Intraregional Variation Research Articles

Heterogeneity of population exposure to particulate matter pollution and its socioeconomic driving mechanism in Shaanxi Province, China

The rapid pace of economic and social development has led to a surge of particulate matter (PM) pollution incidents, which is detrimental to human health. Air quality in China has improved in recent years, but differences in PM exposure remain due to spatial heterogeneity in pollution and population. The identification of socioeconomic factors associated with PM pollution has attracted widespread attention. Current research predominantly targets cities, overlooking regional and county scale disparities. An analytical framework is established to evaluate the spatial heterogeneity in PM exposure and to identify the socioeconomic factors contributing to its pollution. The results revealed that: (1) the Theil index increased from 0.06 to 0.12, indicating a gradual increase in the inequality of PM exposure in Shaanxi Province. The differences within the Guanzhong Plain are obvious and the interregional differences substantially outweigh the intraregional variations. (2) Energy transition is pivotal in curbing air pollution in a region and economic growth consistently fuels particulate emissions. (3) For effective pollution mitigation, further emphasis on vegetation preservation and environmental inputs is imperative. The findings of this research provide decision support for optimizing air pollution control measures at the county scale.

Organisation and management of multi-professional care for cancer patients at end-of-life: state-of-the-art from a survey to community and hospital-based professionals.

Providing timely and satisficing End-of-Life care (EOLC) is a priority for healthcare systems since aging population and chronic diseases are boosting the global demand for care at end-of-life (EOL). In OECD countries the access to EOLC is insufficient. In Italy, the average rate of cancer patients assisted by the palliative care (PC) network at EOL was 28% in 2021, with high variability in the country. Among theItalian regions offering the best coverages, Tuscany has a rate of about 40%, but intraregional variation is marked as well. The study aims to explore the delivery of EOLC to adult cancer patients in public facilities in the Tuscany region through survey data collection among professionals. Two online surveys were delivered to Directors of community-based PC Functional-Units (FUs) and Directors of hospital-based medical-oncology units. All FU Directors responded to the survey (n = 14), and a response rate of 96% was achieved from hospital-unit Directors (n = 27). The results highlight the availability of numerous dedicated services, but reveal heterogeneity among and within organisations, including variations in the professionals involved, pathways, and tools adopted. Care continuity is supported by institutionalized collaboration between hospital and community settings, but hindered by fragmented care processes and heterogeneous transition pathways. Late referral to PC is perceived as a major constraint to EOLC. Developing structured pathways for patient transition to end-stage PC is crucial, and practices/processes should be uniformly implemented to ensure equity. Multi-professional care should be facilitated through tailored supporting tools. Both hospital-unit and FU Directors suggest developing shared pathways between organisations/professionals (82% and 80% respectively) and digital information sharing (61% and 80% respectively). Hospital and community-based professionals have similar perceptions about the concerns and challenges to EOLC provision in the region, but community-based professionals are more sensitive to the importance of improving communication on PC to the public and early discussing EOLC with caregivers. This finding suggests the need of enhancing hospital personnel's awareness about these issues. Professional training and the capacity to assess patients' needs and preferences should be improved. The identified needs can inform future research and interventions to improve the quality and outcomes of EOLC for cancer patients.

The Characteristics and Variation of the Golden Eagle Aquila chrysaetos Home Range

