Miracle-dz/UniFAR-FTUs huggingface dataset:
An Efficient Stock Recommendation Model Based on Big Order Net Inflow

In general, the stock trend is mainly driven by the big order transactions. Believing that the stock rise with a large volume is closely associated with the big order net inflow, we propose an efficient stock recommendation model based on big order net inflow in the paper. In order to compute the big order net inflow of stock, we use the M/G/1 queue system to measure all tick-by-tick transaction data. Based on an indicator of the big order net inflow of stock, we select some stocks with the higher value of the net inflow to constitute the prerecommended stock set for the target investor user. In order to recommend some stocks with which this style is familiar them to the target users, we divide lots of investors into several categories using fuzzy clustering method and we should do our best to choose stocks from the stock set once operated by those investors who are in the same category with the target user. The experiment results show that the recommended stocks have better gains during the several days after the recommended stock day and the proposed model can provide reliable investment guidance for the target investors and let them get more stock returns.
CONVERGENCE OF DIFFERENCE SCORES AND SCALES OF SOCIALLY DESIRABLE RESPONDING: TOWARDS A MULTIDIMENSIONAL APPROACH IN THE ASSESSMENT OF FAKING

n past research results of faking behavior on personality questionnaires are quite inconsistent. The reason of the discrepancies regarding the prevalence and consequences of faking may be the result of lack of clear operationalization of faking behavior. So the present research tested do two faking measures i.e. operalization (difference scores and social desirability scales) tend to yield similar conclusion regarding the Paulhus model of socially desirable responding. Study was conducted on dependent sample of participants in three different motivational conditions: respondents first filled out questionnaires in honest conditions, then had to present themselves like an ideal manager job-applicants (induced egoistic bias) and teacher job applicants (induced moralistic bias). The results showed that two measures of faking yield similar results.
Normoalbuminuric Diabetic Kidney Disease – an often missed entity

INTRODUCTION The incidence of diabetes mellitus (DM) is increasing rapidly worldwide, it is predicted that diabetes will be the seventh leading cause of mortality in the world (Roshan and Stanton, 2013). Diabetic nephropathy (DN) is one of the main complications of DM and is detected in about 40% of Type 1 and Type 2 diabetic patients (Gluhovschi et al, 2016). In most of the countries, diabetes is the leading cause of chronic kidney disease (CKD) that often proceeds to end stage renal disease (ESRD), which requires expensive renal replacement therapy in the form of dialysis or renal transplantation (Gluhovschi et al, 2016; Laranjinha et al, 2016; Fiseha, 2015). Records indicate that as many as 26 million adults in US, 13% and 16% population in China and Australia respectively suffer from CKD (Weiner, 2009). CKD in diabetic patients is linked with substantial morbidity, mortality, and increased health care expenses leading to unavoidable health burden to the patients and their families (Roshan and Stanton, 2013; Weiner, 2009). Hence, CKD is a major public health concern worldwide.
DERIVING THE EXACT COST FUNCTION FOR A TWO-LEVEL INVENTORY SYSTEM WITH INFORMATION SHARING

In this paper we consider a two-level inventory system with one warehouse and one retailer with information exchange. Transportation times are constant and retailer faces independent Poisson demand. The retailer applies continuous review (R,Q)-policy. The supplier starts with m initial batches (of size Q), and places an order to an outside source immediately after the retailer’s inventory position reaches R+s. In this system the lead time of the retailer is determined not only by the constant transportation time but also by the random delay incurred due to the availability of stock at the supplier. A recent paper has obtained the approximate value of the expected cost for this system by using the expected value of the retailer’s lead time and hence has pointed out that the optimal supplier policy is an open question. In this paper we tackle this open question and obtain the exact value of the expected system cost by using the idea of the one-for-one ordering policy and implicitly incorporating the distribution function of the random delay.
Micro watershed to basin scale impacts of widespread adoption of watershed management interventions in Blue Nile Basin

