Miracle-dz/UniFAR-FTUs huggingface dataset:
POWER ANALYSIS OF CRITICAL PATH DELAY DESIGN USING DOMINO LOGIC

This paper presents a high-throughput and ultralowpower asynchronous domino logic pipeline design method, targeting to latch-free pipeline design. The data paths are composed of a mixture of dual-rail and Singlerail domino gates. Dual-rail domino gates are limited to construct a stable critical data path. Based on this critical data path, the handshake circuits are greatly simplified, which offers the pipeline high throughput as well as low power consumption. Moreover, the stable critical data path enables the adoption of single-rail domino gates in the noncritical data paths. This method saves power by reducing the overhead of logic circuits. Three phase Dual-rail precharge logic (TDPL) is used for evaluating the proposed pipeline method. Compared with asynchronous domino logic pipeline design, the proposed pipeline respectively saves up to 25% of energy when processing different data patterns.
Particle Swarm Algorithms to Solve Engineering Problems: A Comparison of Performance

In many disciplines, the use of evolutionary algorithms to perform optimizations is limited because of the extensive number of objective evaluations required. In fact, in real-world problems, each objective evaluation is frequently obtained by time-expensive numerical calculations. On the other hand, gradient-based algorithms are able to identify optima with a reduced number of objective evaluations, but they have limited exploration capabilities of the search domain and some restrictions when dealing with noncontinuous functions. In this paper, two PSO-based algorithms are compared to evaluate their pros and cons with respect to the effort required to find acceptable solutions. The algorithms implement two different methodologies to solve widely used engineering benchmark problems. Comparison is made both in terms of fixed iterations tests to judge the solution quality reached and fixed threshold to evaluate how quickly each algorithm reaches near-optimal solutions. The results indicate that one PSO algorithm achieves better solutions than the other one in fixed iterations tests, and the latter achieves acceptable results in less-function evaluations with respect to the first PSO in the case of fixed threshold tests.
CONGESTION CONTROL MECHANSIM IN A WSN FOR PERFORMANCE ANALYSIS

Nowadays, communication is made wireless through internet and during this process congestion occurs , which causes problems like , buffer overflow, packet overflow and queuing delay and many more and this degrades the service parameter quality which includes parameters like end to end delay ,packet delivery ratio and mean energy consumption by wireless nodes. Congestion takes place when there are more packets of data to be transmitted than the accommodation availability in the network. If the accommodation capability is less for a network then the data has to wait for a longer time to get processed and transmitted from transmitter to receiver. A process that can control congestion will help the network to convalesce from being blocked and these control processes are convalescing tools. The shortest path for load balancing can be obtained by I2MR [1] congestion control technique and we can also alter the rate of loading for source node. There are two types of traffics that can occur in sensor networks, namely upstream traffic and downstream traffic. Thousands of nodes in wireless sensor networks are being split into different subnets and each subnet consists of a sensor node. And all the data that is gathered from sensor nodes is routed to a sink node. For mobile sink both the traffics are analysed in CoSMoS [2] congestion control. In this paper we will analyze the different congestion control processes and algorithms for Wireless Sensor Networks. And a comparative analysis is made where a comparison is made between popular congestion control protocols in terms of congestion notification, congestion detection, and its pros and cons.
Staying with the Trouble

In the midst of spiraling ecological devastation, multispecies feminist theorist Donna J. Haraway offers provocative new ways to reconfigure our relations to the earth and all its inhabitants. She eschews referring to our current epoch as the Anthropocene, preferring to conceptualize it as what she calls the Chthulucene, as it more aptly and fully describes our epoch as one in which the human and nonhuman are inextricably linked in tentacular practices. The Chthulucene, Haraway explains, requires sym-poiesis, or making-with, rather than auto-poiesis, or self-making. Learning to stay with the trouble of living and dying together on a damaged earth will prove more conducive to the kind of thinking that would provide the means to building more livable futures. Theoretically and methodologically driven by the signifier SF—string figures, science fact, science fiction, speculative feminism, speculative fabulation, so far— Staying with the Trouble further cements Haraway's reputation as one of the most daring and original thinkers of our time.
Burnout and compassion fatigue in emergency care nurses: factors that influence development

