bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatial Conservation Prioritisation as Part of a General Land Use Planning Process&nbsp;
Authors: Toivonen Tuuli , Kuusterä Johanna , Jalkanen Joel , Kukkala Aija , Lehtomäki Joona , Aalto Silja , Moilanen Atte 
Published: February 2021

Abstract
CONTEXT. Land use decisions are essential for reaching of biodiversity conservation targets. Usually, conservation is planned separately from other land use, using specialised approaches such as spatial conservation planning and prioritisation (SCP). This separation of processes makes it difficult to optimise between competing land uses or to plan for land sharing solutions. OBJECTIVES: We present a real-life planning case where SCP was integrated to regional planning process from early on. The aim is (i) to present the process and its results, and (ii) based on the experiences, to evaluate and discuss the potential and challenges of integrating SCP to a general land use planning. METHODS: We present the regional planning of the Helsinki-Uusimaa region in Finland where SCP was integrated as part of the general land use planning process between 2014 and 2018. We applied Zonation software and a diverse collection of spatial biodiversity data and carry out various spatial prioritizations guided by planners and environmental experts. We compared the priority areas to future plans (Uusmaa 2050). RESULTS: We show high spatial variation of biodiversity in Uusimaa region and SCP is able to highlight sites of high importance for biodiversity aware planning. Roughly 70% of biodiversity is outside protection by the Uusimaa 2050 plan draft.CONCLUSIONS: While SCP is relatively well-known by ecologists and nature conservationists, its concepts, framework, and tools are usually not familiar to general land use planners. Integration of SCP can yield to better decisions, but new practices require sufficient resourcing and tight collaboration between the parties.
Prediction Models of Tumor Growth Trajectories Based on Pretreatment CT Images of TKI-Treated Lung Cancer Patients
Authors: Truong Huy Gia , Arimura Hidetaka , Tanaka Kentaro , Ninomiya Kenta , Le Quoc Cuong 
Published: February 2021

Abstract
We have developed prediction models of tumor growth trajectories (TGTs) based on pretreatment computed tomography (CT) images, prior to targeted therapy with four specific tyrosine kinase inhibitors (TKIs)—erlotinib, gefitinib, afatinib, and osimertinib—for epidermal growth factor receptor (EGFR)-mutated non–small-cell lung carcinoma (NSCLC) patients. TGTs of the time-variant number of tumor cells were predicted for individual patients with tumor growth equations under the assumption that each tumor could contain three cell types: TKI drug-sensitive, drug-persister, and drug-resistant populations. Seven parameters of the TGT models were estimated by support vector regression, which learned the relationships between principal component features and the referenced parameters that were optimized by a Levenberg–Marquardt method. The Spearman correlation coefficient was employed to evaluate the correlation in the number of tumor cells at each CT acquisition timepoint between the reference numbers (derived from CT images) and predicted numbers. The average Spearman correlation was 0.822 (p=0.073) for a training dataset (27 treatments) and 0.818 (p=0.042) for a test dataset (10 treatments). The proposed models could predict TGTs for TKI non-treated patients, thereby estimating how lung tumors will respond to specific TKI drugs to optimize the selection of treatment strategies.
Research on Carbon Emission Efficiency in the Chinese Construction Industry based on a Three-stage DEA-Tobit Model
Authors: Zhang Mengna , Li Lianshui , Cheng Zhonghua 
Published: February 2021

Abstract
The traditional data envelopment analysis (DEA) model usually ignores the influence of external environmental factors and random interference. This can easily lead to deviations in efficiency estimates. In order to solve this problem, a three-stage DEA model was used to better reflect the carbon emission efficiency of Chinese construction industry (CEECI) (2006–2017) from the perspective of non-management factors. The internal influencing factors of CEECI are analyzed by the Tobit model, which provides a more accurate basis for formulating policies. It is found that the CEECI is significantly affected by the GDP, the level of industrialization, the degree of opening-up, technological innovation and energy structure. After excluding environmental factors and random interference, the average CEECI increased by 16%. The resulting calculations were noteworthy in three aspects. First, there are significant regional differences in the CEECI. Both the multi-polarization phenomenon of CEECI and regional differences also reduced gradually over time. Second, the CEECI can be decomposed into pure carbon emission efficiency (PCEE) and scale efficiency (SE), which is mainly caused by SE. Excluding external environmental factors and random interference will have a specific impact on the CEECI. All the 30 provinces are divided into four categories to analyze the reasons and solutions of the differences in the CEECI in provinces. Third, many factors had inhibitory effects on the CEECI, PCEE and SE; these included energy structure optimization, labor force number, total power of construct ion equipment and construction intensity in the construction industry. Nevertheless, the development level of the construction industry did have a significant positive effect.
A case of death within 72 hours after community-acquired bloodstream infection caused by klebsiella variicola
Authors: Long Dali , Wang Yuhui , Wang Jinlong , Mu Sijie , Chen Li , Shi Xianqing , Li Jianquan 
Published: February 2021

