Miracle-dz/UniFAR-FTUs huggingface dataset:
Divergent responses of soil carbon and nitrogen pools to short-term nitrogen addition between two plantations in Northeast China

Nitrogen (N) deposition has a profound influence on forest soil carbon (C) and N pools, but there was no consensus on the responses of different C and N components in different forest types. In this study, a two-year simulated N deposition experiment with four levels of N (NH4NO3)-addition treatments (0, 50, 100, and 150 kg N/hm2·a) were conducted in Larix gmelinii (LG) and Quercus mongolica (QM) plantation in Northeast China, in order to investigate the C and N pool dynamics under continuously enhanced N deposition. Soil organic carbon (SOC), soil total N (STN) and their active components (readily oxidizable C, ROC; dissolved organic C, DOC; microbial biomass C, MBC, dissolved organic N, DON; microbial biomass N, MBN) of the forest soil were measured monthly from May to October 2017. C and N contents in LG were observed higher than in QM. N addition had no effect on SOC and STN of LG, but significantly increased SOC and STN of QM at low N addition level. Low N addition generally raised active C components (ROC, DOC, and MBC) in both plantations, whereas high N addition did not significantly affect these components, or even decreased ROC in LG soil. Low N addition also increased STN and MBN of QM, while no significant change in STN and MBN of LG was observed. DON was directly affected by N addition and increased significantly with elevated N addition levels. The results indicated that N addition, especially of low rate, might enhance the C sequestration capacity of the forest soils and mitigate climate change. Keywords: nitrogen deposition, forest soil, active carbon, active nitrogen DOI: 10.25165/j.ijabe. 20191206.5266 Citation: Li Y D, Wang B, Dou S, Shen H Y, Mei L Y, Zhang Y, et al. Divergent responses of soil carbon and nitrogen pools to short-term nitrogen addition between two plantations in Northeast China. Int J Agric & Biol Eng, 2019; 12(6): 82–90.
Machine Learning Models for Political Video Advertisement Classification

—Investment in online political ad marketing is gaining traction very rapidly. In United States, the 2016 presidential election campaign witnessed substantial increase in political advertisement expenditure in online platforms like YouTube. Therefore, political researchers are interested in analyzing trends of political ads in online medium. But currently there is no existing method or application that can classify political advertisement from a large dataset of online ads. In this paper, we attempted to solve this problem by proposing a model which can automatically classify political video advertisements using machine learning algorithms such as Support Vector Machine, Linear Regression and Naïve Bayes classifier. We will also focus on feature engineering for this classification problem. We applied text features and non-text features like color and facial features for classification purpose. We trained 3 different models with different feature set and compare results among them. We also created an ensemble with these 3 models and achieved an F1-score of 0.97.
Integrated Solutions for the Water-Energy-Land Nexus: Are Global Models Rising to the Challenge?

Increasing human demands for water, energy, food and materials, are expected to accentuate resource supply challenges over the coming decades. Experience suggests that long-term strategies for a single sector could yield both trade-offs and synergies for other sectors. Thus, long-term transition pathways for linked resource systems should be informed using nexus approaches. Global integrated assessment models can represent the synergies and trade-offs inherent in the exploitation of water, energy and land (WEL) resources, including the impacts of international trade and climate policies. In this study, we review the current state-of-the-science in global integrated assessment modeling with an emphasis on how models have incorporated integrated WEL solutions. A large-scale assessment of the relevant literature was performed using online databases and structured keyword search queries. The results point to the following main opportunities for future research and model development: (1) improving the temporal and spatial resolution of economic models for the energy and water sectors; (2) balancing energy and land requirements across sectors; (3) integrated representation of the role of distribution infrastructure in alleviating resource challenges; (4) modeling of solution impacts on downstream environmental quality; (5) improved representation of the implementation challenges stemming from regional financial and institutional capacity; (6) enabling dynamic multi-sectoral vulnerability and adaptation needs assessment; and (7) the development of fully-coupled assessment frameworks based on consistent, scalable, and regionally-transferable platforms. Improved database management and computational power are needed to address many of these modeling challenges at a global-scale.
Evaluation of Lactoferrin Immunomodulatory Effect on the Immune Response of Broiler Chickens

