Miracle-dz/UniFAR-FTUs huggingface dataset:
Minimizing the Sub Threshold Leakage for High Performance CMOS Circuits Using Stacked Sleep Technique

In CMOS circuits, the reduction of the threshold voltage due to voltage scaling leads to increase in sub threshold leakage current and hence, static power dissipation. For the most recent CMOS feature sizes (e.g., 45nm and 65nm), leakage power dissipation has become an overriding concern for VLSI circuit designers. ITRS reports that leakage power dissipation may come to dominate total power consumption [1]. In the nanometer technology regime, power dissipation and process parameter variations have emerged as major design considerations. These problems continue to grow with leakage power becoming a dominant form of power consumption. Leakage power dissipation is projected to grow exponentially in the next decade according to the International Technology Roadmap for Semiconductors (ITRS). This directly affects portable battery operated devices such as cellular phones and PDAs since they have long idle times. Several techniques at circuit level and process level are used to efficiently minimize leakage current which lead to minimize 324 Kalasapati Bindu Madhavi, Mamidala Pallavi and Velicharla Moshe Rani the power loss and prolong the battery life in idle mode. This paper presents a technique for minimizing sub threshold leakage current using stacked sleep technique. Comparison is made with conventional CMOS, Sleepy stack, Forced stack, Sleepy keeper and the proposed body biased keeper which were analyzed using BSIM 4 model. The proposed technique dissipates lesser static power and lesser delay product compared to the previous technique. An improvement of 1.2X was observed in static power dissipation in comparison with conventional approach, thus maintaining the state of art of the logic in the digital circuit.
VALUERS ’ PERCEPTION ON THE CURRENT PRACTICE OF HERITAGE PROPERTY VALUATION IN MALAYSIA

This paper investigates the perception of government valuers in Malaysia regarding the current practice of heritage valuation. This stems from the fact that heritage property contributes towards the economic development of a country. As such, an effective method of valuation should be in practice. However, the literature review has revealed that there is no standard method being practiced for heritage property. Therefore, by adopting a qualitative approach, the government valuers had been interviewed in order to gain some insights on their practice and perceptions. The results indicate that the conventional method of comparison is the most preferable method due to market conditions. While, the factors of heritage have not been given a primary consideration in the current practice. The interviewees admit the importance of the factors. Hence, the government valuers welcome an innovative method that would allow a more effective approach of heritage valuation. This will push the current research to next stage of innovating a mixed method for heritage property valuation.
Event-Study Methodology : Correction for Cross-Sectional Correlation in Standardized Abnormal Return Tests *

Standardized methods by Patell (1976) and Boehmer, Musumeci, and Poulsen (1991) have been shown to outperform traditional, non-standardized tests in event studies. However, standardized tests are valid only if there are no cross-sectional correlations between the observations’ returns. In this paper we propose simple corrections to these test statistics to account for such correlation. To demonstrate the usefulness of correcting for cross-sectional correlations in standardized abnormal return tests, we conduct simulation analyses of abnormal stock return performance using daily returns. The simulation results show that even moderate cross-sectional correlation in the residual returns causes substantial over-rejection of the null hypothesis by the original statistics. Results for the corrected statistics reject the null hypothesis on average at around the nominal rate.
Investigating profitability differences between hotel MNEs and DMEs in South Mediterranean European countries

The aim of the paper is to investigate the profitab ility differences between hotel multinational enterprises’ subsidiaries and domesti c firms in France, in Italy, in Spain, in Greece and in Portugal. The data permits a comparison between a group of MNEs subsidiaries and a group of DMEs for the pe riod 2000 – 2009. An econometric model has been employed to find support f r the ownership advantages model of foreign production. Estimation results indicate that multinationality has a positive impact on firms’ pe rformance. The analysis also reveals that the determinants of performance of MNE s and DMEs partially differ.
Sherpa: Leveraging User Attention for Computational Steering in Visual Analytics

