Mechanism Of Use Research Articles

A Dirichlet Process Model for Directional-linear Data with Application to Bloodstain Pattern Analysis

Directional data require specialized models because of the non-Euclidean nature of their domain. When a directional variable is observed jointly with linear variables, modeling their dependence adds an additional layer of complexity. A Bayesian nonparametric approach is introduced to analyze directional-linear data. Firstly, the projected normal distribution is extended to model the joint distribution of linear variables and a directional variable with arbitrary dimension projected from a higher-dimensional augmented multivariate normal distribution. The new distribution is called the semi-projected normal distribution (SPN) and can be used as the mixture distribution in a Dirichlet process model to obtain a more flexible class of models for directional-linear data. Then, a conditional inverse-Wishart distribution is proposed as part of the prior distribution to address an identifiability issue inherited from the projected normal and preserve conjugacy with the SPN. The SPN mixture model shows superior performance in clustering on synthetic data compared to the semi-wrapped Gaussian model. The experiments show the ability of the SPN mixture model to characterize bloodstain patterns. A hierarchical Dirichlet process model with the SPN distribution is built to estimate the likelihood of bloodstain patterns under a posited causal mechanism for use in a likelihood ratio approach to the analysis of forensic bloodstain pattern evidence.

Endophytic Bacterial Biofilm-Formers Associated with Antarctic Vascular Plants.

Deschampsia antarctica and Colobantus quitensis are the only two vascular plants colonized on the Antarctic continent, which is usually exposed to extreme environments. Endophytic bacteria residing within plant tissues can exhibit diverse adaptations that contribute to their ecological success and potential benefits for their plant hosts. This study aimed to characterize 12 endophytic bacterial strains isolated from these plants, focusing on their ecological adaptations and functional roles like plant growth promotion, antifungal activities, tolerance to salt and low-carbon environments, wide temperature range, and biofilm formation. Using 16S rRNA sequencing, we identified several strains, including novel species like Hafnia and Agreia. Many strains exhibited nitrogen-fixing ability, phosphate solubilization, ammonia, and IAA production, potentially benefiting their hosts. Additionally, halotolerance and carbon oligotrophy were also shown by studied bacteria. While some Antarctic bacteria remain strictly psychrophilic, others demonstrate a remarkable ability to tolerate a wider range of temperatures, suggesting that they have acquired mechanisms to cope with fluctuations in environmental temperature and developed adaptations to survive in intermediate hosts like mammals and/or birds. Such adaptations and high plasticity of metabolism of Antarctic endophytic bacteria provide a foundation for research and development of new promising products or mechanisms for use in agriculture and technology.

Geometrically nonlinear design of a rhombus-nested compliant amplification mechanism for use in precision actuators and sensors

A rhombus-nested compliant amplification mechanism is proposed for versatile usages of precision actuators and force sensors with an easy tuning of stiffness. Such a monolithically planar rhombus-nested compliant mechanism has the dual functions of two-stage displacement or force amplification by changing the input and output ports. It features a large ratio of inter-stage stiffness, thus resulting in an enhanced amplification ratio, load capacity and dynamic bandwidth. The geometrically nonlinear analytical equations of displacement amplification ratio and input stiffness are derived in the presence of pronounced axially-loaded stiffening and kinematic-arching effects based on the beam constraint model. It allows an insightful evaluation of geometrically nonlinear deformation behaviors sensitive to structural dimensions in a parametric way. Insights into geometrically nonlinear behaviors in the case of large-stroke and axially-loaded motions are discussed as well. A proof-of-concept prototype with embedded piezoelectric stacks is fabricated with the dimensions of 74mm × 60mm × 10 mm. The dual functions of precision actuator with amplified motion strokes and force sensor with enhanced sensitivity are experimentally demonstrated.

