bluuebunny/crossref_metadata_2025 huggingface dataset:
Long-Term Use of Silybum marianum fruit extract Contributes to Homeostasis in Acne-Prone Skin—A 12-Month Follow-Up International “Real Life” Cohort Study
Authors: Saurat Jean-Hilaire , Reygagne Pascal , Josse Gwendal , Hamidou Zhorha , Bianovici Sophie , Ramel Francoise , Durbise Elizabeth , Lovati Chiara , Bellani Eleonora , Bystrzanowska Dorota , Chlebus Ewa , Kowalska-Oledzka Elzbieta , D’Auzers Guillaume , Le Digabel Jimmy , Filiol Jerome , Lauze Christophe , Ortiz-Brugues Ariadna , Nocera Therese
Published: January 2023

Background: Homeostasis in the differentiation programme of sebaceous stem cells has been identified as a key step in comedogenesis and should be a target for acne-prone skin care. Objective: To report on a multicentre, year-long/real-life use study of a patented natural product containing S. marianum fruit extract proven to modulate molecular actors in the initial steps of comedogenesis. Methods: An open-label multicentric international study, with a 12 month follow-up, included 54 teenage and young adult subjects with mild to moderate facial acne. The study was aimed at reproducing a real-life use context. Results: Total lesion count mean was 88.3 at inclusion. There was a sustained, highly significant decrease over the months of clinical lesion counts (45.6% improvement after 6 months and 59.6% at 12 months) and on other efficacy markers, associated with a significant decrease in global microcomedone quantity on cyanoacrylate superficial skin surface biopsies. Importantly, the study protocol allowed the dermatologist to prescribe, if needed as in real life, any of the acne drugs registered in the acne guidelines. The exposure to these acne drugs during the whole year was calculated as a percentage of S. marianum fruit extract/352 days of use and happened to be very limited at less than 4%, which indicates a marginal contribution to the sustained clinical improvement. (Oral and local acne treatments: Lymecycline 1.46%; Doxycycline 0.24%; Adapalene 0.16% or gel association with Benzoyl peroxide 1.17%; Clindamycin 0.04%; Benzoyl peroxide 1.5%; Erythromycin 0.75%). The tolerance with daily S. marianum fruit extract long-term use was good. Limitations: The association with routine prescription acne drugs when needed, even if limited, does not allow a full evaluation of the intrinsic quantitative efficacy of S. marianum fruit extract in lesion reduction. Conclusion: This open, real-life, year-long multicentre study confirms a previous 48-week proof of concept study and qualifies the use of S. marianum fruit extract as a “field-dermo cosmetic” contributing to homeostasis of acne-prone skin in association with acne drugs.
Medical and Surgical Strategies in Vulvar Paget Disease: Let’s Throw Some Light!
Authors: Della Corte Luigi , Cafasso Valeria , Conte Carmine , Cuomo Lara , Giampaolino Pierluigi , Lavitola Giada , Bifulco Giuseppe
Published: January 2023

Background: Vulvar Paget’s disease (VPD) is defined as a neoplasm of epithelial origin, mostly in postmenopausal women. Due to the extreme rarity of VPD, limited data about recommended treatment options are available. Surgical excision has been the treatment of choice although in the recent decade medical treatments have been proposed. Methods: A systematic computerized search of the literature was performed in the main electronic databases (MEDLINE, EMBASE, Web of Science, PubMed, and Cochrane Library), from 2003 to September 2022, in order to analyze all medical and surgical strategies used for the treatment of VPD. Results: Thirty-four articles were included in this review with findings as follows: 390 patients were treated with medical or other conservative treatment while 2802 patients were treated surgically; 235/434 (54%) patients had a complete response, 67/434 (15%) a partial response, 10/434 (2.3%) a stable disease, 3/434 (0.7%) disease progress, 3/434 (0.7%) died of the disease, 55/434 (13%) died of other causes during follow up while 7/434 (1.6%) had to stop topical treatments with 5% imiquimod cream because of side effects; 239/434 patients (55%) had a recurrence and 11/434 (2.5%) were lost to follow-up. The length of follow-up was variable, according to the different studies analyzed. Conclusion: VPD is a chronic disease with a high recurrence rate and low mortality. There are no significant differences in recurrence rates in patients who undergo surgery and those who do not and the margin status at the time of primary surgery and recurrence. Several surgical and medical approaches providing both local control of the disease and minimal tissue damage have been developed. Clock mapping, a recent preoperative vulvo-vaginal workup tool, can predict the invasiveness and the extension of VPD. However, to date, due to the different treatment options available and in the absence of a global consensus, it is critical to tailor treatments to individual patient characteristics and biopsy histopathologic findings, to ensure the best type of therapy.
Preoperative Immunocite-Derived Ratios Predict Surgical Complications Better when Artificial Neural Networks Are Used for Analysis—A Pilot Comparative Study
Authors: Patrascu Stefan , Cotofana-Graure Georgiana-Maria , Surlin Valeriu , Mitroi George , Serbanescu Mircea-Sebastian , Geormaneanu Cristiana , Rotaru Ionela , Patrascu Ana-Maria , Ionascu Costel Marian , Cazacu Sergiu , Strambu Victor Dan Eugen , Petru Radu
Published: January 2023

