Local Influence Research Articles

Regionalization Strategy Guided Long Short‐Term Memory Model for Improving Flood Forecasting

ABSTRACTFlood forecasting in data‐scarce catchments is challenging for hydrologists. To address this issue, a regional long short‐term memory model (R‐LSTM) is proposed. Given the diverse physical characteristics of sub‐catchments, this model scalarises the runoff data based on catchment attributes including area, confluence path length, slope and minimum and maximum runoff values, thereby eliminating the local influence and producing a geomorphological‐runoff factor as the model input. To assess the effectiveness of R‐LSTMs for flood forecasting in data‐scarce basins, the Jiaodong Peninsula in China was selected as the study area. The proposed R‐LSTMs are compared with local LSTMs, regional LSTMs that do not use catchment attributes, or regional LSTMs that incorporate catchment attributes in different ways. The results show that R‐LSTMs outperform the benchmarking LSTM models, especially in the simulation of flood peaks. The study indicates the potential of regionalization and the benefit of building the scalarised inputs of runoff data for regional LSTM that consider catchment attributes meticulously. The research findings can provide a reference for flood forecasting in data‐scarce regions.

Nonequilibrium probability currents in optically-driven colloidal suspensions

In the absence of directional motion it is often hard to recognize athermal fluctuations. Probability currents provide such a measure in terms of the rate at which they enclose area in the reduced phase space. We measure this area enclosing rate for trapped colloidal particles, where only one particle is driven. By combining experiment, theory, and simulation, we single out the effect of the different time scales in the system on the measured probability currents. In this controlled experimental setup, particles interact hydrodynamically. These interactions lead to a strong spatial dependence of the probability currents and to a local influence of athermal agitation. In a multiple-particle system, we show that even when the driving acts only on one particle, probability currents occur between other, non-driven particles. This may have significant implications for the interpretation of fluctuations in biological systems containing elastic networks in addition to a suspending fluid.

Long-term dynamics of dissolved oxygen and isotopic composition in Lake Erie and Lake Ontario: Implications for eutrophication and ecosystem health

This study, focusing on Great Lakes Erie and Ontario, Canada, explores dissolved oxygen (DO) dynamics and its stable isotopic composition (δ18ODO) in the Great Lakes. Using historical dissolved oxygen data from 1965 to 2021, combined with synoptic isotopic data collected in the early 2000s, the research examined the spatiotemporal trends in DO and δ18O-DO to assess the effects of biotic and abiotic processes such as photosynthesis, respiration, and atmospheric gas exchange. The study revealed significant seasonal and depth-related variations in DO levels, with hypolimnetic hypoxia and metalimnetic oxygen minima (MOM) observed in both lakes. With its comparatively shallow depth and higher nutrient loads, Lake Erie exhibited more pronounced dissolved oxygen fluctuations, with DO levels reaching as low as 3.65 mg L−1 and δ18ODO values falling below +24.6 ‰. These findings indicated Lake Erie’s more dynamic metabolic environment, particularly during the thermally stratified season. In contrast, Lake Ontario showed more stable oxygen concentration levels, with occasional dissolved oxygen depletions down to 6.80 mg L−1 and δ18ODO values up to +32.1 ‰, suggesting more localised influences of external inputs and biological processes. This study provides a long-term perspective on dissolved oxygen status in these lakes and offers essential insights into their ecological health. This work contributes valuable data for managing and protecting the Great Lakes ecosystem.

Social and Cultural Factors Influencing Promotion of Latrine Utilization in Laisamis Sub-County, Marsabit, Kenya

