Miracle-dz/UniFAR-FTUs huggingface dataset:
Binding of Metal Ions to Melanin and Their Effects on the Aerobic Reactivity¶

Abstract The binding of Mg(II), Ca(II), Zn(II), Cu(II) and Fe(III) to ETDA-washed Sepia melanin is quantified by inductively coupled plasma mass spectrometry. By monitoring the solution pH change associated with metal uptake, it is concluded that Mg(II), Ca(II) and Zn(II) bind to carboxylic acid groups in melanin, Cu(II) binds to hydroxyl (OH) groups and Fe(III) binds to OH or amine groups. The aerobic reactivity of melanins with different metal contents is analyzed by examining their ability to cause strand breaks in supercoiled pUC18 DNA. Cu(II)- and Fe(III)-enriched melanins induce the most damage. Hydroxyl radical, ·OH, is proposed to be one of the reactive oxygen species responsible.
Micro-cooler enhancements by barrier interface analysis

A novel gallium arsenide (GaAs) based micro-cooler design, previously analysed both experimentally and by an analytical Heat Transfer (HT) model, has been simulated using a self-consistent Ensemble Monte Carlo (EMC) model for a more in depth analysis of the thermionic cooling in the device. The best fit to the experimental data was found and was used in conjunction with the HT model to estimate the cooler-contact resistance. The cooling results from EMC indicated that the cooling power of the device is highly dependent on the charge distribution across the leading interface. Alteration of this charge distribution via interface extensions on the nanometre scale has shown to produce significant changes in cooler performance.
Intelligent machine parts with surface embedded sensors under wear resistant coatings

A surface embedded temperature sensor has successfully been fabricated on a customized industrial bolt. The aluminum substrate of the bolt was electrically isolated by plasma electrolytic oxidation followed by the fabrication of a type T thermocouple and finally covered by a wear resistant DLC coating. This bolt is part of our work to develop smart machine parts that are capable of reporting their current physical status under real working conditions enabling both new tools for condition based maintenance and information gathering for process optimization. By adding intelligence to the surfaces of machine parts we also reduce the need of traditional packaging of discrete sensor components.
The analysis of the solutions for harmonic elimination PWM bipolar waveform with a specialized differential evolution algorithm

The selective harmonic elimination pulse-width modulation (SHE-PWM) offers multiple solutions depending of the number of switching angles or problem formulation, each one with different harmonic performance. This paper proposes a novel approach to the SHE-PWM problem, using a minimization technique based on a specialized evolutionary algorithm that can find all solutions for a given modulation index. The algorithm, based on the Differential Evolution (DE), is tested on the bipolar waveform with quarter-wave symmetry for three-phase inverters. In order to provide a complete analysis of the solutions, four performance indicators are used: a harmonic distortion factor that takes into account the first two (HDF2) and the first four (HDF4) significant harmonics, the total harmonic distortion (THD) and weighted THD (WTHD) of the output line voltage. The distribution of the switching angles in the first quarter-period is also analyzed and a general formulation that allows the identification of the best solution from the ones found for N switching angles is proposed.
Reliance Investments, Expectation Damages and Hidden Information

A setting of reliance investments is explored where one of the parties to a contract obtains private information concerning his utility or cost function that remains hidden to the other party and to courts. As a consequence, it will be a difficult task to award expectation damages corrrectly to a party with private information who sufffers from breach of contract. While a revelation mechanism would exist that leads to the first best solution, assessing expectation damages correctly turns out to be at odds with ex post efficiency. I conclude that, under asymmetric information, the performance of expectation damages falls short of what more general mechanisms could achieve.
Asynchronous Bidirectional Decoding for Neural Machine Translation

The dominant neural machine translation (NMT) models apply unified attentional encoder-decoder neural networks for translation. Traditionally, the NMT decoders adopt recurrent neural networks (RNNs) to perform translation in a left-to-right manner, leaving the target-side contexts generated from right to left unexploited during translation. In this paper, we equip the conventional attentional encoder-decoder NMT framework with a backward decoder, in order to explore bidirectional decoding for NMT. Attending to the hidden state sequence produced by the encoder, our backward decoder first learns to generate the target-side hidden state sequence from right to left. Then, the forward decoder performs translation in the forward direction, while in each translation prediction timestep, it simultaneously applies two attention models to consider the source-side and reverse target-side hidden states, respectively. With this new architecture, our model is able to fully exploit source- and target-side contexts to improve translation quality altogether. Experimental results on NIST Chinese-English and WMT English-German translation tasks demonstrate that our model achieves substantial improvements over the conventional NMT by 3.14 and 1.38 BLEU points, respectively. The source code of this work can be obtained from https://github.com/DeepLearnXMU/ABDNMT.
Matching and Bargaining in Dynamic Markets

