bluuebunny/crossref_metadata_2025_split huggingface dataset:
Landslide Vulnerability Assessment in Devikulam Taluk, Idukki District, Kerala Using Gis and Machine Learning Algorithms
Authors: Gururajan Bhargavi , Jawaharlal Arun nehru 
Published: June 2021

Abstract
Landslide is a chronic problem that causes severe geographical hazard due to development activities and exploitation of the hilly region and it occurs due to heavy and prolongs rain flow in the mountainous area. Initially, a total of 726 locations were identified at devikulam taluk, Idukki district (India). These landslide potential points utilised to construct a spatial database. Then, the geo spatial database is then split randomly into 70% for training the models and 30% for the model validation. This work considers Seven landslide triggering factors for landslide susceptibility mapping. The susceptibility maps were verified using various evaluation metrics. The metrics are sensitivity, specificity, accuracy, precision, Recall, Matthews correlation efficient (MCE), Area Under the Curve (AUC), Kappa statistics, Mean Absolute Error (MAE), Mean Square Error (MSE).The proposed work with 5 advanced machine learning approaches assess the landslide vulnerability.It includes Logistic Regression (LR), K Nearest Neighbor (KNN), Decision tree classifier, Linear Discriminant Analysis (LDA) and Gaussian Naïve Bayes modelling and comparing their performance for the spatial forecast of landslide possibilities in the Devikulam taluk. In experimental results, Decision tree classifier performs the most reliable performance with an overall accuracy rate of 99.21%.
Climate Change Alters The Interaction of Two Invasive Beachgrasses With Implications For Range Shifts And Coastal Dune Functions
Authors: Biel Reuben G. , Hacker Sally D. 
Published: June 2021

Abstract
Forecasting the effects of climate change on the distribution of invasive species can be difficult because invaders often thrive under novel physical conditions and biotic interactions that differ from those in their native range. In this study, we experimentally examined how rising temperatures and sand burial could alter the abundance and biotic interactions of two invasive beachgrasses, Ammophila arenaria and A. breviligulata, along the U.S. Pacific Northwest coast. We asked whether the current geographic ranges of the two congeners, and thus their effects on dune morphology and coastal ecosystem services, might shift as a consequence of climate driven changes in warming and sand supply. Our results show that A. breviligulata had lower biomass and tiller production when exposed to warming and high rates of sand burial, while A. arenaria showed neutral or positive responses to those treatments. Nevertheless, under all experimental combinations, A. breviligulata had strong negative effects on A. arenaria, while A. arenaria had weaker effects on A. breviligulata. Our models predict that although A. breviligulata mostly excludes A. arenaria, elevated temperatures and high rates of sand burial also increase the likelihood of species coexistence. We suggest that under climate change, the differences in physiological tolerance and the mediation of species interactions could expand the northern distributional limit of A. arenaria but restrict the southern limit of A. breviligulata. Moreover, because beachgrass abundance has direct effects on biophysical functions of dunes, reductions in vigor from warming could alter coastal protection, biodiversity, and carbon sequestration.
Prognostic Factors in Patients with Conventional Chondrosarcoma: A SEER Database Analysis
Authors: Fu Peng , Gao zhenzhen , Sun Ting , Bao Yi , Chen Gang 
Published: June 2021