Abstract
Klebsiella subspecies infection is widely misdiagnosed and underestimated in clinic. We report a patient who was admitted to hospital due to unknown high fever. Bacterial culture only revealed the klebsiella pneumonia. Broad-spectrum antibiotics failed to improve patient's symptoms, although these antibiotics are sensitive to klebsiella pneumonia according to the drug susceptibility results. Patient rapidly entered sepsis and subsequent sepsis shock, and died within 72 hours. The delayed PMseq-DNA Pro high throughput gene detection revealed the mixed infection of klebsiella pneumoniae and klebsiella variicola. This is a very rare case that patient suffered so rapid deterioration and died from bacterial infection within short period of time. Klebsiella variicola could contribute to rapid illness progression, while it was revealed by gene detection rather than classic laboratory methods. Which suggests that early genetic detection should be recommended in cases of complex infection.
An Effective Inhibitory Strategy of Low Steady Magnetic Field on Ovarian Cancer
Authors: Li Xiaodi , Fang Yanwen , Fang Zhicai , Wang Ping , Zhu Jun 
Published: February 2021

Abstract
To estimate the effect of a steady-state magnetic field (SMF) with low magnetic intensity gradient on the apoptosis-promoting factors related to cancer cells, we systematically select SMF with 0.2T, 0.4T and 0.6T to study their effect on different ovarian cancer lines. An in vitro cell model system about two kinds of ovarian cancer lines is established, whose viability and intracellular factors are detected by CCK-8, confocal microscopy and flow cytometry method. The results demonstrate that the apoptosis rate of ovarian cancer cells is increased with the enhancement of SMF magnetic intensity. Furthermore, we detect an increasing ROS and intracellular Ca2+ levels in ovarian cancer cells, which can be caused by SMF. The results suggest that ROS and Ca2+ levels are the main reason for the significant apoptosis of ovarian cancer cell lines in SMF. Moreover, an in vivo experiment also reveals that SMF has a strong inhibitory effect on ovarian cancer. Therefore, the inhibitory strategy is an effective, which has a great potential in the treatment of drug-resistant ovarian cancer.
Fluoroscopy guided stent placement for the treatment of malignant afferent loop obstruction
Authors: Wang Chaoyang , Duan Xiaoyi , Wei Lequn , Wang Tong , Niu Huanzhang 
Published: February 2021

Abstract
BACKGROUND & AIM:

To evaluate the efficacy and safety of fluoroscopy guided stent placement for the treatment of malignant afferent loop obstruction (ALO).
METHODS

12 patients with malignant ALO in whom fluoroscopy guided stent placement had been performed were analyzed retrospectively. The operation time, clinical efficacy, complications and postoperative hospitalization were observed. Follow-up was scheduled at 1 and 3 months after the operation, and every 3 months thereafter, or when the patients developed clinical symptoms related to ALO.
RESULTS

Stent placement was performed successfully in 11 patients with an average time of 37.9 ± 12.2 min. For the other one patient, we adopted transnasal drainage tube implantation in afferent loop instead of stent placement. All the patients had an obvious relief of clinical symptoms, and no serious complications occurred. During the follow-up, 1 patient had restenosis 12 months later as the tumor grew across the stent mesh. 7 patients died of tumor progression at 3, 4.5, 5, 7, 8, 11 and 15 months after the operation.
CONCLUSION

Fluoroscopy guided stent placement is an effective and safe method for the treatment of malignant ALO.
Admission White Blood Cell Count Predicts Short- and Long-Term Mortality in Patients With Acute Aortic Dissection: Data From the MIMIC-III Database
Authors: Zhang Chiyuan , Fu Zuli , Chen Xuliang , Bai Hui , Ling Guoqiang , Shi Ruizheng , Xu Qian 
Published: February 2021