Working mechanisms of the use and acceptability of ecological momentary interventions: a realist evaluation of a guided self-help ecological momentary intervention targeting self-esteem

BackgroundTechnology improves accessibility of psychological interventions for youth. An ecological momentary intervention (EMI) is a digital intervention geared toward intervening in daily life to enhance the generalizability and ecological validity, and to be able to intervene in moments most needed. Identifying working mechanisms of the use of ecological momentary interventions might generate insights to improve interventions.MethodsThe present study investigates the working mechanisms of the use and acceptability of an ecological momentary intervention, named SELFIE, targeting self-esteem in youth exposed to childhood trauma, and evaluates under what circumstances these mechanisms of use and acceptability do or do not come into play. A realist evaluation approach was used for developing initial program theories (data: expert interviews and a stakeholders focus group), and subsequently testing (data: 15 interviews with participants, a focus group with therapists, debriefing questionnaire), and refining them.ResultsThe SELFIE intervention is offered through a smartphone application enabling constant availability of the intervention and thereby increasing accessibility and feasibility. When the intervention was offered on their personal smartphone, this enhanced a sense of privacy and less hesitance in engaging with the app, leading to increased disclosure and active participation. Further, the smartphone application facilitates the practice of skills in daily life, supporting the repeated practice of exercises in different situations leading to the generalizability of the effect. Buffering against technical malfunction seemed important to decrease its possible negative effects.ConclusionsThis study enhanced our understanding of possible working mechanisms in EMIs, such as the constant availability supporting increased accessibility and feasibility, for which the use of the personal smartphone was experienced as a facilitating context. Hereby, the current study contributes to relatively limited research in this field. For the field to move forward, mechanisms of use, and acceptability of EMIs need to be understood. It is strongly recommended that alongside efficacy trials of an EMI on specific target mechanisms, a process evaluation is conducted investigating the working mechanisms of use.Trial registrationThe current paper reports on a realist evaluation within the SELFIE trial (Netherlands Trial Register NL7129 (NTR7475)).

Connaissances des médecins tunisiens à propos de la cigarette électronique

The electronic cigarette is a new-generation smoking product whose mechanism of use could, in theory, minimize adverse health effects. Determine the knowledge and perceptions of a sample of Tunisian doctors regarding electronic cigarettes. We conducted a descriptive cross-sectional study over a two-month period with a sample of Tunisian doctors. We used an online self-questionnaire on physicians' knowledge and perceptions of e-cigarettes. Data were obtained from 216 physicians. Of the participants, 97.2% were familiar with e-cigarettes, 56.5% reported low knowledge, and 83.4% expressed motivation to learn more about e-cigarettes. Overall, 83.8% of doctors felt that electronic cigarettes are harmful to the user's health. Use of this product would increase the risk of cancer according to 73.1% of participants, the risk of cardiovascular disease according to 68.5% of participants, and the risk of chronic lung disease according to 79.2% of participants. The perception of e-cigarettes as harmful to the user's health was associated with the physicians' medical specialty (p=0.032). The recommendation of e-cigarettes as a smoking cessation tool was negatively correlated with addictology training (p=0.027). Physicians' knowledge of electronic cigarettes is heterogeneous, reflecting the current lack of information and consensus.

Modulating charge storage mechanism of cobalt-tungsten nitride electrodes using in situ formed metal-p-n heterojunction for ultrahigh energy density supercapattery

Supercapatteries combine both diffusion-controlled and capacitive charge storage mechanisms to simultaneously deliver exceptional power density and energy density. Though developing materials that combine both charge storage mechanisms for use as supercapattery electrodes is difficult, one solution has been to modify a material that inherently has one of these mechanisms so that it also exhibits the other form of charge storage. In the present study, we modulate the electrochemical reconstruction of a W5N4 electrode to modify its charge storage from pure battery-type to pseudocapacitive, thus enhancing its specific capacity and cyclic stability. This modulation was carried out by embedding Co in W5N4 (Co-W5N4), leading to the formation of W and N-doped Co(OH)2 as an active phase and producing a high specific capacity of 2211 C g−1 at 2 A g−1. The incorporation of a thin layer of TiO2 (Co-W5N4/TiO2) through atomic layer deposition minimized tungsten dissolution during reconstruction, thus generating in-situ a dynamic metal–p-n junction heterostructure (Co-W5N4||Co(OH)2||TiO2) that modulated the charge flow, achieving high-rate capability (retaining 53.1 % at 50 A g−1 compared to 2 A g−1) and cyclic stability (82.8 % after 100,000 cycles at a high current density of 40 A g−1). As illustrated by operando electrochemical impedance spectroscopy and physicochemical analysis, the dynamic response of metal–p-n junction sustains the pseudocapacitive charge storage mechanism at high current rate. This study thus demonstrates the formation of metal-p-n heterojunction and describes its dynamic response under actual charge/discharge operating conditions, providing useful information for the design of energy storage electrodes and energy conversion catalysts.

