bluuebunny/crossref_metadata_2025 huggingface dataset:
The potential interaction between medical treatment and radioiodine treatment success: A systematic review
Authors: Zannat Riazul , Lee Jonathan , Muzaffar Jameel , Read Martin L. , Brookes Katie , Sharma Neil , Boelaert Kristien , McCabe Christopher J. , Nieto Hannah R.
Published: January 2023

Introduction

Radioactive iodine (RAI) therapy is a critical component in the post-surgical management of thyroid cancer patients, as well as being a central therapeutic option in the treatment of hyperthyroidism. Previous work suggests that antithyroid drugs hinder the efficacy of RAI therapy in patients. However, the effects of other background medications on RAI treatment efficacy have not been evaluated. Therefore, we performed a systematic review and meta-analysis investigating the potential off-target effects of medication on RAI therapy in patients with thyroid cancer and hyperthyroidism.

Methods

Systematic review and meta-analysis according to the 2020 PRISMA guidelines. Databases searched: MEDLINE, EMBASE and Cochrane Library for studies published between 2001 and 2021.

Results

Sixty-nine unique studies were identified. After screening, 17 studies with 3313 participants were included. One study investigated thyroid cancer, with the rest targeted to hyperthyroidism. The majority of studies evaluated the effects of antithyroid drugs; the other drugs studied included lithium, prednisone and glycididazole sodium. Antithyroid drugs were associated with negative impacts on post-RAI outcomes (n = 5 studies, RR = 0.81, p = 0.02). However, meta-analysis found moderate heterogeneity between studies (I2 = 51%, τ2 = 0.0199, p = 0.08). Interestingly, lithium (n = 3 studies), prednisone (n = 1 study) and glycididazole (n = 1 study) appeared to have positive impacts on post-RAI outcomes upon qualitative analysis.

Conclusion

Our systematic review strengthens previous work on antithyroid medication effects on RAI, and highlights that this field remains under researched especially for background medications unrelated to thyroid disease, with very few papers on non-thyroid medications published.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php, identifier CRD42021274026.
Bibliometric analysis of global research profile on ketogenic diet therapies in neurological diseases: Beneficial diet therapies deserve more attention
Authors: Wang Yinuo , Zhang Junyao , Zhang Yingying , Yao Junyan
Published: January 2023

Background

The protective effects of Ketogenic Diet Therapies (KDTs) on neurological diseases have been extensively studied over the past two decades. The purpose of this study was to quantitatively and qualitatively analyze the publication of KDTs in the neurological field from 2000 to 2021.

Methods

A literature search was performed on June 7th, 2022, using the search terms: ((“ketone” OR “ketogenic” OR “*hydroxybuty*”) AND (“neuro*”)) in the WoSCC database. Collected data were further analyzed using VOSviewer, CiteSpace and other online bibliometric websites. The annual publication volume and citation trends were summarized. The collaborations among highly cited countries, institutions, authors and journals were visualized. The co-citation analysis of highly cited references and journals were also visualized. Moreover, the research focuses and fronts were revealed by co-occurrence analysis and burst keywords detection.

Results

A total of 2808 publications with 88,119 citations were identified. From 2000-2021, the number of publications and citations presented rising trends. The United States was the country with an overwhelming number of publications and cited times. Johns Hopkins University was the most contributory institution. Kossoff Eric H was the author with the largest number of publications. And Epilepsia was both the largest publisher and the most frequently cited journal. The keywords of intense interest involved “Modified Atkins Diet”, “Temporal Lobe Epilepsy”, “Alzheimer’s Disease”, “Parkinson’s Disease”, “Cerebral Blood Flow”, “Neuroinflammation”, “Oxidative Stress”, “Metabolism” and “Mitochondria”.

Conclusion

We presented the global trend of KDTs in neurological diseases and provided important information for relevant researchers in a bibliometric way. This bibliometric study revealed that treating epilepsy, neuroprotection and functional effects of KDTs on mitochondria and oxidative stress have been the spotlight from 2000 to 2021. These have emerged as the basis for transformation from basic research to clinical application of KDTs.
Association between circulating resistin levels and thyroid dysfunction: A systematic review and meta-analysis
Authors: Zhou Lin , Song Kang , Luo Wei
Published: January 2023

Background

As a product of adipose tissue, resistin exceeds other adipokines in its role in regulating appetite, energy expenditure, insulin sensitivity, inflammation, and immunity, similar to thyroid hormones. This study aimed to evaluate the association between resistin levels and thyroid dysfunction and to explore variations in circulating resistin levels before and after treatment for thyroid dysfunction.

Methods

This study was conducted according to the Preferred Reporting Items for Systematic Review and Meta-Analysis statement. A comprehensive search of PubMed, Embase, and Cochrane databases was conducted until June 15, 2022, with no start date restriction, according to the preregistered protocol (PROSPERO-CRD42022336617). RevMan version 5.4 and R software package version 4.2.0 were used for statistical analyses.

