Miracle-dz/UniFAR-FTUs huggingface dataset:
Crystal-Plane Dependence of Nb-Doped Rutile TiO2 Single Crystals on Photoelectrochemical Water Splitting

The crystal-plane dependence of the photoelectrochemical (PEC) water-splitting property of rutile-structured Nb-doped TiO2 (TiO2:Nb) single-crystal substrates was investigated. Among the crystal planes, the (001) plane was a very promising surface for attaining good photocurrent. Under 1 sun illumination at 1.5 V vs. a reversible hydrogen electrode, the TiO2:Nb(001) single-crystal substrate showed the highest photocurrent (0.47 mA/cm2) among the investigated substrates. The doped Nb ions were segregated inward from the top surface, and the TiO2 ultrathin layer was formed at the surface of the crystal, resulting in the formation of a heterointerface between the TiO2 and the TiO2:Nb. The enhancement of the PEC properties of the TiO2:Nb(001) single-crystal substrate originated from favorable atomic configurations for water molecule absorption and facilitation of transport of photoexcited electron–hole pairs in the depletion layer formed around the heterointerface of TiO2 thin layers on the base crystal.
Multilayer Perceptron on data assimilation applied to FSU global model

Numerical weather prediction (NWP) uses atmospheric general circulation models (AGCMs) to predict weather based on current weather conditions. The atmosphere could not be completely described due to inherent uncertainty. These uncertainties limit forecast model accuracy to about five or six days into the future. The process of entering observation data into mathematical model to generate the accurate initial conditions is called data assimilation (DA). This paper shows the results of a DA technique using artificial neural networks (NN) applied to an AGCM used in Florida State University (FSU) in USA. The Local Ensemble Transform Kalman filter (LETKF), a version of Kalman filter with ensembles to represent the model uncertainties, is a traditional DA scheme. We use Multilayer Perceptron data assimilation (MLP-DA) with supervised training algorithm where NN receives input vectors with their corresponding response from LETKF initial conditions. These DA schemes are applied to FSU Global Spectral Model (FSUGSM), a multilevel spectral primitive equation model at resolution T63L27. This data assimilation experiment is based in synthetic observations: surface pressure and upper-air temperature. We use a NN self-configuration method to find the optimal NN parameters to configure the MLP-DA with: four input vector nodes and one output node for the analysis vector. The NNs were trained with data from each month of 2001, 2002, and 2003. The MLP-DA cycle is performed for January 2004. The numerical results demonstrate the effectiveness of the MLP-DA technique for atmospheric data assimilation, since the initial conditions have similar quality to LETKF. The reduced computational cost allows the inclusion of greater number of observations and new data sources and the use of high resolution of models.
PROTOTYPE OF ULTRA-LIGHT PLANETARY MANIPULATOR – DESIGN , TESTS AND SIMULATIONS

Planetary Manipulators are used quite often in space exploration and in situ measurement. Since it is planned to intensify space exploration (Mars and Moon are the mostly foreseen), its role should also expand [1, 7]. Presented in this paper is a newly developed 3dof Ultra-Light Planetary Manipulator (ULPM). Its main role is extended service for exploration tools and scientific instruments. The essence of the concept is taken from the MUPUS instrument manipulator for the Rosetta mission. In this attempt, it is successfully demonstrated that the previous concept was valuable and it could be a reference for a new, improved technology solutions. As result, an entirely new ULMP laboratory model was developed. The design is focused on the following constraints: low mass of the unit with possibly long extension range. The integrated device was intensively tested in laboratory conditions. The tests confirmed its operational functionality and overall performance. Particularly, it was ascertained that this very lightweight and flexible construction can safely operate with certain loads. The design of the UltraLight Planetary Manipulator was supported by appropriate analysis and dynamic simulations.
Introduction to the theory of elliptic algebras

