LLukas22/scidocs huggingface dataset:
Trie memory

Trie memory is a way of storing and retrieving information. ~ It is applicable to information that consists of function-argument (or item-term) pairs--information conventionally stored in unordered lists, ordered lists, or pigeonholes. The main advantages of trie memory over the other memoIw plans just mentioned are shorter access time, greater ease of addition or up-dating, greater convenience in handling arguments of diverse lengths, and the ability to take advantage of redundancies in the information stored. The main disadvantage is relative inefficiency in using storage space, but this inefficiency is not great when the store is large. In this paper several paradigms of trie memory are described and compared with other memory paradigms, their advantages and disadvantages are examined in detail, and applications are discussed. Many essential features of trie memory were mentioned by de la Briandais [1] in a paper presented to the Western Joint Computer Conference in 1959. The present development is essentially independent of his, having been described in memorandum form in January 1959 [2], and it is fuller in that it considers additional paradigms (finitedimensional trie memories) and includes experimental results bearing on the efficiency of utilization of storage space.
An Automated Test Generation Technique for Software Quality Assurance

The world's increased dependence on software-enabled systems has raised major concerns about software reliability and security. New cost-effective tools for software quality assurance are needed. This paper presents an automated test generation technique, called Model-based Integration and System Test Automation (MISTA), for integrated functional and security testing of software systems. Given a Model-Implementation Description (MID) specification, MISTA generates test code that can be executed immediately with the implementation under test. The MID specification uses a high-level Petri net to capture both control- and data-related requirements for functional testing, access control testing, or penetration testing with threat models. After generating test cases from the test model according to a given criterion, MISTA converts the test cases into executable test code by mapping model-level elements into implementation-level constructs. MISTA has implemented test generators for various test coverage criteria of test models, code generators for various programming and scripting languages, and test execution environments such as Java, C, C++, C#, HTML-Selenium IDE, and Robot Framework. MISTA has been applied to the functional and security testing of various real-world software systems. Our experiments have demonstrated that MISTA can be highly effective in fault detection.
Engineering education - the French way

The French university system developed earlier than that in Britain, and was the centre for engineering education in France. From university engineering schools developed the Grande Ecoles, which today produce the majority of French engineers.
Helical tomotherapy targeting total bone marrow after total body irradiation for patients with relapsed acute leukemia undergoing an allogeneic stem cell transplant.

BACKGROUND AND PURPOSE
To report our clinical experience in planning and delivering total marrow irradiation (TMI) after total body irradiation (TBI) in patients with relapsed acute leukemia undergoing an allogeneic stem-cell transplant (SCT).


MATERIALS AND METHODS
Patients received conventional TBI as 2 Gy BID/day for 3 days boosted the next day by TMI (2 Gy in a single fraction) and followed by cyclophosphamide (Cy) 60 mg/kg for 2 days. While TBI was delivered with linear accelerator, TMI was performed with helical tomotherapy (HT).


RESULTS
Fifteen patients were treated from July 2009 till May 2010, ten with acute myeloid leukemia, and five with acute lymphoid leukemia. At the time of radiotherapy eight patients were in relapse and seven in second or third complete remission (CR) after relapse. The donor was a matched sibling in 7 cases and an unrelated donor in 8 cases. Median organ-at-risk dose reduction with TMI ranged from 30% to 65% with the largest reduction (-50%-65%) achieved for brain, larynx, liver, lungs and kidneys. Target areas (bone marrow sites and spleen in selected cases) were irradiated with an optimal conformity and an excellent homogeneity. Follow-up is short ranging from 180 to 510 days (median 310 days). However, tolerance was not different from a conventional TBI-Cy. All patients treated with TBI/TMI reached CR after SCT. Three patients have died (2 for severe GvHD, 1 for infection) and 2 patients showed relapsed leukemia. Twelve patients are alive with ten survivors in clinical remission of disease.


