bluuebunny/crossref_metadata_2025 huggingface dataset:
The Interrelationship of Benefit Finding, Stigma, and Suicide Risk Among Patients with Schizophrenia and Their Caregivers: A Six-Month Follow-Up Study
Authors: Lee Heng , Peng Pin-Han , Chiu Nien-Mu , Huang Yu-Chi , Lin Pao-Yen , Hung Chi-Fa , Lee Yu , Wang Liang-Jen
Published: October 2024

Objective: This study aimed to assess the dyadic dynamics of benefit finding, stigma, and suicide risk on the depression severity of individuals with schizophrenia and their caregivers. Methods: We prospectively recruited a total of 72 individuals with schizophrenia and 72 caregivers of individuals with schizophrenia from a medical center in Taiwan between August 2022 and July 2023. Patients with schizophrenia and their caregivers were assessed using the Taiwanese Depression Questionnaire, Benefit Finding Scale, Explanatory Model Interview Catalogue, Suicide Assessment Scale, and Mini International Neuropsychiatric Interview. Results: The most prevalent psychiatric diagnoses in the caregivers were depressive disorders (29.2%). Using structural equation modeling, we found that patients’ suicidal risk (β = 0.45, p < 0.001) may contribute to the severity of depression in individuals with schizophrenia. We also found that caregivers’ BF degree (β = −0.25, p < 0.01) and suicidal risk (β = 0.64, p < 0.001) may contribute to the severity of depression in the caregivers of individuals with schizophrenia. Furthermore, we found that caregivers’ suicidal risk (β = 0.28, p < 0.05) and caregivers’ stigma (β = −0.31, p < 0.01) level may contribute to the severity of depression in individuals with schizophrenia. Discussion: Clinicians should actively manage caregivers’ stigma and provide positive reinforcement for caregivers’ BF, as this may help reduce depression in both caregivers and individuals with schizophrenia. Additionally, assessing suicide risk in both groups is essential for preventing suicides among individuals with schizophrenia and caregivers alike.
Deciphering the Physical Characteristics of Ophthalmic Filters Used in Optometric Vision Therapy
Authors: Ibrahimi Danjela , Aviles Marcos , Valencia Luna Guillermo , Rodriguez Resendiz Juvenal
Published: October 2024

Background: This paper aimed to measure and characterize eleven monochromatic filters and twenty-two combinations used empirically to treat patients with visual dysfunctions to propose enhanced protocols based on solid evidence. Their wavelength, transmittance, and relative sensitivity were defined on the retinal cone cells. Methods: A double-beam UV-VIS-NIR spectrophotometer, VARIAN brand, Cary 5000 model, owned by the National Center of Metrology, with high precision and accuracy, was used to characterize all filters. Filters were purchased from Optomatters Corporation, Belgium. Results: When two or three filters are combined, their transmittance and relative sensitivity on the retinal cone cells decrease regardless of wavelength. As a result, the efficiency of combined filters may decrease during treatments. Additionally, most filters and combinations, regardless of the wavelength, transmit a considerable percentage of light from the red spectrum. A depressant is the best monochromatic filter, and Upsilon–Neurasthenic is the strongest combination to stimulate blue cone cells. In contrast, Stimulant and Delta–Theta are best for red and green cone cells. Mu–Delta and Mu–Theta can be interchangeable, as well as Alpha–Delta and Alpha–Theta. Conclusions: Results suggest that the current phototherapy treatment protocol must be deeply revised, and the number of filters and combinations should be reduced to reduce costs and time and boost efficiency.
Isolation and Identification of Pear Ring Rot Fungus and Resistance Evaluation of Different Pear Varieties
Authors: Wang Chen , Zhang Yanjie , Ou Chunqing , Wang Fei , Ma Li , Wang Caihong , Jiang Shuling
Published: October 2024

Botryosphaeria dothidea is a significant plant pathogen responsible for causing ulcers, wilt, and fruit decay across a wide range of host plants. One notable fungal disease attributed to B. dothidea is pear tree ring rot, which currently ranks among the most severe diseases affecting pear trees in China. This pathogen primarily targets branches and fruits, occasionally impacting leaves as well, leading to tree weakening, fruit rot, and leaf drop. The annual repercussions of this disease severely affect both the yield and quality of pear fruits, thereby impeding the healthy development of the pear industry. Recent studies have indicated that other species within the B. dothidea complex can also induce pear ring rot; however, specific physiological strains of B. dothidea remain unreported. Consequently, this study collected tissues from pear trees infected with ring rot from orchards located in Liaoning, Hebei, Shandong, and other regions throughout China. Through morphological characterization combined with pathogenicity assessments and DNA sequence comparisons involving partial internal transcribed spacer (ITS), translation elongation factor (TEF), and β-tubulin (TUB) genes, 21 strains belonging to the Botryosphaeria spp. were identified. These 21 strains served as research subjects for inoculating dormant annual branches from 30 germplasm resources of pear trees in vitro. The results demonstrated that all tested strains could induce lesions on the branches which were characterized by dark brown spots. Furthermore, inoculation experiments involving these 21 strains were conducted to evaluate the resistance levels of various pear varieties against ring rot disease. The resistance was assessed by inoculating different isolates onto distinct pear varieties; this approach established the criteria for evaluating resistance while minimizing identification errors stemming from the variable responses exhibited by certain varieties towards individual strains. Ultimately, this study aims to provide a theoretical foundation for effective prevention and treatment strategies against pear ring rot.
Applications of Machine Learning and Remote Sensing in Soil and Water Conservation
Authors: Kim Ye Inn , Park Woo Hyeon , Shin Yongchul , Park Jin-Woo , Engel Bernie , Yun Young-Jo , Jang Won Seok
Published: October 2024

