LLukas22/scidocs huggingface dataset:
Social media metrics for new research evaluation

This chapter approaches, both from a theoretical and practical perspective, the most important principles and conceptual frameworks that can be considered in the application of social media metrics for scientific evaluation. We propose conceptually valid uses for social media metrics in research evaluation. The chapter discusses frameworks and uses of these metrics as well as principles and recommendations for the consideration and application of current (and potentially new) metrics in research evaluation.
Eclipse as a requirements engineering environment

This paper introduces CPE, the CIRCE Plugin for Eclipse. The CPE adds to the open-source development environment Eclipse the ability of writing and analysing software requirements written in natural language. Models of the software described by the requirements can be examined on-line during the requirements writing process. Initial UML models and skeleton Java code can be generated from the requirements, and imported into Eclipse for further editing and analysis.
Initial Orienting Towards Sexually Relevant Stimuli: Preliminary Evidence from Eye Movement Measures

It has been proposed that sexual stimuli will be processed in a comparable manner to other evolutionarily meaningful stimuli (such as spiders or snakes) and therefore elicit an attentional bias and more attentional engagement (Spiering and Everaerd, In E. Janssen (Ed.), The psychophysiology of sex (pp. 166-183). Bloomington: Indiana University Press, 2007). To investigate early and late attentional processes while looking at sexual stimuli, heterosexual men (n = 12) viewed pairs of sexually preferred (images of women) and sexually non-preferred images (images of girls, boys or men), while eye movements were measured. Early attentional processing (initial orienting) was assessed by the number of first fixations and late attentional processing (maintenance of attention) was assessed by relative fixation time. Results showed that relative fixation time was significantly longer for sexually preferred stimuli than for sexually non-preferred stimuli. Furthermore, the first fixation was more often directed towards the preferred sexual stimulus, when simultaneously presented with a non-sexually preferred stimulus. Thus, the current study showed for the first time an attentional bias to sexually relevant stimuli when presented simultaneously with sexually irrelevant pictures. This finding, along with the discovery that heterosexual men maintained their attention to sexually relevant stimuli, highlights the importance of investigating early and late attentional processes while viewing sexual stimuli. Furthermore, the current study showed that sexually relevant stimuli are favored by the human attentional system.
Effect of long term consumption of probiotic milk on infections in children attending day care centres: double blind, randomised trial.

OBJECTIVE
To examine whether long term consumption of a probiotic milk could reduce gastrointestinal and respiratory infections in children in day care centres.


DESIGN
Randomised, double blind, placebo controlled study over seven months.


SETTING
18 day care centres in Helsinki, Finland.


PARTICIPANTS
571 healthy children aged 1-6 years: 282 (mean (SD) age 4.6 (1.5) years) in the intervention group and 289 (mean (SD) age 4.4 (1.5) years) in the control group.


INTERVENTION
Milk with or without Lactobacillus GG. Average daily consumption of milk in both groups was 260 ml.


MAIN OUTCOME MEASURES
Number of days with respiratory and gastrointestinal symptoms, absences from day care because of illness, respiratory tract infections diagnosed by a doctor, and course of antibiotics.


RESULTS
Children in the Lactobacillus group had fewer days of absence from day care because of illness (4.9 (95% confidence interval 4.4 to 5.5) v 5.8 (5.3 to 6.4) days, 16% difference, P=0.03; age adjusted 5.1 (4.6 to 5.6) v 5.7 (5.2 to 6.3) days, 11% difference, P=0.09). There was also a relative reduction of 17% in the number of children suffering from respiratory infections with complications and lower respiratory tract infections (unadjusted absolute % reduction -8.6 (-17.2 to -0.1), P=0.05; age adjusted odds ratio 0.75 (0.52 to 1.09), P=0.13) and a 19% relative reduction in antibiotic treatments for respiratory infection (unadjusted absolute % reduction -9.6 (-18.2 to -1.0), P=0.03; adjusted odds ratio 0.72 (0.50 to 1.03), P=0.08) in the Lactobacillus group.


