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Agriculture is vital to Sumbawa Regency's economy, with key activities such as rice cultivation, corn production, onion farming, and cattle rearing. This study applies artificial neural networks (ANN) to predict land cover changes, focusing on agricultural land expansion. Using land cover datasets from ESRI, digital elevation model, and topographical maps, we analyzed land cover changes from 2017 to 2023 and generated future projections for 2050 with the MOLUSCE plugin in qGIS. The predictive model achieved an 85% accuracy rate when comparing 2023 actual data with predictions. Results indicate a significant increase in agricultural land cover by 2050. The key finding is that over a long-term period, the simulation of land use and land cover (LULC) change in Sumbawa reveals an increase of crop areas in the Lunyuk and Labangka Districts. This study highlights the effectiveness of ANN in land cover prediction and emphasizes the need for sustainable practices to balance agricultural expansion. AI-driven insights can aid policymakers in opti-mizing resource allocation and ensuring long-term environmental and economic stability in Sumbawa Regency. Future research should refine models and incorporate additional factors for improved accuracy.

Change is something that is bound to happen. Employees in service industries such as hospitality business must have innovative work behavior to help companies grow and thrive in a constantly changing environment. One way to get employee work integrity in the face of change is to set work goals. The involvement of employees in setting work goals is inseparable from the role of superiors to provide feedback. This study aims to describe the relationship between goal-setting participation and employees' innovative work behavior and their relationship with feedback as a moderating variable. The research methodology uses a quantitative descriptive approach, whereas 101 of four-star hotel employees in Belitung Regency and employed convenience sampling. The results revealed that goal-setting variable has a positive and meaningful relationship with the feedback variable. Moreover, the feedback variable has a role both as an independent and a moderator variable in the relationship between goal-setting variable and innovative work behavior. The implications of the research results provide input to hotel business actors the importance of encouraging goal-setting participation and employing the goals as the positive feedback for the employees.

Background An epidemiological model (susceptible, un-quarantined infected, quarantined infected, confirmed infected (SUQC)) was previously developed and applied to incorporate quarantine measures and calculate COVID-19 contagion dynamics and pandemic control in some Chinese regions. Here, we generalized this model to incorporate the disease recovery rate and applied our model to records of the total number of confirmed cases of people infected with the SARS-CoV-2 virus in some Chilean communes. Methods In each commune, two consecutive stages were considered: a stage without quarantine and an immediately subsequent quarantine stage imposed by the Ministry of Health. To adjust the model, typical epidemiological parameters were determined, such as the confirmation rate and the quarantine rate. The latter allowed us to calculate the reproduction number. Results The mathematical model adequately reproduced the data, indicating a higher quarantine rate when quarantine was imposed by the health authority, with a corresponding decrease in the reproduction number of the virus down to values that prevent or decrease its exponential spread. In general, during this second stage, the communes with the lowest social priority indices had the highest quarantine rates, and therefore, the lowest effective viral reproduction numbers. This study provides useful evidence to address the health inequity of pandemics. The mathematical model applied here can be used in other regions or easily modified for other cases of infectious disease control by quarantine.

Biological systems exhibit strong dynamic variations; for example, a system may have a tendency towards either a steady state, periodic behaviour or chaotic oscillations. These findings, explained by dynamic systems theory, have allowed researchers to formally relate a wide variety of systems, such as the theory of rumour propagation, glucose metabolism or the activity of a neuronal circuit. Interestingly, among all of the dynamic characteristics mentioned, qualitative aspects frequently observed in highly complex systems can be obtained through the recursive application of a very simple parabolic function known as the logistic equation. Currently, the importance of these dynamic phenomena for biomedicine is recognized, but simple models such as the logistic equation have not been sufficiently exploited in the training of biologists and health professionals. We briefly review some properties of the dynamics governed by the logistic equation, with a direct application to the theory of cancer based on the dynamics of aneuploidy. We believe that this already known mathematical application is an opportunity for integrated teaching of mathematics and biology. For this purpose we finally provide an appendix with some activities, all of them related to this article, which can be practiced in a simple spreadsheet that we have shared. [ABSTRACT FROM AUTHOR]