ensures that exits from the market are matched precisely by new entries, thus maintaining the numbers of the two types at a steady level. With this and other "stationary" assumptions, they demonstrate the existence of a unique equilibrium. Binmore and Herrero (1984, 1987) show that equilibria in such markets are unique, without any stationary assumptions at all, provided that the agents are equipped with discount factors satisfying 0? 8< 1 (i = 1, 2). The current paper characterizes the unique equilibrium, for the case of continuous time and infinite numbers of agents of both types, in terms of the probabilities (iF(t) (i = 1, 2) that an agent of type i will not find a bargaining partner between time 0 and t. In principle, these probabilities, 'F1(t) and ? 2(t), can be calculated from a knowledge of the search technology and the rates at which agents enter and leave the market. We carry through this enterprise for the simplest of search technologies in the case when agents of both types flow into the market at an equal exogenously determined rate.2 (The rate at which agents flow out of the market is determined by the equilibrium
The Effectiveness of the Youth Training Scheme as a Manpower Policy

Using data from the 1985 and 1986 Scottish People's Surveys, this paper attempts to measure the effectiveness of the Youth Training Scheme by estimating the impact of Youth Training Scheme participation on both the subsequent probability of employment and the subsequent earnings potential. The Youth Training Scheme is found to have a positive impact on the probability of employment. After allowing for possible sample-selection bias owing to participation being nonrandom, there are indications that the Youth Training Scheme may have a positive impact on subsequent wages, but the estimates are so imprecise that it was not possible to draw any statistically significant conclusions about wage effects. Copyright 1990 by The London School of Economics and Political Science.
Exploring open information via event network†

Abstract It is a challenging task to discover information from a large amount of data in an open domain. 1 In this paper, an event network framework is proposed to address this challenge. It is in fact an empirical construct for exploring open information, composed of three steps: document event detection, event network construction and event network analysis. First, documents are clustered into document events for reducing the impact of noisy and heterogeneous resources. Secondly, linguistic units (e.g., named entities or entity relations) are extracted from each document event and combined into an event network, which enables content-oriented retrieval. Then, in the final step, techniques such as social network or complex network can be applied to analyze the event network for exploring open information. In the implementation section, we provide examples of exploring open information via event network.
CHARACTERIZATION OF FEMALE PREFERENCE FUNCTIONS FOR DROSOPHILA MONTANA COURTSHIP SONG AND A TEST OF THE TEMPERATURE COUPLING HYPOTHESIS

Abstract Female mate preferences are a major cause of diversity and elaboration in male sexual traits. Here we characterize the shape of female preference functions for pulse length and carrier frequency of the courtship song of Drosophila montana by fitting both parametric and nonparametric functions to the incidence of female receptive gestures to synthetic song. Preference functions for both traits are strongly directional. That for pulse length is linear and favors short pulses, whereas that for carrier frequency is stabilizing in shape, but would exert directional preferences favoring males with high carrier frequency. The preference for carrier frequency has probably evolved under sexual selection, but reasons for the preference for short pulses are less apparent. We also examine the effect of ambient temperature on the carrier frequency of male song and on the preference function for carrier frequency. For many similar acoustic communication systems, temperature coupling, a compensatory effect of temperature on preference functions, is thought to maintain coordination between preferences and signals. However, although the carrier frequency of D. montana song is highly dependent on environmental temperature, there is no temperature coupling of the female preference function. We suggest that temperature coupling may often arise due to a common effect of temperature on song and preference, rather than be an advantageous characteristic whose function is to maintain coordination in temperature-affected communication systems. Corresponding Editor: H. L. Gibbs
Novel method to estimate and display cerebral cortical degeneration using diffusion‐weighted magnetic resonance imaging

Previous studies have shown that diffusion‐weighted imaging (DWI) is useful for detecting microstructural degradation of neuronal tissue in neurodegenerative diseases. Mapping of cortical degeneration by DWI is potentially useful, but is extremely difficult, mainly because of the partial volume effect resulting from the surrounding cerebrospinal fluid (CSF). In this study a novel method to map and display the cortical damage in neurodegenerative diseases using DWI is proposed. Instead of measuring the cortical diffusivity, the diffusivity of white matter directly beneath the cortex, where neuronal fibers enter or exit the overlying cortex, was measured and mapped onto the cortical surface. The map was viewed in a form of three‐dimensional (3D) rendering. Patients with Alzheimer's disease (AD) showed cortical damage in the temporal and parietal cortices, and a patient with frontotemporal dementia showed damage in the frontal lobe, consistent with the typical topographical distribution of histopathological cortical damage in each of these diseases. The results suggest that subcortical diffusivity closely reflects cortical damage, and that the current mapping technique is a promising tool for evaluating neurodegenerative diseases. Magn Reson Med 54:455–459, 2005. © 2005 Wiley‐Liss, Inc.
Need for Affect and Attitudes Toward Drugs: The Mediating Role of Values