We present Sherpa, a computational steering mechanism for progressive visual analytics that automatically prioritizes computations based on the analyst’s navigational behavior in the data. The intuition is that navigation in data space is an indication of the analyst’s interest in the data. Sherpa implementation provides computational modules, such as statistics of biological inferences about gene regulation. The position of the navigation window on the genomic sequence over time is used to prioritize computations. In a study with genomic and visualization analysts, we found that Sherpa provided comparable accuracy to the offline condition, where computations were completed prior to analysis, with shorter completion times. We also provide a second example on stock market analysis.
DETERMINATION OF ORGANOPHOSPHORUS PESTICIDES IN LIVER SAMPLES USING AN OPTICAL BIOSENSOR

Biosensors are a promising alternative of the existing chromatographic methods as GC, HPLC, etc. They are fast, easy to use and provide fully acceptable values of monitoring like sensitivity, LOD, LOQ, etc. In order to construct an optical biosensor, AChE is immobilized as a target enzyme for оrganophosphorus pesticides (OPPs) onto new membranes synthesized by a sol-gel technology. The designed biosensensor is tested for determination of chlorpyrifos-methyl, parathion, pirimiphos-methyl and diazinon in liver samples. An appropriate method for sample preparation is also developed. The new method is validated in accordance with document SANTE/11945/2015 covering the required criteria for pesticides determination. The biosensor developed can detect levels lower than 30μg/ kg. The latter is the maximum residue limit (MRL) for pesticides in food. Km of 2,2x10-3M for acetylcholine and 4 months life-time of the biosensor are obtained.
ROP: MATRIX RECOVERY VIA RANK-ONE PROJECTIONS1 BY T. TONY CAI

Estimation of low-rank matrices is of significant interest in a range of contemporary applications. In this paper, we introduce a rank-one projection model for low-rank matrix recovery and propose a constrained nuclear norm minimization method for stable recovery of low-rank matrices in the noisy case. The procedure is adaptive to the rank and robust against small perturbations. Both upper and lower bounds for the estimation accuracy under the Frobenius norm loss are obtained. The proposed estimator is shown to be rate-optimal under certain conditions. The estimator is easy to implement via convex programming and performs well numerically. The techniques and main results developed in the paper also have implications to other related statistical problems. An application to estimation of spiked covariance matrices from one-dimensional random projections is considered. The results demonstrate that it is still possible to accurately estimate the covariance matrix of a high-dimensional distribution based only on onedimensional projections.
BODY ARMOUR WITH POWER STORAGE CAPABILITIES

Adding shear thickening fluid (STF) into ballistic fabrics to create “liquid body armour” to improve kinetic impact resistance has been proven. Here, for the first time, we have tried to turn “liquid body armour” into a battery system which is not only able to supply power, but also to provide protection against bullet impacts. Such multifunctional energy storage systems can share space and weight with existing body armour. Batteries with different combinations of Kevlar-based electrodes, Kevlar separator and shear thickening electrolytes have been assembled and their electrochemical performance was investigated. They demonstrated reasonable charge/discharge capacities. The concept of a kinetic impact resistant battery, combination of Kevlar electrodes with Kevlar separator, or Kevlar separator with STF electrolyte, has been demonstrated. However, some technical issues such as the moisture retained inside the Kevlar electrodes need to be addressed in order to improve the
Semiparameteric Estimation of Equivalence Scales Using Subjective Information by Bertrand Melenberg and

Household equivalence scales are not identified from consumer demand data alone. We estimate household equivalence scales using two types of subjective information. First, we use the answers to questions on the income required to attain a given utility level. This is the type of information often used in this type of research. We compare the results for the usual linear model with semiparametric estimates, in which the functional form of the relationship between required income and family size and actual income is left unspecified. Second, we use answers to the question: how satisfied are you with actual household income? We present parametric and semiparametric estimates for the ordered response model explaining this discrete variable, which has possible outcomes 1,2,. ,10. We find that according to the second type of information, costs of children are much larger than according to the first. ______________ * We are grateful to Marcel Das for his help and to Arie Kapteyn and participants at the HCM conference on Microeconomics of Public Policy in Leuven for useful comments. Statistics Netherlands (CBS) has kindly provided the data. Financial support by the Royal Netherlands Academy of Arts and Sciences (KNAW) is gratefully acknowledged by the second author.
Fair Value Accounting: measurements of biological assets in praxis and perspectives of accounting professionals in the Brazilian sugarcane sector

