Miracle-dz/UniFAR-FTUs huggingface dataset:
New data on deep-water corals and sponges from Spanish/EU and Canadian bottom trawlgroundfish surveys in the NAFO Regulatory Area (Divs. 3LMNO): 2008-2010 period

New data on deep-water corals and sponges are presented based on Spanish/EU and Canadian bottom trawl groundfish surveys for the period 2008-2010 in order to make these data available to the NAFO WGEAFM and improve the mapping of sensitive species in the NAFO Regulatory area (Divs. 3LMNO). “Significant” catches (according to the NAFO definition from groundfish surveys) of deep-water corals and sponges are provided and mapped together with the areas closed in 2010. Most of the significant catches of sponges (88%) are inside of the closed areas, meanwhile for corals the results are different according to the group considered. For large gorgonians the 40% are inside, for small gorgonians the 25% and for sea pens all the significant catches recorded are outside of the closed areas.
Cytotoxicity Assay and Target Inhibition

H-2 antigens encoded by the K and the D end of the major histocompatibility complex (MHC) t are the primary target structures for alloreactive cytolytic T lymphocytes (CTL) (1-3). However, little is known about the repertoire of H-2specific CTL and about which parts and epitopes of the H-2 antigens are recognized by CTL. Recently (4) we were able to identify with a panel of monoclonal antibodies (mAb) two spatially separated domains on the H-2K k molecule that harbor the alloantigenic sites defined by mAb (see Fig. 1). Using target inhibition of H-2Kk-specific CTL generated in a bulk culture system, we found that antibodies to one domain (cluster B) exerted a much stronger inhibitory effect than antibodies to antigenic determinants in cluster B, indicating a preponderance of CTL with specificity for cluster B (5). The presence of each individual mAb during the effector phase resulted in only partial blockade of the heterogeneous CTL population, whereas a mixture of all mAb could almost completely inhibit target cell lysis. These results suggest that the CTL are multiclonal and heterogeneous and that different epitopes on the H-2K k antigen are recognized by different CTL clonotypes. To verify this conclusion in the present report the fine specificity and repertoire of CTL clones were investigated. CTL clones were generated in a limiting dilution system that allows rapid analysis of hundreds of clones. Our results demonstrate the existence of at least three different CTL subpopulations against the H-2K k molecule differing not only in their precursor frequencies but also in their repertoire. Thus the majority of clones in a high frequent subpopulation recognize almost exclusively determinants of cluster A whereas the less frequent population is predominantly specific for cluster B. The generation and expression of these CTL subpopulations appears to be controlled by as yet unknown regulatory mechanisms.
Effects of Solvent and Electrospinning Parameters on the Morphology and Piezoelectric Properties of PVDF Nanofibrous Membrane

PVDF electrospun membranes were prepared by employing different mixtures of solvents and diverse electrospinning parameters. A comprehensive investigation was carried out, including morphology, nanofiber diameter, crystallinity, β-phase fraction, and piezoelectric response under external mechanical strain. It was demonstrated that by using low-toxicity DMSO as the solvent, PVDF membranes with good morphology (bead-free, smooth surface, and uniform nanofiber) can be obtained. All the fabricated membranes showed crystallinity and β-phase fraction above 48% and 80%, respectively; therefore, electrospinning is a good method for preparing PVDF membranes with the piezoelectric properties. Moreover, we considered a potential effect of the solvent properties and the electrospinning parameters on the final piezoelectric properties. When PVDF membranes with different β-phase fractions and crystallinity values are applied to make the piezoelectric transducers, various piezoelectric voltage outputs can be obtained. This paper provides an effective and efficient strategy for regulating the piezoelectric properties of PVDF electrospun membranes by controlling both solvent dipole moment and process parameters. To the best of our knowledge, this is the first time that the influence of a solvent’s dipole moment on the piezoelectric properties of electrospun materials has been reported.
Distribution Network Planning Based on Improved Niche Genetic Algorithm

