Miracle-dz/UniFAR-FTUs huggingface dataset:
Journée ATALA, 18–19 juin 1999, Corpus annotés pour la syntaxe CONSTRUCTION OF AN HPSG TREEBANK FOR POLISH

Cet article présente les aspects conceptuels et techniques concernant la construction d’un corpus annoté pour le polonais. Le corpus contient des phrases du polonais écrit représentées comme des structures AVM dans le cadre de formalisme HPSG. En plus, chaque phrase est annotés pour les types des phénomènes linguistiques illustrés. Car le corpus est aussi utilisé comme une base pour tester des grammaires (un test-suite), des phrases bien et mal formées sont inclues également. On décrit l’organisation technique de la base des données de corpus et des opérations sur cette base.
Chapter 2 Overview on Performance-Based Engineering Under Multihazard Environments 2

Historically, building codes have required that buildings be built to meet a minimum level of safety requirement. In current design practice, the code-based design is performed to search for a feasible design solution satisfying all prescriptive mostly empirical code specifications. However, buildings conforming to those codes have been seen a dramatic rise in earthquake-related losses. As estimated by the Federal Emergency Management Agency (FEMA) in 2000a, b and 2008, in the past 10 years total earthquake-related losses were twenty times larger than in the previous 30 years combined (FEMA 349; FEMA 2008) as shown in Fig. 2.1. FEMA’s expenditures related to earthquake losses have become an increasing percentage of its disaster assistance budget. Predictions are that future single earthquakes, which will inevitably occur, may result in losses of $50–100 billion each. Developers, stakeholders, and occupants have become painfully aware of the financial and social consequences of earthquakes and are demanding that practical and cost-effective means be developed to address the issues of damage control and loss reduction. Over the past several decades, leading structural engineers have promoted the development and application of performance-based seismic design (PBSD) concepts. The basic concept of PBSD is to provide engineers with the capability to design buildings that have a predictable and reliable performance in earthquake. In 1992, FEMA sponsored the development of national consensus guidelines for the seismic retrofit of buildings, the Applied Technology Council (ATC-33) project. This was the first attempt to standardize the performance-based approach. After that, the FEMA-273 (1997), National Earthquake Hazards Reduction Program (NEHRP) Guidelines for the seismic rehabilitation of buildings, provides nationwide acceptable guidelines for the seismic rehabilitation of buildings in the USA.
Graphical Modeling Environment for Logical User Interfaces Based on Eclipse GMF

This paper presents a graphical modeling environmen t for pattern and event based logical user interface modeling framework (PELUM), whose impleme ntation is based on Eclipse graphical modeling framework (GMF). Since each of GMF models naturally shows the internal architecture of any graphical modeling environment, we explain our designed GMF models to explain our tool implementation architecture. While GMF is a powerful framework, it has many undocumented or hidden problems that are difficult for novice GMF developers to find out and solve. This paper provides a reference guideline fo r any developers who want to build their own graphical modeling environment.
PERSISTENCE OF DINICONAZOLE AND ETOXAZOLE IN BROAD BEAN PODS, PEELS, SEEDS AND ITS PLANTED SOIL

Field experiments were conducted to investigate the persistence of diniconazole and etoxazole in broad bean pods, peels, seeds and soil. Samples were taken after zero, 1, 3, 5, 7, 9, 14 and 21 days after pesticides application. The diniconazole residue in plant samples was extracted by methanol, partition with dichloromethane, cleaned up using coagulation solution, while the soil samples were extracted with ethyl acetate. Estimation of diniconazole residues were performed by (GLCECD). Etoxazole was extracted from plant samples with acetone, and from soil samples using acetone: water (8: 2 v/v). The extract was partitioned with dichloromethane and cleaned-up through a florisil column. Determination of etoxazole residues were performed by HPLC-DAD. The recoveries of etoxazole and diniconazole were in the range between 81–99 %. The results indicated that the half– life values of diniconazole in pods, peels, seeds and soil were 2.46, 2.29, 5.25 and 5.56 days, respectively. While these values of etoxazole in pods, peels and soil were 2.27, 1.62 and 4.91 days, respectively. No residues of etoxazole could be detected in seeds. Diniconazole residue was below the MRL in seeds. The pre-harvest interval (PHI) of pods was in diniconazole application 9 days. And in case of etoxazole these were 11 days.
7 A 160 × 128 Single-Photon Image Sensor with On-Pixel 55 ps 10 b Time-to-Digital Converter