Satellite tracking allows for novel investigations into golden eagle home range characteristics. Understanding home range characteristics is important for conservation and for assessing the potential impact of landscape changes from forest planting, wind farms, etc. Small sample sizes, inconsistent definitions and methods restricted several previous studies. Our study involved 69 resident tagged eagles with over one year of data across five Scottish regions. Home range size was estimated from 95% isopleth contours extracted from Utilisation Distributions. Above a small threshold, estimated range size was not affected by the number of records but at least one year of data is required, largely because of the breeding and non-breeding seasonal differences. There were no significant range size differences between birds tagged as range holders and those previously tagged as nestlings. Across four regions, with considerable intra-regional variation, planar 95% isopleths did not differ (medians, km2): Argyll 58.9, Northwest Highlands 61.7, Northeast Highlands 89.3, South of Scotland 91.9. Ranges in the isolated Outer Hebrides region were exceptionally small, at 24.0 km2. Estimated range area was usually reduced to 70–80% of the planar area when restricted to usable habitat, as estimated by the Golden Eagle Topography (GET) model. Applying measures of known unsuitable habitat (closed-canopy commercial forest and wind turbines) further reduced usable open land. Loss of otherwise suitable habitat was substantially due to commercial forest. Larger ranges had larger extents of suitable habitat (according to GET), with no apparent optimum of preferred GET habitat. Range size was not different across a year between the sexes. Breeding ranges were smaller, and females’ breeding ranges were much smaller than those of males, but larger than males’ ranges in the non-breeding season. Breeding attempt duration was probably also influential. Our study provides novel insights into golden eagle home range characteristics and can guide further research and practical applications.

Spatial-Temporal Coupling Coordination Relationship between Urban Green Infrastructure Construction and Economic Development in China

Urban green infrastructure construction and economic growth are necessary ways and important supports to promote sustainable development. Exploring their coupling coordination relationship is important for achieving high-quality economic development. This study uses the entropy method, coupling coordination degree, kernel density estimation, the Dagum Gini coefficient, and spatial autocorrelation to explore the spatial-temporal pattern characteristics and coupling coordination relationship between green infrastructure construction and economic development for 273 cities in Chinese mainland in 2010–2020. The results show that the level of China’s green infrastructure construction and economic development gradually increased during 2010–2020. There were significant regional differences in space, exhibiting a decreasing spatial pattern from east to west. The coupling coordination degree was constantly improving. The overall Gini coefficient shows an upward trend. Among the four regions, eastern China has the greatest intraregional variation. The uneven level of coupled coordination is mainly from interregional variation. There was a significant positive spatial autocorrelation relationship, and cities that had a higher degree of coupling coordination tended to agglomeration development. Meanwhile, it also had certain spatial heterogeneity. China’s entire level of coupling coordination degree still has much room for improvement. The study is of great significance in reducing disparities between regions and strengthening regional spatial coordination development.

Disparities in incidence and mortality of hematologic cancers in Southeast Asia: A 2020 analysis.

e23291 Background: Hematologic cancers (HCs) in Southeast Asia (SEA), a diverse population of over 680 million, are still understudied. Data from the 2020 Global Cancer Observatory (GCO) was used to estimate the incidence and mortality of HCs in the region to provide direction for effective disease control and improve population outcomes. Methods: The International Agency for Research on Cancer’s publicly available GCO data aggregates global cancer incidence and mortality. We report cumulative incidence rate (CIR) and cumulative mortality rate (CMR) defined per 100,000 people, and weighted average age-standardized incidence rate (ASIR) and age-standardized mortality rate (ASMR) in 2020. Data for Hodgkin Lymphoma (HL), Non-Hodgkin's Lymphoma (NHL), Leukemia, and Multiple Myeloma (MM) in the world, in SEA, and in the 11 individual SEA countries are presented. Results: The table presents CIR, ASIR, CMR, and ASMR of hematologic cancers in SEA compared to overall global data. CIR, ASIR, CMR, and ASMR were higher for males than females in SEA. For NHL, CIR was highest in Singapore (18.8), Thailand (10.2), and Brunei (9.6) and lowest in Myanmar & Cambodia (3.6), and Timor-Leste (2.7). ASIR trends were parallel albeit differences were smaller. CMR was highest in Singapore (6.2) and Thailand (5.9) and lowest in Timor-Leste (1.5). ASMR was highest in Brunei (4.5) and lowest in Timor-Leste (2.0). For leukemia, CIR was highest in Singapore (11.1) and lowest in Myanmar (3.1) and Timor-Leste (2.6); ASIR was highest in Singapore (8.9) and lowest in Myanmar (3.2) and Timor-Leste (2.9). CMR was highest in Singapore (5.2) and lowest in Myanmar (2.6) and Timor-Leste (2.3). ASMR was highest in Lao PDR (4.7) and Vietnam (4.5), and lowest in Singapore (3.1) and Timor-Leste (2.9). For MM, CIR was highest in Singapore (4.1), ASIR was highest in Brunei (2.4) and both are lowest in Myanmar (0.4). CMR was highest in Singapore & Thailand (1.8) and lowest in Myanmar (0.35); ASMR rates were similar. For HL, CIR was highest in Brunei Darussalam (1.8) and Singapore (1.4) and lowest in Myanmar (0.2). ASIR trends were similar. CMR was highest in Vietnam (0.26) and lowest in Singapore (0.1) and Myanmar (0.08). ASMR trends were similar. Conclusions: Despite lower regional average incidence and mortality, significant intra-regional variations exist reflecting disparities in the management of HCs. In addition, while data suggests lower disease burden in SEA, mortality rates are still comparable and in some cases worse than the global average. More work is needed to investigate HC epidemiology in SEA to inform cancer control in the region and improve its blood cancer outcomes. [Table: see text]