The issue of sanitation has long existed and drawn criticism from figures like Mahatma Gandhi, who stated that sanitation in a community is more important than independence. Latrine utilization is among ways of ensuring that communities are safe and are not interacting with disease causing pathogens. However, the presence of latrines has not completely been a guarantee for their utilization especially among the pastoral communities. The objectives of this study was to examine the social and cultural factors influencing promotion of latrine utilization Laisamis Sub-County, Marsabit County, Kenya. A cross-sectional descriptive study was conducted in two selected Wards in Laisamis Sub-County using both qualitative and quantitative approaches. Quantitive data was collected from 177 households using questionnaires and analysed in descriptive and inferential statistics. Qualitative data was gathered from selected members from a focus group discussion. The data was analysed thematically and presented in narratives. The social factors that showed a significant influence on latrine utilization included: perceived health benefits (p=0.000<0.05), accessibility of latrines (p=0.000<0.05), respect associated with latrines ownership (p=0.05) and social norms (p=0.000<0.05). Cultural beliefs relating to defecation in enclosed places such as toilets seemed to encourage open defecation despite latrine presence. Taboos surrounding sharing of latrines for men and women and among in-laws was reported to attract latrine avoidance especially when the available toilets were not separated. It was established that cultural practices for some groups such as morans discouraged toilets utilization. The influence of cultural taboos, barriers and beliefs on latrine utilization was significant (p<0.05). The study concluded that owning a latrine in Laisamis Sub-County did not guarantee use because of the influence of social and cultural issues. The study recommended community engagement and robust education campaigns using local leaders and influencers to dispel taboos and beliefs against latrine use. Context-specific behaviour change strategies could encourage positive habits and increase utilization of latrines in the sub-county.

A Punahou moʻolelo: the creation of institutional memory and myth

ABSTRACT This paper investigates how Punahou School, a K-12 Hawaiʻi private school with tremendous local influence, has represented its history and particularly its ties to the U.S. colonization of Hawaiʻi. This account of how various actors tell, grapple with, or memorialize violent histories has implications locally for the Hawaiian sovereignty movement and broadly for questions surrounding memory and representation. I argue that Punahou has employed a two-pronged approach to representing its historical founding and articulating a school identity: first, Punahou has strategically sanitized the history of its founding to present a narrative that glorifies the missionary project and implies, or at least fails to question, the notion that the Christianization and colonization of Hawaiʻi were beneficial. Second, Punahou has incorporated – or, alternatively, appropriated – Hawaiian cultural symbolism, moʻolelo, and heritage to indigenize itself, thus deemphasizing the role the school itself has played in the erasure of those very same hallmarks of indigeneity. The impact of Punahou’s representational strategies is to erase the brutality of the missionary project and settler colonialism; normalize colonial ideas, behaviors, and histories; and grant implicit pardon to Punahou as an institution from reckoning with its violent history.

Village Government's Role in Advancing Agricultural Development Through Supportive Policies

Background: Indonesia, a tropical country with rich agricultural potential, faces challenges in optimizing its agricultural sector. Specific Background: Despite significant contributions to the economy and employment, issues like low human resource capacity and dependency on food imports hinder productivity. Knowledge Gap: The role of village governments in facilitating agricultural development, particularly in rural areas like Grabagan Village, remains underexplored. Aims: This study analyzes the village government's role in agricultural development in Grabagan Village, focusing on key success indicators. Results: Findings indicate that the village government functions effectively as a facilitator, mobilizer, and regulator, yet faces challenges in resource mobilization and farmer engagement. Novelty: This research enhances understanding of local governance's influence on agricultural outcomes. Implications: The study highlights the need for improved collaboration between the village government and farmers to optimize resource allocation and align agricultural initiatives with local needs for sustainable development. Highlights: The village government serves as a crucial facilitator in agricultural initiatives, providing necessary infrastructure and budget support. Effective mobilization of resources and farmer involvement in planning processes are essential for enhancing agricultural productivity. Addressing challenges in local governance can significantly improve sustainable agricultural development in rural areas. Keywords: Village Government, Agricultural, Farmer Empowerment, Facilitation, Mobilization

Biogeochemical cycling of trace elements and nutrients in ferruginous waters: Constraints from a deep oligotrophic ancient lake

AbstractIron‐rich, ferruginous waters were the dominant geochemical regime for most of Earth's history. Modern ferruginous waters are found in stratified, sulfur‐poor lakes, and serve as crucial analogs for biogeochemical cycling throughout Earth's past. Here we present the first depth‐resolved data of physical structure, nutrients and trace elements from Lake Poso (Indonesia), a deep oligotrophic ancient lake. Lake Poso is ferruginous, with anoxia below ~ 90 m depth, placing it among the world's largest ferruginous lakes. Physical stratification is weaker than other tropical anoxic lakes, indicating sensitivity for paleoclimate reconstructions. Trace elements and nutrients are predominantly shaped by the oxic–anoxic transition. Manganese– and Fe oxyhydroxide–driven biogeochemical cycling occurs at distinct depth horizons, with Co and Ni controlled by Mn and showing shallow release in anoxic waters, while V, Cr, P, and As are controlled by Fe, with release in surface sediments and diffusive transport. Chromium is nonquantitatively removed in anoxic waters, in contrast to widespread assumptions in Cr‐based paleoreconstructions. Oxycline U and Se removal corresponds to a local N minimum, suggesting biological reduction and/or uptake. These first ferruginous water Se data also show removal in sediments, indicating sediment signals reflect multiple removal processes and informing Se‐based paleoreconstructions, while the absence of sediment U removal contrasts other anoxic basins. A comparison with other ferruginous lakes demonstrates how local influences drive deviations from expectations in other systems, and highlight common, generalizable ferruginous basin features. Therefore, these data will guide research in ferruginous settings across space and time, and improve paleoreconstructions from ferruginous sediment records.

