Geographical Areas Research Articles

Understanding the impact of covariates on the classification of implementation units for soil-transmitted helminths control: a case study from Kenya

BackgroundSoil-transmitted helminthiasis (STH) are a parasitic infection that predominantly affects impoverished regions. Model-based geostatistics (MBG) has been established as a set of modern statistical methods that enable mapping of disease risk in a geographical area of interest. We investigate how the use of remotely sensed covariates can help to improve the predictive inferences on STH prevalence using MBG methods. In particular, we focus on how the covariates impact on the classification of areas into distinct class of STH prevalence.MethodsThis study uses secondary data obtained from a sample of 1551 schools in Kenya, gathered through a combination of longitudinal and cross-sectional surveys. We compare the performance of two geostatistical models: one that does not make use of any spatially referenced covariate; and a second model that uses remotely sensed covariates to assist STH prevalence prediction. We also carry out a simulation study in which we compare the performance of the two models in the classifications of areal units with varying sample sizes and prevalence levels.ResultsThe model with covariates generated lower levels of uncertainty and was able to classify 88 more districts into prevalence classes than the model without covariates, which instead left those as “unclassified”. The simulation study showed that the model with covariates also yielded a higher proportion of correct classification of at least 40% for all sub-counties.ConclusionCovariates can substantially reduce the uncertainty of the predictive inference generated from geostatistical models. Using covariates can thus contribute to the design of more effective STH control strategies by reducing sample sizes without compromising the predictive performance of geostatistical models.

Projection of future gastric cancer incidence and health-care service demand by geographic area in Kanagawa, Japan.

Projections of future gastric cancer incidence and the demand for health-care services for gastric cancer patients by geographic area will assist local authorities in determining health-care needs, allocating medical resources, and planning services. This study aims to project the future incidence of gastric cancer, estimate the number of patients per medical institution, and decompose the net changes in cases to assess the impact of population aging by geographic area. Our projections are based on population-based cancer registry data, census data from 2000 to 2020, and the projected population for 2025-2045 in Kanagawa, Japan. We classified Kanagawa into urban, town, outer city, and rural areas based on geographic and population features. The number of medical institutions providing gastric cancer treatment was used to estimate the number of patients per medical institution. We projected a decrease of 25%, 52%, and 5% in gastric cancer cases in towns, outer cities, and rural areas from 2020 to 2045, respectively. However, cases are expected to increase by 9% in urban areas, primarily due to population aging. The annual number of gastric cancer patients per medical institution in urban areas is expected to increase from 54 to 59, while numbers in other areas are predicted to decline from 2020 to 2045. Our long-term projections indicate that the number of older gastric cancer patients will continue to increase in urban areas. While current measures effectively reduce gastric cancer risk, they need to be revised to address the impact of population aging.

Circulating Fetuin-A concentrations in rheumatic diseases: asystematic review and meta-analysis.

Rheumatic diseases (RDs) include a broad group of disabling conditions with different phenotypes, from autoimmune to autoinflammatory, degenerative, metabolic or mixed manifestations. With the continuous efforts to identify therapeutic targets for new biologic drugs to treat overt clinical manifestations, research is also focusing on the discovery of new biomarkers to diagnose and manage early disease stages. In this context, we conducted a systematic review and meta-analysis of Fetuin-A (FtA), a glycoprotein synthesized by the liver that participates in several biological processes and has been proposed as a biomarker for several disorders, including rheumatoid arthritis. A systematic search in PubMed, Scopus and Web of Science, from inception to the 24th of August 2024, led to the identification of 13 manuscripts from 219 records; six additional studies were identified through reference hand-search, for a total of 19 studies. There was a significant decrease in FtA concentrations in RD patients (standardized mean difference, SMD = -.91; 95% CI -1.43 to -.39, p = .001), with no substantial contribution from any individual study nor publication bias. The effect size was significantly associated with erythrocyte sedimentation rate, various lipid fractions, geographical area of study conduction, study design and specific type of RD. In conclusion, our study identified significant reductions in FtA concentrations in RD patients versus healthy controls. These alterations were significantly associated with specific study and patient characteristics. Further research is required to identify the exact pathophysiological mechanisms underlying these alterations and the possible utility of measuring FtA for the diagnosis and management of RDs.