Background and Objectives: This study examined young adults' tobacco use transitions based on their past 30-day use states, and identified factors associated with their transitions., Methods: Participants (N = 12377) were young adults aged 18-29 years at Wave 1 of the Population Assessment of Tobacco and Health (PATH) study. Self-reported tobacco use states were categorized by the number of past-month use days (0, 1-4, 5-8, 9-12, 13-30 days) for cigarettes, electronic cigarettes [e-cigarettes], traditional cigars, filtered cigars, cigarillos, smokeless tobacco (SLT), and hookah. Multistate Markov models examined transitions between use states across Waves 1-5 of unweighted PATH data and multinomial logistic regressions examined predictors of transitions., Results: Most young adults remained nonusers across adjacent waves for all products (88%-99%). Collapsed across waves, transitioning from use at any level to nonuse (average 46%-67%) was more common than transitioning from nonuse to use at any level (average 4%-10%). Several factors that predicted riskier patterns of use (i.e., transitioning to use and/or remaining a user across adjacent waves) were similar across most products: male, Black, Hispanic, lower education levels, and lower harm perceptions. In contrast, other factors predicted riskier patterns for only select products (e.g., e-cigarette and SLT use among Whites)., Discussion and Conclusions: Few sampled young adults escalated their tobacco use over time, and escalations for many products were predicted by similar factors., Scientific Significance: Prevention and regulatory efforts targeted towards adolescents should continue, but also be expanded into young adulthood. These same efforts should consider both shared and unique factors that influence use transitions., (© 2024 The American Academy of Addiction Psychiatry (AAAP).)

(1) Background: Vaccination reluctance is a major worldwide public health concern as it poses threats of disease outbreaks and strains on healthcare systems. While some studies have examined vaccine uptake within specific countries, few provide an overview of the barriers and trends among migrant groups. To fill this knowledge gap, this narrative review analyzes immunization patterns and vaccine hesitancy among immigrant populations. (2) Methods: Four researchers independently evaluated the quality and bias risk of the 18 identified articles using validated critical appraisal tools. (3) Results: Most studies focused on vaccine hesitancy among migrants in the United States and Canada, with a higher COVID-19 vaccine reluctance than native-born residents. Contributing factors to this hesitancy include demographics, cultural views, obstacles to healthcare access, financial hardship, and distrust in health policies. Additionally, immigrants in North America and Europe face unfair vaccine challenges due to misinformation, safety concerns, personal perspectives, language barriers, immigration status, and restricted healthcare access. (4) Conclusions: Tailored vaccine education programs and outreach campaigns sensitive to immigrants' diversity should be developed to address this issue. It is also important to investigate community-specific obstacles and assess the long-term sustainability of current efforts to promote vaccination among marginalized migrant groups. Further research into global immunization disparities among immigrant populations is crucial.

Aims: This study aims to identify adolescent patterns of polytobacco use and measure transitions between patterns over time., Design: Longitudinal analysis using data derived from waves 1-4 (2013-18) of the Population Assessment of Tobacco and Health (PATH) study. Transitions in tobacco use patterns were examined via latent transition analysis, and then, socio-demographic characteristics were used to predict transitions via logistic regression., Setting: United States., Participants: Participants included 975 adolescents who used at least one tobacco product at any wave (W1 mean age = 13.29, standard deviation = 0.86; W4 54.2% male; 54.5% white, 25.9% Hispanic)., Measurements: Measurements included past 30-day use of cigarettes, electronic cigarettes (e-cigs), traditional cigars, cigarillos, filtered cigars, snus, smokeless tobacco (SLT) or hookah., Findings: Six latent classes were identified. Cigarette users (43.5-58.8%) and SLT users (50.8-79.6%) tended to persist in their use over time. E-cig users began to probably transition to non-users (80.0%), but became more likely to persist in this use over time (31.1%). Non-users at a given wave were most likely to transition to e-cig users (8.5-43.7%) or cigarette users (6.7-28.6%). Cigarillo/poly-users and hookah/poly-users displayed more variable transition patterns. Adolescents were more likely to transition to non-use (versus become/remain e-cig users) if they were older (cigarette users, SLT users), younger (e-cig users), other race (SLT users), male (SLT users) or had less-educated parents (SLT users) compared with their counterparts. Hispanic (versus white) cigarette users were more likely to transition to non-users than to persist in this use., Conclusions: Among adolescents in the United States, patterns of tobacco use characterized by the use, mainly, of single, specific products appear to be stable, particularly by late adolescence. In contrast, patterns characterized by polytobacco use appear to be more variable and may represent experimentation without specialization., (© 2022 Society for the Study of Addiction.)

