Geographic Variation Research Articles

Integration of Health Care Modules in Current Health Care Management Systems in India

Health care beyond worldwide boundaries is a critical problem, particularly when the population differs in terms of geographic position, culture, habits, socioeconomic background, medical strategy, and variations in disease burden over time. For countries like India, with a significant percentage of high-end medical experts as well as support and other health care systems, the development and integration of comprehensive and functionally versatile health care management systems are among the most important clinical problems addressed. The central dogma of a country that facilitates adopting a conglomeration will create a dedicated population to provide tailor-made health care in health shield, health protection, and health care delivery; a nation that takes care of a nation. Until now, it has given us E-Health, and offerings have been fine-tuned in research literature. In India, the health care domain is currently breaking the boundaries of knowledge workers in clinical and research domains working with the help of these workhorses (Fletcher-Brown et al. 2021). Many e-governance and public health reform programs in India are under consideration, and many of them are under implementation. This research focuses more on the integration of health care technology relevant to the paper topic within clinical setups, passive provision, and utilization of services for administrative purposes technologically implemented (Das et al. 2023).

A National-Scale Study of Polycyclic Aromatic Hydrocarbons in Surface Water: Levels, Sources, and Carcinogenic Risk

Elucidating pollution characteristics of polycyclic aromatic hydrocarbons (PAHs) in water and assessing the associated carcinogenic risks is crucial for improving public health. PAHs in the surface water of seven main river basins across China, compiled from 95 studies from 2004 to 2022, were used to investigate geographic variations of occurrence, source, and carcinogenic risk. Total PAH concentrations exhibited substantial geographic distributions ranging from 300 to 7552 ng·L−1. Low molecular weight PAHs predominated, showing three-ring PAHs abundant in the north, while two-ring PAHs dominated in the south due to distinctions regarding energy consumption. The northern basins exhibited higher concentrations of PAHs than the southern owing to the synergistic impacts of low temperature, increased energy consumption, and higher industrial activities. Coal combustion and industrial emissions were the primary contributors in the northern basins, accounting for 23–44% and 20–38%, respectively, which were associated with pollutants released from heavy industries and space heating during cold periods. In contrast, vehicle exhaust emissions and petroleum leakage from river transport constituted the principal sources in the relatively economically developed southern basins, accounting for 24–35% and 31–57%, respectively. A lifetime carcinogenic risk model revealed that the highest health risks existed in adults, followed by adolescents and children. Toxic concentrations of BaP and the daily intake of water directly enhanced the PAHs’ carcinogenic risks, while body weight featured negative correlations with the risks.

Geographic variability of carbon and nitrogen isotope ratios of nonvolant terrestrial small mammals (Rodentia) across 3 Brazilian biomes

Abstract In this study, we investigated landscape variability of the carbon and nitrogen isotopic composition of nonvolant small mammals in the 3 main Brazilian biomes (Amazon, Atlantic Forest, and Cerrado) while also considering the differential spatial distribution of C4 plants in these biomes. We compiled a subset of data on stable carbon and nitrogen isotope ratios from nonvolant small mammals of the order Rodentia and compared the aggregated isotopic variability at the biome level using classical δ13C–δ15N biplot. The concept of isotopic niche width was used to test whether different foraging attributes drive their isotopic composition, while a Bayesian isotopic mixing model was used to estimate the proportion of 3 main food categories available to these small mammals. We also developed isoscapes in the Brazilian biomes, interpolating animals δ13C and δ15N based on the geographic coordinates of each sample and “sourcescapes” considering geographic variation of the dietary sources. The findings of this study advance our understanding of the foraging ecology of small mammals in biodiversity-rich regions of the Neotropics. Classical methodologies such as stomach content confirmed dietary choices revealed by the stable isotopic composition and also highlighted the importance of C3 and C4 plants in the diet of this group of animals, especially in biomes such as the Atlantic Forest and Cerrado, where there is a predominance of highly altered landscapes. These results confirm that replacing the original vegetation with C4 crops has altered the feeding patterns of small mammals, which could lead to critical ecological changes in the trophic structure of these areas. Vertical stratification of the dietary niche and the interaction between biome and foraging lifestyle were also observed. However, in each biome, there was significant intraspecific and interspecific variation caused by preferences for ingestion of plant and animal material, leading to different degrees of omnivory. Finally, the high local variability between individuals and species requires a larger sampling design that may also contribute to improved spatial resolution of the isoscapes.

