Low-density Areas Research Articles

Konsep Kota 15 Menit : Peluang dan Tantangan Penerapannya pada Kota Pulau

The Banda Neira Islands possess significant cultural potential, yet many historical buildings are neglected, and accessibility is limited. With an area of just 3 km², planning that prioritizes pedestrians and cyclists is necessary. This study aims to explore the opportunities and challenges of implementing the 15-Minute City concept in Banda Neira. A qualitative research method is employed, beginning with an assessment of the physical and non-physical conditions in the urban area, particularly aspects related to the 15-Minute City components. The study finds that adjusting facilities based on population density is crucial for supporting the 15-Minute City principle, with high-density areas requiring more facilities, while low-density areas need better accessibility. The current layout allows access within 15 minutes on foot or by bicycle. The diversity of facilities supports social integration, but further digital technology implementation is needed to enhance service access and overall quality of life.

Exploring the Impact of Regional Environment and Institutional Factors on Operation Period of Nursing Facilities in Taiwan

This study examines factors influencing the operational durations of nursing facilities in Taiwan. It departs from previous closure-focused research by analyzing the duration of facility operation. A Cox regression model was employed to assess the impact of regional, governmental, and individual institutional factors on 199 facilities across diverse areas in Taiwan from 2011 to 2019. Results demonstrate closure hazards associated with rising property prices, particularly for rented facilities, with metropolitan locations exhibiting superior survival rates and lower institutional appraisal grades significantly increasing closure. Additionally, operator background, facility type, and bed occupancy emerged as influential factors. These findings underscore the financial vulnerability of rented facilities to market fluctuations and the challenges associated with adjusting resident fees. Furthermore, the study highlights the unique challenges faced by facilities in low-density areas regarding resident access to resources. Policymakers should closely monitor regional factors and consider proactively implementing early warning systems to address these challenges.

Comparative Analysis of Household Residential Preferences Across Neighbourhood Densities in Nairobi, Kenya

Rapid urban growth in Nairobi city outstrips demand and provision of adequate housing. The demand for housing in an area is dependent on the satisfaction of the resident’s needs and wants. This paper examines the residential preferences of residents in three residential estates, low, medium, and high densities in Nairobi City, Kenya. Data was collected by use of questionnaires that were administered to 267 households. Primary data was collected for this study. The data collected was analysed using factor analysis and ordinal regression. Data was presented in the form of tables. The results indicate residential preferences among high, medium and low-density areas vary. The most preferred factors for low-density residents were safety and security, open spaces and facilities; while the residents in high-density areas preferred housing diversity, local employment and close proximity to the workplace. The least preferred factor for low-density residents was close proximity to work place since they own cars hence they are more willing to commute while high-density residents prioritize proximity to work to minimize transportation costs. Residential preferences varied by density, age, gender, education and years lived in an estate. Preference for safer neighbourhoods with open spaces and facilities was high for residents in low-density areas while preference for neighbourhoods with housing diversity, local employment and close proximity to workplaces was high among the residents in high-density estates. These insights underscore the importance of addressing the varied needs and preferences of different demographic groups in urban planning and housing policy to create more equitable and livable communities in Nairobi in order to limit housing mismatch. This study contributes to the planning studies by firming up empirical evidence from developing countries that have high populations in urban areas

Nanocellulose and its modified forms in the food industry: Applications, safety, and regulatory perspectives.

Nanocellulose (NC), known for its unique properties including high mechanical strength, low density, and extensive surface area, presents significant potential for broad application in the food sector. Through further modification, NC can be enhanced and adapted for various purposes. Applications in the food industry include stabilizing, encapsulating, and packaging material. Additionally, due to its unique characteristics during digestion in the gastrointestinal tract, NC and its derivatives exhibit the potential to be used as health-promotion food ingredients. However, while the safety data on unmodified NC is readily available, the safety of modified forms of NC for use in food remains uncertain. This review offers a comprehensive analysis of recent breakthroughs in NC and its derivatives for innovative food applications. It synthesizes existing research on safety evaluations, with a particular emphasis on the latest findings on toxicity and biocompatibility. Furthermore, the paper outlines the regulatory landscape for NC-based food ingredients and food contact materials in the United States and European Union and provides recommendations to expedite regulatory authorization and commercialization. Ultimately, this work offers valuable insights to promote the sustainable and innovative application of NC compounds in the food sector.

