Miracle-dz/UniFAR-FTUs huggingface dataset:
Striatal dopamine function in rodent models of human movement disorders : an antisense approach

The dopamine transporter (DAT) functions primarily as a means for the termination of dopaminergic neurotransmission, but may also play a role in the pathogenesis of Parkinson's disease. Recent studies have implicated the DAT in the uptake of two experimental neurotoxins, l-methyl-4-phenyl-l,2,3,6-tetrahydropyridine (MPTP) and 6-hydroxydopamine. Here, in vivo administration of phosphorothioate antisense oligonucleotides targeting DAT mRNA in the left substantia nigra pars compacta resulted in reduced [H] WIN 35,428 binding to D A T in the left striatum and significant levodopa and amphetamine-induced contralateral rotations. Unilateral pretreatment with DAT antisense prior to bilateral intrastriatal infusion of either neurotoxin resulted in asymmetrical striatal DAT binding and dopamine content indicating significant preservation ipsilateral to antisense pretreatment. As well, significant apomorphine-induced ipsilateral rotations were observed, suggesting neuroprotection of nigrostriatal neurons on the antisense-treated side. Thus, the D A T appears to play a critical role in determining susceptibility to these experimental neurotoxins and may prove useful as a marker for susceptibility to Parkinson's disease and as a target for therapeutic intervention. Regulation of dopamine neurotransmission by the D A T may also be an important factor in the development of drug-induced dyskinesias. Dyskinesias are abnormal involuntary movements which develop as a side-effect of long-term treatment with either levodopa for Parkinson's (levodopa-induced dyskinesias) or antipsychotics (tardive dyskinesia) for schizophrenia. The mechanism underlying these dyskinesias remains unclear but may involve heightened activity in dopamine D! receptor-bearing striatonigral
Kernel Interpolation of High Dimensional Scattered Data

Data sites selected from modeling high-dimensional problems often appear scattered in non-paternalistic ways. Except for sporadic-clustering at some spots, they become relatively far apart as the dimension of the ambient space grows. These features defy any theoretical treatment that requires local or global quasi-uniformity of distribution of data sites. Incorporating a recently-developed application of integral operator theory in machine learning, we propose and study in the current article a new framework to analyze kernel interpolation of high dimensional data, which features bounding stochastic approximation error by a hybrid (discrete and continuous) $K$-functional tied to the spectrum of the underlying kernel matrix. Both theoretical analysis and numerical simulations show that spectra of kernel matrices are reliable and stable barometers for gauging the performance of kernel-interpolation methods for high dimensional data.
Using Chess Metrics to Measure the Effect of Emotion on Formants

The phonetic correlates of emotion have been studied since at least Darwin’s Expression of the Emotion in Man and Animals (1872). However, experimental studies on the subject have suffered from a lack of emotionally-colored data (Gobl & Chasaide, 2003; Murray & Arnott, 1993). On the one hand, eliciting emotions in experimental subjects through subterfuge is difficult and likely not ethical. On the other hand, using recordings from professional actors assumes that all emotional cues are perceptible and mimicable, which is not necessarily the case (Arndt & Janney, 1991). When it comes to phonetic variables, studies about the effect of emotion on formants are scarce (but Goudbeek et al. 2009; Waraama et al., 2018), largely due to the fact that prosodic cues appear to be far more perceptually salient (Carlson et al., 1992; Starkweather, 1960).
Slowing Down or Racing Ahead: Heterogeneity in Firm-performance in the Netherlands

Using firm-level data for the Netherlands, we explore whether the productivity slowdown is an economy wide phenomenon, or whether there is firm heterogeneity in this respect. We calculate aggregate productivity patterns from firm-level data, and look at measures of dispersion. In addition, we investigate the persistence of productivity performance, and document differences in firm characteristics across the productivity distribution. Finally, we investigate the correlation of worker income with firm-level productivity. The paper presents a first, preliminary set of results, and at this stage is not for quotation.
Tectonic and depositional setting of the lower Cambrian and lower Silurian ma- rine shales in the Yangtze Platform: Implications for Shale Gas Exploration and Production

