Miracle-dz/UniFAR-FTUs huggingface dataset:
USING LEARNING TO RANK APPROACH TO PROMOTING DIVERSITY FOR BIOMEDICAL INFORMATION RETRIEVAL WITH WIKIPEDIA

In most of the traditional information retrieval (IR) models, the independent relevance assumption is taken, which assumes the relevance of a document is independent of other documents. However, the pitfall of this is the high redundancy and low diversity of retrieval result. This has been seen in many scenarios, especially in biomedical IR, where the information need of one query may refer to different aspects. Promoting diversity in IR takes the relationship between documents into account. Unlike previous studies, we tackle this problem in the learning to rank perspective. The main challenges are how to find salient features for biomedical data and how to integrate dynamic features into the ranking model. To address these challenges, Wikipedia is used to detect topics of documents for generating diversity biased features. A combined model is proposed and studied to learn a diversified ranking result. Experiment results show the proposed method outperforms baseline models.
How to Conduct and Statistically Analyze Case-Based Time Series Studies, One Patient at a Time

We describe how to conduct case-based time-series studies in a practice setting. First we offer a sampler of clinical research questions that can be addressed by case-based studies. Second we construct a hypothetical case that illustrates the structure of a time-series project now being conducted in a university-based outpatient psychotherapy clinic. This case also familiarizes the reader with the data array of a time-series study. Third, we present two actual case studies, each carried out in a different outpatient setting. Fourth, we move to the logistics of how a time-series study is efficiently conducted in an applied setting. Finally we provide a step-by-step description of Simulation Modeling Analysis (SMA) for time-series data and how the practitioner can use freely-available software to analyze his or her real-world clinical practice data (i.e., relatively short streams of time-series data).
Driver Steering Control and a New Perspective on Car Handling Qualities

Abstract The article is about steering control of cars by drivers, concentrating on following the lateral profile of the roadway, which is presumed visible ahead of the car. It builds on previously published work, in which it was shown how the driver's preview of the roadway can be combined with the linear dynamics of a simple car to yield a problem of discrete-time optimal-linear-control-theory form. In that work, it was shown how an optimal ‘driver’ of a linear car can convert the path preview sample values, modelled as deriving from a Gaussian white-noise process, into steering wheel displacement commands to cause the car to follow the previewed path with an attractive compromise between precision and ease. Recognizing that real roadway excitation is not so rich in high frequencies as white-noise, a low-pass filter is added to the system. The white-noise sample values are filtered before being seen by the driver. Numerical results are used to show that the optimal preview control is unaltered by the inclusion of the low-pass filter, whereas the feedback control is affected diminishingly as the preview increases. Then, using the established theoretical basis, new results are generated to show time-invariant optimal preview controls for cars and drivers with different layouts and priorities. Tight and loose controls, representing different balances between tracking accuracy and control effort, are calculated and illustrated through simulation. A new performance criterion with handling qualities implications is set up, involving the minimization of the preview distance required. The sensitivities of this distance to variations in the car design parameters are calculated. The influence of additional rear wheel steering is studied from the viewpoint of the preview distance required and the form of the optimal preview gain sequence. Path-following simulations are used to illustrate relatively high-authority and relatively low-authority control strategies, showing manoeuvring well in advance of a turn under appropriate circumstances. The results yield new insights into driver steering control behaviour and vehicle design optimization. The article concludes with a discussion of research in progress aimed at a further improved understanding of how drivers control their vehicles.
Pedagogical agents in the multimedia natural sciences for children

Pedagogical agents are used to create effective educational software for children. We present the multimedia software for teaching natural sciences to 10-12 year old children. In this system, pedagogical agents, a teacher and two pupils are taking a walk through the virtual islands "Matter", "Forces" and "Physical phenomena". To create the multimedia software for natural sciences teaching, a new authoring environment, both technology-effective and functionally-rich, has been designed.
Aszimmetrikus dimetilarginin: a cardiovascularis betegségek prediktora?