Community-engaged research (CEnR) is a powerful tool to create sustainable and effective change in health outcomes. CEnR engages community members as equal partners, amplifying their voices and priorities by including them throughout the research process. Such engagement increases the relevance and meaning of research, improves the translation of research findings into sustainable health policy and practice, and ultimately enhances mutual trust among academic, clinical, and community partners for ongoing research partnership. There are a number of key principles that must be considered in the planning, design, and implementation of CEnR. These principles are focused on inclusive representation and participation, community empowerment, building community capacity, and protecting community self-determination. Although vascular surgeons may not be equipped to address these issues from the ground up by themselves, they should work with a team who can help them incorporate these elements into their CEnR project designs and proposals. This may be best accomplished by collaborating with researchers and community-based organizations who already have this expertise and have established social capital within the community. This article describes the theory and principles of CEnR, its relevance to vascular surgeons, researchers, and patients, and how using CEnR principles in vascular surgery practice, research, and outreach can benefit our patient population, with a specific focus on reducing disparities related to amputation., Competing Interests: Declaration of Interests The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Background: Despite decreases in adolescents' cigarette use over the past decade, overall rates of adolescent tobacco use have increased. Research examining adolescents' changes across a range of tobacco products reflective of the current market, as well as multilevel predictors of use trajectories is needed., Methods: Data derive from Waves 1-4 (W1-4; 2013-2018) of the Population Assessment of Tobacco and Health (PATH) study. Participants included 975 adolescents who used ≥1 tobacco product (cigarettes, electronic cigarettes [ECIGs], traditional cigars, cigarillos, filtered cigars, snus, smokeless tobacco [SLT], hookah) at any wave (W1 M age  = 13.29 [0.86], 54.2% male; 54.5% White, 25.9% Hispanic)., Results: Utilizing latent growth curve modeling (separate models per product), adolescents displayed increases in their past 30-day use of all tobacco products from W1-4. Greater W1 use was predicted by identifying as non-Hispanic (cigarettes); lower parent education (SLT); greater externalizing problems (cigarillos); greater motives (all products except cigarillos); greater youth-reported household smoking rules (cigarillos); and greater isolation (ECIGs). More use across time (i.e., higher slope) was predicted by older age (cigarettes); identifying as male (ECIGs, SLT), Black (vs. White; cigarillos), White (vs. Black, Hispanic; ECIGs, SLT); fewer externalizing problems (SLT); fewer motives (ECIGs); fewer youth-reported rules (cigarillos, SLT); and greater geographic isolation (cigarettes, SLT)., Discussion: Although some individual-level factors (i.e., motives, externalizing problems) predicted greater W1 use (i.e., intercept) only, interpersonal- (parent rules) and community-level (geographic isolation) factors were associated with changes in use over time (i.e., slope). Intervention efforts may address such factors to reduce adolescents' escalations in use., (Copyright © 2022. Published by Elsevier Inc.)

