Miracle-dz/UniFAR-FTUs huggingface dataset:
Join order algorithm using predefined optimal join order

This paper proposes an optimization algorithm named Join Order Algorithm Using Predefined Optimal Join Order or is called JAPO algorithm to optimize join cost. Optimal join order solutions for all possible join patterns are predefined and stored in a file using Dynamic Programming with Memorization technique or is called DPM algorithm. JAPO algorithm searches join order solutions from the predefined optimal join orders using hash function instead of traversing all search space. Experiments are conducted and join costs obtained by JAPO algorithm are compared with DPM algorithm and greedy algorithm named GOO. The experimental results show that JAPO algorithm with polynomial time complexity obtains almost 100 percent of optimal join order solutions. DPM algorithm obtains 100 percent of optimal join order solutions with factorial time complexity. GOO algorithm with polynomial time complexity obtains sub-optimal solutions and number of optimal solutions obtained by GOO algorithm decreases when number of relations to be joined is increased.
Structural and Optical Properties of (PVA-PAA-FW) Composites

The aims of this paper are preparation of polyvinyl alcoholpoly-acrylic acidfiber of wheat composites with different for fiber of wheat concentrations by using casting technique and study their optical properties. The results show that the optical properties are changed with increase the fiber of wheat concentrations. The absorbance of (PVA-PAA-FW) composites is increased with increase the fiber of wheat concentrations. The absorption coefficients, extinction coefficient, refractive index, real and imaginary dielectric constants of (PVA-PAA-FW) composites are increasing with increasing the fiber of wheat concentrations. The energy band gap of composites is decreased with increase the fiber of wheat concentrations. Keyword: composites, fiber, poly-acrylic acid, optical properties.
Using Automated Scoring to Evaluate Written Responses in English and French on a High-Stakes Clinical Competency Examination

We present a framework for technology-enhanced scoring of bilingual clinical decision-making (CDM) questions using an open-source scoring technology and evaluate the strength of the proposed framework using operational data from the Medical Council of Canada Qualifying Examination. Candidates’ responses from six write-in CDM questions were used to develop a three-stage–automated scoring framework. In Stage 1, the linguistic features from CDM responses were extracted. In Stage 2, supervised machine learning techniques were employed for developing the scoring models. In Stage 3, responses to six English and French CDM questions were scored using the scoring models from Stage 2. Of the 8,007 English and French CDM responses, 7,643 were accurately scored with an agreement rate of 95.4% between human and computer scoring. This result serves as an improvement of 5.4% when compared with the human inter-rater reliability. Our framework yielded scores similar to those of expert physician markers and could be used for clinical competency assessment.
Power Flow Control in Power System u Device Thyristor Controlled Series Capacitor (TCSC): A Review

In a modern day’s power system have been growing due to increase of demand and loads, it’s getting more and more difficult to provide stability and control. In this paper an overview to general type of FACTS controller and performance of TCSC is given. The FACTS devices play an important role to improve the performance of power system. This paper the study of TCSC with various mo operation is investigated and applications, advantages of FACTS. TCSC controller can be designed to control the power flow, increase the transmission limit or improve the stability and also increase synchronization of power and provide the continuous variabl and impedance. This paper proposed the control scheme of TCSC for power flow control compensation and TCSC module. TCSC consist of back to back thyristor. By changing the firing angle of this back to back thyri possible to vary the reactance of the TCSC as per TCSC characteristics. In inductive region power flow decreases and in capacitive region power flow increasing.
Spatial Patterns in Domestic Violence and HIV Prevalence in Nigeria