Marine shales of the Lower Cambrian Qiongzhusi and Lower Silurian Longmaxi formations are extensively distributed in the Yangtze Platform. Detailed depositional and tectonic analyses and regional mapping indicated that the organic-rich Qiongzhusi-equivalent shale was deposited in an intra-shelf low-slope environment in a passive margin setting. The
Time series ordinal classification via shapelets

Nominal time series classification has been widely developed over the last years. However, to the best of our knowledge, ordinal classification of time series is an unexplored field, and this paper proposes a first approach in the context of the shapelet transform (ST). For those time series dataset where there is a natural order between the labels and the number of classes is higher than 2, nominal classifiers are not capable of achieving the best results, because the models impose the same cost of misclassification to all the errors, regardless the difference between the predicted and the ground-truth. In this sense, we consider four different evaluation metrics to do so, three of them of an ordinal nature. The first one is the widely known Information Gain (IG), proved to be very competitive for ST methods, whereas the remaining three measures try to boost the order information by refining the quality measure. These three measures are a reformulation of the Fisher score, the Spearman’s correlation coefficient (ρ), and finally, the Pearson’s correlation coefficient (R2). An empirical evaluation is carried out, considering 7 ordinal datasets from the UEA & UCR time series classification repository, 4 classifiers (2 of them of nominal nature, whereas the other 2 are of ordinal nature) and 2 performance measures (correct classification rate, CCR, and average mean absolute error, AMAE). The results show that, for both performance metrics, the ST quality metric based on R2 is able to obtain the best results, specially for AMAE, for which the differences are statistically significant in favour of R2.
Influence of prior exercise on stroke volume to pulse pressure ratio in young subjects with hypertension or dilated cardiomyopathy

La presente etude a eu pour objectifs de comparer les rapports volume systolique a pression differentielle de l'artere brachiale (VS/PD) en tant qu'estimations indirectes, non invasives de la compliance arterielle totale, puis de determiner l'effet d'un effort sous-maximal sur ce rapport ainsi que sur la conductance vasculaire peripherique totale et du mollet chez de jeunes sujets souffrant d'hypertension arterielle essentielle ou de cardiomyopathie dilatee et chez des sujets normaux du meme âge. Nous avons examine de jeunes patients (<40 ans) souffrant d'hypertension essentielle primaire (n = 12) ou de cardiomyopathie dilatee (n = 12) et des sujets normotendus en sante (n = 12) du meme âge et de meme taille. Le volume systolique estime par Doppler, la PD arterielle brachiale et le debit sanguin dans le mollet ont ete determines au repos en position couchee, avant et 60 min apres l'effort. Les sujets hypotendus et normotendus ont ete examines un mois plus tard pour determiner la reproductibilite du rapport VS/PD. Au repos, le rapport VS/PD a ete inversement relie a l'indice de la masse ventriculaire gauche (r = -0,55, p < 0,001); il a ete similaire chez les sujets hypertendus et normotendus, mais significativement inferieur (p < 0,05) chez les sujets souffrant de cardiomyopathie. Le rapport VS/PD a ete reduit 60 min apres l'effort tant chez les sujets normotendus (p < 0,05) qu'hypertendus (p < 0,05), ce qui n'a pas ete le cas chez les patients souffrant de cardiomyopathie. A l'oppose, la conductance vasculaire totale et du mollet a augmente apres l'effort chez les trois groupes. Ces effets secondaires indiquent que ces estimations de la compliance et de la conductance ne sont pas stationnaires et pourraient etre modules de facon aigue et independante durant l'effort.
A Comparison: Composite Index of Anthropometric Failure (CIAF) Incidence in Bukittinggi City and Dharmasraya District, Indonesia

