Miracle-dz/UniFAR-FTUs huggingface dataset:
Competencies in Spanish Universities: Preliminary Findings POMEDA

Problem Statement.What the self-perceptions of higher officials in Spanish universities are about the main competencies required in their daily tasks. Purpose of Study.To analyze what the main competencies are in the professional behaviour of higher officials at Spanish universities. The improvement of their competencies through a systematic educative framework would be based on what gaps are found to exist in their competencies. Methods.Principal component analysis: After dealing with sample size, we have analyzed the Kaiser-Meyer-Olkin (KMO) statistic of sampling ter that, we ran the component extraction and the interpretation of the components based on oblique rotation. The last task was to check the reliability of the scale used. Findings and Results. competencies have paramount relevance now: organizational transformation (command of change management models, total quality management, and Higher education finance models); strategic management (strategic planning, general and team management); leadership (self-confidence, impact and influence on others); theoretical reflection previous to action (command of achievement orientation, conceptual thinking, information seeking, and directiveness/assertiveness). Conclusions and Recommendations.Context is a key issue of leader effectiveness in order to develop an attuned scheme of competencies, that  . Universidad Autonoma de Madrid. Email:jesus.pomeda@uam.es **Dr. Fernando Casani. fernando.casani@uam.es 44 & Fernando Casani what effective leadership is. In the past, academic leaders exerted their role by applying routine behaviours based on command-and-control schemes within the limits established by the principal stakeholder surveillance. However, the literature increasingly recognizes that single prescriptions for leadership excellence no longer work. When the winds of change blow harder, leaders must be equipped with a broad and complex array of knowledge and skills, that is, a brand-new portfolio of leadership competencies. This must be the goal for any formal training program.
Improving direct-mapped cache performance by the addition of a small fully-associative cache prefetch buffers

Projections of computer technology forecast processors with peak performance of 1,000 MIPS in the relatively near future. These processors could easily lose half or more of their performance in the memory hierarchy if the hierarchy design is based on conventional caching techniques. This paper presents hardware techniques to improve the performance of caches. Miss caching places a small fully-associative cache between a cache and its refill path. Misses in the cache that hit in the miss cache have only a one cycle miss penalty, as opposed to a many cycle miss penalty without the miss cache. Small miss caches of 2 to 5 entries are shown to be very effective in removing mapping conflict misses in first-level direct-mapped caches. Victim caching is an improvement to miss caching that loads the small fully-associative cache with the victim of a miss and not the requested line. Small victim caches of 1 to 5 entries are even more effective at removing conflict misses than miss caching. Stream buffers prefetch cache lines starting at a cache miss address. The prefetched data is placed in the buffer and not in the cache. Stream buffers are useful in removing capacity and compulsory cache misses, as well as some instruction cache conflict misses. Stream buffers are more effective than previously investigated prefetch techniques at using the next slower level in the memory hierarchy when it is pipelined. An extension to the basic stream buffer, called multi-way stream buffers , is introduced. Multi-way stream buffers are useful for prefetching along multiple intertwined data reference streams. Together, victim caches and stream buffers reduce the miss rate of the first level in the cache hierarchy by a factor of two to three on a set of six large benchmarks.
The Shape Design for Vibration Reduction of IPM Type BLDC Motor

In this paper, the Radial Magnetic Force(RMF) which cause vibration and noise in IPM type BLDC motor was analyzed. And, the vibration reduction was performed by equilibrium of RMF and cogging torque reduction. Because, the cogging torque and RMF were causes of electromagnetic vibration. So, the notch was installed for the equilibrium of RMF. Also, operating characteristics and efficiency were analyzed and compared.
Ketogenic Weight Loss Diet Rapidly Unmasks an Insulinoma

The ketogenic diet, a diet high in fat and extremely low in carbohydrates, has recently gained momentum and is increasingly employed by patients in order to lose weight. We report a case of an otherwise healthy 47-year-old male who developed seizures and hypoglycemia shortly after initiating this diet. Biochemical testing confirmed hyperinsulinemic hypoglycemia and a subsequent abdomen MRI showed a pancreatic mass. The tumor was ultimately excised with pathology confirming an insulinoma. It was felt that his abrupt decrease in carbohydrate consumption led to the rapid unmasking of this tumor.
Computing Random Forests Variable Importance Measures (VIM) on Mixed Continuous and Categorical Data

