bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis On Spatial Distribution And Influencing Factors Of China National Forest Villages Based on GIS
Authors: Wei Zhen , Zhang Fengtai , Li Yuzhen , An Youzhi , Sun Changcheng , Yang Qing , Wu Jianfeng 
Published: June 2021

Abstract
As a carrier to promote rural greening and beautification and further implement the rural revitalization strategy, it is of great significance to study the spatial distribution characteristics of China national forest villages and its influencing factors. Taking 7586 China national forest villages as examples, the spatial distribution characteristics and influencing factors of China national forest villages were studied by using such methods as nearest neighbor index, Tyson polygon, cold hot spot analysis, standard deviation ellipse and kernel density index. The results showed that: (1) the overall clustering distribution characteristics of China national forest villages were significant, and the distribution type was agglomeration. There was no breakthrough in the Hu Huanyong Line, and the southeast of the line was the main concentration area. (2) From the perspective of spatial clustering, it shows the distribution characteristics of "hot spots in the south and cold spots in the north". Hot spots are mostly located in the south, represented by Sichuan, Guangdong, Hunan, etc., while cold spots are mostly in the north, mainly in Xinjiang, Xizang, etc.(3) From the perspective of spatial distribution direction, the standard deviation ellipse coincidence degree of the two batches is relatively high. The two batches are distributed in a dense direction from northeast to southwest with Suizhou city, Hubei as the geometric center. The concentration degree of the second batch increases on the basis of the first batch, showing a trend of migration and distribution in the southwest.(4) From the perspective of the distribution characteristics of kernel density, the distribution of kernel density has a strong correlation with two factors, one is the forest vegetation coverage, the other is the distribution location of urban agglomeration;(5) Elevation, slope direction, river basin, traffic are important factors affecting the distribution of China national forest villages, which show the spatial distribution characteristics of "low altitude, positive, near water and convenient transportation". Based on the spatial distribution characteristics and influencing factors, the paper puts forward policy Suggestions for the evaluation and construction of China national forest villages in the future.
Effect of Tai Chi Versus Aerobic Exercise On Blood Pressure In Prehypertension Patients (TCOBPP): A Study Protocol For A 12-Month Single-Blind Randomized Controlled Trial
Authors: Li Xinye , Gao Yonghong , Wu Min , Wei Dawei , Xiong Xingjiang , Yang Yan , Jiang Yuchen , Pan Xiandu , Zhao Ran , Yang Fan , Sun Jiahao , Yang Shengjie , Tian Li , Ban Linqiang , Li Xingye , Chang Peifen , Xing Yanwei 
Published: June 2021

Abstract
Background: Compared with optimal blood pressure (BP), the prehypertension increases the risk of incident hypertension, cardiovascular (CV) events and death. Moderate intensity of regular physical activity can reduce BP. However, aerobic exercise has some limitations. As a safe, low-impact, enjoyable, and inexpensive form of exercise, that requires minimal equipment and space, Tai Chi is expected as a viable alternative to aerobic exercise. The study aimed to assess the effect of Tai Chi intervention program, compared with aerobic exercise, on the BP in prehypertension patients. Methods: This study is a 12-month, two-center, single-blind, parallel, randomized controlled trial. 340 patients with prehypertension [with a systolic blood pressure (SBP) in the range of 120 mmHg to 139 mmHg and/or a diastolic blood pressure (DBP) in the range of 80 mmHg to 89 mmHg] are randomized to one of two intervention groups in a 1:1 ratio: Tai Chi or aerobic exercise. BP monitoring methods of office blood pressure, ambulatory blood pressure monitoring (ABPM) and home blood pressure monitoring (HBPM) are used at the same time to detect BP in multiple dimensions. The primary outcome is the comparison of SBP change from baseline to 12 months in Tai Chi group and SBP change from baseline to 12 months in aerobic exercise group. The secondary endpoints are as following: (1) the comparison of DBP of office blood pressure change from baseline to 12 months between Tai Chi group and aerobic exercise group; (2) the comparison of BP and the variability of BP assessed through ABPM change from baseline to 12 months between Tai Chi group and aerobic exercise group; (3) the comparison of BP assessed through HBPM change from baseline to 12 months between Tai Chi group and aerobic exercise group.Discussion: This will be the first randomized controlled trial to specifically study the benefits of Tai Chi on the blood pressure control in patients with prehypertension. The successful completion of this study will help to provide evidence for whether Tai Chi is more desirable than aerobic exercise.Trial Registration Number: Chinese Clinical Trial Registry, ChiCTR1900024368. Registered on 7 July 2019, http://www.chictr.org.cn/edit.aspx?pid=39478&htm=4
COVID-19 and Mental Health: a Longitudinal Population Study from Norway
Authors: Hvide Hans , Johnsen Julian 
Published: June 2021