Results

Fourteen studies with 1716 participants were included in this study. The findings of the meta-analysis confirmed that the resistin levels of patients with thyroid dysfunction were significantly higher than those of the euthyroid function control group (mean difference [MD] = 2.11, 95% confidence interval [CI] = 1.11–3.11, P < 0.00001). Furthermore, the resistin levels of patients with hyperthyroidism (MD = 3.23, 95% CI = 0.68–5.79, P = 0.01) and subclinical hypoidism (MD = 1.37, 95% CI = 0.31–2.42, P = 0.01) were significantly higher than those of euthyroid controls. The resistin levels of patients with thyroid dysfunction after treatment were significantly lower than those before treatment (MD = 1.00, 95% CI = 0.34–1.65, P = 0.003), especially in patients with hyperthyroidism (MD = 2.16, 95% CI = 1.00–3.32, P = 0.0003). Correlation analysis confirmed a positive correlation between resistin levels and free triiodothyronine (FT3) levels in patients with thyroid dysfunction (r = 0.27578, P = 0.001).

Conclusions

Our meta-analysis demonstrates that resistin levels are significantly higher in patients with thyroid dysfunction, and the resistin levels after treatment in patients with thyroid dysfunction are significantly lower than those before treatment. Correlation analysis shows a positive correlation between resistin levels and FT3 levels in patients with thyroid dysfunction.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022336617.
The protective role of nutritional antioxidants against oxidative stress in thyroid disorders
Authors: Macvanin Mirjana T. , Gluvic Zoran , Zafirovic Sonja , Gao Xin , Essack Magbubah , Isenovic Esma R.
Published: January 2023

An imbalance between pro-oxidative and antioxidative cellular mechanisms is oxidative stress (OxS) which may be systemic or organ-specific. Although OxS is a consequence of normal body and organ physiology, severely impaired oxidative homeostasis results in DNA hydroxylation, protein denaturation, lipid peroxidation, and apoptosis, ultimately compromising cells’ function and viability. The thyroid gland is an organ that exhibits both oxidative and antioxidative processes. In terms of OxS severity, the thyroid gland’s response could be physiological (i.e. hormone production and secretion) or pathological (i.e. development of diseases, such as goitre, thyroid cancer, or thyroiditis). Protective nutritional antioxidants may benefit defensive antioxidative systems in resolving pro-oxidative dominance and redox imbalance, preventing or delaying chronic thyroid diseases. This review provides information on nutritional antioxidants and their protective roles against impaired redox homeostasis in various thyroid pathologies. We also review novel findings related to the connection between the thyroid gland and gut microbiome and analyze the effects of probiotics with antioxidant properties on thyroid diseases.
17β-estradiol does not have a direct effect on the function of striatal cholinergic interneurons in adult mice in vitro
Authors: Kövesdi Erzsébet , Udvarácz Ildikó , Kecskés Angéla , Szőcs Szilárd , Farkas Szidónia , Faludi Péter , Jánosi Tibor Z. , Ábrahám István M. , Kovács Gergely
Published: January 2023

The striatum is an essential component of the basal ganglia that is involved in motor control, action selection and motor learning. The pathophysiological changes of the striatum are present in several neurological and psychiatric disorder including Parkinson’s and Huntington’s diseases. The striatal cholinergic neurons are the main regulators of striatal microcircuitry. It has been demonstrated that estrogen exerts various effects on neuronal functions in dopaminergic and medium spiny neurons (MSN), however little is known about how the activity of cholinergic interneurons are influenced by estrogens. In this study we examined the acute effect of 17β-estradiol on the function of striatal cholinergic neurons in adult mice in vitro. We also tested the effect of estrus cycle and sex on the spontaneous activity of cholinergic interneurons in the striatum. Our RNAscope experiments showed that ERα, ERβ, and GPER1 receptor mRNAs are expressed in some striatal cholinergic neurons at a very low level. In cell-attached patch clamp experiments, we found that a high dose of 17β-estradiol (100 nM) affected the spontaneous firing rate of these neurons only in old males. Our findings did not demonstrate any acute effect of a low concentration of 17β-estradiol (100 pM) or show any association of estrus cycle or sex with the activity of striatal cholinergic neurons. Although estrogen did not induce changes in the intrinsic properties of neurons, indirect effects via modulation of the synaptic inputs of striatal cholinergic interneurons cannot be excluded.
Real-time hardware-in-loop based open circuit fault diagnosis and fault tolerant control approach for cascaded multilevel inverter using artificial neural network
Authors: Sivapriya A. , Kalaiarasi N. , Vishnuram Pradeep , Abou Houran Mohamad , Bajaj Mohit , Pushkarna Mukesh , Kamel Salah
Published: January 2023