Inside story of impact investing in emerging market: A systematic review to measure the responsible and sustainable investing pattern using the ADO framework

AbstractImpact investing has emerged as a significant global phenomenon as it provides a valuable avenue for investors to shape their cognitive decision‐making ability to have a societal impact. The present study aims to review the existing literature on impact investing systematically. It tries to understand the major motivational factors that impact the investor in impact investing using the ADO framework by linking it with McClelland's Theory of Motivation, geographical areas, journal of publication, and type of research articles for impact investing, significant research gaps in impact investing, theoretical and managerial implications and future research of impact investing. PRISMA framework has been used to finalize the articles from the Scopus database. As a result, 154 articles have been identified from the year 2011 to 2024. The result identifies three motivational factors that drive the investor to invest in impact investing. It includes financial, social, and self‐actualization. The study will guide the policymaker in introducing comprehensive regulatory policies in the area of impact investing. Accordingly, tax incentives and subsidies should be granted for promoting investment in impact investing. The development of proper infrastructure for trading in impact investing needs attention.

Social Location and Decision-Making Among Women Living with HIV in the Southern United States: An Intersectional Approach

HIV care engagement and antiretroviral therapy (ART) adherence interventions aimed at decreasing viral suppression disparities for women living with HIV (WLWH) in the Southern United States (i.e., the South) are few and seldom consider diverse social locations. These refer broadly and dynamically to contextual factors and the position people occupy in a social hierarchy based on intersecting systems of oppression and social determinants of health like gender, race/ethnic, and class inequities; geographic location; and HIV-related stigma. Using an intersectional approach, we conducted in-depth interviews and used a phased approach to directed content analysis to describe women’s perceptions of their social location and how it impacts their decision-making about HIV care engagement and ART adherence. Participants were recruited to participate from a broad geographic area and represented the diverse social locations occupied by WLWH in the South. Findings from 40 in-depth interviews include descriptions of how geographic context impacts HIV care engagement and medication adherence through access to care, quality of care, and the place-based context of day-to-day experiences of living with HIV. Participants spoke of multilevel power relationships based on their gender and racial identities, and how social determinants and intersecting identities occur simultaneously and vary as a function of one another to impact health and HIV care decision-making. The findings offer a nuanced understanding of how WLWH perceive their contextually specific social locations and make critical decisions about their HIV care engagement and medication adherence.

Diamonds in the rough - reconsidering the scientific and heritage value of heat-altered stones in prehistoric archaeology through a systematic literature review

Background Heat-altered stones (HAS) are commonly reported in prehistoric sites across several continents, yet they continue to be generally overlooked and systematic studies on them are scarce. Methods We performed a systematic literature review which consisted of searching journal articles, book chapters and books published in English, in Scopus and Web of Science. We collected information on their geographic distribution, chronology, composition, technological aspects and subsistence contexts from 73 records. Our aims were to assess the challenges and opportunities of analysing HAS, while highlighting that this class of artefacts is still largely an untapped source of information on prehistoric human activities. Results HAS have been documented since the Pleistocene, attesting that culinary and non-culinary activities using heating stones emerged among foraging groups subsisting on hunting, fishing and gathering. The high frequency of HAS during the middle and late Holocene testifies to the continuation of some practices over long time periods, amid the emergence of new food systems, and the introduction of new resources and technologies, such as domesticated plants and animals, and ceramic containers. A considerable lack of studies on HAS from Africa, Oceania, Asia, and South America was noted, all of which are key geographic areas for assessing the role of heating stones in human evolution, geographic dispersal, early cuisine and diet, and cultural transmission across the globe. Conclusions Our results highlight the persistent challenges archaeologists face in establishing fundamental definitions and diagnostic criteria for identifying HAS, while emphasizing the importance of HAS as essential elements for studying ancient foodways and cultural heritage. We call on archaeologists and cultural heritage managers to reconsider the heritage value of HAS and include them in specialised research agendas before significant knowledge of our past is lost.