We aimed to comparatively assess the prognostic preoperative value of the main peripheral blood components and their ratios—the systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR)—to the use of artificial-neural-network analysis in determining undesired postoperative outcomes in colorectal cancer patients. Our retrospective study included 281 patients undergoing elective radical surgery for colorectal cancer in the last seven years. The preoperative values of SII, NLR, LMR, and PLR were analyzed in relation to postoperative complications, with a special emphasis on their ability to accurately predict the occurrence of anastomotic leak. A feed-forward fully connected multilayer perceptron network (MLP) was trained and tested alongside conventional statistical tools to assess the predictive value of the abovementioned blood markers in terms of sensitivity and specificity. Statistically significant differences and moderate correlation levels were observed for SII and NLR in predicting the anastomotic leak rate and degree of postoperative complications. No correlations were found between the LMR and PLR or the abovementioned outcomes. The MLP network analysis showed superior prediction value in terms of both sensitivity (0.78 ± 0.07; 0.74 ± 0.04; 0.71 ± 0.13) and specificity (0.81 ± 0.11; 0.69 ± 0.03; 0.9 ± 0.04) for all the given tasks. Preoperative SII and NLR appear to be modest prognostic factors for anastomotic leakage and overall morbidity. Using an artificial neural network offers superior prognostic results in the preoperative risk assessment for overall morbidity and anastomotic leak rate.
COVID-19 and New-Onset Psychosis: A Comprehensive Review
Authors: Moccia Lorenzo , Kotzalidis Georgios D. , Bartolucci Giovanni , Ruggiero Sara , Monti Laura , Biscosi Marco , Terenzi Beatrice , Ferrara Ottavia M. , Mazza Marianna , Di Nicola Marco , Janiri Delfina , Simonetti Alessio , Caroppo Emanuele , Janiri Luigi , Sani Gabriele
Published: January 2023

Psychosis is a multifactorial condition that typically involves delusions, hallucinations, and disorganized thought, speech or behavior. The observation of an association between infectious epidemics and acute psychosis dates back to the last century. Recently, concerns have been expressed regarding COVID-19 and the risk for the development of new-onset psychosis. This article reviewed the current evidence of a possible link between SARS-CoV-2 and risk of psychosis as an acute or post-infectious manifestation of COVID-19. We here discuss potential neurobiological and environmental factors as well as a number of challenges in ascribing a causal pathogenic relationship between SARS-CoV-2 infection and new-onset psychosis.
Lackluster Adoption of Cryptocurrencies as a Consumer Payment Method in the United States—Hypothesis: Is This Independent Technology in Need of a Brand, and What Kind?
Authors: Kowalski Luke , Green William , Lilley Simon , Panourgias Nikiforos
Published: January 2023

Cryptocurrencies were supposed to replace traditional payment methods when they were invented over 13 years ago, but adoption by the general consumer is still lacking, at least in the United States. Instead, crypto is often used as a speculative investment, by illicit actors, or for use cases unrelated to everyday purchases. A literature review on general adoption barriers and interviews with experts has only unearthed factors like usability, performance, and political drivers, among other barriers. Brand as an adoption barrier is mostly missing from literature, at least for cryptocurrencies. This led to the formation of a hypothesis related to crypto’s lack of adoption as a payment method. A framework is being designed based on the technology adoption model to find out if “brand” has an impact on cryptocurrency adoption, which was paradoxically designed to be brandless and not needing any institutional trust. The intent is to focus on what “Bitcoin 2.0” might look like, and to also delve further and gauge perceptions about various types of brands getting involved in the next generation of cryptocurrencies, including traditional banks, governments, technology companies, and also some of the decentralized and hybrid consortia currently vying to get consumers to use stablecoins, nation-issued cryptocurrencies, and other forms of digital instruments. While other studies had focused on trust, early adopter usability, or performance of blockchain networks, this work intends to focus on the general consumer’s perceptions about digital money, and the types of brands and evolution of this instrument liable to increase uptake.
AI-Based Techniques for Ad Click Fraud Detection and Prevention: Review and Research Directions
Authors: Alzahrani Reem A. , Aljabri Malak
Published: January 2023

Online advertising is a marketing approach that uses numerous online channels to target potential customers for businesses, brands, and organizations. One of the most serious threats in today’s marketing industry is the widespread attack known as click fraud. Traffic statistics for online advertisements are artificially inflated in click fraud. Typical pay-per-click advertisements charge a fee for each click, assuming that a potential customer was drawn to the ad. Click fraud attackers create the illusion that a significant number of possible customers have clicked on an advertiser’s link by an automated script, a computer program, or a human. Nevertheless, advertisers are unlikely to profit from these clicks. Fraudulent clicks may be involved to boost the revenues of an ad hosting site or to spoil an advertiser’s budget. Several notable attempts to detect and prevent this form of fraud have been undertaken. This study examined all methods developed and published in the previous 10 years that primarily used artificial intelligence (AI), including machine learning (ML) and deep learning (DL), for the detection and prevention of click fraud. Features that served as input to train models for classifying ad clicks as benign or fraudulent, as well as those that were deemed obvious and with critical evidence of click fraud, were identified, and investigated. Corresponding insights and recommendations regarding click fraud detection using AI approaches were provided.
Land Use and Global Environmental Change: An Analytical Proposal Based on A Systematic Review
Authors: Dias Felipe Teixeira , Mazon Gisele , Cembranel Priscila , Birch Robert , de Andrade Guerra José Baltazar Salgueirinho Osório
Published: January 2023