Abstract
Background: Conventional chondrosarcoma, a rare type of bone tumor, is resistant to chemotherapy and radiation therapy. Thus, additional characteristics of this disease are needed to open other treatment modalities. The clinical investigation of chondrosarcoma is limited to small-series and single-institution studies. The Surveillance, Epidemiologic, and End Results (SEER) is the most complete and comprehensive database worldwide. This SEER database study aimed to collect clinicopathological features and determine the prognosis of patients with conventional chondrosarcoma. Methods: Clinicopathologic and survival data of 782 patients from 2010 to 2016 and 353 patients from 2007 to 2009 were downloaded and analyzed. Overall survival was analyzed using the Kaplan–Meier method and verified by univariable Cox regression. Independent prognostic factors were assessed using the multi-variable Cox regression hazards model. A nomogram was established and used to calculate the one-, three-, and five-year survival rates. Competitive risk models were established to identify the prognostic risk factors related to competitive endpoint events in patients with conventional chondrosarcoma. Results: In total, 361 extremities, 360 axial bones, and 61 cranial samples were collected from the 2010–2016 cohort. The median survival time of patients with conventional chondrosarcoma was 35 months, and the independent prognostic factors were sex, grade, surgery, AJCC_M age, and tumor size. Thereafter, a nomogram was established basing from those independent prognostic factors. The competitive risk model revealed no competitive risk for the cancer-specific endpoint event. The data from 2007 to 2009 were used to validate the results from 2010 to 2016 with general consistency. Conclusion: This retrospective study determined the prognostic factors in patients with conventional chondrosarcoma by using the Cox regression hazards model. A nomogram was established to help oncologists assess this rare malignant tumor with low heterogeneity.
Catalytic Activity Of Cu/η-Al2O3 Catalysts Prepared From Aluminum Scraps In The NH3-SCO and in the NH3-SCR of NO
Authors: Jr Nawel , Makhlouf Thabet , Delahay Gerard , Tounsi Hassib 
Published: June 2021

Abstract
Copper loaded η-alumina catalysts with different copper contents have been prepared by impregnation/evaporation method. The catalysts were characterized by XRD, FTIR, BET, UV–vis, H2-TPR and evaluated in the selective catalytic reduction of NO by NH3 and in the selective catalytic oxidation of NH3. The characterization techniques showed that the impregnation/evaporation method permits to obtain highly dispersed copper oxide species on the η-alumina surface when low amount of copper is used (1wt. % and 2 wt.%). The wet impregnation method made it possible to reach a well dispersion of the copper species on the surface of the alumina for the low copper contents Cu(1)-Al2O3 and Cu(2)-Al2O3. The latter justifies the similar behavior of Cu(1)-Al2O3) and Cu(2)-Al2O3 in the selective catalytic oxidation of NH3 where these catalysts exhibit a conversion of NH3 to N2 of the order of 100% at T > 500°C.
Pairwise Control In Unmanned Aerial Vehicle Swarm Flocking
Authors: Liu Jintao , He Ming , Luo Ling , Liu Qiang , Zou Mingguang 
Published: June 2021

Abstract
Inspired by the natural phenomenon that pair-bonded jackdaws fly together within a flock, a new cooperative model and control method with pairwise structure in the swarm flocking is proposed to perform proximity missions such as air refueling, data exchange and coordinated operations of two unmanned aerial vehicles in the swarm. A noval square-law error sliding mode surface and variable structure sliding mode controller are proposed, so that any two unmanned aerial vehicles in the swarm could converge to a specified relative distance. Based on this, the distributed control protocol is designed that integrates pairwise distance control and flocking control. It enables unmanned aerial vehicles to be paired in the swarm without disrupting the consensus of the entire swarm. Finally, two theorems are proved by Lyapunov stability theorem. The distance between paired unmanned aerial vehicles is exponentially convergent, and the swarm flocking is collision free. Swarm flight simulations based on particle motion model with number from 20 to 100 are respectively presented, as well as 10 unmanned aerial vehicles swarm flight simulations with quadrotor dynamics model. The simulation experiments have sufficiently verified the effectiveness and accuracy of the method. The results show that distance control could still be achieved in the extreme case that the paired unmanned aerial vehicles are at the farthest corners of the swarm.
An Implementation Blueprint for How to Start Interprofessional Behavioral Health Integration in A Healthcare System: Balancing Patient Needs, Organizational Readiness for Change, Institutional Priorities, and Training Needs.
Authors: Riley Kristen E. , Ghassemzadeh Sara , Terhune James , Fluehr Melissa , Buschmann Maia L. , Rouzitalab Sheila 
Published: June 2021

