LLukas22/scidocs huggingface dataset:
Education department awards

some very prestigious awards offered by the IEEE Educational Activities Board (EAB). These awards honor individuals, IEEE Sections, and companies for significant contributions in continuing education, education innovation, precollege education, accreditation, meritorious service to the IEEE EAB, professional development, and related achievements that advance the practice of engineering and of engineering education. The awards include the following: IEEE EAB Meritorious Achievement Award in Accreditation Activities: Recognizes IEEE members for efforts to foster the maintenance and improvement of education through the process of accreditation engineering, engineering technology, computer science programs, and applied science programs. IEEE EAB Meritorious Achievement Award in Continuing Education: Recognizes IEEE members for the dedicated contribution to the design, delivery, and support of continuing education courses and programs in the fields of interest to IEEE members. IEEE EAB Major Educational Innovation Award: Recognizes IEEE members who have distinguished themselves for outstanding educational innovation in a field of interest of the IEEE. IEEE EAB Pre-College Educator Award: Recognizes current precollege classroom teachers who have inspired an appreciation and understanding of mathematics, science, and technology and the engineering process in students and have encouraged students to pursue technical careers. IEEE EAB Meritorious Service Citation: Recognizes IEEE members who are past members of the EAB or current or past members of EAB committees for outstanding and sustained service to the aims and objectives of the EAB. IEEE EAB Em ployer Professional D e v e l o p m e n t Award: Recognizes organizations employing IEEE members for contributions to employee continuing education and professional development. IEEE EAB Section Professional D e v e l o p m e n t Award: Recognizes IEEE Sections for major contributions to IEEE members in the areas of lifelong learning, continuing education, and professional development. IEEE EAB Vice President’s Recognition Award: Recognizes IEEE Members who have had a significant and substantial effect on the practice of engineering and of engineering education related to the mission of the EAB. Additional information on these awards, including a listing of previous winners and the 2004 Call for Nominations, can be found by following the links at the EAB Web site at http:// www.ieee.org/ organizations/eab/ eab.htm. I am certain that there are members of the IAS who have made significant contributions in one or more of these areas and that they are worthy of recognition. If you are aware of an individual that you think is deserving of one of these awards, I encourage you to nominate him or her. Please note that the deadline for nominations is 30 April 2004. IAS Education Department Awards
A Framework for Rigorously Identifying Research Gaps in Qualitative Literature Reviews

Identifying research gaps is a fundamental goal of literature reviewing. While it is widely acknowledged that literature reviews should identify research gaps, there are no methodological guidelines for how to identify research gaps in qualitative literature reviews ensuring rigor and replicability. Our study addresses this gap and proposes a framework that should help scholars in this endeavor without stifling creativity. To develop the framework we thoroughly analyze the state-of-the-art procedure of identifying research gaps in 40 recent literature reviews using a grounded theory approach. Based on the data, we subsequently derive a framework for identifying research gaps in qualitative literature reviews and demonstrate its application with an example. Our results provide a modus operandi for identifying research gaps, thus enabling scholars to conduct literature reviews more rigorously, effectively, and efficiently in the future.
Computation and Computational Thinking

ion of reality in such a way that the neglected details in the model make it executable by a machine.” [2] As we shall see, finding or devising appropriate models of computation to formulate problems is a central and often nontrivial part of computational thinking.
Face detection system based on MLP neural network

Face detection is the problem of determining whether there are human faces in the image and tries to make a judgment on whether or not that image contains a face. In this paper, we propose a face detector using an efficient architecture based on a Multi-Layer Perceptron (MLP) neural network and Maximal Rejection Classifier (MRC). The proposed approach significantly improves the efficiency and the accuracy of detection in comparison with the traditional neural-network techniques. In order to reduce the total computation cost, we organize the neural network in a pre-stage that is able to reject a majority of non-face patterns in the image backgrounds, thereby significantly improving the overall detection efficiency while maintaining the detection accuracy. An important advantage of the new architecture is that it has a homogeneous structure so that it is suitable for very efficient implementation using programmable devices. Comparisons with other state-of-the-art face detection systems are presented. Our proposed approach achieves one of the best detection accuracies with significantly reduced training and detection cost. . Key-Words: Face Detection, Neural Network, MLP Neural Network, Training, Learning, MRC.
A human epidermal growth factor receptor 2 expression-based approach to neoadjuvant chemotherapy for operable breast cancer.

