bluuebunny/crossref_metadata_2025_split huggingface dataset:
Valuation Methods in Ecosystem Services: A Meta-analysis
Authors: Legesse Fekadu , Degefa Sileshi , Soromessa Teshome 
Published: August 2022

Abstract

Ecosystem services are the benefits people obtain from ecosystems, including provisioning, regulating, supporting, and cultural services. The Meta-analysis of this seminar was reviewed to identify, describe, and choose an appropriate ecosystem valuation method. Four major and nine sub-ecosystem services valuation methods were reviewed from scientific literature sources. Direct market-valuation methods are used to estimate ecosystem services via the use of direct market prices and production functions, indirect market valuation methods are used to estimate when direct markets for many ecosystem goods and services do not exist, direct market prices are missing, and stated preference valuation methods are used when no market prices are available, indirect market valuation methods are not possible, and the change in ecosystem services is hypothetical. The indirect market valuation methods can be used to estimate economic values for all types of ecosystem services. Ecosystem service modeling is used in integrating all the spatial and temporal dynamics of ecosystem services. The strength and limitations of each ecosystem services valuations method are summarized to know and choose appropriate valuation methods. The analysis shows different valuation methods exist and have been applied to estimate the values of different ecosystem services, but their appropriateness under specific conditions or limitations is not uniform. Thus, further study on the pros and cons of valuation methods will be needed to choose appropriate ecosystem valuation methods.
Impulse-controllability of system classes of switched differential algebraic equations
Authors: Wijnbergen Paul , Trenn Stephan 
Published: August 2022

Abstract
In this paper impulse controllability of system classes containing switched DAEs is studied. We introduce several notions of impulse-controllability of system classes and provide a characterization of strong impulse-controllability of system classes generated by arbitrary switching signals. In the case of a system class generated by switching signals with a fixed mode sequence it is shown that either all or almost all systems are impulse-controllable, or that all or almost all systems are impulse-uncontrollable. Sufficient conditions for all systems to be impulse-controllable or impulse-uncontrollable are presented. Furthermore, it is observed that although all systems are impulse-controllable, the input achieving impulse-free solutions might still depend on the switching times in the future, which causes some causality issues. Therefore, the concept of (quasi-) causal impulse-controllability is introduced and system classes which are (quasi-) causal are characterized. Finally necessary and sufficient conditions for a system class to be causal given some dwell-time are stated.
Association Between Weight Loss and Mortality in Idiopathic Pulmonary Fibrosis
Authors: Kalininskiy Aleksandr , Rackow Ashley Rose , Nagel David J , Croft Daniel , McGrane-Minton Heather , Kottmann R.Matthew 
Published: August 2022

Abstract
Rationale: Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive interstitial lung disease that has no cure. Many current research efforts center on diagnostic and therapeutic modalities for IPF while other risk factors affecting disease pathogenesis receive less attention. Emerging data support the clinical importance of weight loss in patients with IPF. However, factors associated with weight loss and the impact of weight loss on mortality remain incompletely explored. Objectives: Explore the association between weight loss and transplant-free survival in patients with IPF and identify clinical variables associated with weight loss in this population. Methods: Kaplan-Meier and Cox proportional hazard regression analyses were generated and stratified by weight loss or use of antifibrotic medications. Conditional logistic regression was used to evaluate for factors associated with weight loss. Results: There was a significant increase in mortality in patients who lost ≥ 5% of their body weight loss (HR 2.21, [1.29, 4.43] p=.021). The use of supplemental oxygen (adjusted OR 13.16), and ≥200 mL loss of FVC over one year (adjusted OR 5.44) were both associated with a ≥5% weight loss in the year following a diagnosis of IPF. The use of antifibrotic medication did not significantly change median transplant-free survival in patients who lost more than ≥5% of their body mass. Conclusions: Weight loss over the first year following a diagnosis of IPF is strongly associated with decreased transplant-free survival. More research is needed to determine the mechanisms surrounding weight loss in patients with IPF.
Pirenperone relieves the symptoms of fragile X syndrome in Fmr1 knockout mice
Authors: Kim Yujeong , Jeon Se Jin , Gonzales Edson Luck , Shin Dongpil , Remonde Chilly Gay , Ahn TaeJin , Shin Chan Young 
Published: August 2022