Influence of carrier localization on photoluminescence emission from sub-monolayer quantum dot layers

We have investigated the origins of photoluminescence from quantum dot (QD) layers prepared by alternating depositions of sub-monolayers and a few monolayers of size-mismatched species, termed as sub-monolayer (SML) epitaxy, in comparison with their Stranski–Krastanov (SK) QD counterparts. Using measured nanostructure sizes and local In-compositions from local-electrode atom probe tomography as input into self-consistent Schrödinger–Poisson simulations, we compute the 3D confinement energies, probability densities, and photoluminescence (PL) spectra for both InAs/GaAs SML- and SK-QD layers. A comparison of the computed and measured PL spectra suggests one-dimensional electron confinement, with significant 3D hole localization in the SML-QD layers that contribute to their enhanced PL efficiency in comparison to their SK-QD counterparts.

Exploring Cesarean Section Delivery Patterns in South India: A Bayesian Multilevel and Geospatial analysis of Population-Based Cross-Sectional Data

BackgroundThis paper focuses on the period from 2019 to 2021 and investigates the factors associated with the high prevalence of C-section deliveries in South India. We also examine the nuanced patterns, socio-demographic associations, and spatial dynamics underlying C-section choices in this region. A cross-sectional study was conducted using large nationally representative survey data.MethodsNational Family Health Survey data (NFHS) from 2019 to 2021 have been used for the analysis. Bayesian Multilevel and Geospatial Analysis have been used as statistical methods.ResultsOur analysis reveals significant regional disparities in C-section utilization, indicating potential gaps in healthcare access and socio-economic influences. Maternal age at childbirth, educational attainment, healthcare facility type size of child at birth and ever pregnancy termination are identified as key determinants of method of C-section decisions. Wealth index and urban residence also play pivotal roles, reflecting financial considerations and access to healthcare resources. Bayesian multilevel analysis highlights the need for tailored interventions that consider individual household, primary sampling unit (PSU) and district-level factors. Additionally, spatial analysis identifies regions with varying C-section rates, allowing policymakers to develop targeted strategies to optimize maternal and neonatal health outcomes and address healthcare disparities. Spatial autocorrelation and hotspot analysis further elucidate localized influences and clustering patterns.ConclusionIn conclusion, this research underscores the complexity of C-section choices and calls for evidence-based policies and interventions that promote equitable access to quality maternal care in South India. Stakeholders must recognize the multifaceted nature of healthcare decisions and work collaboratively to ensure more balanced and effective healthcare practices in the region.

Les ambiances au sein des equipements touristiques de la ville coloniale de Biskra (Est Algerien)

Conquered by the French army in 1844, Biskra was widely known as a notorious winter tourist destination during the colonial era. Characterized by a hot and dry climate, the ‘queen of the oases’ in the Ziban region was renowned for its numerous tourist facilities constructed using techniques imported from elsewhere, local materials, and apparent local stylistic influences. This distinguished architecture was notably mentioned in travel accounts and highlighted in tourist guides. Situated in the realm of heritage and architecture, this research aims to go beyond the knowledge of the built (material) heritage of hotels and thermal resorts in a southern Algerian city. Therefore, this article identifies and defines the atmospheres (intangible heritage) and architectural components, along with their origins, within the tourist facilities built in Biskra during the colonial period. Content analysis is the research technique applied to a corpus of textual sources dating from the colonial period itself. Thus, this work is conducted in accordance with a methodological protocol allocating the study of atmospheres, form, and construction. The acquired results shed light on a historical mode of construction adapted to a challenging natural environment, and they provide a valuable historical reference for contemporary tourism projects suitable for demanding contexts.

The hidden crowding out effect: How does local government implicit debt pressure influence enterprise productivity in China?