OBJECTIVE
We investigated the pathological effects of neoadjuvant chemotherapy based on the human epidermal growth factor receptor 2 in operable breast cancer.


METHODS
This prospective clinical study was a pilot involving 63 female patients. Before surgery, patients with tumors overexpressing human epidermal growth factor receptor 2 received four cycles of 60 mg/m(2) anthracycline and 600 mg/m(2) cyclophosphamide every 3 weeks, whereas those whose tumors did not overexpress human epidermal growth factor receptor 2 received four cycles of 75 mg/m(2) docetaxel and 600 mg/m(2) cyclophosphamide every 3 weeks. A quasi-pathological complete response (i.e. absence of invasive tumor or only focal residual tumor cells) was the primary endpoint, with compliance and predictors for each regimen as secondary endpoints. If a quasi-pathological complete response was not achieved, then crossover to the alternative treatment was recommended.


RESULTS
The quasi-pathological complete response rate was 36.5% (23 of 63) overall, 27.8% (5 of 18) for the anthracycline and cyclophosphamide regimen and 40.0% (18 of 45) for the docetaxel and cyclophosphamide regimen. Docetaxel and cyclophosphamide treatment induced a quasi-pathological complete response in most patients with triple-negative tumors (15 of 19). The relative dose intensity was 97.3% for the anthracycline and cyclophosphamide regimen and 96.6% for the docetaxel and cyclophosphamide regimen. Quasi-pathological complete response to the docetaxel and cyclophosphamide regimen was associated with low estrogen receptor and progesterone receptor expression and high MIB-1 and topoisomerase IIalpha expression, in univariate analyses, but only with low estrogen receptor expression in multivariate analysis.


CONCLUSIONS
Selecting neoadjuvant chemotherapy regimens on the basis of individual human epidermal growth factor receptor 2 status improved efficacy, with docetaxel and cyclophosphamide treatment showing particular promise in tumors with the potential to be highly malignant.
Neighborhood built and social environment characteristics: a multilevel analysis of associations with obesity among children and their parents

Objective:To examine associations between characteristics of neighborhood built and social environments and likelihood of obesity among family triads living at the same residential address and to explore whether these associations differ between family members.Methods:Data were from the baseline wave of QUALITY (Quebec Adipose and Lifestyle Investigation in Youth), an ongoing study on the natural history of obesity in 630 Quebec youth aged 8–10 years with a parental history of obesity. Weight and height were measured in children and both biological parents and body mass index was computed. Residential neighborhood environments were characterized using a Geographic Information System and in-person neighborhood audits. Principal components analysis allowed for identification of overarching neighborhood indicators including poverty, prestige, level of urbanicity, traffic, physical disorder and deterioration, and pedestrian friendliness. Multilevel logistic regressions were used to examine associations between neighborhood indicators and obesity within multiple family members residing at the same address while controlling for household-level sociodemographic variables.Results:A total of 417 families were included in the analysis. Families residing in lower and average prestige neighborhoods were more likely to be obese (odds ratio (OR)=1.69, 95% confidence interval (CI): 1.16, 2.44, and OR=1.51, 95% CI: 1.09, 2.11, respectively) than those residing in higher prestige neighborhoods. Residing in lower traffic neighborhoods was associated with less obesity (OR=0.69, 95% CI: 0.50, 0.95). Other neighborhood indicators may have differential effects across family members. For example, as neighborhood poverty increased, obesity was more likely among children but less likely among fathers and no different for mothers.Conclusion:Findings indicate that some shared neighborhood exposures are associated with greater risk of obesity for entire families whereas other exposures may heighten obesity risk in some but not all family members. Patterns may reflect differences in the way in which family members use residential neighborhood environments.
Semi-active Control of Structures Using Neuro-Predictive Algorithm for MR Dampers