Emergency care nurses are highly susceptible to burnout and compassion fatigue. The aim of this study was to examine burnout and compassion fatigue in Irish emergency care nurses and the role of possible risk factors. A single method correlational design was employed comprising of quantitative data. Measures included; the Professional Quality of Life Scale (Stamm, 2009) which analysed compassion satisfaction and compassion fatigue (burnout and secondary traumatic stress), the Toronto Empathy Questionnaire (Spreng et al. 2009) and the Coping SelfEfficacy scale (Chesney et al. 2006). Purposive sampling acquired a sample (N= 70) of 61 females and 9 males. Findings indicate that Irish emergency care nurses are exposed to the risk of burnout and compassion fatigue. Exposure to secondary traumatic stress posed as a serious risk factor in the development of burnout and compassion fatigue while empathy, compassion satisfaction and coping selfefficacy where found to act as protectors against these criterion variables (burnout and compassion fatigue). Discussion, suggestions and limitations of the study are addressed.
Characterization of Spent Household Zinc-Carbon Dry Cell Batteries in the Process of Recovery of Value Metals

Spent zinc-carbon dry cell batteries were characterized to assess the environmental impacts and also, to identify the potentials of recovering the metal values from these batteries. Different component parts of both new and spent batteries of all the five types (AAA, AA, C, D and 9V) were examined. The outer steel casings were found to be tin plated. Steel, zinc and manganese constituted 63 percent of the total weight of the battery. Average zinc and manganese contents were about 22 and 24 percent of the total weight of spent batteries. The electrolyte paste of the spent batteries contained 22 wt. percent zinc and 60 wt. percent manganese. The rest was chlorine, carbon and small amounts of iron and other impurity elements. The major phases in the fresh batteries were carbon, MnO2 and NH4Cl, while Zn(NH3)2Cl2, ZnO.Mn2O3, Mn3O2 and Mn2O4 were the prominent phases in the spent batteries. Presence of mercury and cadmium were not detected and a small percentage of lead was found in both the zinc anode and in the electrolyte paste.
A Boundary Protection for Power Distribution Line Based on Equivalent Boundary Effect

Aboundaryprotectionmethodforpowerdistributionlinebasedonequivalentboundary� effectispresentedinthispaper. �Intheproposedscheme,�theequivalentresonancecomponentwitha� certaincentralfrequencyissleevemountedatthebeginningofprotectedzone. �The�'LineBoundary'�is� builtbyusingboundaryeffect,�whichiscreatedbyintroducingimpedanceintheprimarysideofline. � The�'LineBoundary'�issignificantlydifferentfromlinewaveimpedance. �Therefore,�theboundary� protectionprinciplecanbeappliedtopowerdistributionlinewithoutlinetraps. �Toanalyzethe� frequencycharacteristiccorrespondingtotravelingwavesofintroducingimpedanceintheprimary� sideofline,�distributedparametersmodelofequivalentresonancecomponentisestablished. �The� resultsofPSCAD/EMTDCsimulationprovetheobviousdifferenceofvoltagehighfrequency� componentbetweeninternalfaultsandexternalfaultsduetoequivalentresonancecomponent,�and� validatethescheme. � �
Including Principles of Set-Based Design in Multidisciplinary Design Optimization

The traditional point-based design process is highly iterative and can be inefficient, particularly for for multidisciplinary problems. Set-based design constitutes a design space reduction process that offers improvements over the point-based approach. In set-based design, designers begin with a broad set of values for the design variables, then gradually narrow the sets as more information becomes available. The principles of set-based design are reflected in the development of a new multidisciplinary design optimization algorithm. The algorithm returns the optimal choice for the reduced design space, instead of a single specific value for each design variable. The new multidisciplinary design optimization algorithm inspired by set-based design was used in a multidisciplinary ship design application.
Your gender may lead you down the garden path