Malnutrition that occurs in an early period of life led to the vulnerable to diseases, cognitive disorder, and failed to thrive. Failed to thrive happened when the result of anthropometric measurement indicates a problem. If the problem showed in two or more indexes, it is called CIAF. In Indonesia, one of ten children had suffered from CIAF (9,3%). Cities or districts in Indonesia use only a single index, so the data of CIAF is not available. He objective of the study was to compare the incidence of CIAF in one city and district in Indonesia. A cross-sectional design applied in this study with the number of the sample was 196 children aged 2 – 5 years, every 98 children in Bukittinggi City and Dharmasraya District. There were 22,45% of children suffered from CIAF in Bukittinggi, slightly different in Dharmasraya, which is 21,40%. The cases mostly happen to the girls in both places in the form of wasted stunted. The number of normal children was higher in the city better than in the district region. There is no significant difference in the number of CIAF incidence in the city or the district region. The nutritional status of children is better in the city. The mother was to be expected to pay more attention to the girl's nutrition because they tended to suffer nutritional problems. Provide enough food and protection from the disease are essential to keep their nutritional status in the optimal condition.
Freezing Tolerance in Leaves and Crowns of Tall Fescue and Their Relation to the Contents of Carbohydrates and Proline During Overwintering

The contents of total soluble carbohydrates (TSC) and proline in leaves and crowns of tall fescue (Festuca arundinacea) were increased with decreasing temperature during overwintering, which resulted in improvement of freezing tolerance in relative organs, and vice versa in spring. It was showed that there existed a significant negative relation between LT_(50) and the contents of TSC and proline.
EPIDEMIOLOGY OF HIP FRACTURES IN JAMMU

Introduction: in north India. around hip fracture, analyzed in frequencies. May 2018.Hip fractures were seen more among females than males. Around 50% fractures were seen in elderly patients with age above 60 years. Intertrochanteric fractures were most co hip followed by neck of femur fractures. mortality. Most of these fractures result due to trivial trauma to already weakened bone. Multiple safety measures to prevent are needed.
Implementation planning for lung cancer screening in China

Abstract Lung cancer is the leading cause of cancer-related deaths in China, with over 690 000 lung cancer deaths estimated in 2018. The mortality has increased about five-fold from the mid-1970s to the 2000s. Lung cancer low-dose computerized tomography (LDCT) screening in smokers was shown to improve survival in the US National Lung Screening Trial, and more recently in the European NELSON trial. However, although the predominant risk factor, smoking contributes to a lower fraction of lung cancers in China than in the UK and USA. Therefore, it is necessary to establish Chinese-specific screening strategies. There have been 23 associated programmes completed or still ongoing in China since the 1980s, mainly after 2000; and one has recently been planned. Generally, their entry criteria are not smoking-stringent. Most of the Chinese programmes have reported preliminary results only, which demonstrated a different high-risk subpopulation of lung cancer in China. Evidence concerning LDCT screening implementation is based on results of randomized controlled trials outside China. LDCT screening programmes combining tobacco control would produce more benefits. Population recruitment (e.g. risk-based selection), screening protocol, nodule management and cost-effectiveness are discussed in detail. In China, the high-risk subpopulation eligible for lung cancer screening has not as yet been confirmed, as all the risk parameters have not as yet been determined. Although evidence on best practice for implementation of lung cancer screening has been accumulating in other countries, further research in China is urgently required, as China is now facing a lung cancer epidemic.
Augmented Reality Platform to foster Collaborative Manipulation of 3D virtual objects: A Prototype

— This paper presents a prototype platform that enables co-located collaboration through manipulation of virtual objects using Augmented Reality (AR) interfaces. The goal is to allow multiple users to collaborate in shared activities, taking advantage of recent advances in AR interaction methods and hardware. As case study, we focus in three main modules: 1-Assembly of a virtual race car; 2-Collaborative construction of a virtual racetrack; 3-Collaborative competition using the virtual content created using previous modules. We employed different manipulation techniques depending on the AR device being used, such as touch gestures, device movement and controllers. The communication architecture developed for the platform allows synchronous manipulation of virtual objects among different cross-platform devices.
A Comparative Study of Network Performance between ContikiMAC and XMAC Protocols in Data Collection Application with ContikiRPL