CONCLUSIONS
This study confirms the clinical feasibility of using HT to deliver TMI as selective dose boost modality after TBI. For patients with advanced leukemia targeted TMI after TBI may be a novel approach to increase radiation dose with low risk of severe toxicity.
Identification and Comparison of Anti-Inflammatory Ingredients from Different Organs of Lotus Nelumbo by UPLC/Q-TOF and PCA Coupled with a NF-κB Reporter Gene Assay

Lotus nelumbo (LN) (Nelumbo nucifera Gaertn.) is an aquatic crop that is widely distributed throughout Asia and India, and various parts of this plant are edible and medicinal. It is noteworthy that different organs of this plant are used in traditional herbal medicine or folk recipes to cure different diseases and to relieve their corresponding symptoms. The compounds that are contained in each organ, which are named based on their chemical compositions, have led to their respective usages. In this work, a strategy was used to identify the difference ingredients and screen for Nuclear-factor-kappaB (NF-κB) inhibitors with anti-inflammatory ability in LN. Seventeen main difference ingredients were compared and identified from 64 samples of 4 different organs by ultra-performance liquid chromatography that was coupled with quadrupole/time of flight mass spectrometry (UPLC/Q-TOF-MS) with principal component analysis (PCA). A luciferase reporter assay system combined with the UPLC/Q-TOF-MS information was applied to screen biologically active substances. Ten NF-κB inhibitors from Lotus plumule (LP) extracts, most of which were isoquinoline alkaloids or flavone C-glycosides, were screened. Heat map results showed that eight of these compounds were abundant in the LP. In conclusion, the LP extracts were considered to have the best anti-inflammatory ability of the four LN organs, and the chemical material basis (CMB) of this biological activity was successfully validated by multivariate statistical analysis and biological research methods.
Comparison of SSFP and IR GRE techniques for measurement of total myocardial mass-influence of applied contrast dosage and implication for relative infarct size assessment.

OBJECTIVE
To compare total left ventricular mass assessment using steady state free precession (SSFP) and inversion recovery fast gradient echo (IR GRE) imaging and further to assess the influence of contrast dosage on mass by IR GRE and its implications on relative infarct size assessment with both methods.


METHODS
Forty-three patients with first documented myocardial infarction and single vessel disease underwent measurement of total myocardial mass using SSFP technique and an IR GRE sequence. As part of a Phase 2 multi-center dose ranging study for infarct identification patients received 1 of 4 possible dosages (0.05, 0.1, 0.2 or 0.3 mmol/kg body weight) of the contrast agent gadoversetamide (OptiMARK, Tyco Healthcare Mallinckrodt, St. Louis, MO, USA).


RESULTS
Left ventricular mass assessment using IR GRE resulted in a slightly greater detection of myocardial mass than from the SSFP images (160.1 and 156.4 g, respectively, p < 0.001). The overall good correlation of both methods (R2 = 0.97 for the total study group, p < 0.001) was further improved by using gadoversetamide at doses of 0.2 or 0.3 mmol/kg (R2= 0.99, p < 0.001), mainly as a result of a considerably higher blood-myocardial contrast-to-noise ratio (CNR) in the IR GRE images. Bland-Altman analysis in these subgroups showed very little scatter of the residuals over the mean (3.5 +/- 5.4 g and 1.3 +/- 6.9 g respectively, 95% confidence interval). The observed differences in total mass calculation, while statistically significant, were not correlated with clinically relevant differences in estimation of relative infarct size.


CONCLUSION
Total LV mass calculations using SSFP and IR GRE techniques are interchangeable when using appropriate contrast media, such as gadoversetamide. Late gadolinium enhancement results in good blood myocardial CNR. Hence, for relative infarct size assessment either method for calculation of total myocardial mass can be used.
Violence, Narrative and Myth in Joyce and Yeats

