Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Influencing Users' Reading Satisfaction of Articles on WeChat

As social media, such as WeChat, develops rapidly, huge amounts of information are becoming more easily accessible. However, both the limited time and short attention span of people lead to competition among articles, and a large number of them end up being buried in the sea of information. Based on the ELM theory, this paper analyzes the factors influencing users’ reading satisfaction of articles. The results show that the title information amount, the title activeness and the readability of the article positively affect the reading satisfaction of users. The amount of information in an article has a negative influence on the satisfaction of users. It is important for an article to have an appropriate number of pictures and be published at a specific time period. Furthermore, use of advertising and marketing vocabulary in articles will reduce users’ reading satisfaction. Finally, relevant theoretical and practical implications are discussed.
the interaction of each segment in question with all segments in answer

Answer selection plays a key role in community question answering (CQA). Previous research on answer selection usually ignores the problems of redundancy and noise prevalent in CQA. In this paper, we propose to treat different text segments differently and design a novel attentive interactive neural network (AI-NN) to focus on those text segments useful to answer selection. The representations of question and answer are first learned by convolutional neural networks (CNNs) or other neural network architectures. Then AI-NN learns interactions of each paired segments of two texts. Row-wise and column-wise pooling are used afterwards to collect the interactions. We adopt attention mechanism to measure the importance of each segment and combine the interactions to obtain fixed-length representations for question and answer. Experimental results on CQA dataset in SemEval-2016 demonstrate that AI-NN outperforms state-of-the-art method.
3MS Normative Data for Elderly African Americans

The Modified Mini-Mental State Examination (3MS) is an expanded and modified version of the Mini-Mental Status Exam (MMSE). Although the MMSE has achieved widespread clinical use as a brief cognitive screen, the utility of the measure to ascertain cognitive impairment is constrained by a limited set of abilities sampled, a narrow range of possible scores, floor and ceiling effects, and by a paucity of normative data for use with older adults from ethnically diverse backgrounds. Research demonstrates that the reliability, validity, and sensitivity of the 3MS are superior to that of the MMSE in detecting cognitive impairment. To date there has been minimal research investigating the usefulness of the 3MS with African American older adults. The current study examined the influence of demographic characteristics on the 3MS in a community-dwelling sample of 238 African American older adults (60–84 years). Age, gender, and education accounted for moderate amounts of variance in 3MS performance. Based on these results, normative tables for 3MS scores, stratified by age and with score adjustments for education and gender, are provided.
Recurrent Neural Networks for Speech Recognition

We introduce recurrent neural networks (RNNs) for acoustic modeling which are unfolded in time for a fixed number of time steps. The proposed models are feedforward networks with the property that the unfolded layers which correspond to the recurrent layer have time-shifted inputs and tied weight matrices. Besides the temporal depth due to unfolding, hierarchical processing depth is added by means of several non-recurrent hidden layers inserted between the unfolded layers and the output layer. The training of these models: (a) has a complexity that is comparable to deep neural networks (DNNs) with the same number of layers; (b) can be done on frame-randomized minibatches; (c) can be implemented efficiently through matrix-matrix operations on GPU architectures which makes it scalable for large tasks. Experimental results on the Switchboard 300 hours English conversational telephony task show a 5% relative improvement in word error rate over state-of-the-art DNNs trained on FMLLR features with i-vector speaker adaptation and hessianfree sequence discriminative training.
Successful treatment of solar urticaria with anti‐immunoglobulin E therapy

anaesthesiologists and oncologists), practising doctors treated anaphylactic patients regularly. The average number of treated patients per practice was low, but considering the high number of practising doctors, they deliver a broad number of anaphylactic cases. The reported triggers of anaphylaxis are in line with data from the literature. However, the most common trigger factor of anaphylaxis reported by these doctors, who perform SCIT on a regular basis, was SCIT. This observation points to the necessity of gaining more information on severe reactions during SCIT, which are probably underreported. There is a possibility that the reported anaphylactic reactions were not diagnosed properly, as only 19% of the practitioners were specialized in allergy. A recall-bias also needs consideration. Still, our data clearly show that SCIT seems to be an important cause of anaphylaxis in private practice and are in line with a previous survey from Bernstein et al. (4). In conclusion, anaphylaxis is relevant in private practices and more epidemiological data are urgently needed.
Market efficiency, volatility behaviour and asset pricing analysis of the oil & gas companies quoted on the London Stock Exchange.