— This paper will present several research results evaluating the performance of ContikiMAC and XMAC protocols in data collection application with the RPL routing protocol. Simulation results show that ContikiMAC protocol gets better efficiency compared with XMAC protocol in both successful data delivery ratio and average energy consumption in the network. ContikiMAC protocol also performs well in high-density network condition. Meanwhile, successful data delivery ratio of XMAC protocol significantly reduced when the network density increases. The evaluating simulation results in this paper are an important basis for scientists to continue developing applications for wireless sensor networks in the future.
Bagging Constrained Forecasts with Application to Forecasting Equity Premium

The literature on excess return prediction has considered a wide array of estimation schemes, among them unrestricted and restricted regression coe¢ cients. We propose bootstrap aggregation (bagging) as a means of imposing parameter restrictions. In this context, bagging results in a soft threshold as opposed to the hard threshold that is implied by a simple restricted estimation. We show analytically that the resulting forecast has lower variance than the forecast that results from a simple restricted estimator. In an empirical application using the same data set as in Campbell and Thompson (2008), Predicting the Equity Premium Out of Sample: Can Anything Beat the Historical Average? , we show that the resulting forecasts have more predictive power than those resulting from simple parameter restrictions.
Pension Adequacy Standards: Empirical Estimates for the United States and Germany

Due to increasing life expectancy pension provisions need to last longer and longer, casting doubt on the financial security of pensioners. Surprisingly, it is unclear what pension level can be considered to be adequate. In this paper, we propose a general framework for the estimation of pension adequacy standards. Applying a range of econometric estimation techniques to data from the U.S. and Germany, we find that a net pension income around 100% of the last net working life income can be considered adequate, give or take 10 percentage points. Extensive sensitivity checks suggest that this finding is robust.
Multistability and Formation of Spiral Waves in a Fractional-Order Memristor-Based Hyperchaotic Lü System with No Equilibrium Points

Multistablity analysis and formation of spiral wave in the fractional-order nonlinear systems is a recent hot topic. In this paper, dynamics, coexisting attractors, complexity, and synchronization of the fractional-order memristor-based hyperchaotic Lu system are investigated numerically by means of bifurcation diagram, Lyapunov exponents (LEs), chaos diagram, and sample entropy (SampEn) algorithm. The results show that the system has rich dynamics and high complexity. Meanwhile, coexisting attractors in the system are observed and hidden dynamics are illustrated by changing the initial conditions. Finally, the network based on the system is built, and the emergence of spiral waves is investigated and chimera states are observed.
Classifying Neuromorphic Datasets with Tempotron and Spike Timing Dependent Plasticity

Although the spike rate of a neuron codes useful information, there is a lot of evidence that information is contained in the precise timing of spikes.Static images have long been used as benchmarks for ANNs. However, in the neuromorphic community novel benchmarks have developed that have both spatial and temporal information. We require capable SNN algorithms that classify temporal datasets.There has been a lot of research in training SNNs. Trained ANNs have been converted to SNNs. SNNs have been trained using variants of backpropagation. However, less research has been done on local learning rules, and biologically plausible methods such as spike timing dependent plasticity (STDP) in training SNNs.In this paper, we present a biologically plausible algorithm that utilizes STDP and tempotron learning rule to classify temporal datasets. We have used DvsGesture to test our algorithm.
Mineralization Potential Assessment of Stream Sediment Geochemical Data Using R-Mode Factor Analysis in Nigeria

