Miracle-dz/UniFAR-FTUs huggingface dataset:
Self Controllable Pass Transistor Low Power Pulsed Flip-Flop

In this paper, a novel low power pulsed flip-flop (PFF) using self-controllable pass transistor logic is presented. The pulse generation logic comprising of two transistor AND gate is used in the critical path of the design for improved speed and reduced complexity. In the D to Q path inverter is removed and the transistor is replaced with pass transistor logic. The pass transistor is driven by generated clock pulse is used directly to drive the flip flop output. The presented design is compared with the SCCER and low-power pulse triggered flip-flop with conditional pulse enhancement (LPFF- CE) scheme. As compared to the SCCER, LPFF-CE the proposed pulsed flip-flop (PFF) design features best speed, power. The proposed technique is implemented using TSPICE CMOS 180nm technology. The average power consumption for proposed design is reduced compared with the conventional flip flops.
University Students Grit Level And Grit Achievement Relation

Grit is explaining in Dictionary of the Turkish language Association as determination and desire to have identified the level of long-term goals. Duckworth, Peterson, Matthews, and Kelly (2007) are definiting it as, perseverance and passion for Long-Term Goals. In addition to stating that grit is an important factor in measuring the intelligence and the success. At the same time they have stressed that the grit is much more important predictors of success. Even Duckworth and Quinn (2009) argued that grit is more effective than intelligence scores for explainig the success. There are some studies that they are advocating grit is closely associated with self-discipline, self-regulation and goal orientation, and grit is the main factor for exlaining that concpts(Duckworth & Quinn, 2009; Peterson & Seligman, 2004). In this study, university student success and their grit's are analysed. Therefore, determining the relationship between success and grit is used for descriptive screening model. This study was conducted with 451 students in Education Faculty at Necmettin Erbakan University in 2015-2016 academic year spring semester. In order to data collecting "Grit-S scale", developed by Duckworth and Quinn (2009) and adapted to Turkish by SarA±cam and others (2015), was used. Datum were analysed by SPSS 16 soft ware and frequency, mean, standard deviation and regresion test were used as statistical techniques. The achievement scores of students have found a significant correlation between the grit scores.
Bi-presymplectic chains of co-rank 1 and related Liouville integrable systems

Bi-presymplectic chains of 1-forms of co-rank 1 are considered. The conditions under which such chains represent some Liouville integrable systems and the conditions under which there exist related bi-Hamiltonian chains of vector fields are derived. To present the construction of bi-presymplectic chains, the notion of a dual Poisson-presymplectic pair is used, and the concept of d-compatibility of Poisson bivectors and d-compatibility of presymplectic forms is introduced. It is shown that bi-presymplectic representation of a related flow leads directly to the construction of separation coordinates in a purely algorithmic way. As an illustration, bi-presymplectic and bi-Hamiltonian chains in are considered in detail.
Product-forms from a CAT and DOG

The equilibrium state space probabilities of a stationary Markov chain can be obtained immediately from its reversed process. There are two main steps in the derivation of product-form solutions for multi-dimensional Markov chains using this approach. First, the reversed process must be determined. This is achieved for a wide class of cooperating processes using a compound agent theorem (CAT), a compositional result from Markovian Process Algebra (MPA). Secondly, a path to each state must be found from some specified reference state. This is usually obtained in a simple way by considering the components of the state in order of dimension, e.g. in a dimension-ordered graphical (DOG) representation. In this note, the main results for reversing a stationary compound Markov process, under appropriate conditions, are given and applied to deriving product-forms. No balance equations are solved.
Serum metabolic and minerals profile in norgestomet primed postpartum anestrous surti buffaloes