High population pressure, inappropriate agricultural policies, improper land-use planning, over-dependency on agriculture as source of livelihood and extreme dependence on natural resources are inducing deforestation, overgrazing, expansion of agriculture to marginal lands and steep slopes, declining agricultural productivity and resource-use conflicts in many parts of Blue Nile. Increased land degradation from poor agricultural practices and erosion results in increased siltation and the reduced water quality in the river basin. The rainfall, runoff and sediment are highly variable both in time and space. Poor water and land management upstream severely affect runoff characteristics and the quality of water reaching downstream. The result is a downward spiral of poverty and food insecurity for millions of people both within the upper catchment and downstream across international borders. Quantification of the erosion, sedimentation processes and evaluation of impacts of interventions are difficult tasks. This paper schematizes the Blue Nile Basin (BNB) at various spatial levels as micro watershed, watershed, sub-basin to basin. It is revealed that sediment in the river systems are temporally varying phenomenon and strongly related to the early onset of rainfall. The hydrographs of the systems shows that the peak of sediment reaches first followed by peak of rainfall and then runoff. Furthermore, the sediment cumulative curve shows that most of the sediment volume passes in the river in the first three months of the rainy season. The paper also considers a particular watershed to model runoff, sediment and impact of watershed intervention. The result shows that runoff can be reasonably simulated with calibration of R2=0.87 and validation of result of 0.82, and comparable sediment modelling results. The study also demonstrates, by undertaking spatial analysis using topographic, soil and land use parameters it is possible to identify the high sediment risk sub-watersheds. Impact of typical watershed intervention using various widths of vegetative filter and application on high erosion risk watersheds shows reduction of sediment yield from 52% to 74%.
Virtual Power Based Algorithm for Decoupling Large Motions from Infinitesimal Strains: Application to Shoulder Joint Biomechanics

New trends of numerical models of human joints require more and more computation of both large amplitude joint motions and fine bone stress distribution. Together, these problems are difficult to solve and very CPU time consuming. The goal of this study is to develop a new method to diminish the calculation time for this kind of problems which include calculation of large amplitude motions and infinitesimal strains. Based on the Principle of Virtual Power, the present method decouples the problem into two parts. First, rigid body motion is calculated. The bone micro-deformations are then calculated in a second part by using the results of rigid body motions as boundary conditions. A finite element model of the shoulder was used to test this decoupling technique. The model was designed to determine the influence of humeral head shape on stress distribution in the scapula for different physiological motions of the joint. Two versions of the model were developed: a first version completely deformable and a second version based on the developed decoupling method. It was shown that biomechanical variables, as mean pressure and von Mises stress, calculated with the two versions were sensibly the same. On the other hand, CPU time needed for calculating with the new decoupled technique was more than 6 times less than with the completely deformable model.
Field-Effect Phototransistors Based on Graphene-Quantum Dot Hybrids

Field effect photo-transistors (FEpTs) based on graphene-PbSe quantum dot (QD) hybrids have been designed and fabricated. By electrical and photoelectrical measurements, the carrier mobilities reached to 1621 cm 2 V -1 s -1 for electrons and 1228 cm 2 V -1 s -1 for holes, the photoresponsivity (R) achieved to 1 AW -1 , and the photoresponse time (τ 1 ) was 0.7 s when the photocurrent came to about 80%. Therefore, the FEpTs based on graphene-QD hybrids have shown broad application prospects.
Robust Extraction of Arbitrary-Shaped Features in Ceiling for Upward-Looking Camera-Based SLAM

Abstract This paper proposes a novel scheme of extracting the features in the ceiling using an upward-looking camera for SLAM in indoor environments. The conventional approaches based on corner or line features have difficulties in associating adjacent indistinguishable features since their descriptors do not have enough information to distinguish them. Therefore, we used various properties of the objects in the ceiling, such as the distribution of nodes, and size and orientation strength of the region of interest. Also, the similarities among adjacent features are calculated to distinguish between unique and non-unique features. The non-unique features are discarded before they are registered to the feature map. The robustness of the proposed scheme is verified by several experiments using a mobile robot. The extended Kalman filter is used to estimate both robot pose and feature position and orientation, and the experimental results show that the proposed scheme successfully works in various indoor environments.
Cranial morphology of the Plio-Pleistocene giant madtsoiid snake Wonambi naracoortensis