Multilevel inverters (MLI) are finding widespread in various engineering and commercial applications owing to their immense performance. The cascaded H-bridge (CHB) inverter is the most potential MLI topology for renewable energy applications. The successful operation of the CHB-MLI depends on the integrity of the semiconductor devices and capacitors. Irrespective of its benefits the huge number of switches decreases the reliability of the inverter. Concerning reliability, this article proposes a fault-tolerant (FT) CHB MLI for solar photovoltaic applications. The proposed CHB MLI can withstand both the single and multiple open circuit faults in all the H-bridges of the CHB topology. The diagonally opposite switch pairs of CHB topology have similar fault features which lead to difficulty in finding the fault switches using the analytical fault diagnosis methods. Hence an artificial intelligence (AI) based fault diagnosis (FD) and FT operation of CHB MLI are interpreted. The proposed model offers complete FD and FT operation within one fundamental cycle which is advantageous relative to the existing methods. Compared to the existing methods, the proposed AI-based fault diagnosis strategy achieves a shorter diagnosis time and provides 96% classification accuracy between various fault conditions. Further, the simulation and HIL results demonstrated that the voltage magnitude and THD have been maintained at 8.24% before and after the fault state. In addition, the suggested FT structure ensures the constant output power over the post-fault operation for both single and multiple switch failure instances while improving the MLI resilience. The feasibility and performance of the proposed method have been investigated through related case studies using simulation and hardware-in-the-loop (HIL) tests on a single-phase fifteen-level CHB MLI.
Influence of blade maximum thickness on airfoil performance with varied leading edge erosion rate
Authors: Sun Jinjing , Zhang Shuhan , Cao Peiyu , Qi Linze
Published: January 2023

In this study, the effect of different blade shapes on the aerodynamic performance of NACA series airfoils under a wide variety of working conditions at Reynolds number Re = 700,000 was explored. The SST k-ω turbulence model was used for the CFD method to investigate the effect of leading edge erosion on the aerodynamic performance of NACA series airfoils. The results indicated that an optimal thickness range of the blade exists considering the leading edge erosion. If the airfoil was too thin or too thick, the leading edge erosion increased, and the aerodynamic performance was significantly reduced. However, the aerodynamic performance will not decrease greatly when the thickness was moderate, even if the leading edge erosion increased. For the same airfoil, the less the leading edge erosion, the better its aerodynamic performance will be. When the erosion degree (depth) of the leading edge airfoil was small, the variation of the erosion size would significantly affect the aerodynamic performance of the airfoil. When the erosion size of the leading edge increases to a certain extent, the performance of the blade decreases greatly compared with the original cases, but the sensitivity of the erosion blade performance to the change of the leading edge erosion size decreases.
Capturing the rapid response of sediments to low-oxygen conditions with high temporal resolution gas concentration measurements
Authors: Chua Emily J. , Fulweiler Robinson W.
Published: January 2023

Low-oxygen conditions plague coastlines worldwide. At present, little is known about how the transition from normoxic to low or even no oxygen conditions alters sediment biogeochemical cycling and ultimately ecosystem functioning. Conventional sediment core incubations cannot capture rapid (<hourly) changes in biogenic gas fluxes that may occur due to oxygen depletion. To better constrain the response of sediments to hypoxia, we employed a novel flow-injection system coupled to a membrane inlet mass spectrometer to quantify fluxes oxygen, dinitrogen, and methane across the sediment-water interface from a temperate estuary (Narragansett Bay, Rhode Island, United States). We evaluated how sediments from a site more impacted by nitrogen pollution compare to one less impacted by nitrogen in response to organic matter addition. Our system is able to sample every 10 minutes, allowing us to cycle through triplicate core measurements roughly every 30 minutes to track the response of sediments to increasing hypoxic severity. The high temporal-resolution data revealed dynamic changes in sediment-water gas fluxes, suggesting that reactive nitrogen removal is enhanced under mild hypoxia but dampened under prolonged hypoxia to anoxia. Further we found that organic matter loading enhances both net denitrification and methane emissions. Ultimately, our approach represents a powerful new tool for advancing our knowledge of short-term temporal dynamics in benthic biogeochemical cycling.
National assessment of extreme sea-level driven inundation under rising sea levels
Authors: Paulik Ryan , Wild Alec , Stephens Scott , Welsh Rebecca , Wadhwa Sanjay
Published: January 2023

Episodic inundation from extreme sea-levels (ESLs) will have increasing social and economic impacts in response to relative sea level rise (RSLR). Despite the improved global understanding of ESL frequencies and magnitudes, detailed nationwide inundation maps are unavailable for many countries. This study quantifies New Zealand’s land area exposure to inundation from ESLs and RSLR by: (i) calculating ESL heights for nine annual recurrence intervals (ARI) between 2 and 1,000-years, (ii) converted into space-varying water surface grids, (iii) developing a composite topographical dataset comprised of Airborne Light Detection and Ranging (LIDAR) and bias corrected Shuttle Radar Topography Mission (SRTM), (iv) modifying topographical data to represent mitigation structures, and (v) executing a scalable static model to map land inundation areas for 0.1 m RSLR increments. This modular approach supports continuous integration of new models and data at resolutions appropriate for quantifying inundation hazard and risk trends. In response to 0.1 m–0.4 m RSLR expected in the New Zealand region from 2040 to 2070 under SSP5-8.5 global mean sea level rise scenarios, a rapid cumulative inundation area increase is observed for 10 and 100-year ESL ARIs at national and regional levels. The RSLR time independent maps developed here supports future investigations of ESL inundation hazards and risks for any prescribed RSLR heights or timeframes.
Occurrence and distribution characteristics of PCBs and PBDEs in farmland soils adjacent to electronic circuit board dismantling ruins
Authors: Zhang Zhen , Chen Lin Hua , Tao Min Long , Zhou Dan Dan , Zhang Yuan , Yao Jun , Kong Qing Na , Guo Bin Bin
Published: January 2023