We explore the spatial patterns of domestic violence and HIV prevalence between states in Nigeria using the 2008 Demographic and Health Survey and the 2010 ANC Sentinel Surveillance Survey. The analysis revealed a sizeable number of women in the country suffer physical and sexual violence which occurs across the social strata and ethnic groups in Nigeria. Based on the previous studies that have already established a link between domestic violence and declining in health status of women, the paper examines the linkage between domestic violence and HIV prevalence in Nigeria. We found spatial linkage between the two concepts or variables though we did not establish a causal relationship. We found women in states with a high HIV prevalence rate had either experienced physical and/or sexual violence from their spouses. Based on the results, it shows that there is a need to further explore the causal relationships between domestic violence and health outcomes especially HIV infections. Thus, the spatial linkage between domestic violence and HIV prevalence in Nigeria will be highly context-specific. The study demonstrated a spatial interrelationship between domestic violence and HIV prevalence, thus, planning HIV prevention programming should also design activities or intervention to concurrently address the domestic violent aspects. Since it has been documented and current attempts reveal a connection between domestic violence and HIV infection in Nigeria, there is a need for further research to investigate the relationship between domestic violence and HIV in Nigeria to increase the evidence.
Linguistic Pythagorean fuzzy sets and its applications in multiattribute decision‐making process

In this article, a new linguistic Pythagorean fuzzy set (LPFS) is presented by combining the concepts of a Pythagorean fuzzy set and linguistic fuzzy set. LPFS is a better way to deal with the uncertain and imprecise information in decision making, which is characterized by linguistic membership and nonmembership degrees. Some of the basic operational laws, score, and accuracy functions are defined to compare the two or more linguistic Pythagorean fuzzy numbers and their properties are investigated in detail. Based on the norm operations, some series of the linguistic Pythagorean weighted averaging and geometric aggregation operators, named as linguistic Pythagorean fuzzy weighted average and geometric, ordered weighted average and geometric with linguistic Pythagorean fuzzy information are proposed. Furthermore, a multiattribute decision‐making method is established based on these operators. Finally, an illustrative example is used to illustrate the applicability and validity of the proposed approach and compare the results with the existing methods to show the effectiveness of it.
CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing

Following the development of the universal dependencies (UD) framework and the CoNLL 2017 Shared Task on end-to-end UD parsing, we address the need for a universal representation of morphological analysis which on the one hand can capture a range of different alternative morphological analyses of surface tokens, and on the other hand is compatible with the segmentation and morphological annotation guidelines prescribed for UD treebanks. We propose the CoNLL universal lattices (CoNLL-UL) format, a new annotation format for word lattices that represent morphological analyses, and provide resources that obey this format for a range of typologically different languages. The resources we provide are harmonized with the two-level representation and morphological annotation in their respective UD v2 treebanks, thus enabling research on universal models for morphological and syntactic parsing , in both pipeline and joint settings, and presenting new opportunities in the development of UD resources for low-resource languages.
Estimating the Value of Improved Distributed Photovoltaic Adoption Forecasts for Utility Resource Planning

Author(s): Gagnon, P; Barbose, GL; Stoll, B; Ehlen, A; Zuboy, J; Mai, T; Mills, AD | Abstract: Misforecasting the adoption of customer-owned distributed photovoltaics (DPV) can have operational and financial implications for utilities; forecasting capabilities can be improved, but generally at a cost. This paper informs this decision-space by using a suite of models to explore the capacity expansion and operation of the Western Interconnection over a 15-year period across a wide range of DPV growth rates and misforecast severities. The system costs under a misforecast are compared against the costs under a perfect forecast, to quantify the costs of misforecasting. Using a simplified probabilistic method applied to these modeling results, an analyst can make a first-order estimate of the financial benefit of improving a utility’s forecasting capabilities, and thus be better informed about whether to make such an investment. For example, under our base assumptions, a utility with 10 TWh per year of retail electric sales who initially estimates that DPV growth could range from 2% to 7.5% of total generation over the next 15 years could expect total present-value savings of approximately $4 million if they could reduce the severity of misforecasting to within ±25%. Utility resource planners can compare those savings against the costs needed to achieve that level of precision, to guide their decision on whether to make an investment in tools or resources.
Neuromorphic data microscope

In 2016, Lewis Rhodes Labs, (LRL), shipped the first commercially viable Neuromorphic Processing Unit, (NPU), branded as a Neuromorphic Data Microscope (NDM). This product leverages architectural mechanisms derived from the sensory cortex of the human brain to efficiently implement pattern matching. LRL and Sandia National Labs have optimized this product for streaming analytics, and demonstrated a 1,000x power per operation reduction in an FPGA format. When reduced to an ASIC, the efficiency will improve to 1,000,000x. Additionally, the neuromorphic nature of the device gives it powerful computational attributes that are counterintuitive to those schooled in traditional von Neumann architectures. The Neuromorphic Data Microscope is the first of a broad class of brain-inspired, time domain processors that will profoundly alter the functionality and economics of data processing.
Globalization Lead to Segmentation ?