The Catalogue of Gamma-Ray Burst Observations by HEPD-01 in the 0.3–50 MeV Energy Range

The High-Energy Particle Detector (HEPD-01) on board the China Seismo-Electromagnetic Satellite, located on a Sun-synchronous orbit at 500 km of altitude with an inclination of 97°, features a dedicated logic counting low-energy event rates, which proved sensitive to intense Gamma-Ray Burst (GRB). The present work reports a comprehensive analysis of signals induced by GRBs in the event-rate data collected between 2018 August and 2022 June. After accurately modeling the background rate as observed in different passages of the satellite over the same geographical area, we detected significant deviations to be compared with observations of GRB candidates from other observatories. The analysis revealed 12 statistically significant excesses, that have been associated with GRB 181222B, GRB 190114C, GRB 190129B, GRB 190305A, GRB 190928A, GRB 200412B, GRB 200422A, GRB 200826B, GRB 201009A, GRB 210702A, GRB 211211A, and GRB 220624A. We report light curves for 0.3–50 MeV photons, comparing them with findings from other space telescopes. The catalog of observations is published, complete of GRB observation time, duration, integrated counts, and fluence.

Quantifying Inequalities in Childhood Immunization Using Summary Measures of Health Inequality: An Application of WHO Stata and R ‘Healthequal’ Packages

Background: Monitoring immunization inequalities is crucial for achieving equity in vaccine coverage. Summary measures of health inequality provide a single numerical expression of immunization inequality. However, the impact of different summary measures on conclusions about immunization inequalities has not been thoroughly studied. Methods: We used disaggregated data from household surveys conducted in 92 low- and middle-income countries between 2013 and 2022. Inequality was assessed for two indicators of childhood immunization coverage [three doses of combined diphtheria, tetanus, and pertussis (DTP) vaccine and non-receipt of DTP vaccine or “zero-dose”] across three dimensions of inequality (place of residence, economic status, and subnational region). We calculated 16 summary measures of health inequality and compared the results. Results: These measures of inequality showed more similarities than differences, but the choice of measure can affect inequality assessment. Absolute and relative measures sometimes produced differing results, showing the importance of using both types of measures when assessing immunization inequality. Outliers influenced differences and ratios, but the effect of outlier estimates was moderated through the use of complex measures, which consider all subgroups and their population sizes. The choice of appropriate complex measure depends on the audience, interpretation, and outlier sensitivity. Conclusions: Summary measures are useful for assessing changes in inequality over time and making comparisons across different geographical areas and vaccines, but assumptions and value judgements made when selecting summary measures of inequality should be made explicit in research.

Comparison of outcomes by race among a population-based matched sample of multiple myeloma patients

Comparison of outcomes by race among a population-based matched sample of multiple myeloma patients

Development of flame retardant slow release insecticides paint and testing its efficacy for four years against dengue and malaria vectors

Insecticide based paint formulations have been available since years, however the concept of using such paint products at household level did not get attention due to various reasons. The advancement in insecticidal paint technology has steered toward the development and evaluation of such formulations for use against arthropod vectors. The improved insecticidal paint formulations may contain two or more active agents, hence could display different type of activity against the target vectors. In the present study, optimum concentrations of deltamethrin (1%), chlorpyriphos (0.5%) and pyriproxyfen (0.075%) were used as active ingredients (AIs) to develop flame retardant slow-release insecticides paint (FRSRIP) formulation. The developed formulation was tested for physico-chemical properties, toxicity and efficacy against two important mosquito vectors. The formulation was glossy, smooth, uniform and scratch proof. Furthermore, the formulation was flame retardant and conformed to class-A according to the guidelines. Acute oral, dermal and inhalation toxicity suggested that the formulation is safe for use in human dwellings. The formulation was evaluated against Ae. aegypti and An. stephensi mosquitoes in laboratory upto four years. It was found that KDT50 after 24 months (T24) was 14.8 ± 0.8 min and 17.1 ± 1.0 min, while after 48 month (T48) was 21.3 ± 2.0 min and 22.4 ± 1.4 min in both Ae. aegypti and An. stephensi respectively. KDT50 was found varying during the different time intervals (T6 to T48) in both Ae. aegypti (p = 0.01) and An. stephensi (p = 0.0003). Furthermore the corrected mortality (CM) also found statistically declined during the period of evaluation (T6 to T48) in both the test species (F ≥ 42. 4; p ≤ 0.0001). Ae. aegypti mosquitoes that survived FRSRIP exposure exhibited overall decline in total eggs laid, eggs hatched, pupae formed and adult emerged at different time intervals upto T21. Behavioural experiments showed that both the tested species elicited negative response to the test formulation. The concentrations of all the three active agents were estimated by HPLC after different time intervals, however only deltamethrin (0.24%) was found after T48. The developed formulation was stable, safe and effective against mosquito vectors for a considerably longer time. In the pretext of continuous toll of vector borne diseases and trans-boundary expansion of mosquito vectors into new geographical areas, the idea of using insecticidal paint could be a game changer.