The application of machine learning (ML) and remote sensing (RS) in soil and water conservation has become a powerful tool. As analytical tools continue to advance, the variety of ML algorithms and RS sources has expanded, providing opportunities for more sophisticated analyses. At the same time, researchers are required to select appropriate technologies based on the research objectives, topic, and scope of the study area. In this paper, we present a comprehensive review of the application of ML algorithms and RS that has been implemented to advance research in soil and water conservation. The key contribution of this review paper is that it provides an overview of current research areas within soil and water conservation and their effectiveness in improving prediction accuracy and resource management in categorized subfields, including soil properties, hydrology and water resources, and wildfire management. We also highlight challenges and future directions based on limitations of ML and RS applications in soil and water conservation. This review aims to serve as a reference for researchers and decision-makers by offering insights into the effectiveness of ML and RS applications in the fields of soil and water conservation.
A Novel Approach for Ex Situ Water Quality Monitoring Using the Google Earth Engine and Spectral Indices in Chilika Lake, Odisha, India
Authors: Das Subhasmita , Nandi Debabrata , Thakur Rakesh Ranjan , Bera Dillip Kumar , Behera Duryadhan , Đurin Bojan , Cetl Vlado
Published: October 2024

Chilika Lake, a RAMSAR site, is an environmentally and ecologically pivotal coastal lagoon in India facing significant emerging environmental challenges due to anthropogenic activities and natural processes. Traditional in situ water quality monitoring methods are often labor intensive and time consuming. This study presents a novel approach for ex situ water quality monitoring in Chilika Lake, located on the east coast of India, utilizing Google Earth Engine (GEE) and spectral indices, such as the Normalized Difference Turbidity Index (NDTI), Normalized Difference Chlorophyll Index (NDCI), and total suspended solids (TSS). The methodology involves the integration of multi-temporal satellite imagery and advanced spectral indices to assess key water quality parameters, such as turbidity, chlorophyll-a concentration, and suspended sediments. The NDTI value in Chilika Lake increased from 2019 to 2021, and the Automatic Water Extraction Index (AWEI) method estimated the TSS concentration. The results demonstrate the effectiveness of this approach in providing accurate and comprehensive water quality assessments, which are crucial for the sustainable management of Chilika Lake. Maps and visualization are presented using GIS software. This study can effectively detect floating algal blooms, identify pollution sources, and determine environmental changes over time. Developing intuitive dashboards and visualization tools can help stakeholders engage with data-driven insights, increase community participation in conservation, and identify pollution sources.
Nanomaterial Texture-Based Machine Learning of Ciprofloxacin Adsorption on Nanoporous Carbon
Authors: Käärik Maike , Krjukova Nadežda , Maran Uko , Oja Mare , Piir Geven , Leis Jaan
Published: October 2024

Drug substances in water bodies and groundwater have become a significant threat to the surrounding environment. This study focuses on the ability of the nanoporous carbon materials to remove ciprofloxacin from aqueous solutions under specific experimental conditions and on the development of the mathematical model that would allow describing the molecular interactions of the adsorption process and calculating the adsorption capacity of the material. Thus, based on the adsorption measurements of the 87 carbon materials, it was found that, depending on the porosity and pore size distribution, adsorption capacity values varied between 55 and 495 mg g−1. For a more detailed analysis of the effects of different carbon textures and pores characteristics, a Quantitative nano-Structure–Property Relationship (QnSPR) was developed to describe and predict the ability of a nanoporous carbon material to remove ciprofloxacin from aqueous solutions. The adsorption capacity of potential nanoporous carbon-based adsorbents for the removal of ciprofloxacin was shown to be sufficiently accurately described by a three-parameter multi-linear QnSPR equation (R2 = 0.70). This description was achieved only with parameters describing the texture of the carbon material such as specific surface area (Sdft) and pore size fractions of 1.1–1.2 nm (VN21.1–1.2) and 3.3–3.4 nm (VN23.3−3.4) for pores.
Whole Blood Transcriptome Analysis in Congenital Anemia Patients
Authors: Sanchez-Villalobos Maria , Campos Baños Eulalia , Martínez-Balsalobre Elena , Navarro-Ramirez Veronica , Videla María Asunción Beltrán , Pinilla Miriam , Guillén-Navarro Encarna , Salido-Fierrez Eduardo , Pérez-Oliva Ana Belén
Published: October 2024