Abstract
Existing research has found negative short-term consequences of the COVID-19 pandemic on mental health problems, but longer-term effects have been less documented. Using newly released register data on all general practitioner consultations in Norway through 2020 (about 14 million consultations in total), we find that during the spring and early summer 2020, the number of psychological cases initially increased relative to prior years, but then fell back towards the level of prior years during the summer 2020. In early September 2020, the number of cases accelerated, a pattern that held up through December 2020, so that the gap between 2020 and prior years became largest end-of-year. Our findings suggest that the accumulated effects of the COVID-19 pandemic on mental health far exceeds the short-term effects. The effects were particularly strong for females and for residents in urban areas.
Does Preoperative Serum Neutrophil To Lymphocyte Ratio (NLR), Platelet To Lymphocyte Ratio (PLR) And Lymphocyte To Monocyte Ratio (LMR) Predict Prognosis Following Radical Surgery For Pancreatic Adenocarcinomas? - Results of A Retrospective Study.
Authors: Gupta Vikas Bachelal , Chaudhari Vikram , Shrikhande Shailesh V. , Bhandare Manish S. 
Published: June 2021

Abstract
Background:Pretherapy serum neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and lymphocyte to monocyte ratio (LMR) have been shown to predict prognosis in patients with pancreatic ductal adenocarcinoma (PDAC). However, the published literature is conflicting, hence we aimed to evaluate their role in predicting survival outcomes in operated patients of PDAC.Methods: A retrospective analysis was done of all operated cases of PDAC who underwent curative resection between 2011 to 2018. The pretherapy NLR, PLR and LMR were calculated and analyzed with respect to pathological and survival outcomes Results:134 operated patients were included. The median overall survival for NLR of less than 2, 2.7 and 5 was 30.8, 27.2 and 27.5 months and for NLR more than 2, 2.7 and 5 was 22.9, 21.6 and 21.5 months respectively and was statistically insignificant (p-value- 0.32, 0.91, 0.34 respectively). Similarly, the PLR was not significant for a cut off of 150 (p-value- 0.27) and LMR was not significant for a cut off of 2.8 (p-value- 0.13) and 4.8( p-value -0.11). On Univariate analysis age, CA 19-9, perineural invasion, margin positivity, lymph node positivity and TNM stage were found to have significant correlation with overall survival. However, on multivariate analysis, only TNM stage was found to be significant. Conclusion:The NLR, PLR and LMR do not correlate with overall survival in operated patients with PDAC in this study. A combination of inflammatory markers or their dynamic testing might probably achieve prognostic significance.
Joint Transmit and Receive Antenna Selection in MIMO Systems Based on Swarm Intelligence Algorithm
Authors: Yiwen Zhang , Sunqing Su , Wenliang Liao , Guowei Lei , Guangsong Yang 
Published: June 2021

Abstract
In multiple-input-multiple-output (MIMO) systems, the selection of receive and transmit antennas is not just effective in increasing system capacity, but also in reducing RF link costs and system complexity. The exhaustive algorithm, i.e. the joint transmit and receive antenna selection (JTRAS) with the best accuracy, can search all the subsets of both transmit and receive antennas in order to find the optimal solution. However, with the increase of the number of antennas, the computational complexity is too large and its applicability is limited. In this paper, the antennas are coded by fractional coding with the maximization of channel capacity as the basic criterion, and three intelligent algorithms, namely genetic algorithm, cat swarm algorithm and particle swarm algorithm, are applied for antenna selection. The simulation results demonstrate that all three algorithms can efficiently accomplish the antenna selection. In the end, we compare them in terms of speed, accuracy and complexity of the search in MIMO systems.
Deep Learning Method for Building Image Localization in Smart City
Authors: Long Yuanpeng , zhang guo , Pang Yu , Wang Huiqian 
Published: June 2021