Image sensors capable of resolving the time-of-arrival (ToA) of individual photons with high resolution are needed in several applications, such as fluorescence lifetime imaging microscopy (FLIM), Förster resonance energy transfer (FRET), optical rangefinding, and positron emission tomography. In FRET, for example, typical fluorescence lifetime is of the order of 100 to 300ps, thus deepsubnanosecond resolutions are needed in the instrument response function (IRF). This in turn requires new time-resolved image sensors with better time resolution, increased throughput, and lower costs. Solid-state avalanche photodiodes operated in Geiger-mode, or single-photon avalanche diodes (SPADs), have existed for decades [1] but only recently have SPADs been integrated in CMOS. However, as array sizes have grown, the readout bottleneck has also become evident, leading to hybrid designs or more integration and more parallelism on-chip [2,3]. This trend has accelerated with the introduction of SPAD devices in deep-submicron CMOS, that have enabled the design of massively parallel arrays where the entire photon detection and ToA circuitry is integrated on-pixel [4,5].
High-Resolution Electrohydrodynamic Jet Printing of Molten Polycaprolactone

Polycaprolactone (PCL) is a biocompatible and biodegradable polymer that is commonly used in drug delivery systems, medical structures, and tissue engineering applications. Typical additive manufacturing methods of PCL structures for tissue engineering applications either require harsh organic solvents or are only capable of producing relatively large feature sizes, which are not compatible with some of the desired applications. Electrohydrodynamic jet (e-jet) printing, an additive manufacturing process which uses an electric field to induce jetting from a microcapillary nozzle, is an attractive method for producing PCL tissue engineering structures due to the achievable resolution and the ability to print highly viscous inks. In this work, experimental investigation into the ability to print pure, molten PCL using the e-jet process is carried out. A characterization of the process inputs that yield suitable printing regimes is presented. Demonstration of the achievable resolution with e-jet printing is presented in the form of printed, high-resolution structures.
- 1001 Time Reversed Smoke Simulation

Time Reversed Smoke Simulation Jeremy Michael Oborn Department of Computer Science, BYU Master of Science Physics-based fluid simulation often produces unpredictable behavior that is difficult for artists to control. We present a new method for art directing smoke animation using time reversed simulation. Given a final fluid configuration, our method steps backward in time generating a sequence that, when played forward, is visually similar to traditional forward simulations. This will give artists better control by allowing them to start from any timestep of the simulation. We address a number of challenges associated with time reversal including generating a believable final configuration and reversing entropy.
Building Electronic Health Record using Voice Recognition and Big Data Techniques

Electronic Health Record (EHR) is a foundation for any intelligent diagnose and medical data analytics. In our previous research, we discovered that the existing EHR in clinic mainly manually created by physicians are seriously fraud. They are too sample, containing serious mistakes and far from accurate. It causes great difficulties for any intelligent diagnose and medical data analyses. This paper reports our efforts in an attempt to automatic and semi-automatic EHR creation. We have adopted an advance AI techniques in voice recognition and text mining in order to build a prototype of “doctor’s assistant”, which can record conversations between a doctor and a patient, then the recorded voice file is further converted into a text file. With text mining techniques, the key symptom described by a patient is abstracted and converted into structured data. EHR will be generated automatically for doctors’ approval. This will greatly reduce doctors’ workload and increase the accuracy and quality of EHR.
Modern informational technologies for data analysis: from business analytics to data visualization