The purpose of this course is to make an informal and nontechnical introduction to the theory of elliptic algebras. These algebras are associative N-graded algebras presented by n generators and n(n− 1)/2 quadratic relations and satisfying the so-called Poincare-Birkhoff-Witt condition (PBW-algebras). We will consider examples of such algebras depending on two continuous parameters (namely, on an elliptic curve and a point on this curve) which are flat deformations of the polynomial ring in n variables. Diverse properties of these algebras will be described, together with their relations to integrable systems, deformation quantization, moduli spaces and other directions of modern investigations.
ING IT’S INFLUENCE ON ORGANIZATIONAL ROUTINES

Within the last 10 years richer 3-dimensional graphics have increasingly immersed users in virtual environments (VEs). Recently, immersion in VEs is also facilitated by cheaper and better head mounted displays. Immersion benefits individuals as well as organizations because it makes users feel as if they are physically present in the VE. This can reduce costs in industries heavily reliant on visualization, such as the architect, engineering, and construction industry. However, more immersive software and hardware does not necessarily lead to increased use in organizations, exemplified by the lack of organizations using virtual worlds and 3-dimensional computer aided software. While many IS scholars have focused on immersive VEs, the majority have looked into individual factors and applied methods, that are far from practice. Our research introduces theoretical lens of organizational routines and through initial interviews in four organizations, we investigate how the introduction of immersive VEs change organizational routines. We present four vignettes and propose a categorization enabling a better understanding of how artefact specificity and routine divergence influence the use of immersive VEs.
NO . 208 Households ’ Indebtedness and Financial Fragility

The paper studies the determinants of international differences in household indebtedness, and inquires whether indebtedness is associated with increased “financial fragility”, as measured by the sensitivity of household arrears and insolvencies to macroeconomic shocks. It also investigates whether financial fragility is affected by institutional factors, such as information sharing arrangements, judicial efficiency and individual bankruptcy regulation. We address these issues by tapping three data sets: (i) cross-country data on household indebtedness; (ii) European panel data for households lending and arrears; and (iii) time series data for household lending and insolvencies in the U.K., the U.S.A. and Germany. Overall, the analysis underscores the importance of institutional arrangements in determining the size and fragility of household credit markets. JEL classification: D14, G21, G28, G33.
1 THE AUSTRALIAN NATIONAL THUNDERSTORM FORECAST GUIDANCE SYSTEM : CURRENT DESIGN , VERIFICATION AND FUTURE PLANS

The prediction of the likelihood and severity of thunderstorms in Australia involves the examination of observations and numerical model predictions with the aim of identifying the basic convective ingredients – buoyancy (moisture and instability), lift and shear (Johns and Doswell 1992). With tight time constraints imposed on the operational delivery of day 1 and day 2 thunderstorm forecasts, it has long been desirable to employ a supporting system that skillfully suggests where to focus the human effort in the thunderstorm forecast process. The production of thunderstorm forecasts (or outlooks) in Australia is the responsibility of the seven individual forecast offices (Fig. 1). Individual staff in these offices can have relatively limited exposure to thunderstorm forecasting, in contrast to staff in the Storm Prediction Center in the U.S. which has national responsibilities in a convectively very active region of the planet. A system that would alert a forecaster to potential thunderstorm threats that are easy to miss is therefore beneficial.
Determining Reorder Point in the Presence of Stochastic Lead Time and Box-Jenkins Time Series Demand

This paper discusses the determination of reorder point and safety stock when the period demands are not independent, but exhibits a serially correlated demand process which can be represented as an autoregressive-moving average – ARMA (p.d.q)-model for both deterministic and discrete stochastic lead time. An Excel based methodology for finding the reorder point and the safety stock level is also presented at the end of the paper.
Epidemiology and Outcome of Exit Site Infection Catheter Related Among Patients from a Brazilian Haemodialysis Unit