Immunomodulators are substances that able to regulate or modulate immune responses. In order to investigate the lactoferrin effect on the immune system of broiler chickens,one hundred twenty (1-day-old) chicks of both sexes were randomly allocated into 2 dietary groups (60 chicks/group), group1 (G1): chicks were offered basal diets and kept as control group, group2 (G2): Chicks were offered basal diets supplemented with lactoferrin (250mg/kg diet for 6 weeks). Evaluating the effects of dietary supplementation with lactoferrin on growth performance of broiler chicks, humeral immunity by measuring antibody titer against Newcastle (ND) and Avian influenza (AIV)vaccine, and on innate immunity by measuring some functions of peripheral blood monocytes (PBM) as phagocytic activity, fungicidal activity, nitric oxide (NO) production and reactive oxygen species (ROS) production by tetrazolium reduction test. To study antibacterial effect of lactoferrin, challenge test was carried out using virulent E. coli strain . The results revealed that, lactoferrin improve growth performance and could stimulate the humeral immunity by increasing the antibody titer aginst ND and AIV vaccine . Also lactoferrin could enhance the innate immunity by significant increasing of phagocytic and Fungicidal activities of PBM and its production of ROS and NO. Lactoferrin have the ability to protect broiler chickens from virulent agents as E. coli. Therefore, lactoferrin may be used as immunostimulant, growth promoters and antibacterial agent in broiler chickens.
Intergenerational coresidence and subjective well-being of older adults in China: The moderating effect of living arrangement preference and intergenerational contacts

OBJECTIVES Intergenerational coresidence is usually assumed to be beneficial to the subjective well-being of the Chinese elderly, but this proposition is not well supported in empirical studies. This study addresses this puzzle by incorporating older adults’ living arrangement preference and their contact with noncoresidential children into the investigation. METHODS We used data from four waves of the CLHLS in 2005–2014 and applied fixed-effects models to examine the effect of intergenerational coresidence on Chinese elderly’s subjective well-being and how this effect was moderated by their living arrangement preference and contact with noncoresidential children. RESULTS Intergenerational coresidence declined steadily in 2005–2014, but the concordance between individual’s actual and preferred living arrangement remained very high, and most older adults living independently maintained frequent contact with their children. Intergenerational coresidence had no effect on older adults’ subjective well-being. However, the match between an individual’s actual and preferred living arrangements and the frequent contact between parents and their noncoresidential children were important to the subjective well-being of Chinese elderly. CONCLUSIONS Because the actual living arrangement of most of the Chinese elderly accorded with their preferred living arrangement and most older adults living independently maintained 1 Nanjing University, China. Email: xuqi19870527@163.com. 2 Nanjing University, China. 3 Jiangsu Strategy and Development Research Center, China. Xu, Wang & Qi: Intergenerational coresidence and subjective well-being of older adults in China 1348 http://www.demographic-research.org frequent contact with their children, problems resulting from the decline of intergenerational coresidence were limited. CONTRIBUTION This study provides a convincing explanation for the unexpected but repeatedly verified insignificant effect of intergenerational coresidence on Chinese elderly’s subjective well-being by incorporating two understudied factors into the analysis: older adults’ living arrangement preference and their contact with noncoresidential children.
Mindfulness Training and Cognitive Behavioral Therapy on Depression and Suicidal Ideation in Adolescent Girls With Bipolar II Disorder

: https://doi.org/10.29252/CJNS.5. 19.175 Use your device to scan and read the article online Article info: Received: 17 Apr 2019 First Revision: 10 May 2019 Accepted: 23 Jul 2019 Published: 01 Oct 2019 2018 The Authors. This is an open access article under the CC-By-NC license.
From categorical diagnosis to dimensional assessment of borderline personality

participants and procedure For this purpose, we modified an existing measure of borderline personality, the McLean Screening Instrument for Borderline Personality Disorder (MSI-BPD), and scrutinized its psychometric properties (i.e., reliability, factorial structure, criterion validity). To assess criterion validity we calculated correlations with pathological personality traits. Our sample comprised 354 participants (67.8% women).
A flexible model for spatial volatility with an application to the Chicago housing market