Global environmental changes are multifactorial and affected by multiple forms of land use. For this reason, and also in view of the current world climate scenario, they have become highly relevant and are subject to analysis and discussions on the best uses of land. The research presented here offers a systematic analysis on the priorities related to the multiple uses of land and their implications in urban planning. An exploratory and descriptive analysis is used with a qualitative approach based in a systematic literature review. General findings indicate that land uses arise amid the duality between economy and environmental concerns, while increasing frequencies of heat islands, desertification, suppression of green areas in cities, and other phenomena are the backdrop. Urban planning tied to social and environmental dynamics becomes a powerful engine to predict rational uses of the land, enabling and balancing the economic–environmental dynamics without overriding each other. Proper planning of urban land governs both the infrastructure itself and the human influence over space in addition to predicting future uses and disuse as well as actions not consistent with sustainable development.
Simulation and Analysis of Land-Use Change Based on the PLUS Model in the Fuxian Lake Basin (Yunnan–Guizhou Plateau, China)
Authors: Ma Guoqiang , Li Qiujie , Zhang Jinxiu , Zhang Lixun , Cheng Hua , Ju Zhengping , Sun Guojun
Published: January 2023

It is essential to study the characteristics of land use change in the Fuxian Lake basin, a plateau lake in Yunnan Province, and to predict the basin’s future trend of land use change for sustaining the key carriers of current national major strategies such as ecological civilization, green development, and rural revitalization. This study used the Fuxian Lake basin as the subject and based on the seven periods of historical land use data, added six driving factors including human and natural factors, applied patches to generate the land-use simulation model (PLUS), and forecasted and analyzed the characteristics of land-use change in the basin in 2048 under the three scenarios of natural trend development, ecological protection, and production protection. The results showed that: (1) the overall simulation accuracy of the model was 79.14%, Kappa index was 0.73, FOM value was 0.29, and the model’s consistency was high. The model can be used to simulate future land-use changes in the Fuxian Lake basin. (2) In the natural development scenario, land-use development and the driving factors in the basin have the following relationship: rainfall and trunk road distance significantly impacted the types of land that emphasize ecological conservation and product development. Elevation and soil distribution characteristics had a significant impact on land types focused mainly on water zones and ecological protection. The land types mainly focused on urban construction were greatly affected by elevation, trunk road distance, GDP per capita, and other factors. (3) The main direction of land-use change in the watershed is the mutual conversion between farmland and forest land, with the continuous expansion of construction land. In the production protection scenario, the area of farmland increased by 44.79 hm2. In the ecological protection scenario, the area of arbor forest land increased by 37.85 hm2 and the area of shrub forest land decreased by 62.37 hm2. (4) From the perspective of spatial distribution patterns, the regional hotspot change blocks are mainly concentrated in the north of the basin, along the coast of the north of Fuxian Lake, and the southern land. In general, the PLUS model had good applicability in this study. The simulation results of the different scenarios were in line with the land development in the Fuxian Lake basin and can provide scientific reference for land-space planning, ecological and production land constraints, and coordination of development in the Fuxian Lake basin.
Influences of Meteorological Factors on Maize and Sorghum Yield in Togo, West Africa
Authors: Affoh Raïfatou , Zheng Haixia , Zhang Xuebiao , Yu Wen , Qu Chunhong
Published: January 2023

This paper explores the effect of meteorological factors such as rainfall, temperature, sunshine, wind speed, and relative humidity on the yield of maize (Zea mays L.) and sorghum (Sorghum bicolor L.) at different growth stages in Togo’s Plateau, Central, and Savannah regions. For this purpose, data from 1990 to 2019 on weather variables and maize and sorghum yields were used. The study applied Fisher’s meteorological regression and Chebyshev polynomial function. Our findings revealed that rainfall had a more beneficial than detrimental effect on maize and sorghum yield across stages and regions. Contrariwise, temperature influence was as beneficial as detrimental and more significant across all growth stages of maize and sorghum in the Savannah and Plateau regions. Furthermore, the sunshine effect on maize yield was more significant in the Central and Savannah regions, while negative on sorghum yield in all the growth stages in the Central region. Similarly, the wind speed was also beneficial and detrimental to maize and sorghum yields, although it was more significant for sorghum in Plateau and Savannah regions. Lastly, relative air humidity positively and negatively influenced maize and sorghum yields in all the growth stages and regions for maize and the Plateau and Savannah regions for sorghum. Therefore, there is a need for real-time agricultural meteorological information to help farmers plan crop production more efficiently and increase crop yield.
A Simulation-Based Study on the Coupling Coordination of Farmers’ Livelihood Efficiency and Land Use: A Pathway towards Promoting and Implementing the Rural Development and Rural Revitalization Strategy
Authors: Su Fang , Chang Jiangbo , Shang Haiyang , Fahad Shah
Published: January 2023