Abstract
Fragile X syndrome (FXS) is one of the neurodevelopmental disorders that is caused by loss of FMRP. Many challenges have not succeeded to develop the proper therapeutics. FMRP is an RNA binding protein which can bind and recognize different RNA structures and regulate the target mRNAs’ translation involved in neuronal synaptic plasticity. Perturbations of this gene expression network have been related to abnormal behavioral symptoms such as hyperactivity, and impulsivity. Considering the physiological roles of FMRP in the modulation of mRNA translation, we focused to find the differentially expressed genes signature which might be targeted to revert into normal gene expression and amelioration of behavioral symptoms. We analyzed gene expression data and used the connectivity map (CMap) to understand the changes in gene expression signature in FXS and predict the effective drug candidates for FXS. We analyzed the GSE7329 dataset that had 15 control and 8 FXS patients’ lymphoblastoid samples. Among 924 genes, 42 genes were selected as signatures for CMap analysis and 24 drugs were found to be associated with gene expression changes. Pirenperone, a 5-HT 2A antagonist, was selected and validated as a potential drug candidate for FXS because of its possible antipsychotic effect. Treatment of pirenperone in cultured primary cortical neuron increased the expression level of Fmr1 gene. Moreover, we confirmed the rescue of behavioral phenotypes of FXS using Fmr1 knockout mice with pirenperone treatment. Overall, the results suggest that pirenperone is a new drug candidate for FXS, which should be verified in the future studies.
Ethanol extract of Lentinus edodes exerted antioxidant activity in Caenorhabditis elegans by regulating insulin DAF-16 signaling pathway
Authors: Li Quan-Cen , Li Na , Cai Wen-Wen , Liu Bin , Zeng Feng 
Published: August 2022

Abstract
Lentinus edodes (L. edodes) was a fungus plant, which was widely grown and eaten as food in China. As an antioxidant, the polysaccharide of L. edodes has been widely studied in terms of antioxidant activity, however, the effect of action and underlying mechanism of L. edodes ethanol extracts (LEEE) in antioxidant aspects were largely unknown. In this study, the antioxidant activity of LEEE was investigated in vitro. In addition, the antioxidant activity of LEEE was estimated in vivo through Caenorhabditis elegans model. It was found that LEEE had excellent antioxidant activity in vitro by scavenging DPPH, ABTS and hydroxyl radicals. At the same time, the anti-heat stress abilities of C. elegans were enhanced after supplementation with different concentrations of LEEE. The activities of antioxidant enzymes such as T-SOD, GSH-PX and CAT were significantly enhanced and the levels of MDA and ROS were significantly down-regulated. However, the level of apoptosis of C. elegans could not be improved after supplementation with LEEE. In the study of LEEE antioxidant-related signaling pathways through q-PCR experiments, it was found that LEEE exerted antioxidant activity in C. elegans by up-regulating MTL-1, DAF-16 and SOD-3 mRNA expression and down-regulating DAF-2 mRNA expression. This provided a solid foundation for the active substances of Lentinus edodes in improving oxidation-related diseases.
Dual-controlled tunable polarization-independent triple-band absorber using hybrid Dirac semimetal-vanadium dioxide metamaterial
Authors: Hu BaoJing , Hong SuMei , Ding HongWei , Huang Ming 
Published: August 2022

Abstract
In this paper, a dual-controlled tunable polarization-independent triple-band absorber using hybrid bulk Dirac semimetal (BDS) and vanadium dioxide (VO2) metamaterial is proposed. The physical properties of the absorber can be theoretically analyzed by the equivalent circuit model (ECM). When the Fermi energy of BDS increases from 0.11 eV to 0.15 eV, the peak frequencies also gradually increase and blue shift occurs. In addition, When the VO2 is in fully metallic state, the absorber exhibits three distinct absorption peaks with absorptances of 99.76%, 99.61% and 99.76%, respectively, with an average absorptance of 99.71%. As the the transition of VO2 from fully metallic state to insulating state, the transmittance and reflectance increase and the absorptance gradually decreases. Moreover, due to the structure symmetry of the absorber, the absorptance exhibits polarization independent behavior. Finally, the modulations of absorptivity spectra by tailoring the structure dimension and the potential for the application of the absorber as a refractive index sensor, are further discussed. This study provides potential applications in the design of multi-band dual–controlled tunable sensors, filters and absorbers.
Singular Spectral Analysis (Ssa) of Solid Earth Tide (Set) - Implications to Identify Earthquake Precursors and Earthquakes in the Himalayan Region (M≥6) During 1991-2021
Authors: M Senthil Kumar , Natarajan Venkatanathan 
Published: August 2022