Abstract
In recent years, with the construction and development of smart cities, the rapid popularization of the Internet of Things and the sharp increase of Internet users, a large amount of multimedia data with geo-location information shared by users has emerged.However, only a small part of the image data is used correctly.Therefore, building detection can not only realize geographic positioning, but also has guiding significance for GIS mapping and automatic updating.With the extensive application of convolutional neural network and cyclic neural network in image processing, this paper proposes that the BFPN-RCNN algorithm can be used to recognize the curved buildings in the image.By comparing with other image detection algorithms on different data sets, it is proved that the proposed algorithm can effectively locate curved images in natural scene images.
The Response Relationship between Land Use/Land Cover and Watershed Lagged Effect based on Different Time Scales--A Case Study in Central Guizhou of China*
Authors: he Zhonghua , Zhao Cuiwei , Liang Hong , Yang Zhaohui 
Published: June 2021

Abstract
As we all know, the drought occurrence indicates that there is no rainfall or little rainfall in a certain period. However, the no or little rainfall does not mean that the droughts must be occur, and the occurrence of droughts shows a certain lag in the different areas. This paper analyzes the characteristics of watershed lagged effects and human activities in Central Guizhou of China (CGC) by the Lagged Index (LI) and Landscape Index (LI) based on the land use data, rainfall and runoff data during the periods of 1971–2016.The results show that ①the influence difference of the same land use type on the lagged intensity was particularly significant(P < 0.001)in the different ages (1970s-2010s). Among them, it gradually increased for the impacts of the wood land, grass land and cultivated land on the lagged intensity with the increasing of ages, and reached the maximum in the 2000s, and reached the maximum in the 2000s, while it did not change significantly for the water land and construction land.②The impact of land use type transfer on watershed lagged effects is particularly significant (P < 0.001).Among them, it gradually increases for the wood land transfer with the prolongation of lagged periods, and reaches the maximum for the construction land transfer in the lag-1 period (Xt−1), and is not significant for the rest type transfer.③The impact differences of the principal components (Zs) on watershed lagged effects are particularly significant for the morphological characteristics of land use types in different lagged periods (Xt−0-Xt−3), and different ages (1970s-2010s), as well as the different time scales (1–12 months). Among them, it is the largest for the impact of grass land and water land on watershed lagged intensity, and gradually increases with the increasing of time scales (the maximum in the 9-month scale), followed by the wood land and cultivated land with the maximum in the 9- and 6- month scales, respectively. And it is the smallest for the construction land, and gradually increases with the increasing of time scales (the maximum in the 9-month scale).
Diversity and Host Plants of Tephritidae From Two Islands of the Comoro Archipelago (Grande-Comore and Moheli).
Authors: Bakar KASSIM , ÜSTÜNER Turgay 
Published: June 2021

Abstract
This paper summarizes the different host plants and fruit flies present in two islands (Grande-Comore and Mohéli) of the Comoros Archipelago. Different exotic and wild fruit plants were sampled. Eighty plant species, potential hosts, belonging to thirty-four families were collected and incubated for the emergence of fruit flies from December 2019 to September 2020. Twenty-five plant hosts from ten families comprising cultivated and wild fruits have been identified. Fruit fly infestation rates per kilogram of fruit (T.Kg-1 ) varied from plant to plant. Exotic fruit plants, which accounted for more than half of infested plants, including Cucumis melo, Cucurbita pepo, Prunus persica, Coffea arabica and Capsicum frutescens had high infestation rates. For wild plants, the highest infestation rates have been observed in some families including Combretaceae, Cucurbitaceae, Solanaceae and Vitaceae. The highest infestation rate per kilogram of fruit was observed in a wild plant: Cyphostemma lageniflorum. Thirteen new host plants infested by Tephritidae are reported and/or listed for the first time in Comoros. In total, eight species of fruit flies identified. However, the species Bactrocera dorsalis Hendel, 1912 (47.5%) and Dacus bivittatus (Bigot, 1858) (37.6%) were the most representative of the Tephritidae that emerged.
Differences in above-ground resource acquisition and niche overlap between a model invader (Phragmites australis) and resident plant species: Measuring the role of fitness and niche differences in the field
Authors: Robichaud C. D. , Rooney R.C 
Published: June 2021