The interaction process between farmers’ livelihood and land use is a core link between the interaction and the coupling of the human–land system. It is a complex evolutionary process that involves several issues such as resource-intensive utilization and economic development. This study first constructs a dynamic model of the coupling system of farmers’ livelihood efficiency and land use and designs two types of 31 scenarios based on the farmer’s livelihood mode and land use. This study further simulates the coupling coordination relationship in different scenarios and then proposes suggestions for sustainable development. The findings of our study show that with the development of time, the livelihood capital, livelihood output, and land use level first showed a decline and then an increase. The results also reveal that livelihood efficiency and coordination degree are related to the livelihood mode and land use mode of farmers, while the land use level is not significantly associated with the livelihood mode of farmers. Pure-agriculture farmers have the lowest livelihood efficiency and coordination degree when they have no planting and breeding poultry, while part-time farmers have the highest land use level and coordination degree when they plant cash crops and breeding livestock. Besides, non-agriculture farmers have the highest livelihood efficiency and the lowest land use level when they neither plant crops nor breed livestock. To improve the level of coupling coordination, it is necessary not only to flexibly adjust the farmer’s livelihood and land use mode but also to optimize the allocation of various resources to promote the coordinated and sustainable development of farmers.
Assessing the Impact of Selected Attributes on Dwelling Prices Using Ordinary Least Squares Regression and Geographically Weighted Regression: A Case Study in Poznań, Poland
Authors: Chwiałkowski Cyprian , Zydroń Adam , Kayzer Dariusz
Published: January 2023

The price of dwellings is determined by a number of attributes among which location factors are usually the most important. Comprehensive analyses of the real estate market should take into account a broad spectrum of attributes including economic factors, physical, neighborhood and environment characteristics. The primary objective of the study was to answer the question of what determinants affect transaction prices within the housing market in Poznań. The analysis was performed on the basis of source data obtained from the Board of Geodesy and Urban Cadastre GEOPOZ in Poznań. In our study, we used two research regression methods: ordinary least squares and geographically weighted regression. The estimated models made it possible to formulate specific conclusions related to the identification of local determinants of housing prices in the Poznań housing market. The results of the study confirmed that the use of the proposed techniques makes it possible to identify attributes relevant to the local market, and, moreover, the use of spatial analysis leads to an increase in the quality of the description of the characteristics of the analyzed phenomenon. Finally, the results obtained indicate the diversity of the analyzed market and highlight its ambiguity and complexity.
Siting Renewable Energy Facilities Using a Matching Algorithm: A Case Study in Japan
Authors: Irie Noriko , Iwamura Ryusei , Sugiura Kaho , Kawahara Naoko
Published: January 2023

Finding an optimal match between installation sites and renewable energy (RE) facilities while ensuring that private initiatives meet local socio-environmental needs is a significant albeit complicated task. Different sites may need diverse considerations, such as landscape conservation, while information on the true local preferences and costs of RE facilities is unknown to the planner, causing information asymmetry and inefficiency. This study explores how a matching model can be utilised for empirically planning RE siting using an illustrative case study. It employs the so-called ‘college admission problem’ of the matching model. The matching algorithm enables the matching of sites and RE specifications, reflecting the true preferences of local people regarding facility siting. The matching result would ensure the most desirable choice for local people, as adopting the ‘student-optimal matching’ algorithm generates desirable matching patterns for the locals among the stable matching patterns.
Visual Preference Analysis and Planning Responses Based on Street View Images: A Case Study of Gulangyu Island, China
Authors: Huang Jingxiong , Liang Jiaqi , Yang Mengsheng , Li Yuan
Published: January 2023

The features of a street environment play an essential role in human behavior, but predicting the preferred environment becomes challenging for city planning. This paper takes Gulangyu Island as an example and examines tourists’ visual preferences through street view images and a stated preference survey. Based on the findings, planning responses were proposed to provide references for improving tourists’ visual perception of the street’s environment. The results show that tourists’ preferences for the street environment are significantly affected by visual features. From highest to lowest are variety, the green view index, crowdedness, sky openness, and enclosure. The green view index, sky openness, and variety positively affect the visual utility, while crowdedness and enclosure have a negative effect. Among them, variety has the most potent positive effect on visual preference, while crowdedness has the most substantial negative effect. Moreover, there is a balance between green view and enclosure that is affected by green plants, and when the enclosure value is too high, the marginal effect of the green view index will be less effective. Last, the streets with high visual utility have an ideal natural environment, spacious roads, an open sky, and limited architecture.
Construction of Cultural Heritage Tourism Corridor for the Dissemination of Historical Culture: A Case Study of Typical Mountainous Multi-Ethnic Area in China
Authors: Huang Yihe , Shen Shouyun , Hu Wenmin , Li Yurou , Li Guo
Published: January 2023

