Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributionally Robust Operating Reserve Demand Curves

Operating Reserve Demand Curves (ORDCs) are used to determine prices and dispatch levels for operating reserves. They are intended to represent the expected cost of lost load given a specific amount of operating reserve in the system and are constructed using a reserve error probability distribution, which is typically constructed from historical data and is often assumed as Gaussian. This paper is the first to propose a Distributionally Robust (DR) ORDC using a robust representation of the reserve error distribution. We use an ambi-guity set in the form of a Wasserstein ball around the empirical distribution, which reduces to the empirical distribution when the ball radius is set to zero. Using published ORDC data from ERCOT, numerical results illustrate how the DR ORDC is a more accurate representation of the historical reserve error data when the Wasserstein ball radius is chosen to be zero and how the Wasserstein ball radius can be raised (lowered) to make the DR ORDC more (less) conservative. We find that the DR ORDC conservatively approximates the tails of the reserve error distribution by raising prices at high operating reserve levels.
I Learn What I Need: An Analysis of Students’ Needs in Learning English

Learning English in Vocational High Schools (VHSs) is different from that in Senior High Schools. The orientation of VHSs is to train students to be qualified enough for the world of work in the future. In other words, VHSs focus on the students’ readiness to do certain job expertise. In order to achieve this goal, the English teacher should provide English learning materials that are appropriate to their fields and based on the students’ need. Eventually, English teachers in VHSs are expected to have the ability to analyze the students’ needs, so that they can design appropriate instructional materials. The purpose of this research was to describe the need analysis results of students who were prospective workers as well as English learners. This study involved 21 eleventh grade students of Multimedia Study Program at vocational school SMK Negeri 5 Jayapura. The data were collected through a questionnaire and analyzed based on the interpretation of frequency and percentage. The results show that the needs of students towards learning English are to meet the academic professions and the future needs of the students, including the skills of the language and some of the language components. Keywords—need analysis, ESP, Vocational High School, learning needs
Evolving Antennas for Ultra-High Energy Neutrino Detection

Evolutionary algorithms borrow from biology the concepts of mutation and selection in order to evolve optimized solutions to known problems. The GENETIS collaboration is developing genetic algorithms for designing antennas that are more sensitive to ultra-high energy neutrino- induced radio pulses than current designs. There are three aspects of this investigation. The first is to evolve simple wire antennas to test the concept and different algorithms. Second, optimized antenna response patterns are evolved for a given array geometry. Finally, antennas themselves are evolved using neutrino sensitivity as a measure of fitness. This is achieved by integrating the XFdtd finite-difference time-domain modeling program with simulations of neutrino experiments.
Spatial Arbitrage through Bidirectional Electric Vehicle Charging

Energy arbitrage is typically a temporal process - buying energy when prices are low, and selling when prices are high. However, the spatial variation in electricity prices could generate additional revenue streams if energy were transported to locations with deficits in cheap energy, providing valuable grid services such as congestion relief. In this paper, we develop de-terministic and single-stage stochastic optimization frameworks which maximize revenue by optimizing the charging, discharging, and travel of an electric vehicle under spatial and temporal price uncertainty. The model is also capable of incorporating uncertain traffic data. The results show the potential of bidirectional electric vehicle charging as a mobile grid asset; however, only substantial revenue is realized when prices between areas vary significantly and can be forecast with high probability.
Svjesnost u roditeljstvu majki i očeva djece različite dobi