AbstractTo explore whether and how local government implicit debts pressure (LGIDP) affects the firm performance, this paper bases on the 2012–2018 listed enterprise data and local government financing vehicles (LGFVs) data to empirically test the impact of LGIDP on the total factor productivity (TFP) of non‐local government financing vehicles (N‐LGFVs). The results show that LGIDP significantly reduced the TFP of N‐LGFVs by transferring fiscal resources, enhancing tax collection, and transferring credit resources. But this distorting effect of LGIDP on the TFP of N‐LGFVs only exists in non‐state‐owned enterprises, small‐scale enterprises, and young enterprises. Our paper has an important policy recommendation that regulating LGFVs and alleviating LGIDP are of great significance for China to achieve sustained economic growth.

Genomic compliance with Chargaff’s second parity rule may have originated non-adaptively, but stem-loops now function adaptively

Of Chargaff’s four rules on DNA base quantity, his second parity rule (PR-2) is the most contentious. Various biometricians (e.g., Sueoka, Lobry) regarded PR-2 compliance as a non-adaptive feature of modern genomes that could be modeled through interrelations among mutation rates. However, PR-2 compliance with stem-loop potential was considered adaptively relevant by biochemists familiar with analyses of nucleic acid structure (e.g., of Crick) and of meiotic recombination (e.g., of Kleckner). Meanwhile, other biometricians had shown that PR-2 complementarity extended beyond individual bases (1-mers) to oligonucleotides (k-mers), possibly reflecting “advantageous DNA structure” (Nussinov). An “introns early” hypothesis (Reanney, Forsdyke) had suggested a primordial nucleic acid world with recombination-mediated error-correction requiring genome-wide stem-loop potential to have evolved prior to localized intrusions of protein-encoding potential (exons). Thus, a primordial genome was equivalent to one long intron. Indeed, when assessed as the base order-dependent component (correcting for local influences of GC%), modern genes, especially when evolving rapidly under positive Darwinian selection, display high intronic stem-loop potential. This suggests forced migration from neighboring exons by competing protein-encoding potential. PR-2 compliance may have first arisen non-adaptively. Primary prototypic structures were later strengthened by their adaptive contribution to recombination. Thus, contentious views may actually be in harmony.

Diagnostic analystics in the Bayesian vector autoregressive model

The vector autoregressive model is extensively employed in macroeconomics, finance, and the natural sciences. However, it often encounters the issue of over-parametrization, resulting in undesirable behavior within the model. In this paper, we utilize the Bayesian vector autoregressive model as a tool to tackle this problem. Additionally, we employ the Bayesian local influence method to detect possible extreme observations under the model. We use posterior inference to estimate related parameters and construct Bayesian perturbation schemes for priors, variance, and data perturbations. Bayesian local influence is conducted based on three objective functions: Bayes factor, ϕ divergence, and posterior mean. To demonstrate the effectiveness of the diagnostics, we conduct numerical simulations. In the real data example, we use US inflation, unemployment, and interest rate data to verify this method's effectiveness.

Peran Media Sosial dalam Mengedukasi Masyarakat Tentang Zakat: Studi Kasus Basnaz SUMUT

This research aims to investigate the role of social media in educating and disseminating information to the public about zakat, by taking the North Sumatra National Zakat Amil Agency (BASNAZ) case study. As the institution responsible for collecting and distributing zakat in the region, BASNAZ has an important role in increasing public awareness and understanding of zakat. Social media has become an important communication channel for BASNAZ to reach a wider audience and strengthen community participation in zakat activities. This research method involves a qualitative approach, by collecting data through interviews with North Sumatra BASNAZ management, observation of their social media content, and analysis of related documents. The data was then analyzed thematically to identify the strategies and best practices used by BASNAZ in using social media for educational purposes about zakat. The research results show that social media has become an effective instrument for BASNAZ North Sumatra in educating the public about zakat. Through platforms such as Facebook, Instagram and Twitter, BASNAZ can convey relevant information about zakat obligations, lessons learned, as well as how to manage and distribute zakat in a way that is easy for the public to understand. In addition, the two-way interaction between BASNAZ and social media users allows for a deeper dialogue on zakat-related issues. However, challenges also arise, including problems with the authenticity of information, limited accessibility for people who do not have internet access, and competition with other content on social media. Therefore, this research also identifies several recommendations to increase the effectiveness of the use of social media in educating the public about zakat, including increasing collaboration with local influencers, developing engaging content, and increasing the use of text-based platforms to reach underserved communities online. The findings of this research have practical implications for BASNAZ and similar organizations in improving their communication strategies through social media, as well as for researchers and practitioners in the fields of marketing communications and zakat education. Apart from that, this research also contributes to the understanding of the role of social media in supporting philanthropic and charitable activities in the digital era.