The conservation and utilization of cultural heritage resources play a crucial role in the sustainable development of regional tourism in mountainous multi-ethnic areas. Nevertheless, these heritage resources tend to be numerous and geographically dispersed, poorly accessible, and difficult to preserve and utilize, which makes utilizing them holistically at a regional level challenging. Furthermore, each cultural heritage has a specific capacity for cultural dissemination, and establishing the links between heritage sites can enhance the overall cultural influence of a region and promote the development of regional tourism. Consequently, this study aims to promote the conservation and utilization of cultural heritage by constructing a cultural landscape tourism corridor network in the region. A potential cultural landscape tourism corridor network was first constructed based on the least-cost path analysis. Then, the layout and hierarchy of the potential network were optimized based on the existing traffic layout in the area. Finally, for mountainous multi-ethnic areas with poor access to transportation, the tourism corridor network may support the holistic conservation and use of the region’s cultural heritage and the development of regional cultural tourism.
Land Use Transition and Its Ecosystem Resilience Response in China during 1990–2020
Authors: Liao Liuwen , Ma Enpu , Long Hualou , Peng Xiaojun
Published: January 2023

Land use transition and its eco-environmental effects are important research topics. Its essence is the process that human activities exert interference to the ecological environment in the process of social and economic development, and the ecosystem resists interference and recovers and adapts to interference. The article starts from the transition of land use dominant morphology and takes ecological resilience as the breakthrough point. Based on four periods of land use data, this article studied the spatio-temporal evolution of land use and ecological resilience and the response of ecological resilience to land use transition in China from 1990 to 2020. The results showed as follows: (1) During the study period, the construction land in China continued to increase, and the forest land, grassland, and farmland showed a fluctuating trend. (2) The spatial distribution pattern of ecological resilience showed the characteristics of “high in the southeast and low in the northwest”. The mean value and total value of ecological resilience in the region decreased first and then increased, taking 2010 as the dividing line. The difference in ecological resilience increased first and then decreased. (3) Ecological land and construction land are the main types of land that affect the changes in ecological resilience. The higher the proportion of ecological lands such as forest land, grassland, and waters, the smaller the variable coefficient of ecological resilience. The higher the proportion of construction land, the greater the difference in ecosystem elasticity among different types of areas.
Time Series Analyses and Forecasting of Surface Urban Heat Island Intensity Using ARIMA Model in Punjab, Pakistan
Authors: Mehmood Muhammad Sajid , Zafar Zeeshan , Sajjad Muhammad , Hussain Sadam , Zhai Shiyan , Qin Yaochen
Published: January 2023

In the context of rapid urbanization, Urban Heat Island (UHI) is considered as a major anthropogenic alteration in Earth environments, and its temporal trends and future forecasts for large areas did not receive much attention. Using land surface temperature (LST) data from MODIS (Moderate Resolution Imaging Spectro-radiometer) for years 2006 to 2020, we quantified the temporal trends of daytime and nighttime surface UHI intensity (SUHII, difference of urban temperature to rural temperature) using the Mann-Kendall (MK) trend test in six major cities of the Punjab province of Pakistan and estimated the future SUHII for the year 2030 using the ARIMA model. Results from the study revealed that the average mean SUHII for daytime was noted as 2.221 °C and the average mean nighttime SUHII was noted as 2.82 °C for the years 2006 to 2020. The average mean SUHII for daytime and nighttime exhibited increasing trends for all seasons and annually, and for the daytime spring season it showed a maximum upward trend of 0.486 °C/year (p < 0.05) and for the nighttime annual SUHII with an increasing rate of 0.485 °C/year (p < 0.05) which exhibited a maximum upward trend. The ARIMA model forecast suggested an increase of 0.04 °C in the average daytime SUHII and an increase of 0.1 °C in the average nighttime SUHII until 2030. The results from this study highlight the increasing trends of daytime and nighttime SUHII, ARIMA also forecasted an increase in daytime and nighttime SUHII, suggesting various strategies are needed for an effective mitigation of the UHI effect.
A Bibliometric Analysis of Current Knowledge Structure and Research Progress Related to Urban Community Garden Systems
Authors: Zheng Hua , Guo Min , Wang Qian , Zhang Qinghai , Akita Noriko
Published: January 2023

Community gardens offer broad research opportunities and analytical resources encompassing urban planning to environmental sustainability, food systems, and social capital. However, little is known about the knowledge structure and research development related to community gardens. This study presents an in-depth bibliometric performance analysis and visual scientific mapping analysis of the literature on community gardens by examining 487 published papers selected from the Web of Science database. The results indicated a considerable rise in research papers in this subject area from 2012 onwards, with most contributions from the United States. Studies from high-income countries accounted for 93.22%, and 38 countries have cooperated 167 times in this field. “Health” is the most frequent keyword, and the terms “ecosystem services” has been gaining popularity over the last five years. A combination of co-citation clustering and keyword co-occurrence clustering analysis identified three major research themes in the field of community gardens: “ecosystem services and disservices”, “multidimensional association”, and “sustainable garden systems”. The development of ecosystem value assessment frameworks, the establishment of region-wide soil monitoring databases, accounting for the cost-effectiveness of nature-based solutions, the integration of garden systems into smart cities, and the integration of water management into regulation will be important future research directions regarding community gardens. Overall, this study provides scholars with a systematic and quantitative understanding of community gardens.
Monitoring Long-Term Spatiotemporal Dynamics of Urban Expansion Using Multisource Remote Sensing Images and Historical Maps: A Case Study of Hangzhou, China
Authors: Lu Huan , Wang Ruiyang , Ye Rong , Fan Jinzhao
Published: January 2023