This paper presented an improved niche genetic algorithm, and applied it in the distribution network planning. A distribution network model was established, which took into consideration the loss、feeder substation construction cost and network annual maintenance depreciation. The improvements containedinthealgorithmwasasfollows:thediscriminatingstandard length for distances amongindividuals is set as the dynamic function tokeepthediversityofcolonies;theelitiststrategyisadoptedtoensure theconvergenceofthealgorithm;thecirclingstrategyoflocalextreme values is used as auxiliary termination principle to avoid falling into local optima. On this basis, a restoration scheme including the isolated chain, isolated nodes and closed loop based on the graph theory and search technology, restores the nonradial network generated by genetic operation to radial network. The calculation examplesshowthatthismethodispracticalandeffective.
Influence of circumferential grooves on the non-linear oscillations of turbocharger rotors in floating ring bearings

Numerical run-up simulations of an automotive turbocharger are carried out in order to investigate the influence of circumferential grooves on the non-linear vibration behavior. The turbocharger rotor is modeled as a flexible multibody system. The hydrodynamic bearing forces are calculated based on two different approaches. Firstly, a modified short bearing solution is derived. Secondly, a finite-element model is coupled to the rotor model by means of a co-simulation technique. The latter is used to validate the modified short bearing solution. The results with circumferential grooves are compared to the results obtained with plain cylindrical bearings.
Intervention Effect of Mindfulness-Based Cognitive Therapy on Diabetes-Related Distress and Self-Care

Background: Diabetes-related distress (DD) will seriously affect the therapeutic effect of diabetes and the physical and mental health of patients if an intervention treatment is not well implemented. We aimed to explore the effect of mindfulness-based cognitive therapy (MBCT) on the DD level and self-care capability of patients with diabetes. Method: Sixty-eight patients with type 2 diabetes mellitus (T2DM) were selected from the Department of Endocrinology in Jinhua People’s Hospital, China and divided into control (CG) and intervention (IG) groups. Routine diabetes health education (RDHE) was only carried out in the CG, whereas the RDHE and MBCT were provided to the IG. Repeated ANOVA measurements were adopted to investigate the intergroup differences of these two intervention therapies on improving the DD and self-care capability of patients with diabetes. Results: RDHE and MBCT could relieve the DD level of patients with diabetes, but the DD value in IG was lower than that in CG. In comparison with RDHE, MBCT and RDHE could significantly improve the diet and exercise dimensions of patients, and such improvement effects were significantly sustaining (P<0.05). MBCT and RDHE exerted better effects than RDHE alone on blood glucose testing, foot care, and medication intake. However, these effects were not sustaining. Conclusion: The care and medication guide provided by MBCT consultants and medical staff can significantly relieve the patients’ DD and enhance their self-care capability. As a low-cost psychological intervention therapy with good sustaining effects, MBCT is important to strengthen the therapeutic effect on diabetes and lowering the medical cost.
A Muscle Synergy-Driven ANFIS Approach to Predict Continuous Knee Joint Movement

Continuous motion prediction plays a significant role in realizing seamless control of robotic exoskeletons and orthoses. Explicitly modeling the relationship between coordinated muscle activations from surface electromyography (sEMG) and human limb movements provides a new path of sEMG-based human–machine interface. Instead of the numeric features from individual channels, we propose a muscle synergy-driven adaptive network-based fuzzy inference system (ANFIS) approach to predict continuous knee joint movements, in which muscle synergy reflects the motor control information to coordinate muscle activations for performing movements. Four human subjects participated in the experiment while walking at five types of speed: 2.0 km/h, 2.5 km/h, 3.0 km/h, 3.5 km/h, and 4.0 km/h. The study finds that the acquired muscle synergies associate the muscle activations with human joint movements in a low-dimensional space and have been further utilized for predicting knee joint angles. The proposed approach outperformed commonly used numeric features from individual sEMG channels with an average correlation coefficient of 0.92 $ \pm $ 0.05. Results suggest that the correlation between muscle activations and knee joint movements is captured by the muscle synergy-driven ANFIS model and can be utilized for the estimation of continuous joint angles.
Mosque Energy Performance, Part I: Energy Audit and Use Trends Based on the Analysis of Utility Billing Data@@@أداء الطاقة في المساجد الجزء الأول : معاينة استخدامات الطاقة بناءً على تحليل بيانات فواتير استهلاك الكهرباء