Congenital anemias include a broad range of disorders marked by inherent abnormalities in red blood cells. These abnormalities include enzymatic, membrane, and congenital defects in erythropoiesis, as well as hemoglobinopathies such as sickle cell disease and thalassemia. These conditions range in presentation from asymptomatic cases to those requiring frequent blood transfusions, exhibiting phenotypic heterogeneity and different degrees of severity. Despite understanding their different etiologies, all of them have a common pathophysiological origin with congenital defects of erythropoiesis. We can find different types, from congenital sideroblastic anemia (CSA), which is a bone marrow failure anemia, to hemoglobinopathies as sickle cell disease and thalassemia, with a higher prevalence and clinical impact. Recent efforts have focused on understanding erythropoiesis dysfunction in these anemias but, so far, deep gene sequencing analysis comparing all of them has not been performed. Our study used Quant 3′ mRNA-Sequencing to compare transcriptomic profiles of four sickle cell disease patients, ten thalassemia patients, and one rare case of SLC25A38 CSA. Our results showed clear differentiated gene map expressions in all of them with respect to healthy controls. Our study reveals that genes related to metabolic processes, membrane genes, and erythropoiesis are upregulated with respect to healthy controls in all pathologies studied except in the SLC25A38 CSA patient, who shows a unique gene expression pattern compared to the rest of the congenital anemias studied. Our analysis is the first that compares gene expression patterns across different congenital anemias to provide a broad spectrum of genes that could have clinical relevance in these pathologies.
Autocrine Motility Factor and Its Peptide Derivative Inhibit Triple-Negative Breast Cancer by Regulating Wound Repair, Survival, and Drug Efflux
Authors: Kim Se Gie , Kim Seok Joong , Duong Thanh Van , Cho Yuhan , Park Bogeun , Kadam Ulhas Sopanrao , Park Hee Sung , Hong Jong Chan
Published: October 2024

Triple-negative breast cancer (TNBC) presents a significant challenge in oncology due to its aggressive nature and limited targeted therapeutic options. This study explores the potential of autocrine motility factor (AMF) and an AMF-derived peptide as novel treatments for TNBC. AMF, primarily secreted by neoplastic cells, plays a crucial role in cancer cell motility, metastasis, and proliferation. The research demonstrates that AMF and its derived peptide inhibit TNBC cell proliferation by modulating cellular migration, redox homeostasis, apoptotic pathways, and drug efflux mechanisms. Dose-dependent antiproliferative effects were observed across three TNBC cell lines, with higher concentrations impairing cellular migration. Mechanistic studies revealed decreased glucose-6-phosphate dehydrogenase expression and elevated reactive oxygen species production, suggesting redox imbalance as a primary mediator of apoptosis. Combination studies with conventional therapeutics showed near-complete eradication of resistant TNBC cells. The observed reduction in p53 levels and increased intranuclear doxorubicin accumulation highlight the AMF/AMF peptide’s potential as multidrug resistance modulators. This study underscores the promise of using AMF/AMF peptide as a novel therapeutic approach for TNBC, addressing current treatment limitations and warranting further investigation.
Understanding the Anticancer Properties of Honey
Authors: Martinotti Simona , Bonsignore Gregorio , Ranzato Elia
Published: October 2024

Uncontrolled cell growth that possesses the capacity to exhibit malignant behavior is referred to as cancer. The cytotoxic drugs used to fight cancer are associated with several adverse effects and are not always readily available or affordable, especially in developing countries. These issues are in addition to the shortcomings of the current cancer treatment regimen. According to growing research, honey is not cytotoxic to normal cells but is highly and particularly cytotoxic to tumor cells, suggesting that honey may display anticancer effects. Research has shown that honey affects a number of cell signaling pathways; however, at the moment, the precise method is not completely known.
Transcriptome and WGCNA Analyses Reveal Key Genes Regulating Anthocyanin Biosynthesis in Purple Sprout of Pak Choi (Brassica rapa L. ssp. chinensis)
Authors: Xu Chaomin , Huang Hui , Tan Chen , Gao Liwei , Wan Shubei , Zhu Bo , Chen Daozong , Zhu Bin
Published: October 2024

Chinese cabbage is rich in vitamins, fibre, and nutrients and is one of the primary vegetables consumed in autumn and winter in South Asia. ‘Purple pak choi’ sprouts are particularly rich in anthocyanins and are favoured by consumers. However, reports on the regulation of anthocyanin synthesis in purple pak choi sprouts do not exist. In this study, we examined the phenotypic development of purple pak choi sprouts after germination. The total anthocyanin content increased from 0.02 to 0.52 mg/g FW from days 0 to 6. RNA-seq data analysis revealed an increase in differentially expressed genes corresponding to the development of purple pak choi sprouts. Expression pattern analysis of genes associated with the anthocyanin biosynthesis pathway revealed a significant upregulation of structural genes during the purple phase, suggesting that the transcription factors PAP2 and MYBL2 may play crucial regulatory roles. BraPAP2.A03, BraTT8.A09, and BraMYBL2.A07 exhibited strong interactions with key genes in the anthocyanin biosynthesis pathway, specifically BraDFR.A09. Furthermore, the expression of BraPAP2.A03 aligned with the expression patterns of most anthocyanin biosynthesis-related genes, whereas those of BraTT8.A09 and BraMYBL2.A07 corresponded with the expression pattern of BraDFR.A09. These results provide valuable insights into regulatory mechanisms underlying anthocyanin synthesis in purple pak choi sprouts.
Effect of Slow-Release Urea on Yield and Quality of Euryale ferox
Authors: Wu Peng , Wang Tian-Yu , Wang Yu-Hao , Liu Ai-Lian , Zhao Shu-Ping , Feng Kai , Li Liang-Jun
Published: October 2024