The spatiotemporal patterns of urban expansion have attracted worldwide attention and have been generalized into several prevalent hypotheses, such as the diffusion–coalescence hypothesis and the three-growth-type hypothesis. Although many studies have examined the applicability of these hypotheses, long-term research and evidence are still lacking. This study incorporated a compiled dataset of multisource remote sensing images and historical maps covering nine snapshots of the urban built-up area from 1914 to 2018 to monitor the urban expansion process in Hangzhou, China. A fractal analysis of the area–radius relationship was employed for areal demarcation to explore the heterogenous patterns across different intra-city spatial extents. The results show that (1) Hangzhou has experienced a turbulent period of primitive urbanization in the pre-reform era and a consecutive period of market-oriented urbanization after the economic reform; (2) the urban expansion pattern characterized by landscape metrics demonstrates the existence of multiple alternations between diffusion and coalescence phases with peculiarities across different intra-city spatial extents; (3) the analysis of urban growth types documents a consistent predominance of edge-expansion with wax and wane between infilling and leapfrogging; and (4) institutional reform, industrial development, and administrative division adjustment are the main drivers of urban expansion in Hangzhou. Our findings suggest that effective planning policies need to be raised to curb urban sprawl. Differentiated planning strategies should be proposed to accommodate unique conditions in different urban subregions. The integrated-analysis approach based on multisource remote sensing images and historical maps establishes a feasible pathway for long-term urban research.
Does Urban Agglomeration Discourage Entrepreneurship in China? Micro-Empirical Evidence from China
Authors: Li Wan , Sun Bindong , Han Shuaishuai , Jin Xiaoxi
Published: January 2023

As the net effect of agglomeration on entrepreneurship depends on the trade-off between positive and negative effects, urban agglomeration can either promote or discourage entrepreneurial activity in theory. However, there is an unexpected shortage of empirical confirmations on this potential cause-and-effect relationship. Our study strives to fill this empirical gap by providing credible evidence whether agglomeration, measured by the urban density or population, increases the probability of individuals being self-employed. Based on the China Labor-Force Dynamic Survey of 2012, 2014, and 2016, we find that big cities fail to facilitate individuals to start or run their own businesses. Further analyses illustrate that the entrepreneurs in large cities can be easily tempted by a wider range of salaried opportunities and are generally exposed to high fixed costs and intense competition. In contrast, entrepreneurship in large cities is of high reward. These results serve as direct evidence of the co-existence of agglomeration diseconomies and economies. This also suggests the direction of government policy in large cities, which is to alleviate, as much as possible, the negative impact on entrepreneurs.
Interaction of Management and Spontaneous Succession Suppresses the Impact of Harmful Native Dominant Species in a 20-Year-Long Experiment
Authors: Házi Judit , Purger Dragica , Penksza Károly , Bartha Sándor
Published: January 2023

Our study focused on the compositional changes of Pannonian semi-natural dry grasslands. The preservation of these valuable habitats requires regular management. Our mowing experiment aimed to study the suppression of the native dominant Calamagrostis epigejos L. Roth in mid-successional grasslands. Mowing was applied twice a year in eight permanent plots. The vegetation was sampled annually from 2001 to 2021. The impacts of mowing were tested using repeated–measures analysis of variance (ANOVA). After 10 years, the cover of C. epigejos in the mown plots decreased significantly, from an initial average cover of 56.6 to 5.6%. In 20 years, it declined to 1.3%. Surprisingly, in the control plots, it decreased also from 63.7 to 6.9%. Species richness was affected by mowing: significant differences between mown and control plots were detected from the eighth year of our experiment. However, species richness steadily increased in both treatment types from 15 to 36 in the mown plots and 18 to 25 in the control plots, indicating a combined effect of vegetation succession and treatment. Our results suggest that long-term in situ experiments and comprehensive botanical studies are necessary to provide a basis for multi-objective management and reliable utilization of grasslands.
Spatial Distribution of Urban Heritage and Landscape Approach to Urban Contextual Continuity: The Case of Suzhou
Authors: Jiang Jun , Zang Tongguang , Xing Jianglong , Ikebe Konomi
Published: January 2023