ABSTRACT Existing volatility models normally emphasize the behaviour of prices in a temporal sense and comparatively few studies have explicitly analysed the spatial variation of volatility. This paper proposes a flexible spatial volatility model for squared returns using a Box–Cox transformation that includes the linear and log-linear forms as special cases, thus providing a unified framework for simultaneously testing space-varying volatility and its functional form. The use of the model is illustrated by a substantive application to housing price data in the US city of Chicago. The estimation results suggest that housing returns in Chicago show that the volatility exhibits strong spatial dependence and the log-linear functional form is appropriate. In the final log-linear model, a new practical indicator, called neighbourhood elasticity, is proposed that determines how volatility in one neighbourhood is linked to that in surrounding neighbourhoods.
Omoya, Olanrewaju Ayobami and Papadopoulou, Kassandra A and Lou, Eric (2019) Reliability engineering application to pipeline design. International Journal of Quality & Reliability Management. ISSN 0265-671X

Purpose This paper investigates the application of reliability engineering to oil and gas pipeline systems with the aim of identifying means through which reliability engineering can be used to improve pipeline integrity, specifically with regards to man-made incidents (e.g. material/weld/equipment failure, corrosion, incorrect operation, excavation damages). Methodology – A literature review was carried out on the application of reliability tools to oil and gas pipeline systems and four case studies are presented as examples of how reliability engineering can help to improve pipeline integrity. The scope of the paper is narrowed to four stages of the pipeline life cycle, the decommissioning stage is not part of this research. A survey was also carried out using a questionnaire to check the level of application of reliability tools in the oil and gas industry. Findings – Data from survey and literature shows that a reliability centred approach can be applied and will improve pipeline reliability where applied, however, there are several hindrances to the effective application of reliability tools, the current methods are time-based and focus mainly on design against failure rather than design for reliability. Limitations/implications – The tools identified do not cover the decommissioning of the pipeline system. Research validation sample size can be broadened to include more pipeline stakeholders/professionals. Pipeline integrity management systems are proprietary information and permission is required from stakeholders to do a detailed practical study. Originality/Value -This paper proposes the minimum applied reliability tools for application during the design, operation and maintenance phases targeted at the oil and gas industry. Critically, this paper provides a case for an integrated approach to applying reliability and maintenance tools that are required to reduce pipeline failure incidents in the oil and gas industry. Paper type – Research Paper
AUTO TRANSFUSION AND BLOOD PRESSURE ELEVATION BY ELASTIC LEG COMPRESSION IN NORMAL SUBJECTS

Study Objective: This study was aimed to evaluate the physiological and biochemical effects of an autotransfusion tourniquet (ATT) that is intended for the emergency treatment of shock. The ATT is an elastic ring wrapped around by a longitudinal sleeve. When it is rolled up a limb it compresses the tissues beneath it with a pressure that is higher than the systolic blood pressure and remains as an arterial tourniquet at the proximal end of the limb. Methods: In this study we measured the extent of lower limb auto-transfusion and the rise in blood pressure induced by the ATT in 18 normal volunteers (16 male, age range 21-55). In addition, we searched for other cardiopulmonary and biochemical effects of applying the ATT for 20 minutes. Results: When the ATT was applied we found a 17.4; (14.5-20.3) (Mean; (CI))and 13.1; (11.0-15.1) mm Hg rise in systolic and diastolic blood pressures, respectively (p<0.0001). The leg volume dropped by 1040; (863-1216) ml during ATT application (p<0.0001). Ventilation and gas exchange parameters did not change except a slight rise in SpO2 (p<0.001). We found small, yet statistically significant, declines in CPK and lactic acid and minute rises in pH and K with no change in Ca and Na concentrations. Conclusion: This study confirmed the hypothesis that elastic leg compression induces significant autotransfusion and blood pressure elevation in normal volunteers. The biochemical data indicate that applying the ATT did not cause significant deleterious tissue ischemia or mechanical crush injury. The usefulness of this new method should be further evaluated in actual treatment of shock victims.
Multiplicative Zagreb Indices of Molecular Graphs

