Miracle-dz/UniFAR-FTUs huggingface dataset:
1 Title : Reassignment of the flap allophone in rapid dialect adaptation

In an experiment spanning a week, American English speakers imitated a Glaswegian (Scottish) English speaker. The target sounds were /t/ and /r/, as the Glaswegian speaker aspirated wordmedial /t/ but pronounced /r/ as a flap initially and medially. This experiment therefore explored whether speakers could learn to reassign a sound they already produce (the flap) to a different phoneme and to different phonetic contexts. Speakers appeared to learn systematically, as they could generalize to words which they had never heard the Glaswegian pronounce. There was a mix of categorical learning, with the allophone simply switching to a different use, and parametric approximations of the “new” sound. The phonetic context was clearly important, as flaps were produced less successfully when word-initial. And although there was variety in success rates, most speakers learned to produce a flap for /r/ at least some of the time and retained this learning over a week’s time. These effects are most easily explained in a hybrid of neo-generative and exemplar models of speech perception and production.
The Use of Politeness Strategies in the Indonesia’s 2019 Presidential Campaign Teams on Online News Media

The politeness strategy can be found in daily conversations and in debating events. One of the debates of concern for this study is the debate between two presidential election campaign teams in Indonesia. This article sought to describe the strategies used by both groups on online news media and to find out whether there is any significant difference between in the use of positive and negative politeness strategies. This research used descriptive qualitative methods to analyze sixteen articles of media coverage of news with high political salience from two important national online news media having opposite ideology, MediaIndonesia.com and Kompas.com. Discussion primarily draws upon Brown and Levinson’s politeness theory. The result of the research shows that each groups of election campaign team used various politeness strategies projected by three context-driven politeness strategies. This implies that each teams should consider politeness attracts positive attention, gives tough situations a chance to
The RNFT2/IL3Ra axis regulates IL3 signaling and innate immunity

Interleukin-3 (IL3) receptor α (IL3Rα) is the alpha subunit of the ligand-specific IL3 receptor and initiates intracellular signaling in response to IL3. IL3 amplifies pro-inflammatory signaling and cytokine storm in murine sepsis models. Here we found that RNFT2 (RING finger transmembranedomain containing protein 2, also TMEM118), a previously uncharacterized RING finger ubiquitin E3 ligase, negatively regulated IL3-dependent cellular responses through IL3Rα ubiquitination and degradation in the proteasome. In vitro, IL3 stimulation promoted IL3Rα proteasomal degradation dependent on RNFT2, and we identified IL3Rα Lysine 357 as a ubiquitin acceptor site. We determined that LPS-priming reduces RNFT2 abundance, extends IL3Rα half-life, and sensitizes cells to the effects of IL3, acting synergistically to increase pro-inflammatory signaling. In vivo, IL3 synergized with LPS to exacerbate lung inflammation in LPS and Pseudomonas aeruginosa-challenged mice; conversely, IL3 neutralization reduced LPS-induce lung injury. Further, RNFT2 over-expression reduced lung inflammation and injury, whereas Rnft2 knockdown exacerbated inflammatory responses in LPS-induced murine lung injury. Lastly, we examined RNFT2 and IL3Rα in human lung explants from patients with Cystic Fibrosis, and also showed that IL3 is elevated in mechanically-ventilated critically ill humans at risk for Acute Respiratory Distress Syndrome (ARDS). These results identify RNFT2 as a negative regulator of IL3Rα, and show a potential role for the RNFT2/IL3Rα/IL3 axis in regulating innate immune responses in the lung.
EXPERIMENTAL INVESTIGATION ON SOME PARAMETERS OF RICE STRAW ASH - FLY ASH GEOPOLYMER MORTAR