A semi-active control method for a seismically excited nonlinear benchmark building equipped with a magnetorheological (MR) damper is presented and evaluated. A Linear Quadratic Gaussian (LQG) controller is designed to produce the optimal control force. The required voltage for the MR damper to produce the control force estimated by LQG controller is calculated by a neural network predictive control algorithm (NNPC). The LQG controller and the NNPC are linked to control the structure. The coupled LQG and NNPC system are then used to train a semi-active neuro-controller designated as SANC, which produces the necessary control voltage that actuates the MR damper. The effectiveness of the NNPC and SANC is illustrated and verified using simulated response of a 3-story full-scale, nonlinear, seismically excited, benchmark building excited by several historical earthquake records. The semi-active system using the NNPC algorithm is compared to the performance of passive as well as an active and a clipped optimal control (COC) system, which are based on the same nominal controller as is used in the NNPC algorithm. The results demonstrate that the SANC algorithm is quite effective in seismic response reduction for wide range of motions from moderate to severe seismic events, compared to the passive systems, and performs better than active and COC systems.
Barriers to early presentation of self-discovered breast cancer in Singapore and Malaysia: a qualitative multicentre study.

OBJECTIVE
To explore and compare barriers to early presentation of self-discovered breast cancer in Singapore and Malaysia.


DESIGN
A qualitative interview study with thematic analysis of transcripts.


PARTICIPANTS
67 patients with self-discovered breast symptoms were included in the analysis. Of these, 36% were of Malay ethnicity, 39% were Chinese and 25% Indian, with an average age of 58 years (range 24-82 years). The number of women diagnosed at early stages of cancer almost equalled those at advanced stages. Approximately three-quarters presented with a painless lump, one-quarter experienced a painful lump and 10% had atypical symptoms.


SETTING
University hospital setting in Singapore and Malaysia.


RESULTS
Patients revealed barriers to early presentation not previously reported: the poor quality of online website information about breast symptoms, financial issues and the negative influence of relatives in both countries, while perceived poor quality of care and services in state-run hospitals and misdiagnosis by healthcare professionals were reported in Malaysia. The pattern of presentation by ethnicity remained unchanged where more Malay delayed help-seeking and had more advanced cancer compared to Chinese and Indian patients.


CONCLUSIONS
There are few differences in the pattern of presentation and in the reported barriers to seek medical care after symptom discovery between Singapore and Malaysia despite their differing economic status. Strategies to reduce delayed presentation are: a need to improve knowledge of disease, symptoms and causes, quality of care and services, and quality of online information; and addressing fear of diagnosis, treatment and hospitalisation, with more effort focused on the Malay ethnic group. Training is needed to avoid missed diagnoses and other factors contributing to delay among health professionals.
A Rubbertuator-based structure-climbing inspection robot