Prior work suggests that prospective measurement of cigarette use may be more reliable and valid than retrospective self-reports. Despite several studies comparing retrospective and prospective methods, there are a myriad of prospective methods that have not been directly compared, including spent cigarette filters that are returned to the laboratory by participants and diary logs of cigarette use on an electronic device via ecological momentary assessment. The current secondary data analysis compared the reliability of retrospective global self-report, returned cigarette filters, and electronic diary logs among a sample of cigarette smokers that also use smokeless tobacco (SLT; N = 51) over two consecutive weeks. CPD values also were compared to salivary cotinine levels to determine whether any method was associated more strongly with nicotine/tobacco exposure. Results indicated that CPD values via global self-report were significantly larger than returned filter and diary log daily averages across both weeks (t(50) = 8.28 to 9.35; p < .001). Both prospective measures showed less digit bias and more variation in smoking behavior across days than global self-reports. Only returned CPD values were correlated significantly with salivary cotinine levels (r(593) = 0.09, p = .024). Importantly, most reliability outcomes for returned filters and logged CPD did not differ significantly, suggesting that they may be comparable prospective methods for measuring cigarette use. Because returned filters and diary logs did not differ from one another, researchers' selection of a prospective measurement method should rely on considerations of participant compliance, protocol burden, and specific research questions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Introduction: Despite increases in adolescents' polytobacco use, little work has utilized recent national data to examine transitions in polytobacco use over time or predictors of such transitions., Methods: Data derived from the Population Assessment of Tobacco and Health (PATH) study. Participants used at least one tobacco product (cigarettes, electronic cigarettes [ECIGs], traditional cigars, cigarillos, filtered cigars, snus, smokeless tobacco [SLT], hookah) at Wave 3 (W3; 2015-2016) or 4 (W4; 2016-2018) and had Wave 1 (W1) data (N = 1072; M age = 13.71, SD =1.71, 46.4% female; 56.6% White, 23.2% Hispanic). Latent transition analysis (LTA) examined probabilities of transitioning between classes across waves and sociodemographic correlates of transitions., Results: Five latent classes were identified: Low Users (n = 372, 34.7% W3; n = 249, 23.3% W4), ECIG Users (n = 256, 23.8% W3; n = 286, 26.7% W4), Cigarette Users (n = 215, 20.1% W3; n = 293, 27.3% W4), SLT Users (n = 91, 8.5% W3; n = 92, 8.6% W4), and Polytobacco Users (n = 138, 12.9% W3; n = 152, 14.1% W4). Cigarette Users and SLT Users displayed the highest probabilities for class stability. Low Users were most likely to transition to ECIG Users or Cigarette Users, whereas Polytobacco Users were most likely to transition to Low Users. ECIG Users were likely to transition to Low Users or Cigarette Users. Older and White adolescents were more likely to display riskier transitions., Conclusions: Although Cigarette Users and SLT Users remained largely stable in membership, findings demonstrate greater movement across polytobacco use classes relative to previous research and suggest that ECIGs may be the most common entry point to tobacco use., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Purpose: The purpose of the current study was to evaluate associations between geographic rurality and tobacco use patterns among adolescents., Methods: High school students (N = 566) from north-central Appalachia reported on their lifetime and/or current use of cigarettes, electronic cigarettes (ECIGs), cigars, and smokeless tobacco. Geographic rurality was measured via the Isolation scale, whereby residential ZIP Codes determined the degree to which respondents have access to health-related resources. Latent class analysis (LCA) was used to identify discrete classes of adolescent tobacco users based on their use of tobacco products. Then, associations between participants' geographic rurality and class membership were evaluated using a series of multinomial logistic regressions., Findings: LCA classified participants as Nonusers, Current ECIG Users, Cigarette/ECIG Experimenters, and Polytobacco Users. Individuals with higher Isolation scores were more likely to be Polytobacco Users and Cigarette/ECIG Experimenters than Nonusers, and were more likely to be Polytobacco Users than Current ECIG Users., Conclusions: The continuous Isolation scale used in the present study predicted polytobacco use patterns among adolescents in a manner that is consistent with, while simultaneously expanding upon, prior work. Tobacco control practices and policies should be viewed through a lens that considers the unique needs of geographically isolated areas., (© 2021 National Rural Health Association.)