CONCLUSIONS
Lactobacillus GG may reduce respiratory infections and their severity among children in day care. The effects of the probiotic Lactobacillus GG were modest but consistently in the same direction.
GIS in Teacher Education - Facilitating GIS Applications in Secondary School Geography

Geographical Information Systems (GIS) have not yet been widely introduced to secondary school geography education in Finland. However, in the outline of the new national curriculum for upper secondary schools, GIS is incorporated into the elective, advanced geography course. The Finnish universities will therefore face new challenges in reconstructing their degree requirements for geography teachers in the future. GIS applications may help teachers to facilitate the implementation of constructivist and inquiry-based learning environments at secondary schools. Despite its potentials, many secondary schools in Finland still lack the resources and know-how required to use GIS in education. This paper shows the findings of a questionnaire survey focusing on in-service geography teachers at upper secondary schools in Finland.
Intraday stock price forecasting based on variational mode decomposition

This paper presents a hybrid predictive model for forecasting intraday stock prices. The proposed model hybridizes the variational mode decomposition (VMD) which is a new multiresolution technique with backpropagation neural network (BPNN). The VMD is used to decompose price series into a sum of variational modes (VM). The extracted VM are used to train BPNN. Besides, particle swarm optimization (PSO) is employed for BPNN initial weights optimization. Experimental results from a set of six stocks show the superiority of the hybrid VMD–PSO–BPNN predictive model over the baseline predictive model eywords: ariational mode decomposition rtificial neural networks article swarm optimization ntraday stock price which is a PSO–BPNN model trained with past prices. © 2015 Elsevier B.V. All rights reserved.
Estimation of radar-rainfall error spatial correlation

The study presents a theoretical framework for estimating the radar-rainfall error spatial correlation (ESC) using data from relatively dense rain gauge networks. The error is defined as the difference between the radar estimate and the corresponding true areal rainfall. The method is analogous to the error variance separation that corrects the error variance of a radar-rainfall product for gauge representativeness errors. The study demonstrates the necessity to consider the area-point uncertainties while estimating the spatial correlation structure in the radar-rainfall errors. To validate the method, the authors conduct a Monte Carlo simulation experiment with synthetic fields with known error spatial correlation structure. These tests reveal that the proposed method, which accounts for the area-point distortions in the estimation of radar-rainfall ESC, performs very effectively. The authors then apply the method to estimate the ESC of the National Weather Service’s standard hourly radar-rainfall products, known as digital precipitation arrays (DPA). Data from the Oklahoma Micronet rain gauge network (with the grid step of about 5 km) are used as the ground reference for the DPAs. This application shows that the radar-rainfall errors are spatially correlated with a correlation distance of about 20 km. The results also demonstrate that the spatial correlations of radar-gauge differences are considerably underestimated, especially at small distances, as the areapoint uncertainties are ignored.
MOVIH-IDS: A mobile-visualization hybrid intrusion detection system

A novel hybrid artificial intelligent system for Intrusion Detection, called MOVIH-IDS, is presented in this study. A hybrid model built by means of a multiagent system that incorporates an unsupervised connectionist Intrusion Detection System (IDS) has been defined to guaranty an efficient computer network security architecture. This hybrid IDS facilitates the intrusion detection in dynamic networks, in a more flexible and adaptable manner. The proposed improvement of the system in this paper includes deliberative agents characterized by the use of an unsupervised connectionist model to identify intrusions in computer networks. This hybrid IDS has been probed through several real anomalous situations related to the Simple Network Management Protocol as it is potentially dangerous. Experimental results probed the successful detection of such attacks through MOVIH-IDS.
Phase II study of the antibody drug conjugate trastuzumab-DM1 for the treatment of human epidermal growth factor receptor 2 (HER2)-positive breast cancer after prior HER2-directed therapy.

PURPOSE
The antibody-drug conjugate trastuzumab-DM1 (T-DM1) combines the biologic activity of trastuzumab with targeted delivery of a potent antimicrotubule agent, DM1, to human epidermal growth factor receptor 2 (HER2)-overexpressing cancer cells. Based on results from a phase I study that showed T-DM1 was well tolerated at the maximum-tolerated dose of 3.6 mg/kg every 3 weeks, with evidence of efficacy, in patients with HER2-positive metastatic breast cancer (MBC) who were previously treated with trastuzumab, we conducted a phase II study to further define the safety and efficacy of T-DM1 in this patient population.