Optic Neuritis - The Evolving Spectrum.

Optic neuritis (ON) is an inflammatory condition that affects the optic nerve and may be associated with various central nervous system demyelinating conditions, infectious diseases, and systemic autoimmune syndromes. This manuscript sheds light on the epidemiologic patterns and diverse clinical features of ON, emphasizing the importance of early detection and prompt treatment. Various studies have revealed geographic and ethnic variations across ON subtypes, which are likely related to the incidence and prevalence of co-associated disorders. Distinguishing ON subtypes may be challenging and requires use of paraclinical tools. Treatment strategies differ depending on the etiology, further highlighting the importance of accurately identifying specific ON subtypes in a timely manner.

Performance analysis of photovoltaic module using eutectic phase change material

ABSTRACT Geographical factors and environmental variables affect the performance of the solar photovoltaic (SPV) system. The incident solar radiation on the SPV will generate power and increase the surface temperature. Thermal regulation is needed for the SPV system to enhance its performance. In this work, a passive cooling approach is adopted to reduce the surface temperature of the SPV system. The eutectic phase change material is synthesized with the composition of RT35 paraffin wax and sodium sulfate decahydrate. The thermophysical properties of the eutectic mixture are analyzed using a differential scanning calorimeter, and thermal conductivity is measured. The developed eutectic PCM is integrated into the SPV modules’ rear-side packing in the aluminum container. The output of the PV module is increased by 10% and up to 6.1°C reduces the surface temperature of the SPV module compared to the conventional SPV system.

The effects of environmental heterogeneity on the morphological similarity of toothed-leafed red oak species (Acutifoliae; <i>Quercus</i>) in Mexico and Central America

Background: In plants, environmental gradients can promote similar morphophysiological traits in species that inhabit areas with similar climatic conditions. Here, to evaluate possible causes of morphological similarity, we analyzed leaf morphological and functional variation in toothed-leaf oaks and its relationships with environmental and geographic variables. Hypotheses: We expected that species with a greater degree of environmental overlap would exhibit similar leaf morphology, and those with a broader range of environmental tolerance would exhibit greater leaf morphological variation. Studied species: Acutifoliae group (Fagaceae, Quercus) Study sites and dates: Leaf samples were collected from adult trees distributed in diverse forest types between 495 and 2,566 meters above sea level (m asl) in Mexico and Guatemala. Methods: We compared patterns of leaf variation in a total of 2,934 leaves from 640 individuals corresponding to 68 populations of ten oak species using univariate and multivariate analyses. We also characterized the environmental conditions where each of the species occurred using the available geographical records and bioclimatic variables. Results: We found morphological overlap in leaf traits in oak species occurring in similar climatic environments. Additionally, oak species with a greater range of environmental distributions showed greater leaf shape morphological variation. Conclusions: The environment influenced the generation of similar leaf morphologies among oak species despite geographical distance and phylogenetic relationships.

Unveiling the Burden of Nephrolithiasis in Low- and Lower-Middle Income Countries: A Review on Its Presentation, Risk Factors, Treatment Practices, and Future Directions