Genomic and bioacoustic variation in a midwife toad hybrid zone: A role for reinforcement?

Hybrid zones, i.e., geographic areas where diverging lineages meet, hybridize and eventually mix their genomes, offer opportunities to understand the mechanisms behind reproductive isolation and speciation. Hybrid zones are particularly well suited to study reinforcement, i.e., the process by which selection against hybridization increases reproductive barriers, which, in anuran amphibians, is typically expressed by increased divergence in advertisement calls-the main cue to assortative mating-in parapatric ranges. Using mitochondrial barcoding (16S sequences), population genomics (thousands of SNPs) and bioacoustic analyses (four call parameters), we examine the hybrid zone between two incipient species of midwife toads (Alytes obstetricans and A. almogavarii) in southern France, with the purposes of locating their transition, measuring genetic introgression, and documenting potential signatures of reinforcement. We map range boundaries in the Eastern Pyrenees and the southwestern foothills of the Massif Central, namely along the Ariège valley and the Montagne Noire area. Similarly to another transition between these species in Spain, we found the hybrid zone to be narrow, involving geographically restricted gene flow (~20 km wide allele frequency clines) and barrier loci (i.e., loci resisting introgression), both suggestive of partial post-zygotic isolation (hybrid incompatibilities). The calls of the species overlap less inside than outside the hybrid zone, due to a reduction of their standing variation rather than a shift towards distinctive variants. While neutral causes cannot be excluded, this pattern follows the general expectations of reinforcement, yet without reproductive character displacement. Our study highlights the potential of amphibian hybrid zones to assess the genetic and behavioral drivers of reproductive isolation in statu nascendi and under various evolutionary contexts.

Exploring Teachers' Educational Philosophies: A Comparative Analysis Based on Geographic Classifications

This qualitative phenomenological research explores the lived experiences of key informants through in-depth interviews and participant observation. The teacher-participants, who work in three geographical areas, were identified by the Department of Education (DepED) in the Schools Division Office of Albay. The study is grounded in the phenomenological concepts and principles of Husserl (1859-1938) and Heidegger (1889-1976), along with the Reflection-Action perspective of Freire (1921-1997), to capture the essence of their experiences. Due to the global health crisis caused by COVID-19, data collection utilized virtual platforms such as Facebook Messenger, Google Meet, Zoom, and phone calls, in addition to face-to-face interviews when possible. Health protocols mandated by the Inter-Agency Task Force (IATF), including mask-wearing, social distancing, and the use of hand sanitizer, were strictly followed to ensure safety. The findings indicate that teachers from rural, urban, and coastal areas reflect various educational philosophies such as essentialism, humanism/existentialism, pragmatism/progressivism, reconstructionism, constructivism, idealism, behaviorism, and perennialism. Some teacher-participants from rural and coastal areas also exhibit positivism, influenced by their expertise in mathematics and science. These educational philosophies enhance their coping mechanisms and teaching competencies to adjust to the local cultural realities.