Concrete is one of the main materials in the construction industry. The Ordinary Portland Cement (OPC) concrete is vastly used as the main binder in construction industry which leads to depletion of natural resources in order to manufacture large quantities of OPC. Environmental hazards result from OPC production have become a major concern today. Nevertheless, Geopolymer concrete production (GC) is a new environment friendly construction material, due to less emission of carbon dioxide. An experimental study on some engineering properties of Geopolymer Mortar (GM) prepared using the fly ash (FA) and rice straw ash (RSA) is presented in this research. FA was replaced with RSA by 0, 5, 10, 15, 20, and 25% where the sodium silicate and sodium hydroxide were used as alkaline activator. The casted GM was divided in two main groups to study the effect of curing temperature. The first group was cured at room temperature for 28 days. The second group was cured at 80oC for 24 hours in an oven curing tank then in room temperature for 27 days. The test results show that compression strength and flexural strength of geopolymer mortar increase when the percentage of RSA increases up to 5% replacement. The geopolymer materials exhibited strength increases after temperature exposure for 28 day.
Why is he special? The importance of educational diet in children with Hemiplegic Cerebral Palsy: a case study

This study describes the functionality, cognitive, and neuropsychological performance of a child with Hemiplegic Cerebral Palsy, and the role of the “educational diet” in his performance. Executive dysfunction is expected in Hemiplegic children, and even those with normal cognitive functioning are predisposed to show specific learning difficulties. This particular case displays a profile disparate from what is expected. Results confirmed the high functionality of the child, FA, in all domains. Moreover, a parent interview verified that the educational diet followed may be an important aspect that is contributing to the child’s divergent results.
PICKING FROM THE TOP OR SHEDDING THE BOTTOM? PERSONNEL MANAGEMENT, WORKER QUALITY AND FIRM PRODUCTIVITY

It is well established that organizational practices matter for workforce composition and productivity, but the mechanisms behind these effects are less well understood. In this paper, we explore how structured personnel management practices relate to actual HR outcomes and productivity. We match structured management practices data from the World Management Survey to AKM estimates of worker and firm fixed effects and industrial survey data from ten years of Brazilian administrative data. We have four key findings: first, consistent with the literature, we find that worker and manager fixed effects, as well as structured management, are positively correlated with firm productivity. Second, we find evidence of positive recruitment: better managed firms hire a larger share of their new recruits — managers and production workers — from the top of the distribution of worker fixed effects. Third, we find suggestive evidence of better worker matching and retention from lower separation rates. Fourth, we decompose the variation of personnel management practices and find that promotion and retention practices show the strongest correlation with manager fixed effects. We use the Brazilian employer-employee dataset (RAIS) data under an agreement with the Ministério do Trabalho e Emprego (MTE), Brazil’s labor ministry, which collects and maintains RAIS. We thank Carlos Lessa at the Brazilian statistics agency (IBGE) for access to the Brazilian industrial survey data (PIA). We thank participants at the LERA Session at ASSA 2017 and the Empirical Management Conference 2018 for useful discussions and comments.
Experiments in digital publishing: creating a digital compendium

This chapter not only introduces the user and reader to the goals of the digitally provided index and the methods used for it. It also expands on the broader applicability of digital methods in view of electronic publishing, and to the problems involved. The chapter focuses on two aspects of the making of the Structures of Epic Poetry compendium, where digital tools played a central role: the creation of the index locorum and the development of a digital compendium to the printed volumes.
Development Appraisal and Psychosocial Work Environment

Johansson Hanse, J., & Westergren, H. Development Appraisal and Psychosocial Work Environment. Göteborg Psychological Reports, 2004, 34, No. 6. The aim of the study was to examine the relation between ‘development appraisal’ (DA) (a kind of ‘staff development talk’ or ‘development discussion’ in Sweden) and psychosocial job factors. Seven hundred and fifty four employees from one municipal district in Sweden participated in a cross-sectional study. All subjects answered a questionnaire including topics regarding demographic and employee-related variables, DA (both a realization and a qualitative dimension), and psychosocial job factors. Those who had had a DA (realization dimension) reported higher satisfaction levels in regard to social support and decision latitude, compared to those who had not had a DA. As regards the qualitative dimension of DA, the results indicate positive significant relations with all psychosocial job factors. DA as a continuing process in the organisations practical activities are discussed and further investigations are also suggested.
FIRST PRINCIPLE ELECTRONIC, MAGNETIC AND THERMODYNAMIC CHARACTERIZATION OF HEAVY FERMION TERNARY RARE EARTH METAL ALLOYS