Background: Nephrolithiasis, or kidney stone disease, presents a significant global health burden, with global incidence rates and treatment practices varying widely. This study aims to discuss the epidemiology, risk factors, treatment modalities, and challenges for nephrolithiasis in the lower half of the World Bank rankings; that is, in low- and lower-middle-income countries. Methods: A comprehensive literature review was conducted using PubMed for each country on the list, focusing on studies published from January 2000 onwards and reporting data on prevalence, risk factors, treatment practices, and economic implications. Results: Nephrolithiasis represents a significant burden for healthcare systems, with noteworthy geographical variability in prevalence possibly dependent on socioeconomic status and gender. Risk factors include dietary habits, climate, pollution, and infectious diseases. Treatment practices in some regions still rely on open surgery due to limited access to advanced endourological techniques, while other regions demonstrate high proactivity in research. The burden is exacerbated by inadequate healthcare infrastructure and training. Conclusions: Addressing nephrolithiasis in challenging economic circumstances requires targeted interventions, including improved access to modern treatment methods, enhanced training for healthcare professionals, and better socioeconomic and environmental conditions. Future research should focus on region-specific strategies and the development of sustainable healthcare solutions.

Factors associated with modern contraceptive utilization among reproductive age women in Cambodia; evidenced by the recent Cambodia demographic and health survey

IntroductionCambodia is a low-income country with limited access to family planning (FP) in terms of modern contraceptive utilization. Despite several FP programs designed to make contraceptives accessible, adoption of contraceptives has been difficult in Cambodia, which has high rates of fertility and maternal mortality. This gap in essential care can put women and adolescent girls at greater risk of adverse outcomes such as stillbirth, spontaneous abortion, unwanted pregnancy, or even maternal death. One of the goals set by the government to decrease both maternal and child mortality and morbidity was increasing the modern contraceptives utilization. So, the main objective of this study was to evaluate spatial variations in modern contraceptives utilization and its contributing factors among women.MethodsData from the Cambodia 2021–22 Demographic and Health Survey datasets were used for secondary data analysis. A total of 19,496 women of reproductive age participated in the study. A spatial and multilevel mixed effects analysis was done on the factors affecting modern contraceptives utilization among Cambodian women. Finally, the percentage, odd ratio, together with their 95% confidence intervals and the results of the spatial analysis were provided.ResultThe prevalence of modern contraceptive use was 31.2% in Cambodia. Living in an urban area [AOR = 1.224; 95% CI = (1.126.1.330); P = 0.0001]; being married [AOR = 34.131; 95% CI= (12.673, 91.921); P = 0.0001]; and having a history of terminated pregnancy [AOR = 1.137; 95% CI= (1.055, 1.225); P = 0.0001] were found to be positively associated with modern contraceptive utilization. In contrast to this, being between the age range of 46–49 [AOR = 0.421; 95% CI = (0.364, 0.487); P = 0.0001]; being a female-headed household [AOR = 0.784; 95% CI = (0.723, 0.850); P = 0.0001]; and current breast feeding [AOR = 0.84; 95% CI = (0.75, 0.93); P = 0.010] were found to be negatively associated with modern contraceptive utilization. Additionally, the spatial analysis of modern contraceptive utilization showed that a higher proportion was utilized in the southern and southwest regions of Cambodia.ConclusionIn this study, living in urban area, being married and having history of terminated pregnancy were found positively associated with modern contraceptive utilization. In contrast to this, being old age, being female headed household and being currently breast-feeding women were found negatively associated with modern contraceptive utilization. In addition to this, there were geographic (spatial) variations in modern contraceptive utilization among Cambodian’s women across the country.

Identification of a new Clostridium perfringens variant with a chromosomally encoded enterotoxin gene in a suspected persistent food poisoning outbreak in Eritrea