Disentangling the socio-natural dynamics of drought and water scarcity in Colombia's Tropical Andes

Study regionThe Guachal River Basin (GRB), a headwater of the Cauca River in Colombia's Tropical Andes. Study focusDroughts develop gradually, without clear time-space boundaries, affecting extensive geographical areas. When droughts occur, they exacerbate existing water scarcity, aggravating the negative impacts on vulnerable populations and ecosystems. The drivers of these phenomena are complex, ranging from natural to anthropogenic, and their impacts are cumulative and not structural. This research investigates the socio-natural dynamics of drought and water scarcity in the GRB. We explore these dynamics through secondary data review and stakeholder interviews, capturing perceptions and manifestations of droughts beyond official reported data. The Drivers-Response-Impacts framework is employed to unravel these complexities and offer insights to improve drought and water management. New hydrological insights for the regionOur research reveals that water scarcity in the GRB primarily results from land use changes and water overconsumption by the local elite, who have transitioned to sugarcane farming. ENSO-driven droughts further exacerbate water shortages in the GRB. Policy responses to drought and water scarcity are often ineffective and reactive, addressing only immediate symptoms rather than long-term drivers, such as the role of the elite in perpetuating scarcity. We explore several strategies to enhance water management: exploring new drought indicators, creating comprehensive drought damage inventories, implementing adaptable demand control mechanisms targeting high-volume users, and enhancing stakeholder participation in decision-making processes.

Socio-economic and geographical inequalities in neonatal mortality rates in Sierra Leone, 2008–2019

BackgroundSierra Leone has reduced neonatal mortality rates(NMR) in recent years. Despite this progress, disparities in newborn survival persist across socio-economic and geographic areas. This study examined the inequalities in neonatal mortality rates in Sierra Leone between 2008 and 2019.MethodsWe utilized data from the Sierra Leone Demographic Health Survey rounds conducted in 2008, 2013, and 2019. We used the World Health Organisation Health Equity Assessment Toolkit to calculate simple measures of inequality (Difference, and Ratio), and complex measures of inequality (Population Attributable Risk, and Population Attributable Fraction). Inequality in neonatal mortality rate was calculated on six stratifiers: maternal age, maternal economic status, maternal level of education, place of residence, sex of the child, and sub-national province.Results Neonatal mortality rate decreased in Sierra Loene from 48.6 deaths per 1,000 live births in 2008 to 29.6 deaths per 1,000 live births in 2019. There was an increase in age-related inequality from a Difference of 0.7 deaths per 1,000 live births in 2008 to 4.3 deaths per 1,000 live births in 2019. Economic inequality decreased from a Difference of 26.8 deaths per 1,000 live births in 2008 to -3.4 deaths per 1,000 live births in 2019. Inequality in education decreased from a Difference of 4.6 deaths per 1,000 live births in 2008 to -4.2 deaths per 1,000 live births in 2019. Inequality increased from a Difference of − 0.5 deaths per 1,000 live births in 2008 to -4.2 deaths per 1,000 live births in 2019 for place of residence. For the child’s sex, the inequality increased from a Difference of − 7.9 deaths per 1,000 live births in 2008 to -11.1 deaths per 1,000 live births in 2019. Provincial inequality increased slightly from a Difference of 14.0 deaths per 1,000 live births in 2008 to 14.4 deaths per 1,000 live births in 2019.ConclusionThe findings show a decline in the national neonatal mortality rate from 2008 to 2019, indicating improvements in healthcare and maternal support. While economic and educational inequalities have decreased, especially in education, sustaining these gains is essential for equitable healthcare access. Despite this progress, inequalities based on age, residence, child’s sex, and province still exist, and have increased between 2008 and 2019. Policymakers should focus on targeted programs for vulnerable age groups and sexes, and develop geographical strategies to ensure uniform improvements in neonatal health.

Efficiency and transparency in the management of energy transactions of a smart grid

Smart grids are developing rapidly, offering significant benefits but also major challenges. Among the main issues are trust between network players, transparency of energy transactions and data confidentiality. To address this, it is crucial to create energy transaction systems that ensure transparency, trust, and minimization of energy losses, while preserving the confidentiality of the information exchanged. An in-depth study led to the design of an innovative architecture in 7 layers, including a specific layer for energy transfer in order to accurately monitor consumption in smart grids. The division of smart grids into geographical areas aims to optimize energy transmission and reduce losses. In this article, a smart contract-based mechanism was developed, deployed on an Ethereum testnet to manage financial and energy transactions, to ensure transparency and build trust. A decentralized application (Dapp) has also been created to facilitate the management of these transactions. This architecture has been validated by comparative simulations between our market model and the one based on the double auction mechanism. The results show that our system, using energy consumption tokens on the Ethereum Virtual Machine (EVM) of the Sepolia testnet, reduces transaction losses, stabilizes prices, and maintains a high level of satisfaction through transparent and reliable transaction management and consumption tracking.