Patients undergoing haemodialysis (HD) are at high risk for healthcare-associated infections. There are scarce data on epidemiology of exit site infection (ESI) related to tunneled central venous catheter (CVC) and the most studies focused only on bloodstream infections (BSI) and were performed in developed countries. Our study aimed to provide a wide overview of ESI epidemiology in a Brazilian HD unit. We presented data from prospective surveillance carried out from March 2010 through March 2015. The overall incidence of ESI was 3.50 per 1,000 catheters-days. Risk factors for ESI were presence of diabetes and tunneled CVC implanted in femoral site (RR=1.56, 95% CI=1.35-1.89 and RR=1.62, 95% CI=1.22-1.94, p<0.05, respectively). The most frequent agents of ESI were Gram-negative (69%), mainly Serratia marcences, E coli, Proteus mirabillis, Pseudomonas aeruginosa and Klebsiela ESBL. Across the time periods, there was change in etiologic agents: Pseudomonas and ESBL agents became more frequent, while Proteus and E. coli became less frequent (p<0.05). Among Grampositive agents, 59% were resistant to methicillin. On the other hand, Gram-negative bacilli were not often multidrug-resistant. Catheter was removed in 17% due to unsuccessful treatment of ESI and it was associated with Pseudomonas (p=0.04) and BSI caused by the same agent of ESI (p=0.03). Catheter survival was shorter in ESI group (log rank=2.92, p<0.001). As conclusion, ESI rate was high on HD patients, and diabetes and femoral site of CVC were identified as risk factors for it. Catheter survival was shorter in patients who had ESI and catheter removal was associated with Pseudomonas agent and ESI plus BSI. Although Gram negative agents were more frequent, most of them were not resistant to quinolone, aminoglycoside and third generation cephalosporin. Our data suggest the routine application of topical antibiotic ointments to prevent ESI related to CVC caused by Gram negative agents.
Orthopaedic Knowledge Update: Sports Medicine 4

This completely new 3rd edition is the best place to start when you need to research the most effective techniques for sports injuries and conditions or pinpoint an elusive diagnosis. There isn't a more concentrated source of dependable sports medicine information available anywhere. Developed by the American Orthopaedic Society for Sports Medicine and published by AAOS, this edition is particularly relevant for orthopaedic generalists and residents who want to expand their sports medicine foundation. OKU: Sports Medicine 3 review the most important developments and proven surgical and non-surgical interventions from 1999 to 2003
CPSC 490 Final Report : Counting Regular Languages

We explore the notion of similarity between regular languages: it may be the case that two regular expressions are radically different yet recognize very similar languages. With this in mind, one may ask how to rigorously define and quickly compute notions of distance between regular languages. A good answer allows us to then attack the problem of approximating two regular expressions: can one quickly compute smaller regular expressions from larger ones that still recognize similar languages? In this report we focus on the problem of counting the size of a regular language. Such an approach allows us to then rapidly compute a distance metric introduced in previous work whose naive implementation would otherwise be computationally expensive. Specifically, we want to compute the number of strings of a certain length from a given regular expression. We introduce different notions of distinguishability criteria to classify regular expression forms, and prove combinatorial bounds for regular expressions that satisfy such criteria. We first prove an equality for regular expressions in which the letters with kleene star are distinct. We then propose two distinguishability criteria and prove that for regular expressions that satisfy the two distinguishability criteria, the number of strings of a given length satisfy an upper bound. Furthermore, we present algorithms that reduce sufficiently nice regular expressions to ones with form that satisfy these distinguishability criteria. lastly, we propose two more distinguishability criteria and prove that for regular expressions that satisfy the first two criteria and either of the last two criteria, the upper bound becomes tight. We also provide code samples for generating strings of a regular language.
L G ] 2 4 A ug 2 01 9 Demystifying the MLPerf Benchmark Suite

MLPerf, an emerging machine learning benchmark suite strives to cover a broad range of applications of machine learning. We present a study on its characteristics and how the MLPerf benchmarks differ from some of the previous deep learning benchmarks like DAWNBench and DeepBench. We find that application benchmarks such as MLPerf (although rich in kernels) exhibit different features compared to kernel benchmarks such as DeepBench. MLPerf benchmark suite contains a diverse set of models which allows unveiling various bottlenecks in the system. Based on our findings, dedicated low latency interconnect between GPUs in multi-GPU systems is required for optimal distributed deep learning training. We also observe variation in scaling efficiency across the MLPerf models. The variation exhibited by the different models highlight the importance of smart scheduling strategies for multi-GPU training. Another observation is that CPU utilization increases with increase in number of GPUs used for training. Corroborating prior work we also observe and quantify improvements possible by compiler optimizations, mixed-precision training and use of Tensor Cores.
Stochastic Variance-Reduced Cubic Regularization Methods