Ternary rare earth metal alloys (viz. GdInZn, GdTlZn and GdInCd) play a key role in a large range of current research areas, in particular those devoted to heavy fermions, valence fluctuations, magneto-strictive materials, permanent-magnet materials, spin glasses and random anisotropy systems. Thus, to understand the relevant complex behavior of Gd/M/M1, M=In, Tl; M1 = Zn, Cd compounds (viz. GdInZn, GdInCd and GdTlZn), in the present research article, we have been carried out the theoretical investigations on electronic, magnetic and thermodynamic characteristics of Gd/M/M1 type compounds in the hexagonal P63/mmc phase using density functional theory (DFT).
LTE Scheduler Algorithms for VANET Traffic in Smart City

A new concept such as smart city was introduced in the last years where the Intelligent Transportation system (ITS ) plays a critical role to provide road safety and manage Vehicular Ad Hoc Networks (VANETs) traffic. Nevertheless, VANETs have significant constraints like nodes high mobility, intermittent connectivity, variable network density and heterogeneity. However, the different types of traffic, the different Quality of Service requirements, the need to exchange mobile data, multi-services and data diversity leads mainly to load and time constraints in this specific and stringent type of networks. The main characteristic of this kind of networks is the very changing topology that poses supplementary constraints and makes achieving QoS constraints a very challenging task. In VANET network the vehicle generated traffic will be transferred to the data center from road side unit to the base station by using Long Term Evolution (LTE) in an urban area. Despite LTE has a larger system capacity and it provides a higher transmission speed, the network performance is affected by the implemented scheduling algorithm. In this context, we study the efficiency of LTE scheduler algorithms such as Proportional Fairness, Round Robin, Priority Set Scheduler, Maximum Throughput Scheduler and Throughput to Average Scheduler and Blind Equal Throughput mainly at the road side unit using Network Simulator 3(NS3) to determinate the most suitable scheduler for VANET traffic. Results demonstrate that the round robin algorithm is more effective for volumetric VANET traffic in terms of throughput, delay, packet loss rate and fairness.
Automated Reasoning about the Entity Integrity of Big Data in Possibilistic SQL

SQL is the de-facto industry standard for data management. Besides relational data, SQL has been extended to also manage object-relational and Web-based data. It is likely that many instances of big data will also be managed by extensions of the current SQL standard. We introduce the classes of keys and functional dependencies over possibilistic databases with duplicate and missing information. Our main contribution is to equip SQL with reasoning capabilities about the semantics of big data that may feature the volume, variety, and veracity dimensions. These capabilities are fundamental to reason about entity integrity and essential for database design as functional dependencies are sources of data redundancy, and keys prevent data redundancy. Since SQL controls the occurrences of missing information with NOT NULL constraints, we also include possibilistic extensions of this constraint in our investigation. We illustrate applications, and establish axiomatic, algorithmic, and logical characterizations to the PTIME-complete implication problem associated with the combined class of these integrity constraints. Specifically, we show that keys behave just like goal clauses and FDs just like definite clauses in Boolean propositional Horn logic, and we can therefore apply linear resolution to reason about them.
Dynamics of Image Restoration by Markov Chain Monte Carlo and Belief Propagation