Artificial Intelligence for Earthquake Prediction: A Preliminary System Based on Periodically Trained Neural Networks Using Ionospheric Anomalies

There is increasing evidence that anomalies in the ionosphere could appear a few days before large earthquakes. Many significant successes with using anomalies for predictions have been reported, although they are usually limited, both in space, to a specific geographic area, and in time, to one or a few events. To date, no solution has been presented that consistently yields the location and magnitude of future earthquakes and thus can be used to develop a warning service. The purpose of this research is to improve on the possible use of Global Ionospheric Maps for earthquake prediction. The use of three-dimensional data matrices, having spatiotemporal information to feed a convolutional neural network, is proposed in this contribution. This network was trained on all large earthquakes occurring from the beginning of the year 2011 to the beginning of October 2024 but it is proposed that it be periodically retrained with new data. This network has reached an accuracy of around 60% in the validation data for a division into eight categories of different earthquake magnitudes. Nevertheless, this percentage increases considerably if the classification into neighboring categories is also accepted, something that could be clearly admissible for the purposes of a warning system. The author believes that success in this endeavor has to come from a collaborative effort. For this reason, the training and validation data with three-dimensional matrices (latitude/longitude/time) of total electron content values along with the subsequent earthquake magnitudes are provided in this paper along with the trained network. Researchers are strongly encouraged to improve on the current neural network with or without the inclusion of additional information.

Prospective registry of heart failure with preserved ejection fraction in México: EDIFICE-Mx

Background and aimsHeart failure with preserved ejection fraction (HFpEF) is an increasingly common clinical syndrome, estimated to constitute approximately 50 % of all heart failure (HF) cases. Nonetheless, registries from specific geographic areas, as Latin America, are lacking. The present study aims to report the underlying causes, comorbidities, treatment patterns and outcomes of patients with HFpEF in a large cardiovascular center in Mexico City. MethodsThe present is a prospective, longitudinal, observational study, including female and male patients over 18 years of age, who presented to the emergency department, coronary care unit or outpatient department of the National Institute of Cardiology Ignacio Chavez in Mexico City with HFpEF. Patients were classified according to different phenotypes and current literature. The primary outcome was the composite total HFpEF hospitalization and all-cause mortality. ResultsWithin a median follow-up of 472 (IQR 425–518) days, total mortality was 14.56 %, with 10.68 % attributed to cardiovascular causes. HF hospitalization was 7.77 %. Atrial fibrillation showed a notable association with outcomes (adjusted HR 2.87, P = 0.028). Beta-blocker showed a non-significant trend towards benefit, while mineralocorticoid receptor antagonists (MRA) significantly influenced outcomes (adjusted HR 3.30, P = 0.018). The primary composite endpoint occurred in 19.42 % of patients, with no significant difference among phenotypes (P = 0.536). ConclusionsWe observed a substantial comorbidity burden impacting quality of life, as indicated by KCCQ scores. There was a high incidence of hard endpoints, including cardiovascular death and hospitalizations, alongside significant variability in treatment utilization. Future research should focus on elucidating individual healthcare trajectories in HFpEF patients and promoting wider adoption of evidence-based therapies.

Monitoring water quality parameters in urban rivers using multi-source data and machine learning approach