Measurement and synergistic evolution analysis of economic resilience and green economic efficiency: Evidence from five major urban agglomerations, China

It has become a significant issue for urban economies to maintain efficient and green development while ensuring security and stability. This study evaluated economic resilience (ER) and green economic efficiency (GEE) in China's five urban agglomerations using the combined weight model and the meta-frontier global super-efficiency SBM model with undesired outputs. Analyzed synergistic degrees between ER and GEE and regional differences by the modified coupled coordination model and Dagum's Gini coefficient. Results indicated that ER overall showed an increase from 2003 to 2021. GEE exhibited a slanting 'W' shaped trend but remained generally upward. In addition, the synergistic degree between ER and GEE increased, indicating beneficial interactions and a trend of synergistic evolution moving towards advancement. Spatial differences in synergistic degree were mainly due to hypervariable density, with inter-regional variations as a secondary factor. The Pearl River Delta (PRD) showed the highest intra-regional variation in synergistic degree and the Chengdu-Chongqing region (CC) the least. The synergistic gap between CC and PRD was the largest, while the gap between CC and the middle reaches of the Yangtze River (MYR) was the smallest. Understanding ER and GEE's spatiotemporal evolution is expected to induce sustainable economic development in urban agglomerations further.

Study on the Spatial-temporal Evolution Characteristics and Trajectory of the Coupling Coordination Degree between Carbon Emission Intensity and High-quality Development of Energy-intensive Industries

This paper constructs the index of high-quality development of energy-intensive industries and calculates the coupling coordination degree between high-quality development and carbon emission intensity. In this study, the dynamic evolution process, regional inequality and convergence characteristics of the coupling coordination degree are investigated using kernel density estimation, Dagum Gini coefficient, and convergence analysis. The results show that (1) the full-sample coupling coordination degree fluctuates in medium levels, showing a two-stage inverted U-shaped trend. In addition, the highest coupling coordination degree occurred in the eastern region, followed by western provinces, and the lowest in the central regions. (2) Results of kernel density estimation showed a shift in coupling coordination degree from bipolar to unipolar; (3) the Dagum Gini coefficient shows that the general, inter-regional, and intra-regional variations all show an upward trend, suggesting a significant elevated polarization effect. Additionally, the primary determinants influencing the Dagum Gini coefficient reveal a pattern of “inter-regional variation - antagonism - hypervariable density.” (4) absolute convergence exists in the overall sample and in the eastern region, while it is not significant in the central and western regions. Based on the aforementioned findings, this study proposes policy implications for different regions in China.

Industry-Academia Collaboration in the Field of Functional Nucleic Acids: An Analysis Based on Papers and Patents

Abstract This investigation delves into the evolving patterns and regional variances in industry-academia collaboration (IAC) within Functional Nucleic Acids (FNAs) research. Analyzing publications and patents from 1990 to 2021, we dissected IAC at individual and collective levels, documenting the count and share of IAC endeavors, key partners, and regional differences. Results indicate a rising trend in IAC publications and collaborating institutions, while patent trends display a mix of increases, decreases, and steady states. The United States leads in IAC activities, correlating with its prowess in scientific research and technological innovation. Notably, regional discrepancies in IAC are mainly due to intra-regional variations, with Asia and Europe experiencing the most pronounced disparities.