Modern informational technologies encompasses a variety of tools, applications and methodologies that enable to collect data from internal systems and external sources, prepare it for sharing, analysis, develop and run queries against the data, create reports, dashboards and data visualizations. One of such innovation system in financial landscape is Business intelligence. Its opportunities are in combining a broad set of data analysis applications, including analysis and querying, enterprise reporting of different statistic information, online and real-time analytical processing. Modern technologies also includes data visualization software and powerful environment to build interactive and visually appealing analytics to display the most important information needed to achieve one or more statistic objectives or to consolidate and arrange on a single screen the whole information on main factors of monetary policy, which can be monitored at a glance. Using such technologies enable to make ad hoc analysis of just published data and to refine statistics implications for monetary policies needs and users requirements as well.
Single and multiple stage classifiers implementing logistic discrimination

The logistic discrimination technique can be regarded as a partially parametric approach to pattern recognition. This method is general and robust because it doesn’t make assumptions on the underlying distribution of data. Moreover, it requires the estimation of fewer parameters than some better-known procedures such as the Gaussian maximum likelihood discriminator. In this paper, two different approaches to implement logistic discrimination are presented. Experiments were performed using high-dimensional image data acquired by the AVIRIS system, showing a test area which includes a number of classes spectrally very similar. Results are presented and discussed
Using Snowflake Schema and Bitmap Index for Big Data Warehouse Volume

Designing a data warehouse is the most important action done by the designer; it is a risk study of its performance as per it’s criticity while going to production. It Is known that hardware has developed in term of memory volume and speed, storage… but to minimize the execution time and the storage space still being the main objective for data warehousing specialists. This paper shows the advantage of using bitmap index and partitioned fact tables in big data warehouses volumes based on a snowflake schema based on compression.
Methods for Unsupervised Rank Aggregation

Learning the true rank ordering among objects by aggregating a set of expert opinion rank order lists is an important and ubiquitous problem in many applications ranging from social choice theory to recommendation systems and search aggregation. We study the problem of unsupervised rank aggregation where no ground truth ordering information in available, neither about the true preference ordering among any set of objects nor about the quality of individual rank lists. Aggregating the often inconsistent and poor quality rank lists in such an unsupervised manner is a highly challenging problem, and standard consensus-based methods fall short in terms of both quality and scalability. In this manuscript we propose a novel framework to bypass these issues by using object attributes to augment the standard rank aggregation framework. We design algorithms that learn joint models on both rank lists and object features to obtain an aggregated rank ordering that is more accurate and robust, and also helps weed out rank lists of dubious validity. We validate our techniques on synthetic datasets where our algorithm is able to estimate the true rank ordering even when the rank lists are corrupted. Experiments on three real datasets, MQ2008, MQ2007 and OHSUMED, show that using object features can result in significant improvement in performance over existing rank aggregation methods that do not use object information. Furthermore, when at least some of the rank lists are of high quality, our methods are able to effectively exploit such information to output an aggregated rank ordering of high accuracy.
Lissencephaly-1 gene is required for establishment of axis formation in drosophila melanogaster

Lissencephaly-1 gene is known to play many roles during drosophila development, it regulates cyst division, oocyte nucleus migration and control germ stem cell self-renewal hence oocyte formation. In this study we investigated the differential expression of UAS lis-1 RNAi gene construct under the effect of five GAL4 drivers (Nos GAL4, Nub GAL4, Eve 3+7 GAL4, Kni GAL4, Ftz GAL4)on cuticle development. Results showed that Nos and Nub GAL4/UAS lis-1 RNAi have strong effect on abdominal segment development. Meanwhile, Eve 3+7, Kni and Ftz GAL4/UAS lis-1 RNAi showed moderate effect. Proteomic studies (proteinprotein interaction) using bicoid (bcd) and even–skipped antibody were used for determining the effect of Nos GAL4/UAS lis-1 RNAi on the expression of maternal and zygotic genes during developmental process. Results showed that Nos GAL4/UAS lis1 RNAi gene affected slightly on the distribution of the bicoid protein. On the other hand using even-skipped antibody showed alteration in the head length and stripe pattern comparing with control. The overall data showed that UAS lis-1 RNAi gene play an essential role in drosophila axis formation and can be considered as a zygotic effect.
Multi-Stage Language Understanding and Actionability

