Miracle-dz/UniFAR-FTUs huggingface dataset:
Inexact nested Newton-ADI method to solve large-scale algebraic Riccati equations

with C ∈ Rp×n, A ∈ Rn×n, X = X ∈ Rn×n, B ∈ Rn×r, p + r n, by combing existing approaches. These quadratic matrix equations have to be solved, e.g., in optimal control problems to apply a linear quadratic regulator (LQR) approach [6, 7]. Our aim is an iterative solver for (1) based on the Newton-ADI method. Recent ADI improvements in [2, 3, 4] in combination with the inexact Kleinman-Newton approach in [5] and the line search method in [1] are the key ingredients to our novel approach that can handle large-scale problems efficiently. We show theoretical as well as numerical results that illustrate the usability of the novel approach as well as its advantages. The open problem of controlling the accuracy of the solver for the shifted linear systems appearing in each ADI step will also be addressed shortly.
Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration

: We consider human-robot collaboration in sequential tasks with known task objectives. For interaction planning in this setting, the utility of models for decision-making under uncertainty has been demonstrated across domains. However, in practice, specifying the model parameters remains challenging, requiring signiﬁcant effort from the robot developer. To alleviate this challenge, we present A DA C O RL, a framework to specify decision-making models and generate robot behavior for interaction. Central to our approach are a factored task model and a semi-supervised algorithm to learn models of human behavior. We demonstrate that our speciﬁcation approach, despite signiﬁcantly fewer labels, generates models (and policies) that perform equally well or better than models learned with supervised data. By leveraging pre-computed performance bounds and an online planner, A DA C O RL can generate robot behavior for collaborative tasks with large state spaces ( > 1 million states) and short planning times ( < 0 . 5 s).
PLANT SPECIES CLASSIFCATION USING BOF

Automated plant species identification system could help botanists and layman for identifying plant species expeditiously. In this research, a BoF(Bag of Features) approach similar to that of deep learning is used to extract the features of the leaves and classify them hastily. 16 species are there in the dataset and in each species there are 30 images, so a total of 16 X 30, 480 images are in total. The leaf images are given as input and they undergoes different filtering techniques and segmentation, after that the image is fed into Bag of Features for feature extraction and classification. In olden days the shape, colour and the leaf vein morphometrics are used for feature extraction. Here the texture features of the leaves are used for extraction and classification. In addition to this, in this research the GLCM feature extraction method and Naive Bayes classification method is also used for comparing the result of Bag of Features approach. Using GLCM and Nave Bayes, get an accuracy of 89% in which in BoF 96% accuracy is obtained. From the research, we can conclude that the BoF can be an effective automated system for plant species identification. Keywords—BoF, GLCM, Naïve Bayes, Thresholding, Filtering, Segmentation.
PROSPECTIVE AND RETROSPECTIVE STUDY OF DIABETES AND ITS COMPLICATIONS

Diabetes is the most common cause of chronic kidney disease (CKD) and end-stage renal disease (ESRD) in most parts of the world. 20 to 30% of diabetic patient have diabetic nephropathy in type 1 and type 2. Hyperglycemia is the key of nephropathy creation. Hyperglycemia also by production of toxic materials, advanced glycosylated end product (AGE), increased activity of aldose reductase has some role. Some metabolites of arachidonic acid, hemodynamic derangements and genetic factors have also some role. Although diabetic nephropathy is most common cause of nephropathy in these patients, but diabetic patients are also prone to other urinary tract and renal parenchymal disease and should not be confused with renal failure due to diabetic nephropathy. The principle of treatment of diabetic nephropathy is based on tight control of hyperglycemia, tight control of blood pressure and glomerular pressure, control of dyslipidemia, restriction of protein intake and smoking withdrawal.
THE AFFILIATION EFFECT IN FIRST-PRICE AUCTIONS: SUPPLEMENTARY MATERIAL BY JORIS PINKSE

In Pinkse and Tan (2005) we show the existence of a new effect called the affiliation effect, which can cause equilibrium bids to be decreasing in the number of bidders in first-price auctions with conditionally independent private values. Here we analyze what happens when the number of bidders tends to infinity. We also derive sufficient conditions for the expected winning bid to be increasing in the number of bidders. We further generalize some of the results in Pinkse and Tan (2005) to general affiliated private-values models.
The simple view of reading in 4th grade grade students from a public school in Quito

The simple view of reading is a model that tries to explain the reading comprehension from two variables which are decoding accuracy and oral language comprehension. There is an extensive research on this model in English readers. Although, some studies have been done in other languages with transparent orthographic systems, there are few investigations with Spanish readers. The purpose of this study has been to collect data on the applicability of the simple view of reading to Spanish reading comprehension, so 87 students of a public school from Quito were assessed with the PROLEC-R and CLP tests. The results show that join fluency or reading speed to the model may be more appropriate to explain the Spanish reading comprehension. Oral comprehension was the most related variable to the text reading comprehension; even thought decoding and reading speed made a small additional contribution. On the other hand, reading comprehension of sentences was only related in a significant way to decoding accuracy. These results show that the oral comprehension, the decoding accuracy and the decoding speed are essential in teaching and assessing reading.
Geography, Transportation, and Endogenous Trade Costs Online Appendix