Estimated-Adult BMI Versus BMI for Monitoring Childhood Obesity

A child or an adult is considered obese (wasted), when the incumbent has excess (lesser) mass-for-height. BMI (body-mass index) is, universally, employed to estimate status of obesity (wasting). The name was given by Ancel Keys (1904-2004) and co-workers, replacing the earlier name ‘Quetelet index’ (1832) after the Belgian astronomer, mathematician and statistician, Adolphe Quetelet (1796-1874). To compute BMI of an individual, one should divide the incumbent’s mass (in kg — kilograms) by square of height (in m — meters). This index has its weak as well as its strong points. It is not able to account for factors like size of body frame as well as muscularity. Further, it is based on incorrect assumptions about body fat and lean mass distribution. As the person attains mature age, a decrease in height occurs, which results in BMI reduction, although the mass is not altered. Further, BMI is not able to establish a universal threshold for conditions of overweight and underweight as well as inter- and intra-region variations in body compositions of different communities, the later one appears by the presence of different ethnic groups within the same region. For children, the BMI range, which is routinely employed for estimating statuses for adults, is not applicable. BMI tables are needed to interpret childhood obesity-and-malnutrition.

Editorial

Editorial

Housing Choices of Young Adults in Sweden

This study investigates why young adults live with their parents in Sweden. As young adults’ living arrangements affect decisions about marriage, education, childbirth, and participation in the workforce, more knowledge for policymakers is crucial to implementing effective policies to support young adults and promote financial independence and well-being. Using a data set from 1998 to 2021 at the municipal level in Sweden, we used a spatial autoregressive panel data model to examine the proportion of young adults living at home and the regional disparities. The study uncovered intraregional variations that illustrate how different municipalities in Sweden exhibit different patterns of young adults living at home. Our findings reveal that economic factors such as unemployment significantly impact this pattern. Housing market dynamics, demographic factors, cultural differences, and location-specific characteristics also play an essential role in explaining this pattern. These findings suggest that the key drivers are the lack of rental housing, high unemployment rates, a high degree of urbanisation, interregional migration, and social capital (such as social cohesion and inclusion).

Spatial-temporal evolution and driving factors of green high-quality agriculture development in China

The fundamental means of addressing the challenges concerning China’s agricultural resources and environment is to achieve green and high-quality development within the agricultural sector. In this study, we measured the level of green high-quality agricultural development (GHQAD) in China from 2003 to 2020, and used Theil index, Moran’s I and Geographic detector to reveal the evolution trend and driving factors of GHQAD in China. The results show that the development level of GHQAD in China is constantly improving while the spatial difference is decreasing, and the primary contributor to this overall variation is the intra-regional variation. The spatial distribution of GHQAD in China was positively correlated, with high concentration in eastern and central regions, and low concentration in western regions. Notably, topographic relief degree and urbanization level are the key driving factors contributing to the spatial differences in GHQAD across China. The insights gained from this study will be particularly valuable for the government decision-making processes, thereby elevating GHQAD development in China and ultimately achieving coordinated development within the agricultural sector.

Lessons from a global antimicrobial resistance surveillance network.

The World Health Organization developed the Tricycle surveillance programme to obtain a global picture of antimicrobial resistance, especially in countries with limited surveillance capacity. The programme was developed within a One Health perspective. Tricycle provides a framework for applying a standardized technical protocol to determining the prevalence of extended-spectrum β-lactamase (ESBL)-producing Escherichia coli in three sectors: the human, animal and environment sectors. Regular use of the protocol would enable information to be obtained on time trends and on inter- and intraregional variations, thereby generating dynamic data on antibacterial resistance for decision-makers. To date, 19 countries have begun implementing the Tricycle protocol, while other countries will start implementation in the coming years. The Network for Enhancing Tricycle ESBL Surveillance Efficiency (NETESE) was established to support countries implementing the Tricycle protocol. Currently, NETESE includes representatives from 15 institutions in eight low- or middle-income countries at different stages of Tricycle protocol implementation, and from four European countries involved in devising the protocol. This paper describes the Tricycle protocol, reports the initial experiences of NETESE participants with its implementation and discusses future challenges and opportunities.