PATIENTS AND METHODS
This report describes a single-arm phase II study (TDM4258g) that assessed efficacy and safety of intravenous T-DM1 (3.6 mg/kg every 3 weeks) in patients with HER2-positive MBC who had tumor progression after prior treatment with HER2-directed therapy and who had received prior chemotherapy.


RESULTS
With a follow-up of ≥ 12 months among 112 treated patients, the objective response rate by independent assessment was 25.9% (95% CI, 18.4% to 34.4%). Median duration of response was not reached as a result of insufficient events (lower limit of 95% CI, 6.2 months), and median progression-free survival time was 4.6 months (95% CI, 3.9 to 8.6 months). The response rates were higher among patients with confirmed HER2-positive tumors (immunohistochemistry 3+ or fluorescent in situ hybridization positive) by retrospective central testing (n = 74). Higher response rates were also observed in patients whose tumors expressed ≥ median HER2 levels by quantitative reverse transcriptase polymerase chain reaction for HER2 expression, compared with patients who had less than median HER2 levels. T-DM1 was well tolerated with no dose-limiting cardiotoxicity. Most adverse events (AEs) were grade 1 or 2; the most frequent grade ≥ 3 AEs were hypokalemia (8.9%), thrombocytopenia (8.0%), and fatigue (4.5%).


CONCLUSION
T-DM1 has robust single-agent activity in patients with heavily pretreated, HER2-positive MBC and is well tolerated at the recommended phase II dose.
A 25mA 0.13µm CMOS LDO regulator with power-supply rejection better than −56dB up to 10MHz using a feedforward ripple-cancellation technique

Low drop-out (LDO) linear regulators have become a key building block in portable communication systems for power management ICs. The LDO usually comes after a switching DC-DC converter to reduce the output ripples and provide a regulated voltage source for noise-sensitive blocks. For a higher level of integration, there is a need to increase the operating frequency of the switching converters [1]. This necessitates a subsequent LDO regulator with high ripple rejection at frequencies up to several MHz. These LDO regulators should also provide a low drop-out voltage to cope with the low supply voltage of the state-of-the-art CMOS technologies. In addition, due to the feedback nature of the system, the LDO should be stable for a wide range of supply currents while consuming a very low quiescent current.
Sensor fusion system for pre-crash safety system

The objective of developing "ITS" is to realize driver convenience systems represented by ACC (adaptive cruise control), and to create active safety systems that realize an excellent vehicle safety performance. From February of last year we have, for the first time in the world, succeeded in creating a commercially available mass production pre-crash safety system (PCS) for excellent vehicle safety through developing and further evolving ITS technology applied to ACC. As the first crucial step in realizing an obstacle detection sensor was our development of "millimeter-wave radar." The second step was the successful development of a sensor fusion system integrating the millimeter-wave radar and a newly developed image sensor into the PCS system. By combining the vision-based obstacle detection system with the radar-based obstacle detection system, we have realized excellent obstacle detection performance.
Global Monthly Water Scarcity: Blue Water Footprints versus Blue Water Availability

Freshwater scarcity is a growing concern, placing considerable importance on the accuracy of indicators used to characterize and map water scarcity worldwide. We improve upon past efforts by using estimates of blue water footprints (consumptive use of ground- and surface water flows) rather than water withdrawals, accounting for the flows needed to sustain critical ecological functions and by considering monthly rather than annual values. We analyzed 405 river basins for the period 1996-2005. In 201 basins with 2.67 billion inhabitants there was severe water scarcity during at least one month of the year. The ecological and economic consequences of increasing degrees of water scarcity--as evidenced by the Rio Grande (Rio Bravo), Indus, and Murray-Darling River Basins--can include complete desiccation during dry seasons, decimation of aquatic biodiversity, and substantial economic disruption.
Transvaginal three-dimensional color power Doppler ultrasound and cervical MVD measurement in the detection of cervical intraepithelial neoplasia.