Abstract
Identifying the mechanisms that result in a “high impact” invasive species can be difficult. Coexistence theory suggests that detrimental invasive species can be better predicted by incorporating both niche differences and fitness differences than examining niche overlap alone. Specifically, detrimental invasive species should take up shared limited resources more efficiently than their neighbouring resident species. While there is clear evidence that invasive Phragmites australis is successfully displacing resident species, there remains few field studies that attempt to quantify the niche overlap and fitness difference between P. australis and the species it is displacing in the field. Using P. australis we measured differences in photosynthetic performance (carbon assimilation rates, δ 13 C, photosynthetic water use efficiency, biomass), the effects of competition for photosynthetically active radiation, and niche overlap between P. australis and three resident freshwater wetland species ( Calamagrostis canadensis, Carex aquatilis, and Typha spp.) growing with or without interspecific competition . Invasive P. australis intercepted more photosynthetically active radiation, assimilated more carbon more efficiently, and had a larger niche region compared to resident species. Resident plant species showed a significant decrease in photosynthetic performance when growing in competition with P. australis and had a high probability of overlap onto the niche space of P. australis. These results provide evidence that the ability of P. australis to reduce the availability of a required resource and more efficiently use it over the growing season, while exhibiting high niche overlap with resident species, likely contributes directly to its success in North American freshwater wetlands.
Quantitative Methods for Predicting Underground Construction Waste Considering Reuse and Recycling
Authors: Chen Rui , Li Lanxin , Yang Kai , Ren Fumin , Xi Chenggang , Lin Yang , Zheng Hai 
Published: June 2021

Abstract
The construction industry has been greatly developed in the past few decades, especially in the extensive use of underground space. The increasing amount of waste (e.g., soil, sludge, and rock) generated in the underground construction constitutes an important part of construction and demolition waste (CDW) but the related problems are rarely addressed in an independent quantitative study. In order to facilitate recycling of underground construction waste (UCW), quantitative methods for predicting UCW are proposed based on mass conservation in this study. Through on-site investigation and literature review, the source characteristics of UCW and corresponding recycling potential are firstly analyzed. Secondly, the corresponding quantitative mothed is proposed for predicting each type of UCW according to the principle of mass conservation. Finally, the proposed quantitative methods are applied in two real underground infrastructure projects to verify the accuracy. The results show that the accuracy of quantitative methods for predicting shield sludge and engineering soil is 82.03%-95.79% and 94.49% respectively. In addition, detailed geological and geotechnical analysis is the key to accurate management of waste generated in underground civil and infrastructure projects. In both cases, underground construction produced a large amount of construction waste with great recycling potential. UCW can theoretically reach 100% recycling, and full reuse and recycling of UCW will bring huge economic value and be conducive to the sustainable development of the construction industry.
When hot meets cold: post-flare coronal rain
Authors: Ruan Wenzhi , Zhou Yuhao , Keppens Rony 
Published: June 2021