Perception of Public Relations Officers of Government Public Relations Approaches towards the Acceptability of COVID-19 Vaccination in Taraba State, Nigeria

This study on perception of public relations officers on government public relations approaches towards the acceptability of Covid 19 vaccination in Taraba State, Nigeria sought to identify the public relations approaches adopted by government in the campaign for COVID-19 vaccine, examine public relations experts perception of the impact of public relations approaches in the campaign for COVID-19 vaccine in Taraba State, Nigeria and to find out the specific challenges faced by the public relations experts in the campaign for COVID-19 vaccine in Taraba State, Nigeria. The study employed the survey method of research design with a population of 158 and a sample. Using purposive sampling method, questionnaires was administered on a sample size of 103 respondents within the study area to elicit primary data. Findings of the study revealed that the government in Taraba State has implemented a diverse range of public relations (PR) strategies to promote the Covid-19 vaccine campaign. The study also found that public relations experts generally perceive the government's PR approaches positively. Furthermore, the study revealed that despite the overall positive perception of the PR efforts, several challenges persist such as vaccine hesitancy, limited access to reliable information sources and insufficient resources and funding key hurdles faced. The study concluded that the government's adoption of diverse PR strategies, including communication campaigns, media relations efforts, and collaboration with healthcare providers, demonstrates a proactive effort to engage with the public and address concerns. Finally, the study among others recommended that community engagement through grassroots initiatives, involving local influencers, community leaders, and healthcare providers and advocate for increased resources and funding to support comprehensive PR campaigns should be enhanced.

Impact of the Tibetan Plateau on Global High-Frequency Temperature Variability

Abstract The Tibetan Plateau’s (TP) topography has long been recognized for its impact on climate. However, recognition of the influence of the TP on global weather variability remains insufficient. Therefore, this study used numerical simulations to demonstrate the influences of the TP and its mechanical and thermal forcing on global high-frequency temperature variability and eddy kinetic energy (EKE). Despite local influences, the TP influenced the high-frequency temperature variability in far-flung regions like North America. In summer, the TP’s influence on high-frequency temperature variability showed dipole patterns in Eurasia and tripole patterns in North America, which were mainly induced by TP thermal forcing. In winter, the TP’s influence on high-frequency temperature variability was dominated by mechanical forcing and was less significant for remote regions than in summer. Mechanical forcing dominated EKE in both summer and winter. Furthermore, the horizontal temperature advection dominated the TP’s influence on high-frequency temperature variability for both its thermal effect in summer and its mechanical effect in winter, wherein EKE, as the dynamical factor, determined the horizontal temperature advection rather than the thermodynamical factor, the temperature gradient. Our findings suggest that the TP, via its mechanical and thermal forcing, may have an impact on temperature-related weather extremes around the world. Significance Statement The Tibetan Plateau (TP), being one of the world’s largest topographies, has been demonstrated to influence both paleoclimatic evolution and contemporary climate variability. However, the effect of TP on global weather variability has not been thoroughly studied. Therefore, this study looked into the effect of the TP on global high-frequency temperature variability. The TP’s overall, mechanical, and thermal effects on high-frequency temperature variability and EKE were specifically demonstrated. To get insights into dynamics, the physical processes underpinning the TP’s influence on high-frequency temperature variability were further clarified. This study contributes to a better understanding of the effects of large-scale topography on global high-frequency temperature variations, as well as relevant weather extremes.

Heterogeneous corrosion of carbon steel used for casing in deep geological radioactive waste repository in contact with claystone

The corrosion of C-steel in contact with the Cox claystone was studied under aerated conditions at 50°C, for 7 years, in a simplified laboratory experiment. A multi-scale and multi-technique approach, including SEM-EDX, Raman spectroscopy and STXM, was used to determine the nature and structure of the corrosion products and to better understand the mechanisms involved in the observed degradation. The effects of temperature, oxygen supply and the local influence of the composition and density of the claystone were examined here.