Clostridium perfringens is a causative agent of various human and animal enteric diseases including food poisoning. In this study, we describe an interesting case of a persistent food poisoning outbreak among Finnish peacekeepers in Eritrea, possibly caused by Clostridium perfringens carrying a new variant of the chromosomally encoded enterotoxin gene. C. perfringens strains causing food poisoning carry the enterotoxin gene, cpe, in its chromosome (c-cpe) or on a plasmid (p-cpe). PCR assays are widely used for toxinotype C. perfringens strains. The integration sites for the cpe gene are highly conserved, and PCR assays targeting the cpe gene and the adjacent IS elements (the IS1470 in c-cpe and the IS1470-like or IS1151 in p-cpe strains) are used to further determine the genetic location of the cpe gene. We sequenced nine enteropathogenic C. perfringens strains related to a persistent food poisoning outbreak among Finnish peacekeepers in Eritrea. Six of these strains produced non-typeable cpe results in the standard PCR assay due to divergence in the enterotoxin integration site. The gene order of the new variant of the chromosomal cpe insertion site with an additional IS1470 element impairing genotyping PCR assay for the location of cpe is described. In addition, variant c-cpe strains carried 58–81 copies of IS1470 in their genomes, compared to 9–23 copies found in previously described c-cpe strains. Thus, the present study represents an untraditional type of C. perfringens food poisoning caused by variant c-cpe strains, and the sequenced strains bring geographic variation to the existing strain collection of sequenced C. perfringens.

Air pollution’s numerical, spatial, and temporal heterogeneous impacts on childhood hand, foot and mouth disease: a multi-model county-level study from China

BackgroundWhile stationary links between childhood hand, foot and mouth disease (HFMD) and air pollution are known, a comprehensive study on their heterogeneous relationships (nonstationarity), jointly considering numerical, temporal and spatial dimensions, has not been reported.MethodsMonthly HFMD incidence and air pollution data were collected at the county level from Sichuan-Chongqing, China (2009–2011), alongside meteorological and social environmental covariates. Key influential factors were identified using random forest (RF) under the stationary assumption. Factors’ numerically, temporally, and spatially heterogeneous relationships with HFMD were assessed using generalized additive model (GAM) and geographically and temporally weighted regression (GTWR).ResultsOur findings highlighted the relatively higher stationary contributions of fine particulate matter (PM2.5) and ozone (O3) to HFMD incidence across Sichuan-Chongqing counties. We further uncovered heterogeneous impacts of PM2.5 and O3 from three nonstationary perspectives. Numerically, PM2.5 showed an inverse ‘V’-shaped relationship with HFMD incidence, while O3 exhibited a complex pattern, with increased HFMD incidence at low PM2.5 and moderate O3 concentrations. Temporally, PM2.5’s impact peaked in autumn and was weakest in spring, whereas O3’s effect was strongest in summer. Spatially, hotspot mapping revealed high-risk clusters for PM2.5 impact across all seasons, with notable geographical variations, and for O3 in spring, summer, and autumn, concentrated in specific regions of Sichuan-Chongqing.ConclusionsThis study underscores the nuanced and three-perspective heterogeneous influences of air pollution on HFMD in small areas, emphasizing the need for differentiated, localized, and time-sensitive prevention and control strategies to enhance the precision of dynamic early warnings and predictive models for HFMD and other infectious diseases, particularly in the fields of environmental and spatial epidemiology.

Spatial heterogeneity in unintended pregnancy and its determinants in India

BackgroundUnderstanding the geographic variation of unintended pregnancy is crucial for informing tailored policies and programs to improve maternal and child health outcomes. Although spatial analyses of unintended pregnancy have been conducted in several developing countries, such research is lacking in India. This study addresses this gap by investigating the geographic distribution and determinants of unintended pregnancy in India.MethodsWe analysed data from the National Family Health Survey-5 encompassing 232,920 pregnancies occurring between 2014 and 2021 in India. We conducted a spatial analysis to investigate the distribution of unintended pregnancies at both state and district levels using choropleth maps. To assess spatial autocorrelation, Global Moran’s I statistic was employed. Cluster and outlier analysis techniques were then utilized to identify significant clusters of unintended pregnancies across India. Furthermore, we employed Spatial Lag Model (SLM) and Spatial Error Model (SEM) to investigate the factors influencing the occurrence of unintended pregnancies within districts.ResultsThe national rate of unintended pregnancy in India is approximately 9.1%, but this rate varies significantly between different states and districts of India. The rate exceeded 10% in the states situated in the northern plain such as Haryana, Delhi, Uttar Pradesh, Bihar, and West Bengal, as well as in the Himalayan states of Himachal Pradesh, Uttarakhand, Sikkim, and Arunachal Pradesh. Moreover, within these states, numerous districts reported rates exceeding 15%. The results of Global Moran’s I indicated a statistically significant geographical clustering of unintended pregnancy rates at the district level, with a coefficient of 0.47 (p < 0.01). Cluster and outlier analysis further identified three major high-high clusters, predominantly located in the districts of Arunachal Pradesh, northern West Bengal, Bihar, western Uttar Pradesh, Haryana, Delhi, alongside a few smaller clusters in Odisha, Madhya Pradesh, Uttarakhand, and Himachal Pradesh. This geographic clustering of unintended pregnancy may be attributed to factors such as unmet needs for family planning, preferences for smaller family sizes, or the desire for male children. Results from the SEM underscored that parity and use of modern contraceptive were statistically significant predictors of unintended pregnancy at the district level.ConclusionOur analysis of comprehensive, nationally representative data from NFHS-5 in India reveals significant geographical disparities in unintended pregnancies, evident at both state and district levels. These findings underscore the critical importance of targeted policy interventions, particularly in geographical hotspots, to effectively reduce unintended pregnancy rates and can contribute significantly to improving reproductive health outcomes across the country.