Cardiovascular diseases are the most common diseases worldwide. They are responsible for one third of global deaths and they are the leading cause of disability, too. The usage of different levels of prevention in combination with effective risk assessment improved these statistical data. Risk assessment based on classic risk factors has recently been supported with several new markers, such as asymmetric dimethylarginine, which is an endogenous competitive inhibitor of nitric oxide synthase. Elevated levels of asymmetric dimethylarginine have been reported in obese, smoker, hypercholesterolemic, hypertensive and diabetic patients. According to previous studies, asymmetric dimethylarginine is a suitable indicator of endothelial dysfunction, which is held to be the preceding condition before atherosclerosis. Several researches found positive correlation between higher levels of asymmetric dimethylarginine and coronary artery disease onset, or progression of existing coronary disease. According to a study involving 3000 patients, asymmetric dimethylarginine is an independent risk factor of cardiovascular mortality in patients with coronary artery disease. This article summarizes the role of asymmetric dimethylarginine in prediction of cardiovascular diseases, and underlines its importance in cardiovascular prevention.
Game playing with computers

In what case do you like reading so much? What about the type of the game playing with computers book? The needs to read? Well, everybody has their own reason why should read some books. Mostly, it will relate to their necessity to get knowledge from the book and want to read just to get entertainment. Novels, story book, and other entertaining books become so popular this day. Besides, the scientific books will also be the best reason to choose, especially for the students, teachers, doctors, businessman, and other professions who are fond of reading.
The Ethics of Teaching: Critical Thinking and Reflection to Promote Professionalism by Mitigating Biases Including those against other Healthcare Professions

In the USA I see bumper stickers and t-shirts that declare “Critical thinking: the other national deficit. ” Unfortunately here, and elsewhere in the world, these words are often true. Not only does the internet give us ample opportunity to express ourselves without much reflection or thought, but college and university courses do not always expect and foster critical thinking and reflection on the part of students, particularly when the courses have lecture formats and large enrollments. In my view, this is especially true of the basic and even the clinical sciences in healthcare professional education. Many of the latter educators do not heed well the admonition in McKeachie's Teaching Tips (McKeachie and Svinicki, 2014) “Teach your students to reflect both in and out of class. That reflection should never stop, because conscious reflection on values is perhaps the cornerstone of the ethics of teaching. ”
An X-band 10-watt multiple-IMPATT oscillator

The outputs of 12 packaged IMPATT diodes were successfully combined in a waveguide cavity. The resulting oscillator gave 10.5-watt CW output power at 9.1 GHz. No spurious oscillations were observed during the circuit adjustment. The adjustment was extremely easy and the spectrum of the output was clean.
Auditory Feature for Monaural Speech Segregation

Monaural speech segregation has been a very challenging problem for speech signal processing. The implication of the ideal binary masks to an auditory mixture has been shown to yield substantial improvements in signal-to- noise-ratio (SNR) and intelligibility. In this paper, we use the time-frequency (T-F) unit level gammatone frequency cepstral coefficients (GFCC) auditory feature to estimate the ideal binary mask for monaural speech segregation. The paper reports the successful attempt to use GFCC as the segregation cue with deep neural networks (DNNs) classifier. Results show that robust performance can be achieved across noisy and reverberant conditions.
The influence of length and frequency of training session on the rate of learning to type.

Four groups of postmen were trained to type alpha-numeric code material using a conventional typewriter keyboard. Training was based on sessions lasting for one or two hours occurring once or twice per day. Learning was most efficient in the group given one session of one hour per day, and least efficient in the group trained for two 2-hour sessions. Retention was tested after one, three or nine months, and indicated a loss in speed of about 30%. Again the group trained for two daily sessions of two hours performed most poorly. It is suggested that where operationally feasible, keyboard training should be distributed over time rather than massed.
Contrast of displays on the retina

Abstract— When the eye projects an image on the retina, contrast degradation takes place because of stray light in the eye. This letter shows that for a 24 × 18° display, the maximum achievable retinal contrast for a 4 × 4 checkerboard image is approximately 80:1 for young persons, going down to approximately 37:1 for a 70‐year‐old person. This information is important for both display consumers and manufacturers because it puts the display contrast specification into perspective and may affect the contrast design target of a display system.
Image Classification Based on Conditional Random Fields

We use Conditional Random Fields (CRFs) to classify regions in an image. CRFs provide a discriminative framework to incorporate spatial dependencies in an image, which is more appropriate for classification tasks as opposed to a generative framework. In this paper we apply CRFs to the image multi-classification task, we focus on three aspects of the classification task: feature extraction, the Original feature clustering based on K-means, and feature vector modeling base on CRF to obtain multiclass classification. We present classification results on sample images from Cambridge (MSRC) database, and the experimental results show that the method we present can classify the images accurately.
Analysis of Internet Users’ Level of Online Privacy Concerns