Revealing the transformation of spatial structure of greater Cairo: Insights from satellite imagery and geospatial metrics

Greater Cairo (GC) is the seventh-largest metropolitan city globally. In recent decades, GC has witnessed massive urban expansion, which has yet to be empirically measured or characterized. This research seeks to explore the patterns of urban growth and changes in urban form in GC from 1973 to 2021 using remote sensing and geospatial metrics. Six Landsat images in 1973, 1984, 1992, 2003, 2013, and 2021 were used to explore urban growth in GC. Urban Land Density Function (ULDF), Landscape Expansion Index (LEI), and Fractal Dimension Index (FDI), were utilized to analyze various aspects of urban expansion. Additionally, the ratio of Land Consumption Rate (LCR) to Population Growth Rate (PGR) was calculated to assess the correlation between urban expansion and population changes. Our results reveal a substantial addition of 203 thousand hectares of urban areas over the last half-century. The ULDF highlights GC’s transformation from a condensed to a scattered urban landscape, particularly with the establishment of the New Administrative Capital in the vicinity. Edge expansion emerged as the principal type of urban growth throughout the research duration. The consistent increase in FDI from 1.44 in 1973 to 1.75 in 2021 signifies the fragmentation of the urban landscape. Moreover, the progressive rise in LCR from 0.023 in 1984 to 0.050 ​ha per person in 2021 suggests a steady expansion of low-density urban areas. Notably, the LCR-to-PGR ratio escalated from 0.878 in 1984 to 2.428 in 2021, indicating that urban expansion surpassed population growth. These results will help further understand the characteristics of GC’s urban expansion and may offer a scientific foundation for policymakers to reconsider the current horizontal expansion policy in GC.

A unique case of Sylvian arachnoid cyst complicated by chronic subdural hematoma

Background: Arachnoid cysts (ACs) complicated by chronic subdural hematoma (CSDH) are a rare but distinct entity. Case Description: A 27-year-old man previously diagnosed with Sylvian AC presented to the hospital with a persistent headache. He was not aware of any preceding head trauma. However, he frequently performed bench presses at the gymnasium, especially 4 weeks prior. The patient did not exhibit any neurological deficits at presentation. Computed tomography revealed slightly low-density areas in the right cerebral convexity. Magnetic resonance imaging revealed compressive masses in the right middle fossa and cerebral convexity. The patient underwent a craniotomy. Reflection of the dura mater exposed thickened arachnoid membrane. Making an incision resulted in the egress of fluid hematoma. The membrane separating the subdural hematoma and inner AC possessed fine vasculature and adjacent holes. Furthermore, there were fragile clots adhered to the inner wall of the cyst. Microscopic findings of the separating membrane were consistent with inflammatory granulation tissue, similar to those of the outer membrane of CSDH. Conclusion: Exertional hypertension associated with the bench press may result in the rupture of fine arteries distributed over the AC wall. Under certain circumstances, the AC wall may transform into the outer membrane of CSDH.

Resilience of Interurban Public Transport and Impact of COVID-19 on Rural Connectivity in Sparsely Populated Regions

The aim of this research consisted of assessing the effects of the COVID-19 pandemic on the interurban public transport system in a rural region with a sparse population density, considering the number of tickets sold and passengers in each locality, as well as the different connecting lines. From a methodological point of view and with the intention of identifying patterns to explain the behaviour of both the routes and passengers, a series of variables were selected, becoming determining factors that sought to offer a solution to the search for a common trend. Additionally, data processing by the means of statistical analysis and the application of Geographic Information Systems (GIS) tools complemented the procedure. The results obtained in the investigation were provided both by municipality and by interurban routes. An interesting finding of this research was the uneven recovery of the municipalities. The localities closest to the attractor nucleus have recovered more quickly to pre-pandemic mobility levels due to their geographical proximity, larger populations, higher incomes per household, and need to access certain public services. In terms of routes, all the lines showed significant decreases in ticket sales, although with variations. Although passenger numbers have shown a gradual recovery, the initial loss was considerable, and pre-pandemic normality has not been completely achieved. This research provides a comprehensive overview of the changes in interurban mobility over a four-year period. The incorporation of critical variables and the segmentation by municipality and route provide a way to identify discernible patterns of mobility. However, the lack of previous research focusing on the impact of the pandemic in rural areas of low population density restricts the possibility of establishing a comparison and to generalise the findings. The authors consider that future research should include other alternative means of transport in these interurban areas and incorporate variables to characterise passengers, such as age, gender, etc.