1 Abstract We describe the design and control of ROBIN a ROBotic INspector. ROBIN is a structure-climbing robot designed for man-made environments. It is intended to carry cameras and other sensors onto man-made structures such as bridges, buildings, aircraft and ships for inspection. The robot has two vacuum xtures connected by a 4 degree-of-freedom articulated mechanism that together allow it to walk across surfaces and transition between adjacent surfaces. ROBIN is novel in several areas. It is the only climbing robot that uses McKibben type pneumatic muscles for motion. It is also novel in its use of a subsumption architecture controller for climbing. ROBIN is one of the few climbing robots that is capable of transitions between surfaces and is one of two robot designs capable of transitioning from a horizontal surface to a vertical surface below. 2 Introduction ROBIN, shown in Figure 1, was developed to be a multipurpose structural inspection vehicle that is specialized for man-made environments. It is eventually intended to be the basic component of a larger structural inspection system. As the infrastructures of many nations age, inspection and maintenance of large man-made structures will become increasingly important. This robot and many other climbing robots will become the tools used to safely and eeciently inspect aging infrastructure, such as buildings, bridges, aircraft and ships. An inspection robot is most useful when it can carry sensors into inaccessible or hazardous areas, thereby making the task safer for human inspectors. An inspection robot is also desirable when it performs tests that are too diicult or tedious for human inspectors to handle 1]. The ability to transition between adjoining surfaces is crucial if a structure-climbing robot is to be used to climb complex structures such as bridges or aircraft. Also, it is important for climbing robots to be able to handle a variety of Figure 1: ROBIN surface types with or without handholds for the robot to use. This allows the robot to be a multi-purpouse inspection vehicle. The rst developed wall-climbers were planar robots, with minimal range of motion in a third dimension. These robots were connned to move on a planar surface and most of the designs are connned to move on a perfectly at plane. This critical limitation prevents these robots from being used in all but the simplest environments, where transitions between surfaces are not required and there are no obstacles on the surfaces. The …
Google's android as an application environment for DTV decoder system

This paper presents an approach of using Google's Android software stack as an application environment for digital television (DTV) sets and set-top boxes. Expanding Android software stack to support DTV decoder devices and developing universal TV and set-top box applications for Android environment enables rapid software development and shorter release time for next generation products. Paper describes the process of porting complete Android software stack (Android Linux kernel, system drivers, user space libraries, Android specific libraries and programs) to a DTV decoder platform with Linux kernel and available stable device drivers; implementation of extensions to support DTV channel search, memorizing, playback and recording. Performance and features of final system will be presented.
Automatic hardware-efficient SoC integration by QoS network on chip

Efficient module integration in systems on chip (SoC) is a great challenge. We present a novel automated network on chip (NoC) centric integration method for large and complex SoCs. A quality of service NoC (QNoC) architecture and its design considerations are presented. Then, we describe a chain of design automation tools that allows fast and hardware-efficient SoC integration using the QNoC paradigm. The tool-chain receives a list of system modules and their inter-module communication requirements and results in complete system hardware and verification models for faster SoC fabrication and easier verification.
Generalized hesitant fuzzy sets and their application in decision support system

Hesitant fuzzy sets are very useful to deal with group decision making problems when experts have a hesitation among several possible memberships for an element to a set. During the evaluating process in practice, however, these possible memberships may be not only crisp values in [0,1], but also interval values. In this study, we extend hesitant fuzzy sets by intuitionistic fuzzy sets and refer to them as generalized hesitant fuzzy sets. Zadeh’s fuzzy sets, intuitionistic fuzzy sets and hesitant fuzzy sets are special cases of the new fuzzy sets. We redefine some basic operations of generalized hesitant fuzzy sets, which are consistent with those of hesitant fuzzy sets. Some arithmetic operations and relationships among them are discussed as well. We further introduce the comparison law to distinguish two generalized hesitant fuzzy sets according to score function and consistency function. Besides, the proposed extension principle enables decision makers to employ aggregation operators of intuitionistic fuzzy sets to aggregate a set of generalized hesitant fuzzy sets for decision making. The rationality of applying the proposed techniques is clarified by a practical example. At last, the proposed techniques are devoted to a decision support system. 2012 Elsevier B.V. All rights reserved.
Intelligent Caching for Www Objects Intelligent Caching for World-wide Web Objects