Evaluating the levelized costs and life cycle greenhouse gas emissions of electricity generation from rooftop solar photovoltaics: a Swiss case study

Abstract The transition to renewable energy sources is pivotal in addressing global climate change challenges, with rooftop solar photovoltaic (PV) systems playing a crucial role. For informed decision-making in energy policy, it is important to have a comprehensive understanding of both the economic and environmental performance of rooftop solar PV. This study provides a high-resolution analysis of existing rooftop solar PV systems in Switzerland by assessing the robustness of the potential estimation to properly derive the amount of electricity generated by individual systems, and subsequently quantify the levelized cost of electricity and life cycle greenhouse gas (GHG) emissions of electricity generation from PV and compare them with those of grid electricity supplies. Our results indicate substantial geographical variations between potential estimations and real-world installations, with notable underestimations of approximately 1.3 Gigawatt-peak, primarily for systems around 10 kWp in size, mainly due to the quality of input data and conservative estimation. The study finds that in many regions and for most of the installed capacity, electricity generated from rooftop PV systems is more economical than the grid electricity supply, mainly driven by factors including high electricity prices, larger installations and abundant solar irradiance. The GHG emissions assessment further emphasizes the importance of methodological choice, with stark contrasts between electricity certificate-based approaches and others that are based on the consumption mix. This study suggests the need for more accurate geographical potential estimations, enhanced support for small-scale rooftop PV systems, and more incentives to maximize the potential of their roof area for PV deployment. As Switzerland progresses towards its renewable energy goals, our research underscores the importance of informed policymaking based on a retrospective analysis of existing installations, essential for maximizing the potential and benefits of rooftop solar PV systems.

Geographical variations and predictors of coronary artery disease mortality in Turkiye: an environmental and behavioral analysis

ObjectiveThis study aims to analyze the geographical variations and identify key environmental and behavioral predictors of coronary artery disease (CAD) mortality in Turkiye.MethodsA 10-year longitudinal province-level data was used to identify change trajectories of CAD mortality. Environmental determinants (such as air quality and climatic conditions) and behavioral factors of alcohol consumption and smoking were examined for their association with CAD mortality change trajectories using Ordinal Logistic Regression models.ResultsThe study revealed significantly different trajectoriesof CAD mortality across Turkiye. Environmental factors, particularly air quality (Particulate Matter-10 variation) and climatic conditions (humidity and temperature variations), were heavily associated with the level of CAD mortality. Behavioral factors, notably alcohol consumption and smoking, also exhibited a significantly positive association. Humidity, sunlight, and temperature remained as key predictors of CAD after controlling for smoking and alcohol consumption.ConclusionThe study underscores the importance of addressing environmental and lifestyle factors in CAD management and prevention strategies. The findings suggest the necessity for region-specific interventions and public health policies tailored to the unique characteristics of each province in Turkiye. This research contributes to a deeper understanding of the multifactorial nature of CAD mortality, providing valuable insights for future research to investigate causal associations, healthcare planning, and policy-making.Trial registrationOur study has been registered in ClinicalTrials.GOV system with a procotol ID of CAD001.

