Miracle-dz/UniFAR-FTUs huggingface dataset:
A corpus analysis of rock harmony

Abstract In this study, we report a corpus analysis of rock harmony. As a corpus, we used Rolling Stone magazine's list of the ‘500 Greatest Songs of All Time’; we took the 20 top-ranked songs from each decade (the 1950s through the 1990s), creating a set of 100 songs. Both authors analysed all 100 songs by hand, using conventional Roman numeral symbols. Agreement between the two sets of analyses was over 90 per cent. The analyses were encoded using a recursive notation, similar to a context-free grammar, allowing repeating sections to be encoded succinctly. The aggregate data was then subjected to a variety of statistical analyses. We examined the frequency of different chords and chord transitions. The results showed that IV is the most common chord after I and is especially common preceding the tonic. Other results concern the frequency of different root motions, patterns of co-occurrence between chords, and changes in harmonic practice across time.
An area-efficient high-throughput hybrid interconnection network for single-chip parallel processing

Single-chip parallel processing requires high bandwidth between processors and on-chip memory modules. A recently proposed Mesh-of-Trees (MoT) network provides high through put and low latency at relatively high area cost.In this paper, we introduce a hybrid MoT-BF network that combines MoT network with the area efficient butterfly network. We prove that the hybrid network reduces MoT network's area cost. Cycle-accurate simulation and post-layout results all show that significant area reduction can be achieved with negligible performance degradation, when operating at same clock rate.
Multiple treatment modalities for brain metastasis in patients with EGFR-mutant non-small-cell lung cancer

Background There are many controversies concerning the best management of epidermal growth factor receptor (EGFR)-mutant non-small-cell lung cancer (NSCLC) patients with brain metastases (BMs). The use of upfront EGFR tyrosine kinase inhibitors (TKIs) and the withholding of local therapies or upfront radiation therapies (RTs) remain controversial. Available treatment options include local therapies such as whole-brain radiation therapy (WBRT), stereotactic radiosurgery (SRS) and surgery, EGFR-TKIs, and chemotherapy. However, the optimal management of combination therapies is still under consideration. Patients and methods A total of 45 EGFR-mutated NSCLC patients with BMs were included. All patients successively received EGFR-TKIs, RT (WBRT or SRS), and chemotherapy between 2010 and 2015 at Zhejiang Cancer Hospital. Patient follow-up was conducted by telephone until February 2017. The treatment response was evaluated, and survival data were collected and analyzed by Kaplan–Meier analysis and the Cox regression method. Results The median overall survival (OS) was 28 months. Patients with the exon 19 deletion showed the strongest trend toward a longer median OS compared to patients with the exon 21 L858R mutation (not reached vs 26.5 months, P=0.0969). There was no difference in OS between the upfront RT group and the deferral group (26.5 vs 28 months, P=0.57), and similar results were found between the first-line chemotherapy group and the EGFR-TKI group (28 vs 23.2 months, P=0.499). In multivariate analysis, the prognosis correlated with EGFR mutation type (P=0.017). Conclusion EGFR-mutant NSCLC patients with BM benefited from the combination and sequential therapies of EGFR-TKIs, chemotherapy, and RTs. Patients with the EGFR exon 19 deletion may have a better OS. However, the optimal timing of RT interval remains to be explored.
The eco-club: a place for the becoming active citizen?

This paper makes a twofold contribution. Firstly it presents a typology of eco-clubs that can be used to contextualise eco-club observations by researchers and can support management of eco-clubs by practitioners. Secondly it explains how participation in eco-clubs provides a space for a child to both enact and develop as a citizen, a place for being-as-becoming. It shows how children navigate adult behaviours in these settings and how these experiences afford opportunities for the development of attributes including critical and analytical thinking that are commonly associated with citizenship education in England. In conclusion the paper makes links between these unintended outcomes and the liberal underpinnings of educational institutions in England.
Clinical Significance of αII-Spectrin Breakdown Products in Cerebrospinal Fluid after Severe Traumatic Brain Injury