New material and additional morphological details of a rare and phylogenetically significant large fossil snake, Wonambi naracoortensis Smith, 1976, are described from Pleistocene and Pliocene cave deposits in southern South Australia. The new data refute some previous interpretations of the morphology of this species, and have implications for the phylogenetic position of Wonambi relative to extant snakes and other fossils, including other Madtsoiidae. The nature of contacts among palatal, braincase, snout, and mandibular elements imply similar functional attributes to those of extant anilioid snakes: maxillae from multiple individuals show corrugated contact surfaces for the prefrontal, implying a tight suture; structures on the anterior and medial surfaces of the palatine choanal process are interpreted as forming extensive contacts with the vomer and parasphenoid; and the distinctly bounded facets on the basipterygoid processes and pterygoid imply little or no capacity for anteroposterior sliding of the palatopterygoid arch, hence absence of the macrostomatan 'pterygoid walk'. On the frontal, interolfactory pillars were either absent or very slender, and a deep, sculptured contact surface for the nasal implies a prokinetic joint was also absent. Margins of the frontal and parietal indicate broad entry of the sphenoid into the ophthalmic fenestra, as in Dinilysia. Similarity of elements and features of the braincase (trigeminal foramen, ear region, and basipterygoid processes) with both lizards and extant snakes show that differences between snakes and other squamates have sometimes been overstated. The case for macrostomatan affinities of Wonambi is not supported by new evidence.
Low Complexity Feature Point Detection and Tracking using CUDA

High speed feature point detection and tracking is very demanding for many realtime computer vision applications. In existing work, the commonly used feature point detection algorithms like Harris and KLT (Kanade-Lucas-Tomasi) and feature tracking algorithm (Pyramidal-KLT) were redesigned to increase the performance by reducing the algorithmic complexity, resulting in the Low Complexity Corner detector (LOCOCO) and Robust Low Complexity Feature tracking (RLCT) algorithms. To attain further speedup, this report proposes the implementation of these low complexity detection and tracking algorithms on a massively parallel architecture of the modern graphics processing units (GPUs) using Compute Unified Device Architecture (CUDA). In the computing domain, due to semiconductor scaling limits and associated power and thermal challenges, combined with the difficulty of exploiting greater levels of instruction level parallelism, a paradigm shift is happening from a single core to many-core processors and massively multi-processing platforms. High performance is now available on single-chip commodity GPUs. Moreover, GPUs are no longer limited to graphics applications, but are emerging as usable general purpose computing devices. Advancement in such platforms, are making many computational intensive problems that were solvable only on supercomputing systems, to be computed on desktop systems, at a reduced price, and lower power requirements. The arrival of this new generation of low-cost high performance computing platforms presents both numerous opportunities and challenges. In this report, we present the use of such high performance many-core GPU platforms to obtain speedup by mapping general purpose computations to massively parallel architectures. It is observed, when properly executed, GPU adaptation of algorithms can result in significant savings in computation times. For an image size of 960x960 pixels, the low complexity corner detector and robust low complexity feature tracking algorithms are factor of 16 and 25 times faster on a GeForce 280 GTX GPU than the corresponding implementation on an Intel Core 2 Duo, 2.66 GHz, and 2GB RAM CPU.
Does anticipation of government spending matter? The role of (non-)defense spending