Abstract
Several researchers are trying to formulate the earthquake-forecasting model using various earthquake precursors. There are numerous precursory phenomena have been identified in recent years. As many scientists suggested, the Solid Earth Tide (SET) can be considered as a reliable precursor since probably involved in the triggering mechanism of devastating earthquakes. In this paper, the authors choose notable earthquakes that occurred in the Himalayan region during 1991–2021. Due to the non-linear behaviour of the physical mechanism involved in the occurrence of earthquakes, we use Singular Spectral Analysis (SSA) to identify the irregularities in SET. SSA is a time series evaluation approach that incorporates the components of traditional-based time-series investigations, multidimensional statistical processes, complex systems, and data processing. From Eigenvalue function analysis (EOF), a strong correlation has been found between the magnitude of the earthquake and the percentage of the 6th component EOF. The aperiodicity in EOF was also found to be in three distinct patterns named Moose back eigenfunction (M-EOF), Camelback eigenfunction(C-EOF), and Triple Camelback eigenfunction (TC-EOF). One to four months prior to the occurrence of the earthquakes, a opposite phase shift was observed in the original series compared to the noise-free reconstructed series. Also, we have done the sliding window analysis, there is a notable coupling between SET and earthquake occurrence, when the tidal stress exceeds the critical level, the fault gets stimuli to slip. Thus, the authors concluded a strong possible reason for the irregularities in SET that can act as a triggering factor for earthquakes and other earthquake precursors.
Research on SpMV Implementation and vector x Hit Rate Optimization for SW26010p Many-Core Platform
Authors: Ma Mengfei , Wei Zhiqiang , Jing Xiaoli , Jia Dongning , Xu Jiali , Wang Yucheng , Zhang Chengfeng , Han Hengmin 
Published: August 2022

Abstract
In recent years, With the development of computer hardware, the supercomputer industry has ushered in a stage of rapid development, and its architecture has also evolved from traditional multi-core to many-core and heterogeneous many-core. Among them, sunway Many-Core Platform series with completely independent intellectual property rights is the representative of China’s supercomputing heterogeneous many-core processors. As a computing kernel, SpMV (sparse matrix-vector multiplication) is of great significance in scientific and engineering computing whose computing performance often has a great impact on the overall performance of applications. The article analyzes the master-slave acceleration architecture of the SW26010p Many-Core Platform processor and the implementation of the sparse matrix in the CSR storage format on the SW26010p Many-Core Platform. Due to the limited memory of the slave core of the SW26010p, the vector data stored in large-scale SpMV cannot be satisfied, resulting in a long memory access time and reduced performance. To solve this problem and optimize the calculation performance of SpMV, this paper has launched a research on the optimization strategy of SpMV for SW26010p Many-Core Platform. Firstly, we propose a method of assigning tasks by the number of rows in which the non-zero elements are located to solve the load balancing problem among slave cores. Secondly, we propose an adaptive memory allocation algorithm for LDM to achieve the optimal use of LDM memory. Thirdly, according to the refined division of the LDM space, various algorithms such as the dynamic and static double cache algorithm based on the secondary core architecture LRU and LUR-k, and the dynamic and static cache elimination algorithm based on the secondary core architecture ARC are proposed to improve the hit rate of vector x respectively. the performance of SpMV is optimized by reducing communication time and improving calculation and memory access ratio. Finally, several representative sparse matrices are selected from matrix set (Market) and tested, and the performance of several algorithms is analyzed. The results show that compared with the traditional method, the overall x hit ratio of our scheme is greatly improved, and the master-slave acceleration ratio is also greatly improved, the maximum acceleration ratio can reach more than 20 times and the average speed-up ratio can reach 10.5 times, which has a very good optimization effect. Meanwhile, the optimization methods adopted in this paper can be used for reference for other complex applications of SW26010p.
Prenatal alcohol consumption and risk of anemia among pregnant women attending antenatal care at public health facilities in Gondar town, Northwest Ethiopia: a retrospective cohort study
Authors: Addila Alemu Earsido , Azale Telake , Gete Yigzaw Kebede , Yitayal Mezgebu 
Published: August 2022