Introduction Yeats's Revolving Gyres: A Metaphorical Language for the Modern Experience of Anarchism, Syndicalism, and Political Aesthetics Social Myth, Material Reality, and the Aesthetico-Ideological Functions of Art The Political Aesthetic of Yeats's Myth in Anarchist and Syndicalist Contexts Social Myth, Literary Narrative, and Political Aesthetics Social Myth and James Joyce's Political Aesthetic Social and Anti-social Aesthetic Drives in Joyce, Yeats, and Sorel W.B. Yeats, Social Myth, and Monoglossia James Joyce, Social Myth, and Heteroglossia Heteroglossic Desubjection and Monoglossic Subjection in Joyce, Yeats, and Sorel: Social Myth, Anarchy, and Syndicalism Modernism, Myth, Violence, and Social Change Modernist Art, Politics, and Social Change: A Sorelian Perspective Modernism, Narrative, and Violence Conclusion Notes Bibliography
Selfie posting behaviors are associated with narcissism among men

Although many studies have investigated individual differences in online social networking, few have examined the recent and rapidly popularized social phenomenon of the ‘‘selfie’’ (a selfportrait photograph of oneself). In two studies with a pooled sample of 1296 men and women, we tested the prediction that individuals who score high on four narcissism sub-scales (Self-sufficiency, Vanity, Leadership, and Admiration Demand) will be more likely to post selfies to social media sites than will individuals who exhibit low narcissism. We examined three categories of selfies: own selfies; selfies with a romantic partner; and group selfies, controlling for non-selfie photographs. Women posted more selfies of all types than did men. However, women’s selfie-posting behavior was generally unrelated to their narcissism scores. In contrast, men’s overall narcissism scores positively predicted posting own selfies, selfies with a partner, and group selfies. Moreover, men’s Vanity, Leadership, and Admiration Demand scores each independently predicted the posting of one or more types of selfies. Our findings provide the first evidence that the link between narcissism and selfie-posting behavior is comparatively weak among women than men, and provide novel insight into the social motivations and functions of online social networking. 2015 Elsevier Ltd. All rights reserved.
Hamstring Muscle Fatigue and Central Motor Output during a Simulated Soccer Match

PURPOSE
To examine changes in hamstring muscle fatigue and central motor output during a 90-minute simulated soccer match, and the concomitant changes in hamstring maximal torque and rate of torque development.


METHOD
Eight amateur male soccer players performed a 90-minute simulated soccer match, with measures performed at the start of and every 15-minutes during each half. Maximal torque (Nm) and rate of torque development (RTD; Nm.s-1) were calculated from maximal isometric knee flexor contractions performed at 10° of flexion. Hamstring peripheral fatigue was assessed from changes in the size and shape of the resting twitch (RT). Hamstring central motor output was quantified from voluntary activation (%) and normalized biceps femoris (BF) and medial hamstrings (MH) electromyographic amplitudes (EMG/M).


RESULTS
Maximal torque was reduced at 45-minutes by 7.6±9.4% (p<0.05). RTD in time intervals of 0-25, 0-50, and 0-75 ms post-contraction onset were reduced after 15-minutes in the first-half between 29.6 to 46.2% (p<0.05), and were further reduced at the end of the second-half (p<0.05). Maximal EMG/M was reduced for biceps femoris only concomitant to the time-course of reductions in maximal torque (p = 0.007). The rate of EMG rise for BF and MH was reduced in early time periods (0-75 ms) post-contraction onset (p<0.05). No changes were observed for the size and shape of the RT, indicating no hamstring peripheral fatigue.


CONCLUSION
Centrally mediated reductions in maximal torque and rate of torque development provide insight into factors that may explain hamstring injury risk during soccer. Of particular interest were early reductions during the first-half of hamstring rate of torque development, and the decline in maximal EMG/M of biceps femoris in the latter stages of the half. These are important findings that may help explain why the hamstrings are particularly vulnerable to strain injury during soccer.
Multi-Physics of Nanoscale Thin Films and Interfaces