We propose a stochastic variance-reduced cubic regularized Newton method (SVRC) for non-convex optimization. At the core of SVRC is a novel semi-stochastic gradient along with a semi-stochastic Hessian, which are specifically designed for cubic regularization method. For a nonconvex function with n component functions, we show that our algorithm is guaranteed to converge to an ( , √ )-approximate local minimum within Õ(n/ ) second-order oracle calls, which outperforms the state-of-the-art cubic regularization algorithms including subsampled cubic regularization. To further reduce the sample complexity of Hessian matrix computation in cubic regularization based methods, we also propose a sample efficient stochastic variance-reduced cubic regularization (Lite-SVRC) algorithm for finding the local minimum more efficiently. Lite-SVRC converges to an ( , √ )-approximate local minimum within Õ(n + n/ ) Hessian sample complexity, which is faster than all existing cubic regularization based methods. Numerical experiments with different nonconvex optimization problems conducted on real datasets validate our theoretical results for both SVRC and Lite-SVRC.
Portfolio Optimization Using Ant Colony Method a Case Study on Tehran Stock Exchange

Portfolio Optimization and selection of the efficient frontier from MeanVariance Markowitz(1952) model is easily accessible in the conditions with no constraints.However, it cannot be used to fulfil the investors’ needs based on having different constrains such as number of the assets in a portfolio. Since the Markowitz model is not the answer to these investors, there should be other methods to provide the optimal risk and return combination. Therefore, Meta-Heuristic methods have become a highly active area of research in this field. This paper tries to construct portfolios rooted in constrains regarding the number of assets involved in a portfolio having the inspiration of Ant Colony Algorithm; moreover, the study is targeted to find the best efficient frontier for the proposed algorithm. Next, sharp ratio has been employed as the fitness function of the portfolio which tries to optimize portfolio selection by optimizing the sharp ratio. In addition, an efficient frontier for ant colony algorithm has been set and demonstrated that the algorithm functions more efficiently when we confine the number of assets to a precise number.
TO HORMONE REGULATION 1 A Guide to Regulating Hormone Function Utilizing Traditional Chinese Medicine : A Comprehensive Literature Review

The purpose of the current retrospective literature synthesis was to investigate whether Traditional Chinese Medicine provides an effective alternative to Western Medicine in attenuating the physiological disturbances and disease progression and the accompanying hormonal variation of estrogen, testosterone, progesterone, oxytocin, cortisol, follicle stimulating hormone (FSH), and luteinizing hormone (LH) commonly associated with aging and the decline of reproductive capacity. For the purpose of the present research, electroacupuncture (EA) was identified as the specific component of TCM to be investigated. The seven hormones listed above were chosen based upon their relevance to fertility, reproduction, and the endocrine system in general. Upon comprehensive review of the relevant literature and scientific data, the investigator concludes that EA asserts a significant modulatory effect of varied strength on the hormones examined under the present investigation, as well as on underlying processes of disease and dysregulation. Accordingly, the hypothesis of the present investigation was deemed to be correct. Further, this investigation serves to inform future research on the meaningful impact of EA on neuroendocrine pathways and associated substances and hormones. A TCM GUIDE TO HORMONE REGULATION 5
A logarithmic rapid desensitization protocol: initial experience in carboplatin hypersensitivity reactions