Following traumatic brain injury (TBI), the cytoskeletal protein α-II-spectrin is proteolyzed by calpain and caspase-3 to signature breakdown products. To determine whether α -II-spectrin proteolysis is a potentially reliable biomarker for TBI in humans, the present study (1) examined levels of spectrin breakdown products (SBDPs) in cerebrospinal fluid (CSF) from adults with severe TBI and (2) examined the relationship between these levels, severity of injury, and clinical outcome. This prospective case control study enrolled 41 patients with severe TBI, defined by a Glasgow Coma Scale (GCS) score of ≤8, who underwent intraventricular intracranial pressure monitoring. Patients without TBI requiring CSF drainage for other medical reasons served as controls. Ventricular CSF was sampled from each patient at 6, 12, 24, 48, 72, 96, and 120 h following TBI and analyzed for SBDPs. Outcome was assessed using the Glasgow Outcome Score (GOS) 6 months after injury. Calpain and caspase-3 mediated SBDP levels in CSF w.
The Predictivity of Serum Biochemical Markers in Acute Biliary Pancreatitis

Background and Aim. There are no accurate methods of differentiating acute biliary pancreatitis. Obstructions of biliary ducts, idiopathic pancreatitis may be related with biliary origin which needs identification for acute treatment. We searched for the predictivity of biochemical markers in early acute biliary pancreatitis. Patients and Methods. Serum levels of AST (Aspartate Transaminase),ALT (Alanine Transaminase), ALP (Alkaline Phosphatase), GGT (Gamma Glutamyl Transferase), total bilirubin, direct bilirubin, LDH (Lactate Dehydrogenase), amylase, lipase, CRP (C-Reactive Protein) and WBC (White Blood Cell) were measured in 157 patients with acute pancreatitis. Biliary and nonbiliary pancreatitis were differentiated by Magnetic Resonance Cholangiopancreatography (MRCP), Endoscopic Retrograde Cholangiopancreatography (ERCP), Intraoperative Cholangiopancreatography (IOC). Cut-off points of admission biochemical markers with sensitivity, specifity, positive predictive value and negative predictive value were determined after identification of significant variables. Receiver Operator Curves were plotted for each biochemical marker. Results. Serum Alkaline Phosphatase, total bilirubin, direct bilirubin, amylase and lipase levels were significantly higher in biliary pancreatitis with a positive predictive value of 80.8%, 83.9%, 81.6%, 78.8%, 79.7%. Conclusion. Increased Alkaline Phosphatase,total bilirubin, direct bilirubin, amylase and lipase levels may be used in prediction of biliary pancreatitis.
The Coach-Created Motivational Climate, Young Athletes' Well-Being, and Intentions to Continue Participation

Drawing from the theories of self-determination (SDT; Ryan & Deci, 2000) achievement goals (AGT; Nicholls, 1989), and, in particular, Vallerand’s four-stage casual sequence embedded in his hierarchical model of intrinsic and extrinsic motivation (HMIEM; Vallerand, 1997, 2001), this study tested a motivational model in the sport context via structural equation modeling (SEM). Based on the responses of 370 young male soccer players (M age = 14.77), the path analysis results offered overall support for the proposed model. A perceived task-involving climate emerged as a positive predictor of the satisfaction of the three psychological needs, while a perceived ego-involving climate was a negative predictor of related-ness satisfaction. The results also support positive paths between satisfaction of the three psychological needs and intrinsic motivation, while intrinsic motivation was positively linked to subjective vitality and future intention to participate. The implications of the coach-created motivational.
Sentence Relations for Extractive Summarization with Deep Neural Networks