Cilj je ovoga rada bio istražiti koncept svjesnosti u roditeljstvu (engl. mindful parenting) s obzirom na njegovu strukturu, povezanost s konceptom usredotočene svjesnosti (engl. mindfulness) i doživljajem roditeljstva, te ispitati razlikuju li se majke i očevi djece različite dobi u svjesnom roditeljstvu. Jedan od ciljeva ovoga istraživanja bio je validirati hrvatsku verziju Upitnika svjesnog roditeljstva (McCaffrey, 2015), za koji je autorica utvrdila da se sastoji od dva faktora – roditeljske samoefikasnosti i usmjerenosti na dijete. Stoga se u istraživanje krenulo od pretpostavke da će podaci prikupljeni na uzorku naših roditelja također potvrditi dvofaktorsku strukturu Upitnika. Također, pretpostavka je bila da će majke iskazati višu razinu svjesnosti u roditeljstvu u odnosu na očeve, da će usredotočena svjesnost biti značajan prediktor svjesnog roditeljstva, kao i pozitivno iskustvo s vlastitim roditeljima u djetinjstvu. U istraživanju je sudjelovalo ukupno 515 roditelja (320 majki i 195 očeva) koji su ispunili Upitnik općih podataka, Kratku skalu iskustva s vlastitim roditeljima, Skalu usredotočeno svjesne pažnje i svjesnosti, Upitnik svjesnog roditeljstva te Skalu roditeljske kompetentnosti. Rezultati su pokazali da podaci prikupljeni ovim istraživanjem bolje pristaju modelu svjesnog roditeljstva s pet faktora: usmjeravanje pažnje na dijete s prihvaćanjem, empatično razumijevanje djeteta, roditeljska samoefikasnost, roditeljska svjesnost te ne-reaktivnost. Nadalje, pokazalo se da majke više usmjeravaju pažnju na dijete te iskazuju višu razinu empatičnog razumijevanja u odnosu na očeve. Utvrđena je značajna povezanost svjesnog roditeljstva s percepcijom roditeljske kompetentnosti i zadovoljstva dok se, suprotno očekivanjima, usredotočena svjesnost na intrapersonalnoj razini nije pokazala značajnim prediktorom svjesnosti u roditeljstvu. Pozitivno iskustvo s vlastitim roditeljima tijekom odrastanja značajan je prediktor svih dimenzija svjesnog roditeljstva.
Carbon Tax and Utility-scale Solar Deployment

The latest inventory report of the U.S Energy Information Administration states that renewable energy, most notably solar and wind, will account for nearly 70% of approximately 40 gigawatts of new generating capacity in 2021. Utility-scale solar is set to make significant strides in 2021, with a total of 15.4 gigawatts of new capacity addition surpassing the 12 gigawatts increase in 2020. The rapid increase in the use of renewable energy is expected to have a significant impact on greenhouse emissions while at the same time altering the conventional generation resource pool. This paper investigates the impact of utility-scale solar capacity addition and the implementation of carbon tax policy on the overall profitability of adding renewable generation to the existing energy mix. The current generation resource pool of the southeast region of the U.S augmented by a substantial amount of utility-scale solar is used as a case study for this investigation.
A Deep Multimodal Voice Pathology Classifier with Electroglottographic Signal Processing Capabilities

In this paper, we present a study on the integration of multimodal data into a modular deep learning architecture, for the task of automatic classification of voice pathology, with an emphasis on the role of electroglottographic signals as a new modality. The proposed architecture fuses audio descriptors, categorical medical data and features derived from electroglottographic signals into a modular deep learning architecture. More specifically, a cascade of convolutional layers processes a sequence of short-term audio feature vectors consisting of Mel-Frequency Cepstral Coefficients, their derivatives and Mel filterbank outputs. Furthermore, medical records and mid-term audio features are processed by a standard feed-forward branch and, finally, in a parallel, convolutional branch, ”wavegrams” of the glottal chords are processed as a new modality to increase system accuracy. Our study focuses on the sustained vowel /a/ in a subset of the Saarbrucken voice database. The resulting problem is class-imbalanced and the gathered dataset includes healthy subjects and three types of pathology types, namely hyperfunctional dysphonia, laryngitis and recurrent laryngeal nerve paralysis. The experimental results indicate that the integration of various modalities and in particular the inclusion of electroglottographic signals, increases the system’s classification capabilities, yielding a state-of-the-art classification accuracy of 89.3%.
Defect Growth Characterization in Modern Rail Steels