The continued increase in demand for information services on the Internet is showing signs of strain. While the Internet is a highly distributed system, individual data objects most often have only a single source. Host computers and network links can easily become overloaded when a large number of users access very popular data. Proxy-caching is currently a popular way to reduce network bandwidth, server load and to improve response time to the user. The original caching proxy, from CERN, is probably still the most widely used. This paper describes software developed by the author that investigates some alternative techniques for caching WorldWide Web objects. This software complements traditional proxy-caching by allowing servers to explicitly grant or deny permission to cache an object, and with support for server-initiated callback in-validation of changed objects.
Increasing the security of gaze-based cued-recall graphical passwords using saliency masks

With computers being used ever more ubiquitously in situations where privacy is important, secure user authentication is a central requirement. Gaze-based graphical passwords are a particularly promising means for shoulder-surfing-resistant authentication, but selecting secure passwords remains challenging. In this paper, we present a novel gaze-based authentication scheme that makes use of cued-recall graphical passwords on a single image. In order to increase password security, our approach uses a computational model of visual attention to mask those areas of the image that are most likely to attract visual attention. We create a realistic threat model for attacks that may occur in public settings, such as filming the user's interaction while drawing money from an ATM. Based on a 12-participant user study, we show that our approach is significantly more secure than a standard image-based authentication and gaze-based 4-digit PIN entry.
The interaction of nitrogen oxides with metal-oxygen cluster compounds (heteropoly oxometalates)

Abstract Nitrogen dioxide is sorbed by the solid heteropoly acids, the first sorbates producing HNO 3 while those subsequently taken up remain strongly bound on the acid, up to three NO 2 per heteropoly anion. The sorption of NO 2 is shown to be dependent on the elemental composition of the anions of the solid acids and hence on the acid strengths of these materials. The sorbed NO 2 associates with both the surface and bulk protons to form HNO 2 + thus demonstrating that NO 2 is capable of penetrating into the crystallographic structure of the solid acid. Prior sorption of NO 2 facilitates the takeup of NO which forms N 2 O 3 . 12-tungstophosphoric acid (HPW) supported on silica produces quantitatively different but qualitatively similar results. The microporous ammonium salt of HPW produces markedly different results when exposed to NO 2 with the predominant product being N 2 evidently resulting from the ammonium cation functioning as a source of the reductant ammonia.
Analysis of FSS Radomes Based on Physical Optics Method and Ray Tracing Technique

In this letter, we analyze the electromagnetic characteristic of a frequency selective surface (FSS) radome using the physical optics (PO) method and ray tracing technique. We consider the cross-loop slot FSS and the tangent-ogive radome. Radiation pattern of the FSS radome is computed to illustrate the electromagnetic transmission characteristic.
Effects of silymarin on neuropathic pain and formalin-induced nociception in mice

OBJECTIVES
Based on the previous reports, silymarin can suppress nitric oxide, prostaglandin E2 (PGE2), leukotrienes, cytokines production, and neutrophils infiltration. Regarding the fact that inflammation plays an important role in neuropathic and formalin-induced pain, it was assumed that silymarin could reduce pain. The present study investigates the analgesic effects of silymarin in chemical nociception and a model of neuropathic pain.


MATERIALS AND METHODS
Chemical nociception was produced by injection of 20 µl of formalin (0.5% formaldehyde in saline) into the plantar region of the right hind paw. A sciatic-nerve ligated mouse was applied as the model of neuropathic pain and the antinociceptive response of silymarin was examined 14 days after unilateral nerve-ligation using the hot plate test.


RESULTS
The intraperitoneal administration of silymarin (25, 50, and, 100 mg/kg) 2 hr prior to the intraplantar formalin injection suppressed the nociceptive response during the late phase of the formalin test significantly, but it was not in a dose-dependent manner. Different doses of silymarin 14 days after unilateral sciatic nerve ligation in hot plate test did not induce obvious antinociception.


CONCLUSION
Results of the present study indicated that repeated administration of silymarin prevents the formalin-induced nociceptive behavior. However, it is not effective in the treatment of sciatic neuropathic pain.