Sentence regression is a type of extractive summarization that achieves state-of-the-art performance and is commonly used in practical systems. The most challenging task within the sentence regression framework is to identify discriminative features to represent each sentence. In this article, we study the use of sentence relations, e.g., Contextual Sentence Relations (CSR), Title Sentence Relations (TSR), and Query Sentence Relations (QSR), so as to improve the performance of sentence regression. CSR, TSR, and QSR refer to the relations between a main body sentence and its local context, its document title, and a given query, respectively. We propose a deep neural network model, Sentence Relation-based Summarization (SRSum), that consists of five sub-models, PriorSum, CSRSum, TSRSum, QSRSum, and SFSum. PriorSum encodes the latent semantic meaning of a sentence using a bi-gram convolutional neural network. SFSum encodes the surface information of a sentence, e.g., sentence length, sentence position, and so on. CSRSum, TSRSum, and QSRSum are three sentence relation sub-models corresponding to CSR, TSR, and QSR, respectively. CSRSum evaluates the ability of each sentence to summarize its local contexts. Specifically, CSRSum applies a CSR-based word-level and sentence-level attention mechanism to simulate the context-aware reading of a human reader, where words and sentences that have anaphoric relations or local summarization abilities are easily remembered and paid attention to. TSRSum evaluates the semantic closeness of each sentence with respect to its title, which usually reflects the main ideas of a document. TSRSum applies a TSR-based attention mechanism to simulate people’s reading ability with the main idea (title) in mind. QSRSum evaluates the relevance of each sentence with given queries for the query-focused summarization. QSRSum applies a QSR-based attention mechanism to simulate the attentive reading of a human reader with some queries in mind. The mechanism can recognize which parts of the given queries are more likely answered by a sentence under consideration. Finally as a whole, SRSum automatically learns useful latent features by jointly learning representations of query sentences, content sentences, and title sentences as well as their relations. We conduct extensive experiments on six benchmark datasets, including generic multi-document summarization and query-focused multi-document summarization. On both tasks, SRSum achieves comparable or superior performance compared with state-of-the-art approaches in terms of multiple ROUGE metrics.
Early Intervention in Psychotic Relapse: Cognitive Approaches to Detection and Management

Clinical observation and retrospective and prospective studies of relapsing psychosis have demonstrated that early symptoms of decompensation are observable in one half to two thirds of patients over a period of 1 to 4 weeks. Whilst the sensitivity of prodromal symptoms is established, their specificity is less certain, particularly at the first episode. The appearance of an “at risk” mental state, if not leading to decompensation, may nevertheless be part of a “transitional” stage to psychosis that is affected by psychological factors concerning the attributions that are made about a change in mental life. The research on prodromal signs is reviewed, with three areas of focus: prodromes as continuous versus discrete phenomena, sensitivity and specificity, and early intervention studies. A psychological model of the transitional process is described with case examples, together with an exploration of its implications for early intervention, again illustrated by case material.
Software-Defined Service Networking: Performance Differentiation in Shared Multi-Tenant Cloud Applications

A composite cloud application can achieve economies of scale by sharing partner services between tenants at runtime, following the Single-Instance Multi-Tenancy (SIMT) model. However, supporting runtime sharing with tenant-specific functional and performance variations in an SIMT application is challenging. We address this challenge by proposing the Software-Defined Service Networking (SDSN) approach. SDSN realizes an SIMT composite cloud application with a managed service network and a set of managed virtual service networks (VSNs) that share the service network. The service network is formed by connecting a set of partner services according to their capabilities and interoperability. To achieve the functional and performance requirements of a particular tenant, a VSN composes a subset of the services under a specific configuration design over the service network, and regulates the interactions between the services concerned according to a specific regulation design. We describe how a service network and its VSNs are designed and enacted to achieve the SIMT objectives. We show the feasibility of SDSN, demonstrate the utilization benefits it achieves, and quantify the runtime overhead it incurs.
Axisymmetric, nearly inviscid circulations in non‐condensing radiative‐convective atmospheres

We study the steady‐state axisymmetric circulation of nearly inviscid, compressible atmospheres with no condensible component. Assuming simplified non‐grey radiative transfer and instantaneous adjustment to convective neutrality, we present an analytical theory for the depth, width and strength of the Hadley cell in terms of the planetary radius and rotation rate, insolation, optical depth and atmospheric composition. Under equatorially symmetric insolation, the Hadley cell width predicted by the present theory is generally very close to the Boussinesq, Newtonian cooling result of Held and Hou. We also introduce a new scaling theory for Hadley cell width under solstitial insolation conditions. The theory compares favourably with axisymmetric numerical results and also with full general‐circulation model simulations of Mars and Snowball Earth. Copyright © 2008 Royal Meteorological Society
Kerr-AdS/CFT correspondence in diverse dimensions