Regional unevenness in the construction of digital villages: A case study of China.

In regard to the comprehensive promotion of rural revitalization, the construction of digital villages is a crucial development. Because the construction of digital villages is considerably novel, the existing studies mainly focus on the theoretical aspects pertaining to the rational and practical robustness of digital villages, and with regard to regional unevenness, the number of studies that consider the current characteristics, absolute gaps, and impact mechanisms pertaining to the construction of digital villages is insufficient. Based on the regional unevenness that characterizes digital village construction, this study proposes a research framework for digital technology-enabled village construction, which integrates three major factors, namely technology, institutions, and human resources; thus, the comprehensive assessment pertaining to the level of digital village construction is enhanced. This study, which applies the aforementioned research framework, constructs an index system for evaluating the construction level of digital villages, and to reveal the characteristics pertaining to regional heterogeneity and the main influencing factors pertaining to the construction level of digital villages in China (study period; 2015-2020), it utilizes the Dagum Gini coefficient method and the spatial econometric model. Consequently, the researchers observe the following: First, the level of digital village construction in China exhibits a "W-shaped" recovery growth. Second, with respect to the regional level, the eastern region exhibits the highest level of digital village construction, followed by central and western regions; furthermore, we observe that the eastern and western regions account for the greatest intra-regional variation, and that with regard to the overall difference, the inter-regional gap represents the main causative factor. Finally, with regard to influencing factors, technology and innovation capabilities, occupational differentiation of farmers, economic development significantly contribute to the level of digital village construction, whereas fiscal autonomy exerts a significant inhibiting effect. In regard to the level of digital village construction, the research framework and results may provide a novel analytical framework for examining the main sources of regional unevenness, and it may also provide a reference for decision-making, which can influence the construction of digital villages in China as well as in other countries.

The intonation of neighboring varieties

Abstract Despite the presence of several cross-variety studies on spoken varieties of regional Italian, research on the intonational transition across geographically close varieties is still scarce. This article tackles this issue by providing a first cross-variety comparison of question intonation in three neighboring varieties of Italian spoken in Campania, namely Neapolitan, Salerno and Cilento Italian. The three varieties are chosen based on their position with respect to the isoglosses identifying the Eboli-Lucera line. Such comparison is made possible using the methodological protocol outlined by Gili Fivela et al. (2015) and specifically concerns yes-no, wh- and disjunctive questions. This explorative study aims at identifying intonational features differenced by frequency of occurrence across space, thereby providing a basis for further quantitative studies on spatial distribution. Based on a corpus elicited with a combination of Discourse Completion Task and reading task, we analyze the phonological features of question tunes in Cilento Italian, while also comparing them to their counterparts in Neapolitan and Salerno Italian. Results show that the three varieties present systemic, realizational and phonotactic differences as well as differences in the frequency of occurrence of tonal events. The intraregional variation across Campania Italian varieties hints at an intonational transition featuring a smooth geographic cline.