Slow-release urea, as an environmentally friendly fertiliser, can provide a continuous and uniform supply of nutrients needed by the crop, reduce the amount and frequency of fertiliser application, and promote the uptake and utilisation of nitrogen in crops. The production of E. ferox is often dominated by the application of quick-acting fertilisers, resulting in serious problems of over-fertilisation, inappropriate periods of fertilisation, eutrophication of soil and water due to fertilisation, and difficulties in applying fertilisers. Therefore, in this study, different amounts (CK, T1, T2, T3, T4, T5) of SRU (Slow-release Urea) were first applied, and T3 (18.8 kg·667 m−2) was found to significantly improve both yield and quality. Further, it was found that under different SRU (CK, S1, S2, S3, S4) application period treatments, application of 18.8 kg·667 m−2 at AFP20 (S2) period significantly increased the yield and quality of E. ferox. In the seed kernels of E. ferox, the total yield, soluble sugar content, total starch, and flavonoid content increased significantly by 10.35%, 36.40%, 5.91%, and 22.80%, respectively, compared with CK. In addition, the expression of key sugar transporter genes (EfSWEETs), flavonoid synthesis-related genes (EfPAL, EfDFR, etc.), and starch synthesis-related enzyme activities (SBE, SSS, GBSS) were significantly increased. By exploring the quantity of application and application period of SRU, this study was carried out to investigate the in-depth effect of SRU on the growth and development of E. ferox and to provide technical references for the increase in E. ferox yield, the improvement in E. ferox quality, and the simplification of fertiliser application.
Comparative Study of Docking Tools for Evaluation of Potential Copper Metallodrugs and Their Interaction with TMPRSS2
Authors: Vázquez-Rodríguez Sergio , Ramírez-Contreras Diego , Noriega Lisset , García-García Amalia , Sánchez-Gaytán Brenda L. , Meléndez Francisco J. , Filgueira de Azevedo Walter , Castro María Eugenia , González-Vergara Enrique
Published: October 2024

COVID-19 has caused over seven million deaths globally due to its high transmission rate. The virus responsible for the disease requires a transmembrane protease serine type II (TMPRSS2-7MEQ) to infiltrate host cells and has been linked to several cancers, particularly prostate cancer. To investigate COVID-19 potential therapies, a series of Casiopeina-like copper complexes containing 1,10-Phenanthroline and amino acids were investigated as TMPRSS2 inhibitors. The molecular structures of twelve Phenanthroline copper complexes were calculated, and their global reactivity indices were analyzed using DFT and conceptual DFT methods. Three molecular docking algorithms were employed to identify the most effective inhibitors by examining their interactions with amino acid residues in the target protein’s catalytic activity triad (Asp345, His296, and Ser441). All complexes are docked above the catalytic site, blocking the interaction with substrates. The Phenanthroline complexes showed better interactions than the Bipyridine complexes, likely due to increased hydrophobic contacts. Analogs’ cationic nature and amino acids’ basic side chains bring them near the active site by interacting with Asp435. The top complexes in this study contain Ornithine, Lysine, and Arginine, making them promising alternatives for researching new drugs for COVID-19 and cancers like prostate cancer.
Transition Edge Sensors: Physics and Applications
Authors: De Lucia Mario , Dal Bo Paolo , Di Giorgi Eugenia , Lari Tommaso , Puglia Claudio , Paolucci Federico
Published: October 2024

Transition Edge Sensors (TESs) are amongst the most sensitive cryogenic detectors and can be easily optimized for the detection of massive particles or photons ranging from X-rays all the way down to millimetre radiation. Furthermore, TESs exhibit unmatched energy resolution while being easily frequency domain multiplexed in arrays of several hundred pixels. Such great performance, along with rather simple and sturdy readout and amplification chains make TESs extremely compelling for applications in many fields of scientific endeavour. While the first part of this article is an in-depth discussion on the working principles of Transition Edge Sensors, the remainder of this review article focuses on the applications of Transition Edge Sensors in advanced scientific instrumentation serving as an accessible and thorough list of possible starting points for more comprehensive literature research.
Diagnostic Methods of Atherosclerotic Plaque and the Assessment of Its Prognostic Significance—A Narrative Review
Authors: Gać Paweł , Jakubowska-Martyniuk Anna , Żórawik Aleksandra , Hajdusianek Wojciech , Żytkowski Dawid , Matys Tomasz , Poręba Rafał
Published: October 2024

Cardiovascular diseases (CVD) are a leading cause of death. The most notable cause of CVD is an atherosclerotic plaque. The aim of this review is to provide an overview of different diagnostic methods for atherosclerotic plaque relevant to the assessment of cardiovascular risk. The methods can be divided into invasive and non-invasive. This review focuses on non-invasive with attention paid to ultrasonography, contrast-enhanced ultrasonography, intravascular ultrasonography, and assessment of intima-media complex, coronary computed tomography angiography, and magnetic resonance. In the review, we discuss a number of Artificial Intelligence technologies that support plaque imaging.
Calcium Silicate Promoting the Upcycling Potential of Polysulfone Medical Waste in Load-Bearing Applications
Authors: Chang Chi-Nan , Chung Jia-Jia , Jiang Huei-Yu , Ding Shinn-Jyh
Published: October 2024