The Federal Railroad Administration (FRA) has been sponsoring research on rail integrity for several decades. This research has been chiefly managed and conducted by the Volpe National Transportation Systems Center (Volpe). Particular focus has been given in this research to rail head defects, known as detail fractures, since they are the most commonly encountered defect in continuous welded rail track [1]. Testing and analyses have been performed on railroad rails manufactured without head hardening. Modern rail, however, are now heat treated during the manufacturing process to harden the rail surface to increase its resistance to wear. As such, the heat treatment and nonuniform cooling induce complex residual stress patterns in the rail that can affect microstructure and fatigue crack growth rate behavior. This paper will describe research to examine defect growth behavior of modern rail steels. This research is a collaboration among several organizations: Thornton-Tomasetti, Arcelor-Mittal, Lehigh University, Harvard University, National Institute of Standards and Technology (NIST), Fraunhofer Institute, and Volpe. Arcelor Mittal donated rails with different grades of steel: advanced head hardened, head hardened, and standard strength (i.e. non-head-hardened). Lehigh conducted laboratory tests on specimens cut from these rails to perform various tests, which include: hardness measurements, mechanical testing to measure tensile properties, fracture toughness measurements, and fatigue crack growth rate tests. All of these tests were performed in accordance with applicable ASTM International standards. NIST and Fraunhofer performed preliminary neutron diffraction measurements of residual stresses on the different rails. Moreover, this paper will present results from the laboratory testing program. Implications of these results on detail fracture growth behavior will also be discussed.
Differential Effects of FonF and FonFS on Learning English Lax Vowels in an EFL Context

This study investigated the differential effects of focus-on-form (FonF: explicit instruction followed by focused tasks) and focus-on-forms (FonFS: explicit instruction followed by controlled exercises) on learning English lax vowels (i.e., /ɪ/, /ʊ/, /ʌ/) by Persian English as a foreign language (EFL) learners. To this end, 48 learners took a voluntary 6-hour course: the experimental group (n = 17) received FonF, the comparison group (n = 16) received FonFS, and the control group (n = 15) engaged in theme-based discussions with no focus on the target vowels. Learners’ pronunciations were elicited in controlled read-aloud and spontaneous picture description tasks and acoustically measured for phonetic accuracy based on tongue positions (i.e., formant 1 [F1] for the height and formant 2 [F2] for the backness of the tongue). Results revealed that whereas both instructional types significantly improved learners’ phonetic accuracy (i.e., adjusting F1/F2 values) in the controlled task, only the FonF methodology proved effective in the spontaneous task with large effects in the delayed posttest. The control group revealed no improvement in any tasks. Overall, the results show that FonF instruction may offer substantial benefits to EFL learners to have more accurate pronunciations in EFL speech. The paper concludes with the pedagogical implications of the findings.
The Influence of Functional Factors on the Performances of Motor Vehicles

Digital Object Identifier 10.32754/JMT.2019. 1.04 23 1Abstract—The paper highlights the main possibilities of studying the influence of the functional parameters on the vehicle’s efficiency and its dynamic behavior. Mathematical algorithms are applied, which allow us to study these issues based on experimental data gathered throughout specific tests carried out on certain vehicles. These algorithms are applied on vehicles which have electronic control for various automotive systems, thus the data was gathered from the vehicles’ built in CPUs. To this purpose we will show how to use sensitivity analysis, dispersion analysis, correlation analysis and information theory in automotive engineering.
Caracterizing the MTF in 3D for a quantized SPECT camera having arbitrary trajectories

The modulation transfer function (MTF) in 3D is examined for a compact SPECT system capable of moving in different trajectories. A novel phantom has been developed to allow simultaneous measurements of the MTF oriented along three orthogonal axes for dedicated SPECT. The phantom consists of three capillary tubes filled with radioactivity, positioned nearly orthogonally to each other. The evaluated imaging system is a 16/spl times/20cm/sup 2/ CZT-based compact gamma camera with 2.5 mm square pixels having a hexagonal close-packed collimator on its front surface. Projection data are acquired with the phantom positioned in air and in various uniformly cylindrical and non-uniformly breast-shaped water scattering media in the camera's field of view. Various source-to-collimator distances are evaluated using simple and more complex orbital trajectories about the phantom including: vertical axis of rotation, tilted parallel beam, circle-plus-arc, and a sinusoid projected onto a hemisphere. Using data collected with an /spl plusmn/8% energy window about the /sup 99m/Tc 140 keV photopeak, images are reconstructed with an iterative ordered subsets expectation maximization algorithm for different iterations, reconstructed voxel sizes and sampling schemes. After reconstruction, each line is rotated into its own plane that is mutually orthogonal to the other two lines, and reoriented with coordinates obtained from 2D Radon transform. One dimensional line spread functions and corresponding MTFs are evaluated along the various segments of each capillary tube. Results indicate small variations in the MTFs, with complex orbits having slightly better performance in scatter conditions.
Local knowledge of Karangwangi People of Cianjur District, West Java, Indonesia on water pollution of the Cikawung River