Abstract
Background: Alcohol consumption during pregnancy can lead to multiple health, social and, behavioral problems for both the mother and the offspring. Anemia is one of the major public health concerns and causes of morbidity and mortality among pregnant women with poor maternal and fetal outcomes in developing countries. This study aimed to identify the link between prenatal alcohol consumption and anemia among pregnant women attending antenatal care at public health facilities in Gondar town, Northwest Ethiopia.Methods: A facility-based retrospective cohort study was conducted among pregnant women who were booked for antenatal care in selected public health facilities from 29 October 2019 to 7 May 2020 in Gondar town. We used a two-stage random sampling technique to recruit and include study participants in the cohort. Data were collected using a standardized interviewer-administered questionnaire. Multivariable analysis was performed to examine the association between reported prenatal alcohol exposure (non-hazardous and hazardous) and anemia in pregnancy using log-binomial regression modeling. The burden of anemia in pregnancy was reported using the adjusted risk ratio and population-attributable risk (PAR).Results: A total of 1669(1113 unexposed and 556 exposed) pregnant women were included in the analysis. The prevalence of anemia during pregnancy was 14.86% (95% CI: 13.23, 16.65). Hazardous alcohol consumption during pregnancy was significantly associated with anemia in pregnancy (adjusted RR= 2.24; 95% CI: 1.60, 3.15), whereas there was no enough evidence for a statistical association between anemia and non-hazardous alcohol consumption during pregnancy (adjusted RR= 1.03; 95% CI: 0.79, 1.36). The adjusted PAR of anemia in pregnancy related to hazardous alcohol consumption during pregnancy was 7.68%.Conclusions: This study revealed that anemia during pregnancy continues to be a public health concern in Northwest Ethiopia. Regardless of timing, the clear association between prenatal hazardous alcohol consumption and increased risk of anemia during pregnancy suggests a need for targeted prenatal alcohol use and anemia screening, and ongoing intervention for alcoholic and anemic pregnant women.
LSTM based on Adaptive Convolutional Network for Time Series Classification
Authors: Li Yujuan , Wu Yonghong 
Published: August 2022

Abstract
Deep learning technology is the most effective method to solve time series classification tasks. The existing algorithms based on deep learning usually obtain features with fixed step convolution, so they cannot effectively extract and focus on important multi-scale features. Based on the complexity and long-term dependence of time series data, an end-to-end model called as Adaptive Convolutional Network Long-Short-Term Memory (ACN-LSTM) is proposed in this paper. This network is composed of two branches: long-short-term memory and adaptive convolution neural network. The LSTM uses memory cells and gate mechanism to control the transmission of sequence information and fully extract the correlation information of time series to enhance the discriminative power of the network. The ACN obtains the local characteristics of time series by stacking one-dimensional convolutional neural block. Then the multi-scale convolutional neural block is used to capture different scales of information, which is consist of concatenated convolutional layers with different kernel size. Meanwhile, in order to adaptively adjust the feature information between layers, an inter-layer adaptive channel feature adjustment mechanism is proposed. The ACN-LSTM not only fully extracts long-term time correlation information, but also fuses adaptively and pays attention to important multi-scale features to achieve more accurate classification results. The experiment results with 65 UCR standard datasets illustrate that the proposed ACN-LSTM achieves highest arithmetic mean rank and geometric mean rank, compared with other methods, which are 2.815 and 2.322, respectively, and also achieves the lowest mean error with 0.127, which indicates that ACN-LSTM is effective in univariate time series classification.
Association between multiple vitamins and bone mineral density: A population- based study in the NHANES from 2005 to 2006
Authors: Zhang Ruyi , Huang Qin , Su Guanhua , Wei Muhong , Cui Yuan , Zhou Haolong , Song Wenjing , Di Dongsheng , Liu Junan , Wang Qi 
Published: August 2022