Polysulfone (PSF) medical waste can be effectively repurposed due to its excellent mechanical properties. Due to the increasing need for load-bearing bone implants, it is crucial to prioritize the development of biocompatible polymer–matrix composites. Calcium silicate (CaSi), known for its osteogenesis and antibacterial properties, is widely used in medical applications. In this study, recycled PSF plastics in fiber or nanoparticle forms and commercial PSF products were used to create PSF-based composites filled with three different amounts (10, 20, and 30 vol%) of CaSi. The green compact was heat-treated at various temperatures. Experimental results showed that the mechanical interlocking of the PSF matrix and CaSi filler occurred due to the liquefaction of PSF fibers or nanoparticles during heat treatment. When the composite contained 20% CaSi, the obtained three-point bending strength exceeded 60 MPa, falling within the reported strength of compact bone. There was a concurrent improvement in the biocompatibility and antibacterial activity of the PSF-based composites with the increasing amount of CaSi. Considering their mechanical properties and antibacterial activity, the 20% CaSi-containing PSF-based composites treated at 240 °C emerged as a promising candidate for bone implant applications. This study demonstrated the feasibility of upcycling medical waste such as PSF as a matrix, opening doors for its potential usage in the medical field.
Impact of Exercise Training at Maximal Fat Oxidation Intensity on Metabolic and Epigenetic Parameters in Patients with Overweight and Obesity: Study Protocol of a Randomized Controlled Trial
Authors: Hernández-Lepe Marco Antonio , Hernández-Ontiveros David Alfredo , Chávez-Guevara Isaac Armando , Ramos-Jiménez Arnulfo , Hernández-Torres Rosa Patricia , López-Fregoso Reymond Josué , Ramos-Lopez Omar , Amaro-Gahete Francisco José , Muñiz-Salazar Raquel , Olivas-Aguirre Francisco Javier
Published: October 2024

Background: Exercise is an essential pillar for human health, as it contributes to physical, mental, and emotional well-being. Well-recognized international organizations, such as the World Health Organization, advocate for integrating exercise into healthy lifestyles, recognizing its importance in disease prevention and improving quality of life. However, despite the consensus on its value, there is no universal agreement on specific prescriptions for vulnerable groups, highlighting the need for personalized approaches that consider the unique characteristics and needs of everyone. Emerging studies have demonstrated that exercise training performed at the intensity that elicits maximal fat oxidation improves insulin sensitivity, cardiorespiratory fitness, and body composition in patients with obesity, making it a highly effective strategy for long-term weight management and metabolic health in this specific population. Methods: The present study protocol settles the basis for a 16-week randomized clinical trial based on exercise prescription at the maximal fat oxidation rate combined with resistance training in young individuals with overweight and obesity. Expected Results: This study will elucidate how FatMax, with or without resistance exercises, can enhance metabolic flexibility, increase fat oxidation, and improve body composition, evaluating changes in biochemical parameters (cholesterol, glucose, triglycerides, and inflammatory markers), metabolic biomarkers (determination of fat and carbohydrate utilization rates during rest and exercise), and epigenetic indicators (focusing on microRNAs associated with adipogenesis, inflammation, and fat metabolism). ClinicalTrials.gov identification number: NCT06553482 (FatMax Training on Metabolic and Epigenetic Parameters).
Intratumoral Microbiota: Insights from Anatomical, Molecular, and Clinical Perspectives
Authors: Lombardo Claudia , Fazio Rosanna , Sinagra Marta , Gattuso Giuseppe , Longo Federica , Lombardo Cinzia , Salmeri Mario , Zanghì Guido Nicola , Loreto Carla Agata Erika
Published: October 2024

The human microbiota represents a heterogeneous microbial community composed of several commensal, symbiotic, and even pathogenic microorganisms colonizing both the external and internal body surfaces. Despite the term “microbiota” being commonly used to identify microorganisms inhabiting the gut, several pieces of evidence suggest the presence of different microbiota physiologically colonizing other organs. In this context, several studies have also confirmed that microbes are integral components of tumor tissue in different types of cancer, constituting the so-called “intratumoral microbiota”. The intratumoral microbiota is closely related to the occurrence and development of cancer as well as to the efficacy of anticancer treatments. Indeed, intratumoral microbiota can contribute to carcinogenesis and metastasis formation as some microbes can directly cause DNA damage, while others can induce the activation of proinflammatory responses or oncogenic pathways and alter the tumor microenvironment (TME). All these characteristics make the intratumoral microbiota an interesting topic to investigate for both diagnostic and prognostic purposes in order to improve the management of cancer patients. This review aims to gather the most recent data on the role of the intratumoral microbiota in cancer development, progression, and response to treatment, as well as its potential diagnostic and prognostic value.
Multi-Scenario Simulating the Effects of Land Use Change on Ecosystem Health for Rural Ecological Management in the Zheng–Bian–Luo Rural Area, Central China
Authors: Wei Hejie , Han Qing , Ma Yu , Ji Wenfeng , Fan Weiguo , Liu Mengxue , Huang Junchang , Li Ling
Published: October 2024

