Increase In Population Size Research Articles

Discrete-Time Model of an Exploited Population with Age and Sex Structures: Instability and the Hydra Effect

This study proposes a discrete-time mathematical model to investigate the impact of selective harvesting on the dynamics of a population with age and sex structures. The model assumes that the birth rate depends on the sex ratio of the population and the number of breeding pairs. The growth rate is regulated by limiting juvenile survival, where an increase in population size decreases the survival of immature individuals. We consider the following selective proportional exploitation: harvesting of juveniles and harvesting of mature males. Depending on the values of population parameters, selective harvesting can lead to the stabilization of population dynamics by dampening oscillations or the emergence and amplification of fluctuations in population size. The model reveals multistability domains in which different dynamic modes coexist, and variations in initial conditions can lead to changes in dynamic modes. Depending on the values of the population parameters, the proposed models with harvest reveal the hydra effect, indicating an increase in the equilibrium abundance of the exploited group after reproduction but before harvesting, with an increase in the harvesting rate. Selective harvesting, resulting in the hydra effect, increases the remaining population size due to reproduction and the number of harvested individuals.

Whole genome sequencing reveals stepping-stone dispersal buffered against founder effects in a range expanding seabird.

Many species are shifting their ranges in response to climate-driven environmental changes, particularly in high-latitude regions. However, the patterns of dispersal and colonization during range shifting events are not always clear. Understanding how populations are connected through space and time can reveal how species navigate a changing environment. Here, we present a fine-scale population genomics study of gentoo penguins (Pygoscelis papua), a presumed site-faithful colonial nesting species that has increased in population size and expanded its range south along the Western Antarctic Peninsula. Using whole genome sequencing, we analysed 129 gentoo penguin individuals across 12 colonies located at or near the southern range edge. Through a detailed examination of fine-scale population structure, admixture, and population divergence, we inferred that gentoo penguins historically dispersed rapidly in a stepping-stone pattern from the South Shetland Islands leading to the colonization of Anvers Island, and then the adjacent mainland Western Antarctica Peninsula. Recent southward expansion along the Western Antarctic Peninsula also followed a stepping-stone dispersal pattern coupled with limited post-divergence gene flow from colonies on Anvers Island. Genetic diversity appeared to be maintained across colonies during the historical dispersal process, and range-edge populations are still growing. This suggests large numbers of migrants may provide a buffer against founder effects at the beginning of colonization events to maintain genetic diversity similar to that of the source populations before migration ceases post-divergence. These results coupled with a continued increase in effective population size since approximately 500-800 years ago distinguish gentoo penguins as a robust species that is highly adaptable and resilient to changing climate.

Harem size should be measured by more than the sum of its parts: Phenology-based measurements reveal joint effects of intrinsic and extrinsic factors on a polygamous herbivore under non-stationary climatic conditions.

Social behaviour is thought to be a major component of survival, reproduction, and resilience of populations. Thus, it is a key component in management and conservation of wild populations. In polygynous breeding species, group size influences the reproductive success of males and females, and hence it is essential to understand the environmental and demographic factors that shape the phenology of group size within populations. Here, we investigate harem size and its determinants using a 15-year dataset of annual harem size phenology-based metrics from a reintroduced population of wild Przewalski horses in Hortobágy National Park, Hungary. From the initial reintroduction of 21 animals in 1997, the population grew to 174 animals in 2012. During that same period, the number of harems increased from three to 23. Despite the 8-fold increase in population size, harem sizes remained stable, and variability among harems within years decreased. The annual phenological cycle of harem size was not consistent over the 15-year period, and the associated annual phenology-based metrics varied differently over the years. The best predictors of our phenology-based harem size metrics were adult sex ratio, annual adult mortality and annual mean number of harems, with some evidence that mean age of harem stallions and drought severity were contributing factors. Our findings reveal that complex interactions between demography, climate, and harem size can emerge in social animals. Taken together, our results demonstrate that intrinsic population processes can regulate group size even in the presence of non-stationary climatic conditions during periods of growth in human-introduced, semi-free ranging animal populations.

The influence of climate oscillations and geological events on population differentiation of Camponotus japonicus in the Chinese mainland.