Multi-Annual Study of Eriogaster catax (Linnaeus, 1758) (Lepidoptera, Lasiocampidae) Oviposition Strategy in Transylvania's Largest Population: Key Insights for Species Conservation and Local Land Management.

This study provides new insights into the oviposition strategy of Eriogaster catax (Linnaeus, 1758) (Lepidoptera, Lasiocampidae), an endangered species of moth found in semi-natural habitats within agricultural landscapes. Protected under various European directives and listed as Data Deficient by the IUCN, E. catax inhabits warmer regions of the Western Palearctic. Despite noted geographic variations in its ecological preferences, few studies have statistically significant data on its ecology. Our six-year study, conducted within the largest known population of E. catax. in Romania, reveals critical data on its oviposition preferences, including the species' tendency to utilize Prunus spinosa L. and Crataegus monogyna Jacq. shrubs at an average height of 80.48 ± 34.3 cm, with most nests placed within the 41-80 cm range and containing an average of 186 ± 22 eggs. The study also addresses the species' vulnerability to human activities such as bush trimming, agricultural burning, and uncontrolled grazing, particularly due to its low oviposition height. These findings underscore the negative impact of overgrazing and burning practices, particularly when conducted on a large scale, on the conservation of E. catax. The detailed ecological requirements identified in this study are essential for developing effective conservation strategies and habitat management practices. Furthermore, the study highlights the importance of local community involvement and public education in raising awareness about biodiversity and the conservation of endangered species.

Content-Based Instruction in Language Education: A Bibliometric Review

The popularization of content-based foreign language programs has given rise to Content-Based Instruction (CBI) as a practical pedagogical approach to facilitating language learning through the medium of content. The growing amount of relevant research in the past decades has necessitated a systematic review of the trends in CBI research to summarize achievements and illuminate future research practices. In this article, CBI-related research articles indexed in Web of Science are reviewed bibliometrically using VOSviewer, following a rigorous selection and screening process. Certain aspects are emphasized, including publication patterns, geographic distribution, institutional contributions, contributing scholars, influential journals and articles, and frequently repeated author keywords. Among the findings, the review highlights substantial geographical variation in previous CBI research as well as the most frequently repeated keywords with corresponding clusters. This review concludes by addressing the research trends in this field and recommending future research directions, which are crucial for understanding the current situation and establishing a foundation for future studies.

Geographical variation, socioeconomic inequalities of low birth weight, and its relationship with maternal dietary diversity: Insights from the maternal infant and young child nutrition programme in Bangladesh.

Globally, every year, 20 million neonates are born with weights below 2500 g and are considered low birth weight (LBW). About 90% of these births occur in low- and middle-income countries. Information regarding the geographical variation, socioeconomic inequalities of LBW neonates, and the relationship between maternal inadequate dietary diversity and LBW is limited in rural areas of Bangladesh. We aimed to explore the geographical disparities and socioeconomic inequalities in the prevalence of LBW and its association with inadequate maternal dietary diversity. We extracted data from a large-scale evaluation programme conducted as a part of the maternal infant and young child nutrition phase two in Bangladesh, implemented by BRAC. We used the concentration index (CIX) to measure the socioeconomic inequalities of LBW. We performed a cluster-adjusted multiple logistic regression analysis to determine the association between LBW and maternal dietary diversity. A total of 4651 children aged <5 years with their mother's information were included. The overall prevalence of LBW was 13.5%. About 16% of mothers living in the poorest wealth quintile gave birth to LBW babies, whereas 10% of mothers living in the richest households gave birth to LBW babies. The CIX exhibited LBW babies were more prevalent among the socioeconomically worst-off (poorest) group (CIX = -0.08), indicating mothers of the poorest households are vulnerable to giving birth to normal-weight babies. An adjusted multiple logistic regression model indicated that mothers with inadequate dietary diversity had higher odds (adjusted odds ratio (AOR) = 1.27; 95% confidence interval (CI) = 1.04, 1.54) of giving birth to LBW babies. Notably, in the interaction of mothers' age and dietary diversity, we found that adolescent mothers (aged ≤ 19 years) with inadequate dietary diversity had 2.56 times (AOR = 2.56; 95% CI = 1.14, 5.76) higher odds of giving birth to LBW babies compared to adult mothers (aged >19 years) who consumed diversified foods. Intervention strategies for reducing LBW prevalence should target the poorest households. Also, interventions for improving the dietary diversity of adolescent pregnant mothers are expected to reduce the number of LBW babies from the rural areas of Bangladesh.

