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Purpose/Significance: Mobile health applications provide a convenient way for users to obtain health information and services. Studying the factors that influence users’ acceptance and use of mobile health applications (apps or Apps) will help to improve users’ actual usage behavior. Method/Process: Based on the literature review method and using the Web of Science core database as the data source, this paper summarizes the relevant research results regarding the influencing factors of the acceptance and use behavior of mobile health application users and makes a systematic review of the influencing factors from the perspectives of the individual, society, and application (app or App) design. Result/Conclusion: In terms of the individual dimension, the users’ behavior is influenced by demographic characteristics and motivations. Social attributes, source credibility, and legal issues all affect user behavior in the social dimension. In the application design dimension, functionality, perceived ease of use and usefulness, security, and cost are the main factors. At the end of the paper, suggestions are given to improve the users’ acceptability of mobile health applications and improve their use behavior.

This study delves into the multifaceted realm of student achievement, investigating the factors that influence academic performance through a comprehensive modeling analysis. Employing the renowned SPSS Statistical Analysis Software, we explore the intricate interplay between various determinants and student success. In a unique fusion of financial and agricultural perspectives, we dissect the potential impact of these factors on academic outcomes. The data for this study was gathered from a private upper elementary school in Florida where all grades are taught by one teacher for both languages of instruction, English and Spanish. The overall response rate for survey was 26.5%. The data was analyzed using SPSS and determined the following findings: Factor 1 (Teachers' behaviors) is the most influential factor. Factor 2 (Parental support) is also a strong factor affecting student achievement. Factor 3 (Learning environment) and Factor 4 (Student motivation) were not influential factors affecting achievement. Factors 1, 2, 3, and 4 were able to adjust the lowest level of student performance with positive impacts in at least 17% of the students' ability to perform at their best level of ability. The teacher behaviors were able to modify the highest level of student performance with positive impacts in at least 58% of the students' ability to perform at their best level of ability. The parental support was able to modify the lowest level of student achievement with negative impacts in at least 18% of the students' ability to perform at their best level of ability. The learning environment, student motivation, and teachers' behaviors can be used as tools by educators in order to improve student achievement.

The primary, most obvious parameter indicating water quality is the color of the water. Not only can it be aesthetically disturbing, but it can also be an indicator of contamination. Clean, high-quality water is a valuable, essential asset. Of the available technologies for removing dyes, adsorption is the most used method due to its ease of use, cost-effectiveness, and high efficiency. The adsorption process is influenced by several parameters, which are the basis of all laboratories researching the optimum conditions. The main objective of this review is to provide up-to-date information on the most studied influencing factors. The effects of initial dye concentration, pH, adsorbent dosage, particle size and temperature are illustrated through examples from the last five years (2017–2021) of research. Moreover, general trends are drawn based on these findings. The removal time ranged from 5 min to 36 h (E = 100% was achieved within 5–60 min). In addition, nearly 80% efficiency can be achieved with just 0.05 g of adsorbent. It is important to reduce adsorbent particle size (with Φ decrease E = 8–99%). Among the dyes analyzed in this paper, Methylene Blue, Congo Red, Malachite Green, Crystal Violet were the most frequently studied. Our conclusions are based on previously published literature.

Pyroptosis is a form of programmed cell death mediated by gasdermin and is a product of continuous cell expansion until the cytomembrane ruptures, resulting in the release of cellular contents that can activate strong inflammatory and immune responses. Pyroptosis, an innate immune response, can be triggered by the activation of inflammasomes by various influencing factors. Activation of these inflammasomes can induce the maturation of caspase-1 or caspase-4/5/11, both of which cleave gasdermin D to release its N-terminal domain, which can bind membrane lipids and perforate the cell membrane. Here, we review the latest advancements in research on the mechanisms of pyroptosis, newly discovered influencing factors, antitumoral properties, and applications in various diseases. Moreover, this review also provides updates on potential targeted therapies for inflammation and cancers, methods for clinical prevention, and finally challenges and future directions in the field.

Worldwide people tend to spend approximately 90% of their time in different indoor environments. Along with the penetration of outside air pollutants, contaminants are produced in indoor environments due to different activities such as heating, cooling, cooking, and emissions from building products and the materials used. As people spend most of their lives in indoor environments, this has a significant influence on human health and productivity. Despite the two decades of indoor air quality (IAQ) research from different perspectives, there is still a lack of comprehensive evaluation of peer-reviewed IAQ studies that specifically covers the relationship between the internal characteristics of different types of building environments with IAQ to help understand the progress and limitations of IAQ research worldwide. Therefore, this review of scientific studies presents a broad spectrum of pollutants identified in both residential and commercial indoor environments, highlighting the trends and gaps in IAQ research. Moreover, analysis of literature data enabled us to assess the different IAQs in buildings located in different countries/regions, thus reflecting the current global scientific understanding of IAQ. This review has the potential to benefit building professionals by establishing indoor air regulations that account for all indoor contaminant sources to create healthy and sustainable building environments.