This research assessed market efficiency, volatility behaviour, asset pricing, and oil price risk exposure of the oil and gas companies quoted on the London Stock Exchange with the aim of providing fresh evidence on the pricing dynamics in this sector. In market efficiency analysis, efficient market hypothesis (EMH) and random walk hypothesis were tested using a mix of statistical tools such as Autocorrelation Function, Ljung-Box Q-Statistics, Runs Test, Variance Ratio Test, and BDS test for independence. To confirm the results from these parametric and non-parametric tools, technical trading and filter rules, and moving average based rules were also employed to assess the possibility of making abnormal profit from the stocks under study. In seasonality analysis, stock returns were tested for the day-of-the-week and month-of-the-year effects. Volatility processes, estimation, and forecasting were undertaken using both asymmetric and symmetric volatility models such as GARCH (1,1) and Threshold ARCH or TARCH (1,1,1) to investigate the volatility behaviour of stock returns. To determine the effect of an exogenous variable on volatility, Brent crude oil price was used in the models formulated as a variance regressor for the assessment of its impact on volatility. The models were then used to forecast the price volatility taking note of the forecasting errors for the determination of the most effective forecasting model. International oil price risk exposure of the oil and gas sector was measured using a multi-factor asset pricing model similar to that developed by Fama and French (1993). Factors used in the asset pricing model are assessed for statistical significance and relevance in the pricing of oil and gas stocks. Data used in the study were mainly the adjusted daily closing prices of oil and gas companies quoted on the exchange. Five indices of FTSE All Share, FTSE 100, FTSE UK Oil and Gas, FTSE UK Oil and Gas Producers, and FTSE AIM SS Oil and Gas were also included in the analysis. Our findings suggest that technical trading rules cannot be used to gain abnormal returns, which could be regarded as a sign for weak form market efficiency. The results from seasonality analysis have not shown any day-of-the-week or monthly effect in stock returns. The pattern of stock returns volatility can be estimated and forecasted, although the relationship between risk and return cannot be generalised. On a similar note, the relationship between volatility attributes and the efficient market hypothesis cannot be clearly established. However, we have established that volatility modelling can significantly measure the quantum of risk in the oil and gas sector. Market risk, oil price risk, size and book-to-market related factors in asset pricing models were found to be relevant in the determination of asset prices of the oil and gas companies.
Differential Effects of Diabetes on Adipocyte and Liver Phosphotyrosine and Phosphoserine Phosphatase Activities

We examined the activities of particulate and cytosolic phosphotyrosine phosphatase (PTPase) and phosphoserine phosphatase (PSPase) in adipocytes and livers of diabetic rats. PTPase activity was assessed with [32P]tyrosine-phosphorylated insulin receptor (IR), whereas PSPase activity was assayed with [32P]serine-phosphorylated glycogen synthase. Diabetes increased adipocyte particulate PTPase activity and enhanced IR dephosphorylation by 75% on the 2nd, 93% on the 14th, and 108% on the 30th day. In contrast, cytosolic PTPase activity decreased by 78% on the 14th and 45% on the 30th day (no change on the 2nd day). Similar changes were observed with PSPase (increased activity in particulate and decreased in cytosolic). Insulin therapy for 14 or 30 days restored PTPase and PSPase activities in both fractions. Vanadate, despite rapid normalization of glycemia, restored these activities only after 30 days of therapy. Diabetes-related changes in liver PTPase activity were observed on the 14th day only. At this time, it was increased in both particulate and cytosolic fractions. There was spontaneous normalization of the liver PTPase activity at 30 days of diabetes. In contrast, liver cytosolic PSPase activity was significantly inhibited and not normalized by the 30th day of disease without therapy. In summary, diabetes appears to induce tissue-specific changes in PTPase and PSPase activities resulting in significant alterations in dephosphorylation of IR and glycogen synthase. Moreover, there appears to be a differential regulation of PTPase and PSPase activities in diabetes, particularly in the liver.
A Study of Sustainable Business Models For Small and Medium Enterprises in China

Although studies of sustainability business models are increasingly popular in the literature, most businesses in China seldom include sustainability elements or the triple bottom line concept in their business model design. Given the fact that China has developed and become a stronger player in the global economy, sustainable practices and triple-bottom-line, business models (social, economic and environmental sustainability), should be better represented. This paper illustrates the Triple Bottom Line (TBL) concept of business models for Small and Medium Enterprises (SMEs) in China. It also examines Chinese SMEs’ perception of their own corporate development in reference to sustainability and their understanding of the TBL concept. A Pyramid of Chinese SMEs’ Sustainability Values and a Chinese SMEs’ Sustainability Credit Score (SCS) are designed and informed by the literature review; a SWOT analysis from the TBL perspective and a survey that focuses on Chinese SMEs’ perceptions of sustainability are developed. Sustainable business models for Chinese SMEs can be customized by using the two tools, SWOT analysis and SCS.
Pulse wave velocity in patients with severe head injury a pilot study