Economic historians have stressed that income convergence was a key feature of the OECD-cluband that globalization was among the accelerating forces of this process in the long-run. This view has however been challenged, since it su¤ers from an ad hoc selection of countries. In the paper, a mixture model is applied to a sample of 64 countries to endogenously analyze the cross-country growth behavior over the period 1870-2003. Results show that growth patterns were segmented in two worldwide regimes, the rst one being characterized by convergence, and the other one denoted by divergence. Interestingly, when three historical epochs are analyzed separately (1870-1913; 1913-1950; and 1950-2003), the dynamics which come to dominate over the whole period emerged only during the post-1950 years. In contrast, the First Global Wave was marked by global divergence. Therefore, history does not provide unambiguous evidence about globalization and convergence. Keywords: Globalization; Economic growth; Income convergence; Multiple regimes; Mixture models. JEL Classi cations: C52, N10, O47. Previous versions of the work were presented at the Annual Conference of the Economic History Society, University of Warwick, April 3-5, 2009; at the 3rd Italian Congress of Econometrics and Empirical Economics, Università Politecnica delle Marche, Ancona, January 30-31, 2009; and at the 3rd Sound Economic History Workshop, Gothenburg University, October 3-4, 2008. We wish to thank Jan Bohlin, Peter Howlett, Paul Sharp, Jacob Weisdorf and all the participants to the di¤erent meetings. We are also grateful to Jörg Baten, Oded Galor, Paolo Malanima and Joseph Zeira for useful comments and suggestions. Usual disclaimers apply. yCorresponding author. Faculty of Economics, LUISS Guido Carli. Address: Viale Romania 32, 00197 Roma, Italy. Tel. : +39 06 85225949. Fax: +39 06 5225919. E-Mail: gdivaio@luiss.it. zDepartment of Economics, Finance and Statistics. University of Perugia. Address: Via A. Pascoli 20, 06123 Perugia, Italy. xDepartment of Economic History, Lund University. Address: Box 70 83, 220 07 Lund, Sweden.
Distributed semi‐adaptive compressive sensing data collection in wireless sensor networks

Recently, many researches have been conducted to exploit the compressive sensing (CS) theory in wireless sensor networks (WSNs). One of the most important goals in CS is to prolong the lifetime of WSNs. But CS may suffer from some errors during the reconstruction phase. In addition, an adaptive version of CS named Bayesian compressive sensing has been studied to improve the reconstruction accuracy in WSNs. This paper investigates these adaptive methods and identifies their associated problems. Finally, a distributed and semi‐adaptive CS‐based data collection method is proposed. The proposed method tackles the aforementioned problems. Simulation results show that considering both lifetime and accuracy factors as a compound metric, the proposed method yields a 200% improvement compared with the Bayesian compressive sensing‐based method and outperforms other compared methods in the literature.
Development of a MODIS tree cover validation data set for Western Province , Zambia