The paper investigates the possible effects of gender on the detection of garden path sentences from ungrammatical ones. Participants of the mentioned study were 47 girls and 47 boys who were students of General English Course at Sharif University of Technology. They were required to sit for a grammaticality judgment test given to them as a questionnaire to specify whether the sentences were grammatical or not. The paper indicates that gender has a significant effect on an individual’s recognition of garden path sentences from ungrammatical ones.
Multidimensional mapping of preference data

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Governance Keeping up with Sharing Economy Innovations

The sharing economy presents new regulatory issues by raising inquiries into market innovation and government intervention. This research focuses on policy areas that have not received much attention in the current debate on the sharing economy, particularly in the tourism literature. Based on the survey on local government officials in the U.S. cities and counties (n=599), the research aims at (1) exploring stakeholder groups that are perceived to be influential in acting on legislation among policymakers and (2) examining determinants that influence legislative status with a focus on sharing economy innovations. The results indicate that legislative status is influenced by stakeholder groups who actively engaged in legislation with different objectives as well as jurisdiction characteristics such as population size and geographical region. The study offers insights into how policymakers keep up with the tremendous innovations that take place in the tourism industry.
Search for exotic decays of the 125 GeV Higgs boson using the CMS detector

Recent results on searches for exotic Higgs boson decays will be presented in this talk. Presented at ICHEP2016 The 38th International Conference on High Energy Physics Exotic decays of the Higgs boson María Cepeda∗† CERN E-mail: cepeda@cern.ch Summary of the direct searches for exotic decays of h(125) performed by the CMS experiment. 38th International Conference on High Energy Physics 3-10 August 2016 Chicago, USA ∗Speaker. †On behalf of the CMS Collaboration. c © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). http://pos.sissa. it/ Exotic decays of the Higgs boson María Cepeda The ATLAS and CMS experiments announced in 2012 the discovery of the Higgs boson h(125), a spin-0 particle with a mass of 125 GeV [1, 2]. Determining its couplings and studying its compatibility with the Standard Model (SM) predictions is one of the main tasks of particle physics today. It is essential to discern if the discovered boson is in fact the SM Higgs, or if a door to new physics opens from the Higgs Sector. While the results obtained so far by the LHC experiments show good agreement with the Standard Model predictions, the 95%CL upper limit on Beyond the Standard Model (BSM) decays of the boson is currently as large as 34% [3], and indirect couplings measurements are not expected to constrain it beyond O(5− 10)%. There is therefore a strong motivation to perform direct searches targeting specific exotic h(125) decays. This article briefly summarises the key results obtained by CMS in two different search areas: h(125) decays to pseudoscalars and scalars, and h(125) decays to lepton-flavour-violating lepton pairs. Other BSM decays of the 125 GeV Higgs boson, such as decays to invisible particles, are not covered. The data samples used were collected by CMS in 2012 and 2015, and correspond to an integrated luminosity of approximately 20 fb−1 at a center-of-mass energy of 8 TeV and 2.6 fb−1 at a center-of-mass energy of 13 TeV. The CMS detector is described in detail in [4].
Reconciling the Knowledge of Scholars & Practitioners: An Extended Case Analysis of the Role of Theory in Student Affairs.