Natural language understanding (NLU) by language-endowed intelligent agents (LEIAs) is modeled as a multi-stage process that involves extensive reasoning both during and between stages. The LEIA attempts to arrive at an actionable interpretation of each input as defined by its plans and goals. The paper describes: (a) how NLU is integrated with general reasoning in an agent architecture, (b) how language understanding is staged according to depth/precision and complexity of analysis, (c) how a large number of difficult linguistic phenomena are treated in a unified framework, and (d) how natural language can be approached as it occurs in real life, not sanitized or simplified, and without the unnecessary and unrealistic expectation that every utterance must be – or even, in principle, can be – fully understood by the interlocutor. The paper makes descriptive, theoretical, and methodological contributions. It addresses technological issues – including the status of the implementation, system evaluation, and scalability – only in passing, as they involve complex problems that cannot be adequately treated in the available space.
Efficient Data Placement and Retrieval Services in Edge Computing

Edge computing is a new paradigm in which the computing and storage resources are placed at the edge of the Internet. Data placement and retrieval are fundamental services of edge computing when a network of edge servers collaboratively provide data storage. These services require short-latency and low-overhead implementation in network devices and load balance on edge servers. However existing methods such as distributed hash tables (DHTs) are not able to achieve efficient data placement and retrieval services in the edge computing environment. This paper presents GRED, an efficient data placement and retrieval service for edge computing, which is efficient in not only the load balance but also routing path lengths and forwarding table sizes. GRED utilizes the software-defined networking paradigm to support a virtual-space based DHT with only one overlay hop. We implement GRED in a P4 prototype. Experimental results show that GRED uses <30% routing path lengths and achieves better load balance among edge servers compared to using Chord, a well-known DHT solution.
Humanomics Employee motivation an Islamic perspective

Users who downloaded this article also downloaded: Carolyn Wiley, (1997),"What motivates employees according to over 40 years of motivation surveys", International Journal of Manpower, Vol. 18 Iss 3 pp. 263-280 http://dx.doi. org/10.1108/01437729710169373 David Conrad, Amit Ghosh, Marc Isaacson, (2015),"Employee motivation factors: A comparative study of the perceptions between physicians and physician leaders", International Journal of Public Leadership, Vol. 11 Iss 2 pp. 92-106 http:// dx.doi. org/10.1108/IJPL-01-2015-0005 Jurgita Lazauskaite-Zabielske, Ieva Urbanaviciute, Dalia Bagdziuniene, (2015),"The role of prosocial and intrinsic motivation in employees’ citizenship behaviour", Baltic Journal of Management, Vol. 10 Iss 3 pp. 345-365 http://dx.doi. org/10.1108/ BJM-05-2014-0085
Stop-and-Go Movements of Plant Golgi Stacks Are Mediated by the Acto-Myosin System 1

The Golgi apparatus in plant cells consists of a large number of independent Golgi stack/trans-Golgi network/Golgi matrix units that appear to be randomly distributed throughout the cytoplasm. To study the dynamic behavior of these Golgi units in living plant cells, we have cloned a cDNA from soybean (Glycine max), GmMan1, encoding the resident Golgi protein a-1,2 mannosidase I. The predicted protein of approximately 65 kD shows similarity of general structure and sequence (45% identity) to class I animal and fungal a-1,2 mannosidases. Expression of a GmMan1::green fluorescent protein fusion construct in tobacco (Nicotiana tabacum) Bright Yellow 2 suspension-cultured cells revealed the presence of several hundred to thousands of fluorescent spots. Immunoelectron microscopy demonstrates that these spots correspond to individual Golgi stacks and that the fusion protein is largely confined to the cis-side of the stacks. In living cells, the stacks carry out stop-and-go movements, oscillating rapidly between directed movement and random “wiggling. ” Directed movement (maximal velocity 4.2 mm/s) is related to cytoplasmic streaming, occurs along straight trajectories, and is dependent upon intact actin microfilaments and myosin motors, since treatment with cytochalasin D or butanedione monoxime blocks the streaming motion. In contrast, microtubule-disrupting drugs appear to have a small but reproducible stimulatory effect on streaming behavior. We present a model that postulates that the stop-and-go motion of Golgi-trans-Golgi network units is regulated by “stop signals” produced by endoplasmic reticulum export sites and locally expanding cell wall domains to optimize endoplasmic reticulum to Golgi and Golgi to cell wall trafficking.
Acyclicity of Improvements in Games with Common Intermediate Objectives ∗