The Nanwan village, a green ecological village in Taizhou city, is used as a recycling area (recycling for heavy metal) for electronic circuit boards and as crushing and stacking sites of waste circuit boards for nearly 20 years from 1980s to 2000s. At present, although the e-waste recycling activities in Taizhou city have been effectively controlled, and many areas polluted by the e-dismantling activities have been gradually remediated except Nanwan village. Nanwan village seems to have been forgotten for its special geographical location, which has attracted our attention because of its ecological and food safety issues. Accordingly, the content of polychlorinated biphenyls (PCBs) and polybrominated diphenyl ethers (PBDEs) in the surface soil around the ruins and four edible agricultural crops were investigated. The main conclusions are as follows: among the four dismantling ruins and surrounding soil samples investigated, the content of Σ20PCBs in vegetable field topsoil of 2(20) is 1,321.3 ± 132.1 μg kg−1; the content of Σ8PBDEs in the paddy soil of 3(1S) is 7,216.9 ± 232.0 μg kg−1; biological toxicity events are likely to occur frequently in 2(20) and 3(1S). PCBs and PBDEs have both horizontal diffusion in distance and vertical diffusion in depth. The lifetime carcinogenic and non-carcinogenic risks of PCBs and PBDEs are at a low risk level, except for the non-carcinogenic risk of PCBs for children in 3(1S). The lifetime carcinogenic and non-carcinogenic risks of PCBs and PBDEs in the edible parts of garlic, ginger, mung beans, and oranges were all at acceptable or negligible levels.
Non-steady-state closed dynamic chamber to measure soil CO2 respiration: A protocol to reduce uncertainty
Authors: Baneschi Ilaria , Raco Brunella , Magnani Marta , Giamberini Mariasilvia , Lelli Matteo , Mosca Pietro , Provenzale Antonello , Coppo Leonardo , Guidi Massimo
Published: January 2023

Non-steady-state closed dynamic accumulation chambers are widely used to measure the respiration of terrestrial ecosystems, thanks to their low cost, low energy consumption and simple transportability, that allow measurements even in hostile and remote environments. However, the assessment of the accuracy and precision associated with the measurement system (independently of possible disturbances due to chamber-soil interactions) is rarely reported. This information is instead necessary for basic quality control, to compare data obtained by different devices and regression models and to provide Confidence Intervals (CIs) on the carbon flux values. This study quantifies the uncertainty associated with emission flux measurements, with a focus on very low fluxes. Calibration tests using different accumulation chambers and CO2 sensors were performed, and fluxes were calculated by means of different models (parametric, non-parametric and flux models). The results of this work show that the linear regression model has the best reproducibility when compared to the other tested models, regardless of the sensor used and the chamber volumes, while the second order polynomial regression has the best accuracy. We remark the importance of building a calibration curve in the range of the expected flux values, with an interval between the lowest and highest imposed flux that should not exceed two orders of magnitude. To evaluate the reproducibility of the measurement, performing replicates for each imposed flux value is essential. We also show that it is necessary to carefully identify the best time interval for interpolating the CO2 concentration curve in order to guarantee reproducibility and accuracy in flux estimates.
Exploration of the regional correlation and network structure characteristics of land prices: A case study of Hebei, China
Authors: Li Can , Wei Wei , Duan Yajing , Feng Zhongjiang , Feng Xiaomiao , Zhu Chenming , An Pengfei
Published: January 2023