Abstract
Background

Poor health behaviors are epidemic and lead to chronic disease. Further, there are already hundreds of behavioral health interventions that have shown efficacy for preventing chronic diseases long term. These services are not yet widely available to patients, especially those at high risk for developing chronic diseases: Health disparities exist by race, ethnicity, income, gender, sexual orientation, mental health status, and area. Additionally, mental health issues are also highly prevalent and largely untreated and can be a barrier to preventative care. In recent years, there has been in a movement towards integrating mental health professionals who do behavioral health medicine into primary care and medical clinics to increase access. While this behavioral health integration has been shown to lead to better patient outcomes and decreased costs, and while this practice is growing in popularity, still very few healthcare systems are utilizing this model. While there are implementation science studies for integrating into a single clinic, no dissemination and implementation study to our knowledge has developed a strategy for integration across a large healthcare system.
Methods

We used four surveys of opinion leaders (N = 12), clinic providers (N = 15), hospital administrators (N = 2), and D&I scientists (N = 27), to asked about barriers and facilitators to integration, as well as: patient need, organizational readiness for change, and student training needs for a sustainable model for integration.
Results

We learned about key barriers and facilitators to integration within this healthcare system. Importantly, we extrapolated or coded numeric values for each clinic for patient need, organizational readiness for change, and student training needs, creating a priority score for each clinic. When we begin integration, we will start with integrating the most-ready clinic with the most in-need patients and the most perceived student-training need, and move down there. With this process, we created a novel implementation science system for identifying and prioritizing clinics for integration, barriers and facilitators in each clinic, and draw from published work and established models in the field (ORIC, Dynamic Sustainability, RE-AIM).
Conclusions

This study provides a blueprint for other healthcare systems to create a plan for sustainable integration of psychological services into medical settings for the benefit of healthcare systems, patients, and public health.
Prenatal Diagnosis of Microduplication of Fetal Chromosome 17 Following Noninvasive Prenatal Testing
Authors: Shi Ye , Zheng Fang-xiu , Wang Jing , Zhou Qin , Chen Ying-ping , Zhang Bin 
Published: June 2021

Abstract
Background

Chromosome 17q12 duplication syndrome is a disease caused by the complete or partial duplication of q12 in the long arm of chromosome 17, there were no cases reported about the prenatal diagnosis of the syndrome. Most of the fetal phenotype of the syndrome may not be evident during the pregnancy, which means the syndrome was only be discovered accidentally or missed during the prenatal examination.
Objective

Noninvasive prenatal testing (NIPT) is widely used in the screening of common fetal chromosome aneuploidy. However, reports on chromosomal microduplication and microdeletion are rare. The aim of the study was to investigate the application value of NIPT for the detection of chromosomal microduplication.
Case presentations:

We found two cases of microduplication in the long arm of chromosome 17(17q12), they were first detected by NIPT and then were further diagnosed by copy number variation (CNV) analysis based on chromosome microarray analysis (CMA). The CMA results of prenatal diagnosis showed that the microduplications in 17q12 (one was 1.5Mb, the other was 1.9Mb) were consistent with the NIPT results. The amniotic fluid karyotype analysis showed no abnormalities. Finally, because it was pathogenic copy number variant, both of the parents chose to terminate the pregnancy.
Conclusion

In the study, two cases of microduplication fragment in the long arm of chromosome 17 were detected by NIPT and were confirmed by CMA. To our knowledge, this is the first report of prenatal diagnosis of chromosome 17q12 duplication syndrome following NIPT. This suggests that NIPT is an effective method to screen chromosome microduplications in prenatal diagnosis, especially for the chromosome 17q12 duplication syndrome.
Function Analysis of Drought Resistance Related Gene TaGAPCs and TaWRKYs in Wheat
Authors: Wang Qiuzhu , Zhang Lin , Yang Shushen 
Published: June 2021