This paper utilizes a critical post-pragmatist epistemological lens in tandem with an extended case analysis to explore how student affairs professionals process truth claims related to student experience. Findings from the study, which include the limited usage of formal theory and the iterative reconstruction of informal theory, are used to demonstrate the utility of critical, theory-engaged methodology in educational research. Implications for future research and methodological decision-making are offered.
Hydrogen supply chains for mobility : environmental and economic assessment

Hydrogen mobility is one option for reducing local emissions, avoiding greenhouse gas (GHG) emissions, and moving away from a mainly oil-based transport system towards a diversification of energy sources. As hydrogen production can be based on a broad variety of technologies already existing or under development, a comprehensive assessment of the different supply chains is necessary regarding not only costs but also diverse environmental impacts. Therefore, in this paper, a broad variety of hydrogen production technologies using different energy sources, renewable and fossil, are exemplarily assessed with the help of a Life Cycle Assessment and a cost assessment for Germany. As environmental impacts, along with the impact category Climate change, five more advanced impact categories are assessed. The results show that from an environmental point of view, PEM and alkaline electrolysis are characterized by the lowest results in five out of six impact categories. Supply chains using fossil fuels, in contrast, have the lowest supply costs; this is true, e.g., for steam methane reforming. Solar powered hydrogen production shows low impacts during hydrogen production but high impacts for transport and distribution to Germany. There is no single supply chain that is the most promising for every aspect assessed here. Either costs have to be lowered further or supply chains with selected environmental impacts have to be modified.
Supervisor-nurse relationships, training, empowerment and patient role ambiguity for nurses: Australia and England

This paper uses a Leader-Member Exchange theoretical framework to first, examine the impact of the supervisor-subordinate relationship upon nurses’ satisfaction with training and perceptions of empowerment (as measured by self-determination, impact, competence and meaning), and then upon their role ambiguity in relation to patients. Second, we compared nurses’ experiences in Australia and in England. Using surveys, data were collected during 2008 and 2010 from 1335 hospital nurses (900 in Australia and 435 in England). Using path analysis, the findings identify that satisfaction with supervisor-nurse relationships and training, plus perceptions of empowerment, explain approximately a fifth of nurses’ patient role ambiguity.
Sex‐specific differences in ecomorphological relationships in lizards of the genus Gallotia

Summary 1. Males and females often differ from one another in phenotypic traits due to differential investment in traits relevant to the fitness of each sex. However, how differences in sexually dimorphic traits affect ecologically relevant performance traits and whether these are correlated with variation in ecology remains poorly understood. 2. Here, we test the co-evolution of head shape, bite force capacity and diet in male and female lizards (Gallotia) from the Canary Islands, known to be sexually dimorphic. We collected data on bite force and head size and shape for both sexes of all seven extant species on all seven islands of the archipelago (ten evolutionary-independent lineages). Moreover, we collected diet data for five out of the seven species (eight lineages). 3. Our results show that the evolution of head morphology is associated with the evolution of bite force in both sexes. However, only in females is the evolution of head morphology and bite force associated with the evolution of diet. In males, head morphology and bite force are decoupled from the evolution of diet. In conjunction with the male head shape characterized by a broad rostrum, this suggests that head shape and bite force may be evolving principally under sexual selection in males. 4. Our data thus suggest that head morphology and associated functional traits may evolve under different selective pressures in the two sexes.
Modified Brownian Motion Approach to Modelling Returns Distribution

An innovative extension of Geometric Brownian Motion model is developed by incorporating a weighting factor and a stochastic function modelled as a mixture of power and trigonometric functions. Simulations based on this Modified Brownian Motion Model with optimal weighting factors selected by goodness of fit tests, substantially outperform the basic Geometric Brownian Motion model in terms of fitting the returns distribution of historic data price indices. Furthermore we attempt to provide an interpretation of the additional stochastic term in relation to irrational behaviour in financial markets and outline the importance of this novel model.
Validation of OMI total ozone retrievals from the SAO ozone profile algorithm and three operational algorithms with Brewer measurements