Camponotus japonicus (Hymenoptera: Formicidae) is an omnivorous social insect which builds sizable colonies in sparse woodlands or cropland and spreads across multiple climatic zones in the Chinese mainland. This study aims to reveal the role of climate changes and geological events in driving the genetic structure of social insect populations by investigating the phylogenetics and historical demography of C. japonicus in the Chinese mainland. Phylogenetic analyses were conducted based on the mitochondria DNA dataset using MrBayes and IQ-TREE. We constructed a haplotype network, calculated analyses of molecular variance, estimated the divergence time, and reconstructed the maximum clade credibility tree. Mismatch distribution and Bayesian skyline plots were used to infer historical population fluctuations. Additionally, ecological niche modeling was employed to predict the potential distribution of the species during the present, mid-holocene, and last glacial maximum periods in the Chinese mainland. The phylogenetic tree and median-joining network analyses support the presence of four distinct lineages in C. japonicus. These lineages exhibit significant genetic differentiation and limited gene flow. The divergence among the four lineages began in the early Pleistocene, approximately 1.41 million years ago (Ma). Subsequently, the central lineage diverged from both the northern and southern lineages around 1.16 Ma, while the northern and southern lineages diverged from each other at approximately 1.07 Ma. Population expansion was observed in the southern, central, and northern lineages prior to the last glacial maximum, while the Yunnan-Sichuan lineage experienced a slight increase in population size in more recent times. The predicted distribution of the species corresponds well with the actual distribution. Furthermore, the current suitable habitat areas in northern Xinjiang, southern Tibet, and the southeast coastal regions have significantly decreased compared to the last glacial maximum and the mid-holocene periods. Our results suggest that climate oscillations and geological events play an important role in driving genetic patterns and differentiation of C. japonicus. Mountain barriers isolate populations from each other, hinder the flow of genes, and effectively prevent the spread of this species. But at the same time, it also formed refugia at low altitudes areas such as Qinling-Bashan Mountains and Yanshan-Taihang Mountains and provide suitable habitats during glaciation. This study provides a good model for understanding how complex climate changes and geological events affect population genetic differentiation of social insects in the Chinese mainland.

Transcending borders: Remarkable genetic homogeneity among Barred mudskipper (Periophthalmus argentilineatus) populations in the southwestern Indian Ocean

AbstractIn the past 24 years, the Southwestern Indian Ocean (SWIO) region has lost about 4% of its mangroves due to unsustainable extraction, land clearance for agriculture and climate change impacts. Since this loss risks fragmenting mangrove fauna, this study analysed 179 D‐loop sequences (329 base pairs) of Barred mudskipper (Periophthalmus argentilineatus) sampled from estuarine mangroves in the SWIO to test two hypotheses: (1) whether Barred mudskipper populations in the region display genetic connectivity along the fragmented mangroves and (2) whether these populations have experienced demographic declines in recent history. The populations showed low and insignificant indices of genetic differentiation (FST = −0.00068, p > 0.05; ΦST = 0.005, p > 0.05), and haplotypes from different localities did not cluster according to their geographical origins. Similarly, Bayesian phylogenetic analysis grouped all SWIO haplotypes into one cluster, suggesting the hypothesis of genetic interconnectedness could not be rejected. Furthermore, the populations showed high haplotype diversity (0.96 ± 0.007) combined with low nucleotide diversity (1.09 ± 0.61%). They also showed significant negative Tajima's D values (−1.71, p < 0.02) and a unimodal mismatch distribution, indicating the hypothesis of demographic expansion post a historical bottleneck could not be rejected. Nevertheless, the Bayesian skyline plot indicated an increase in population size post‐bottleneck, suggesting an ongoing recovery. These findings indicate that, despite varying management approaches in the SWIO, Barred mudskipper populations exhibit genetic exchange that transcends geographical and administrative borders. This implies that their populations should be considered a single stock within the region. These findings underscore the need for coordinated management approaches among the SWIO countries. This is crucial because inconsistencies in conservation measures across borders could disrupt the population's interconnectedness, potentially impacting their genetic integrity and long‐term survival.