We present the design and fabrication of a microchip capable of performing mechanical (tensile, fracture, fatigue), electrical (conductivity and band gap) and thermal (conductivity and specific heat) characterization of materials and interfaces. The chip can study thin films and wires of any material that can be deposited on a substrate or study thin coupons if the specimen is in bulk form. The 3 mm × 3 mm size of the chip results in the unique capability of in-situ testing in analytical chambers such as the transmission electron microscope. The basic concept is to ’see’ the micro-mechanisms while ‘measuring’ the deformation and transport properties of materials and interfaces. The advantage of such simultaneous acquisition of quantitative and qualitative data is the accurate and quick physics-based modeling of materials behavior. We present preliminary studies on multi-physics, or the coupling among mechanical thermal and electrical domains in materials will be presented. These results are particularly important when the specimen dimension becomes comparable to the mean free paths of electron and phonons.Copyright © 2011 by ASME
Test Technology Technical Council Newsletter

This newsletter provides information on past and upcoming events related to the IEEE Computer Society's Test Technology Technical Council and the test community.
A Survey on Mobile Ad Hoc Wireless Network

This paper presents a coherent survey on ad hoc wireless networks, with the intent of serving as a quick reference to the current research issues in ad hoc networking. It starts with a background on the origin and development stages of ad hoc network, then summaries the characteristics, capabilities, applications and design constraints of ad hoc network fully distinguishing it from traditional networks. The paper discuses a broad range of research issues such as Routing, Medium Access, Multicasting, Quality of service, TCP performance, Energy, Security and Bluetooth, outlining the major challenges which have to be solved before widespread deployment of the technology is possible. Through this survey it would be seen that Ad hoc Networking presence an interesting research area inheriting the problems of wireless and mobile communications in their most difficult form.
Direct marketing decision support through predictive customer response modeling

a r t i c l e i n f o Keywords: Customer response predictive model Knowledge-based marketing RFM Neural networks Decision tree models Logistic regression Decision support techniques and models for marketing decisions are critical to retail success. Among different marketing domains, customer segmentation or profiling is recognized as an important area in research and industry practice. Various data mining techniques can be useful for efficient customer segmentation and targeted marketing. One such technique is the RFM method. Recency, frequency, and monetary methods provide a simple means to categorize retail customers. We identify two sets of data involving catalog sales and donor contributions. Variants of RFM-based predictive models are constructed and compared to classical data mining techniques of logistic regression, decision trees, and neural networks. The spectrum of tradeoffs is analyzed. RFM methods are simpler, but less accurate. The effect of balancing cells, of the value function, and classical data mining algorithms (decision tree, logistic regression, neural networks) are also applied to the data. Both balancing expected cell densities and compressing RFM variables into a value function were found to provide models similar in accuracy to the basic RFM model, with slight improvement obtained by increasing the cutoff rate for classification. Classical data mining algorithms were found to yield better prediction , as expected, in terms of both prediction accuracy and cumulative gains. Relative tradeoffs among these data mining algorithms in the context of customer segmentation are presented. Finally we discuss practical implications based on the empirical results. The role of decision support techniques and models for marketing decisions has been important since the inception of decision support systems (DSSs) [25]. Diverse techniques and models (e.g., optimization, knowledge-based systems, simulation) have emerged over the last five decades. Many marketing domains, including pricing, new product development , and advertising, have benefited from these techniques and models [16]. Among these marketing domains, customer segmentation or profiling is recognized as an important area [18,19,26,43]. There are at least two reasons for this. First, the marketing paradigm is becoming customer-centric [41] and targeted marketing and service are suitable. Second, unsolicited marketing is costly and ineffective (e.g., low response rate) [15,30]. Along with these reasons, there are increasing efforts on collecting and analyzing customer data for better marketing decisions [9,26,30]. The advancement of online shopping technologies and database systems has accelerated this trend. Data mining has been a valuable tool in this regard. Various …
Crowdsourcing the Annotation of Rumourous Conversations in Social Media