Social determinants and drivers of use of SARS-CoV-2 self-tests in a French national cohort study

Abstract Background Self-tests for SARS-CoV-2 became quickly available after the onset of the epidemic. They were especially recommended for high-risk and hard-to-reach populations. This study examines whether self-tests successfully reached vulnerable groups during first months of availability in France. Methods The EpiCov study is a national population-based cohort study conducted in France during the Covid-19 pandemic. Primary outcome variable was use of self-test at last SARS-CoV-2 test, among those who reported testing at least once between May-July 2021. Univariate and multivariate binomial weighted logistic regressions were run, stratified by age group (16-24 yrs, 25-59, 60+), to identify social determinants and drivers of use of self-tests. Results Overall, 11% of the population who tested for SARS-CoV-2 between May-July 2021 reported using a self-test as last test. Demographic factors were highly predictive of use of self-tests among 25-59 y/o, but not among younger and older age groups. Use of self-tests was highest among 16-24 y/o, people with higher education, lowest population density areas, and people with high overall frequency of testing. Use was lowest among 60+ y/o, unemployed and retired people, and first-generation immigrants. When stratifying by age, 16-24 y/o with high perceived Covid-19 risk were more likely to use self-tests (aOR 1.99, 95% CI 1.10-3.59). Among 25-59 y/o, in-person workers were more likely to use self-tests than remote workers (aOR 1.91 [1.20-3.05]). Among 60+ y/o, employed people were more likely than retired people (aOR 3.97 [2.30-6.85]). Conclusions With higher utilization in low population density areas and among frequent testers, convenience may be a primary driver of use of self-tests. Additional drivers include perceived risk among younger people and exposure at work for those ≥25 yrs. Inequities in use were observed, with lower use among people with low education, older age, and immigrants. Key messages • Use of self-tests in France during the Covid-19 pandemic was low among vulnerable population groups, including people with lower education, immigrants, and older individuals. • Drivers of use included geographical access to healthcare services, perception of risk among younger respondents, and exposure at work among adults aged ≥25 years.

Mapping wild nature areas to identify priority areas for urban rewilding in cities: A process-oriented approach

Urban rewilding initiatives are gaining traction in cities, yet little remains known about the spatial opportunities for transitioning greenspaces into rewilding sites. This paper advances a process-oriented framing of urban wild nature areas (WNAs) and proposes a novel methodological approach for mapping existing WNAs at the city-scale, thereby shedding light on the potentials for urban rewilding across greenspace types and urban environments. Using Vienna as a case study, we identify WNAs as greenspaces predominantly shaped by natural succession processes and devoid of vegetation management. NDVI timeseries derived from Sentinel-2-satellite data for the period 2017–2022 are processed using a Random Forest algorithm to distinguish between unmanaged and managed vegetation annually and integrated into a multi-year composite map of ‘urban vegetation management intensity’. Based on this map and a set of objective cut-off values, 1298 WNAs are identified, representing 29.5 % of the city’s total urban greenspace and 14.9 % of the city’s total area. WNAs are distributed across diverse urban settings and greenspace types, with the majority being found in formal greenspaces such as forests, meadows and parks, and low-density built-up areas. The key strength of the process-oriented approach lies in its ability to detect WNAs dominated by natural succession, regardless of historic origin, greenspace type, and governance structure, thereby providing a baseline against which the full potential for urban rewilding can be evaluated. We demonstrate the methods’ utility in identifying potentials for urban rewilding, emphasising the importance of directing rewilding efforts towards residential greenspaces, urban parks, and street greenery, especially in densely built inner-city districts.