Updated Insights into the Phylogenetics, Phylodynamics, and Genetic Diversity of Nipah Virus (NiV).

Nipah virus (NiV), a biosafety level 4 agent, was first identified in human clinical cases during an outbreak in 1998 in Malaysia and Singapore. While flying foxes are the primary host and viral vector, the infection is associated with a severe clinical presentation in humans, resulting in a high mortality rate. Therefore, NiV is considered a virus with an elevated epidemic potential which is further underscored by its recent emergence (September 2023) as an outbreak in India. Given the situation, it is paramount to understand the molecular dynamics of the virus to shed more light on its evolution and prevent potential future outbreaks. In this study, we conducted Bayesian phylogenetic analysis on all available NiV complete genomes, including partial N-gene NiV sequences (≥1000 bp) in public databases since the first human case, registered in 1998. We observed the distribution of genomes into three main clades corresponding to the genotypes Malaysia, Bangladesh and India, with the Malaysian clade being the oldest in evolutionary terms. The Bayesian skyline plot showed a recent increase in the viral population size since 2019. Protein analysis showed the presence of specific protein families (Hendra_C) in bats that might keep the infection in an asymptomatic state in bats, which also serve as viral vectors. Our results further indicate a shortage of complete NiV genomes, which would be instrumental in gaining a better understanding of NiV's molecular evolution and preventing future outbreaks. Our investigation also underscores the critical need to strengthen genomic surveillance based on complete NiV genomes that will aid thorough genetic characterization of the circulating NiV strains and the phylogenetic relationships between the henipaviruses. This approach will better prepare us to tackle the challenges posed by the NiV virus and other emerging viruses.

Hybrid de novo genome assembly of the sexually dimorphic Lady Amherst's pheasant.

Pheasants are an important group of birds, valued for their economic benefit as poultry birds, game birds, and as ornamental species for their plumage. Lady Amherst's pheasant Chrysolophus amherstiae is an ornamental species, valued for its elaborate and beautiful plumage. In this study, we present a high-quality de novo hybrid genome assembly of C. amherstiae. Previous attempts to sequence the genome of this species resulted in draft-level assemblies, which are not available in the public domain. Using a combination of Illumina short reads and Oxford Nanopore's long-reads, we assembled a high-quality genome of N50 ~3.9Mb and near complete BUSCO assessment. We observed a correlation between effective population size and past climatic conditions, with an increase in population size during the warm interglacial periods. We further observed significant fluctuations in genes involved with the immune system and visual perception. C. amherstiae is a highly dimorphic species, and significant fluctuations in gene families involved in immune response, visual perception, among others, suggesting a role of mate choice and sexual selection in the evolution and maintenance of exaggerated traits in the males.

More management, less damage? With increasing population size, economic costs of managing geese to minimize yield losses may outweigh benefits

Conflicts between farmers and geese are intensifying; yet, it remains unclear how interactions between goose population size and management regimes affect yield loss and economic costs. We investigate the cost-effectiveness of accommodation and scaring areas in relation to barnacle goose (Branta leucopsis) population size. We use an existing individual-based model of barnacle geese foraging in nature, accommodation, and scaring areas in Friesland, the Netherlands, to study the most cost-effective management under varying population sizes (i.e., between 20 and 200% of the current size). Our study shows that population size non-linearly affects yield loss costs and total costs per goose. The most cost-effective management scenario for intermediate to large populations is to avoid scaring of geese. For small populations, intensive scaring resulted in minimized yield loss costs and total costs, but also substantially lower goose body mass. Our results strongly suggest that scaring becomes a less effective management measure as goose populations increase.