Intelligent analysis method for the global vertical displacement field of foundation pits in dense karst cave areas

Prior research on excavation in dense karst cave foundation pits has primarily concentrated on evaluating the localized spatio-temporal influence and isolated geological factors. Nonetheless, this approach oversimplifies modeling conditions, thereby limiting its ability to provide a comprehensive understanding of the vertical displacement field. Consequently, this oversimplification can inflate the safety factor and increase project costs. Therefore, we propose a feedforward neural network (FNN), updated with the loop nested optimal iterative method (LNOIM), which incorporates the spatiotemporal characteristics of monitoring points and geological factors to analyze the engineering sensitivity of karst caves. Ultimately, the global foundation pit vertical displacement field was obtained. Our method has been demonstrated to be effective in a foundation pit in South China ((P value) P > 0.050, Cohen's d < 0.200). Furthermore, it has been validated in other cases ((Root Mean Square Error) RMSE = 1.576–2.916). This work provides a new perspective on the accurate reflection of the global vertical displacement state of a foundation pit. Additionally, it enhances the ability to sensitively identify caves in dense karst cave areas, thereby improving the safety of foundation pit works.

Hybridity and Paradox: The Cultural Bridge of Gen Z (A Critical Multimodal Discourse Analysis on the X Account @Aniesbubble)

Social media, such as Twitter, enable immediate and delayed interaction with a wide audience. Online personas of political figures, such as the X account @aniesbubble, are in the spotlight in the 2024 election campaign, especially in attracting the attention of potential young voters in Indonesia. This research aims to ana-lyze the critical multimodal discourse on X @aniesbubble account in the context of the 2024 election political campaign. The main focus is to understand how multimodal ele-ments are used to shape opinions and interactions with audiences, as well as the implica-tions of using this strategy in cultural and political contexts. This research uses a qualita-tive method with a multimodal critical discourse analysis approach. The main data was taken from the X @aniesbubble account in the time period before the general election until the determination of the election winner. The analysis was conducted based on Norman Fairclough's theory, which includes three levels of analysis: text, discursive practice and social praxis. Additional data was obtained from relevant books, news articles, and journal articles. The research found that the @aniesbubble X account succeeded in creating an authentic and attractive political persona for the younger generation through the use of glocalization and cultural hybridity strategies. The account also demonstrates the dynamic interaction between global and local influences, and is able to convert social capital into economic capital through the active participation of fans. The findings suggest that social media plays an important role in shaping political and cultural narratives.

Therapeutic delivery of CCL2 modulates immune response and restores host-microbe homeostasis.

Many chronic inflammatory diseases are attributed to disturbances in host-microbe interactions, which drive immune-mediated tissue damage. Depending on the anatomic setting, a chronic inflammatory disease can exert unique local and systemic influences, which provide an exceptional opportunity for understanding disease mechanism and testing therapeutic interventions. The oral cavity is an easily accessible environment that allows for protective interventions aiming at modulating the immune response to control disease processes driven by a breakdown of host-microbe homeostasis. Periodontal disease (PD) is a prevalent condition in which quantitative and qualitative changes of the oral microbiota (dysbiosis) trigger nonresolving chronic inflammation, progressive bone loss, and ultimately tooth loss. Here, we demonstrate the therapeutic benefit of local sustained delivery of the myeloid-recruiting chemokine (C-C motif) ligand 2 (CCL2) in murine ligature-induced PD using clinically relevant models as a preventive, interventional, or reparative therapy. Local delivery of CCL2 into the periodontium inhibited bone loss and accelerated bone gain that could be ascribed to reduced osteoclasts numbers. CCL2 treatment up-regulated M2-macrophage and downregulated proinflammatory and pro-osteoclastic markers. Furthermore, single-cell ribonucleic acid (RNA) sequencing indicated that CCL2 therapy reversed disease-associated transcriptomic profiles of murine gingival macrophages via inhibiting the triggering receptor expressed on myeloid cells-1 (TREM-1) signaling in classically activated macrophages and inducing protein kinase A (PKA) signaling in infiltrating macrophages. Finally, 16S ribosomal ribonucleic acid (rRNA) sequencing showed mitigation of microbial dysbiosis in the periodontium that correlated with a reduction in microbial load in CCL2-treated mice. This study reveals a novel protective effect of CCL2 local delivery in PD as a model for chronic inflammatory diseases caused by a disturbance in host-microbe homeostasis.