It was proposed recently that the near-horizon states of an extremal four-dimensional Kerr black hole could be identified with a certain chiral conformal field theory whose Virasoro algebra arises as an asymptotic symmetry algebra of the near-horizon Kerr geometry. Supportive evidence for the proposed duality came from the equality of the microscopic entropy of the CFT, calculated by means of the Cardy formula, and the Bekenstein-Hawking entropy of the extremal Kerr black hole. In this paper we examine the proposed Kerr/CFT correspondence in a broader context. In particular, we show that the microscopic entropy and the Bekenstein-Hawking entropy agree also for the extremal Kerr-AdS metric in four dimensions, and also for the extremal Kerr-AdS metrics in dimensions 5, 6 and 7. General formulae for all higher dimensions are also presented.
Exercício analítico sobre o método: aspectos linguageiros na atividade dialógica com trabalhadores de exploração e produção no setor petrolífero

Este artigo originou-se de um posicionamento critico sobre o modo como exercemos o oficio de pesquisadores. Intrigou-nos o que fazemos nas e com as interacoes de linguagem. E com esse olhar que se discute a atividade de dialogo realizada entre pesquisadores e um trabalhador (engenheiro de petroleo), que faz parte das atividades de pesquisa realizadas no projeto “Trabalho, saude e seguranca na industria petrolifera offshore da Bacia de Campos-RJ”. Entende-se que a necessidade de enfrentar o problema com a linguagem e anterior ao uso de metodos que envolvam atividades de dialogo, ou seja, a teorizacao com a linguagem comeca na concepcao e preparacao dos metodos. A analise realizada ressalta o desenvolvimento de um genero de discurso de novo tipo, surgido na historicidade de outros - conversa espontânea e entrevista - no interior da comunidade dialogica formada, a fim de dar suporte a promocao da saude e seguranca no trabalho do setor petrolifero.
Asymptotic Behavior of Error Exponents in the Wideband Regime

In this paper, we investigate the fundamental tradeoff between rate and bandwidth when a constraint is imposed on the error exponent. Specifically, we consider both additive white Gaussian noise (AWGN) and Rayleigh-fading channels where the input symbols are assumed to have a peak constraint. For the AWGN channel model, the optimal values of Rz(0) and Rz(0) are calculated, where Rz(1/B) is the maximum rate at which information can be transmitted over a channel with bandwidth B when the error-exponent is constrained to be greater than or equal to z. The computation of Rz (0) follows Gallager's infinite-bandwidth reliability function computation, while the computation of Rz(0) is new and parallels Verdu's second-order calculation for channel capacity. Based on these calculations, we say that a sequence of input distributions is near optimal if both Rz(0) and Rz(0) are achieved. We show that quaternary phase-shift keying (QPSK), a widely used signaling scheme, is near optimal within a large class of input distributions for the AWGN channel. Similar results are also established for a fading channel where full channel side information (CSI) is available at the receiver
The present universe in the Einstein frame, metric-affine R + 1/R gravity

We study the present, flat isotropic universe in 1/R-modified gravity. We use the Palatini (metric-affine) variational principle and the Einstein (metric-compatible connected) conformal frame. We show that the energy density scaling deviates from the usual scaling for nonrelativistic matter, and the largest deviation occurs in the present epoch. We find that the current deceleration parameter derived from the apparent matter density parameter is consistent with observations. There is also a small overlap between the predicted and observed values for the redshift derivative of the deceleration parameter. The predicted redshift of the deceleration-to-acceleration transition agrees with that in the ΛCDM model but it is larger than the value estimated from SNIa observations.
Spiritual beliefs may affect outcome of bereavement: prospective study