We investigate the effects of government expenditure on private consumption when the private sector anticipates the fiscal shocks. In order to capture anticipation of fiscal policy, we develop a new method based on a structural vector autoregression (SVAR). By simulating data from a theoretical model featuring (imperfect) fiscal foresight, we demonstrate the ability of our new approach to correctly capture macroeconomic dynamics. We take advantage of the flexibility of our econometric approach and study those subcomponents of total government spending, which have different macroeconomic effects according to economic theory. Using post-WWII US data, we find that when taking into account anticipation, private consumption significantly decreases in response to a defense expenditure shock, whereas when considering shocks to non-defense spending, consumption increases significantly. A standard SVAR does not produce clear consumption responses, highlighting the importance of anticipation. Our results thus reconcile the different findings of the narrative and SVAR approaches to the study of fiscal policy effects.
The influences of authenticity and experience quality on behavioural intention in cultural heritage destination

Cultural heritage tourism is essentially comprised of cultural tourism and heritage tourism. Authenticity of the attractions is unquestionably the most critical success factor for this niche tourism. While authenticity of the “built heritage” has been extensively studied, the authenticity of the presentation of the “local culture” seems to be ignored by past researchers. The main purpose of this study is to investigate the influence of heritage authenticity, and cultural authenticity on behavioural intention in the context of cultural heritage tourism destination. This study also anticipates that the above relationships are mediated by the quality of experiences. This study involving 500 foreign tourists visiting the Malaysia’s first World Heritage City, Malacca City used questionnaire survey as the data collection method. The results show that only heritage authenticity is positively related to behavioural intention while cultural authenticity affects behavioural intention via experience quality. Heritage authenticity also shows insignificant relationship with experience quality.
A low-power and high-quality implementation of the discrete cosine transformation

In this paper a computationally efficient and high-quality preserving DCT architecture is presented. It is obtained by optimizing the Loeffler DCT based on the Cordic algorithm. The computational complexity is reduced from 11 multiply and 29 add operations (Loeffler DCT) to 38 add and 16 shift operations (which is similar to the complexity of the binDCT). The experimental results show that the proposed DCT algorithm not only reduces the computational complexity significantly, but also retains the good transformation quality of the Loeffler DCT. Therefore, the proposed Cordic based Loeffler DCT is especially suited for low-power and high-quality CODECs in battery-based systems.
Adolescent pregnancy and local co-planning: a diagnostic approach based on the PRECEDE-PROCEED model

Background: The article outlines the first phase of a community-based participatory research to reduce adolescent pregnancy. This approach aims to address the complexity of the phenomenon and the specific characteristics of the local settings. Objectives: To apply the PRECEDE-PROCEED model to make a social and epidemiological diagnosis of adolescent pregnancy in a city of the State of Rio de Janeiro (RJ), with a view to contributing to interventions for its reduction. Methodology: Quantitative and qualitative methodologies were used (descriptive analysis of epidemiological data, participant observation, talking-map, and conversation circles) in a medium-sized city of RJ (2014-2015). Results: The diagnosis highlighted the association between early adolescent pregnancy and key social and healthcare vulnerabilities in this population segment. The model enabled the mapping of this scenario and the increasing engagement of local partners to address this issue, as well as the listing of priorities and commitments from an emancipatory and interdisciplinary perspective. Conclusion: This study will contribute to the development of new interventions to engage adolescents and other stakeholders in the design of approaches to co-management, education, service, and community.
Local random quantum circuits are approximate polynomial-designs: numerical results

We numerically investigate the statement that local random quantum circuits acting on n qubits composed of polynomially many nearest-neighbor two-qubit gates form an approximate unitary poly(n)-design (Brandão et al 2012 arXiv:1208.0692). Using a group theory formalism, spectral gaps that give a ratio of convergence to a given t-design are evaluated for a different number of qubits n (up to 20) and degrees t (t = 2, 3, 4 and 5), improving previously known results for n = 2 in the case of t = 2 and 3. Their values lead to the conclusion that the previously used lower bound that bounds spectral gaps values may give very little information about the real situation and in most cases, only tells us that a gap is closed. We compare our results to another lower bounding technique, again showing that its results may not be tight.
The Influence of Titanium Hydride Pretreatment on the Compressive Properties of Aluminum Foam