Abstract
Backgrounds: Wheat (Triticum aestivum L.) is one of the most important food crops in the world. It faces various abiotic stresses during its growth. Drought is one of the main factors limiting the growth and development of wheat. Severe drought stress will Lead to a decline in wheat production. Cytoplasmic glyceraldehyde-3-phosphate dehydrogenase (GAPC) is an important member of the glyceraldehyde-3-phosphate dehydrogenase (GAPDH) family, which is widely present in plant cytoplasm. Plants play an important role in the process of primary metabolism and stress resistance.Result: In this study, a comparative transcriptomic analysis of the TaGAPCs-RNAi strain of Changwu 134 and the wild-type wheat seedlings of Changwu 134 under natural drought conditions was carried out. A total of 30067 differentially expressed genes were screened in RNAi strains and wild-type strains, of which 19,959 genes were up-regulated in RNAi strains and 10,108 genes were down-regulated in transcription. GO analysis shows that differential genes are mainly enriched in biological regulation, cellular processes, metabolic processes, and responses to stimuli. KEGG analysis showed that the differential genes were mainly concentrated in the biosynthesis of phenylpropane, plant hormone signal transduction and flavonoid biosynthesis pathways. By analyzing the expression levels of differential transcription factors, the significantly down-regulated transcription factor WRKY family member TaWRKY2 / 22/28/29/33/40/47/52 in wheat was screened out. The TaWRKY28/33/40/47 gene silencing line was successfully obtained using the barley stripe mosaic virus (BSMV-VIGS) technology. The plants with TaWRKY28/33/40/47 gene silenced were subjected to natural drought treatment, and physiological and biochemical index tests were carried out. The results showed that the growth status of gene-silenced plants was worse than that of wild-type plants, and the relative water content and chlorophyll content decreased. The content of MDA, H2O2 and superoxide anion increases, the activity of antioxidant enzymes (SOD, POD, CAT) decreases, and the content of proline decreases. Conclusion: The results showed that TaGAPCs regulates the expression of some TaWRKYs transcription factors, activates antioxidant pathways, enhances tolerance of wheat to drought stress.
mTORC2 is the Primary Target for Simvastatin-Associated Toxicity in C2C12 Cells and in Mouse Skeletal Muscle
Authors: Sanvee Gerda M , Hitzfeld Leonie , Bouitbir Jamal , Krahenbuhl Stephan 
Published: June 2021

Abstract
Statins decrease the serum LDL-cholesterol concentration and reduce the risk for cardiovascular diseases but can cause myopathy, which may be related to mTORC inhibition. In the current study, we investigated which mTORC is inhibited by simvastatin and by which mechanisms. In C2C12 myoblasts and myotubes and mouse gastrocnemius, simvastatin was cytotoxic and inhibited S6rp and Akt Ser473 phosphorylation, indicating inhibition of mTORC1 and mTORC2, respectively. In contrast to simvastatin, the mTORC1 inhibitor rapamycin did not inhibit mTORC2 and was not cytotoxic. Like simvastatin, knock-down of Rictor, an essential component of mTORC2, impaired Akt Ser473 and S6rp phosphorylation and was cytotoxic for C2C12 myoblasts, suggesting that mTORC2 inhibition is an important myotoxic mechanism. The investigation of the mechanism of mTORC2 inhibition showed that simvastatin impaired Ras farnesylation, which was prevented by farnesol but without restoring mTORC2 activity. In comparison, Rap1 knock-down reduced mTORC2 activity and was cytotoxic for C2C12 myoblasts. Simvastatin impaired Rap1 prenylation and function, which was prevented by geranylgeraniol. In addition, simvastatin and the complex III inhibitor antimycin A caused mitochondrial superoxide accumulation and decreased the activity of mTORC2, which could partially be prevented by the antioxidant MitoTEMPO. In conclusion, mTORC2 inhibition is an important mechanism of simvastatin-induced myotoxicity. Simvastatin inhibits mTORC2 by impairing geranylgeranylation of Rap1 and by inducing mitochondrial dysfunction.
Separation of DC Electrical Method Anomaly By Using Multifractal Modelling
Authors: Jing Cao , Linhua Sun , Cancan Wu 
Published: June 2021