National Public Health Dashboards: Protocol for a Scoping Review.

The COVID-19 pandemic highlighted the importance of robust public health data systems and the potential utility of data dashboards for ensuring access to critical public health data for diverse groups of stakeholders and decision makers. As dashboards are becoming ubiquitous, it is imperative to consider how they may be best integrated with public health data systems and the decision-making routines of diverse audiences. However, additional progress on the continued development, improvement, and sustainability of these tools requires the integration and synthesis of a largely fragmented scholarship regarding the purpose, design principles and features, successful implementation, and decision-making supports provided by effective public health data dashboards across diverse users and applications. This scoping review aims to provide a descriptive and thematic overview of national public health data dashboards including their purpose, intended audiences, health topics, design elements, impact, and underlying mechanisms of use and usefulness of these tools in decision-making processes. It seeks to identify gaps in the current literature on the topic and provide the first-of-its-kind systematic treatment of actionability as a critical design element of public health data dashboards. The scoping review follows the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. The review considers English-language, peer-reviewed journal papers, conference proceedings, book chapters, and reports that describe the design, implementation, and evaluation of a public health dashboard published between 2000 and 2023. The search strategy covers scholarly databases (CINAHL, PubMed, Medline, and Web of Science) and gray literature sources and uses snowballing techniques. An iterative process of testing for and improving intercoder reliability was implemented to ensure that coders are properly trained to screen documents according to the inclusion criteria prior to beginning the full review of relevant papers. The search process initially identified 2544 documents, including papers located via databases, gray literature searching, and snowballing. Following the removal of duplicate documents (n=1416), nonrelevant items (n=839), and items classified as literature reviews and background information (n=73), 216 documents met the inclusion criteria: US case studies (n=90) and non-US case studies (n=126). Data extraction will focus on key variables, including public health data characteristics; dashboard design elements and functionalities; intended users, usability, logistics, and operation; and indicators of usefulness and impact reported. The scoping review will analyze the goals, design, use, usefulness, and impact of public health data dashboards. The review will also inform the continued development and improvement of these tools by analyzing and synthesizing current practices and lessons emerging from the literature on the topic and proposing a theory-grounded and evidence-informed framework for designing, implementing, and evaluating public health data dashboards. DERR1-10.2196/52843.

SCIENTIFICALLY BASED RECOMMENDATIONS FOR INCREASING THE EFFICIENCY OF REAL ESTATE USE AT THE REGIONAL LEVEL

It is proved that real estate is an essential element affecting the functioning of regions, as its use forms the material basis of regional development. In recent years, there has been a decrease in the efficiency of real estate use at the regional level. In this context, we should note the negative impact of external and internal factors and the consequences of Russian aggression. Therefore, theoretical provisions regarding the definition of real estate need further improvement, considering international experience. In addition, the approach to applying the method and models for forming a quantitative basis for real estate use to develop relevant scientifically based recommendations needs reconsideration. The research has achieved the goal of developing scientifically based recommendations for increasing the efficiency of real estate use at the regional level. We have solved the following tasks in the article: substantiating theoretical provisions regarding the definition of regional real estate, forming directions for improving the efficiency of real estate use at the regional level, and proposing a mechanism for using real estate. Real estate is defined as a set of land plots and other objects located on it, forming spatial support from above and below, the use of which has a long-term nature and the movement of which leads to a violation of their functional characteristics. Spatial, functional, investment, and environmental factors influence the formation and use of real estate. Their interaction and definition allow building a multi-level system of assessment indicators to form a quantitative basis for making informed decisions. To increase the level of real estate use in the regions, we have further developed methodological approaches, as recommendations, to the assessment of real estate use based on methods and models that characterise the directions and features of the use of spatial, functional, investment, and environmental support, which provide the opportunity to form a mathematical basis and identify the appropriate toolkit for developing a method for assessing the level of real estate use in regions. Of particular importance are the results of mathematical modelling of real estate use processes at the regional level based on the establishment of relationships between systemic spatial, functional, investment, and environmental factors and an integral indicator by applying the method of correlation-regression analysis, model adequacy criteria, which allows determining directions for increasing the efficiency of use of the real estate. A mechanism for the use of real estate at the regional level is proposed based on the results of the assessment, mathematical modelling, and forecasting of the factors of real estate use, which, unlike the existing ones, made it possible to determine the directions of implementation of scientifically based recommendations and build geospatial monitoring maps. As a result of the study, we have developed a mechanism for real estate use at the regional level as a comprehensive tool for ensuring the efficiency of real estate use in the regions. Keywords: real estate, regional level, efficiency of use, recommendations, mechanism, geospatial monitoring maps, methods, models.

