Miracle-dz/UniFAR-FTUs huggingface dataset:
Instagram Stories versus Facebook Wall: an advertising effectiveness analysis

Purpose This paper aims to investigate advertising effectiveness in Instagram and Facebook, the two most important social media platforms. It helps to understand which should be chosen depending on the target audience of the campaign. Design/methodology/approach The study examines advertising effectiveness in these social media in terms of ad attitude, ad intrusiveness and loyalty intentions. An online survey was conducted with 303 social media users. Age and gender are proposed as moderators. Findings The results indicate that Instagram Stories not only enhances consumer attitude toward ads but also increases perceived intrusiveness, compared to Facebook Wall. Millennials are more disturbed by Facebook Wall ads than non-millennial users. A triple interaction effect reveals that non-millennial men are more loyal toward Facebook Wall ads, whereas millennials of both genders and non-millennial women are more loyal to ads on Instagram Stories. Practical implications Advertisers should be aware of the differential features and segmentation possibilities in social media to better address their target audiences. More precisely, the research findings suggest that professionals should focus on Instagram Stories when targeting millennials and non-millennial women, and on Facebook Wall when targeting non-millennial men. Originality/value This study is one of the first to contribute to the literature on Instagram Stories as an advertising platform and compare its differential features with those of more established social media, such as Facebook Wall.
Characterization of the Lateral Distribution of Fluorescent Lipid in Binary-Constituent Lipid Monolayers by Principal Component Analysis

Lipid lateral organization in binary-constituent monolayers consisting of fluorescent and nonfluorescent lipids has been investigated by acquiring multiple emission spectra during measurement of each force-area isotherm. The emission spectra reflect BODIPY-labeled lipid surface concentration and lateral mixing with different nonfluorescent lipid species. Using principal component analysis (PCA) each spectrum could be approximated as the linear combination of only two principal vectors. One point on a plane could be associated with each spectrum, where the coordinates of the point are the coefficients of the linear combination. Points belonging to the same lipid constituents and experimental conditions form a curve on the plane, where each point belongs to a different mole fraction. The location and shape of the curve reflects the lateral organization of the fluorescent lipid mixed with a specific nonfluorescent lipid. The method provides massive data compression that preserves and emphasizes key information pertaining to lipid distribution in different lipid monolayer phases. Collectively, the capacity of PCA for handling large spectral data sets, the nanoscale resolution afforded by the fluorescence signal, and the inherent versatility of monolayers for characterization of lipid lateral interactions enable significantly enhanced resolution of lipid lateral organizational changes induced by different lipid compositions.
Knowledge Sharing among Scientific Research Teams in Chinese Universities Based on Kgm

Knowledge sharing is one of the hot issues in the theoretical field and practical world at the current. It remains to be further studied on what level knowledge sharing among Chinese universities is at and what mechanism can affect it. This paper presents a model of conceptual and measurement of knowledge sharing among scientific research teams(KSASRT) in universities and its relevant influential factors with consideration of the special situation in China, aiming at developing an integrative understanding of the factors supporting Chinese scholars’ knowledge sharing behaviour based on the knowledge governance mechanism(KGM). Moreover, we analyze the mediating of sense of ownership, the typical mentality for the Chinese, between formal knowledge governance and knowledge sharing behaviour as well as informal knowledge governance and knowledge sharing behaviour. In addition, we consider the moderate impact of affiliation to discipline on the influence mechanism those knowledge governance variables on knowledge sharing due to the particular university environment. This study not only makes a useful contribution to the theoretical understanding of knowledge governance and knowledge sharing in Chinese universities, but also offers some interesting directions for further empirical research of higher education and scientific research institutions in China.
An evolved buffer status aware packet scheduling algorithm for mixed services in the downlink of OFDM system