ABSTRACT Human values and affective traits were found to predict attitudes toward the use of different types of drugs (e.g., alcohol, marijuana, and other illegal drugs). In this study (N = 196, Mage = 23.09), we aimed to gain a more comprehensive understanding of those predictors of attitudes toward drug use in a mediated structural equation model, providing a better overview of a possible motivational path that drives to such a risky behavior. Specifically, we predicted and found that the relations between need for affect and attitudes toward drug use were mediated by excitement values. Also, results showed that excitement values and need for affect positively predicted attitudes toward the use of drugs, whereas normative values predicted it negatively. The pattern of results remained the same when we investigated attitudes toward alcohol, marijuana, or illegal drugs separately. Overall, the findings indicate that emotions operate via excitement and normative values to influence risk behavior.
NF-Y coassociates with FOS at promoters, enhancers, repetitive elements, and inactive chromatin regions, and is stereo-positioned with growth-controlling transcription factors

NF-Y, a trimeric transcription factor (TF) composed of two histone-like subunits (NF-YB and NF-YC) and a sequence-specific subunit (NF-YA), binds to the CCAAT motif, a common promoter element. Genome-wide mapping reveals 5000–15,000 NF-Y binding sites depending on the cell type, with the NF-YA and NF-YB subunits binding asymmetrically with respect to the CCAAT motif. Despite being characterized as a proximal promoter TF, only 25% of NF-Y sites map to promoters. A comparable number of NF-Y sites are located at enhancers, many of which are tissue specific, and nearly half of the NF-Y sites are in select subclasses of HERV LTR repeats. Unlike most TFs, NF-Y can access its target DNA motif in inactive (nonmodified) or polycomb-repressed chromatin domains. Unexpectedly, NF-Y extensively colocalizes with FOS in all genomic contexts, and this often occurs in the absence of JUN and the AP-1 motif. NF-Y also coassociates with a select cluster of growth-controlling and oncogenic TFs, consistent with the abundance of CCAAT motifs in the promoters of genes overexpressed in cancer. Interestingly, NF-Y and several growth-controlling TFs bind in a stereo-specific manner, suggesting a mechanism for cooperative action at promoters and enhancers. Our results indicate that NF-Y is not merely a commonly used proximal promoter TF, but rather performs a more diverse set of biological functions, many of which are likely to involve coassociation with FOS.
Molecular Surveillance of Chronic Myeloid Leukemia Patients in the Imatinib Era – Evaluation of Response and Resistance

Residual disease in chronic myeloid leukemia patients may be assessed by various molecular methods. After imatinib treatment a significant proportion of patients achieve complete cytogenetic remission (CCR) and a sensitive method is necessary to monitor treatment response and to detect early signs of relapse. Reverse-transcriptase polymerase chain reaction (RT-PCR) is by far the most sensitive approach to assess residual disease in this group of patients. Qualitative PCR methods give only limited information about the residual leukemic mass. Quantitative RT-PCR (Q-PCR) assays enable to monitor the kinetics of residual BCR-ABL transcripts over time in patients with a good response to imatinib. Early Q-PCR results on imatinib treatment can help to identify individuals who are likely to have a good response. In chronic phase patients after CCR, Q-PCR may identify patients who are likely to continue with their CCR or to relapse and may help to optimize treatment for this group of patients. The definition of molecular surrogate endpoints beyond CCR for studies which are currently planned demands standardization of the nomenclature and of technologies to measure these targets.
Twitter Summarization Based on Social Network and Sparse Reconstruction