Equilibrium statistical mechanics has been applied to probabilistic information processing such as image restoration, error-correcting codes, and CDMA multi-user demodulation based on Bayesian statistics [1, 2]. This approach enables us to analytically estimate the performance of the results obtained for these problems and the dependence of the error-rate on the parameters such as the temperature [3, 4, 5]. However, only static properties of the solutions can be investigated through this approach. In the case of ”real” physical systems, the system relaxes into the equilibrium state spontaneously. Then it is enough to investigate the equilibrium properties of the systems. In the case of information processing, however, we need to devise algorithms to find the solution (equilibrium state). In order to obtain a good algorithm which gives permissible results with high speed and low computational cost, we have to investigate the dynamics of the information processing processes. Moreover, in the framework of Bayesian inference, the compuational cost to obtain the posterior distribution explodes. Then we have to resort to Monte Carlo simulations or approximations to obtain the estimate which is given by the average over the posterior probability distribution. In this paper, we investigate the dynamics of image restoration by Markov chain Monte Carlo (MCMC) and an iterative inference algorithm, termed the belief propagation (BP) [6, 7, 8]. When the image restoration is performed at a specific temperature, called the Nishimori temperature [1, 3], the pixel-wise error-rate of the results can be minimized. However, it is not clear whether the Nishimori temperature is optimal in the dynamics. It is important to describe the dynamics in order to examine dynamical properties such as the dependence of the relaxation speed on the temperature and the transient behavior
INDICES: Applying DDDAS Principles for Performance Interference-aware Cloud-to-Fog Application Migration

An increasing number of interactive applications and services, such as online gaming and cognitive assistance, are being hosted in the cloud because of the elastic properties and cost beneﬁts of distributed data centers. Despite these beneﬁts, the longer and often unpredictable end-to-end network latencies between the end user and the cloud can be detrimental to time-critical response to the applications. Although technology enablers, such as Cloudlets or Micro Data Centers (MDCs), are increasingly being leveraged by cloud infrastructure providers to address the network latency concerns, existing eﬀorts in re-provisioning services from the cloud to the MDCs seldom focus on ensuring that the performance properties of the migrated services are met. This chapter demonstrates the application of Dynamic Data Driven Applications Systems (DDDAS) principles in the systems software layer, to address these limitations by: (a) determining when to re-provision; (b) identifying the appropriate MDC and a suitable host within that MDC that meets the performance considerations of the applications; and (c) ensuring that the cloud service provider
Problems of exploitations of microwave reactors for nanoparticles synthesis

The advantages of microwave reactors in chemistry have been exploited in many fields, but the proper reactor design still make a challenge. Areas where microwave technology is applied are drying, chemical decomposition, powder synthesis, sintering, and chemical process control. This article goes through the measurement and construction material’s problems, especially in chemical synthesis of various nanoparticles. Issues of reactor’s operation modes, materials used for microwave devices, and solvents are discussed. Examples of nanoparticles reactor’s synthesis are given. The article describes typical problems encountered in research laboratories when preparing nanostructured powders. Problemy przy eksploatacji reaktorów mikrofalowych do syntezy nanocząstek Słowa kluczowe: mikrofale, synteza, wysokie ciśnienie, reakcje chemiczne, nanocząstki, reaktory. Streszczenie: Zalety technologii ogrzewania mikrofalowego są wykorzystane w wielu dziedzinach, między innymi w mineralizacji, syntezie proszków, syntezach organicznych, spiekaniu oraz w suszeniu. W artykule omówiono zagadnienia związane z pomiarami parametrów reakcji oraz konstrukcji reaktorów dedykowanych do syntez chemicznych. Główną uwagę poświęcono trybom pracy reaktorów, materiałom konstrukcyjnym, a także problemom eksploatacji w urządzeniach mikrofalowych dedykowanych do otrzymywania nanoproszków różnego typu i przeznaczenia. Artykuł pokazuje możliwe problemy, które mogą wystąpić w laboratorium badawczym w którym używa się reaktorów mikrofalowych, szczególnie w syntezach nanocząstek.
From Ought to Is: Moral Norms in Large-Scale Social Dilemmas

Von Borgstede, C. , Dahlstrand, U. , & Biel, A. From ought to is: Moral norms in large-scale social dilemmas. Göteborg Psychological Reports, 1999, 29, No. 5. This study examined the role of social norms in enhancing co-operation in large-scale social dilemmas. One survey and two experiments were conducted. In the survey, respondents were asked to estimate how they ought to act and their behavioural intention in each of five social dilemmas. In the first experiment, norm strength varied according to the percentage of similar others who thought one ought to co-operate. In the second experiment, norm strength was manipulated through how many similar others that had co-operated in the past in each situation. In both experiments, subjects rated their behavioural intention to co-operate. The results supported the role of norm strength. In the survey, for each situation there was a positive correlation between estimated norm strength and behavioural intention. In both experiments, there was a significant effect of norm strength on behavioural intention.
Shared Load(ing): Efficient Bulk Loading into Optimized Storage