The study aimed to determine the potential of pulse wave velocity measurements to reflect changes in compliant cerebral arteries/arterioles in head injured patients. The approach utilizes the electrocardiogram and intracranial pressure signals to measure the wave transit time between heart and cranial cavity. Thirty five clinical records of nineteen head injured patients, with different levels of cerebrovascular pressure-reactivity response, were investigated through the study. Results were compared with magnitude of normalized transfer function at the fundamental cardiac frequency. In patients with intact cerebrovascular pressure-reactivity, magnitude of normalized transfer function at the fundamental cardiac component was found to be highly correlated with pulse wave transit time.
Differential regulation of GDF‐5 and FGF‐2/4 by immobilisation in ovo exposes distinct roles in joint formation

Members of the fibroblast growth factor (FGF) family and growth and differentiation factor 5 (GDF‐5) have been implicated in joint specification, but their roles in subsequent cavity formation are not defined. Cavity formation (cavitation) depends upon limb movement in embryonic chicks and factors involved in joint formation are often identified by their expression at the joint‐line. We have sought support for the roles of FGF‐2, FGF‐4, and GDF‐5 in cavitation by defining expression patterns, immunohistochemically, during joint formation and establishing whether these are modified by in ovo immobilisation. We found that FGF‐2 exhibited low level nuclear expression in chondrocytes and fibrocartilage cells close to presumptive joints, but showed significantly higher expression levels in cells at, and directly bordering, the forming joint cavity. This high‐level joint line FGF‐2 expression was selectively diminished in immobilised limbs. In contrast, we show that FGF‐4 does not exhibit differential joint‐line expression and was unaffected by immobilisation. GDF‐5 protein also failed to show joint‐line selective labelling, and although immobilisation induced a cartilaginous fusion across presumptive joints, it did not affect cellular GDF‐5 expression patterns. Examining changes in GDF‐5 expression in response to a direct mechanical strain stimulus in primary embryonic chick articular surface (AS) cells in vitro discloses only small mechanically‐induced reductions in GDF‐5 expression, suggesting that GDF‐5 does not exert a direct positive contribution to the mechano‐dependent joint cavitation process. This notion was supported by retroviral overexpression of UDPGD, a characteristic factor involved in hyaluronan (HA) accumulation at presumptive joint lines, which was also found to produce small decreases in AS cell GDF‐5 expression. These findings support a direct mechano‐dependent role for FGF‐2, but not FGF‐4, in the cavitation process and indicate that GDF‐5 is likely to influence chondrogenesis positively without contributing directly to joint cavity formation. Developmental Dynamics 235:826–834, 2006. © 2006 Wiley‐Liss, Inc.
Retirement decisions in the context of the abolishment of mandatory retirement

Purpose - The purpose of this study is to use the theory of planned behavior to test a structural model of retirement timing intentions of older workers in Canada following the abolishment of mandatory retirement. Design/methodology/approach - A survey of 281 working individuals was conducted in order to test a model of retirement timing. Findings - The model was a good fit to the data. Attitudes toward people at work predicted people's attitudes toward work. Attitudes toward work predicted age and life perceptions. Age and life perceptions predicted control. Control predicted social/policy influences, and finally social/policy influences predicted planned retirement age. Research limitations/implications - The main limitations of this study were that the authors tested a model based on self report data. Furthermore the data were correlational therefore they cannot make causal inferences. Practical implications - Work attitudes predict people's own perceptions of their life and age. And these are predictive of norms. Organizations need to consider people's perceptions of their work, if they are to retain workers past the normal retirement age. Implementing work practices/policies, e.g. flexible work, become key considerations for these organizations. Originality/value - The authors now have empirical support for the contention that norms are important for investigating the short term effects of lifting mandatory retirement, but also when considering the long term effects that changing mandatory retirement policies may have on individual's retirement timing. Furthermore, they have a more comprehensive model of retirement timing.
Self-managing power management unit

Power consumption is a very important aspect in almost every electronic system design. To minimize the power consumption, many advanced power-reduction techniques have been developed based on a power management. In modern systems the power management unit (PMU) is typically a complex circuit and therefore should also be targeted by power-efficient design techniques. This paper is focused on the design of self-managing PMU that can manage its own power and thus reduce the overall system power consumption. We show that the special power state machine design in the PMU allows to power inactive transition logic elements down during the idle time. We illustrate this design strategy on a simple example where approximately 70% leakage power reduction in transition logic was achieved.
Trauma in pregnancy: Diagnosis and management of two patients in one

LEARNING OBJECTIVES Identify the most common causes of maternal trauma and secondary obstetric complications Recognize key predictors of adverse fetal outcome in significant maternal injury Discuss the development of unrecognized shock in the injured mother as well as proper diagnosis and potential sequelae Because maternal hemodynamic parameters do not accurately predict fetal distress, concurrent fetal assessment and maternal stabilization is necessary.
Role of outer membrane barrier in efflux-mediated tetracycline resistance of Escherichia coli