Suzhou, one of the most famous historical cities in China, has undergone significant urbanization over recent decades. These changes have caused a gradual separation of Suzhou’s urban heritage from its urban development and hindered the further growth of the city. This study analyzes the distribution of tangible and intangible heritages that constitute the context of Suzhou combined with the historic urban landscape approach to obtain the following conclusions: (1) The current distribution of Suzhou’s urban heritage does not completely overlap with the built-up area of the city, and the non-overlapping areas reveal the imbalance of the current urban development and the fracture of the context of Suzhou; this imbalance is still a blind spot in the planning process. (2) The use of intangible cultural heritage will help to establish the possibility of contextual continuation in areas that lack urban heritage. (3) Multi-use community spaces that carry the intangible cultural heritage are particularly important for new urban areas, as they can help urban residents understand the traditional way of life in the region. (4) An approach to heritage management that goes beyond elitism, in conjunction with residents and communities, will help the ancient city to find a better balance between contextual continuity and economic development.
Unveiling the Regional Differences and Convergence of Urban Sprawl in China, 2006–2019
Authors: Li Qixuan , Xu Ying , Yang Xu , Chen Ke
Published: January 2023

There is an obvious imbalanced regional development among eastern, central, and western China. This is also a fundamental problem that policy makers and planners need to address. Specific to urban development, we wondered whether there were regional differences in urban sprawl and whether this trend was under control. By using the urban sprawl index (USI), this paper investigated the spatiotemporal pattern of urban sprawl from 2006 to 2019, and its regional difference and convergence among eastern, central, and western China. It finds that the cities with high, medium, and low sprawl in the east and west regions are distributed with a clear geographical pattern, while the distribution in the central region has no intuitive geographical features. Also, the proportion of cities with high sprawl in the eastern region is more than that in the other regions, with low sprawl in central China and medium sprawl in the western region. Moreover, urban sprawl in all three regions showed a downward trend, but this process was fluctuating and had obvious phase characteristics. It can be concluded that there is a convergence trend in urban sprawl in China over the research period, and the club convergence effect exists in the eastern, central, and western regions.
Distribution of Four Vole Species through the Barn Owl Tyto alba Diet Spectrum: Pattern Responses to Environmental Gradients in Intensive Agroecosystems of Central Greece
Authors: Bontzorlos Vasileios , Vlachopoulos Konstantinos , Xenos Anastasios
Published: January 2023

Voles are the most common vertebrate pests in European agriculture. Identifying their distribution and abundance patterns provides valuable information for future management. Barn Owl diet analysis is one of the optimum methods used to record small mammal distribution patterns on large spatial scales. From 2003 to 2005, a total of 10,065 Barn Owl pellets were collected and analyzed from 31 breeding sites in the largest agroecosystem in Greece, the Thessaly plains. A total of 29,061 prey items were identified, offering deep insight into small mammal distribution, specifically voles. Four discrete vole species (Harting’s vole Microtus hartingi, East European vole Microtus levis, Thomas’s pine vole Microtus thomasi, and Grey dwarf hamster Cricetulus migratorius) comprised 40.5% (11,770 vole prey items) of the total Barn Owl prey intake. The presence and abundance of the voles varied according to underlying environmental gradients, with soil texture and type playing a major role. M. levis showed no significant attachments to gradients, other than a mild increase in Mollisol soils. It was syntopic in all sites with M. hartingi, which was the dominant and most abundant small mammal species, preferring non-arable cultivated land, natural grasslands, set-aside fields, and fallow land. M. thomasi was strictly present in western Thessaly and strongly associated with a sandy-clay soil texture and Alfisol soils. C. migratorius was the least represented vole (162 items), exclusively present in eastern Thessaly and demonstrating a stronger association with cereals, Mollisol soils, and an argillaceous-clay soil texture. This is the first study in Greece at such a large spatial scale, offering insights for pest rodents’ distribution in intensive agroecosystems and their response to environmental gradients including soil parameters.
Antioxidant, Anti-Inflammatory, and Analgesic Properties of Chemically Characterized Polyphenol-Rich Extract from Withania adpressa Coss. ex Batt
Authors: Salamatullah Ahmad Mohammad
Published: January 2023

The current work was undertaken to investigate the chemical composition, antioxidant, anti-inflammatory, and analgesic properties of a polyphenol-rich fraction from Withania adpressa Coss. ex Batt. After being extracted, the polyphenol-rich fraction was chemically characterized through use of high-performance liquid chromatography (HPLC). Antioxidant potency was assessed through the use of 2,2-diphenyl-1-picrylhydrazyl (DPPH) and total antioxidant capacity (TAC). Inflammatory and analgesic properties were assessed in vivo through the use of carrageenan and heat stimulus assays, respectively. Chromatographic analysis of polyphenol-rich fraction revealed the presence of potentially bioactive phenols including epicatechin, apigenin, luteolin, quercetin, caffeic acid, p-coumaric acid, and rosmarinic acid. The polyphenol-rich fraction showed interesting anti-free-radical potency with a calculated IC50 value of 27.84 ± 1.48 µg/mL. At the highest dose used (1000 µg/mL), the polyphenol-rich fraction scored good total antioxidant capacity with a calculated value of 924.0 ± 28.29 µg EAA/mg. The polyphenol-rich fraction strongly alleviated the inflammatory effect of carrageenan injected into the plantar fascia of rats resulting in inhibition up to 89.0 ± 2.08% at the highest tested dose (500 mg/kg). The polyphenol-rich fraction showed a good analgesic effect wherein the delay in reaction time to a thermal stimulus caused by 500 mg/kg had a highly similar effect to that induced by Tramadol used as a positive control. The findings of the current work highlight the importance of polyphenol-rich fractions from W. adpressa Coss. ex Batt. as an alternative source of natural antioxidant, inflammatory, and analgesic drugs to control relative diseases.
Predicting Factors for Seizures after Cerebral Venous Thrombosis: A Retrospective Single Center Cohort Study
Authors: Colò Francesca , Brunetti Valerio , Di Muro Mariangela , Rossi Elena , Bartolomei Francesca , Alexandre Andrea Maria , Bellavia Simone , Scala Irene , Słomka Artur , Pilato Fabio , Frisullo Giovanni , Broccolini Aldobrando , Della Marca Giacomo
Published: January 2023