Demographic change effect on ecological footprint: A tripartite study of urbanization, aging population, and environmental mitigation technology

This study examines the impact of disaggregated demographic changes on Russia's sustainable environment improvement and management. With expanded energy resources, high urbanization levels, accelerated industrialization, and tourism growth, Russia has become one of the world's most dynamic economies. Urbanization has accelerated deforestation in Russia and contributed to numerous environmental challenges. Urbanization explains demographic changes in the cities with respect to the increase in population sizes and structures due to rural-urban migration. On this note, this study adopts a population-environment-technology and development model to examine the sustainable environment of Russia. The model is extended to include environmental mitigation technology and financial development to buttress how to decarburise Russia's economy and environment and believes technological innovation and financial facilities via financial inclusion may help reduce environmental stress. Russia's data from 2000 to 2021 with different scientific approaches such as FMOLS, DOLS, CCR, and ARDL are employed to investigate the robust outcomes. Under the basic model, real income, urbanization, FDI and the rule of law significantly contribute to environmental damage. However, environmental mitigation technology (EMT) and financial inclusion perform well to mitigate environmental degradation. Due to the surprising role of EMT, this study also investigates EMT's mediating role on RI, urbanization and foreign direct investment. Consequently, the mediating role significantly contributes to the Russian economy's sustainability. In an extended form, other demographic features (population+15 and population+65) proved detrimental to the environmental development of Russia when analyzed with FMOLS. This is not far from the active engagement of the population in the bracket of the working population on the economic performance and the dependency ratio of the old population on the active and young population for survival. However, this study also employs the granger causality test, IPR and variance decomposition analysis for further validation. Following the outcomes, this study suggests some imperative implications to attain the desired sustainable level.

Evolution of waterborne diseases: A case study of Khyber Pakhtunkhwa, Pakistan.

In Pakistan, the degradation of drinking water quality is exacerbated by the increasing population size and rapid industrialization. Contaminated water serves as the predominant source of numerous diseases, including diarrhea, gastroenteritis, and typhoid. This article explores the evolution of waterborne diseases across 21 districts of the Khyber Pakhtunkhwa province in Pakistan by monitoring changes in the clustering solutions. The data employed in this study were sourced from 21 districts of KP by the Director-General Health Services. Cluster analysis was utilized to uncover patterns in waterborne disease incidence, while principal component analysis was employed to reveal underlying patterns and reduce dimensionality. Additionally, the MONItoring Clusters (MONIC) framework was applied for change detection, facilitating the identification of significant shifts in disease patterns over time and aiding in the understanding of temporal dynamics. Our analysis indicates that two clusters survived consistently over time, while other clusters exhibited inconsistency. Profiling of the surviving clusters (C12 → C24 → C32 → C43) suggests a gradual increase in cases of bloody diarrhea in the Swat Valley, Hangu, Karak, and Lakki Marwat regions. Similarly, profiling of the surviving clusters (⊙→ C22 → C34 → C44) suggests an increase in the acute watery diarrhea (non-cholera) and typhoid fever in the regions of Peshawar, Nowshera, and Swabi. The findings of this study hold significant importance as they pinpoint the most vulnerable regions for various waterborne diseases. These insights offer valuable guidance to policymakers and health officials, empowering them to implement effective measures for controlling waterborne diseases in the respective regions of Khyber Pakhtunkhwa, Pakistan.

Understanding the Impact of Demographic Factors and Education Policy on Enrollment Trends: A Study in China

This study addresses the complex interplay between demographic factors and educational enrollment trends in China, with a focus on understanding how population dynamics and education policies influence enrollment patterns. Utilizing a cross-sectional design and time series data from 2010 to 2020, the research examines the effects of population size, structure, distribution, and birth rate on enrollment trends, moderated by education policy assessments. The findings reveal significant correlations between demographic factors and enrollment trends. Specifically, as population size increases, enrollment tends to decrease, while decreasing birth rates are associated with increased enrollment. Urban areas show higher enrollment rates compared to rural areas, reflecting disparities in access to educational resources. However, the study finds mixed evidence regarding the influence of population average age on enrollment trends. Moreover, the research investigates the moderating effect of education policy assessments on demographic factors. While education policies have a positive moderation effect on population size and birth rate, the study suggests limited impact on the relationship between population average age and enrollment trends. This study provides valuable insights for educational planning and policy development, emphasizing the need for strategic adjustments to accommodate changing population dynamics and ensure continued access to quality education. Additionally, the predictive model developed in this study offers a practical tool for understanding enrollment patterns and guiding policy decisions in the educational sector. However, the study acknowledges limitations related to generalizability and the complexity of external factors influencing enrollment trends, highlighting avenues for future research to enhance the predictive model and deepen understanding of enrollment dynamics.