Abstract
BackgroundInflammation underlies both the pathogenesis and prognosis in patients with acute aortic dissection (AAD). This study aimed to assess the association of ICU admission of white blood cell count (WBCc) with short- and long-term mortality in these patients.MethodsClinical data were extracted from the MIMIC-III V1.4 database. After adjusted to covariables, Cox regression analysis and Kapan-Meier curve were performed to determine the relationship between WBCc on admission and short- and long-term mortality in AAD patients. Subgroup analysis and receiver operating characteristic (ROC) curve analysis were conducted to evaluate the performance of admission WBCc in predicting short- and long-term mortality in patients with AAD.ResultsA total of 325 eligible patients were divided into 2 groups: normal-WBCc group(≤ 11 k/uL) and high-WBCc group(>11 K/uL). In univariate Cox regression analysis, high WBCc was significant risk predictor of 30-days, 90-days, 1-year and 5-years mortality [hazard ratio(HR), 95%CI, P: 2.58 1.36–4.91 0.004; 3.16 1.76–5.70 0.000; 2.74 1.57–4.79 0.000; 2.10 1.23–3.54 0.006]. After adjusting for age and other risks, high WBCc remained a significant predictor of 30-days, 90-days and 1-year mortality in AAD patients (HR, 95% CI, P: 2.55 1.23–5.27 0.012; 2.88 1.44–5.76 0.003; 2.33 1.21–4.47 0.011). The area under ROC curve of WBCc for predicting 30-days, 90-days, 1-year and 5-year mortality were 0.69, 0.70, 0.66 and 0.61, respectively. The results from subgroups analysis showed that there was no interaction in most strata and patients who were younger than 69 years of age or had history of respiratory disease with an elevated WBCc had an excess risk of 30-days mortality (HR, 95% CI:, P: 3.18 1.41–7.14 0.005; 3.84 1.05–14.13 0.043).ConclusionA marked elevated WBCc on admission can predict short- and long-term mortality in patients with AAD.
Sodium-Containing Versus Sodium-Trace Preparations of IVIG for Children With Kawasaki Disease in The Acute Phase
Authors: Suzuki Takanori , Michihata Nobuaki , Aso Shotaro , Yoshikawa Tetsushi , Saito Kazuyoshi , Matsui Hiroki , Fushimi Kiyohide , Yasunaga Hideo 
Published: February 2021

Abstract
Objectives: Kawasaki disease (KD) is an acute systemic vasculitis that most commonly causes acquired cardiac disease in children in developed countries. The most highly recommended treatment for KD is 2 g/kg intravenous immunoglobulin (IVIG). There are two types of IVIG, sodium-containing (high Na) and sodium-trace (low Na) preparations. However, few studies have compared the effects of these two preparations for superiority. The purpose of this study was to compare outcomes between high and low Na IVIG preparations in KD children using a national inpatient database in Japan.Methods: We used the Diagnostic Procedure Combination database to identify KD patients treated with IVIG between 2010 and 2017. We identified those receiving high and low Na preparations of IVIG as an initial treatment. Outcomes included proportion of coronary artery abnormalities (CAA), IVIG resistance, adverse effects, length of stay, and medical cost. Propensity score-matched analyses were conducted to compare the outcomes between the two groups. Instrumental variable analyses were performed to confirm the results.Results: We identified 42345 patients with KD. There were significant differences in proportions of CAA (2.8% vs. 3.2%; p=0.031) and IVIG resistance (17% vs. 18%; p=0.001) between the two groups. However, there were no significant differences in length of stay or medical cost. The instrumental variable analysis confirmed the same results as the propensity score analysis.Conclusions: The present study suggests that high Na IVIG is potentially effective for reducing the proportion of CAA in KD patients. Prospective studies are warranted to confirm the effectiveness observed in this study.
Effect of Concentration of Nd3+ on the Photoluminescence and Ferroelectric Properties of Bi4-xNdxTi3O12 Films
Authors: Xu Yudong , Hu Kunzhuang , Shi Min , Zuo Ruzhong , Qiu Guannan , Si Zhuolin , Men Enyang 
Published: February 2021