A healthy rural ecosystem ensures a win–win situation for both economic growth and ecological conservation. However, the impact of land use changes at the rural level on ecosystem health remains unclear. This study focuses on the rural scale of Zheng–Bian–Luo, analyzing changes in land use from 2000 to 2020. Using the “Ecosystem Vigor-Organization-Resilience-Services” model, the study evaluates the spatiotemporal patterns of ecosystem health. The Patch-generating Land Use Simulation (PLUS) model was employed to simulate land use and ecosystem health in 2035 under three scenarios: Natural Development (ND), Ecological Protection (EP), and Cropland Protection (CP). The findings are as follows: (1) From 2000 to 2020, the area of cultivated land in Zheng–Bian–Luo rural areas decreased, and the area of forest land first decreased and then increased. (2) During the study period, ecosystem health improved as ecosystem vigor, organization, and services increased. Low-value areas of ecosystem health showed a shrinking trend, most notably in Kaifeng. (3) By 2035, under the EP scenario, forest land increased by 76.794 km2, while it decreased under the CP and ND scenarios. Construction land showed an increasing trend in all three scenarios, with the ND scenario seeing the largest increase of 718.007 km2. (4) In 2035, ecosystem health is projected to decline under the ND scenario due to reduced forest land and increased construction land. The CP scenario showed no significant change in ecosystem health, but the southwestern rural areas of Luoyang improved. The EP scenario saw an overall increase in ecosystem health, highlighting land use optimization as beneficial. Local governments are encouraged to create ecological protection plans balancing ecological and cultivated land protection, focusing on sensitive areas such as the Songshan region and southwestern mountainous areas of Luoyang for coordinated development.
Spatiotemporal Change Analysis and Multi-Scenario Modeling of Ecosystem Service Values: A Case Study of the Beijing-Tianjin-Hebei Urban Agglomeration, China
Authors: Duan Jing , Shi Pu , Yang Yuanyuan , Wang Dongyan
Published: October 2024

Ecosystem service value (ESV) assessment is a crucial indicator of regional ecological quality and ecological management effectiveness. Ecosystem services (ES) provide the environmental foundation for human existence and social advancement. However, the future course of land use change (LUC) in urban agglomerations and its implications for human society remains uncertain, which presents a challenge to maintaining a balance between ecological service functions and regional socioeconomic growth. This paper took the Beijing-Tianjin-Hebei (BTH) urban agglomeration as an example and used the future land use simulation (FLUS) model to project the spatial distribution of land use under the natural development scenario (NDS), food security scenario (FSS), and ecological priority scenario (EPS) of BTH in 2030, 2040, and 2050. Next, the changes to ESV under various scenarios were investigated through the equivalent coefficient method. In order to make more targeted recommendations for regional development, the study also used hotspot analyses to explore the impacts of LUCs on ESV. The results showed that: (1) from 2000 to 2020, the LUC in the BTH was dramatic and mainly focused on the interconversions among the three land use categories of cropland, grassland, and built-up land. The total ESV demonstrated the tendency to decrease from CNY 386,859.89 × 106 in 2000 to CNY 371,968.78 × 106 in 2020. (2) Compared with 2020, the ESV in BTH in 2050 under the FSS loses 16,568.78 × 106 CNY, followed by the NDS (CNY 10,960.84 × 106), while the ESV under the EPS increases by CNY 9373.74 × 106. The results of the scenario simulation showed that there was significant variability in ESV under different political orientations. (3) Hotspot analysis indicated that the ESV changes were clustered in the northeastern part and the eastern coastal region of the BTH. On this basis, we identified Chengde, Beijing, Tianjin, and Zhangjiakou as the key cities to focus on and made meaningful suggestions for their future regional environmental protection and sustainable development. This research can serve as a guide in creating sustainable BTH development policies and offer fresh perspectives for investigating how land use patterns affect the ecological environment’s regional quality under various policy trajectories.
Identifying Potential Urban Greenways by Considering Green Space Exposure Levels and Maximizing Recreational Flows: A Case Study in Beijing’s Built-Up Areas
Authors: Liu Tao , Yu Le , Chen Xin , Chen Yunmiao , Li Xiaomeng , Liu Xinyi , Cao Yue , Zhang Fan , Zhang Chenggang , Gong Peng
Published: October 2024

Urban greenways are pivotal in enriching urban quality and fostering socio-ecological sustainability. Previous studies on urban greenway networks have often overlooked user-based experience efficiency, leading to the underutilization and insufficient translation of cultural services into human well-being. In this study, we introduce a user behavior-driven assessment framework for planning multifunctional urban greenways that connect parks with high green space exposure and maximize recreational mobility. Beijing’s built-up urban areas (BBUA) were selected as the case study area. Firstly, we evaluated the green space exposure of 331 parks in BBUA using an integrated “Availability–Accessibility–Adaptability” assessment framework as potential carriers. Then, through spatially explicit workflows and the least-cost path methodology, we leveraged a vast dataset of 70 million public transportation swipe records to optimize the alignment of multifunctional greenways, prioritizing the criterion of maximizing recreational footfalls. The results showed that the potential greenways network spans 1566.36 km in BBUA, encompassing 93.88% of parks and offering six diverse functions. It can serve 34.39–35.92% of bus recreation passengers, with this ratio tending to be higher on weekends. However, we identified obstacle points (non-greenway sections) in the networks based on residents’ view perceptions and panoramic street images, primarily located in densely built-up central areas and along southern trunk roads. By addressing these disconnections, the integrity and connectivity of urban greenway networks in BBUA will be improved. Overall, the framework we present can be used to construct greenway networks that maximize the perceived accessibility for bus-based visitors, with valuable implications for sustainable urban planning and regeneration initiatives.
Modeling the Effect of Greenways’ Multilevel Visual Characteristics on Thermal Perception in Summer Based on Bayesian Network and Computer Vision
Authors: Zheng Yongrong , Lan Siren , Zhao Jiayi , Liu Yuhan , He Songjun , Liu Chang
Published: October 2024