This study aimed to analyze the context of fair value measurements of biological assets under the accounting professionals’ perspective from the Brazilian sugarcane sector. Secondly, verifying the existence of clusters among the participants of the study and also checking whether or not there is a relationship between the accounting professional’s profile and his perception of the impacts on the measurement of biological assets. A field study was carried out utilizing a survey with qualitative and quantitative approach, involving cluster analysis, content analysis and Fisher’s exact test, considering a population sample of 32 accounting professionals from the sector. From the cluster analysis it was possible to identify the existence of three professional groups with similar characteristics of profile and perception of impacts brought by IAS nº 41. The quantitative analysis shows that the professionals that work in plants located in states with high or low concentration of sugarcane productive chain perceive the rule distinctively. The qualitative analysis suggest that there are two views, one against and the other in favor of the rule, showing that there is not a consensus when it comes to enforcing the rule in the sector. As few studies attempt to analyze the impact, advantages and disadvantages from the accountant’s point of view, this study contributes to fill out this gap. This study offers insights to the governing entities on the necessity of a greater practical detailing and problems related to the acceptance of the rule in Brazil.
The FBK system for the 2019 Spoken CALL Shared Task

This paper describes the systems developed by FBK for the 2019 Spoken CALL Shared Task, that requires to automatically grade Swiss students, speaking German, that have to answer in English to German prompts. All answers are automatically transcribed, using an Automatic Speech Recognition (ASR) system, and labelled as accept or reject by a classiﬁer. We developed an improved version of the baseline ASR system (made available by the organizers of the challenge), that has been used to produce better automatic transcriptions, from which a set of linguistic features are derived. Then, features vectors, computed at sentence level, are fed into a neural network based classiﬁer that predicts the labels. In this paper we describe the details of the developed ASR system, as well as the set of features used in the accept/reject classiﬁcation task. We also discuss the impact of subsets of features on the ﬁnal classiﬁcation performance.
Photonuclear Data Library 2019

T. Kawano, ∗ Y. S. Cho, P. Dimitriou, D. Filipescu, N. Iwamoto, V. Plujko, X. Tao, H. Utsunomiya, V. Varlamov, R. Xu, R. Capote, I. Gheorghe, O. Gorbachenko, Y.L. Jin, T. Renstrøm, K. Stopani, Y. Tian, G. M. Tveten, J.M. Wang, T. Belgya, R. Firestone, S. Goriely, J. Kopecky, M. Krtička, R. Schwengner, S. Siem, and M. Wiedeking Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA Nuclear Data Center, Korea Atomic Energy Research Institute, Daedeok-Daero 989-111, Yuseong-gu, Daejeon, Korea NPAC-Nuclear Data Secion, International Atomic Energy Agency, PO Box 100, 1400 Vienna, Austria Horia Hulubei National Institute for Physics and Nuclear Engineering (IFIN-HH), 30 Reactorului, Bucharest-Magurele 077125, Romania Nuclear Data Center, Japan Atomic Energy Agency, Tokai-mura, Ibaraki 319-1195, Japan Nuclear Physics Department, Taras Shevchenko National University, Kyiv, Ukraine China Nuclear Data Center, China Institute of Atomic Energy, P.O. Box 275(41), Beijing 102413, China Department of Physics, Konan University, Okamoto 8-9-1, Higashinada, Kobe 658-8501, Japan Lomonosov Moscow State University, Skobeltsyn Institute of Nuclear Physics, Moscow 119991, Russia University of Oslo, Sem Saelands vel 24, P.O. Box 1048, Oslo 0316, Norway Centre for Energy Research, Hungarian Academy of Sciences, Konkoly Thege Miklos 29-33, 1525 Budapest, Hungary University of California, Berkeley CA 94720, USA Institut d’Astronomie et d’Astrophysique, Université Libre de Bruxelles, Campus de la Plaine, CP 226, 1050 Brussels, Belgium JUKO Research, Kalmanstraat 4, Alkmaar 1817, The Netherlands Charles University, V Holešovičkách 2, 18000 Prague, Czech Republic Helmholtz Zentrum Dresden-Rossendorf, Bautzner Landstrasse 400, 01328 Dresden, Germany iThemba LABS, P.O. Box 722, Somerset West, 7129, South Africa (Dated: August 2, 2019; Received xx July 2018; revised received xx September 2018; accepted xx October 2018)
Spatial Entity Matching with GeoAlign (demo paper)