Land Use, Travel Patterns and Gender in Barcelona: A Sequence Analysis Approach

Transport systems are essential for the path toward sustainable urbanisation and the transition to more sustainable living. Recently, European cities have undergone substantial changes, and suburbanisation is posing new challenges. Suburban areas are often more affordable in terms of housing, but these neighbourhoods tend to be car-oriented. This leads to higher commuter costs, immobility, transport and time poverty, pollution, higher accident rates and a lack of social interactions. To offer sustainable mobility options to citizens, we must comprehensively understand, together with their individual characteristics, their specific mobility practices and the built environment where they live. This study is centred on the Barcelona Metropolitan Region, which has a public transport network that covers its entire area. The aim of this study is to examine the relationships between travel behaviour, transport mode use, individual characteristics and built environment characteristics in the place of residence using detailed information sources. Herein, we used data from the 2018 to 2021 annual travel survey conducted in the Barcelona region, together with land use and sociodemographic information. Our findings suggest that transport policies have encouraged sustainable mobility practices, particularly in the centre of Barcelona. Despite the positive results, considerable disparities exist between the inner and outer city, with a notable decline in sustainable mobility practices in the latter, due to the uneven distribution of basic services and uneven provision of public transport, together with lower density areas. Our results demonstrate that this uneven distribution reduces the available sequence profiles of inhabitants. In conclusion, the promotion of sustainable mobility policies necessitates further advances in transport, city and land-use planning that consider equity, gender, the socioeconomic profiles of citizens and mixed urban planning.

One-size measures do not fit all areas: Evaluation of area-specific control of foot and mouth disease in Thailand using bioeconomic modelling

Information on the epidemiological and economic consequences of control measures is fundamental to design effective foot and mouth disease (FMD) control measures. One approach to obtaining this information is through bioeconomic modelling. In this study, a bioeconomic model was used to evaluate FMD control in two different study areas in Thailand: a high farm density area predominantly consisting of dairy farms and a low farm density area with mixed farm types. The bioeconomic model consists of an epidemiological part and an economic part. For the epidemiological part, a stochastic between-farm transmission model was constructed with transmission parameters estimated from FMD outbreaks in Thailand. The outputs from the epidemiological model, i.e. the number of infected farms, the number of affected farms and the outbreak duration, are used as inputs for economic model to calculate the economic consequences. We applied the simulation model with four FMD control measures: culling the animals of infected farms, ring vaccination, animal movement restrictions and isolation of infected farms. Furthermore, we included effect of farmers' compliance to asses its effect on control measures. The simulated FMD outbreaks in the low farm density area were small, thus control measures did not greatly affect the size of outbreaks and, therefore, did not have a positive economic return. In contrast, in the high farm density area, FMD outbreaks were large without control measures. All measures reduced the size of the outbreaks but resulted in different total costs. In terms of outbreak control, culling infectious farms was the best option, but its total cost was higher than ring vaccination or isolation of infected farms. In terms of cost-effectiveness, ring vaccination was the best measure. If farmers' compliance were low, all control measures would be ineffective, resulting in high total cost of the outbreak. The cost distribution between compliant and non-compliant farms showed that non-compliant farms paid more than compliant farms, except for the ring vaccination scenario. The results emphasize the economic significance to customize control measures specific to the area's conditions and highlight the importance of farmers' compliance when designing control measures.

Mesocarnivores in residential yards: influence of yard features on the occupancy, relative abundance, and overlap of coyotes, grey fox, and red fox

Context As conversion of natural areas to human development continues, there is a lack of information about how developed areas can sustainably support wildlife. While large predators are often extirpated from areas of human development, some medium-bodied mammalian predators (hereafter, mesocarnivores) have adapted to co-exist in human-dominated areas. Aims How human-dominated areas such as residential yards are used by mesocarnivores is not well understood. Our study aimed to identify yard and landscape features that influence occupancy, relative abundance and spatial-temporal overlap of three widespread mesocarnivores, namely, coyote (Canis latrans), grey fox (Urocyon cineroargenteus) and red fox (Vulpes vulpes). Methods Over the summers of 2021 and 2022, we deployed camera-traps in 46 and 96 residential yards, spanning from low-density rural areas (<1 home per km2) to more urban areas (589 homes per km2) in north-western Arkansas, USA. Key results We found that mesocarnivore occupancy was marginally influenced by yard-level features as opposed to landscape composition. Fences reduced the occupancy probability of coyotes, although they were positively associated with the total area of potential shelter sites in a yard. We found that relative abundance of grey fox was highest in yards with poultry, highlighting a likely source of conflict with homeowners. We found that all three species were primarily nocturnal and activity overlap between the species pairs was high. Conclusions Thus, these species may be using spatio-temporal partitioning to avoid antagonistic encounters and our data supported this, with few examples of species occurring in the same yards during the same 24-h period. Implications As the number of residential yards continues to grow, our results suggested that there are ways in which our yards can provide resources to mesocarnivores and that homeowners also have agency to mitigate overlap with mesocarnivores through management of their yard features.