One of the annual land cover products to be made from Moderate Resolution Imaging Spectroradiometer (MODIS) data is the vegetation continuous fields layers. Of these fields, one is a global percent tree cover map. Using field measurements, IKONOS data, Enhanced Thematic Mapper Plus (ETM+) data, and ancillary map sources, a tree cover map was made and validated for two WRS path/rows in Western Province, Zambia. This map will be used in validating the 500-m global MODIS tree cover product. The map was made at the 30-m Enhanced Thematic Mapper Plus (ETM+) resolution and also scaled up to 250and 500-m resolutions. Five IKONOS images were classified into crown cover/no crown cover maps at 4-m resolution. These maps were aggregated to 30 m to create a continuous training data set of percent crown cover. Three dates of ETM+ data were acquired to predict percent crown cover using a regression tree algorithm. Comparisons of training accuracies and field data to ETM+ tree estimates yielded root mean square errors (rmse) of fF 10% crown cover. When aggregating the 30-m map to 250and 500-m MODIS cell sizes, the training errors are more than halved. The final 250-m map was assessed using a structural vegetation map of the area and an overall rmse of 8.5% is estimated. The 250-m map was sampled and used to derive a tree cover continuous field product using 3 Level 1B MODIS time slices, approximating the acquisitions of the ETM+ data. The results are promising as an overall root mean square error between the ETM+ derived tree crown cover map and an aggregated MODIS 500-m map was 5.2%. Results from this test in Zambia show that the MODIS 250-m bands should allow for improved depictions of percent tree cover. D 2002 Elsevier Science Inc. All rights reserved.
Hot heads , cool heads , and tacticians : Measuring the mental game in tennis ( ID : 1464 )

It is often said that winning in tennis is asmuch amental game as a physical one, yet there has been little quantitative study into the mental side of tennis. We present an approach to identify mentalities in tennis with dynamic response patterns that quantify how a player’s probability of winning a point varies in response to the changing situations of a match. Using 3 million points played by professional male and female tennis players between 2011 and 2015, we found that, on average, players were affected by the state of the score and a variety of pressure situations: exhibiting hot hand effects when ahead, defeatist effectswhen down, and performing less effectively in clutch situations. Player-speci ic performance patterns suggested a diversity of player mentalities at the elite level, with subgroups of players respondingmore or less effectively to pressure, score history, and other match situations. One of the patterns found on the men’s tour included four of the most decorated players in the current game, the ‘Big Four’, suggesting a champion’s mentality that was characterized by cool-headedness on serve and adaptability on return. Accounting for player mentalities improved predicted outcomes of matches, substantiating the importance of the mental game for success in tennis.
Barrett ’ s oesophagus screening and surveillance

Endoscopic screening and surveillance of patients with Barrett’s oesophagus to detect oesophageal cancer at earlier stages is contentious. As a consequence, their costeffectiveness is also debatable. Current health economic evidence shows mixed results for demonstrating their value mainly due to varied assumptions around progression rates to cancer, quality of life and treatment pathways. No randomised controlled trial exists to definitively support the efficacy of surveillance programs and one is unlikely to be undertaken. Contemporary treatment, cost and epidemiological data to contribute to costeffectiveness analyses are needed. Risk assessment to stratify patients at lowor high-risk of developing cancer should improve cost-effectiveness outcomes as higher gains will be seen for those at higher risk, and medical resource use will be avoided in those at lower risk. Rapidly changing technologies for imaging, biomarker testing and less-invasive endoscopic treatments also promise to lower health system costs and avoid adverse events in patients.
Porosity measurements of interstellar ice mixtures using optical laser interference and extended effective medium approximations

Aims. This article aims to provide an alternative method of measuring the porosity of multi-phase composite ices from their refractive indices and of characterising how the abundance of a premixed contaminant (e.g., CO2) affects the porosity of water-rich ice mixtures during omni-directional deposition. Methods. We combine optical laser interference and extended effective medium approximations (EMAs) to measure the porosity of three astrophysically relevant ice mixtures: H2O:CO2=10:1, 4:1, and 2:1. Infrared spectroscopy is used as a benchmarking test of this new laboratory-based method. Results. By independently monitoring the O-H dangling modes of the different water-rich ice mixtures, we confirm the porosities predicted by the extended EMAs. We also demonstrate that CO2 premixed with water in the gas phase does not significantly affect the ice morphology during omni-directional deposition, as long as the physical conditions favourable to segregation are not reached. We propose a mechanism in which CO2 molecules diffuse on the surface of the growing ice sample prior to being incorporated into the bulk and then fill the pores partly or completely, depending on the relative abundance and the growth temperature.
Influence of the nutrition and health information presented on food labels on portion size consumed: a systematic review