Here, we describe the construction of ships’ travel histories. The first task is to identify stops that ships make using the EE data. A stop is defined as an interval of at least 24 hours, during which (i) the average speed of the ship is below 5 mph (the sailing speed is between 15 and 20 mph) and, (ii) the ship is located within 250 miles from the coast. A trip is the travel between two stops. The second task is to identify whether a trip is loaded or ballast. To do so, we use the ship’s draft: high draft indicates that a larger portion of the hull is submerged and therefore the ship is loaded. The distribution of draft for a given vessel is roughly bimodal, since as described in Section 2, a hired ship is usually fully loaded. Therefore, we can assign a “high” and a “low” draft level for each ship and consider a trip loaded if the draft is high (in practice, the low draft is equal to 70% of the high draft). As not all satellite signals contain the draft information, we consider a trip ballast (loaded) if we observe a signal of low (high) draft during the period that the ship is sailing. If we have no draft information during the sailing time, we consider the draft at adjacent stops. Finally, we exclude stops longer than six weeks, as such stops may be related to maintenance or repairs. The third and final task is to refine the origin and destination information provided in the Clarksons contracts. Although the majority of Clarksons contracts provide some information on the origin and destination of the trip, this is often vague (e.g. “Far East”, “Japan-S. Korea-Singapore”), especially in ∗Cornell University, Department of Economics, 464 Uris Hall, Ithaca NY 14850, USA, giulia.brancaccio@cornell.edu †Harvard University, Department of Economics, Littauer Center 124, Cambridge MA 02138, USA, myrto@fas.harvard. edu ‡Boston College, Department of Economics, Maloney Hall 343, Chestnut Hill, MA, 02467, USA, theodore.papageorgiou@bc.edu
The role of emollients in maintaining skin integrity

Patients with wounds may have compromised skin healing ability, and many will be older people; therefore, assessing and caring for surrounding skin is extremely important. The article will discuss the importance of skin health and skin barrier repair to prevent dry skin. It will provide practical guidance on understanding emollient use in wound care patients with vulnerable skin and discuss the evidence base for complete emollient therapy (CET). Information will be given on different types of emollients and guidance on good prescribing practice. � � Emollients � � Skin barrier � � Skin health
Comments on “the Energy Union and security-of-gas supply” by Ole Gunnar Austvik

Although the Central and Eastern European countries (CEEC) and their energy policies have been the subject of an increased number of analyses in recent years, especially in connection to their energy security challenges (see for example, Hiteva and Maltby, 2014; Maltby, 2015; Mišík and Prachárová, 2016; Roth, 2011; Tosun, 2011), much more attention is still paid to the EU's external energy relations in general and its energy relations with Russia in particular (among many other Casier, 2011; Finon and Locatelli, 2008; Goldthau and Sitter, 2014; Goldthau and Sitter, 2015; Khrushcheva and Maltby, 2016; Kuzemko, 2013; Neuman, 2010; Proedrou, 2007; Siddi, 2016a). However, member states remain key actors within the EU when it comes to securing energy supplies from third countries, which is a crucial energy issue for the CEEC. Each new analysis trying to shed more light on the CEEC's positions is thus a most welcome addition to this still under-researched area. Austvik's paper (2016) on the divergent views of EU member states on the Energy Union is therefore a much needed contribution to the discussion on the further development of the EU's energy policy and the position of member states (in particular, the CEEC) towards the deepening of integration in this area. However, in order to foster the nascent discussion (Mišík, 2016; Siddi, 2016b; Sitter et al., 2017; Szulecki et al., 2016), prevent fragmentation of the academic conversation and situate the analysis presented in the paper within a broader framework, a few comments are in order. This commentary thus aims to build on the main arguments presented by Austvik (2016) and further discuss them to foster conversation on the EU's energy issues and the role of the CEEC.
Screening for Internet Addiction among Medical Students in a Saudi Community