Primadiani D, Iskandar J, Sunardi. 2018. Local knowledge of Karangwangi People of Cianjur District, West Java, Indonesia on water pollution of the Cikawung River. Asian J Ethnobiol 1: 9-14. In the past, village people of Karangwangi, Cianjur District, West Java Province did not face any problem of water supply, including supply from the Cikawung River. Of late, however, they are experiencing problems with water sources, particularly water supply from the Cikawung River. Since pesticides have been intensively used in the local agroecosystems, such as irrigated rice fields and monoculture vegetable gardens, the Cikawung river water is polluted. In addition, the consequences of increase in conversion of forests and traditional mixed-gardens into agricultural and settlement areas have dramatically affected hydrological balances. On this background, this research was carried out to elucidate the local knowledge of the Karangwangi people on the status of pollution of water of the Cikwaung river. This research used a mix of qualitative and quantitative methods with descriptive qualitative analysis. Qualitative data collection technique used was deep interviews with informants chosen purposely with snowball sampling. Quantitative data collection technique was interview with respondents using questionnaires and measurement of physical, chemical and biology parameters of Cikawung River water. Results of this research confirm that village people of Karangwangi have considerable local knowledge on water categorization, pollution and pollution indicators of Cikawung River
Conception and realization of a REST-based application programming interface for intersession-management in psychology

Mobile software applications have become one enabler in the field of medical treatments. This is comprehensible, since it enables “open access to details about illnesses, diseases, health promotion and healthcare”. Especially in the psychological branch, Home-Based Therapy and medical mobile apps are widespread. Furthermore, the analysis of patient data is difficult because it is rarely received digitally and can hardly be processed. Since 2017, the Alps-Adria-University Klagenfurt has been trying to improve the research progress in this field, exceedingly in the data collection of the patient’s Intersession processes. In detail, they want to develop a multi-device platform to collect, analyse, illustrate and process the data of the patients as simple as possible. In times of Big Data and Public Health Databases, the collection of information has carried through and there is a huge amount of ways to gather as much information as possible. The most common form is probably the Application Programming Interface, which enables easy communication between applications and offers a good possibility to save data to a server.
Measuring Temporal Preparation

Temporal preparation is a fundamental cognitive ability that enables us to anticipate the moment in time (in the millisecond to second range) at which a relevant event might occur. At an operational level, this means that when stimulus onsets can be predicted, both accuracy and response time to such stimuli will be improved compared to stimuli with unpredictable onset (Correa, 2010; Nobre, Correa, & Coull, 2007). Theoretically, temporal preparation is linked to the field of time perception since the ability to anticipate when something is going to occur does involve the capacity to compute the passage of time. It should be noted, however, that experiments on temporal preparation require using time rather than consciously estimating it (i.e., time estimation and reproduction tasks; e.g., Grondin, 2010; Ivry & Hazeltine, 1995; Chapters 2 and 4, this volume). Early studies of temporal preparation focused on the behavioral effects that the manipulation of the “foreperiod” (timing during which a warning signal precedes a target stimulus) had on participants’ performance (Woodrow, 1914). Subsequent studies investigated whether temporal preparation could be voluntarily acquired following a symbolic and predictive temporal cue (e.g., Coull & Nobre, 1998; Miniussi, Wilding, Coull, & Nobre, 1999; Nobre, 2001). More recent work has explored temporal preparation driven by the presentation of regular rhythmic patterns (e.g., Cutanda, Correa, & Sanabria, 2015; Jones, Moynihan, MacKenzie, & Puente, 2002; Lange, 2010; Sanabria, Capizzi, & Correa, 2011). These complementary research approaches have identified the basic features of the temporal preparation effects that will be covered in the following sections of this chapter. Each section provides a brief description of one of the paradigms used to investigate temporal preparation along with an example of how to measure and interpret the behavioral data usually obtained in the studies employing such a paradigm. For a thorough review of the cognitive processes and neural mechanisms underlying temporal preparation, the reader is referred to Nobre and Coull (2010).
Substructuring for Contact Parameters Identification in Bladed-disks