It is important to explore the correlation characteristics of land markets among cities in order to promote coordinated developments. Based on the residential land prices in 168 counties in Hebei Province, this study used spatial econometric models and social network analysis to analyze the regional correlation effect and network structure evolution characteristics of residential land prices. The results indicated that: 1) the regional residential land price level has significant global spatial autocorrelation and local autocorrelation. High-High clusters were concentrated in cities around Beijing and Tianjin and provincial capitals, while Low-Low clusters were mostly distributed in central and southern Hebei. 2) The direct effect and spillover effect of influencing factors of residential land price were significantly different. The residents’ purchasing power, the socioeconomic level, and the land resources had significant impacts on the residential land price of the county itself, while the level of infrastructure and the policy environment had significant impacts on the residential land price of neighboring counties. 3) The degree centrality and betweenness centrality of residential land price in central counties of Hebei Province was generally high, showing a trend of agglomeration. However, the peripheral cities of Hebei Province lacked important central nodes in the network structure. From 2013 to 2020, increasing numbers of counties had shown the transmission function of “bridge,” and the balance of land price in the whole region had been constantly improved. The study found that the regional residential land price itself had spatial autocorrelation, and the spillover effect of its related factors was also the driving force that affects the transmission and diffusion of land price between counties. The change in the spatial network of county residential land price was primarily manifested in the transmission process starting from the central cities. The tightness of the spatial network was related to the number and distribution of central nodes. Hebei Province should focus on cultivating urban central nodes with development potential in marginal areas, create more land market growth poles according to local conditions, and accelerate the integration of land factor markets in Beijing, Tianjin, and Hebei to achieve healthy and balanced development of residential land prices. This study made up for the shortcomings of previous studies on land price correlations. The combination of correlation feature analysis and spatial network structure analysis was more helpful to reveal the characteristics of regional land price development, and the results could provide a reference for the formulation of urban land market regulation policies.
Effects of biochar and vermicompost on microorganisms and enzymatic activities in greenhouse soil
Authors: Wu Qianqian , Zhang Jie , Liu Xinna , Chang Tingting , Wang Qian , Shaghaleh Hiba , Hamoud Yousef Alhaj
Published: January 2023

The effects of different contents of biochar and vermicompost on the microbial and enzymatic activities of greenhouse soil were determined to provide a theoretical basis for improving the quality of greenhouse soil. The experiment was conducted in a greenhouse using potted tomatoes. Five treatments consisted of different amount ratios of organic amendments: 1% biochar (BC1), 3% biochar (BC3), 5% biochar (BC5), 3% vermicompost (VC3), and 5% vermicompost (VC5), with no addition of organic amendments as the control (CK). Compared with CK, the pH, organic matter content, and DOC concentration increased in treatment groups. The organic matter content of BC3 and BC5 significantly increased by 54.6% and 72.8%, respectively, and DOC concentration of BC3 significantly increased by 43.9%. Biochar and vermicompost significantly increased the diversity of bacterial and fungal communities in soil, as well as the abundance of Actinomycetes, Acidobacteria, Ascomycetes, and Aspergillus, and reduced the abundance of Aspergillus. The activities of urease and alkaline phosphatase were significantly increased, and the activity of nitrate reductase was inhibited in all treatment groups compared with CK. In addition, a highly significant positive correlation was observed among pH, Acidobacteria phylum abundance, and alkaline phosphatase activity in all treatments. DOC concentration was positively correlated with pH, organic matter content, Acidobacteria phylum abundance and alkaline phosphatase activity. Biochar and vermicompost were effective in improving the physicochemical properties of greenhouse soil, enhancing microbial diversity, and affecting enzymatic activities. Therefore, BC3 (3% biochar) had the most significant effect on community diversity and alkaline phosphatase and nitrate reductase activities. VC5 (5% vermicompost) had the best promotion effect on urease activity. This study highlights that biochar and vermicompost as organic amendments are recommended to improve the quality of greenhouse soils.
Numerical simulation on wind-sand flow field around railway embankment with different wind angles
Authors: Zhang Xian , Xie Shengbo , Pang Yingjun
Published: January 2023

The intersection angles of the railway trend and wind direction are different in practical engineering, resulting in different sand hazard intensities. This research explores the characteristics of the wind-sand flow field, wind speed change, and sand accumulation near railway embankments with different wind angles to reveal the formation mechanism of sand hazards. A numerical simulation of the wind-sand flow field around embankments under wind angles of 15°, 30°, 45°, 60°, 75°, and 90° with different friction wind speeds is conducted on the basis of the Euler two-phase flow model; moreover, the variation law of wind speed and the characteristics of sand accumulation distribution near the railway are discussed. Results indicate that when the wind-sand flow moves to the embankment, it is obstructed and forms different velocity zones. The deceleration zone on both sides of the embankment and the acceleration zone above the embankment increase remarkably with the increase in wind angle. When the friction wind speed is constant, the greater the wind angle, the greater the variation of wind speed near the surface around the embankment, which is more evident on the leeward side of the embankment. The sand accumulation amount on both sides increases with the increase in the wind angle. Under a wind angle of 30°, almost no sand accumulated on the leeward side slope. With the increase in friction wind velocity, the sand accumulation amount on the windward side of the other embankment decreased except for the embankment with a wind angle of 90°, and that on the leeward side of the other embankments decreased except for the embankment with a wind angle of 15°. These results provide a theoretical basis for the route survey and design of the railways in blown sand areas and the optimization of prevention and control measures.
Spatiotemporal heterogeneity effect of technological progress and agricultural centrality on agricultural carbon emissions in China
Authors: He Huanhuan , Ding Rijia
Published: January 2023