Spatial and seasonal variations of atmospheric microplastics in high and low population density areas at the intersection of tropical and subtropical regions

There is limited information regarding spatial and seasonal variations of atmospheric microplastics (MPs) and factors influencing MPs at the intersection of tropical and subtropical regions. A one-year study was conducted at sites in a high-population-density village (HPDV) and a low-population-density village (LPDV) in Taiwan to investigate the characteristics and influencing factors of airborne MPs. The predominant shapes, sizes, and polymer compositions of MPs were fragments, 3 to 25 and 26–50 μm, and polyamide at both sites. Seasonal variation in MP morphologies was not significant. Average MP concentrations were 2.20 ± 2.97 particles/m3 and 1.92 ± 2.35 particles/m3 at the HPDV and LPDV sites, respectively, and did not differ significantly. Higher concentrations and smaller sizes of MPs were found during the summer at both sites, while the predominant wind direction was southerly or southwesterly. In samples with temperatures exceeding 25 °C, the temperature was positively associated with MP concentrations at both the HPDV and LPDV sites. These results reflect that temperature influences the variations in the concentrations and sizes of MPs at our study site. Future research should consider the adverse risks of MP inhalation during the hot season. Moreover, when sites with different population densities and levels of human activity are closed, MP concentrations will not differ significantly between these areas since airflow can transport these particles from high-population-density areas into low-population-density areas in a short time.

Assessment and Modelling of Walk Trips in Akure, Nigeria

The study examined and modeled the walking behavior patterns of residents in Akure, Nigeria. A multi-stage sampling approach was used to collect relevant data for assessing and modeling the walking trip patterns. The questionnaires were administered to 300 participants between May to November 2019 (6 months) across three primary residential neighborhoods in the city; high-density, medium-density, and low-density areas. The obtained data were analyzed using SPSS software and subsequently modeled using multi-variable regression techniques. The study found that 48.7% of the sampled population preferred to walk, and 49.7% perceived walking as an alternative to motorized trips. Significant differences were observed in the socioeconomic characteristics of residents, such as age and income, across the residential zones (F = 54.731, p<0.001; F = 68.278, p<0.001). The key factors that greatly influenced decision of respondents to walk included socioeconomic factors, such as income, personal car ownership, educational qualifications, and employment status, with age and sex being the least significant socioeconomic determinants. Generally, the factors that motivated respondents to choose walking as a travel mode included its relative affordability, the lack of personal vehicles, awareness of health benefits, safety and security concerns, avoidance of motorized traffic congestion, and favorable weather conditions. The findings of this study have important implications for transportation planning. The paper recommends the need to incorporate non-motorized spaces and walkways into various levels of urban planning and implementation to foster a more walkable environment and encourage active transportation in the city.

EIF6 deficiency regulates gut microbiota, decreases systemic inflammation, and alleviates atherosclerosis.

Altered composition of the gut microbiota affects immunity and metabolism. This study previously found that eIF6 gene knockdown changes the composition of the intestinal flora in the eIF6 gene knockdown mouse model. Lactobacillus acidophilus is significantly increased in the model. This study was designed to investigate the role of L. acidophilus in the pathogenesis of atherosclerosis. Transcriptomic data from 117 patients with coronary artery disease (CAD) and 79 healthy individuals were obtained. ApoE-/- and ApoE-/-/eIF6+/- mice on normal chow diet or a high-fat diet were treated for 16 weeks; eIF6 deficiency was evaluated atherosclerosis. ApoE-/- mice on normal chow diet or a high-fat diet were treated with L. acidophilus by daily oral gavage for 16 weeks. Moreover, one group was treated with lipopolysaccharide at 12 weeks. The levels of eIF6, RNASE3, and RSAD2 were notably higher in the patients with CAD than in the healthy individuals. eIF6 deficiency altered the composition of gut microbiota. eIF6 deficiency reduced the atherosclerotic lesion formation in ApoE-/-/eIF6+/- mice compared with the ApoE-/- mice. The microbial sequencing and metabolomics analysis demonstrated some beneficial bacterial (L. acidophilus, Ileibacterium, and Bifidobacterium) and metabolic levels significantly had deference in ApoE-/-/eIF6+/- mice compared with the ApoE-/- mice. Correlational studies indicated that L. acidophilus had close correlations with low-density lipoprotein cholesterol, lesion area, and necrotic area. L. acidophilus inhibited high-fat diet-induced inflammation and atherosclerotic lesion, increasing the expression of tight junction proteins (ZO-1 and claudin-1) and reducing the gut permeability. However, lipopolysaccharide reversed the protective effect of L. acidophilus against atherosclerosis. eIF6 deficiency protected against atherosclerosis by regulating the composition of gut microbiota and metabolites. L. acidophilus attenuated atherosclerotic lesions by reducing inflammation and increasing gut permeability.IMPORTANCEeIF6 deficiency modulates the gut microbiota and multiple metabolites in atherosclerotic ApoE-/- mice. L. acidophilus was reduced in the gut of atherosclerotic ApoE-/- mice, but administration of Lactobacillus acidophilus reversed intestinal barrier dysfunction and vascular inflammation. Our findings suggest that targeting individual species is a beneficial therapeutic strategy to prevent inflammation and atherosclerosis.