The Random Forest model is commonly used as a predictor function and the model have been proven useful in a variety of applications. Their popularity stems from the combination of providing high prediction accuracy, their ability to model high dimensional complex data, and their applicability under predictor correlations. This report investigates the random forest variable importance measure (VIM) as a means to find a ranking of important variables. The robustness of the VIM under imputation of categorical noise, and the capability to differentiate informative predictors from non-informative variables is investigated. The selection of variables may improve robustness of the predictor, improve the prediction accuracy, reduce computational time, and may serve as a exploratory data analysis tool. In addition the partial dependency plot obtained from the random forest model is examined as a means to find underlying relations in a non-linear simulation study. Random Forest (RF) är en populär prediktormodell som visat goda resultat vid en stor uppsättning applikationsstudier. Modellen ger hög prediktionsprecision, har förmåga att modellera komplex högdimensionell data och modellen har vidare visat goda resultat vid interkorrelerade prediktorvariabler. Detta projekt undersöker ett mått, variabel importance measure (VIM) erhållna från RF modellen, för att beräkna graden av association mellan prediktorvariabler och målvariabeln. Projektet undersöker känsligheten hos VIM vid kvalitativt prediktorbrus och undersöker VIMs förmåga att differentiera prediktiva variabler från variabler som endast, med aveende på målvariableln, beskriver brus. Att differentiera prediktiva variabler vid övervakad inlärning kan användas till att öka robustheten hos klassificerare, öka prediktionsprecisionen, reducera data dimensionalitet och VIM kan användas som ett verktyg för att utforska relationer mellan prediktorvariabler och målvariablel.
LATTICE BASED MORPHOLOGICAL RULE INDUCTION

In this paper we will present a novel inflection learning method using lattice based algorithms. The inflection grammar system is represented with a lattice of elementary inflection rules, enabling the description of prefix, infix and suffix transformations as well. The proposed grammar system is ideal for highly agglutinative languages like Hungarian. We created a learning algorithm to generate the rules in an automated way from training word pair sets. Our evaluation shows that this novel method can learn both suffix and infix transformations unlike our baseline algorithm called TASR, and has a better correctness ratio than finite state transducers, too. 2010 Mathematics Subject Classification: 68T50.
Shocks , Structures or Monetary Policies ? The EA and US After 2001 ∗

We describe a model we have estimated using US and Euro Area data, and use it to address a recent controversy. The US Federal Reserve cut interest rates much more vigorously in the recent recession than the European Central Bank did. By comparison with the Fed, it is claimed, the ECB stood by passively as the EA economy slumped. We argue that ECB passivity is not a useful explanation of the different policy outcomes in the EA and the US. First, we find that because there is greater inertia in the ECB’s policy rule the policy actions of the ECB actually had a greater stabilizing effect than did those of the Fed. The ECB converted what would have been a severe recession in the EA into what turned out to be only an economic growth slowdown, without compromising its inflation objective. A second reason that policy outcomes in the EA and the US were different is that the two economic regions were hit by different shocks. ∗This paper expresses the views of the authors and not necessarily those of the European Central Bank. We are grateful for the comments of Mark Gertler and for reactions of participants at the conference organized by the International Research Forum on Monetary Policy, Federal Reserve Board of Governors, December 1-2, 2005. The first author is grateful to the National Science Foundation for financial support. †Northwestern University and National Bureau of Economic Research ‡European Central Bank §European Central Bank
Diagnosis, Management, and Prevention of Rabies

Since the Council of Agriculture reported three rabid ferret-badgers in July 2013, Taiwan has become rabies enzootic area after being rabies-free for 50 years. About 40% persons exposed to rabid animals will be infected and the mortality is extremely high. This article introduces the symptoms, diagnostic tests, management, pre-exposure and post-exposure prophylaxis of rabies. Rabies is an acute progressive encephalomyelitis. The typical clinical symptoms involve neurological presentations predominantly, including agitation, convulsion, and confusion, etc. The laboratory techniques include viral antigen detection, virus isolation, viral antibody detection, and viral ribonucleic acid detection. Due to no proven standard therapy, it is important to prevent rabies after suspect exposure to the virus, consisting of local treatment of wounds, rabies immunoglobulin (RIG) administration, and rabies vaccine injection. In response to re-emergence of rabies, Taiwan CDC has controlled and coordinated the distribution of rabies vaccines and RIG in Taiwan since July 2013. Other implemented strategies include increasing designated hospitals for rabies vaccines storage, enhancing the healthcare providers training about rabies prophylaxis.
The influence of Doppler effect on information transmission in sound channel

The received signal average power P' = αP is established for the sound channel with Doppler effect. The capacity for the AWGN Shannon channel with Doppler effect and the achievable rate region for the AWGN Multiple-Access Channel with Doppler effect are studied. The asymmetry in information transmission efficiency for two-way sound communication with Doppler effect is discussed.
Backchan.nl: integrating backchannels with physical space