Mosques are distinguished from other types of buildings by having a unique function characterized by an intermittent operation schedule. Within a given area and time zone, mosques are operated simultaneously, which could have an impact on the demand for energy particularly in areas that are highly dependent on mechanical airconditioning, and/or heating for achieving thermal comfort. The importance of achieving thermal comfort in mosques to enable worshippers perform prayers in a spiritual environment with minimum energy requirements; make the thermal design and operation of energy systems in mosques critical parameters in determining their performance. The analysis of electric energy bills data is a feasible and useful approach in showing the general trend and the history of energy use. The billing data can provide a reasonable estimate of the overall annual electric energy use in mosques. This study presents the analysis of five-year electric energy billing data for five typical mosques in the hot-humid climate of the eastern region of Saudi Arabia. The aim is to assess and compare energy use trends over time of different types of mosques as a step towards a comprehensive study of their energy systems, overall thermal performance and operation strategies.
Fuzzy determination of AlF3 addition and aluminum tapping volume in aluminum electrolyzing process

AlF3 addition and aluminum tapping volume are two important factors that affect economic index of aluminum electrolyzing production.Fuzzy control technology was adopted to adjust AlF3 addition and aluminum tapping volume,so as to control temperature in aluminum electrolyzing cells.The system includes several modules such as pretreatment of parameters,expert knowledge database,data fuzzification,fuzzy logical determination,and adaptability of fuzzy rules ect.The system has been applied to 300 kA aluminum electrolytic cell of a certain aluminum plant.Operation shows that electrolytic temperature is kept in 945 to 955 ℃ stably,current efficiency reaches 94.5%,and DC energy consumption is 13 000 kW·h per ton aluminum.
EFFECT OF THE COMPOSITION OF A MANGANESE-CONTAINING POLYMER CATALYST ON THE KINETICS OF THE OXIDATION REACTION OF N-HEPTANE WITH MOLECULAR OXYGEN

Catalysts with manganese nanoparticles (5 and 10 wt %) immobilized on poly-4-vinylpyridine were prepared. When interacting with molecular oxygen, the catalyst forms active oxygen, which is involved in the low-temperature oxidation of n-heptane. These catalyst compositions have been used to oxidize n-heptane with pure oxygen to give alcohols, aldehydes and ketones. Oxidation of n-heptane was carried out in the temperature range 303-383 K, molar ratios of heptane:oxygen = 1:3.38, and at atmospheric pressure. It has been found that the non-crosslinked (MnP4VP polymer poly-4-vinylpyridine) and N,N-methylene-bis-acrylamide-crosslinked MnP4VP/MBAA metal-polymer catalyst containing 5 wt % Mn2+ exhibits the highest activity in n-heptane oxidation reactions. The kinetic parameters of the reaction of n-heptane oxidation with oxygen at low temperatures were studied using a kinetic model based on the heptane conversion data. The kinetic model was compiled on the basis of experimental data: heptane:oxygen = 1:3.38 at atmospheric pressure using Mn (wt. 5%) P4VP/MBAA in the temperature range 303-383 K. Within the framework of the chosen kinetic model effective rate constants of the oxidation reaction with the formation of alcohols was calculated
A Deep Learning Model for Network Intrusion Detection with Imbalanced Data