Social media are frequently rife with rumours, and the study of rumour conversational aspects can provide valuable knowledge about how rumours evolve over time and are discussed by others who support or deny them. In this work, we present a new annotation scheme for capturing rumour-bearing conversational threads, as well as the crowdsourcing methodology used to create high quality, human annotated datasets of rumourous conversations from social media. The rumour annotation scheme is validated through comparison between crowdsourced and reference annotations. We also found that only a third of the tweets in rumourous conversations contribute towards determining the veracity of rumours, which reinforces the need for developing methods to extract the relevant pieces of information automatically.
Design of inclined and displaced slotted waveguide array antennas with low sidelobe radiation patterns

In this paper, we develop a design method for inclined and displaced (compound) slotted waveguide array antennas. The characteristics of a compound slot element and the design results by using an equivalent circuit are shown. The effectiveness of the designed antennas is verified through experiments.
Genetic variation and selection criterion for digestibility traits of forage maize

Variations in feeding value characteristics were studied on a factorial mating design, within a multilocal network. The in vitro digestibility of dry matter (IVDDM), neutral detergent fiber (NDF), acid detergent fiber (ADF), acid detergent lignin (ADL), starch, soluble carbohydrate, protein and ash contents were evaluated on whole plant samples. The in vitro digestibility of the non-starch and non-soluble carbohydrate plant part (IVDNSC) was also computed from near infra-red reflectance spectroscopy estimations of IVDDM, starch and soluble carbohydrate contents. Variations due to general combining ability (GCA) were more important, for all traits, than variations due to specific combining ability (SCA). Variations due to the GCA × environment interaction were also sizeable and were partly explained by the earliness of the lines. IVDDM was primarily influenced by the relative proportions of cell walls and starch in the whole plant, which were particularly susceptible to the development stage of the plants, at harvest. When adjusted for earliness, there was generally no significant relation between the line per se value and GCA performance in the biochemical constituent contents of the plant. On the contrary, IVDNSC seemed to be a feeding value trait worth evaluating at the inbred line level. It was also almost independent of the ripening stage and could be easily computed from whole plant samples. IVDNSC, with a simultaneous control of starch content, might be a good selection criterion for evaluating and improving the nutritive value of forage maize.
The Two-Step Flow of Communication : An UpTo-Date Report on an Hypothesis *

The hypothesis that "ideas often flow from radio and print to opinion leaders and from these to the less active sections of the population" has been tested in several successive studies. Each study has attempted a different solution to the problem of how to take account of interpersonal relations in the traditional design of survey research. As a result, the original hypothesis is largely corroborated and considerably refined. A former staff member of the Bureau of Applied Social Research at Columbia University, the author is now on leave from his post as assistant professor of sociology at the University of Chicago and is currently guest lecturer in sociology at the Hebrew University in Jerusalem. Disciplines Communication | Social and Behavioral Sciences This journal article is available at ScholarlyCommons: http://repository.upenn.edu/asc_papers/271 The Two-Step Flow of Communication: An Up-To-Date Report on an Hypothesis*
Violence and Reproductive Health: Current Knowledge and Future Research Directions

Objectives: Despite the scope of violence against women and its importance for reproductive health, very few scientific data about the relationship between violence and reproductive health issues are available. Methods: The current knowledge base for several issues specific to violence and reproductive health, including association of violence with pregnancy, pregnancy intention, contraception use, pregnancy terminations, and pregnancy outcomes, are reviewed and suggestions are provided for future research. Results: Despite the limitations of current research and some inconclusive results, the existing research base clearly documents several important points: (1) violence occurs commonly during pregnancy (an estimated 4%–8% of pregnancies); (2) violence is associated with unintended pregnancies and may be related to inconsistent contraceptive use; and (3) the research is inconclusive about the relationship between violence and pregnancy outcomes. Conclusions: Improved knowledge of the risk factors for violence is critical for effective intervention design and implementation. Four areas that need improvement for development of new research studies examining violence and reproductive-related issues include (1) broadening of study populations, (2) refining data collection methodologies, (3) obtaining additional information about violence and other factors, and (4) developing and evaluating screening and intervention programs. The research and health care communities should act collaboratively to improve our understanding of why violence against women occurs, how it specifically affects reproductive health status, and what prevention strategies may be effective.