Single stage bladed-disks are fundamental bricks of the rotating parts of a turbomachine. Although made of nominally identical sectors, the presence of imperfections or misalignment produces a large amplification of the forced response. Furthermore, due to their high modal density, friction dampers must be designed to mitigate resonance stresses, since a perfect detuning of the resonances from the excitation forces is impossible. Blade-root joints in these structures can provide the much-desired damping but the contact between the disk slot platform and blade-root lobes is characterized by uncertainty due to the actual locking position and machining tolerances. The cases of two simple beams and a bladed-disk test rig of an array of blades with dovetail root joints are studied to identify contact parameters. A dynamic Lagrange multiplier frequency based sub-structuring (LM-FBS) method is applied in a hybrid manner (experimental and numerical frequency response functions) to identify a parameter associated to each contact by mounting only one blade at a time. A sensitivity analysis is performed that will provide the basis for future work on non-linear frequency response prediction.
Investigation of Some Physicochemical and Microbiological Quality Parameters of Toast Cheese Sold Retail in Afyonkarahisar Province

Bu calismada Afyonkarahisar il merkezinde marketlerde satisa sunulan tost peynirlerinin fizikokimyasal ve mikrobiyolojik kaliteleri incelemistir. Orneklerin asitlik (pH) ve su aktivitesi (a w ) degerleri ortalama olarak, sirasiyla 4.89 ve 0.932 olarak belirlenmistir. Yapilan mikrobiyolojik analizler sonucunda; toplam aerobik bakteri, toplam aerobik psikrofilik bakteri, Maya Kuf, toplam koliform grubu bakteri, laktik asit bakteri sayilari, Lactococcus/Streptococcus spp. , Pseudomonas spp. , Staphylococcus aureus, Bacillus cereus ortalama sayilari ise sirasiyla; 5.81, 3.30, 4.14, 2.89, 4.69, 4.93, 4.74, 2.42 ve <2.00 log kob/g olarak tespit edilmistir. Ayrica orneklerin %24’unde Escherichia coli , %8’inde Clostridium perfringens , %18’inde Salmonella spp. cinsi, %12’sinde Listeria spp.cinsi bakteri varligi belirlemesine karsin orneklerin hicbirisinde Brucella spp. cinsi bakteri gelisimi tespit edilmemistir.
MECHANISM FOR DEVELOPING SCIENTIFIC CONCEPTS

One of the mechanisms for managing complex ideas is by blending [1] two types of knowledge: Knowledge from the domain that is the object of comprehension, and knowledge from another distinct domain that one uses to construe this comprehension. This is at the heart of the metaphorical process: to comprehend a more complex/abstract idea in terms of a more structured/concrete idea [2]. When we view a relatively complex idea in a new way, we create a narrative pattern, reducing the complexity of the idea by compression [3]. This is particularly important for science communication. In this study, we resort to the cognitive operation of blending [1] to work out a mechanism for modelling the narrative patterns underlying the effective elaboration and communication of scientific concepts. Specifically, we use the following conceptual constructs: image-schema [4], conceptual metaphor [2] and frame [5], laboured together under conceptual blending. These constructs are among the most productive ways of combining and extending abstract concepts, which are important cognitive operations for anchoring the development of scientific concepts. To illustrate our analysis we select a set of scientific concepts that express distinct types of process from two areas of knowledge: Biology and Human Sciences. We analyze how these concepts were developed by bridging the gap between the communication process evoked by linguistic material (through the interpretation of the text genre) and the research process invoked in the reader ́s mind that anchored the linguistic development. Throughout this analysis we show a mechanism for developing scientific concepts, which not only facilitates the communication process but also triggers the creative process, completing the research cycle.