In this paper, the mainly used packet scheduling algorithms in wireless communication system will be introduced. The 3rd Generation partnership long term evolution (3GPP LTE) will provide QoS guaranteed multimedia services which demand much higher downlink packet rate and lower HOL packet delay. So, a suitable packet scheduling algorithm is becoming more and more important in 3GPP LTE system. The performance of the 3GPP LTE system is mainly evaluated in terms of average delay for real-time service, packet loss for non-real-time service, system throughput and so on. Simulation is made to show that the widely used M-LWDF algorithm provides great performance for real-time services. But for non-realtime services, the performance of M-LWDF algorithm is not as well because it doesn't consider the packet loss caused by buffer overflow. We'll introduce an evolved M-LWDF which provides better performance with mixed services.
A zero-IF 60GHz transceiver in 65nm CMOS with ≫ 3.5Gb/s links

This paper presents a 1.2 V 60 GHz zero-IF transceiver fabricated in a 65 nm CMOS process with a digital back-end. The chip includes a receiver with 14.7 dB gain, a low 5.6 dB noise figure, a 60 GHz LO distribution tree, a 64 GHz static frequency divider, and a direct BPSK modulator operating over the 55-65 GHz band at data rates exceeding 3.5 Gb/s. The chip consumes 374 mW (232 mW) from 1.2 V (1.0 V) and occupies 1.28 times 0.81 mm2. The transceiver was characterized over temperature up to 85degC and for power supplies down to 1 V. A manufacturability study of 60 GHz radio circuits is presented with measurements of transistors, the low-noise amplifier, and the receiver on typical and fast process splits. The transceiver performance is demonstrated using a 3.5 Gb/s 2-meter wireless transmit-receive link over the 55-64 GHz range.
Tailoring the spectral response of add/drop single and multiple resonators in silicon-on-insulator

Channel dropping waveguide filters based on single and multiple resonators in silicon-on-insulator (SOI) technology are of great interest due to their compactness and high wavelength selectivity, which is a desirable feature for photonic modulators, detectors, and other optically integrated components in telecommunication systems, in particular for wavelength division multiplexing (WDM) systems. Particular advantage of these filters is that they are capable of producing relatively large free spectral range (FSR) as well as narrow 3-dB bandwidth of the filter resonances. Herein we report experimental results and discuss the possibility of designing mono-mode and (nearly) polarization independent SOI ring and racetrack resonators with the FSR in excess of 30 nm.
What Determines University Students’ Online Consumer Credit? Evidence From China

In recent years, online consumer credit in China has boomed. Many Chinese undergraduates are interested in utilizing online consumer credit to meet their increasing consumption needs. However, the explosion in online loans to students has created many problems. Based on a survey of 286 undergraduate students from four universities in Beijing, the capital of China, this study provides an empirical analysis of the economic and social determinants of undergraduates’ consumer credit. The estimation results indicate that online consumer credit demand is positively related to years of schooling, monthly living expenses, financial support from the student’s university, and consumption preferences. However, other factors, including major field of study, highest level of parental education, and advertisements in the media and on campus, have negative influences on undergraduates’ online consumer credit. The findings have significant practical and policy implications. Specifically, it is necessary and important for the government, universities, and families to coordinate to guide and educate college students to utilize online loans properly and wisely.
Incremental predictive value of 152 single nucleotide polymorphisms in the 10-year risk prediction of incident coronary heart disease: the Rotterdam Study.