In this paper, we describe backchan.nl, a web based backchannel system that focuses on managing questions for presenters by allowing audience members propose and vote on other people's questions. Top rated questions are projected in the presentation space so audience members, moderators, and panelists can see them. We discuss the results of deploying this system at a conference and relate those results to the particular design of our system, demonstrating how backchannel systems can be more than just shared chat rooms.
Features of ecological differentiation of halophytic, steppe and petrophytic vegetation in the valley of the Liman Kuyalnik (Odesa Oblast)

Assessment of key environmental factors that influence vegetation distribution and formation of plant communities is one of the most important challenges in modern phytocenology. Nowadays, several bioindication systems are applied to determine ecological specificity of plant communities and to establish the leading factors for their environmental differentiation. The system most widely used in Europe, that of H. Ellenberg, contains a numerical score on 6 ecological factors. On the example of vegetation of the valley of the Liman Kuyalnik, Y. Didukh developed the synphytoindication method based on evaluation of phytocenoses with respect to 12 ecological factors: 7 edaphic factors and 5 climatic factors; the method determines a more accurate and complete presentation of the analysis. In the valley of the Liman Kuyalnik (Odesa Oblast) the largest area is covered with halophytic and steppe vegetation. Halophytic vegetation (Therosalicornietea, Festuco-Puccinellietea classes, Juncetea maritimi, Bolboschoenetea maritimi) predominated in the shoreline areas of the valley, whereas steppe (Festuco-Brometea) and petrophytic (Sedo-Scleranthetea) vegetation dominated on the slope sites. With the application of DCA-ordination and synphytoindication methods it was established that distribution of plant communities in the hyper-space of the environmental conditions was most strongly correlated with edaphic factors, whereas microclimatic (light intensity) and climatic (thermo-regime) conditions had somewhat less influence on their differentiation. Water regime and level of soil salinity served as key factors for syntaxa of halophytic vegetation; moisture variability and salt regime, as well as soil moisture and carbonate content were key factors for the steppe vegetation, and thermo-regime was the main factor for petrophytic-steppe and petrophytic vegetation. The "eco-spaces" of these groups largely overlap. Halophytic cenoses are characterized by quite wide ecological ranges by most ecological factors. Steppe communities show much less ecological diversity. In the valley of the liman, all the steppe communities were characterized by stenotopicity in relation to most ecological factors; these factors complexly determine the specificity and diversity of biotopes within the valley, which are unique and require protection and the taking of appropriate measures, depending on the changes in activity of one or another limiting factor. Nowadays, the valley of the Liman Kuyalnik is in a state of environmental disaster. The established relationships in ecological differentiation of plant communities will be applied to further monitoring of biodiversity state, preservation and possible restoration of vegetation types that were native for this unique territory.
Analysis of tweets using Supervised Machine Learning

This paper addresses the problem of analyzing sentiment on a social media platform called Twitter; that is to identify and classify whether a tweet expresses a positive sentiment or a negative sentiment. Twitter is an online social networking and micro-blogging website where people from around the world communicate and write short updates, called as “tweets” without exceeding the character limit of 140 characters. It is a continuously expanding web service, having an average of 330 million monthly active users as of the fourth quarter of 2017. This large number of users results in enormous amounts of publicly available data that may be used to gather insight and to reflect the public sentiment by analyzing the tweets. There are many applications to performing sentiment analysis in today’s world in various fields and industries such as gathering market research insights, predicting political campaigns’ outcomes etc. Performing sentiment analysis with traditional techniques of writing manual rules and conditions becomes complex as the number of rules to be written, keep increasing to tackle the raw natural language. The aim of this paper is to investigate further into the sub-domain of natural language processing called sentiment analysis, and develop a statistics based functional classifier and incorporate it with other machine learning models to create a vote based classifier algorithm, for automating and performing accurate sentiment classification of desired tweets.
Application of Data Mining Techniques for Improving Software Engineering

Computer software plays an important role in business, government, societies, and the sciences. To solve realworld problems, it is important to improve the quality and reliability of computer software. Software Engineering is the computing field concern with designing, developing, implementing, maintaining, and modifying software. Software Engineering data consists of sequences, graphs, and text. In this paper, we study how data mining techniques can be applied in solving Software Engineering problems. These techniques are applied to detect problems such as bugs, to aid in pattern discovery, and to help developers deal with the complexity of existing software, in order to create more failure-free software. At the end of this paper, we suggest specific data mining techniques for each type of Software Engineering data. Keywords—Software Engineering, Data Mining, Text Mining, Sequence Mining, Graph Mining
Modeling and design of fast steering mirror in image motion compensation for backscanning step and stare imaging systems