Dear Malaria: Deer Have Malaria! Prevalence ofPlasmodium odocoilei Infection in White-tailed deer in Pennsylvania

Abstract Background To combat antimalarial treatment resistance, better understanding of malaria pathogenesis is needed, but existing animal model have various limitations. Notably, prevailing murine models require laboratory infection of non-natural host species. In 2016, the parasite Plasmodium odocoilei was identified in white-tailed deer (Odocoileus virginianus). This was the first non-human mammalian malaria parasite identified in North America, representing a novel naturally occurring model system that allows for integrated examination of host, vector, and systems parasite biology. In addition, sickle hemoglobinopathy is exceptionally common among white-tailed deer, occurring in up to 60% of apparently healthy animals. In humans, the prevalence of sickle hemoglobinopathy in individuals with ancestry from malaria-endemic regions is due to the protective effects of sickle trait against severe malaria. Thus, the white-tailed deer-P. odocoilei system represents the only known naturally occurring model of the association between malaria parasite biology and sickle cell disease. Pennsylvania white-tailed deer have not previously been surveyed for infection. In this study, we determined P. odocoilei prevalence in a sample of 170 Pennsylvania white-tailed deer. Methods We amplified the CytB gene of P. odocoilei by nested PCR from DNA extracted from homogenized white-tailed deer tongue tissue obtained from the PennVet Wildlife Futures Program. We confirmed samples screening positive on gel electrophoresis via unprimed sequencing (Plasmidsaurus, USA) and NCBI-BLAST analysis. Results We estimate the prevalence of P. odocoilei infection in Pennsylvania white-tailed deer to be 0.6% (1 of 170 samples). Sequencing of the positive sample revealed a 621-bp sequence with close sequence identity to previous North American isolates of P. odocoilei (query cover 91-100%, percent identity 99.34-100.00%). Biobank metadata showed the positive sample originated from a roadkilled yearling male picked up at GPS coordinates (40.8423, -79.0409) on August 15, 2022. Conclusion P. odocoilei is endemic to Pennsylvania white-tailed deer. Our future directions include screening of additional samples, determination of host hemoglobin allele frequencies, detailed parasite genetic studies, and entomologic studies to elucidate vector biology. In addition, granular sample metadata collected by the PennVet Wildlife Futures Program will allow us to analyze the effects of geographic, demographic, and temporal variables on epidemiology. In sum, our survey data empowers future Pennsylvania-based studies to take advantage of the only known naturally occurring animal model of sickling and its association with protozoan infection.

Geographical Variation in the Sand Cat, Felis margarita (Carnivora: Felidae)

Sand cats, Felis margarita, range from northern Africa and the Arabian Peninsula to Central Asia. Their apparently discontinuous distribution is recognized as comprising four subspecies. Recent genetic research found little differentiation between subspecies except for the North African form. In this study, 90 skins and 88 skulls were analyzed from the four subspecies. A discriminant function analysis of the scores, ranging from 1 to 4, of four pelage characteristics revealed differentiation between putative subspecies, except between Turkmenian and Pakistani sand cats. Northern African and Arabian sand cats tend to be spotted and striped, while Turkmenian and Pakistani sand cats are less spotted and have a dorsal crest of fur. Nonmetric multidimensional scaling (NMDS) models generated from 21 skull measurements revealed an overlap in morphospace between all subspecies, except for larger Turkmenian sand cats; northern African sand cats were smallest. Therefore, both pelage characteristics and skull morphometrics support up to three subspecies. However, considering recent genetic research, it is likely that two subspecies should be recognized, F. m. margarita from northern Africa and F. m. thinobia from the Arabian Peninsula, and Southwest and Central Asia. Widening of the dataset and nuclear DNA evidence are required to increase our understanding of geographical variation in this little studied species.