Reducing agricultural carbon emissions is an important aspect of achieving China’s carbon peak and neutrality goals. Different agricultural centrality result in different agriculture status and role in different regions, affecting agricultural carbon emissions. In this study, agricultural centrality is introduced from the perspective of social network analysis. Spatial autocorrelation analysis, geographically and temporally weighted regression (GTWR) and other methods are used to empirically explore the effect of technological progress and agricultural centrality on the spatiotemporal heterogeneity of agricultural carbon emissions. The moderating effect of agricultural centrality on the relationship between technological progress and agricultural carbon emissions is further explored. The results show that 1) during the research period (2001–2019), the agricultural carbon emissions first increased and then decreased, with remarkable spatial agglomeration characteristics, revealing a significant spatial autocorrelation of carbon emissions among provinces; 2) provinces have distinctly uneven characteristics in the social network of agricultural carbon emissions, while the same province shows relative consistency in terms of location centrality and betweenness centrality. Areas with high centrality are the major grain producing areas, and they invariably play an important role in the spatially linked network of agricultural carbon emissions; 3) technological progress has an inhibitory effect on agricultural carbon emissions, and the regression coefficient decreases from western to eastern regions, demonstrating a spatial gradient distribution. The location centrality has a negative effect on agricultural carbon emissions, with significant spatial heterogeneity. The effect of betweenness centrality on agricultural carbon emissions has increased from positive to negative over time, and the promotion of each province’s intermediary role has inhibited the increase of agricultural carbon emissions; 4) both agricultural location centrality and betweenness centrality have significant positive moderating effects on the relationship between technological progress and agricultural carbon emissions. With the increase of location centrality and betweenness centrality, technological progress has an increasingly strong inhibitory effect on agricultural carbon emissions. We put forward targeted suggestions based on different agricultural centrality in order to reduce agricultural carbon emissions and provide directions for achieving the China’s carbon peak and neutrality goals and the Sustainable Development Goals of the United Nations’ Agenda 2030.
Bibliometric study on environmental, social, and governance research using CiteSpace
Authors: Zhao Xiangying , Nan Dongyan , Chen Chaomei , Zhang Shunan , Che ShaoPeng , Kim Jang Hyun
Published: January 2023

This paper offers an overview of the status of and emerging trends in environmental, social, and governance (ESG) research through a bibliometric approach using CiteSpace. In particular, our study aimed to elucidate the overall intellectual structure of the environmental, social, and governance academic field. To this end, we performed a topic search related to the environmental, social, and governance field and gathered published articles (2007–2021) from the Web of Science. Subsequently, we identified productive authors, institutes, and countries/regions to determine main research forces in the environmental, social, and governance field. Additionally, we conducted a co-citation analysis to identify highly cited authors, journals, and literatures in the environmental, social, and governance field. Furthermore, we performed a literature-co-citation-based cluster analysis and literature citation burst analysis to confirm the main themes and hotspots of the environmental, social, and governance field. These analyses can contribute to the investigations of key contributing forces in the environmental, social, and governance field at the author, institution, country/region, and journal levels and provide insights into the knowledge structures and orientations of the environmental, social, and governance field for future research.
Hospital wastewater as hotspots for pathogenic microorganisms spread into aquatic environment: A review
Authors: Yuan Tingting , Pian Yaya
Published: January 2023

Combined with human-to-human contact, the potential for SARS-CoV-2 virus transmission via aerosols and feces raises the urgency for effective treatment of hospital wastewater (HWW), which has been assumed as an important source of pathogenic microorganisms spreading into aquatic environments. However, there are few reviews discussing the presence and removal of pathogens in hospital wastewaters matrices. This review summarizes the pathogenic microorganisms including bacteria, fungi, viruses and parasites present in hospital wastewater, the related diseases and treatment processes. In addition, the removal of pathogens during hospital wastewater treatment process is reviewed, including the preliminary process, secondary process and tertiary process. Due to the growing concerns over the effects of the current global pandemic on hospital wastewater treatment process, further research is necessary to investigate the actual fate of pathogens in hospital wastewater and optimize disinfection processes.
Research on monitoring and stability evaluation of ground subsidence in gypsum mine goaf
Authors: Xu Zaicheng , Xu Wei , Zhu Zhenhua , Zhao Junyi
Published: January 2023

The geological disasters caused by the ground deformation of the goaf have brought huge security risks to the ecological environment and society. Therefore, it is imminent to realize the effective monitoring and stability analysis of the ground deformation of the goaf. In this paper, taking the goaf of the gypsum mine in Diaodao District, Jingmen City as an example, through the investigation of the overall structure and distribution characteristics of the gypsum goaf, combined with the mechanical parameters of the rock mass selected from the site, the InSAR and GNSS technology are used to analyze the ground of the goaf of the gypsum mine. Deformation monitoring is carried out to give full play to the advantages of InSAR monitoring with high vertical accuracy and GNSS monitoring with high horizontal accuracy. Analyzed the thickness conditions of the mined-out area of pillar, roof and overlying rock, established the numerical model of the goaf, and used FLAC (3D) to carry out numerical simulation on this basis to evaluate the stability of the goaf. The research shows that two subsidence areas and three deformation areas were deciphered by DInSAR and time series InSAR, respectively, and the deep buried areas in the goaf were monitored by GNSS. The surface deformation is dominated by horizontal displacement, and the direction of horizontal displacement is the whole points to the goaf. Finally, based on the conclusion that the gob is in different degrees of deformation, the stability of the gob is analyzed, and the area of surface subsidence is obtained by FLAC (3D) simulation.
AHP Analyser: A decision-making tool for prioritizing climate change mitigation options and forest management
Authors: Soam Sudhir Kumar , N Srinivasa Rao , BS Yashavanth , Balasani Raghupathi , S Rakesh , Marwaha Sudeep , Kumar Prabhat , Agrawal R. C.
Published: January 2023