Background Several recent observational studies have reported that gut microbiota composition is associated with preeclampsia. However, the causal effect of gut microbiota on preeclampsia-eclampsia is unknown. Methods A two-sample Mendelian randomization study was performed using the summary statistics of gut microbiota from the largest available genome-wide association study meta-analysis ( n =13,266) conducted by the MiBioGen consortium. The summary statistics of preeclampsia-eclampsia were obtained from the FinnGen consortium R7 release data (5731 cases and 160,670 controls). Inverse variance weighted, maximum likelihood, MR-Egger, weighted median, weighted model, MR-PRESSO, and cML-MA were used to examine the causal association between gut microbiota and preeclampsia-eclampsia. Reverse Mendelian randomization analysis was performed on the bacteria that were found to be causally associated with preeclampsia-eclampsia in forward Mendelian randomization analysis. Cochran’s Q statistics were used to quantify the heterogeneity of instrumental variables. Results Inverse variance weighted estimates suggested that Bifidobacterium had a protective effect on preeclampsia-eclampsia (odds ratio = 0.76, 95% confidence interval: 0.64–0.89, P = 8.03 × 10 −4 ). In addition, Collinsella (odds ratio = 0.77, 95% confidence interval: 0.60–0.98, P = 0.03), Enterorhabdus (odds ratio = 0.76, 95% confidence interval: 0.62–0.93, P = 8.76 × 10 −3 ), Eubacterium (ventriosum group) (odds ratio = 0.76, 95% confidence interval: 0.63–0.91, P = 2.43 × 10 −3 ), Lachnospiraceae (NK4A136 group) (odds ratio = 0.77, 95% confidence interval: 0.65–0.92, P = 3.77 × 10 −3 ), and Tyzzerella 3 (odds ratio = 0.85, 95% confidence interval: 0.74–0.97, P = 0.01) presented a suggestive association with preeclampsia-eclampsia. According to the results of reverse MR analysis, no significant causal effect of preeclampsia-eclampsia was found on gut microbiota. No significant heterogeneity of instrumental variables or horizontal pleiotropy was found. Conclusions This two-sample Mendelian randomization study found that Bifidobacterium was causally associated with preeclampsia-eclampsia. Further randomized controlled trials are needed to clarify the protective effect of probiotics on preeclampsia-eclampsia and their specific protective mechanisms.

Purpose The purpose of this paper is to show how customers engage in negatively valenced influencing behavior (NVIB) and what triggers customers to use different forms of NVIB in an online context. Design/methodology/approach A qualitative study is conducted using an unobtrusive netnography. Data collected comprise of 954 negatively valenced online reviews posted on TripAdvisor to hotels, restaurants, and “things to do” in 12 different destinations worldwide. Findings Drawing on the recent literature relating to customer engagement behavior (CEB), this paper identifies and conceptualizes the relationship between five cognitive (service failure, overpricing, deception) and emotional (disappointment and insecurity) triggers of six forms of direct (dissuading, warning, and endorsing competitors) and indirect (discrediting, expressing regret, and deriding) NVIB. Research limitations/implications The unobtrusive netnography has inherent limitations that lend itself to inductive rich insights rather than generalization. The study only focuses on NVIB within a specific online context, namely, TripAdvisor. Practical implications This paper provides managers with knowledge of the specific triggers of NVIB. Additionally, the paper conceptualizes the various forms of NVIB, how customers use them, and what triggers them to use each form. Moreover, the paper offers relevant data-inferred recommendations to service managers on how to manage each form of NVIB. Originality/value This research is the first to identify the forms and triggers of NVIB, classify direct and indirect forms, and conceptualize the relationships between forms and triggers.

Compared with the traditional activated sludge process, a membrane bioreactor (MBR) has many advantages, such as good effluent quality, small floor space, low residual sludge yield and easy automatic control. It has a promising prospect in wastewater treatment and reuse. However, membrane fouling is the biggest obstacle to the wide application of MBR. This paper aims at summarizing the new research progress of membrane fouling mechanism, control, prediction and detection in the MBR systems. Classification, mechanism, influencing factors and control of membrane fouling, membrane life prediction and online monitoring of membrane fouling are discussed. The research trends of relevant research areas in MBR membrane fouling are prospected.

Nano and microplastics (NPs/MPs) have received widespread attention in recent years. Because of their large specific surface area and hydrophobicity, NPs/MPs can adsorb various organic contaminants. This article gives a brief review of the sorption behavior of organic contaminants to NPs/MPs, summarizes the possible sorption mechanisms, and analyzes the influencing factors in the environment on the sorption behavior and mechanisms of NPs/MPs. The main mechanisms of sorption of organic contaminants to NPs/MPs are partitioning, surface sorption (hydrogen bonding, π–π interaction, electrostatic interaction, and van der Waals force), and pore filling. The sorption behavior of organic contaminants to NPs/MPs is not only affected by the properties of the NPs/MPs and the organic contaminants, but also by the solution chemistry, such as the pH, ionic strength, and dissolved organic matter.

In the era of the Fourth Industrial Revolution, artificial intelligence (AI) is a core technology, and AI-based applications are expanding in various fields. This research explored the influencing factors on end-user’s intentions and acceptance of AI-based technology in construction companies using the technology acceptance model (TAM) and technology–organisation–environment (TOE) framework. The analysis of end-users’ intentions for accepting AI-based technology was verified by applying the structure equation model. According to the research results, the technological factors along with external variables and an individual’s personality had a positive influence (+) on the perceived usefulness and the perceived ease of use of end-users of AI-based technology. Conversely, environmental factors such as suggestions from others appeared to be disruptive to users’ technology acceptance. In order to effectively utilise AI-based technology, organisational factors such as the support, culture, and participation of the company as a whole were indicated as important factors for AI-based technology implementation.