The systematic surveillance of nutrients and organic pollution in urban rivers is crucial for enhancing ecological integrity and promoting societal and economic sustainability. Currently, the primary methods of water quality monitoring involve on-site sampling and laboratory analysis, which are constrained by various factors such as terrain and climate. Remote sensing water quality monitoring, which enables large-scale, periodic, and comprehensive coverage, serves as an important supplement to these traditional methods. However, most current research on water quality monitoring predominantly relies on remote sensing technology, often overlooking the application of other multi-source data. In this study, we examined rivers in the Weihe River Basin by integrating field samples, Sentinel-2 multispectral imagery, meteorological elements, and land use types to construct machine learning (ML) models for predicting four water quality parameters (WQPs): ammonia nitrogen (NH3-N), total phosphorus (TP), chemical oxygen demand (COD), and dissolved oxygen (DO). The results showed that land use types significantly influenced the accuracy of predictions for NH3-N, TP, COD, and DO. Among the models evaluated, the Extra Tree Regression (ETR), eXtreme Gradient Boosting (XGBoost), and Gradient Boosting Regression (GBR) demonstrated the highest accuracy and transferability for monitoring WQPs in rivers. For instance, the models achieved the following coefficients of determination (R2) in 5-fold cross-validation: for NH3-N, R2 was 0.65 in both the testing and validation datasets; for TP, R2 was 0.71 and 0.68; for COD, R2 was 0.50 and 0.47; and for DO, R2 was 0.68 and 0.64, respectively. Therefore, our findings underscore the feasibility of using multi-source data and ML methods to quantify water pollutants in urban rivers, providing essential technical support for monitoring the spatiotemporal dynamics of river water quality across extensive geographical areas.

Study of the Correlation between the Extent and Clinical Severity, and the Histopathological Characteristics of Geographic Tongue.

Geographic tongue is an oral lesion with an unknown etiology. Recently, the Geographic Tongue Area and Severity Index (GTASI) has been proposed to assess the area and severity of geographic tongue, aiming to measure the clinical severity of the condition. However, this index does not account for the histopathology, which vary based on the clinical stage of the lesion and the biopsy area. The present study aimed to evaluate the correlation between GTASI score and its histopathological features. This cross-sectional observational study included 40 participants diagnosed with GT confirmed both clinically and histopathologically. Considering GT severity, a vast majority 60% of cases were classified as mild, with females' predominance in both mild and severe categories. The average age of participants was 56 years for mild and severe cases and 47 years for moderate ones. The prevalent histopathological features of geographic tongue included parakeratosis, acanthosis, spongiosis, basal layer hyperplasia, mono- and polymorphonuclear exocytosis, suprapapillary hypotrophy, claviform epithelial ridges, fusion of epithelial ridges, conjunctival papillary edema, and chronic subepithelial infiltration, with no significant differences taking into consideration clinical severity level. Papillary vascular ectasia, Munro microabscesses, Kogoj pustules, and dense connective tissue were more prevalent in with more severe cases of GT. Mild inflammatory infiltrate intensity was predominant in persons with mild GT, while moderate infiltrate intensity was found predominantly in moderate cases of GT. The clinical severity level of GT closely corresponds with its histopathological characteristics.

Children's Pathways into Commercial Sexual Exploitation in the United States: A Systematic Review.

This study examined current evidence on children's pathways into commercial sexual exploitation (CSE) in the United States to determine if characteristics, vulnerabilities, and social contexts were distinguishable by age, gender, race/ethnicity, and location. Using Preferred Reporting Items for Systematic Review and Meta-Analyses guidelines, peer-reviewed studies and grey literature were included if they were focused on CSE pathways prior to age 18, available in English, U.S. based, and published in or after 2013. In total, 1,989 articles were screened and 306 were eligible for full-text review. In total, 22 studies were analyzed. Nine studies focused on cis girls or women. No studies exclusively focused on CSE among cis boys, gender diverse children, children identifying as LGBTQ+, or children initiated from infancy through preadolescence. Findings indicate that boys and girls at different life stages were initiated into CSE by five pathways, including: (a) family members and caregivers' paramours; (b) romantic partners; (c) peers, friends, and acquaintances; (d) strangers; and (e) circumstantial need. Girls and boys in infancy, toddlerhood, and preadolescence and across rural-urban classifications were exploited by family members, parent's romantic partners, and acquaintances known to their family. Adolescent girls, including those with intellectual disabilities, were trafficked by boyfriends, strangers, and out of circumstantial needs. This is the first review to provide a contemporary overview of dynamics that marked children's CSE pathways from infancy through adolescence. Findings revealed need for future research on CSE-impacted boys, gender diverse and LGBTQ+ children, and intellectually challenged children across early life stages and geographic areas.