Points of interest (POI) are central in many applications such as tourism, itinerary search, crisis management. Cartographic providers usually represent these POI with a spatial entity. However, the description of these entities may significantly vary from one provider to another (e.g., missing properties, outdated information, conflicting values). Spatial entity matching (or record linkage) aims at detecting correspondences between entities referring to the same POI. Most existing approaches have a fixed function for combining similarity measures, thus limiting customization. Besides, evaluating the matching quality is a difficult task since a ground truth dataset cannot be built for all entities and providers. In this paper, we describe GeoAlign, an application that allows fine-grained tuning for spatial entity matching. A merging step is also provided using different strategies. Finally, we propose to estimate the quality of correspondences based on the differences between combination functions and to visualize this estimation in GeoAlign.
AGRONOMIC PERFORMANCE OF HARD RED WINTER WHEAT LINES INTROGRESSED WITH THE Fhb 1 GENE

Bread wheat (Triticum aestivum L.) is cultivated on about 240 million ha worldwide (Enghiad et al., 2017) and is a staple food crop for 40% of the world’s population (Pandey et al., 2019) and it is estimated that about 21.5% of the crop’s production is lost to disease or insect pests (Savary et al., 2019). US winter wheat producers of the Great Plains must annually contend with the potential economic losses caused by Fusarium head Blight (FHB). The most common causing pathogen of FHB is Fusarium graminearum Schwabe [teleomorph Gibberella zeae (Schweinitz) Petch] (Goswami and Kistler, 2004; Hernandez-Nopsa et al., 2014; McCartney et al., 2016). Grain yield and end-use quality losses resulting from infected plants include sterility of the florets, formation of discolored and shrunken kernels (“tombstone” kernels), and low grain volume weight (Tuite et al., 1990; McMullen et al., 1997; Dexter and Nowicki, 2003; Panthi et al., 2014). Diseased kernels may also contain significant levels of mycotoxins (primarily deoxynivalenol) that are hazardous to animal and human health, thus making the grain unfit for food and feed (McMullen et al., 1997; Bai et al., 2001; Sallam et al., 2017). Nganje et al. (2001) reported direct and secondary economic losses due to FHB for hard red spring (T. aestivum), soft red winter and durum wheat (T. durum L.), and barley (Hordeum vulgare L.) in the Northern Great Plains and Central United States at an estimated loss of $2.7 billion from 1998 to 2000 alone. North American epidemics of FHB have periodically caused significant losses in wheat and barley throughout the 20 century (Leonard and Bushnell, 2003), and now, FHB is recognized as a disease of economic significance worldwide (Steiner et al., 2017). In the mid-1990s, there were severe FHB epidemics of varying intensities in the US (Windels, 2000). In Nebraska, FHB was first reported in 1898. Climate in Nebraska often favors FHB epidemics especially in eastern Nebraska where higher rainfall occurs during wheat flowering stage and early grain filling stage. In the past, major FHB epidemic years included 1957 and 1982, with the most resent FHB epidemic occurring in 2007 (http://www.ianrpubs.unl.edu/epublic/live/ec1896/build/ ec1896.pdf, verified Mar. 14, 2018). The pathogen survives on crop residues (Haran et al., 2010) and soil, so there is always the potential for an FHB outbreak in the state when rain occurs at anthesis and early grain filling stage. Several strategies have been described to alleviate losses caused by FHB (Wegulo et al., 2015). These strategies include cultural practices, chemical and biological control, planting resistant or tolerant cultivars, crop rotation, disease monitoring and improving harvesting strategies such as separating diseased kernels through combine harvester or seed cleaners. Most of these practices are only partially Pak. J. Agri. Sci., Vol. 56(3), 623-628; 2019 ISSN (Print) 0552-9034, ISSN (Online) 2076-0906 DOI: 10.21162/PAKJAS/19.7647 http://www.pakjas. com.pk
Analysis of Molecular Variance