Abstract
All solar flares demonstrate a prolonged, hourlong post-flare (or gradual) phase, characterized by arcade-like, post-flare loops (PFLs) visible in many extreme ultraviolet (EUV) passbands. These coronal loops are filled with hot – ~30MK – and dense plasma, evaporated from the chromosphere during the impulsive phase of the flare, and they very gradually recover to normal coronal density and temperature conditions. During this gradual cooling down to ~1MK regimes, much cooler – ~0.01MK – and denser coronal rain is frequently observed inside PFLs. Understanding PFL dynamics in this long-duration, gradual phase is crucial to the entire corona-chromosphere mass and energy cycle. Here we report the first simulation in which a solar flare evolves from pre-flare, over impulsive phase all the way into its gradual phase, which successfully reproduces post-flare coronal rain. This rain results from catastrophic cooling caused by thermal instability, and we analyse the entire mass and energy budget evolution driving this sudden condensation phenomenon. We find that the runaway cooling and rain formation also induces the appearance of dark post-flare loop systems, as observed in EUV channels. We confirm and augment earlier observational findings, suggesting that thermal conduction and radiative losses alternately dominate the cooling of PFLs. Since reconnection-driven flares occur in many astrophysical settings (stellar flares, accretion disks, galactic winds and jets), our study suggests a new and natural pathway to introduce multi-thermal structuring.
Longitudinal Change of Postoperative Serum Anti-thyroglobulin Antibody Levels in Patients Without Total Thyroidectomy and Remnant Ablation
Authors: Tanaka Katsuhiro , Mikami Tsuyoshi , Kawano Shiori , Sasaki Azusa , Sohda Mai , Ogata Ryohei , Saito Wataru , Kishino Emi , Koike Yoshikazu , Yamamoto Yutaka 
Published: June 2021

Abstract
Background: There is little information regarding postoperative thyroglobulin antibody (TgAb) changes in patients without a total thyroidectomy and ablation. This study aimed to analyze the longitudinal change of TgAb levels in patients with remnant thyroid.Methods: The study group were patients who had undergone a non-total thyroidectomy for a thyroid tumor from 1996 to 2018. The median follow-up period was 3.5 years (1–7.5 years). Eligible patients had a combined serum Tg and TgAb measurement at least three times biannually. We excluded patients with thyroid dysfunction at the initial diagnosis or with papillary carcinoma who had persistent or any recurrence of disease. Results: A total of 222 patients were enrolled. In the preoperative analysis, 42 (30%) patients had positive TgAb values, and 98 were negative (70%). Seventeen years after the operation, a TgAb value over 1000 IU/ml was not seen. The positive TgAb ratio was stable for 12 years (20%–30%); however, its positivity gradually increased from 13 years onward to 53.8%. The number of patients with consistently negative and positive TgAb values was 151 (68.0%) and 48 (21.6%), respectively. The number of patients with a mixture of positive and negative TgAb values was 10 (4.5%). The number of patients who changed from positive to negative values was six (2.7%) and, inversely, seven (3.2%). Conclusions: We found positivity of TgAb after surgery gradually increases over about 10 years in patients with normal remnant thyroid. We should measure both serum Tg and TgAb values concurrently for the patients with remnant thyroid tissue throughout.
Synthesis of Large Pore LTL and MOR Zeolites and Use as Adsorbent for The Removal of Heavy Metal and Radioactive Metal Ions in Aqueous Solution
Authors: Nguyen Duy Hoai-Phuong , Le Quang Thanh , Pham Tung Cao Thanh , Le Thanh Tu 
Published: June 2021

Abstract
Heavy metal and radioactive ions can cause serious environmental problems if they are not completely removed from wastewater as well as in groundwater. In this study, large pore LTL and MOR zeolites were successfully synthesized and used as adsorbent to remove Pb2+, Cu2+, Zn2+, Cd2+, Cs+ and Sr2+ ions in aqueous solution. At low initial concentration (10 ppm), LTL and MOR zeolites effectively removed above metal ions with removal efficiency in the range of 95–99%. Both zeolites showed high affinity to Cs+ and Pb2+ ions with the adsorption capacity of LTL zeolite to Cs+ and Pb2+ were 278.8 mg/g and 141.4 mg/g, and that of MOR zeolite were 238.8 mg/g and 178.9 mg/g, respectively. The EDS results showed that Pb2+ ions from the aqueous solution were exchanged with exchangeable Na+ ions in MOR zeolite and K+ ions in LTL zeolite. The pseudo-second-order kinetic model and Langmuir isotherm model fitted better to experiment data on the adsorption of metal ions on both LTL and MOR zeolite. This result revealed that the adsorption of these metal ions on LTL and MOR zeolite was monolayer chemisorption. The equilibrium adsorption results showed that the microstructure of zeolite significantly affected the adsorption capacity of LTL and MOR zeolite on removal of tested metal ions.