Background: Seizures are a common complication of cerebral venous thrombosis. In this study, we intended to define clinical and neuroradiological factors associated with early and late seizures and predictors for seizure recurrence. Methods: The database of our high-volume tertiary stroke center was screened for patients diagnosed with cerebral venous thrombosis between April 2006 and July 2021. Demographics, clinical, imaging, and instrumental data were collected. Results: Out of a total of 80 patients, 30 had seizures, either within the first week after onset (22 patients) or after (8 patients). Speech impairment and intracerebral bleeding were statistically associated with seizures in univariate analysis, but in a logistic regression model, only brain damage with hemorrhagic infarct and/or presence of brain hematoma [OR 6.051; 95% CI 1.881–19.468] (p = 0.003) were predicting factors for seizures. Late seizures were significantly more frequent in younger age [OR 0.864; 95% CI 0.763–0.978] (p = 0.020). Early seizures resulted as protective factors for recurrence; an altered state of consciousness at baseline and late seizures resulted as predictive factors for relapses (0.0% vs. 81.0%, p = 0.005, and 100.0% vs. 19.0%, p < 0.005, respectively). Conclusions: Our study confirms brain bleeding as the strongest risk factor for seizures after cerebral venous thrombosis. Recurrence is unusual after early seizures, while the presence of late seizures seems to raise the risk of recurrence.
Snow Surface Microbial Diversity at the Detection Limit within the Vicinity of the Concordia Station, Antarctica
Authors: Napoli Alessandro , Coleine Claudia , Ulrich Nikea , Moeller Ralf , Billi Daniela , Selbmann Laura
Published: January 2023

The Concordia Research Station provides a unique location for preparatory activities for future human journey to Mars, to explore microbial diversity at subzero temperatures, and monitor the dissemination of human-associated microorganisms within the pristine surrounding environment. Amplicon sequencing was leveraged to investigate the microbial diversity of surface snow samples collected monthly over a two-year period, at three distances from the Station (10, 500, and 1000 m). Even when the extracted total DNA was below the detection limit, 16S rRNA gene sequencing was successfully performed on all samples, while 18S rRNA was amplified on 19 samples out of 51. No significant relationships were observed between microbial diversity and seasonality (summer or winter) or distance from the Concordia base. This suggested that if present, the anthropogenic impact should have been below the detectable limit. While harboring low microbial diversity, the surface snow samples were characterized by heterogeneous microbiomes. Ultimately, our study corroborated the use of DNA sequencing-based techniques for revealing microbial presence in remote and hostile environments, with implications for Planetary Protection during space missions and for life-detection in astrobiology relevant targets.
Incorporating the Soil Gas Gradient Method and Functional Genes to Assess the Natural Source Zone Depletion at a Petroleum-Hydrocarbon-Contaminated Site of a Purification Plant in Northwest China
Authors: Ning Zhuo , Sheng Yizhi , Guo Caijuan , Wang Shuaiwei , Yang Shuai , Zhang Min
Published: January 2023

An increasing number of studies have demonstrated that natural source zone depletion (NSZD) in the vadose zone accounts for the majority (90%~99%) of the natural attenuation of light non-aqueous phase liquid (LNAPL). Until now, 0.05 to 12 kg/a.m2 NSZD rates at tens of petroleum LNAPL source zones have been determined in the middle or late evolution stage of LNAPL release, in which limited volatile organic compounds (VOCs) and methane (CH4) were detected. NSZD rates are normally estimated by the gradient method, yet the associated functional microbial activity remains poorly investigated. Herein, the NSZD at an LNAPL-releasing site was studied using both soil gas gradient methods quantifying the O2, CO2, CH4, and VOCs concentrations and molecular biology methods quantifying the abundance of the pmoA and mcrA genes. The results showed that the methanogenesis rates were around 4 to 40 kg/a.m2. The values were greater than the rates calculated by the sum of CH4 escaping (0.3~1.2 kg/a.m2) and O2 consuming (3~13 kg/a.m2) or CO2 generating rates (2~4 kg/a.m2), suggesting that the generated CH4 was oxidized but not thoroughly to CO2. The functional gene quantification also supported the indication of this process. Therefore, the NSZD rates at the site roughly equaled the methanogenesis rates (4~40 kg/a.m2), which were greater than most of the previously studied sites with a 90th percentile value of 4 kg/a.m2. The study extended the current knowledge of the NSZD and has significant implications for LNAPL remediation management.