With the rapid growth of microblogging services, such as Twitter, a vast of short and noisy messages are produced by millions of users, which makes people difficult to quickly grasp essential information of their interested topics. In this paper, we study extractive topic-oriented Twitter summarization as a solution to address this problem. Traditional summarization methods only consider text information, which is insufficient in social media situation. Existing Twitter summarization techniques rarely explore relations between tweets explicitly, ignoring that information can spread along the social network. Inspired by social theories that expression consistence and expression contagion are observed in social network, we propose a novel approach for Twitter summarization in short and noisy situation by integrating Social Network and Sparse Reconstruction (SNSR). We explore whether social relations can help Twitter summarization, modeling relations between tweets described as the social regularization and integrating it into the group sparse optimization framework. It conducts a sparse reconstruction process by selecting tweets that can best reconstruct the original tweets in a specific topic, with considering coverage and sparsity. We simultaneously design the diversity regularization to remove redundancy. In particular, we present a mathematical optimization formulation and develop an efficient algorithm to solve it. Due to the lack of public corpus, we construct the gold standard twitter summary datasets for 12 different topics. Experimental results on this datasets show the effectiveness of our framework for handling the large scale short and noisy messages in social media.
The Modernization and Improvement of Government and Public Services: Social Exclusion—New Language, New Challenges for Local Authorities

National policy initiatives such as the establishment of the Social Exclusion Unit and the new government strategy, ‘Opportunity for All’, have provided a new stimulus to local authorities to develop more effective local strategies to promote social inclusion. The major features of current local initiatives are described, and the leadership and management challenges presented to local authorities are discussed. However, for local government to tackle social exclusion and poverty more effectively it is also necessary for the structural and regional dimensions of social exclusion to be taken more into account by central government, and for a new equilibrium between central, regional and local initiative to be achieved.
Pharmacokinetics of controlled-release polymers in the subarachnoid space after subarachnoid hemorrhage in rabbits.

OBJECT Implantation of controlled-release polymers into the subarachnoid space to deliver drugs for treatment of vasospasm after subarachnoid hemorrhage (SAH) is currently of interest. Among the issues regarding local delivery of drugs in the subarachnoid space, however, are the extent of diffusion and the rate of release of the loaded agents. In this study Evans blue dye (EBD) was loaded into controlled-release polymers and its pharmacokinetic properties were determined in vitro and in vivo by using a rabbit model of SAH. METHODS Ethylene-vinyl acetate copolymer (EVAc) was loaded 40% (w:w) with EBD and its pharmacokinetics were spectrophotometrically determined in vitro by examining three EBD-EVAc polymers. Additional polymers were implanted either into the frontal lobe or into the cisterna magna of 16 New Zealand White rabbits. Subarachnoid hemorrhage was induced in eight of the animals by an injection of 1.5 ml of arterial blood into the cisterna magna. The animals were killed 3 or 14 days postoperatively, their brains and spinal cords were harvested, and samples of each were placed in formamide for dye extraction and quantification. Specimens were examined macroscopically and the concentrations of EBD were determined with the aid of a spectrophotometer. The EBD-EVAc polymers continuously released EBD over a 133-day period. The controlled release of the dye into the subarachnoid space in either location resulted in staining of the entire central nervous system (CNS) in rabbits when the polymers were placed either on the frontal lobe or in the cisterna magna. The EBD diffusion covered a distance of at least 40 cm. The presence of blood in the subarachnoid space did not interfere with the diffusion. CONCLUSIONS In this study the authors define the rate and extent of diffusion of EBD from controlled-release polymers placed in the subarachnoid space under conditions of SAH. Evans blue dye diffused through the entire rabbit CNS, covering a distance greater than that of the longest dimension of the hemicircumference of the subarachnoid space around the human brain. The pharmacokinetic properties of EBD-EVAc polymers are comparable to those of antivasospasm agents that are successfully used in animal models of SAH.
The Hittite Assembly

It has been widely held that during the earliest period of Hittite history the king was elected by the nobility, meeting in assembly for this purpose. Examination of the available attestations of the two Hittite words for political assembly, pankuand tuliva-, which differ only in their syntactic employment, demonstrates that the Hittite assembly was not the gathering of a class, but rather primarily a judicial body, subject even in this area to the will of the monarch. It is further suggested that this assembly was composed of the members of the higher state bureaucracy, and not of the nobility per se, although the actual relationship between the two groups remains to be elucidated. No evidence for an elective system of kingship is found.
How does a standardized care plan facilitate the practice of pharmaceutical care planning in mental health settings across Scotland?

Objectives The aim of the project was to understand how a standardized generic pharmaceutical care plan could facilitate the practice of mental health pharmacy care planning across Scotland. Specifically, the objectives were to examine whether the plan was easy to use, collected appropriate information and enabled communication on discharge; when the plan was used in relation to multidisciplinary meetings; how useful it was to other team members; whether it changed the way pharmacists worked; and who wrote in the plan. A further objective was to examine whether there were barriers to implementing the plan and how these may be overcome.