Overdose from Unintentional Fentanyl Use when Intending to Use a Non-opioid Substance: An Analysis of Medically Attended Opioid Overdose Events.

Fentanyl-mixed and substituted heroin is well-documented, but less is known about unintentional fentanyl use among people using stimulants. To determine the prevalence of and racial and ethnic disparities in unintentional fentanyl use among people experiencing a medically attended opioid overdose, we reviewed 448 suspected non-fatal overdose cases attended by a community paramedic overdose response team in San Francisco from June to September 2022. We applied a case definition for opioid overdose to paramedic records and abstracted data on intended substance use prior to overdose. Among events meeting case criteria with data on intended substance use, intentional opioid use was reported by 57.3%, 98.0% of whom intended to use fentanyl. No intentional opioid use was reported by 42.7%, with most intending to use stimulants (72.6%), including methamphetamine and cocaine. No intentional opioid use was reported by 58.5% of Black, 52.4% of Latinx, and 28.8% of White individuals (p = 0.021), and by 57.6% of women and 39.5% of men (p = 0.061). These findings suggest that unintentional fentanyl use among people without opioid tolerance may cause a significant proportion of opioid overdoses in San Francisco. While intentional fentanyl use might be underreported, the magnitude of self-reported unintentional use merits further investigation to confirm this phenomenon, explore mechanisms of use and disparities by race and ethnicity, and deploy targeted overdose prevention interventions.

An assessment of the conflict resolution mechanisms in use by Ghanaian public universities

An assessment of the conflict resolution mechanisms in use by Ghanaian public universities

Уніфікація показників для контролю за різними формами монопольної влади

The paper demonstrates the necessity and possibility to unify the controlling indicators for different types of monopoly (monopolistic competition, oligopoly, natural monopoly) in order to increase efficiency of the monopoly control. Especially this concerns the complex types of monopoly from the point of view of its control, for example, oligopoly. The complexity of this type of monopoly control is associated with the actual inevitability of the appearance of tacit pricing coordination among the oligopoly participants. And the problem is not so much in admitting that the very fact of such a coordination is difficult to prove as in defining the harm it causes to the market and the entire economy. This paper shows the possibility to use the quantitative indexes of monopoly control proposed based on author’s CMI-model of macroeconomic dynamics, to apply these indexes for various types of monopoly. A distinctive feature of this model is the possibility to calculate the vector of “natural” prices for any sector (i.e., the prices that correspond to the state of perfect competition even if it is impossible to reach this state in the existing markets). And the comparison of the actual market price with the “natural” one allows us to control a monopoly using the price indexes alone. In turn, it allows us to perform a monopoly control at various hierarchical levels of the economic system (a firm, an economic sector and economy as a whole). Such a control enables us to calculate the degrees of the monopoly impact both on the entire economy, and on its various sectors. Quantitative values of these degrees can be used as evidence in antitrust litigations and for choice of corresponding instruments to “punish” the monopoly for such abuses. The paper reveals the mechanism of use of the proposed formulas for determination of the monopolistic power and degree of its impact on economy and various economic sectors for the cases of oligopoly and natural monopoly. Also, this paper demonstrates the mechanism of the influence of antimonopoly policy on the configuration of business cycle and on economic growth rate (when other policies are neutral). This opens up the possibility to combine the antitrust policy with the anticyclical and fiscal ones, because, under recession, increased monopolistic power in an individual sector may help the whole economy get out of the crisis.