OBJECTIVE
To explore the potential correlation between three-dimensional color power Doppler ultrasound (3D-CPA) parameters and high-grade cervical lesions and early cervical cancer microvessel density (MVD) and investigate the role of transvaginal three-dimensional power Doppler ultrasonography in the detection of cervical intraepithelial neoplasia.


PATIENTS AND METHODS
Totally 90 subjects were randomly divided into three groups: the control group (n = 30, including patients with chronic cervicitis), the high-grade cervical intraepithelial neoplasia (CIN) group (n = 30, mainly CIN II-III), and the early cervical cancer group (stage Ia-IIa) (n = 30). All patients received preoperative 3D-CPA, and the cervical blood flow was graded. The cervical and intra-mass parameters including vascularization index (VI), flow index (FI), and vascularization-flow index (VFI) were measured. The immunohistochemistry of the anti-CD34 monoclonal antibody was performed for the post-operative specimens obtained from each group. The MVD of the tumors was calculated. The difference of each parameter was compared among these three groups, and the correlations between the ultrasound vascular parameters and MVD were analyzed. The high-grade CIN group was followed up for 6 months after the loop electrosurgical excision procedure (LEEP) conization surgery with 3D-CPA.


RESULTS
Compared with the other two groups, the early cervical cancer group had significantly higher VI, FI, and VFI parameters (p < 0.01). Compared with the control group, all of the three parameters of the high-grade CIN group were significantly higher (p < 0.01). The MVD values increased from the control group to the high-grade CIN group, and in turn to the cervical cancer group, with significant differences between each pair (p < 0.05). MVD was positively correlated with the ultrasound parameters VI and VFI (r = 0.723, r = 0.692). There were significant differences among the three groups in terms of vascular morphology and type. However, the ultrasound parameters and vascular types were not significantly different between the postoperative CIN group and the control group.


CONCLUSIONS
3D-CPA can be used to assess blood flow in the cervix. It is particularly useful for the early diagnosis of cervical cancer and CIN and for the postoperative follow-up of CIN.
A 4.3 GB/s Mobile Memory Interface With Power-Efficient Bandwidth Scaling

This paper presents a 4.3 GB/s mobile memory interface that utilizes low power states with rapid transition times to support power efficient signaling over a wide range of effective bandwidths. The fastest power state transition is implemented by a global synchronous clock pause that gates dynamic power consumption without any loss of system state. Extensive use of CMOS circuit topologies, with low static power consumption, provides maximum power savings when the clocks are paused. The memory controller forwards a half bit-rate clock to the memory for synchronous communication, which is similarly paused in the low power state. Thus, dynamic interface power on the memory itself naturally responds to the clock pausing, without any explicit communication from the controller or special low-power state on the memory. Low-swing differential signaling based on a push-pull voltage mode driver results in good signal integrity and power efficiency at peak activity. Test-chips fabricated in a 40 nm low-power CMOS technology achieve 3.3 mW/Gb/s power efficiency at 4.3 GB/s data bandwidth, and support better than 5 mW/Gb/s operation over a range from 0.03 to 4.3 GB/s.
Childhood motor skill proficiency as a predictor of adolescent physical activity.

PURPOSE
Cross-sectional evidence has demonstrated the importance of motor skill proficiency to physical activity participation, but it is unknown whether skill proficiency predicts subsequent physical activity.


METHODS
In 2000, children's proficiency in object control (kick, catch, throw) and locomotor (hop, side gallop, vertical jump) skills were assessed in a school intervention. In 2006/07, the physical activity of former participants was assessed using the Australian Physical Activity Recall Questionnaire. Linear regressions examined relationships between the reported time adolescents spent participating in moderate-to-vigorous or organized physical activity and their childhood skill proficiency, controlling for gender and school grade. A logistic regression examined the probability of participating in vigorous activity.


RESULTS
Of 481 original participants located, 297 (62%) consented and 276 (57%) were surveyed. All were in secondary school with females comprising 52% (144). Adolescent time in moderate-to-vigorous and organized activity was positively associated with childhood object control proficiency. Respective models accounted for 12.7% (p = .001), and 18.2% of the variation (p = .003). Object control proficient children became adolescents with a 10% to 20% higher chance of vigorous activity participation.


