should be handled. The primary objective of a clinical study is usually to assess a product's effectiveness and safety based on the planned treatment regimen instead of the actual treatment received. The estimand using the treatment policy strategy, which collects and analyzes data regardless of the occurrence of intercurrent events, is usually utilized. In this article, we explain how missing data can be handled using the treatment policy strategy from the authors' viewpoint in connection with antihyperglycemic product development programs. The article discusses five statistical methods to impute missing data occurring after intercurrent events. All five methods are applied within the framework of the treatment policy strategy. The article compares the five methods via Markov Chain Monte Carlo simulations and showcases how three of these five methods have been applied to estimate the treatment effects published in the labels for three antihyperglycemic agents currently on the market.

Development of an objective method to quantify hippocampal dentation.

Hippocampal dentation (HD) refers to a series of ridges (dentes) seen on the inferior aspect of the hippocampus. The degree of HD varies dramatically across healthy individuals, and hippocampal pathology may result in loss of HD. Existing studies show associations between HD and memory performance in healthy adults as well as temporal lobe epilepsy (TLE) patients. However, until now studies relied on visual assessment of HD as no objective methods to quantify HD have been described. In this work, we describe a method to objectively quantify HD by transforming the characteristic 3D surface morphology of HD into a simplified 2D plot for which area under the curve (AUC) was calculated. This was applied to T1w scans of 59 TLE subjects, each with one epileptic hippocampus and one normal appearing hippocampus. Results showed that AUC significantly correlated with the number of dentes based on visual inspection (p < .05) and correctly sorted a set of hippocampi from least to most prominently dentated. Intra- and inter-rater reliability was nearly perfect (ICC ≥ 0.99). AUC values were significantly lower in epileptic hippocampi compared to contralateral hippocampi (p = .00019), consistent with previously published findings. In the left TLE group, the AUC values from the contralateral hippocampi showed a positive trend (p = .07) with verbal memory acquisition scores but was not statistically significant. The proposed approach is the first objective, quantitative measurement of dentation described in the literature. The AUC values numerically capture the complex surface contour information of HD and will enable future study of this interesting morphologic feature.