The Exact Stochastic Process of the Haploid Multi-Allelic Wright-Fisher Mutation Model.

Diffusion models are widely applied in population genetics, but their approximate solutions may not accurately capture the exact stochastic process. Nevertheless, this practice was necessary due to computing limitations, particularly for large populations. In this article, we develop the exact Markov chain algebra (MCA) for a discrete haploid multi-allelic Wright-Fisher model (MA-WFM) with a full mutation matrix to address this challenge. A special case of nonzero mutations between multiple alleles have not been captured by previous bi-allelic models. We formulated the mean allele frequencies for asymptotic equilibrium analytically for the tri- and quad-allelic case. We also evaluated the exact time-dependent Markov model numerically, presenting it concisely in terms of diffusion variables. The convergence with increasing population size to a diffusion limit is demonstrated for the population composition distribution. Our model shows that there will never be exact irreversible extinction when there are nonzero mutation rates into each allele and never be an exact irreversible fixation when there are nonzero mutation rates out of each allele. We only present results where there is no complete extinction and no complete fixation. Finally, we present detailed computations for the full Markov process, exposing the behavior near the boundaries for the compositional domains, which are non-singular boundaries according to diffusion theory.

Analysis of factors associated with admission to the intensive care unit of children and adolescents with COVID-19: application of a multilevel model.

To identify factors associated with hospitalization in the intensive care unit in children and adolescents with COVID-19. This was a retrospective cohort study using secondary data of hospitalized children and adolescents (zero to 18 years old) with COVID-19 reported in Paraíba from April 2020 to July 2021, totaling 486 records. Descriptive analysis, logistic regression and multilevel regression were performed, utilizing a significance level of 5%. According to logistic regression without hierarchical levels, there was an increased chance of admission to the intensive care unit for male patients (OR = 1.98; 95%CI 1.18 - 3.32), patients with respiratory distress (OR = 2.43; 95%CI 1.29 - 4.56), patients with dyspnea (OR = 3.57; 95%CI 1.77 - 7.18) and patients living in large cities (OR = 2.70; 95%CI 1.07 - 6.77). The likelihood of requiring intensive care was observed to decrease with increasing age (OR = 0.94; 95%CI = 0.90 - 0.97), the presence of cough (OR = 0.32; 95%CI 0.18 - 0.59) or fever (OR = 0.42; 95%CI 0.23 - 0.74) and increasing Gini index (OR = 0.003; 95%CI 0.000 - 0.243). According to the multilevel analysis, the odds of admission to the intensive care unit increased in male patients (OR = 1.70; 95%CI = 1.68-1.71) and with increasing population size of the municipality per 100,000 inhabitants (OR = 1.01; 95%CI 1.01-1.03); additionally, the odds of admission to the intensive care unit decreased for mixed-race versus non-brown-skinned patients (OR = 0.981; 95%CI 0.97 - 0.99) and increasing Gini index (OR = 0.02; 95%CI 0.02 - 0.02). The effects of patient characteristics and social context on the need for intensive care in children and adolescents with SARS-CoV-2 infection were better estimated with the inclusion of a multilevel regression model.

Stability Analysis of Fixed Points in Forest Biomass Depletion Model

The main focus of this article is to present a model that explains the depletion in forest biomass due to population size , population pressure , and industrialization . This research explores the complex relationship between forest biomass, population growth, and industrialization. The model generates four fixed points that are all non-negative, and they are known as and . The article proceeds to analyze the stability of these fixed points in the context of forest biomass depletion. It is discovered that the fixed points and are saddle points and not stable, while the fixed point is stable if it meets certain conditions. The article concludes by carrying out numerical simulations to determine the equilibrium point of the model, which shows that forest resource biomass stability declines as population size, population pressure, and industrialization increase. The simulations reveal that population growth results in a depletion in forest resource biomass, while the opposite is true for the positive impact that forest resource biomass on population levels. Consequently, it is essential to regulate population density and industrialization to manage population growth and protect forest resources.