Agricultural and Forest Research and Environmental Management entail significant decisions that can impact research findings. Better findings come from well-managed research. In the research and management, a practical methodology approach is used to improve decision-making and prioritise numerous possibilities and research programmes. However, most research scientists need help setting the priority for the research project. A web-based decision-making system, i.e., the Analytic Hierarchy Process (AHP) methodology, provides support and solutions in prioritising the research project options based on multi-criteria decisions in order to eliminate these barriers in agricultural research and management. Considering these factors, the National Academy of Agricultural Research Management (NAARM), Hyderabad, Telangana, India, devised and developed “AHP Analyser”, a web-based group decision-making tool for prioritising the climate change mitigation options of research projects using an analytic hierarchy approach. It was created with PHP, JavaScript, and MySQL and is available at https://naarm.org.in/ahp/. In the present research article, we have briefly discussed the AHP methodology, analytics of publication on AHP usage, primary features of the AHP Analyser, which was built by using AHP methodology, and a case study that shows how the AHP Analyser was used to mitigate climate change in the forestry sector. Study concluded that AHP methodology can be widely applicable in various sectors for decision making, portfolio management and prioritisation; also contributes to the sustainable development goals (SDGs). Therefore, creating awareness on the advantages of AHP methodology among the researchers is critical to bring quality outputs in the research field.
Sustainable land use and green ecology: A case from the Beijing 2022 Winter Olympics venue legacy
Authors: Wang Weihao , Liu Zhaoran , Bu Te , Jiao Fangqian
Published: January 2023

According to the Olympic Charter, the construction of new permanent venues or infrastructure for the purposes of the organization of the Olympics shall only be considered on the basis of sustainable legacy plans. However, as time passes, the Olympic legacies grow increasingly unsustainable and create conflicts between humans and nature. This perspective examined the spatial distribution of the Beijing 2022 Winter Olympics venue legacy. We presented a spatial assessment of Olympic venues’ legacy experience in terms of construction and sustainability. The findings indicate that the Beijing 2022 Winter Olympics venues incorporated sustainable land management and green ecology concepts from the Olympic Movement, and that the legacy could serve as an example for future development of Olympic infrastructure, natural sites, and resource management.
Hydrological sustainability of in-pit reclaimed oil sands landforms under climate change
Authors: Nagare Ranjeet M. , Kiyani Ali , Park Young-Jin , Wirtz Rob , Heisler Dallas , Miller Glen
Published: January 2023

Development of robust reclamation designs would require understanding the relative effects of climate change on the water budget of reclaimed Athabasca oil sands landforms (Alberta, Canada). A surplus water budget is critical to sustain pit lakes and periodically freshen localized surface water ponds within the closure landscape. In this study, four hypothetical future climate scenarios were developed from statistically downscaled RCP2.6 and RCP8.5 climate projections and used in a hydrological model to investigate the potential effects of climate change on the water budget of an in-pit reclaimed oil sands mine landform. The four scenarios allowed the assessment of climate change effects for endpoints that bracket a range of future climate conditions on the water balance of the landform. Surface water and groundwater flow and chloride transport were simulated for the 2024–2100 period using daily climate forcing and the results were compared with equivalent responses under historical climate (1944–2020). The results suggest that the hydrological behavior under historical and RCP2.6 scenarios is similar. The climatic water deficit (potential evapotranspiration exceeding precipitation) will rise significantly under the RCP8.5 scenario. However, the modeling suggests that the water budget of the landform will not be too different from the early 21st century prolonged dry climate period. The chloride released from the landform under the different projected and historical climate scenarios also remained similar. Although evapotranspiration increases and leads to relatively drier conditions, a modest increase in precipitation helps maintain a surplus water budget in most years. The results demonstrate that incorporating future climate projections into water balance analyses is crucial to understand the potential reductions in runoff depths.
The dynamic relationship among technological innovation, international trade, and energy production
Authors: Zhang Min , Jain Vipin , Qian Xinze , Ramos-Meza Carlos Samuel , Ali Syed Ahtsham , Sharma Paritosh , Ahmed Mohamed Mady Ahmed , Haddad Akram M. , Shabbir Malik Shahzad
Published: January 2023