CONCLUSIONS
Object control proficient children were more likely to become active adolescents. Motor skill development should be a key strategy in childhood interventions aiming to promote long-term physical activity.
Simultaneous 6Gb/s data and 10mW power transmission using nested clover coils for non-contact memory card

This paper presents a non-contact memory card and a host employing simultaneous data and power transmission through inductive coupling. Nested clover-shaped data coils are proposed for reducing interference from a power link. The host wirelessly tracks current consumption of the card and adjusts transmit power to improve power transfer efficiency. The prototype is implemented in 65nm CMOS. It achieves 6Gb/s data rate and almost 10% power transfer efficiency over a 100−2kΩ range of the load.
SEASONAL ANALYSIS AND PREDICTION OF RAINFALL EFFECTS IN EASTERN SOUTH AFRICA AT MICROWAVE FREQUENCIES

Network fade countermeasures for link budget can be better implemented based on the knowledge of seasonal variability of rainfall attenuation in a locality. Therefore, in this study, a seasonal approach is applied to estimate the effects of spatial rainfall attenuation in Durban (29◦52’S, 30◦58’E), South Africa using twoyear rainfall data obtained from the RD-80 Joss-Waldvogel (J-W) distrometer. An analysis is undertaken for different seasons to obtain the rainfall rate exceedences at 0.001%, 0.01%, 0.1% and 1% of time. Consequently, rainfall drop-size distribution (DSD) models are developed for the control site at different seasons for the same period. The probability density analysis for each model indicates that the lognormal distribution best fits the summer and autumn season with percentage root-mean-square errors (RMS) of 30% and 26% respectively; gamma distribution fits winter season with RMS error of 16% and Weibull distribution fits spring season with RMS error of 26%. The results from the rainfall rate and rainfall DSD are combined to estimate the rainfall specific attenuation, by applying spherical droplet assumption for Mie scattering techniques, between 2GHz and 1000 GHz. With this, the seasonal k and α coefficients for specific attenuation are derived from the best rainfall DSD models, using regression technique at 2.5 GHz, 25GHz, 40 GHz and 100 GHz. At these frequencies, the results show that the predicted specific attenuation coefficients for all seasonal rainfall rates at the control site are lower, when compared to those from ITU-R models. It is concluded that specific attenuation levels may be similar and more intense in summer and autumn seasons, while, lower and less intense in autumn and winter seasons at similar rainfall rates. Received 3 February 2012, Accepted 17 April 2012, Scheduled 27 April 2012 * Corresponding author: Akintunde Alonge (dtanthony740@gmail.com). 280 Alonge and Afullo
Mining communities in networks: a solution for consistency and its evaluation

Online social networks pose significant challenges to computer scientists, physicists, and sociologists alike, for their massive size, fast evolution, and uncharted potential for social computing. One particular problem that has interested us is community identification. Many algorithms based on various metrics have been proposed for communities in networks [18, 24], but a few algorithms scale to very large networks. Three recent community identification algorithms, namely CNM [16], Wakita [59], and Louvain [10], stand out for their scalability to a few millions of nodes. All of them use modularity as the metric of optimization. However, all three algorithms produce inconsistent communities every time the ordering of nodes to the algorithms changes.
 We propose two quantitative metrics to represent the level of consistency across multiple runs of an algorithm: pairwise membership probability and consistency. Based on these two metrics, we propose a solution that improves the consistency without compromising the modularity. We demonstrate that our solution to use pairwise membership probabilities as link weights generates consistent communities within six or fewer cycles for most networks. However, our iterative, pairwise membership reinforcing approach does not deliver convergence for Flickr, Orkut, and Cyworld networks as well for the rest of the networks. Our approach is empirically driven and is yet to be shown to produce consistent output analytically. We leave further investigation into the topological structure and its impact on the consistency as future work.
 In order to evaluate the quality of clustering, we have looked at 3 of the 48 communities identified in the AS graph. Surprisingly, all have either hierarchical, geographical, or topological interpretations to their groupings. Our preliminary evaluation of the quality of communities is promising. We plan to conduct more thorough evaluation of the communities and study network structures and their evolutions using our approach.