Abstract
Lead-free films of Bi4-xNdxTi3O12 were deposited on Pt(111)/Ti/SiO2/Si(100) substrate via spin-coating methods. It is shown that there are no secondary phases in Bi4-xNdxTi3O12 films and clear interfaces between the Bi4-xNdxTi3O12 films and substrates when the films are annealed at 700 ℃. And the Bi4-xNdxTi3O12 films also exhibit a blue light emission peak at 437 nm and a yellow light emission peak at 580 nm. There are narrower band gaps, higher dielectric constant and lower dielectric loss when Nd3+ concentration varies from 0 to 0.85. And the Bi3.15Nd0.85Ti3O12 film possesses the minimum of band gap energy (2.67 eV). Moreover, Bi3.55Nd0.45Ti3O12 film exhibits a minimal leakage current density and a maximal remanent polarization, which is highly beneficial for the potential applications in multi-functional devices.
WITHDRAWN: Lichens as Biomonitors of Air Pollutants Deposition: Strategically Important Element Pollution&nbsp;
Authors: Topal E.Işıl Arslan , Topal Murat , Öbek Erdal , Türkoğlu Semra , Aslan Ali 
Published: February 2021

Abstract
In this study, different lichen species (Lobaria pulmonaria, Cladonia furcata, Usnea longissima, Xanthoparmelia somloensis, and Flavopormelia caperata) as biomonitors of air pollutants deposition were investigated and element pollution (Ta, Bi, Hf, Nb, Ga, Sc, Li, Y, Ce, and Sr) was evaluated. According to obtained data, the highest accumulation was 43.9±2.1 mg/kg in Xanthoparmelia somloensis. Sr value detected in each lichen was quite high. Sr percentages for Lobaria pulmonaria, Cladonia furcata, Usnea longissima, Xanthoparmelia somloensis, and Flavopormelia caperata were 77%, 66%, 87%, 58%, and 78%, respectively. This indicates that the lichens accumulate Sr well. Also, other strategically important elements were also accumulative by lichens. The highest contamination factor (CF) values in lichen species were determined for Sr and Ta. The highest CF values of Hf, Nb, Li, Ga, and Bi were calculated for L. pulmonaria while the highest CF values of Sr, Y, Sc, and Ce were calculated for Xanthoparmelia somloensis. Moreover, the highest CF value of Ta was calculated for Flavopormelia caperata. EF values for Lobaria pulmonaria, Cladonia furcata, and Flavopormelia caperata were >10, only for Bi. EF values for Usnea longissima were <10. EF values for Xanthoparmelia somloensis were >10. PLI values for Lobaria pulmonaria and Usnea longissima were >1. As a result, the presence of strategically important elements detected in lichen species showed that lichens can be used as biomonitors of air pollutants.
TREK-1 Mediates The Alleviative Effects of GABAB Receptor Antagonism on Depression-Like Behavior in Chronic Unpredictable Stress Rats
Authors: Li Jinying , Li Huairui , Yu Weizhi , Zhai Xiuli , Xu Hong , Xue Ying , Sun Ye , Zhang Xiaonan , Gao Ye , Gui Lin , Yu Deqin , Yin Shengming , Tang Yiyuan , xiao zhaoyang 
Published: February 2021

Abstract
GABAB receptor (GABAB R) antagonists are known to have antidepressant effects. TWIK-related potassium channel-1 (TREK-1) plays a role in GABAB R signaling. However, the role of TREK-1 in the antidepressant actions of GABAB R antagonist is still unclear. This study aimed to investigate whether TREK-1 mediates the antidepressant actions of GABAB R antagonist. To investigate this hypothesis, chronic unpredictable stress rats were treated with a GABAB R antagonist, GABAB R agonist, or TREK-1 blocker. Depression-like behavior was assessed by open field tests and sucrose preference tests. GABAB R and TREK-1 protein levels were measured by western blotting. The results demonstrated that the GABAB R antagonist alleviated depression-like behavior and reversed the decrease in hippocampal TREK-1 protein expression that characterizes chronic unpredictable stress rats. Conversely, the GABAB R agonist exacerbated depression-like behavior and further decreased hippocampal TREK-1 protein expression. In addition, the TREK-1 blocker alleviated the depression-like behavior of chronic unpredictable stress rats and increased hippocampal TREK-1 protein expression. These results suggest that the alleviative effects of the GABAB receptor antagonist on depression-like behavior in chronic unpredictable stress rats are at least partially mediated through TREK-1. These novel findings will be helpful for the clinical therapy of depression.
Machine Learning Models of Hemorrhage/Ischemia in Moyamoya Disease and Analysis of Its Risk Factors
Authors: Chen Zhongjun , Luo Haowen , Xu Lijun 
Published: February 2021