The primary objective of this study is to analyze the dynamic association among the green energy production (GEP), green technological innovation (GTI), and green international trade (GIT). This study uses fully modified least square (FMOLS) and dynamic least square (DOLS) for data analysis. This study uses the panel data set starts from 2000 to 2020 for eight south Asian countries. This study find a negative relationship between GEP and EFP. However, green technological innovation and green international trade have positive significant association. This study recommends several policy implications regarding the economies of south Asia (SA) based on empirical findings: to subsidize the industries for the installation of renewable projects for the production of renewable energies.
Phosphorus extractability in relation to soil properties in different fields of fruit orchards under similar ecological conditions of Pakistan
Authors: Bibi Sumera , Irshad Muhammad , Ullah Farid , Mahmood Qaisar , Shahzad Muhammad , Tariq Muhammad Atiq Ur Rehman , Hussain Zahid , Mohiuddin Muhammad , An Ping , Ng A. W. M. , Abbasi Asim , Hina Aiman , Gonzalez Norela C. T.
Published: January 2023

Productivity of an orchard generally depends upon the fertility of the soil and the nutrient requirements of the fruit trees. Phosphorus (P) extractability from soils influences the P sorption, release patterns, and P bioavailability. A study was carried out to investigate P extractability via seven extraction methods in relation to soil properties in three fruit orchards. In total, 10 soil samples were collected from each fruit orchard, namely, citrus (Citrus sinensis L.), loquat (Eriobotrya japonica L.), and guava (Psidium guajava L.), located in similar ecological conditions to the Haripur district of Pakistan. Available P in the soil was extracted using deionized H2O, CaCl2, Mehlich 1, Bray 1, Olsen, HCl, and DTPA methods. Selected soil properties [pH, electrical conductivity (EC), soil organic matter (SOM)], texture, cation exchange capacity (CEC), macronutrients, and micronutrients were also determined. Soils sampled from orchards indicated significant differences in soil properties. Orchards have sequestered more amount of C stock in soil than without an orchard. The extractability of P from soils was profoundly affected by P extraction methods. The average amount of extractable P was relatively higher in those soils where the total amount of P was also higher. These methods extracted different pools of soil P with varying P concentrations regulated by the soil properties. Phosphorus amounts extracted were varied in the order of HCl > DTPA > Mehlich 1 > Bray 1 > Olsen > CaCl2 > water. Among orchards, a higher amount of P was found in soils of loquat followed by citrus and guava orchards. Regardless of the method, subsurface soil got a lower concentration of extractable P than surface soil in all orchards. The extractable P was highly associated with soil properties. DTPA extractable P was related to SOM soil clay content and CEC by R2 values of 0.83, 0.87, and 0.78, respectively. Most of the extraction methods were positively correlated with each other. This study indicated that SOM inputs and turnover associated with orchard trees exhibited a substantial quantity of extractable P in soils. Predicting available P in relation to its bioavailability using these methods in contrasting soils is required.
Suitability of band angle indices for burned area mapping in the Maule Region (Chile)
Authors: Oliva Patricia , Mansilla Roxana , Roteta Ekhi , Pérez-Martínez Waldo
Published: January 2023

In January 2017, 114 active fires burned throughout Chile at the same time. These fires spread quickly due to high temperatures, fast dry winds, and low vegetation water content. The fire events burned more than 570,000 ha, from which 20% of the area was endangered native forest. Timely and accurate burned area mapping is crucial for the evaluation of damages and management of the affected areas. As Chile is a diverse country with many types of ecosystems and vegetation, the use of novel spectral indices may improve the accuracy of satellite data-based burned area mapping algorithms. In this study, we explored the contribution of band angle indices (BAnI) to burned area mapping. The BAnI are based on trigonometric equations that proved to be sensitive to moisture conditions. Then, we aimed to test their sensitivity to the burned area spectral signature. We used Sentinel-2 data at 20 m resolution to calibrate and implement a random forest (RF) classifier in Google Earth Engine (GEE) computing platform. We ran the RF classifier with and without BAnI to evaluate their potential to identify burned areas and performed two accuracy assessments comparing the results with visually digitized fire perimeters from (1) WorldView 3 (WV3) images, and (2) Sentinel at 10 m resolution. We determined that both BA classifications were more accurate than the perimeters created by the Chilean National Forest Corporation (CONAF), which overestimates the area burnt. The overestimation of CONAF perimeters is produced by considering as burned the inner unburned areas and omitting some small, burned areas. The first assessment showed no significant differences between the two RF classifications. However, the second validation showed lower omission and commission errors for the RF classifier with the BAnI (5 and 17.8%, respectively). On the other hand, comparing both BA classifications with and without BAnI, we observed differences in the spatial distribution of the errors. However, the RF classification with BAnI offered fewer commission errors located in agricultural areas. The burned area algorithms developed in GEE showed their potential to map the fire-affected area quickly, efficiently, and accurately, accounting for all the areas burned in the season, including the small and agricultural fires the official perimeters did not consider.