Bordetella spp. block eosinophil recruitment to suppress the generation of early mucosal protection

Bordetella spp. are respiratory pathogens equipped with immune evasion mechanisms. We previously characterized a Bordetella bronchiseptica mutant (RB50ΔbtrS) that fails to suppress host responses, leading to rapid clearance and long-lasting immunity against reinfection. This work revealed eosinophils as an exclusive requirement for RB50ΔbtrS clearance. We also show that RB50ΔbtrS promotes eosinophil-mediated B/T cell recruitment and inducible bronchus-associated lymphoid tissue (iBALT) formation, with eosinophils being present throughout iBALT for Th17 and immunoglobulin A (IgA) responses. Finally, we provide evidence that XCL1 is critical for iBALT formation but not maintenance, proposing a novel role for eosinophils as facilitators of adaptive immunity against B. bronchiseptica. RB50ΔbtrS being incapable of suppressing eosinophil effector functions illuminates active, bacterial targeting of eosinophils to achieve successful persistence and reinfection. Overall, our discoveries contribute to understanding cellular mechanisms for use in future vaccines and therapies against Bordetella spp. and extension to other mucosal pathogens.

Signatures of cosmic ray heating in 21-cm observables

ABSTRACT Cosmic rays generated by supernovae carry away a significant portion of the lifetime energy emission of their parent star, making them a plausible mechanism for heating the early universe intergalactic medium (IGM). Following a review of the existing literature on cosmic ray heating, we develop a flexible model of this heating mechanism for use in 3D seminumerical 21-cm signal simulations and conduct the first investigations of the signatures it imprints on the 21-cm power spectrum and tomographic maps. We find that cosmic ray heating of the IGM is short-ranged, leading to heating clustered around star-forming sites, and a sharp contrast between heated regions of 21-cm emission and unheated regions of absorption. This contrast results in greater small-scale power for cosmic ray heated scenarios compared to what is found for X-ray heating, thus suggesting a way to test the nature of IGM heating with future 21-cm observations. Finally, we find an unexpectedly rich thermal history in models where cosmic rays can only escape efficiently from low-mass haloes, such as in scenarios where these energetic particles originate from population III star supernovae remnants. The interplay of heating and the Lyman–Werner feedback in these models can produce a local peak in the IGM kinetic temperature and, for a limited parameter range, a flattened absorption trough in the global 21-cm signal.

Impact of Different Irrigation Methods on the Main Chemical Characteristics of Typical Mediterranean Fluvisols in Portugal

The sustainable management of Mediterranean agricultural soils, characterized by salinization and low organic matter content, requires a thorough understanding of their temporal and spatial evolution. The focal point of this investigation encompasses an area of 6769 ha within the Portuguese Mediterranean basin, from which as many as 686 topsoil specimens were acquired during the periods 2001/2002 and 2011/2012 for the purpose of scrutinizing soil organic matter (SOM) content, pH measured in water, and electrical conductivity (EC). The methodology employed both classical and geostatistical techniques, and the terrestrial samples were classified in accordance with the irrigation mechanisms in use (namely, drip and sprinkler systems), subsequently juxtaposed with their counterparts in rainfed systems. Predictive maps were generated using the Ordinary Kriging algorithm for spatial interpolation. The findings demonstrate that irrigated Fluvisols displayed lower SOM content compared to rainfed soils, with sprinkler-irrigated soils experiencing a 16.1% decrease and drip-irrigated soils showing a more pronounced 26.6% decrease. Moreover, drip-irrigated soils contained 12.5% less SOM compared to sprinkler-irrigated soils. The pH levels stabilized at around 6.6 in both rainfed and irrigated soils, with no significant differences observed between the irrigation methods. Furthermore, irrigated Fluvisols exhibited higher EC values compared to rainfed soils, with both sprinkler and drip-irrigated soils showing values that were 35.2% higher. These results underscore the impact of irrigation practices on soil properties, including elevated EC values due to increased soil salt accumulation. The study highlights the necessity of considering specific irrigation systems and associated practices to ensure sustainable soil health and productivity. Adopting management approaches that account for these factors is crucial for preserving optimal soil conditions in Mediterranean agricultural systems.