Aim: The study was undertaken to find out the serum metabolic and minerals profile in postpartum anestrous surti buffaloes treated with norgestomet ear implants alone and in combination with pregnant mare serum gonadotropin (PMSG). Materials and Methods: The study was conducted on 18 postpartum anestrous Surti buffaloes divided into three groups of six animals each at random to conduct the experiment. The buffaloes in Group-I and Group-II were implanted with Crestar ear implant for 9 days together with 2 ml injection of Crestar solution given i/m on the day of the implant insertion. In Group-II, additionally 500 IU PMSG was given i/m on the day of implant removal, whereas the buffaloes in Group-III served as anestrous control group and received 5 ml Normal Saline i/m on day 0 and 9 as a placebo treatment. Results: The overall serum total protein values did not differ significantly (p > 0.05) between time (days) intervals in any of the groups. The mean serum total cholesterol levels at 10th day and on the day of estrus were found significantly lower (p < 0.05) in the control group as compared to treatment Groups I and II. However, there was no significant difference (p > 0.05) at 10th day and on the day of estrus between treatment groups (T1 and T2). The overall mean serum cobalt, zinc, iron, and manganese values did not differ significantly (p > 0.05) between different time intervals among any of the groups, except copper which was significantly lower (p < 0.05) at 10th day in control group as compared to treatment groups. Conclusion: Microelements cannot be synthesized in the body. Hence, it is concluded that the mineral mixture should be supplied daily in the animals ration to suffice the requirement of the trace elements. The mean serum metabolic and micro-minerals profiles in treatment and control groups revealed that overall mean serum total protein, cholesterol, copper, and zinc levels were apparently higher in treatment groups whereas, mean serum cobalt, iron, and manganese concentration had no consistent trend between treatment and control groups of Surti buffaloes.
A REAL OBJECT CONTROL SYSTEM FOR USE IN MANUFACTURING TELEPRESENCE ENVIRONMENTS.

This paper presents a real object control system for use in telepresence systems, which is composed by a Real Object Class Library (ROCL) and a Real Object Control Software (ROCS). Through the real object control system, the object functioning simulation within a virtual environment at the same time as a real environment, makes possible the visualization of the events in a multiuser environment, in such a way that occurred interferences in real objects are reflected in virtual objects and vice versa. The creation of a virtual environment and a prototype control for use in telepresence environments must obey to criteria of size scale, space, speed and time for the results to be as accurate as it possible. The class representation of the real and virtual objects into the object-oriented paradigm results in clarity of the control conception of each object, simplifying the communication between the designer and the simulation system as well as the system updating through the easiness of new object addition. The system is a module of a telepresence environment authoring system which intends to facilitate the interface of virtual reality in manufacturing telepresence environments. The ROCL was tested and evaluated by using the ROCS to control some real prototypes.
Poison pills: harmful relevant documents in feedback

Relevance feedback (RF) aims to overcome query and document disagreements on vocabulary, and user and system disagreements on relevancy for a given information need. It can be implemented as an interactive (IRF) or automatic (pseudo-relevance feedback PRF) process and relies on the initial document ranking returned by the system for the original query. The underlying assumption is that the initial retrieval will yield the relevant documents to refine the query[4, 7]. It is expected that they will provide new terms, such as synonyms, that will improve the original query. The feedback performance of retrieval systems depends on many factors and a great variability in precision occurs from topic to topic [1]. On average, the overall system performance improves after feedback, but for some topics the average precision achieved is actually lower than the initial run, particularly in PRF. This effect may be caused by the use of non-relevant documents (in the case of PRF) or due to the use of a single feedback parameter set for all topics [2]. In this work we present a new alternative explanation for lowered topic performance: under specific feedback parameter settings, relevant documents may act as “poison pills”[9] and harm topic precision after feedback.
The Verbmobil Syntax Semantics Interface | Version 1.2

Das diesem Bericht zugrundeliegende Forschungsvorhaben wurde mit Mit-teln des Bundesministers f ur Forschung und Technologie unter dem FF order-kennzeichen 01 IV 101 R geff ordert. Die Verantwortung f ur den Inhalt dieser Arbeit liegt bei dem Autor.
The impact of roads and agricultural extension on consumption growth and poverty in fifteen Ethiopian villages

This paper investigates whether public investments that led to improvements in road quality and increased access to agricultural extension services led to faster consumption growth and lower rates of poverty in rural Ethiopia. Using a Generalized Methods of Moments . Instrumental Variables. Household Fixed Effects estimator, we find evidence of positive impacts with meaningful magnitudes. Access to all-weather roads increases consumption growth by 16 per cent and, reduces the incidence of poverty by 6.7 per cent. Receiving at least one visit from an extension agent raises consumption growth by 7 per cent and reduces poverty incidence by nearly 10 per cent. These results are robust to changes in model specification and estimation methods.
MetroSense Project: People-Centric Sensing at Scale