With an increase in the number and types of network attacks, traditional firewalls and data encryption methods can no longer meet the needs of current network security. As a result, intrusion detection systems have been proposed to deal with network threats. The current mainstream intrusion detection algorithms are aided with machine learning but have problems of low detection rates and the need for extensive feature engineering. To address the issue of low detection accuracy, this paper proposes a model for traffic anomaly detection named a deep learning model for network intrusion detection (DLNID), which combines an attention mechanism and the bidirectional long short-term memory (Bi-LSTM) network, first extracting sequence features of data traffic through a convolutional neural network (CNN) network, then reassigning the weights of each channel through the attention mechanism, and finally using Bi-LSTM to learn the network of sequence features. In intrusion detection public data sets, there are serious imbalance data generally. To address data imbalance issues, this paper employs the method of adaptive synthetic sampling (ADASYN) for sample expansion of minority class samples, to eventually form a relatively symmetric dataset, and uses a modified stacked autoencoder for data dimensionality reduction with the objective of enhancing information fusion. DLNID is an end-to-end model, so it does not need to undergo the process of manual feature extraction. After being tested on the public benchmark dataset on network intrusion detection NSL-KDD, experimental results show that the accuracy and F1 score of this model are better than those of other comparison methods, reaching 90.73% and 89.65%, respectively.
Do Political Factors Affect Fiscal Consolidation? Evidence From Spanish Regional Governments

This paper empirically examines the political factors behind the different fiscal consolidation paths across Spanish regions over the period 2004 to 2017. Spanish regions provide an interesting case study due to both the strong fiscal decentralization and the deep impact of the so-called “Great Recession” on subcentral budget constraints in Spain. The estimates confirm that governments react to fiscal imbalances by reducing expenditure growth, but this reaction depends on the electoral budget cycle and the results of elections. Fiscal consolidation tends to stop in election years and is boosted by changes in the incumbent. By contrast, neither ideology nor fragmentation of government systematically affects the dynamics of fiscal adjustment.
Mining World Indicators for Analyzing and Modeling the Development of Countries

The world indicators released by the World Bank or other organizations usually give the basic public knowledge about the world. However, separate and static index lacks the complex interplay among different indicators and thus cannot help us have an overall understanding of the world. To this end, we study the world indicators from a different angle. Firstly, we discover that there exist correlations between indicators either from a static view or from a dynamic view. Moreover, taking the trade and diplomatic relationships into consideration, we construct a multi-relational network to depict the interactions between different countries, and propose a Multiple Relations to Vector (MR2vec) model to study world indicators from a network perspective. The experimental results show the changes of world indicators are predictable with the proposed model, and our proposed MR2vec has wide adaptability in predicting multi-relation networks.
New Technologies, Organisation and Age: Firm-Level Evidence

We investigate the relationships between new technologies, innovative workplace practices and the age structure of the workforce in a sample of French firms. We find evidence that the wage-bill share of older workers is lower in innovative firms and that the opposite holds for younger workers. This age bias affects both men and women. It is also evidenced within occupational groups. More detailed analysis of employment inflows and outflows shows that new technologies essentially affect older workers through reduced hiring opportunities. In contrast, organisational innovations mainly affect their probability of exit, which decreases much less than for younger workers following reorganisation. Copyright 2006 Royal Economic Society. (This abstract was borrowed from another version of this item.)
Roadmap for the deployment of WAMPAC in the future GB power system

This study presents a specific roadmap for the deployment of a wide area monitoring, protection, and control (WAMPAC) system in the future Great Britain (GB) power system. The specific roadmap is designed based on a generic roadmap, which draws on international experience with the development of WAMPAC systems, and a study of the changes in the GB power system. Based on this, the proposed specific roadmap identifies wide area oscillation monitoring as a key short term goal for the GB WAMPAC system and wide area oscillation control as a key long term goal for the GB WAMPAC system. To verify that this short term goal can be delivered simulations of a complete model of the GB power system that demonstrate that a new method based on a Newton Type algorithm will be more than capable of providing accurate oscillation monitoring in the GB WAMPAC system. Furthermore, for the same complete GB model it is demonstrated that the West coast CSC HVDC link can be used to create a powerful tool for oscillation damping that, with further research, should be capable of delivering the long-term goal of wide area oscillation control as part of the specific GB WAMPAC roadmap.
The Effects of Playground Interventions on Accelerometer-Assessed Physical Activity in Pediatric Populations: A Meta-Analysis