Abstract
Background
Bone mineral density (BMD) alterations in response to multivitamin exposure were scarcely studied. Our study assessed the association of coexposure to six types of vitamins (i.e., vitamins B12, B9, C, D, A, and E) and BMD measurements among US adults.
Methods
Data were collected from the participants aged ≥ 20 years (n = 2757) in the U.S. National Health and Nutrition Examination Surveys (NHANES) from 2005 to 2006. Multiple linear regression, restricted cubic splines, principal component analysis (PCA) and weighted quantile sum (WQS) regression were performed for statistical analysis.
Results
Circulating levels of vitamins B12 and C were positively associated with BMDs, and an inverted L-shaped exposure relationship was observed between serum vitamin C and BMDs. The PCA identified two principal components, one for “water-soluble vitamins,” including vitamins B12, B9, and C, and the other one for “fat-soluble vitamins,” including vitamins A, D, and E. The former was positively associated with total femur (β = 0.009, 95%CI: 0.004, 0.015) and femoral neck (β = 0.007, 95%CI: 0.002, 0.013) BMDs, and the latter was negatively associated with BMDs with non-statistical significance. The WQS index constructed for the six vitamins was significantly related to total femur (β = 0.010, 95%CI: 0.001, 0.018) and femoral neck (β = 0.008, 95%CI: 0.001, 0.015) BMDs, and vitamins B12 and C weighted the most. The WQS index was inversely related to BMDs with non-statistical significance, and vitamins E and A weighted the most.
Conclusion
Our findings suggested a positive association between water-soluble vitamin coexposure and BMD, mainly driven by vitamins B12 and C, and a suggestive negative association between fat-soluble vitamin coexposure and BMD, mainly driven by vitamins E and A. And there was an inverted L-shaped exposure relationship between vitamin C and BMD.
A propensity score matching study of totally robotic Right Hemicolectomy versus robot-assisted Right Hemicolectomy
Authors: Jin Qianqian , Long Dongju , Liu Chao , Jiang Yuhong , Zhou Weihan , Yao Hongliang , Liu Kuijie 
Published: August 2022

Abstract
Objective
To compare and analyze the differences in safety, feasibility and short-term efficacy between robot-assisted and totally robotic surgery in Right Hemicolectomy.
Methods
A retrospective analysis was conducted on the clinical data of 184 patients who underwent right hemicolectomy in The Second Xiangya Hospital of Central South University from July 2016 to December 2021. 148 patients were matched (including 74 cases of robot-assisted right hemicolectomy (TRAH) and 74 cases of totally robotic right hemicolectomy (TRRH)). The general information, surgical and pathological results and complications of patients were collected and analyzed.
Results
The incision length was 5.14 ± 0.60cm in the robot-assisted group 4.74 ± 0.55cm in the totally robotic group (p < 0.001). The blood loss was 86.28 ± 52.57 ml in the robot-assisted group and 69.19 ± 44.78 ml in the totally robotic group (p = 0.035).The operative time of the robot-assisted group was 197.50 (171.25, 242.25) min, and that of the totally robotic group was 160.00 (145.00, 188.75) min (p < 0.001).The postoperative hospital stay was 11.18 ± 4.32 days in the robot-assisted group and 9.53 ± 4.42 days in the totally robotic group (p = 0.023). NRS pain scores were 3.05 ± 0.23 for the robot-assisted group and 2.96 ± 0.26 for the totally robotic group (p = 0.019). The extraction time of abdominal drainage was 7.54 ± 1.44 days in the robot-assisted group and 7.00 ± 1.25 days in the totally robotic group (p = 0.016). postoperative complications in the robot-assisted group were as follows: Urinary retention 1 (1.4%), chylous fistula 1 (1.4%), wound complications 3 (4.1%), postoperative intestinal obstruction 1 (1.4%), postoperative anastomosis 3 (4.1%), other complications 4 (5.4%);postoperative complications in the totally robotic group included 0 cases of urinary retention, 7 cases of chylous fistula (9.3%), 1 case of wound complication (1.3%), 0 cases of postoperative intestinal obstruction, 2 cases of postoperative anastomotic complications (2.7%), and 0 cases of other complications.
Conclusions
Complete robotic right hemicolectomy in the hands of an experienced colorectal surgeon is safe and feasible. Compared with robot-assisted right hemicolectomy, the totally robotic right hemicolectomy group has certain advantages in incision length, operative time, intraoperative blood loss, postoperative hospital stay, first exhaust time, first liquid diet time, Time of drainage tube removal, NRS pain score and postoperative complications.