Strategic games are considered where the players participate in certain “activities”; each activity generates a “level of satisfaction,” shared by all participating players; the utility of each player is an aggregate of the relevant levels. Attention is paid to conditions conducive to the acyclicity of individual or coalition improvements, hence the existence of appropriate (Nash or strong) equilibria. There are two types of such conditions: those concerning how a new participant can affect an activity, and those concerning the aggregation functions. Special rôles of additive aggregation, as well as of the minimum/maximum ones, are demonstrated.
Heterogeneity of Neuronal Responses in the Nucleus of the Solitary Tract 3 Suggests Sensorimotor Integration in the Neural Code for Taste 4 5 6 7

10 11 12 1. Department of Psychology, Binghamton University, Binghamton, NY, USA. 13 14 2. Feil Family Brain and Mind Research Institute and Department of Neurology, 15 Weill Cornell Medical College, New York, NY, USA 16 17 3. To whom correspondence should be addressed: 18 Dept. of Psychology 19 Box 6000 20 Binghamton University 21 Binghamton, NY 13902-6000 22 23 Email: diloren@binghamton.edu 24 Ph: 607-555-2055 25 Mobile: 607-768-0847 26 27 28 Author contributions: 29 Denman conducted data analyses and wrote part of the manuscript. 30 Sammons conducted data analyses and wrote part of the manuscript. 31 Victor consulted on data analyses and on the manuscript. 32 Di Lorenzo prepared the figures and wrote the final draft of the manuscript. 33 34 Running head: Neurons in NTS reflect sensorimotor integration 35 36 37 38
Chapter 1 “ Spilling the bag ” on idiomatic variation

Recent corpus-based studies have shown that idioms can vary much more extensively than previously claimed (Moon 1998; Barlow 2000; Duffley 2013), but little research has been conducted on howwe understand or regard these variants (Gibbs et al. 1989; McGlone et al. 1994). This study further examines idiomatic variation, specifically investigating the acceptability and processing of several types of variants through rating and eye-tracking experiments. Four types of idiom variants were included, in addition to the canonical form and a literal meaning of the expression (i.e. in a different context). The results show that altering an idiom does not render it completely unacceptable nor incomprehensible, but rather, certain variants are more preferred and easier to understand. These results show support for probabilistic accounts of language.
THE COMPLEX BEHAVIOR OF HUMAN ACTIVITY : A COMPARISON BETWEEN HEALTHY AND FIBROMYALGIC INDIVIDUALS

INTRODUCTION Human behavior is much more than a merely complicated event, it can be better conceptualized as being a complex system [1,2]. According to this approach, new and unexpected states of individual behavior can emerge as a final result of simpler elements interacting through well defined rules. One of the signatures of the complex system is the power law behavior in self-organized criticality (SOC) systems [3]. The systems that exhibit this type of behavior have serious problems in using the conventional statistical tools to characterize the data. However, the SOC approach has a set of statistical tools that are better suitable for complex systems. This work uses a SOC index to characterize the difference between fibromyalgic patients and healthy individuals biomechanics activity. Fibromyalgic patients (FM) show a profile characterized by chronic pain and fatigue, which results in a significant decline in physical activity, affecting their functional performances [4]. Such weaknesses causes, in the literature, a lack of clarity about whether the pathogenesis of changes precede or not those symptoms. Despite the awareness of the central nervous system is considered the main mechanism involved in the pathophysiology, peripheral changes at muscle also occurs as a physiological adaptation mechanism, exacerbating the physical and psychological disorders [5,6].