OBJECTIVE To examine the incremental predictive value of genetic risk scores of coronary heart disease (CHD) in the 10-year risk prediction of incident CHD. METHODS In 5899 subjects, we used 152 single nucleotide polymorphisms (SNPs) associated with coronary artery disease by the CARDIoGRAMplusC4D consortium to construct three weighted genetic risk scores: (i) GRS(gws) based on 49 genome-wide significant SNPs; (ii) GRS(fdr) based on 103 suggestively associated SNPs; and (iii) GRS(all) based on all 152 SNPs. We examined the changes in discrimination and reclassification of incident CHD when adding the genetic risk scores to models including traditional risk factors. We repeated the analysis for prevalent CHD. RESULTS The genetic risk scores were associated with incident CHD despite adjustment for traditional risk factors and family history: participants had a 13% higher rate of CHD per standard deviation increase in GRS(all). GRS(all )improved the C-statistic by 0.006 [95% confidence interval (CI): 0.000, 0.013] beyond age and sex, 0.003 (95% CI: -0.001, 0.008) beyond traditional risk factors and 0.003 (95% CI: -0.001, 0.007) beyond traditional risk factors and family history. The genetic risk scores did not improve reclassification. GRS(all) strongly improved both discrimination and reclassification of prevalent CHD, even beyond traditional risk factors and family history, with a C-statistic improvement of 0.009 (0.003, 0.015). CONCLUSIONS Although the genetic risk scores based on 152 SNPs were associated with incident CHD, they did not improve risk prediction. This discrepancy may be the result of SNP discovery for prevalent rather than incident CHD, since the SNPs do improve prediction for prevalent disease.
On the second moment of the distance distribution of binary codes

Lower bounds are presented on the second moment of the distance distribution of binary codes. These bounds are used to obtain upper bounds on the size of codes whose maximum distance is close to their minimum distance. It is shown how such results can be applied to bound from below the smallest attainable ratio between the maximum distance and the minimum distance of codes. Improved bounds are then provided for the special case of constant-weight codes
Research on the intelligent decision support system of the urban emergency command in the cloud computing environment

With more and more urban emergencies, the improvement of responses requires real-time and high-performance analysis of intelligent decision in the urban emergency command system. This paper summarizes the features of intelligent decision in the urban emergency command, and from decision-making environment, decision-making resources, collaborative solving and intelligent decision system as operation and construction of intelligent decision support system in the cloud computing environment, discusses advantages and problems to be addressed.
Sustainable Performance Bounds at Receivers for Contiguously Framed Server Streamed Video Data for VCR like Functions for Online Video on Demand

online video on demand (VoD) system should make available any video at any time with smooth VCR like functions such as fast forward, fast backward during playback. Providing them by unicast streaming (dedicated channels) is expensive and ties up resources in networks causing blocks. Video data are bulky and need high bandwidth for real time playback in networked storage and playback environment. The resource blocking manifolds when multiple users go online. Sustainable performance can be attained by identifying conditions and bounds for networks, servers and the receiver equipment. Modern video data follows framed structures and makes use of relative coding. Data streaming and buffering has to support not merely simple linear playback but also non sequential users VCR like interactions. They were quite simple under electro-mechanical playback/storage technologies such as VCRs, cd/dvd players. Modern information networks use non-linear compression, non sequential storage, distributed data approaches and that too are coupled with random communication delays. Together they pose challenges against interactive VoD. This paper presents the performance bounds and conditions for achieving VCR like functions for frame based online streamed data from servers, necessary to achieve sustainable performance at receivers.
Quality Indicators but Not Admission Volumes of Neonatal Intensive Care Units Are Effective in Reducing Mortality Rates of Preterm Infants

Aim To investigate how two different strategies to form larger neonatal intensive care units (NICU) impact neonatal mortality rates. Methods Cross-sectional study modeling admission volumes and mortality rates of 177,086 VLBW infants aggregated into 862 NICUs. Cumulative 3-year data was abstracted from Vermont Oxford Network. The model simulated a reduction in number of NICUs by stepwise exclusion using either admission volume (VOL) or quality (QUAL) cut-offs. After randomly redirecting infants of excluded to remaining NICUs resulting system mortality rates were calculated with and without adjusting for effects of experience levels (EL) using published data to reflect effects of different team-to-patient exposure. Results The quality-based strategy is more effective in reducing mortality; while VOL alone was not able to reduce system mortality, QUAL already achieved a 5% improvement after reducing 8% of NICUs and redirecting 6% of infants. Including “EL”, a 5% improvement of mortality was achieved by reducing 77% (VOL) vs. 7% (QUAL) of NICUs and redirecting 54% (VOL) vs. 5% (QUAL) of VLBW infants, respectively. Conclusion While a critical number of admissions is needed to maintain skills this study emphasizes the importance of including quality parameters to restructure neonatal care. The findings can be generalized to other medical fields.
A Patient-Centric Attribute Based Access Control Scheme for Secure Sharing of Personal Health Records Using Cloud Computing