Looking forward 10-20 years we envision Internet scale sensing where the majority of the traffic on the network is sensor data and the majority of applications used every day by the general populace integrates sensing and actuation in some form. Sensing will be people-centric. On the other hand, nearly all published sensor network research over the last five years has focused on isola ted, small scale testbeds designed for specialized applications (e.g., environmental sensing, industrial sensing, etc.) of interest t o engineers and scientists. We believe the gap between the state of the art and our future vision can be bridged through the development of a new wireless sensor edge for the Internet. To this end, in the MetroSense Project we are developing a general purpose sensing infrastructure capable of realizing a wealth of sensing applications with mass appeal for producers and consumers of sensed data. In this paper we motivate the need for a new architecture to support people-centric sensing at Internet scale, outline our MetroSense architecture [1], and highlight our progress to date in designing and deploying prototype implementations of the MetroSense architecture via the deployment of our campus area sensor network.
Synoptic climatology of extreme fire‐weather conditions across the southwest United States

Extreme fire‐weather conditions are usually thought of as discrete events rather than part of a continuum of meteorological and climatological variability. This study uses a synoptic climatological approach (weather typing) to examine the seasonal climatology of extreme fire‐weather conditions across the southwest United States (Arizona and New Mexico) during the period of 1988–2003. Three key circulation patterns representing broad southwesterly flow and large geopotential height gradients are associated with over 80% of the extreme fire‐weather days identified in this study. Seasonal changes in relative humidity levels, strength of height gradient, and geopotential heights all modulate the relationship between these key circulation patterns and extreme fire‐weather days. Examination of daily incident summaries for three recent wildfires (May 2000, June 2002 and June 2003) shows that wildfire activity can be strongly regulated by these critical fire‐weather circulation patterns. Copyright © 2006 Royal Meteorological Society.
Strategii de construire a esantioanelor calitative utilizate in evaluarea programelor

This paper presents different strategies for qualitative sampling utilized in program evaluation. This article present different sampling with examples for evaluation the social work program, indicating the advantages of each of these, based on Patton descriptions. Each program evaluation need adapted the sampling strategies link with the evaluation s scope and questions, the specificity of the program and targets populations, with the characteristics of beneficiaries.
ZeuScansion: a tool for scansion of English poetry

We present a finite state technology based system capable of performing metrical scansion of verse written in English. Scansion is the traditional task of analyzing the lines of a poem, marking the stressed and non-stressed elements, and dividing the line into metrical feet. The system's workflow is composed of several subtasks designed around finite state machines that analyze verse by performing tokenization, part of speech tagging, stress placement, and unknown word stress pattern guessing. The scanner also classifies its input according to the predominant type of metrical foot found. We also present a brief evaluation of the system using a gold standard corpus of human-scanned verse, on which a per-syllable accuracy of 86.78% is reached. The program uses open-source components and is released under the GNU GPL license.
The Performance and Preference of Different Fingers and Chords for Pointing, Dragging, and Object Transformation

The development of robust methods to identify which finger is causing each touch point, called "finger identification," will open up a new input space where interaction designers can associate system actions to different fingers. However, relatively little is known about the performance of specific fingers as single touch points or when used together in a "chord. " We present empirical results for accuracy, throughput, and subjective preference gathered in five experiments with 48 participants exploring all 10 fingers and 7 two-finger chords. Based on these results, we develop design guidelines for reasonable target sizes for specific fingers and two-finger chords, and a relative ranking of the suitability of fingers and two-finger chords for common multi-touch tasks. Our work contributes new knowledge regarding specific finger and chord performance and can inform the design of future interaction techniques and interfaces utilizing finger identification.
Risk Mitigation and Risk Absorption in IOS: A Proposed Investigative Study

This study examines the risk consequences of participation in inter-organisational information systems (IOS). The research aims to identify the risk mitigation and risk absorption impacts of IOS participation and evaluate the extent to which these impacts affect participation decisions. Prior research has called for a greater understanding of risks associated with IS. This paper presents a synthesis of the research on IS risk and illustrates that, to date, this call has been addressed primarily by one-dimensional studies. The paper highlights the changing context of inter-firm trade illustrating its increased reliance on networked collaboration. What remains uncertain is the nature and consequences of risk within this context. The paper presents a framework that will form the basis of the proposed research into the risk mitigation and risk absorption consequences of IOS participation.
The ALFALFA Search for (Almost) Dark Galaxies across the HI Mass Function