IMPLEMENTASI GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION PADA LAJU PERTUMBUHAN PENDUDUK DI BOJONEGORO

Population Growth Rate is the rate at which influencing factors increase and decrease population size. The development of large populations in regional governments causes uncontrolled population growth rates. The population growth rate in Bojonegoro Regency from 2019 to 2020 experienced a significant increase of 0.96%. The increase in population has an impact on the emergence of various problems in the economic and social fields. This problem requires effective and comprehensive spatial modeling, namely Geographically Weighted Logistic Regression (GWLR) with Fixed Gaussian and Adaptive Gaussian weighting. GWLR modeling aims to determine the implementation of knowledge and insight into the factors that influence the rate of population growth in each area of ​​Bojonegoro District. based on the results of GWLR modeling with the Akaike Index Criteria (AIC) on the Fixed Gaussian kernel function of 33.91. This value identifies that the population growth rate modeling in each sub-district has different values. This difference can be seen from 6 sub-districts which are significantly influenced by the number of births and 5 sub-districts are significantly influenced by the number of couples of childbearing age who participate in family planning. The results of modeling predictions (GWLR) in Bojonegoro Regency show that 11 sub-districts have low growth rate categories while 17 sub-districts have high population growth rate values

Spatiotemporal analysis of the link between VCDtrop NO2 and population size for provinces in Sumatra Island during 2012-2020

ABSTRACT Nitrogen dioxide is one of the primary air contaminants that can cause severe ecological and human health effects. This study used the Ozone Monitoring Instrument (OMI) sensor aboard AURA satellite to analyze the spatial and temporal variations of VCDtrop (Tropospheric vertical Columnar density) NO2 concentration in Sumatra, Indonesia, during 2012–2020. Based on the seasonal characteristics, the VCDtrop NO2 amounts in the east part of Sumatra were higher in the dry season and slightly lower in the wet season. The increasing trend was recorded in some provinces; North Sumatra, Riau, South Sumatra, and Lampung with the accumulation rate around 8–9 × 1015 molecules/cm2 from 2012 to 2014. Higher VCDtrop NO2 concentrations were associated with an increase in population size. As a whole, this finding can be useful to arrange air pollution management associated with population growth in urban areas.

Alpine Extremophytes in Evolutionary Turmoil: Complex Diversification Patterns and Demographic Responses of a Halophilic Grass in a Central Asian Biodiversity Hotspot.

Diversification and demographic responses are key processes shaping species evolutionary history. Yet we still lack a full understanding of ecological mechanisms that shape genetic diversity at different spatial scales upon rapid environmental changes. In this study, we examined genetic differentiation in an extremophilic grass Puccinellia pamirica and factors affecting its population dynamics among the occupied hypersaline alpine wetlands on the arid Pamir Plateau in Central Asia. Using genomic data, we found evidence of fine-scale population structure and gene flow among the localities established across the high-elevation plateau as well as fingerprints of historical demographic expansion. We showed that an increase in the effective population size could coincide with the Last Glacial Period, which was followed by the species demographic decline during the Holocene. Geographic distance plays a vital role in shaping the spatial genetic structure of P. pamirica alongside with isolation-by-environment and habitat fragmentation. Our results highlight a complex history of divergence and gene flow in this species-poor alpine region during the Late Quaternary. We demonstrate that regional climate specificity and a shortage of nonclimate data largely impede predictions of future range changes of the alpine extremophile using ecological niche modeling. This study emphasizes the importance of fine-scale environmental heterogeneity for population dynamics and species distribution shifts.

Engagement of CD300c by a novel monoclonal antibody induces the differentiation of monocytes to M1 macrophages