Abstract
A more accurate method of DC processing data to distinguish the anomalous body is important for the prediction and detection of potential risk such as goaf and water inrush. In this paper, we have performed a DC data processing process, which relies on the theory of aggregation-area(C-A). We investigate the apparent resistant and apparent resistant isograms cumulative area as a function to search the threshold as the boundary value. Comparisons of the conventional data processing method to physical simulation that the C-A identified the higher resistance anomalous body better than the lower resistance because its sensitivity. Scoped the higher resistance area almost identical with the physical model, while the lower approach the nearest boundary. The results are in good agreement with the physical model, validating C-A multifractal theory as an effective way for DC accurate interpretation.
The Impact of Environmental Information Disclosure on the Cost of Debt: Evidence From China
Authors: Yang Yongliang , Wen Jing , Li Yi 
Published: June 2021

Abstract
With the growing attention the public has paid to environmental issues, environmental disclosure is not only a vital means for firms to convey social responsibility but also an important information source for lending institutions to assess the credit risk of firms. Based on the data of listed companies in China from 2007 - 2016, this paper applies a two-way fixed effects model to determine the impact of environmental information disclosure on the cost of debt. It reveals that environmental information disclosure could decrease companies’ cost of debt and that CEO duality and ownership concentration play vital roles in this relationship to some extent. After considering endogenous problems and testing the robustness, the conclusions still prove to be valid.
Fast Response PANI/MMT-rGO Polymer Nanocomposite Material for Sensing HCN Gas
Authors: Dipak Pukhrambam , Singh Aparna , Iqbal Asif , Samadhiya Anuradha , Dwivedi Shailendra Kumar , Tiwari Dinesh Chandra , Tiwari Rajendra Kumar , Pandey Kailash Nath 
Published: June 2021

Abstract
In the present work, we have developed a polymer based gas sensor. The polymer nanocomposites are synthesized by the chemical oxidative polymerization of aniline with ammonium persulfate and sulfuric acid. The fabricated sensor is able to achieve a sensing response of 4.56% for PANI/MMT-rGO at 2 ppm of hydrogen cyanide (HCN) gas. The sensitivity of the sensors PANI/MMT and PANI/MMT-rGO are 0.89 ppm-1 and 1.12 ppm-1 respectively. The increase in the sensitivity of the sensor may be due to an increase in the surface area provided by MMT and rGO which provided more binding sites for the HCN gas. The sensing response of the sensor increases as the concentration of the gas exposed increases but saturates after 10 ppm. The sensor recovers automatically. The sensor is stable and can work for 8 months.
Reversible Splenial Lesion Syndrome with Mental Disorders as Only Manifestation
Authors: Xu Ziyun , Zhou Zhaoguang , Jang Wentao , Tian Jianhong , Hou Gangqiang 
Published: June 2021

Abstract
Background

Reversible splenial lesion syndrome (RESLES) was reported to be associated with variable entities. However, much less is known about the cases in which the mental disorders act as the only manifestation.
Method:

Total ten patients of RESLES were obtained in this retrospective study from Shenzhen Kangning Hospital. T1-fluid attenuated inversion recovery (T1-FLAIR), T2-weighted images, T2-FLAIR, diffusion-weighted images and apparent diffusion coefficient map were performed on all the patients. Clinical manifestations, laboratory examination results, magnetic resonance imaging (MRI) findings, treatments and outcomes were analyzed.
Result

All patients showed different mental disorders as the only manifestation. There were two cases of alcohol abuse, one of Asperger’s syndrome with malnutrition, one of infection and one of invasive pituitary adenoma. The other cases were diagnosis as major depressive disorder, dissociative and conversion disorders, undifferentiated somatoform disorder, unspecified psychosis and bipolar disorder, respectively. Three patients were completely recovered while the clinical symptoms of rest seven patients partially recovered at the follow-up three months later. Oval-shaped lesion centered on the splenial of corpus callosum (SCC) was observed in all patients using MRI. The lesions of SCC of all patients were completely resolved within five weeks.
Conclusion

MRI is an essential tool to identify the RESLES. For the patients with acute mental disorders, clinicians should be alert to the possibility of RESLES. Excluding other possible etiologies, we suggest that different mental disorders might be precipitating factors of RESLES.