Stream sediment geochemical data obtained from seventy stream sediment samples from Rivers Iyinsin and Ofosu were subjected to R-mode factor analysis. The two rivers drain an area underlain by migmatite, granite gneiss, coarse porphyritic biotite and biotite – hornblende granites, fine-grained biotite granite and pegmatite. The stream sediment were analysed for eighteen trace elements after the samples had been sieved using minus 80 mesh size. The results of R-mode factor analysis produced a six-factor model which accounts for 75.47% of the variability of the data. Factor 1(Ce, Fe, Ni, Zn, V) and Factor 4 (U, Mn),which account for 20.599% and 9.707%, respectively, of the variability of the model, are attributable to the scavenging actions of oxides and hydroxides of Fe and Mn on elements with which they are associated. Factor 2 (Rb, Pb, Ba) interpreted as a lithological factor accounts for 18.75 % of the variation. The sources of these elements are probably the felsic rocks underlying the study area. Factor 3 (As, Cu) and Factor 5 (Au, Ag), which account for 11.457% and 8.5 % of the variation, respectively, probably indicate the occurrence of gold and its associated sulphides, either as disseminations or gold bearing quartz –veins in the underlying rocks. While Factor 6 (Co, Ta, Cu) defines the probable occurrence of rare metal pegmatite in the area. In conclusion, there is the possibility of the occurrence of gold mineralization with sulphides in the area. Hydrous Fe and Mn-oxides also pay strong scavenging effect on some of the elements in the sediments.
Estimates of genetic and crossbreeding parameters for milk components and potential yield of dairy products from New Zealand dairy cattle

ABSTRACT Milk composition can vary significantly among individual cows and breeds, and the dairy products that can be made from that milk are limited by available milk components. The objective of this research was to estimate genetic and crossbreeding parameters for lactation yields of milk, fat, protein and lactose, and use these to determine potential yields of dairy products from New Zealand dairy cattle. A mass-balance milk-processing model was used to estimate yields of milk products for 4310 first lactation heifers that produced milk in the 2010–2011 dairy season. Estimates of heritability for yields of whole and skim milk powders were moderate (0.31). Heterosis effects for product yield per lactation was significant only for cheese and butter production (P < 0.05). The use of genetic parameters and correlations for dairy product yield could increase the rate of gain for specific product yields, but have to be evaluated in conjunction with other traits of interest in breeding worth.
CONTROLLED LAGRANGIANS AND ROBUST STABILIZATION OF A NONLINEAR UNDERACTUATED MICROBEAM WITH ROTATING JOINT

Abstract. In this paper the rigid-flexible coupling dynamical model and the nonlinear governing equations of motion of a microbeam attached to a rotating hub as an application of under-actuated systems will be developed. The coupling model is derived employing the strain gradient elasticity theory, taking the geometrically nonlinearities of the microbeam into account. The Rayleigh–Ritz method is used to discretize partial differential equation to obtain a set of nonlinear ordinary differential equations of motion. Then, controlled Lagrangian method as a robust procedure for controller design is employed to achieve an acceptable regulation on the hinge’s angle of rotation of micro-cantilever beam while undesirable vibration of the under-actuated flexible variable is damped. Since the controlled system is Lagrangian by construction, energy methods can be utilized to find control gains that yield closed-loop stability. The advantages of controlled Lagrangian method lie in inference of the stabilization in terms of energy and its capability of handling under-actuated devices. The effect of controller gains on stability and robustness of the controller in presence of structured uncertainties is investigated analytically. Then, the performance of designed control scheme is illustrated through several numerical simulation results and some comparisons are made in various situations.
Content-Based Image Retrieval Using Color Layout Descriptor, Gray-Level Co-Occurrence Matrix and K-Nearest Neighbors

—Content-based image retrieval (CBIR) is the process of retrieving similar images of a query image from a source of images based on the image contents. In this paper, color and texture features are used to represent image contents. Color layout descriptor (CLD) and gray-level co-occurrence matrix (GLCM) are used as color and texture features respectively. CLD and GLCM are efficient for representing images with local dominant regions. For retrieving similar images of a query image, the features of the query image is matched with that of the images of the source. We use cityblock distance for this feature matching purpose. K-nearest images using cityblock distance are the similar images of a query image. Our CBIR approach is scale invariant as CLD is scale invariant. Another set of features, GLCM defines color patterns. It makes the system efficient for retrieving similar images based on spatial relationships between colors. We also measure the efficiency of our approach using k-nearest neighbors algorithm. Performance of our proposed method, in terms of precision and recall, is promising and better, compared to some recent related works.