Mathematical modeling with the help of numerical coding of graphs has been used in the different fields of science, especially in chemistry for the studies of the molecular structures. It also plays a vital role in the study of the quantitative structure activities relationship (QSAR) and quantitative structure properties relationship (QSPR) models. Todeshine et al. (2010) and Eliasi et al. (2012) defined two different versions of the 1st multiplicative Zagreb index as 􏽑(Γ) � 􏽑p∈V(Γ)[dΓ(p) 2] and 􏽑1(Γ) � 􏽑pq∈E(Γ)[dΓ(p) + dΓ(q)], respectively. In the same paper of Todeshine, they also defined the 2nd multiplicative Zagreb index as 􏽑2(Γ) � 􏽑pq∈E(Γ)[dΓ(p) × dΓ(q)]. Recently, Liu et al. [IEEE Access; 7(2019); 105479–-105488] defined the generalized subdivision-related operations of graphs and obtained the generalized F-sum graphs using these operations. )ey also computed the first and second Zagreb indices of the newly defined generalized F-sum graphs. In this paper, we extend this study and compute the upper bonds of the first multiplicative Zagreb and second multiplicative Zagreb indices of the generalized F-sum graphs. At the end, some particular results as applications of the obtained results for alkane are also included.
Sharp Gaussian Approximation Bounds for Linear Systems with α-stable Noise

We report the results of several theoretical studies into the convergence rate for certain random series representations of α-stable random variables, which are motivated by and find application in modelling heavy-tailed noise in time series analysis, inference, and stochastic processes. The use of α-stable noise distributions generally leads to analytically intractable inference problems. The particular version of the Poisson series representation invoked here implies that the resulting distributions are “conditionally Gaussian,” for which inference is relatively straightforward, although an infinite series is still involved. Our approach is to approximate the residual (or “tail”) part of the series from some point, c > 0, say, to∞, as a Gaussian random variable. Empirically, this approximation has been found to be very accurate for large c. We study the rate of convergence, as c → ∞, of this Gaussian approximation. This allows the selection of appropriate truncation parameters, so that a desired level of accuracy for the approximate model can be achieved. Explicit, nonasymptotic bounds are obtained for the Kolmogorov distance between the relevant distribution functions, through the application of probability-theoretic tools. The theoretical results obtained are found to be in very close agreement with numerical results obtained in earlier work.
Genetic Diversity and Nutritional Components Evaluation of Bangladeshi Germplasms of Kidney Bean (Phaseolus vulgaris L.)

Considering the crucial focus on plant developments as high yielding, protein, and disease-resistant varieties, in this study, the genetic diversity and nutritional traits of available kidney bean germplasms found in Bangladesh have been evaluated based on seventeen quantitative and six nutritional traits. Analysis of genotypic, phenotypic variance and covariance showed that higher environmental influence was found in 1000-seed weight and seed yield/plant than other characters. High heritability was observed in dry weight (94.59%), leaf area (96.83%), days to 5 leaves stage (88.80%), number of leaves (87.38%) and number of pods per plant (87.32%), while high genetic advance was found in leaf area (59.46), 1000-seed weight (52.80), seed yield/plant (39.89). The genotypes were grouped in four clusters by diversity (D2) analysis where clusters I and III consisted of seven and one genotypes, respectively. Furthermore, highest inter and intracluster distance was found between Cluster I and Cluster III (23.742) and cluster IV (0.900) respectively. Principle component analysis revealed that days to 5- leaves stage, days to 1st flowering and days to 50% flowering were major characters contributing towards genetic diversity (74.8%) in Kidney bean. Analysis of nutritional traits showed that the germplasms of Sylhet region contained more carbohydrate (60.24-64.03%), fiber (2.08-2.46%) and ash (2.31-2.95%), whereas the germplasms of Bandarbanhad had more protein content (23.05-23.11%) than the released varieties used as control. In addition, the genotypes of the Sylhet region e.g. G6 (2.68t/ha), G5 (2.56 t/ha) and G4 (2.49 t/ha) showed maximum seed yield/ha. The results suggest that the germplasms of Sylhet and Bandarban could serve as valuable genetic resources to breed high yielding and super quality Kidney bean varieties.
Preparation of environmentally harmless paints based on self-crosslinking acrylate latexes and assessment their industrial coating properties