Authors : Nawaf A. Alqahtani, Ali M. Alqahtani, Khalid A. Alqahtani, Huda S. Abdullfattah, Ebtehal A. Alessa, Khalid S. Al Gelban, Ossama A. Mostafa Abstract : Background: The internet is an exciting medium that is becoming an essential part of everyday life. Although the internet is fully observed in Saudi Arabia, young people may be vulnerable to problematic internet use, possibly leading to addiction. Aim of study: To explore the magnitude of internet addiction (IA) among medical students associated risk factors and its impact on students' academic achievement. Subjects and Methods: A cross sectional study was conducted in 2014 on 571 medical students (293 males and 278 females) at the College of Medicine, King Khalid University, Abha, Saudi Arabia. Data Collection was done through using the Arabic version of the Compulsive Internet Use Scale and a checklist of demographic characteristics. Results: Age of participants ranged from 19 to 26 years (Mean+SD: 21.9+1.5 years). Internet access was available to 97.4% of students at home and to 80.2% of students at their mobile phones. The most frequently accessed websites by medical students were the social media (90.7%), scientific website (50.4%) and the news websites (31.3%). IA was mild in 47.8% of medical students while 5.8% had moderate IA. None of the students had severe IA. Prevalence of IA was significantly higher among female medical students (p=0.002), availability of internet at home (p=0.022), and availability of internet at the students' mobile phone (p=0.041). The mean General Point Average (GPA) was highest among students with mild IA (4.0+0.6), compared with 3.6+0.6 among those with moderate addiction, and 3.9+0.6 among those who did not show IA. Differences in mean GPA according to grade of IA were statistically significant ((P=0.001). Conclusions: Prevalence of IA is high among medical students in Saudi Arabia. Risk factors for IA include female gender, availability of internet at home or at the mobile phone. IA has a significant impact on students' GPA. Periodic screening of medical students for IA and raising their awareness toward the possible risk of IA are recommended.
Implicit Personalization in Driving Assistance: State-of-the-Art and Open Issues

In recent decades, driving assistance systems have been evolving towards personalization for adapting to different drivers. With the consideration of driving preferences and driver characteristics, these systems become more acceptable and trustworthy. This article presents a survey on recent advances in implicit personalized driving assistance. We classify the collection of work into three main categories: 1) personalized Safe Driving Systems (SDS), 2) personalized Driver Monitoring Systems (DMS), and 3) personalized In-vehicle Information Systems (IVIS). For each category, we provide a comprehensive review of current applications and related techniques along with the discussion of industry status, benefits of personalization, application prospects, and future focal points. Both relevant driving datasets and open issues about personalized driving assistance are discussed to facilitate future research. By creating an organized categorization of the field, we hope that this survey could not only support future research and the development of new technologies for personalized driving assistance but also facilitate the application of these techniques within the driving automation community.
Model optimization and parameter estimation in a bi-hormonal model of glucose dynamics in type 1 diabetes mellitus patients

Modelling of the glucose metabolism in people with type 1 diabetes mellitus (T1DM) is relevant for the in silico testing of artificial pancreas (AP) systems and can be applied to predictive control in such systems. Problems with existing models arise when these models need to be identified based on limited available data. In this thesis, simplification of existing model structures was applied to solve this problem. Models of subcutaneous insulin and glucagon kinetics were identified for simulating insulin and glucagon plasma concentrations in an average patient with T1DM. For modelling of the glucose concentration in response to these hormonal concentrations, model structures of varying complexity were proposed and identified. Performance of these models to predict glucose levels in patients with T1DM up to three hours forward was determined. Results showed that prediction performance was best for a simple nonlinear model structure with only two subject-specific parameters. 3 hours forward, the median absolute error was smaller than 1 mmol/L. This study shows that parameters in simplified model structures can be estimated with the applied methods. Despite some limitations, the study demonstrates the potential of a simple compartmental model to be applied for improvement of glucose control in T1DM patients.
A 100GHz Medium Power MMIC Amplifier with 15dBm Output Power on a GaAs Substrate

The design and measurement of a PHEMT MMIC medium power amplifier, designed on 2mil thick GaAs substrate for operation at 100GHz is described here. The unconditionally stable design has over 20dB gain, with saturated output powers in excess of 15dBm at 100GHz whilst using a 4V bias supply. The paper discusses the design methodology and the limits that GaAs MMIC designers are increasingly facing as higher frequency designs become more common and focuses on the trade-off between power and gain as the devices approach their operational limits. INTRODUCTION Since 1976 when the first monolithic microwave integrated circuit, or MMIC, using a field effect transistor was reported by R. S. Pengelly [1], MMIC circuit complexity and operational frequency has continued to increase. In addition while the reliability of MMICs manufactured on Si and GaAs are well understood [2] and with many MMICs having been qualified for spaceborne applications [3] [6], as the frequency of operational communications increases, circuit designs that now appear trivial at lower frequencies become increasingly difficult. In security applications mmWave scanning is commonplace where whole body scanning type machines are often used at airports and where objects can be detected underneath a person's clothing. Since clothing becomes translucent or invisible at mmWave frequencies, there is an advantage in using scanners which operate at higher frequencies and specifically in W-band. For future space technologies, W-Band solid-state amplifiers continue to garner interest in space instrumentation for earth observation and Van Heijningen has demonstrated good performance using both AlGaN/GaN materials and GaAs MHEMT technologies [7]. Xiaobin [8] has also demonstrated how AlGaN/GaN can be used to demonstrate high power levels at mmWave frequencies although the higher voltage requirement may prove restrictive to some applications. As a consequence, many recent MMIC developments have been at W-Band. In this paper the design of a 100GHz medium power amplifier which uses a GaAs PHEMT technology is presented. As the usuable frequency of operation for the technology is approached, the maximum available gain of the devices are lowered and the chip designer has to make a trade-off between a device gain or power match and this balance is discussed.
AFRL-AFOSR-VA-TR-2018-0388 Canonical Shear Flow Interactions with Unsteady Airfoils