Patterning in stratified epithelia depends on cell-cell adhesion.

Epithelia consist of proliferating and differentiating cells that often display patterned arrangements. However, the mechanism regulating these spatial arrangements remains unclear. Here, we show that cell-cell adhesion dictates multicellular patterning in stratified epithelia. When cultured keratinocytes, a type of epithelial cell in the skin, are subjected to starvation, they spontaneously develop a pattern characterized by areas of high and low cell density. Pharmacological and knockout experiments show that adherens junctions are essential for patterning, whereas the mathematical model that only considers local cell-cell adhesion as a source of attractive interactions can form regions with high/low cell density. This phenomenon, called cell-cell adhesion-induced patterning (CAIP), influences cell differentiation and proliferation through Yes-associated protein modulation. Starvation, which induces CAIP, enhances the stratification of the epithelia. These findings highlight the intrinsic self-organizing property of epithelial cells.

Present State in the Development of Aerogel and Xerogel and their Applications for Wastewater Treatment: A Review

Abstract: This comprehensive analysis investigates the current state of development and emerging applications of aerogels and xerogels in wastewater treatment. Aerogels and xerogels, which are characterized by their distinctive porosity architectures and extraordinary material qualities (low density and high surface area), have received much interest in recent years for their potential to transform the field of wastewater treatment. In this study, we present a complete overview of the synthesis processes and structural properties of these materials, highlighting current advancements and innovations. As adsorbents, catalysts, thermal insulation materials, or drug delivery matrices, they have been employed in a number of different disciplines. Aerogels and xerogels have demonstrated their adsorption capability by effectively collecting a wide spectrum of pollutants contained in wastewater. These include the removal of potentially hazardous and deleterious components such as metal ions and organic dyes, which are prevalent in wastewater streams, as well as other organic compounds. Our analysis not only covers the synthesis and applications of aerogels and xerogels, but it also highlights eco-friendly synthesis alternatives, in line with the growing demand for sustainable material preparation methods. Against the backdrop of rising global water concerns, this analysis highlights the promising potential of these materials to play a crucial role in providing sustainable wastewater treatment solutions, thereby establishing a critical future goal.

Improved Cuckoo Search Optimization And Transductive Support Vector Machine Algorithm For E-Learning Recommendation System

Introduction: Growing numbers of students opt for self-learning via the Internet, an established e-learning approach, as a result of the popularity and advancement of data search technology. A challenge for e-learning has constantly been the ability to learn different knowledge items methodically and effectively in a certain topic because the majority of the learning material on the network is dispersed. Still, the existing system has issue with higher error rate and computational complexity. Methods: To overcome this problem, Improved Cuckoo Search Optimization (ICSO) andTransudative Support Vector Machine (TSVM) algorithm were introduced. The main steps of this research are such as pre-processing, clustering, optimization and e- learning recommendation. Results: Initially, the pre-processing is performed utilizing K-Means Clustering (KMC) which is focused to deal with noise rates effectively. Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is used to cluster data where data space’s dense objectregions are examined to divide low-density areas. In the improved DBSCAN method, density reachability and density connectedness are used. Then, ICSO algorithm is applied to fine tune the parameters using best fitness values. Conclusion: Finally, the classification of recommendation system is done by using TSVM algorithm which more precise outcomes for the specified datasets. According to the findings, the recommended ICSO-TSVM approach excels the existing ones regards to higher accuracy, recall, precision, mean absolute error (MAE), and also time difficulty