Abstract Objective: To explore the relation between spiritual beliefs and resolution of bereavement. Design: Prospective cohort study of people about to be bereaved with follow up continuing for 14 months after the death. Setting: A Marie Curie centre for specialist palliative care in London. Participants: 135 relatives and close friends of patients admitted to the centre with terminal illness. Main outcome measure: Core bereavement items, a standardised measure of grief, measured 1, 9, and 14 months after the patients' death. Results: People reporting no spiritual belief had not resolved their grief by 14 months after the death. Participants with strong spiritual beliefs resolved their grief progressively over the same period. People with low levels of belief showed little change in the first nine months but thereafter resolved their grief. These differences approached significance in a repeated measures analysis of variance (F=2.42, P=0.058). Strength of spiritual belief remained an important predictor after the explanatory power of relevant confounding variables was controlled for. At 14 months the difference between the group with no beliefs and the combined low and high belief groups was 7.30 (95% confidence interval 0.86 to 13.73) points on the core bereavement items scale. Adjusting for confounders in the final model reduced this difference to 4.64 (1.04 to 10.32) points. Conclusion: People who profess stronger spiritual beliefs seem to resolve their grief more rapidly and completely after the death of a close person than do people with no spiritual beliefs. What is already known on this topic Religious belief affects outcome of bereavement in families coping with the death of a child and in older people who are bereaved of a spouse Research is often retrospective, and causal connections are difficult to establish What this study adds People who profess stronger spiritual beliefs seem to resolve their grief more rapidly and completely after the death of a person close to them than do people with no spiritual beliefs Most palliative care units involve the family members and friends of the person dying; attention to spiritual matters may be an important component of this work
Gaussian particle filtering

Sequential Bayesian estimation for dynamic state space models involves recursive estimation of hidden states based on noisy observations. The update of filtering and predictive densities for nonlinear models with non-Gaussian noise using Monte Carlo particle filtering methods is considered. The Gaussian particle filter (GPF) is introduced, where densities are approximated as a single Gaussian, an assumption which is also made in the extended Kalman filter (EKF). It is analytically shown that, if the Gaussian approximations hold true, the GPF minimizes the mean square error of the estimates asymptotically. The simulations results indicate that the filter has improved performance compared to the EKF, especially for highly nonlinear models where the EKF can diverge.
Critical Roles of Kupffer Cells in the Pathogenesis of Alcoholic Liver Disease: From Basic Science to Clinical Trials

Alcoholic liver disease (ALD) encompasses a spectrum of liver injury ranging from steatosis to steatohepatitis, fibrosis, and finally cirrhosis. Accumulating evidences have demonstrated that Kupffer cells (KCs) play critical roles in the pathogenesis of both chronic and acute ALD. It has become clear that alcohol exposure can result in increased hepatic translocation of gut-sourced endotoxin/lipopolysaccharide, which is a strong M1 polarization inducer of KCs. The activated KCs then produce a large amount of reactive oxygen species (ROS), pro-inflammatory cytokines, and chemokines, which finally lead to liver injury. The critical roles of KCs and related inflammatory cascade in the pathogenesis of ALD make it a promising target in pharmaceutical drug developments for ALD treatment. Several drugs (such as rifaximin, pentoxifylline, and infliximab) have been evaluated or are under evaluation for ALD treatment in randomized clinical trials. Furthermore, screening pharmacological regulators for KCs toward M2 polarization may provide additional therapeutic agents. The combination of these potentially therapeutic drugs with hepatoprotective agents (such as zinc, melatonin, and silymarin) may bring encouraging results.
An Uncertainty Model Of Approximating The Analytical Solution To The Real Case In The Field Of Stress Prediction

Deterministic mechanics has been extensively used by engineers as they needed models that could predict the behavior of designed structures and components. However, modern engineering is now shifting to a new approach where the uncertainty analysis of the model inputs enables to obtain more accurate results. This paper presents an application of this new approach in the field of the stress analysis. In this case, a two-dimensional stress elasticity model is compared with the experimental stress results of five different size tubes measured with resistive strain gages. Theoretical and experimental uncertainties have been calculated by means of the Monte Carlo method and a weighted least square algorithm, respectively. The paper proposes that the analytical engineering models have to integrate an uncertainty component considering the uncertainties of the input data and phenomena observed during the test, that are difficult to adapt in the analytical model. The prediction will be thus improved, the theoretical result being much closer to the real case.