The aim of this study is to reveal the effects of multilevel visual characteristics of greenways on thermal perception in hot and humid regions during summer and to explore the potential of visual design to enhance psychological thermal comfort. Data on light (L), color (C), plant richness (PR), space openness (SO), scenic view (SV), thermal sensation (TS), and thermal preference (TP) were collected through questionnaires (n = 546). Computer vision technology was applied to measure the green view index (GVI), sky view index (SVI), paving index (PI), spatial enclosure (SE), and water index (WI). Using the hill climbing algorithm in R to construct a Bayesian network, model validation results indicated prediction accuracies of 0.799 for TS and 0.838 for TP. The results showed that: (1) SE, WI, and SV significantly positively influence TS, while L significantly negatively influences TS (R2 = 0.6805, p-value < 0.05); (2) WI, TS, and SV significantly positively influence TP (R2 = 0.759, p-value < 0.05).
Causes and Impacts of Flood Events in Emilia-Romagna (Italy) in May 2023
Authors: Cremonini Letizia , Randi Pierluigi , Fazzini Massimiliano , Nardino Marianna , Rossi Federica , Georgiadis Teodoro
Published: October 2024

On 1–3 May 2023, severe hydro-meteorological events occurred in the Italian Emilia-Romagna region. Such events caused extensive flooding, landslides, isolation of many areas, evacuation of many families, and severe damage to infrastructure, agriculture, buildings, and essential services. Several municipalities were affected, thousands of civilians had to be evacuated, and losses of life occurred. The consequences beyond the recorded immediate impacts on infrastructure and life were impressive, and extended to the regional economy, specifically in the Fruit Valley, where, in addition to immediate yield losses, long-term damage to orchard production is expected due to persistent flooding. The civil and cultural building heritage has also been heavily affected, both in the countryside and in inhabited centers. Some of the damage, direct and indirect, caused by flooding on buildings will also see an evolution in the medium- to long-term that needs to be addressed. This paper analyzes the manifold aspects of such an atmospheric phenomenon and its impacts to understand the potential increasing occurrence of similar events in the climate change context.
An Innovative GIS-Based Policy Approach to Stream Water Quality and Ecological Risk Assessment in Mediterranean Regions: The Case of Crete, Greece
Authors: Kourgialas Nektarios N. , Ntislidou Chrysoula , Kazila Eleana , Filintas Agathos , Voreadou Catherina
Published: October 2024

Due to the multiple pressures from human activities, many freshwater ecosystems are facing degradation. To address this issue, a new approach for assessing stream water quality and ecological (WQE) risk using a multi-criteria analysis through a GIS-based policy tool has been developed. The suggested methodology integrates eight different factors along the contaminant pathway from source to streams, including: (a) rainfall variability, (b) soil texture, (c) soil erodibility, (d) slope, (e) river buffer zone, (f) point source contamination buffer zone, (g) non-point source contamination of NO3, and (h) non-point source contamination of PO4. Utilizing fuzzy GIS tools, the above factors and their related maps were spatially overlaid (raster-based suitability for raster reclassification) to obtain the final stream WQE risk map. The final map depicts the spatial distribution of streams concerning their water quality risk and is represented by two classes of WQE risk. The first class is characterized as “appropriate”, in which there is no need for any further actions, while the other one is characterized as “non-appropriate”, indicating that actions should be taken to ensure the sustainability of streams’ water quality. The proposed approach was implemented for the island of Crete, which is located in the Southeast Mediterranean region. The developed methodology was validated using the Hellenic evaluation system (HESY2), an especially established and adapted to the Mediterranean river systems ecological quality metric method, obtained by in situ measurements that were conducted during different monitoring programs (1989–2015). Moreover, this study summarizes appropriate measures and practices that ensure the sustainable management of Mediterranean river basins. These practices can be adopted by local authorities, owners of polluting units, and farmers/breeders to improve the resiliency of streams’ water quality issues in the Mediterranean region.
Assessing Climate and Land-Use Change Scenarios on Future Desertification in Northeast Iran: A Data Mining and Google Earth Engine-Based Approach
Authors: Yin Weibo , Hu Qingfeng , Liu Jinping , He Peipei , Zhu Dantong , Boali Abdolhossein
Published: October 2024

Desertification poses a significant threat to dry and semi-arid regions worldwide, including Northeast Iran. This study investigates the impact of future climate and land-use changes on desertification in this region. Six remote sensing indices were selected to model desertification using four machine learning algorithms: Random Forest (RF), Support Vector Machine (SVM), Gradient Boosting Machine (GBM), and Generalized Linear Models (GLM). To enhance the model’s reliability, an ensemble model was employed. Future climate and land-use scenarios were projected using the CNRM-CM6 model and Markov chain analysis, respectively. Results indicate that the RF and SVM models performed best in mapping current desertification patterns. The ensemble model highlights a 2% increase in decertified areas by 2040, primarily in the northwestern regions. The study underscores the importance of land-use change and climate change in driving desertification and emphasizes the need for sustainable land management practices and climate change adaptation strategies to mitigate future impacts.
Unlocking the Power of Economic Agglomeration: How Digital Finance Enhances Urban Land Use Efficiency Through Innovation Ability and Rationalization of Industrial Structure in China
Authors: Hu Zijing , Li Bowen , Guo Guanyu , Tian Yuan , Zhang Yue , Li Chengming
Published: October 2024