Quantitative gradient recalled echo (qGRE) MRI enables in vivo measurement of pre-atrophic neurodegeneration in a mouse model of Alzheimer's disease

Robust methods are needed for preclinical evaluation of novel Alzheimer Disease (AD) therapies to accelerate drug discovery. Quantitative Gradient Recalled Echo (qGRE) MRI has shown promise to provide insight into neurodegeneration in AD prior to atrophy development in humans, highlighting areas of low neuronal density. In this study a novel qGRE method (20 echoes, TE=2-40ms) is shown to non-invasively measure the longitudinal neuronal loss in the hippocampus of a mouse model of AD tauopathy Tg4510.Tg4510 (n=10) and wild type (WT, n=6) mice underwent MRI (7T field strength) at 3-7 months old. 3D qGRE approach was used to generate brain-specific R2* maps free of magnetic field inhomogeneity artifacts. Light-sheet microscopy of the brains stained with NeuN and MBP served to visualize neuronal nuclei and myelin content respectively.Significant decrease in NeuN staining between 3mo and 5mo was observed in the hippocampus of Tg4510, validating the mouse AD model.Longitudinal analysis showed clear decreases in R2* metric of qGRE signal in the Tg4510 mice hippocampus undergoing neurodegeneration between 3 and 5 months old. Histogram analysis revealed an upward trend in patterns of low R2* value (Dark Matter, DM), and broadening of R2* distribution. These were quantified as significant increase in both DM Volume Fraction (DMVF) and R2* Standard Deviation (SD) in Tg4510 mice (p=0.004/p=0.016 DMVF/SD) but not in WT controls (p>0.25). Further monotonical increase was also observed in both metrics in time. A significant negative correlation was observed between the DMVF and myelin content (p=0.01, r=-0.76), suggesting sensitivity of the technique to the loss of myelinated axons.The presented qGRE technique, validated by histological measurements, can be readily applied as in vivo tool in preclinical models of neurodegeneration for pharmacodynamics and mechanism of action assessment.

Lithospheric resistivity structure of the Xuefeng Orogenic Belt and its implications for intracontinental deformation in South China

The Xuefeng Orogenic Belt (XFOB), located in the central part of the South China Block, is a typical Mesozoic intracontinental orogen in the central Jiangnan Orogenic Belt. By collecting magnetotelluric (MT) data across the XFOB, we obtained the resistivity structure of the lithosphere, which sheds light on the Mesozoic intracontinental orogenic processes in the XFOB. The resistivity structure reveals a low-resistivity body (<10 Ω∙m), beneath the XFOB, dipping southeast wards from a depth of 10 km to the bottom of the crust. This conductor is interpreted as a relic of the lower detachment zone, which coincides with low-density areas obtained from joint inversion of seismic models. It is believed to result from mineral fluids migrating along the thrust fault and squeezing sulfides into folds. Four low-resistivity bodies were identified at three extensional locations along the Jiangshan-Shaoxing Fault and at the Cili-Baojing Fault. The low-resistivity body (<10 Ω∙m) at the junction of the Shaoyang and the Hengyang Basin is located at the point where the Moho depth thins. The variation trend of the terrestrial heat flow values, with this low-resistivity body as the plate boundary, is consistent with the average variation of the terrestrial heat flow values within the block. We propose that the low-resistivity body under the Qidong-Yongzhou-Guilin fault conforms to the characteristics of the suture zone in the resistivity structure. Its existence indicates that the missing location of the Jiangshan-Shaoxing suture zone of the Yangtze and Cathaysia Block in the middle-southwest section of the South China Block is the Qidong-Yongzhou-Guilin fault. The Yangtze Block and the Hengyang Basin show high resistivity, the depth of which reaches 100 km and 40 km, respectively. Based on the resistivity model and geological data, the XFOB experienced Triassic compression, leading to basement decollement, thrusting, and nappe structures due to low-angle Paleo-Pacific Plate subduction. This compression also led to the uplift of the orogenic belt. Moreover, under the tension caused by the high-angle retreat of the Paleo-Pacific Plate, the Cretaceous extensional tectonics led to detachment along the thrust faults, forming half-graben and basin structures along the margins.