Personal health records (PHR) are an emerging health information exchange model, which facilitates PHR owners to efficiently share their private health data among a variety of users including healthcare professionals as well as family and friends. PHRs are usually outsourced and stored in third-party cloud platforms which relieves PHR owners from the burden of managing their PHR data while achieving better availability of health data. However, outsourcing private health data raises significant privacy concerns because there is a higher risk of leaking health information to unauthorized parties. To ensure PHR owners' control of their outsourced PHR data, attribute based encryption (ABE) mechanisms have been considered. However, such existing PHR solutions suffer from inflexibility in access especially due to the limitations associated with ABE mechanisms. In this paper, we propose a patient-centric, attribute based PHR sharing scheme which can provide flexible access for both professional users such as doctors as well as personal users such as family and friends. In the proposed solution, each PHR file is encrypted and stored in a healthcare cloud along with an attribute based access policy which controls the access to the encrypted resource. We use an attribute based authorization mechanism to authorize access requesting users to access a given PHR resource based on the associated access policy while utilizing a proxy re-encryption scheme to facilitate the authorized users to decrypt the required PHR files. Furthermore, we have demonstrated that the proposed scheme can overcome the access inflexibility issues associated with the existing ABE based PHR sharing schemes while maintaining an adequate level of security and privacy.
Fuzzy c-means clustering with a new regularization term for image segmentation

We present a new fuzzy c-means algorithm for image segmentation by introducing a novel spatially constrained Student's t-distribution and a new regularization term. Firstly, considering that conventional distribution models lack spatial information and the multivariate Student's t-distribution is heavily tailed, we propose a new way to incorporate spatial information between neighboring pixels into the Student's t-distribution based on Markov random field (MRF) in order to enhance robustness. Secondly, the new regularization term, inspired by the geodesic active contour (GAC) with a strong ability in capturing boundary, can preserve the details of edges and further enhance its robustness to noise and outliers by capitalizing on the local context information and edge information. Finally, in comparison to other Markov random fields that are complex and computationally expensive, the parameters are easily optimized with the EM algorithm in our proposed method. The proposed algorithm demonstrates the robustness and effectiveness, compared with other state-of-the-art methods on synthetic and real images.
THE HEAVY PRECIPITATION EVENT OF MAY-JUNE 2013 IN THE UPPER DANUBE AND ELBE BASINS

SEPTEMBER 2014 AMERICAN METEOROLOGICAL SOCIETY | precipitation amount is only the 18th highest of the analogue time series, showing that even if the atmospheric conditions were favorable to wet conditions over Southern Europe, they do not fully explain the exceptional character of the precipitation anomaly. We conjecture that a potential amplifying cause could be that the oceanic air masses carried by regimes of westerly winds were moister than usual due to warmer SSTs in the Northeast Atlantic (between 0.5 and 1.5 K above normal). We performed an additional analysis by searching circulation analogues among the years of warm Northeast Atlantic SST (i.e., above the 1971–2000 average). The mean monthly European precipitation amounts reconstructed from such “filtered” analogues exceed those of “regular” analogues, picked over 1948–2012 (not shown). Although this is not a definite proof, this pleads in favor of this mechanism. Conclusions. Our analysis suggests that the high precipitation amounts were mainly caused by the cyclonic conditions (NAO– and Atlantic Ridge) that prevailed during the late winter (February and March) over the North Atlantic. Such conditions brought moist air over Southern Europe. This conclusion is drawn from the significant correlations over Europe between the observed and the analogue precipitation, deduced from the North Atlantic atmospheric circulation. The extreme precipitation amounts, not fully explained by the atmospheric circulation, are conjectured to be due to a warmer Northeast Atlantic with more moist air (Trigo et al. 2013). The trend in winter precipitation over Southern Europe is negative but not statistically significant. The frequency of cyclonic regimes over Scandinavia (NAO– and Atlantic Ridge) has also slightly decreased, albeit not significantly (not shown).
Dimitri: A Low-Cost Compliant Humanoid Torso Designed for Cognitive Robotics Research