Bulk loading into the optimized storage of a database system is a performance-critical task for data analysis, replication, and system integration. Depending on the storage layout, it may entail complex data transformations, making it also an expensive task that can disturb other workloads. In this work, we demonstrate that for a commercial, in-memory columnar system with compression-optimized storage, data transformation dominates the cost of bulk loading. The transformations may cause resource contention on a stressed system, resulting in poor and unpredictable performance for both bulk loading and query processing. To mitigate this problem, we propose Shared Loading , a distributed bulk loading mechanism that enables dynamically oﬄoad-ing deserialization and data transformation to the machine where the input data resides. In our evaluation we demonstrate that, for diﬀerent network bandwidths and data sets, Shared Loading accelerates bulk loading into compression-optimized storage and improves the performance and pre-dictability of queries running concurrently.
Japanese Postposing as an Indicator of Emerging Discourse Pragmatics1

Postposing is not an unusual phenomenon in Japanese casual speech. For example, Takahara & Peng (1981) report that 9.7% of adult utterances contain postposed elements. It is generally claimed that postposing is motivated mainly by discourse-pragmatic factors (see Section 2). The present study is aimed mainly at examining Japanese-speaking children’s discourse-pragmatic competence by examining their use of different types of postposing. I argue that, contrary to the claims by some existing studies, two-year-olds are quite good at inferring the activation state of referents in the listener’s mind, which is closely related to discourse-pragmatic features like focus and topicality (Lambrecht, 1994; Shimojo, 1995).
Consumer Reviews and Regulation: Evidence from NYC Restaurants

We investigate the informativeness of hygiene signals in online reviews, and their effect on consumer choice and restaurant hygiene. We first extract signals of hygiene from Yelp. Among all dimensions that regulators monitor through mandated restaurant inspections, we find that reviews are more informative about hygiene dimensions that consumers directly experience food temperature and pests - than other dimensions. Next, we find causal evidence that consumer demand is sensitive to these hygiene signals. We also find suggestive evidence that restaurants that are more exposed to Yelp are cleaner along dimensions for which online reviews are more informative.
Distributions and Variations of Two Estuarine Species of Composetia (Annelida: Nereididae) in the Ryukyu Islands, Southern Japan, with a New Record of Composetia tokashikiensis from Thailand

1 Graduate School of Science and Engineering, Kagoshima University, Kagoshima 890-0065, Japan E-mail: sato@sci.kagoshima-u.ac. jp 2 National Institute for Environmental Studies, Tsukuba, Ibaraki 305-8506, Japan 3 Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwanoha, Kashiwa, Chiba 277-8564, Japan 4 Sesoko Station, Tropical Biosphere Research Center, University of the Ryukyus, Sesoko, Motobu, Okinawa 905-0227, Japan 5 Marine and Coastal Resources Institute, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand 6 Corresponding author
Oscillator Noise Analysis (invited)

Oscillators are key components of many kinds of systems, particularly electronic and opto-electronic systems. Undesired perturbations, i.e. noise, that exist in practical systems adversely affect the spectral and timing properties of the signals generated by oscillators resulting in phase noiseandtiming jitter. These are key performance limiting factors, being major contributors to biterror-rate (BER) of RF and optical communication systems, and creating synchronization problems in clocked and sampled-data electronic systems. In noise analysis for oscillators, the key is figuring out how the various disturbances and noise sources in the oscillator end up as phase fluctuations. In doing so, one first computes transfer functions from the noise sources to the oscillator phase, or the sensitivity of the oscillator phase to these noise sources. In this paper, we first provide a discussion explaining the origins and the proper definition of this transfer or sensitivity function, followed by a critical review of the various numerical techniques for its computation that have been proposed by various authors over the past fifteen years.