Abstract. The accuracy of total ozone computed from the Smithsonian Astrophysical Observatory (SAO) optimal estimation (OE) ozone profile algorithm (SOE) applied to the Ozone Monitoring Instrument (OMI) is assessed through comparisons with ground-based Brewer spectrometer measurements from 2005 to 2008. We also compare the three OMI operational ozone products, derived from the NASA Total Ozone Mapping Spectrometer (TOMS) algorithm, the KNMI (Royal Netherlands Meteorological Institute) differential optical absorption spectroscopy (DOAS) algorithm, and KNMI's Optimal Estimation (KOE) algorithm. The best agreement is observed between SAO and Brewer, with a mean difference of within 1% at most individual stations. The KNMI OE algorithm systematically overestimates Brewer total ozone by 2% at low and mid-latitudes and 5% at high latitudes while the TOMS and DOAS algorithms underestimate it by ~1.65% on average. Standard deviations of ~1.8% are calculated for both SOE and TOMS, but DOAS and KOE have higher values of 2.2% and 2.6%, respectively. The stability of the SOE algorithm is found to have insignificant dependence on viewing geometry, cloud parameters, or total ozone column. In comparison, the KOE–Brewer differences are significantly correlated with solar and viewing zenith angles and show significant deviations depending on cloud parameters and total ozone amount. The TOMS algorithm exhibits similar stability to SOE with respect to viewing geometry and total column ozone, but has stronger cloud parameter dependence. The dependence of DOAS on observational geometry and geophysical conditions is marginal compared to KOE, but is distinct compared to the SOE and TOMS algorithms. Comparisons of all four OMI products with Brewer show no apparent long-term drift, but seasonal features are evident, especially for KOE and TOMS. The substantial differences in the KOE vs. SOE algorithm performance cannot be sufficiently explained by the use of soft calibration (in SOE) and the use of different a priori error covariance matrices; however, other algorithm details cause fitting residuals larger by a factor of 2–3 for KOE.
Differences in wing melanization and pigmentation pattern in Drosophila buzzatii (Diptera: Drosophilidae) under chemical stress

 RESUMEN. Recientemente, hemos avanzado en nuestra comprension de las bases geneticas y los mecanismos subyacentes al proceso de melanizacion durante el desarrollo, lo que permite el estudio de los procesos evolutivos que gobiernan la variabilidad de pigmentacion presente en la naturaleza. Sin embargo, los factores ambientales que contribuyen a dicha variabilidad han recibido poca atencion, aun cuando pueden conllevar profundas consecuencias a nivel ecologico. En este trabajo, presentamos un metodo para analizar los patrones de melanizacion alar de drosofilidos, de forma cualitativa y cuantitativa. Ponemos a prueba esta metodologia comparando las alas de Drosophila buzzatii Patterson & Wheeler, criadas en medio control y con el agregado de alcaloides. Los alcaloides fueron extraidos del huesped secundario de estas moscas, Echinopsis terscheckii (Parm. ex Pfeiff.) Friedrich & Rowley, los cuales, se sabe, presentan efectos negativos en el desarrollo de D. buzzatii. Las moscas criadas en un medio enriquecido con alcaloides mostraron una mayor melanizacion alar, junto con diferencias en la distribucion espacial del pigmento. Planteamos modificaciones a nivel metabolico y de expresion genica para explicar los cambios que las condiciones de estres inducen sobre el caracter. Proponemos la utilizacion de este procedimiento para el estudio de la dependencia ambiental de la melanizacion.
Software fault characteristics: A synthesis of the literature

Faults continue to be a significant problem in software. Understanding the nature of these faults is important for practitioners and researchers. There are many published fault characteristics schemes but no one scheme dominates. Consequently it is difficult for practitioners to effectively evaluate the nature of faults in their software systems, and it is difficult for researchers to compare the types of faults found by different fault detection techniques. In this paper we synthesise previous fault characteristics schemes into one comprehensive scheme. Our scheme provides a richer view of faults than the previous schemes published and presents a comprehensive, unified approach which accommodates the many previous schemes. A characteristicsbased view of faults should be considered by future researchers in the analysis of software faults and in the design and evaluation of new fault detection tools. We recommend that our fault characteristics scheme be used as a benchmark scheme.