This work presents Dimitri, an open-software & open-hardware robot torso equipped with modular low cost compliant joints, built to allow advanced research on human-robot interaction, force-aware object manipulation and environment exploration. The robot has 13 DOFs: 4 DOFs with series elastic actuators in each arm, 3 DOFs for roll, pitch and yaw of the waist, and 2 DOFs for head pan and tilt. Our main innovation is in the employment of a polyurethane based compliant spring system attached to conventional robotics servo motors, turning them into low-cost series elastic actuators (SEAs). To demonstrate the robot's capabilities in the context of cognitive robotics research and goal-directed behavior, we successfully employed a multiple timescale recurrent neural network (MTRNN), enabling the robot to reproduce combined prototypical movement patterns previously trained via interactive demonstration.
Congestion management in a smart grid via shadow prices

Abstract We consider a distribution grid interconnecting a number of consumers with flexible power consumption. Each consumer is under the jurisdiction of exactly one balancing responsible party (BRP), who buys energy at a day-ahead electricity market on behalf of the consumer. We illustrate how BRPs can utilize the flexibility of the consumers to minimize the imbalance between the consumed and the purchased energy thereby avoiding trading balancing energy at unfavorable prices. Further we show how shadow prices on the distribution lines can be used to resolve grid congestion without information sharing between the BRPs.
XML Multidimensional Modelling and Querying

As XML becomes ubiquitous and XML storage and processing becomes more efficient, the range of use cases for these technologies widens daily. One promising area is the integration of XML and data warehouses, where an XML-native database stores multidimensional data and processes OLAP queries written in the XQuery interrogation language. This paper explores issues arising in the implementation of such a data warehouse. We first compare approaches for multidimensional data modelling in XML, then describe how typical OLAP queries on these models can be expressed in XQuery. We then show how, regardless of the model, the grouping features of XQuery 1.1 improve performance and readability of these queries. Finally, we evaluate the performance of query evaluation in each modelling choice using the eXist database, which we extended with a grouping clause implementation.
Parallel Hash Function Based on Block Cipher

Although a variety of hash functions have been proposed, few of them works efficiently in parallel computing environment. An algorithm for parallel hash function construction based on block cipher is proposed. Not only message blocks but also the orders of them are considered in the process of constructing hash values. This hash function can be expected to have the same computational security against target attack, free-start target attack, collision attack, semi-free-start collision attack, and free-start collision attack as DM scheme. Theoretical analysis and computer simulation indicate that the proposed algorithm can satisfy the performance requirements of hash function. It is simple, efficient, practicable, and reliable. These properties make it a good choice for hash on parallel computing platform for E-commerce.
Robust Designs for Templates of Directional Extraction Cellular Neural Network with Application

The cellular neural/nonlinear network (CNN) is a powerful tool for image and video signal processing, robotic and biological visions. In this paper, the selected objects extraction (SOE) CNN was generated to directional extraction (DE) CNN which enhance the capabilities of CNNs and improve their efficiency. Based on analytical approach, a theorem of designing robust templates for DE CNNs was established, which provides parameter inequalities to determine parameter intervals for implementing the corresponding functions. Several examples are provided to illustrate the effectiveness of the theorem for extracting selected objects directionally in binary images.