Analysis of Molecular Variance (AMOVA) is a method for studying molecular variation within a species. The analysis of molecular variance (AMOVA) was used to study the patterns and degree of relatedness revealed by Multidimensional scaling and the Clustering dendrogram. Further it is used to summarize the population structure with the marker data from different genotypes, while remaining flexible enough to accommodate different types of assumptions about the evolution of the genetic system. Electrophoresis, one of the most widely used methods for studying the structure of DNA, produces marker data in the form of 0s and 1s where 1 denotes the presence of a band and zero its absence. The vector of such 0’s and 1’s is called DNA haplotype of the individual/variety. Recently, Analysis of Molecular Variance (AMOVA) is used to calculate the ‘between groups’ and ‘within groups’ variance. This technique treats genetic distances as deviations from a group mean position, and uses the squared deviations as variances. The total sums of squares of genetic distances can then be partitioned into components that represent the ‘within group’ and the ‘between-group’ sum of squares. The resulting test statistic ST is analogous to Wright’s FST, and is the ratio of the between-group mean square to the total mean square (Wright, 1951; Cockerham, 1973). ST represents the correlation between random genetic accessions within a group relative to random accessions from the population at large. This statistic can take values between 0 and 1; higher values indicate greater partitioning of the population into sub-groups.
DESIGN AND EVALUATION OF A TRANSDERMAL PATCH WITH ATORVASTATIN

A transdermal patch loaded with atorvastatin was developed in order to improve dyslipidaemia therapy and had good drug release for several days. This transdermal system can be used as a new alternative for the treatment of hypercholesterolemia. Transdermal patches (TP) were generated by the plate casting technique; the evaluated patches were generated using a factorial design to obtain the optimum formulation. The patches were characterized by differential scanning calorimetry (DSC), scanning electron microscopy (SEM), bioadhesion, post-wetting-bioadhesion, tensile strength, drug release studies and in vitro percutaneous absorption studies. The results obtained for optimal TP formulation showed good properties such as no interactions between drug and excipients in DSC studies, 1063.05 gf of bioadhesion and 995.9 gf for post-wettingbioadhesion, the tensile strength of 1307.5 gf, thickness of 0.43 mm, the SEM studies showed a porous matrix with no precipitates of the drug, good drug release adjusted to Higuchi model and a flux of atorvastatin of 8.6 μg/cm/h for percutaneous in vitro absorption. The optimal TP proved the release of atorvastatin during several days.
A New Control Strategy for Cascaded Multilevel Inverter with Reduced Number of Switches

For grid connection, it is troublesome to connect power converters directly. As a result, a multilevel power converter structure has been introduced as an alternative in high power and medium voltage situations.Among the various MultiLevel Inverter (MLI), Cascaded H Bridge MultiLevel Inverters (CHB-MLI) are gaining more importance because of their modularity and simplicity. The main drawback of the CHB-MLI is that it needs more than one isolated DC source. The CHB-MLI can’t be used when a single dc source is available. However, this drawback becomes a very good feature in case of PV systems, because PV arrays can be accumulated in a no. of separate generators.The main aim of this paper is to propose a novel single phase grid connected CHB-MLI with minimum no. of power electronic devices and isolated DC sources.Simulations are carried out in MATLAB/Simulink. The proposed inverter system offers the benefit of a reduced no. of switching devices and isolated DC sources when compared to the conventional CHB and MLISPC for the same no. of output levels.
voisTUTOR: Virtual Operator for Interactive Spoken English TUTORing

Second language (L2) learners of English could improve their pronunciation using automatic tutoring apps that provide detailed feedback. However, the availability of such apps are very few and, at most, the feedback from those apps are limited in the sense that they provide a minimal feedback for improving correct usage of phonemes. But, to achieve better pronunciation quality, the L2 learners are required to correctly place stress, intonation and pauses in their spoken utterances. In this demo, we present a self learning app called voIs TUTOR that provide more detailed feedback on correct usage of phonemes as well as stress, intonation and pauses. In this app, the feedback is provided speciﬁc to each of these four categories by showing a score representing learner’s quality as well as their mismatches with respect to expert’s pronunciation. We believe that this app could be useful to the learners who do not have easy access to effective spoken English training.