Context In recent decades, portion sizes have increased significantly. Although previous research indicates that food labels impact on product choice and healthiness perception, their impact on portion sizes consumed is less clear. Objective This systematic review examined whether food label information influenced portion size consumption. Data sources A search of 7 major electronic databases for studies published from 1980 to April 2016 was conducted. Data extraction Two reviewers independently screened 11 128 abstracts. Data were extracted from 32 articles (comprising 36 studies). Results Based on the test food used, the overall effects were found to be: no effect, a positive effect, or a negative effect. Labels displaying energy content (n = 15 studies, 17 effects) and fat content information (n = 13 studies, 14 effects) were evaluated most commonly, with exercise equivalent labels evaluated least (n = 2 studies, 2 effects). Conclusions Nutrition and health information presented on food labels has varying impacts on portion sizes consumed, from increased to decreased intake. Recommendations for future research include evaluating more recent food label types and achieving more consistent reporting standards.
Robust energy efficiency power allocation algorithm for cognitive radio networks with rate constraints

Most of traditional power allocation algorithms in the cognitive radio networks (CRNs) are often based on the assumption of perfect channel estimation. We investigate the power allocation algorithm by considering channel gain uncertainty where a primary ad-hoc network working in parallel with a secondary ad-hoc network. Reducing interference and saving energy are essential in radio resource management of cognitive radio networks. The objective is to minimum transmit power while guaranteeing both acceptable transmission data rate for secondary users (SUs) and interference constraints for primary users (PUs). Imperfect channel state information is considered by ellipsoid sets and the problem can be formulated to a second-order cone programming problem. We can solve the robust power allocation problem by a distributed algorithm efficiently. Numerical results verify that the proposed algorithm with rate constraints can get higher transmission performance for SUs.
Towards Language Technology for Mi’kmaq

Mi’kmaq is a polysynthetic Indigenous language spoken primarily in Eastern Canada, on which no prior computational work has focused. In this paper we ﬁrst construct and analyze a web corpus of Mi’kmaq. We then evaluate several approaches to language modelling for Mi’kmaq, including character-level models that are particularly well-suited to morphologically-rich languages. Preservation of Indigenous languages is particularly important in the current Canadian context; we argue that natural language processing could aid such efforts.
The disorderly conduct of Hsc70 and its interaction with the Alzheimer's-related Tau protein

Hsp70 chaperones bind to various protein substrates for folding, trafficking, and degradation. Considerable structural information is available about how prokaryotic Hsp70 (DnaK) binds substrates, but less is known about mammalian Hsp70s, of which there are 13 isoforms encoded in the human genome. Here, we report the interaction between the human Hsp70 isoform heat shock cognate 71-kDa protein (Hsc70 or HSPA8) and peptides derived from the microtubule-associated protein Tau, which is linked to Alzheimer's disease. For structural studies, we used an Hsc70 construct (called BETA) comprising the substrate-binding domain but lacking the lid. Importantly, we found that truncating the lid does not significantly impair Hsc70's chaperone activity or allostery in vitro. Using NMR, we show that BETA is partially dynamically disordered in the absence of substrate and that binding of the Tau sequence GKVQIINKKG (with a KD = 500 nm) causes dramatic rigidification of BETA. NOE distance measurements revealed that Tau binds to the canonical substrate-binding cleft, similar to the binding observed with DnaK. To further develop BETA as a tool for studying Hsc70 interactions, we also measured BETA binding in NMR and fluorescent competition assays to peptides derived from huntingtin, insulin, a second Tau-recognition sequence, and a KFERQ-like sequence linked to chaperone-mediated autophagy. We found that the insulin C-peptide binds BETA with high affinity (KD < 100 nm), whereas the others do not (KD > 100 μm). Together, our findings reveal several similarities and differences in how prokaryotic and mammalian Hsp70 isoforms interact with different substrate peptides.