Human CD300c is expressed on various immune or cancer cells and is a novel B7 family member, functioning as an activity modulator on immune cells. To elucidate the function of CD300c, we developed CL7, a human CD300c-specific monoclonal antibody, and assessed its biological activity. The specific binding of CL7 monoclonal antibody against recombinant CD300c antigen was confirmed using enzyme-linked immunosorbent assay and surface plasmon resonance analysis. The binding affinity of CL7 was strong at the sub-nanomolar level. Furthermore, CL7 effectively bound to exogenously expressed CD300c on 293T cells. CL7 antibody differentiated monocytes to M1 macrophages, as evidenced by the upregulated expression of M1-specific cell surface markers and increased secretion of M1-specific cytokines in vitro in THP-1 cells and primary macrophages, as well as the increased population size of M1 macrophages in tumors grafted into mice. Additionally, CL7 treatment upregulated PD-L1 expression on THP-1 cells. We confirmed that the mechanism of M1 macrophage differentiation was through the mitogen-activated protein kinase and NF-κB signaling pathways. CD300c expression on various immune and cancer cells was similar to that of the well-known immune checkpoint PD-L1, suggesting the possibility of CD300c as a novel tumor biomarker. We also confirmed that the tumor size was substantially reduced by CL7 antibody treatment in the CT26 mouse model. Our study supports that CD300c is a potential therapeutic target in immuno-oncology. Overall, the CD300c-specific monoclonal antibody, CL7, is a promising immunotherapeutic agent, and it induces enhanced differentiation of M1 macrophages and/or their infiltration into the tumor microenvironment.

Показатели первичной медико-санитарной помощи населению с учетом медико-демографических особенностей региона.

One of the pertinent issues in practical healthcare is the enhancement of the organization of primary medical and sanitary assistance (PMSA) to the population. The evaluation of the quality, completeness, and adequacy of PMSA is inherently linked to medicodemographic indicators such as population size, age structure, and life expectancy. Additionally, issues related to the accessibility of PMSA for the population are of considerable importance. This study aims to conduct a statistical analysis of indicators of primary medical and sanitary assistance, including consideration of the medicodemographic characteristics of the region. This involves the analysis of specific demographic indicators in the Republic of Tatarstan over the past decade, an examination of the number of outpatient clinic visits in the regions and cities of the Republic of Tatarstan during the period 2018–2022, an assessment of the population’s provision with outpatient and polyclinic institutions (OPI) in Kazan and the regions of the Republic of Tatarstan during the period 2018–2022, and an analysis of the number of paramedical obstetric points in the Republic of Tatarstan during the period 2018–2022. It was observed that in the Republic of Tatarstan, there is an increase in population size and life expectancy during the studied period. The dynamics of the number of visits to OPI during the period from 2018–2022 revealed a pattern of reduced attendance during the COVID‑19 pandemic, followed by an increase in the indicator to levels comparable to the pre-COVID era. It was also noted that in the Republic of Tatarstan as a whole, there is an overall increase in the provision of OPI by 3.4% during the period from 2018 to 2022, and in Kazan, the increase is 8.6%. Intra-regional differentiation of the regions of the Republic of Tatarstan was identified, with areas exhibiting positive and negative trends in attendance and provision indicators for OPI.

Insights on the connectivity, genetic diversity, and population structure of Arctodiaptomus dorsalis (Marsh, 1907) (Copepoda: Calanoida: Diaptomidae) in the Philippines

Abstract The freshwater calanoid copepod Arctodiaptomus dorsalis (Marsh, 1907) was first recorded from the Philippines in 2001 in Laguna de BayThe copepod gained the status of “invasive species” in 2021 due to its presence in 23 of 32 surveyed Philippine lakes and rivers. Genomic DNA was extracted from 107 individuals of A. dorsalis, representing seven populations on the island of Luzon to gather information on the population structure, genetic connectivity, and range expansion of the species.. A 720-bp fragment of the nuclear ITS1 and ITS2 spacers was used to analyze the genetic structure of the populations. High haplotype diversity (Hd = 0.7951), low nucleotide diversity (π = 0.0024), and low genetic distance between populations indicate high levels of gene flow and low levels of isolation. Six of the 12 haplotypes were unique to particular sites, but the three shared haplotypes suggest panmixia among populations. Tajima’s D (D = 0.4945) and Fu’s F (F = -2.8950) suggest a recent increase in population size following a bottleneck. This may have occurred as the result of the copepod’s suspected initial introduction into the Philippines after 1905 via the trade in ornamental aquarium fish, eventually followed by its expansion into nearby inland waters through one or more aquaculture-mediated introduction events. Laguna de Bay’s role since 1972 as the main source of tilapia fingerlings (Oreochromis niloticus (Linnaeus, 1758)) for release into various Philippine lakes provides circumstantial support for this scenario.