With the rapid progression of urbanization, Chinese cities are encountering an increasingly severe shortage of land resources. To examine the role of digital finance (DF) in promoting economic agglomeration (EA) and subsequently improving urban land use efficiency (ULUE), this paper focuses on 274 prefecture-level cities from 2013 to 2020. By employing an interaction effect model, the study analyzes how DF influences the relationship between EA and the enhancement of ULUE. The findings demonstrate that DF positively moderates the effect of EA on enhancing ULUE. The analysis reveals that DF can accelerate resource flows and more effectively promote the enhancement of ULUE by amplifying the positive influence of EA on regional innovation ability (IA) and the rationalization of industrial structures (RIS). Furthermore, the heterogeneity analysis indicates that this moderating effect is particularly pronounced in China’s central and eastern regions, areas with higher rates of internet penetration, and regions with stronger innovation capacities. Based on these findings, this paper proposes policy recommendations such as promoting regional integration and supporting innovation in DF. These insights contribute to the theoretical discourse on EA in the digital era and provide critical and practical guidance for optimizing the development of agglomeration economies and constructing a high-quality development framework.
Transport Policy Pathways for Autonomous Road Vehicles to Promote Sustainable Urban Development in the European Union: A Multicriteria Analysis
Authors: Gavanas Nikolaos , Anastasiadou Konstantina , Nathanail Eftihia , Basbas Socrates
Published: October 2024

The European Union’s policy aims for the wide-scale deployment of automated mobility by 2030, i.e., within the next programming period (2028–2034), with the deployment of autonomous road vehicles (AVs) in cities playing a key role. Researchers suggest that AV deployment will have complex impacts on urban development, which are difficult to quantify due to scarce real-life data. The present research aims to evaluate different policy pathways of AV deployment for sustainable urban development in the next EU programming period. A multicriteria analysis is conducted, combining AHP and VIKOR, with the participation of experts across Europe. Initially, the potential impacts on sustainable urban development are weighted as evaluation criteria. Then, different pathways are evaluated against these criteria, i.e., AV deployment as collective and/or private transport in specific areas and periods or in the whole Functional Urban Area (FUA) on a 24 h basis. An interesting finding is that the effect on the city’s spatial development, not thoroughly examined by literature, is highly ranked by experts. Regarding policy pathways, autonomous collective transport with 24 h service of the FUA emerged as the optimum alternative. The proposed methodology provides a tool for planners, researchers, and policy makers and a framework for an open debate with society.
Phytochemical Investigation and Biological Activities of Desmodium heterocarpon Extract as Anti-Tyrosinase: Isolation of Natural Compounds, In Vitro and In Silico Study
Authors: Sangkanu Suthinee , Nuankaew Wanlapa , Pitakbut Thanet , Dej-adisai Sukanya
Published: October 2024

Tyrosinase is an important enzyme in the biosynthesis of melanin. Many skin-whitening agents that inhibit tyrosinase activity from natural sources have been identified because they are harmless and non-toxic. In this work, 114 samples of 54 Fabaceae plants were assessed for their anti-tyrosinase activity using a dopachrome method. The results found that Desmodium heterocarpon stems and roots demonstrated the highest tyrosinase inhibitory activity at 20 µg/mL (92.50 ± 1.09%), whereas the water extract of Artocarpus lacucha and kojic acid demonstrated 87.41 ± 0.61% and 95.71 ± 0.33%, respectively. Six compounds were isolated from this plant, including genistein (1); hexadecanoic acid (2); salicylic acid (3); β-sitosterol-D-glucoside (4); 2,3-dihydroxybenzoic acid (5); and 2,5-dihydroxybenzoic acid (6). Among them, 2,5-dihydroxybenzoic acid demonstrated a potential effect for tyrosinase inhibition with an IC50 of 57.38 µg/mL, while standards of kojic acid and the water extract of A. lacucha showed 2.46 and 0.15 µg/mL, respectively. 2,3-dihydroxybenzoic acid had a similar structure as 2,5-dihydroxybenzoic acid; however, it was shown to have tyrosinase inhibitory activity, with an IC50 of 128.89 µg/mL. Studies using computer simulations confirmed this reservation. The determination of antimicrobial activities found that 2,5-dihydroxybenzoic acid showed the strongest inhibitory activity against Staphylococcus aureus, with MIC and MBC of 5 and 5 µg/mL, respectively. In addition, it inhibited MRSA, S. epidermidis, Propionibacterium acnes, Escherichia coli, and Pseudomonas aeruginosa, with MIC and MBC of 15–30 and 15–40 µg/mL. It showed potential activities against yeast and filamentous fungi, such as Candida albicans, Microsporum gypseum, Trichophyton rubrum, and T. mentagrophytes, with MIC and MFC of 15 µg/mL. So, 2,5-dihydroxybenzoic acid could inhibit tyrosinase activity and microorganisms that cause skin diseases. Therefore, it can be concluded that this plant has advantageous properties that will be investigated and further developed for possible uses, particularly in the cosmetic and pharmaceutical industries.