Playgrounds are designed to be a safe, enjoyable, and effective means to promote physical activity in children and adolescents. The purpose of this study was to conduct a meta-analysis to determine the effectiveness of playground interventions for improving accelerometer-assessed ambulatory moderate-to-vigorous physical activity (MVPA) and to identify common aspects of playground interventions that may be beneficial to promote behavior change. An internet database search was performed. The final analyzed sample of studies was obtained from several criteria, including being a playground-based intervention targeting children or adolescents, having a control or comparison group, having an accelerometer-assessed MVPA outcome target variable, and reporting of the mean difference scores’ variability. A random-effects model meta-analysis was employed to obtain pooled effect sizes. Ten studies (n = 10) were analyzed from the internet search. The weighted pooled effect (Hedges’ g) across all studies was Hedges’ g = 0.13, 95% CI: 0.02–0.24, p = 0.023. There was moderate study heterogeneity (I2 = 55.3%) but no evidence for publication bias (p = 0.230). These results suggest that school-based playground interventions have a small effect on increasing accelerometer-assessed MVPA within the pediatric population. The playground should still be an environmental target during school or community-based interventions aimed at providing opportunities to promote MVPA.
Insufficient Fruit and Vegetable Intake and Low Potassium Intake Aggravate Early Renal Damage in Children: A Longitudinal Study

Insufficient fruit and vegetable intake (FVI) and low potassium intake are associated with many non-communicable diseases, but the association with early renal damage in children is uncertain. We aimed to identify the associations of early renal damage with insufficient FVI and daily potassium intake in a general pediatric population. We conducted four waves of urine assays based on our child cohort (PROC) study from October 2018 to November 2019 in Beijing, China. We investigated FVI and other lifestyle status via questionnaire surveys and measured urinary potassium, β2-microglobulin (β2-MG), and microalbumin (MA) excretion to assess daily potassium intake and renal damage among 1914 primary school children. The prevalence of insufficient FVI (<4/d) was 48.6% (95% CI: 46.4%, 50.9%) and the estimated potassium intake at baseline was 1.63 ± 0.48 g/d. Short sleep duration, long screen time, lower estimated potassium intake, higher β2-MG and MA excretion were significantly more frequent in the insufficient FVI group. We generated linear mixed effects models and observed the bivariate associations of urinary β2-MG and MA excretion with insufficient FVI (β = 0.012, 95% CI: 0.005, 0.020; β = 0.717, 95% CI: 0.075, 1.359), and estimated potassium intake (β = −0.042, 95% CI: −0.052, −0.033; β = −1.778, 95% CI: −2.600, −0.956), respectively; after adjusting for age, sex, BMI, SBP, sleep duration, screen time and physical activity. In multivariate models, we observed that urinary β2-MG excretion increased with insufficient FVI (β = 0.011, 95% CI: 0.004, 0.018) and insufficient potassium intake (<1.5 g/d) (β = 0.031, 95% CI: 0.023, 0.038); and urinary MA excretion increased with insufficient FVI (β = 0.658, 95% CI: 0.017, 1.299) and insufficient potassium intake (β = 1.185, 95% CI: 0.492, 1.878). We visualized different quartiles of potassium intake showing different renal damage with insufficient FVI for interpretation and validation of the findings. Insufficient FVI and low potassium intake aggravate early renal damage in children and underscores that healthy lifestyles, especially adequate FVI, should be advocated.
The Price of Access: Graduate Student Debt for Students of Color 2000 to 2016

ABSTRACT Despite an increase in enrollments across public and private higher education sectors, Black/African American and Hispanic students in graduate and professional programs are disproportionately affected by educational debt. Using nationally-representative data from NPSAS:2000 and NPSAS:2016, findings show that, in general, Black/African American and Hispanic graduate students borrowed more than students of other races and experienced the largest percentage increase in borrowing from 2000 to 2016. While debt is typically higher for all graduate students in private versus public institutions, the highest debt was incurred by Black/African Americans in private for-profit programs. Implications are discussed, including the need to provide opportunities for enrollment without creating disproportionately higher debt for students of color.