Abstract The Arecibo Legacy Fast ALFA (ALFALFA) survey is a second generation blind extragalactic HI survey currently in progess which is exploiting Arecibo's superior sensitivity, angular resolution and digital technology to derive a census of the local HI universe over a cosmologically significant volume. As of the time of this meeting, some 4500 good quality extragalactic HI line sources have been identified in about 15% of the final survey area. ALFALFA is detecting HI masses as low as 106M⊙ and as large as 1010.8M⊙ with positional accuracies typically better than 20″, allowing immediate identification of the most probable optical counterparts. Only 3% of all extragalactic HI sources and less than 1% of detections with MH I > 109.5M⊙ cannot be identified with a stellar component. Because ALFALFA is far from complete, the discussion here focuses on limitations of past surveys that ALFALFA will overcome because of its greater volume, sensitivity and reduced susceptibility to source confusion and on a sampling of illustrative preliminary results. First ALFALFA results already suggest, in agreement with previous studies, that there does not appear to be a cosmologically significant population of optically dark but HI rich galaxies. ALFALFA promises a wealthy dataset for the exploration of many issues in near-field cosmology and galaxy evolution studies, setting the stage for their extension to higher redshifts in the future with the Square Kilometer Array (SKA).
Design and implementation of a quadrotor for indoor swarm research

Quadrotors have become a commonly used research platform in aerial robotics for the last decade. With the ability of flying in three-dimensional space, quadrotors possess great academic potential in control theory, synchronous localization and mapping (SLAM), robot swarm, etc. In this work, a small size autopilot system based on STM32 microcontrollers is designed and a quadrotor platform made with off-the-shelf components is developed. A classic PID controller is implemented in the autopilot system, and the performance of this quadrotor platform is tested in a series of experiments. The results demonstrated that the platform is stable, compact, easy to build and highly extensible.
Development of a WFST based Speech Recognition System for a Resource Deficient Language Using Machine Translation

Text corpus size is an important issue when building a language model (LM) in particular where insufficient training and evaluation data are available. In this paper we continue our work on creating a speech recognition system with a LM that is trained on a small amount of text in the target language. In order to get better performance we use a large amount of foreign text and a dictionary mapping between the languages. A dictionary is used since we are assuming that the target language is resource deficient and therefore statistical machine translation (MT) is not available. In this paper we take a step forward from our previous published method by using a coupling of the speech recognition part and the translation part rather than pre-translating the foreign text. The coupling is achieved with a weighted finite state transducer (WFST ) network which as well makes it possible to easily switch between the output language, i.e. that the output text is in the format of the resource deficient language or in the resource rich language. Our method outperforms the resource-deficient Icelandic speech recognition baseline, 82.6% keyword accuracy (KA), when the system is trained on 1500 Icelandic sentences, both for the English output (2.6% absolute KA improvement) and for the Icelandic output (1.6% absolute KA improvement) where the English text corpus consists of 63003 sentences.
Fasta-O-Matic: a tool to sanity check and if needed reformat FASTA files

Background As the sheer volume of bioinformatic sequence data increases, the only way to take advantage of this content is to more completely automate robust analysis workflows. Analysis bottlenecks are often mundane and overlooked processing steps. Idiosyncrasies in reading and/or writing bioinformatics file formats can halt or impair analysis workflows by interfering with the transfer of data from one informatics tools to another. Results Fasta-O-Matic automates handling of common but minor format issues that otherwise may halt pipelines. The need for automation must be balanced by the need for manual confirmation that any formatting error is actually minor rather than indicative of a corrupt data file. To that end Fasta-O-Matic reports any issues detected to the user with optionally color coded and quiet or verbose logs. Fasta-O-Matic can be used as a general pre-processing tool in bioinformatics workflows (e.g. to automatically wrap FASTA files so that they can be read by BioPerl). It was also developed as a sanity check for bioinformatic core facilities that tend to repeat common analysis steps on FASTA files received from disparate sources. Fasta-O-Matic can be set with format requirements specific to downstream tools as a first step in a larger analysis workflow. Availability Fasta-O-Matic is available free of charge to academic and non-profit institutions on GitHub.
Multi-periodic Data Aggregation Scheme Based on Interest for Energy Efficiency in Wireless Sensor Network

In the wireless sensor network, there are cluster based routing protocols for the network monitoring like LEACH. In earlier works, the data aggregation periods of these protocols are the same, although each cluster can have different environments or situations for time-varying. Thus, it occurred to inefficiently consume energy in non-interested areas. In addition, it is also inefficient in interested areas that require frequent measurements because of next measurement time is fixed regardless of current environment. Therefore, in this paper, we suggest that data aggregation periodic time is distinguished according to characteristics of the cluster. We designed MPDA (Multi-Periodic Data Aggregation) that is a new cluster based routing protocol based on the following suggestion. We distinguished the data aggregation period by considering the interested area that is needed to monitor frequently. The result of the experiments is that MPDA is better than LEACH in terms of a few errors and energy consumption.