Aim: Hypersensitivity reactions to carboplatin are not an infrequent adverse event in ovarian cancer patients. However, reintroduction of platinum-containing schedules is the standard of care in platinum-sensitive recurrent ovarian cancer. Rapid desensitization is a procedure for gradual reintroduction of drug. It allows a safe administration of medications that are beneficial for the management of patients after certain types of hypersensitivity reactions. It is indicated in cases in which there are no reasonable therapeutic alternatives. Methods: We performed a descriptive retrospective study of high-grade ovarian cancer patients with known carboplatin hypersensitivity reactions that were treated with a 13-steps rapid desensitization protocol with 3 different solutions and infusion rates. The procedure followed a mathematic model (gradual increases with a relationship between doses following a geometric series) which is called logarithmic rapid desensitization protocol (LRDP). The aim was to describe the safety of the LRDP in terms of number and severity of infusion reactions and the effectiveness in the rate of cycles completely administered. Results: Four different patients diagnosed with recurrent platinum-sensitive ovarian cancer with a previous infusion reaction were included. LRDP was administered in 19 different cycles. LRDP was administered safety in all 19 cycles, only 2 patients had a mild cutaneous reaction in 4 different cycles during LRDP (21.05%). The foreseen dose of carboplatin was fully administered in all cycles. Page 2 of 8 Burches et al . J Cancer Metastasis Treat 2019;5:63 I http://dx.doi. org/10.20517/2394-4722.2019. 012 Conclusion: LRDP with carboplatin is a feasible and safe protocol in patients with previous infusion reaction to carboplatin. The protocol might allow a safe administration of drugs, that are beneficial for the management of patients, after certain types of hypersensitivity reactions, and it is indicated in cases in which there are no reasonable therapeutic alternatives.
A generalization becomes suppressed over time in the context of exceptions

There has been a great deal of interest in how generalizations and exceptions are learned, with particular interest in how speakers learn to avoid overgeneralizations. Do overgeneralizations disappear only because exceptions become more strongly represented or does the generalization itself become suppressed? Novel labels were constructed by combining 56 syllables with one of two prefixes, and each label was assigned a unique image. Most labels with the first prefix were paired with images from a generalization category, whereas exceptional labels were paired with images from a different semantic category. All labels with the second prefix appeared with a third category (“baseline”). Participants used a computer mouse to choose one of two images for each label. Mouse-tracking results show that the generalization itself became suppressed over time in the context of exceptional labels. A post-test demonstrated that exceptions were learned with item-specific precision.
scFEMod – The New Preprocessor for Efficient Assembly and Model Validation

This paper presents a new preprocessor for the assembly of independently meshed car body parts. The assembly process gains more and more importance in the preprocessing of crash-worthiness simulations. It is desirable to take simulation results into consideration for construction decisions already in the early phase of the car development process. At this stage, CAD data unfortunately does not contain any information about constraints like spotwelds or adhesive bondings between substructures. This lack of data has to be resolved by the simulation engineer. We provide an adequate preprocessing tool for this purpose, called scFEMod. scFEMod supports the simulation engineer in effectively defining missing constraints such as point, surface, edge, or line links. All of these can be specified interactively with the mouse pointer. Hierarchical data structures guarantee quick and automatic flange detection so that the assembly process is significantly accelerated. Furthermore, scFEMod can be used to replace separately meshed car body parts by variants which then need to be adapted to the adjacent mesh structure. Subsequently, initial perforations and penetrations can be detected, visualized, and selectively removed. Sensor points can be positioned and oriented in order to compare simulation results with those of physical crash tests. scFEMod allows to distribute non-structural masses over all car body parts they are connected to. Finally, the proper assembly of the whole car body model can be validated.
1/f-Fluctuated Illumination to Deliver Implicit Emotional Message

It is hard to convey emotional messages, or atmosphere of conversation to the opponent people who are located in a difference place. For Email messages, face mark symbols are often used to express emotion, which works well as an explicit approach. Even though, the opponent face is shown on the screen, emotional expression over the network is not similar to face-toface meeting, where atmosphere of the conversation is shared in an implicit manner as opposed to the explicit approach using words, sign, or pictures. This research proposes an idea of implicit representation of emotional messages using light illumination with 1/f-fluctuation.