Abstract
Object: Identify the risk factors for hemorrhage/ischemia in patients with moyamoya disease and establish models using Logistic regression (LR), XGboost and Multilayer Perceptron (MLP), evaluating and comparison the effects of those models; providing theoretical basis for moyamoya disease patients to prevent stroke recurrence. Methods: This retrospective study used data from the database of Jiang Xi Province Medical Big Data Engineering & Technology Research Center; the data of patients with moyamoya disease admitted to the second affiliated hospital of Nanchang university from January 1, 2012 to December 31, 2019 were collected. A total of 994 patients with moyamoya disease were screened, including 496 patients with cerebral infarction and 498 patients with cerebral hemorrhage. LR, XGboost and MLP were used to establish models for hemorrhage /ischemia in moyamoya disease, the effects of different models were verified and compared. Result: LR, XGboost and MLP models all had good discrimination (AUC>0.75), and their AUC value are 0.9227（95%CI:0.9215-0.9239）、0.9677(95%CI:0.9657-0.9696)、 0.9672（95%CI：0.9643-0.9701）. Compared with LR model, the prediction ability of XGboost and MLP model in training and test set is improved, which is increased by 18.11% and 14.34% respectively in training set, and there is a significant difference. Conclusion: Compared with the traditional LR model, the machine learning models are more effective in predicting hemorrhage/ischemia in moyamoya disease.
Drivers on The Halophytes' Rhizosphere Bacteria Community and Functions in North China Salinized Areas
Authors: Yin Fating , Zhang Fenghua , Cheng Zhibo , Wang Haoran 
Published: February 2021

Abstract
Soil salinity is a serious environmental issue in arid China. Soil bacteria play a fundamental role in soil systems and respond rapidly to environmental changes. However, the responses of soil bacterial community to the different halophytes remains poorly understood. We investigated rhizosphere soil bacterial community changes under different halophytes in north China using high-throughput sequencing. Three typical halophytes were Leymus chinensis (LC), Puccinellia tenuiflora (PT), Suaeda glauca (SG). The dominant phyla were Proteobacteria, Actinobacteria, and Chloroflexi across three halophytic vegetation. These bacteria have important assistance for halophytes adapt to saline soil. PICRUSt forecasts demonstrated that energy metabolism, amino acid metabolism and carbohydrate metabolism are main bacterial functions in halophyte vegetation soil, and the abundance of metabolism these bacterial functions in SG was significantly higher than that in LC and PT. The pH value of different halophyte rhizosphere soils has a more significant effect on bacterial diversity than EC and soil trophic status, and soil water content (SWC) was important effect factors leading to differences in bacterial functions. These results give us a deeper understanding of the diversity and functional differences of rhizosphere soil bacterial communities in the typical halophytic vegetation of northern China.
NT157 Inhibits Hepatocellular Carcinoma Growth and Sensitizes Cells to Sorafenib
Authors: Wang Yu , Yu Si-Zhe , Zhang Shi-Rong , Hou Jia , Jiao Min , Tian Tao , Ruan Zhi-Ping , Liang Xuan , Li Wen-Yuan , Nan Ke-Jun , Lv Yi , Liu Chang , Claret Francois Xavier , Guo Hui 
Published: February 2021

Abstract
Background: Sorafenib has been recognized as the standard therapy for advanced hepatocellular carcinoma (HCC). Besides, efficacy of sorafenib was unsatisfactory and vast patients are resistant to sorafenib. Thus, molecular mechanisms underlying regulation of sorafenib resistance and seeking potential strategy to improve its efficacy have attracted much attention. As a small-molecule inhibitor of IGF-1R, NT157 has potent antitumor activity against some human cancers. However, whether NT157 has potential anti-tumor effects and its molecular mechanisms in HCC remain poorly understood. Methods: We assessed the effects and explored the mechanism of NT157 and sorafenib as single agents or in combination with sorafenib in HCC cells and mouse model. Further, we further demonstrated that NT157 reversed resistance to sorafenib in HCC.Results: Here, we found NT157 inhibited HCC growth and induced apoptosis in vitro and in vivo. In terms of mechanism, NT157 phosphorylated IRS-1 through ERK-MAPK signaling to be degraded by the ubiquitin-proteasome pathway, lowered p-AKT to deactivate IGF-1R signaling to inhibit proliferation and induce apoptosis. Surprisingly, we further demonstrated that NT157 acted synergistically with sorafenib to inhibit proliferation and contributed to sensitize HCC cells to sorafenib by down-regulation of p-AKT. Conclusions: Overall, our findings provide a translational rationale for inhibition of IGF-1R and downstream signaling pathways by NT157 as a novel targeted therapy alone or combined with sorafenib in HCC.