The Study of the Heterogeneity of the Qualities of Argan Oils and Pomaces from Different Cooperatives in the Essaouira Region (Morocco)

In this study, a comparison of the intra-regional variation in the quality of Argan oil and pomace collected from 12 cooperatives in the Essaouira region (Morocco) during the COVID-19 period was carried out. All studied Argan pomaces together with the extraction solvents showed a significant difference (p ≤ 0.05) in the total phenolic compounds, flavonoids, and tannins contents. The proteins, residual oils, total sugars, and total reducing sugars contents in the collected pomaces vary considerably among cooperatives of origin, with maximum averages of 50.45%; 30.05%; 3.82 milligrams of glucose equivalent per gram of dry matter; and 0.53 milligrams of glucose equivalent per gram of dry matter, respectively. Therefore, it is a very valuable ingredient for livestock feed and some cosmetic products that may contain it. The remaining Argan oil content in the pomace varied significantly among cooperatives, ranging from 8.74 to 30.05%. Pomace from traditional extraction recorded the highest content (30.05%), showing that the artisanal and modern extraction processes are not standardized. The measurements of acidity, peroxide value, specific extinction coefficient at 232 nm and 270 nm, and conjugated dienes were carried out in accordance with Moroccan Standard 08.5.090 in order to qualitatively classify all investigated Argan oils. Accordingly, the analyzed oils were categorized as "extra virgin Argan oil," "fine virgin Argan oil," "ordinary virgin Argan oil," and "lampante virgin Argan oil." Therefore, several factors can explain these variations in quality grades, both endogenous and exogenous. Overall, the variation observed in the obtained result allows us to deduce the most significant variables impacting the quality of Argan products and by-products.

Power sector decarbonization planning considering renewable resource variability and system operational constraints

Bottom-up long-term planning models generally consider low levels of spatial, temporal, and technical details to reduce associated computation. However, these details are required to capture spatial and temporal variability of Renewable Energy Sources (RESs) and perform harmonized dispatch of conventional generating units. In their absence, models may overestimate RESs uptake and underestimate the quantum of required flexible resources. This may create a false impression of sector decarbonization and the obtained capacity mix may result in frequent RES or load curtailment during real-time system operations. In this context, this study aims to improve upon the shortcomings of conventional planning approaches and develop a TIMES based planning model for the Indian power sector. The model adopts high spatial and temporal definitions of 5 regions and 288 sub-annual timeslices. RESs are categorized into sub-classes based on annual capacity factors to capture their intra-regional variations without further increasing the spatial resolution. Each month is represented by a day of chronological hourly resolution that facilitates the capture of RES temporal variations and incorporation of operational aspects of generating units such as minimum stable generation, ramp limits and partial load operation. The impact of these operational parameters on system planning is analysed to identify a trade-off between planning accuracy and computational complexity. The study is relevant for countries that are rigorously following their decarbonization plans with high penetration of variable RESs and have a similar trajectory as that of India. The results indicate that decarbonization levels can be better assessed if capacity mix and flexible resources are adequately valued by considering operational parameters at the planning stage for a power system dominated by low flexible generation.

Association between Education and Intra-Regional Variation on Child Marriage in Sub-Saharan Africa

Child marriage is a bane to sustainable development, as it has been associated with the prevalence of sexually transmitted diseases, intimate partner violence, and maternal mortality. This study examines the association between education and child marriage is sub-Saharan Africa. A subsample of one thousand, four hundred and sixty-one females, aged 12 years to 18 years was extracted from the 2018 Nigeria Demographic and Health Survey dataset. The independent variables were intra-regional groups and education. The dependent variable was child marriage (<18 years). The associations between intra-regional groups and education on child marriage were examined from the ever-given birth subsample to estimate odds ratios (ORs) and 95% CIs, using binary logistic regression models. There was a positive significant relationship between maternal education (χ2 = 65.5, p < 0.05) and intra-regional ethnic groups (χ2 = 106.58, p < 0.05) on child marriage. The odds were higher among the Hausa/Fulani groups that do not have a formal education (OR = 1.34; p < 0.05), have a poor financial status (OR = 1.67; p < 0.05), and those who had previously terminated a pregnancy (OR = 1.24; p < 0.05). The findings indicate that the intra-regional ethnic group affiliation and the lack of a formal education influences the incidence of child marriage, especially among socio-economically disadvantage females. Interventions aimed at curtailing child marriage should utilize community-based education to engage relevant stakeholders within the grassroots.