Abstract. To compensate for disturbances in an aircraft’s forward flight and variations in its attitude and angular velocity in the imaging process of photoelectric imaging system, a method of image motion compensation using a fast steering mirror was put forward. First, the working sequence of the image motion compensation system was designed. The position of the fast steering mirror is established by increasing the oblique wave to allow the fast steering mirror to move at the desired speed and compensate for the image motion speed. Then, a mathematical model of the fast steering mirror was established. A linear extended-state observer is designed to estimate the disturbance in real-time, and disturbance compensation is generated to offset the disturbance. Finally, a step response experiment and a tracking experiment were performed to test the characteristics. The step response curve shows that the system’s stable time is 1.8 ms. The tracking characteristic is determined by a given scan curve. The fast steering mirror can satisfy the requirement for a high-speed and highly precise tracking system. It improves the system’s interference rejection performance and reduces the difficulty of controller design.
Elaboration of pyramidal methods applying computation technique “rough-fine” image identification

One of the aims of the given research is realization of one of possible variants of the solution of the problem of efficient integration of high-level information in low-level image presentation. The result of this integration is high efficiency of recognition. The advantage of such recognition is compact description of object image that considers reduced size of database and more fast-acting realization of processing. For solution of above-mentioned problems, the creation of common methodological basis for synthesis of simple computational algorithm of image preprocessing with their segmentation and formalized procedures of separate parts description with high adaptive ability on the basis of the ideas of algebraic approach to recognition problems is very actual.
Recent Advances in Metamaterial Leaky-Wave Antennas

The paper present an overview of recent advances in metamaterial leaky-wave antennas (LWAs), including the resolution of the issue of inefficient broadside radiation (Sec. 2), new technological implementations (Sec. 3), new design procedures (Sec. 4), efficiency and space scanning enhancement techniques (Sec. 5), electronic beam-shaping structures (Sec. 6) and exotic systems (Sec. 7).
Participant Opinions and Expectations about Medical Services at Ultramarathons: Findings from the Ultrarunners Longitudinal TRAcking (ULTRA) Study

Background This work explores the opinions and expectations of ultramarathon runners about medical services and their perceived quality during ultramarathons. Methods Focused questions related to medical services at ultramarathons were included in the 2018 survey of Ultrarunners Longitudinal TRAcking (ULTRA) Study enrollees. Results Among the 1,156 respondents, 83.2% agreed that ultramarathons should provide at least a minimum level of medical support with basic first aid and emergency transport services rated as the most important medical services, and individuals with basic first aid training rated as the most important medical providers at ultramarathons. Participant safety was felt to largely be the responsibility of each runner as well as the race and/or medical director. Among 832 respondents having completed an ultramarathon in 2016-2018, their impression of medical services at 4,853 ultramarathons was generally favorable. Of the four percent of times in which medical support was needed, it met expectations 74% of the time. Of the total of 240 different medical issues for which medical support was needed, blister management was the most common, accounting for 26.7% of issues. Conclusions Even though medical services receive minimal utilization during ultramarathons, ultramarathon runners largely believe that these events should provide at least a minimum level of medical support. Ultramarathon runners place a high onus for safety during ultramarathons on themselves, but they also place a high level of responsibility on race and medical directors, so it is prudent for the race and medical directors to consider this information and avoid a mismatch between runner expectations and the medical services actually provided.
Double-sided self-apodization effect in chirped tapered fiber Bragg gratings

In this work a numerical analysis of the group delay response of the Bragg gratings written in tapered fibers is presented. In particular, a structure that is written in fiber that consist of two tapered transitions is considered. Similarly, to the single sided self-apodized gratings, a significant reduction of the group delay oscillations occurs due to the expansion of the modal field in the tapered region. Moreover, as a result of the symmetrical shape of the described structure, reduction of these oscillations occurs irrespective of the feeding direction of light. Both, tapered transitions slope and Bragg grating chirp are taken into account in respect to the limitations of the fabrication process.
Characterization of CuO nanorods

The molecular and crystalline structure of a new type of nanomaterial were presented. The method consisting of two stages - physical vapor deposition from the gas phase and thermal oxidation - contains layers with CuxO nanostructures especially CuO nanorods. High-resolution electron transmission microscopy and infrared spectroscopy measurements allowed for the determination of the crystalline and molecular structure of examined films. HRTEM research shows that nanorods are made of CuO, while infrared spectroscopy studies confirm the existence of CuO and Cu2O phase layers in the structure. The obtained material is widely used in various fields of science, including electronics, photovoltaics, sensors and biomedical engineering