Macrostructure has an important effect on the compressive properties of closed-cell aluminum foams. Meanwhile, the decomposition behavior of a foaming agent has a significant influence on the macrostructure of closed-cell aluminum foams. In order to get optimal compressive properties on aluminum foams, it is important to obtain the optimal decomposition behavior of a foaming agent. In this paper, different heat treatment temperatures and fixed heat treatment were employed to investigate the decomposition behavior of titanium hydride. For a more intuitive understanding of their decomposition characteristics of the pretreated titanium hydrides, closed-cell commercially pure Al foams were prepared by melt foaming method using different types of pretreated titanium hydrides as foaming agent. In addition, the macrostructures and quasi-static compressive properties were used to evaluate the pretreatment effect. The results showed that pretreatments have a significant influence on the macrostructure and compressive properties of aluminum foams. The decomposition characteristics of titanium hydride pretreated at 753 K for 30 min are most suitable for the preparation of closed-cell aluminum foams under present conditions, as the foams possess good combination of pore size distribution, yield strength and energy absorption capacity. DOI: http://dx.doi. org/10.5755/j01.ms.20.4. 6082
Lipid Nanotubes as a Model for Highly Curved Cellular Membrane Structures

Cells and their organelles show a variety of membrane morphologies with multiple submicrometer features, for example, tubules, vesicles, folds and pores. The shape of the cellular membranes can dynamically change to support a variety of functions, such as cargo transport, transmission of signals between the cells, cell movement and division. A convenient route to understanding the complexity of cellular membranes is to study artificially created lipid bilayer membrane systems. The work presented in this thesis is focused on highly curved membrane structures in the form of lipid bilayer nanotubes. Firstly, the shape transformation mechanism for free floating lipid nanotubes was investigated. Driven by their high curvature energy, nanotubes contract in length and eventually transform into tubular stomatocyte-like structures. Secondly, diffusion, electric field and Marangoni-flow-driven modes of transport through lipid nanotubes are described. Then, an important improvement in the characterization of lipid nanotubes was achieved by developing a new technique for the measurement of lipid nanotube radii. This technique is based on monitoring the translocation of a photobleached tube region between two nanotube-connected vesicles during the growth of a receiving/daughter vesicle. The validity of this measurement technique was confirmed using super resolution microscopy. In addition, our technique has proven useful for tracking membrane bending rigidity changes in response to environmental and compositional alterations, both in cell plasma membranes and in model vesicle systems. Finally, a microfluidic pipette with a self-confining volume at the tip was presented. It allows for selectively affecting a chosen cell and accessing membranes on the single cell level.
Gender Diverse Portfolios as New Asset Class

Using the top 1000 US firms from 2002 to 2015 as a tradable stock universe, we replicate and backtest five market-traded gender-diverse portfolios. We find evidence that gender-diverse firms have smaller volatility. Moreover, the gender-risk relationship is non-linear, with optimal female board ratio at 24% or 2-3 female directors. This significant non-linear gender-risk reduction effect is found in 8 out of 10 industries. We find that a gender-diverse board strongly reduces diversity and governance concerns. Moreover, we establish strong evidence that the gender-risk reduction effect is channeled through positive CSR (Corporate Social Responsibility) performance.
Modelling and diagnostics of hypervelocity dust particles in a tokamak

Dust is produced in tokamaks by energetic plasma-surface interactions. It is expected that during the plasma discharge most of the dust particles concentrate in the low density and low temperature region between the last closed magnetic surface (LCMS) and the vessel wall where a mixture of neutral gas, multi-species tenuous plasma and micro particulate of various composition is present. To improve diagnostic techniques and gain an understanding of dust behaviour it is useful to isolate dominant effects and use simplified constraints to analyse the motion of a test particle in given force fields and interaction with boundary and plasma facing components (PFC).