Correlation between properties of various carbon defects and electrochemical charge carrier storage mechanisms for use in Li- and Na-based rechargeable batteries

With the growing interest in promising energy sources for high-energy-demand devices, the development of materials for use in rechargeable batteries based on electrochemical charge carrier storage, such as Li and Na, has attracted intensive attention. Among them, carbon materials (e.g., graphene, graphite, and disordered carbons) have been extensively used as electrode materials for battery systems because of their critical advantages, namely, relatively good charge carrier storage capability, low cost, abundant resources, and simple manufacturing process. In particular, various types of defects are indispensably formed in the carbon structure during the manufacturing processes, which significantly influence their electrochemical charge carrier storage mechanisms and thus determine the electrochemical properties of the carbon-based rechargeable battery systems. This comprehensive review summarizes the correlation between the fundamental properties of carbon defects and electrochemical Li and Na storage mechanisms for Li- and Na-based rechargeable batteries, representative cations using battery systems, with a special focus on atomic-scale science and technology, which have a notable role in investigating and understanding the interaction between the defect phases and charge carriers in carbon structures. First, various carbon defects are categorized for the purpose of this work; then, computational/experimental methods for analyzing them and their critical properties (especially electronic structure) are introduced because identifying defect types is critical. Next, the roles and influences of carbon defects on electrochemical charge carrier storage mechanisms (especially adsorption and intercalation [insertion], diffusion, and formation of metal clusters) are described for Li- and Na-based rechargeable batteries. This study focuses on the physicochemical and electrochemical properties, which are key characteristics of carbon defects that determine their optimal utilization in rechargeable battery systems.

Synthesis of Nitrogen-Conjugated 2,4,6-Tris(pyrazinyl)-1,3,5-triazine Molecules and Electrochemical Lithium Storage Mechanism

Organic anode materials for lithium-ion battery have attracted widespread attention due to their diversity in organic linker functional species and the ability to tune their molecular levels. However, the rational design of advanced organic anodes with high reversible capacity and intentional organic molecular design requires a deep understanding of their mechanism for use in small-molecule organic rechargeable batteries. Herein, an optimized small-molecule-based organic anode material containing highly efficient active sites was developed for use in an organic lithium-ion battery. A small-molecule organic compound, 2,4,6-tris(pyrazinyl)-1,3,5-triazine (TPT), was formed by the trimerization of the 2-cyanopyrazine monomer. This molecule was rationally designed and evaluated as a lithium-ion battery organic anode material. TPT has a relatively small structure, but a superior reversible specific capacity was still achieved. Excitingly, TPT2 (liquid-phase synthetic) released a reversible capacity of 622 mAh g–1 at 100 mA g–1. Moreover, impressive long-term cycling performance was obtained, with a storage capacity of 541 mAh g–1 at 800 mA g–1 after 500 cycles. This demonstrated the durable cyclic stability of TPT2, which also achieved excellent rate performance at different current densities from 100 mA g–1 to 1.6 A g–1. The lithium storage mechanism of TPT was studied by theoretical calculations and ex situ Fourier transform infrared spectroscopy (FTIR) combined with X-ray photoelectron spectroscopy (XPS) characterization, which demonstrated that multiple active sites consisting of −C–N and −C═N groups were responsible for its superior lithium storage performance. This study provides a new understanding of the energy storage mechanism in small-molecule organic-based anode electrodes.

Identification of immunosuppressive signature subtypes and prognostic risk signatures in triple-negative breast cancer.