Accumulation of tetracycline in Escherichia coli was studied to determine its permeation pathway and to provide a basis for understanding efflux-mediated resistance. Passage of tetracycline across the outer membrane appeared to occur preferentially via the porin OmpF, with tetracycline in its magnesium-bound form. Rapid efflux of magnesium-chelated tetracycline from the periplasm was observed. In E. coli cells that do not contain exogenous tetracycline resistance genes, the steady-state level of tetracycline accumulation was decreased when porins were absent or when the fraction of Mg(2+)-chelated tetracycline was small. This is best explained by assuming the presence of a low-level endogenous active efflux system that bypasses the outer membrane barrier. When influx of tetracycline is slowed, this efflux is able to reduce the accumulation of tetracycline in the cytoplasm. In contrast, we found no evidence of a special outer membrane bypass mechanism for high-level efflux via the Tet protein, which is an inner membrane efflux pump coded for by exogenous tetA genes. Fractionation and equilibrium density gradient centrifugation experiments showed that the Tet protein is not localized to regions of inner and outer membrane adhesion. Furthermore, a high concentration of tetracycline was found in the compartment that rapidly equilibrated with the medium, most probably the periplasm, of Tet-containing E. coli cells, and the level of tetracycline accumulation in Tet-containing cells was not diminished by the mutational loss of the OmpF porin. These results suggest that the Tet protein, in contrast to the endogenous efflux system(s), pumps magnesium-chelated tetracycline into the periplasm. A quantitative model of tetracycline fluxes in E. coli cells of various types is presented.
Insights into services and innovation in the knowledge intensive economy

Tekes, the National Technology Agency, is the main financing organisationfor applied and industrial R&D in Finland. Funding is granted from the statebudget.Tekes’ primary objective is to promote the competitiveness of Finnish indus-try and the service sector by technological means. Activities are aimed at di-versifying production structures, increasing productivity and exports andcreating a foundation for employment and social well-being. Tekes financesappliedandindustrialR&DinFinlandtotheextentofnearly400millioneurosannually. The Tekes network in Finland and overseas offers excellent chan-nels for cooperation with Finnish companies, universities and research insti-tutes.
Study on Service Quality and Customer Satisfaction on the Mobile Phone Provider : A Case of Postgraduate Students in Al-Fateh University of Libya

This study was to find out whether there is a relationship between service quality and customer satisfaction. This study examined the relationship between service quality dimensions (reliability,tangibles,responsiveness,assurance and empathy) and customer satisfaction among mobile phone customers of two mobile phone service providers - the Al Mader and Libyana at the Alfateh University in Libya. This study is designed to provide the benefit for marketing practitioners. It is hoped that the study offer a holistic and in-depth overview of how customer forms, experience and exploit their satisfaction towards services that offered by the mobile phone provider.There are five dimensions service quality which are: reliability, tangibles, responsiveness, assurance and empathy. A total of 205 postgraduate students participated in the study. Data were collected using questionnaire. The questionnaire consisted of 23 items measuring service quality and 8 items on customer satisfaction. On the whole,the results of the study suggest that there exist a significant relationship between the five dimensions of service quality and customer satisfaction.
Daytime Sleepiness in Epilepsy Patients Receiving Topiramate Monotherapy

Summary: Purpose: Limited research has focused to date on objective neurophysiological evaluation of daytime sleepiness in patients treated with newer antiepileptic drugs (AEDs), especially when used as monotherapy. This study was aimed at assessing occurrence of daytime sleepiness in newly diagnosed, drug‐naïve patients with partial epilepsy receiving initial topiramate (TPM) monotherapy.
Investigating the relationship between software process improvement, situational change, and business success in software SMEs

While we have learned a great deal from Software Process Improvement (SPI) research to date, no earlier study has been designed from the outset to examine the relationship between SPI and business success in software development small- to- medium- sized companies (software SMEs). Since business processes are generally acknowledged as having an important role to play in supporting business success, it follows that the software development process (a large and complex component of the overall business process) has an important contribution to make in supporting business success in software development companies. However, to date we have very little evidence regarding the role of SPI in supporting business success, especially for software SMEs. The need for SPI is dependent on the extent of situational change in a software development setting, and therefore any examination of the relationship between SPI and business success would be deficient if it did not also examine the extent of situational change. Therefore, this thesis describes a novel approach to examining SPI, situational change and business success in software development companies. Furthermore, having discharged this new approach to 15 software SMEs, this thesis makes the important new discovery that the amount of SPI implemented in a software SME is positively associated with the extent of business success – especially when the degree of situational change is taken into account. This thesis describes the first published study to examine the relationship between SPI, situational change and business success in software SMEs. The findings suggest that there are business benefits to implementing SPI in software SMEs, with the degree of situational change being an important factor informing SPI initiatives. Furthermore, this research has yielded valuable new insights into the nature of SPI, situational change and business success in software SMEs.