A coordinated experimental and computational investigation is carried out to determine how the basic flow physics of steady and unsteady airfoils are altered when the upstream approach flow is changed from the traditional uniform conditions to that of non-uniform flow. Our particular objectives are to establish the alterations that occur for both the load on the airfoil and also the flow field structure. This work considers the NACA 0012 airfoil in pure pitch with low to moderate angle of attack amplitudes about zero mean angle of attack, and chord Reynolds number of order 10,000. It is found that a steady symmetric airfoil has negative lift at zero angle of attack when placed in steady shear flow with positive shear, opposite of the prediction of inviscid theory. A hypothesis is formulated to explain the observed sign of the lift force on the basis of the asymmetry in boundary layer development on the upper and lower surfaces of the airfoil, which creates an effective airfoil shape with negative camber. However, it is found that the same steady airfoil placed in the unsteady flow field of a two-stream shear layer generates positive lift at zero angle of attack. Also, the character of the (CL alpha) curve changes fundamentally and the multi-slope features of the curve in the case of uniform flow completely disappear in favor of a much longer linear region characteristic of much higher Reynolds number airfoils. The main influence of shear approach flow on unsteady aerodynamic DISTRIBUTION A: Distribution approved for public release load is on the mean lift, leaving the mean thrust and force fluctuations mostly unaffected. Distribution Statement This is block 12 on the SF298 form. Distribution A Approved for Public Release Explanation for Distribution Statement If this is not approved for public release, please provide a short explanation. E.g., contains proprietary information.
New Developments in Soft Robotics: An Interview with Nicholas W. Bartlett and Michael T. Tolley

Over the past few months there have been a host of exciting new developments in nontraditional robotics that exploit the core tenets of soft robotics. One device that has attracted a great deal of academic and public interest is a 3D-printed jumping robot that is powered by combustion. The two lead authors of this article agreed to answer some questions about the technology used to build this device and the implications of their research.
Book reviews

The concept of ‘strategy’ has been implicit on much of the writing on the New Public Management and on public management more generally for a long time. When the discipline of public management emerged from the public administration discipline of the past, the focus was more on action of public managers instead of law-based administration, more on direction rather than vision-less bureaucratic routines and more on a consistent pattern of action rather than impersonal application of rules to specific and predictable cases. If one accepts the notion of public management as structure, craft and institution (Lynn 2006), then the action-oriented craft part is perhaps what separated public management most from its bigger sister in the more traditional public administration paradigm. Public managers are doers, we are often told. Public managers initiate changes, innovate, challenge the orthodoxy, take calculated risks, communicate, engage in networks and partnerships and sometimes pursue their own managerial agenda rather than blindly following the directions of the government of the day. Despite the focus on action and goal-directed behaviour, the issue of ‘strategic’ action has been less developed intellectually in the public management literature. When ‘strategy’ emerges, it has mostly got to do with rational choice-type arguments, especially in the principal – agent framework where strategic agents do what they can to escape the rules set by principals. ‘Strategy’ as such is less well theorized in the more general public management literature. There are exceptions of course and what remarkable exceptions they are. On either side of the Atlantic, a few works seem to stand out from the crowd. From the United States, Mark H. Moore’s (1995) book on Creating Public Value is perhaps the most
Agile ways of working: A team maturity perspective

With the agile approach to managing software development projects comes an increased dependability on well‐functioning teams, since many of the practices are built on teamwork. The objective of this study was to investigate if, and how, team development from a group psychological perspective is related to some work practices of agile teams. Data were collected from 34 agile teams (200 individuals) from six software development organizations and one university in both Brazil and Sweden using the Group Development Questionnaire (Scale IV) and the Perceptive Agile Measurement (PAM). The result indicates a strong correlation between levels of group maturity and the two agile practices iterative development and retrospectives. We, therefore, conclude that agile teams at different group development stages adopt parts of team agility differently, thus confirming previous studies but with more data and by investigating concrete and applied agile practices. We thereby add evidence to the hypothesis that an agile implementation and management of agile projects need to be adapted to the group maturity levels of the agile teams.