Immune checkpoint blockade (ICB) therapy has transformed the treatment of triple-negative breast cancer (TNBC) in recent years. However, some TNBC patients with high programmed death-ligand 1 (PD-L1) expression levels develop immune checkpoint resistance. Hence, there is an urgent need to characterize the immunosuppressive tumor microenvironment and identify biomarkers to construct prognostic models of patient survival outcomes in order to understand biological mechanisms operating within the tumor microenvironment. RNA sequence (RNA-seq) data from 303 TNBC samples were analyzed using an unsupervised cluster analysis approach to reveal distinctive cellular gene expression patterns within the TNBC tumor microenvironment (TME). A panel of T cell exhaustion signatures, immunosuppressive cell subtypes and clinical features were correlated with the immunotherapeutic response, as assessed according to gene expression patterns. The test dataset was then used to confirm the occurrence of immune depletion status and prognostic features and to formulate clinical treatment recommendations. Concurrently, a reliable risk prediction model and clinical treatment strategy were proposed based on TME immunosuppressive signature differences between TNBC patients with good versus poor survival status and other clinical prognostic factors. Significantly enriched TNBC microenvironment T cell depletion signatures were detected in the analyzed RNA-seq data. A high proportion of certain immunosuppressive cell subtypes, 9 inhibitory checkpoints and enhanced anti-inflammatory cytokine expression profiles were noted in 21.4% of TNBC patients that led to the designation of this group of immunosuppressed patients as the immune depletion class (IDC). Although IDC group TNBC samples contained tumor-infiltrating lymphocytes present at high densities, IDC patient prognosis was poor. Notably, PD-L1 expression was relatively elevated in IDC patients that indicated their cancers were resistant to ICB treatment. Based on these findings, a set of gene expression signatures predicting IDC group PD-L1 resistance was identified then used to develop risk models for use in predicting clinical therapeutic outcomes. A novel TNBC immunosuppressive tumor microenvironment subtype associated with strong PD-L1 expression and possible resistance to ICB treatment was identified. This comprehensive gene expression pattern may provide fresh insights into drug resistance mechanisms for use in optimizing immunotherapeutic approaches for TNBC patients.

Critical Analysis of Payments for Ecosystem Services: Case Studies in Kenya, Uganda and Tanzania

The concept of payments for ecosystem services (PES) has been identified as a promising mechanism for use in Kenya, Uganda, and Tanzania, with several potential advantages and benefits, including the ability to raise new funding for landscape management, increase the efficiency of conservation approaches, secure ecosystem services (ES), and benefit poor rural communities. Starting from understanding the complex relationship between human dependence on natural resources and the environment, this paper aims to determine the degree to which the various criteria affect the success of PES that involve forests. Primary data were collected using a mixed questionnaire that was sent to institutions that had implemented PES schemes in the region and 25 case studies of PES implemented in the region from various publications were used for the secondary data. The data were mainly analyzed using comparative analysis. The results indicated that PES success is higher when bundled ES are considered, financing is medium- to long-term, implementation is at the regional level, combined transaction types (cash and in-kind) are used, and both private buyers and public sellers are involved. This paper provides a good benchmark for decision makers on PES performance and the model presented may serve as one of the tools for improving livelihoods and ensuring the achievement of sustainable development goals.

THE TERM COMBINATION AND THE METAPHOR IN THE OFFICIAL BUSINESS DOCUMENT: COGNITIVE ASPECT

THE TERM COMBINATION AND THE METAPHOR IN THE OFFICIAL BUSINESS DOCUMENT: COGNITIVE ASPECT

How digital health technologies promote healthy life in the Post-COVID-19 Era: evidences from national survey on Chinese adolescents and youngsters.

The rapid development of intelligent technologies coupled with the stay-at-home trends in the Post-COVID-19 Era has significantly changed youth's health behavior as well as reshaped their lifestyles. Digital health technologies (DHTs) have been more and more used for health management among youngsters. However, little was known about the use of DHTs among youths and its consequences on their health, especially in developing countries like China. Inspired by behavior intervention technology (BIT) model, this study examined the underlying mechanisms of use and social interactions of DHTs on Chinese adolescents' and youngsters' healthy lifestyles and mental health, using a representatively national survey among high school and freshman students in China (N = 2,297). It found that use of DHTs had a significantly positive effect on Chinese youths' healthy lifestyles and mental health, with behavioral regulation as a mediator. However, social interactions of DHTs were negatively associated with their mental health. The findings contribute to a better guidance on health promotion, as well as the enhanced design of DHTs' products.