Regional inequality in the carbon emission intensity of public buildings in China

Driven by urbanization and the growth of residents’ income, CO2 emissions from energy consumption in public buildings have gradually become an important source of CO2 emission growth in China. There is an obvious phenomenon of carbon emission inequality, and there is still a research gap. This study explores the inequality in the carbon emission intensity of public buildings and its drivers on two scales—carbon emissions per capita and per unit of floor area—using provincial panel data for public buildings in China from 2010 to 2019 by Kaya-Theil model. The following results are obtained: (1) The carbon emissions per capita increased from 415 kg to 605 kg, those per unit of floor area decreased from 70.67 kg to 62.16 kg, and those from public buildings in hot summer and cold winter regions and cold regions were significantly higher than those in other regions. (2) The overall regional variation in the carbon emission intensity of public buildings mainly consists of intra-regional variations, ranging mainly from 70% to 90%. The role of building climate zones in the spatial difference in carbon emissions per capita is gradually increasing. (3) The added value of the tertiary sector per capita is the main factor contributing to the inequality in the carbon intensity of public buildings, with a contribution of approximately 70% (±5%), and energy consumption per unit of floor area gradually contributes to the increase in carbon inequality. Our findings provide practical guidance for reducing the carbon emission intensity, thereby further promoting the development of global low-carbon goals.

Antibiofilm and Anti-Quorum Sensing Potential of Cycloartane-Type Triterpene Acids from Cameroonian Grassland Propolis: Phenolic Profile and Antioxidant Activity of Crude Extract.

Propolis is very popular for its beneficial health properties, such as antimicrobial activity and antioxidant effects. It is one of the most long-serving traditional medicines to mankind due to its interesting chemical diversity and therapeutic properties. The detailed chemical information of propolis samples is very necessary to guarantee its safety and for it to be accepted into health care systems. The phenolic profile of the hydroethanolic extract was determined using HPLC-DAD, and the antioxidant was evaluated using five complementary methods. Triterpenoids were isolated using column chromatography and characterized using 1H NMR and 13C NMR. The effects of the extract and the isolated compounds on quorum sensing mediated processes and biofilm formation in bacteria were evaluated. Protocatechic acid (40.76 ± 0.82 µg/g), 4-hydroxybenzoic acid (24.04 ± 0.21 µg/g), vanillic acid (29.90 ± 1.05 µg/g), quercetin (43.53 ± 1.10 µg/g), and luteolin (4.44 ± 0.48 µg/g) were identified and quantified. The extract showed good antioxidant activity in the DPPH•, ABTS•+, CUPRAC, and metal chelating assays, and this antioxidant effect was confirmed by cyclic voltammetry. 27-Hydroxymangiferonic acid (1), Ambolic acid (2), and Mangiferonic acid (3) were isolated from anti-quorum sensing activity at MIC, and it was indicated that the most active sample was the extract with inhibition diameter zone of 18.0 ± 1.0 mm, while compounds 1, 2, and 3 had inhibition zones of 12.0 ± 0.5 mm, 9.0 ± 1.0 mm, and 12.3 ± 1.0 mm, respectively. The samples inhibited the P. aeruginosa PA01 swarming motility at the three tested concentrations (50, 75, and 100 μg/mL) in a dose-dependent manner. The propolis extract was able to inhibit biofilm formation by S. aureus, E. coli, P. aeruginosa, C. albicans, and C. tropicalis at MIC concentration. Compound 1 proved biofilm inhibition on S. aureus, L. monocytogenes, E. faecalis, E. coli, and C. tropicalis at MIC and MIC/2; compound 2 inhibited the formation of biofilm at MIC on S. aureus, E. faecalis, E. coli, S. typhi, C. albicans, and C. tropicalis; and compound 3 inhibited biofilm formation on E. faecalis, E. coli, C. albicans, and C. tropicalis and further biofilm inhibition on E. coli at MIC/4 and MIC/8. The studied propolis sample showed important amounts of cycloartane-type triterpene acids, and this indicates that there can be significant intra-regional variation probably due to specific flora within the vicinity. The results indicate that propolis and its compounds can reduce virulence factors of pathogenic bacteria.