This paper describes the properties of environmentally harmless anticorrosion paints based on newly synthesized water-based polymeric acrylate dispersions and containing magnesium oxide nanoparticles at a concentration of 1.5 % relative to the monomers. An aqueous dispersion obtained by the same procedure, i.e. semi-continuous emulsion polymerisation, but containing no MgO nanoparticles, had served as a reference system when evaluating the effect of the nanoparticles. The paints have been studied with respect to the effects of the new binder and of various environmentally harmless pigments possessing different chemical compositions and particle shapes on the anticorrosion efficiency of the paint film. The paint film’s mechanical and chemical resistance was also evaluated because a high mechanical and chemical resistance of the coating is a prerequisite for high anticorrosion efficiency of the paint system. The results of measurements of the mechanical, chemical as well as corrosion resistance of the latex films have demonstrated better protective properties of the new polymeric dispersions with magnesium nanoparticles compared to the reference system that did not contain any nanoparticles.
ESTIMATING ABOVEGROUND BIOMASS OF BAMBOO AND MIXED BAMBOO FOREST IN THUA THIEN-HUE PROVINCE, VIET NAM USING PALSAR-2 AND LANDSAT OLI DATA

Abstract. In this study, above-ground biomass (AGB) performance was evaluated by PALSAR-2 L-band and Landsat data for bamboo and mixed bamboo forest. The linear regression model was chosen and validated for forest biomass estimation in A Luoi district, Thua Thien Hue province, Vietnam. A Landsat 8 OLI image and a dual-polarized ALOS/PALSAR-2 L-band (HH, HV polarizations) were used. In addition, 11 diferrent vegetation indices were extracted to test the performance of Landsat data in estimating forest AGB Total of 54 plots were collected in the bamboo and mixed bamboo forest in 2016. The linear regression is used to evaluate the sensitivity of biomass to the obtained parameters, including radar polarization, optical properties, and some vegetation indices which are extracted from Landsat data. The best-fit linear regression is selected by using the Bayesian Model Average for biomass estimation. Leave-one-out cross-validation (LOOCV) was employed to test the robustness of the model through the coefficient of determination (R squared – R2) and Root Mean Squared Error (RMSE). The results show that Landsat 8 OLI data has a slightly better potential for biomass estimation than PALSAR-2 in the bamboo and mixed bamboo forest. Besides, the combination of PALSAR-2 and Landsat 8 OLI data also has a no significant improvement (R2 of 0.60) over the performance of models using only SAR (R2 of 0.49) and only Landsat data (R2 of 0.58–0.59). The univariate model was selected to estimate AGB in the bamboo and mixed bamboo forest. The model showed good accuracy with an R2 of 0.59 and an RMSE of 29.66 tons ha−1. The comparison between two approaches using the entire dataset and LOOCV demonstrates no significant difference in R (0.59 and 0.56) and RMSE (29.66 and 30.06 tons ha−1). This study performs the utilization of remote sensing data for biomass estimation in bamboo and mixed bamboo forest, which is a lack of up-to-date information in forest inventory. This study highlights the utilization of the linear regression model for estimating AGB of the bamboo forest with a limited number of field survey samples. However, future research should include a comparison with non-linear and non-parametric models.
ModFalcon: Compact Signatures Based On Module-NTRU Lattices

Lattices lead to promising practical post-quantum digital signatures, combining asymptotic efficiency with strong theoretical security guarantees. However, tuning their parameters into practical instantiations is a delicate task. On the one hand, NIST round~2 candidates based on Lyubashevsky's design (such as dilithium and qtesla) allow several tradeoffs between security and efficiency, but at the expense of a large bandwidth consumption. On the other hand, the hash-and-sign falcon signature is much more compact and is still very efficient, but it allows only two security levels, with large compactness and security gaps between them. We introduce a new family of signature schemes based on the falcon design, which relies on module lattices. Our concrete instantiation enjoys the compactness and efficiency of falcon, and allows an intermediate security level. It leads to the most compact lattice-based signature achieving a quantum security above 128 bits.