Vegetative traits, floral biology, and mutualistic interactions in the tropical mountain shrub Ribes ciliatum (Grossulariaceae)

Plant species in tropical mountain ecosystems experience significant environmental variation across short spatial distances. These systems offer an opportunity to assess geographic variation in plant traits in relation to biotic and abiotic environments. We examined plant vegetative and reproductive traits in the shrub R. ciliatum across two native conifer forests in central Mexico. We measured plant height, number of branches, leaf size, flower production, floral morphology, floral longevity, and plant reproductive success in R. ciliatum populations found in fir forests (3100 m) and Hartweg's pine forests (subalpine habitat, 3700 m). We also quantified the level of pollinator dependence, pollinator visitation rates, and fruit consumption rates by frugivorous birds in both populations. Plants were shorter and had smaller leaves in the subalpine forest than in the fir forest. Floral longevity decreased in the subalpine forest, but flower production, flower size, and fruit weight remained similar across populations. Fruit set and pollinator visitation rates were higher in the subalpine forest; however, seed weight and fruit consumption rates did not differ between sites. Hummingbirds and bumblebees were the primary pollinators of R. ciliatum, and the bird Ptiliogonys cinereus was the most important fruit consumer at both sites. Fruit set was entirely dependent on pollinators. Reduced plant size in the subalpine forest coincides with a general pattern associated with high mountain environments. In contrast, reproductive characters had a closer relationship to the pollination environment. The absence of variation in flower size and shape was consistent with the similarity in the composition of the pollinator community. Meanwhile, compared to lower-elevation forests, the subalpine forest exhibited shorter-lived flowers and increased fruit set, associated with higher pollinator visitation rates. Ribes ciliatum is a key resource for pollinators and frugivores at a time of year when few other floral resources are available in these high-elevation mountain forests.

Unveiling Priority Emerging PFAS in Taihu Lake Using Integrated Nontarget Screening, Target Analysis, and Risk Characterization.

Amidst tightening regulations, the proliferation of next-generation per- and polyfluoroalkyl substances (PFAS) necessitates a deeper understanding of their environmental fate and potential risks. Here, we conducted a comprehensive assessment of PFAS in the water and sediment of Taihu Lake, incorporating both nontarget and target screening, seasonal and geographical variation analysis, and risk prioritization. A total of 58 PFAS from 13 classes were identified, revealing complex PFAS contamination. In addition to short-chain perfluoroalkyl carboxylates (PFCAs) and sulfonates (PFSAs), bis(trifluoromethanesulfonyl)imide (Ntf2) and perfluoro-2,5-dimethyl-3,6-dioxo-heptanoic acid (C7 HFPO-TA) exhibited relatively high concentrations in water, with median values of 21.7 and 5.72 ng/L, respectively. Seasonal and geographical variation analysis revealed elevated levels of C7 HFPO-TA, Ntf2, and perfluorohexanoic acid (PFHxA) in the northeastern areas, suggesting transport via water diversion project. Multicriteria risk prioritization identified four high priority PFAS (Ntf2, C7 HFPO-TA, PFHxA, and perfluorooctanoic acid (PFOA)) in water and two high priority PFAS (hexafluoropropylene oxide dimer acid (HFPO-DA) and PFHxA) in sediment. Overall, this study revealed Ntf2 and C7 HFPO-TA as priority PFAS in Taihu Lake, underscoring the urgent necessity of evaluating risks associated with these emerging PFAS.