As the Internet permeates almost every aspect of our daily lives, some argue that the benefits of its use are diminished by threats to personal privacy. Privacy concern is a desire to keep personal information out of the hands of others. Online privacy is becoming an increasingly important policy issue as consumer groups rally to protect what they perceive to be basic privacy rights whereas others argue for freedom of information. This article presents an overview of the literature on privacy studies and examines survey results relating to Internet users’ demographic characteristics using data from 1998 online Internet surveys conducted at the Graphics, Visualization, and Usability Center at the Georgia Institute of Technology. Results indicate that there are small differences among degrees of Internet privacy concerns across groups divided by sex, education level, income level, and race, with all groups preferring privacy to convenience.
Bibliometrics by using Web of Science.

Author Abstract: Web of Science is a convenient tool for bibliometrics of small or medium size research institute. Anyone can analyze statistics on production and citation of papers from small or medium size research institute. It guarantees transparency of the research evaluation. I analyzed National Institute of Bioscience and Human-Technology, National Institute of Materials and Chemical Research, University of Tsukuba Institute of Applied Biochemistry, and University of Tsukuba Department of Chemistry. The plot, Impact factor vs. citation gives interesting information.
Adaptive 3D reconstruction of archaeological pottery

In this paper we present a technique which estimates the next angle dynamically, depending on the entropy of the silhouette actually acquired. The relation proposed guarantees a uniform object resolution on one side and a minimal number of acquisition steps on the other side. The method has been tested on synthetic and real data with reasonably good results. The paper concludes with a presentation of results and an outlook on future work.
Hypertext and news stories

Abstract This paper outlines the ﬁndings of a small study used to inform the design of a mobile news application. It is part of a larger PhD project that uses a Research Through Design framework to investigate how hypertext might impact the design of journalistic narratives. This analysis of 24 news stories, news packages and content aggregation tools, reinforces previous studies that show journalism has not exploited the potential of hypertext as a narrative device. However, it also reveals opportunities to design news in a way that allows variation in plot, and to use shape as a tool for navigating complex stories. Introduction Journalism, as a practice and as an industry, is under pressure on a number of fronts. New technologies, the rise of free news sources, and legacy attitudes about audiences have created an environment in which media companies are struggling. While the emergence of new technologies and publishing platforms presents the industry with opportunities to develop new forms of storytelling, journalists still rely on traditional formats to construct narratives and engage with audiences. Media economists such as Picard argue that journalism has lost its economic value and a “new journalistic practice” is needed [50]. However, studies of online journalism show that the industry has failed to exploit the potential of digital platforms, in particular in the application of hypertext, interactivity and multimedia [5, 8, 21, 57]. Studies of hypertext in particular [4, 11, 19, 20, 36, 37, 38, 48, 61, 62, 63] reveal limited use of hyperlinks in online journalism, with the majority of links leading to pages on the same website and few links to primary sources or related background information. This has the effect of diluting the potential for greater interactivity, credibility, transparency and diversity that hypertext affords [14].
Design and use of a mobile, X-band, high range resolution, radar research facility

High range resolution (HRR) radar measurements can provide important feature information when performing noncooperative target recognition. This paper presents a joint development of a mobile, X-band, HRR research radar facility, by the research industries of the Centre for Science and Industrial Research (CSIR) (South Africa) and King Abdul Aziz City for Science and Technology (KACST) (Saudi Arabia). The radar employs true wideband processing in its complete RF and IF chain, supporting instantaneous bandwidths of up to 400 MHz. Its intended purpose is to enable rapid measurement campaigns of radar phenomenology that are of interest to target recognition. In this paper an overview of its design, as well as its performance in three representative experiments are presented. The experiments include human gait measurement and ISAR imaging of motor vehicles. (6 pages)
A mathematical programming approach for W-CDMA radio planning with uplink and downlink constraints

The mobile telecommunications industry throughout the world is currently shifting its focus from second-generation (2G) to third-generation (3G) UMTS technology. Service providers and manufacturers are investing in the design and manufacture of advanced mobile Internet/multimedia-capable wireless networks based on the wideband code division multiple access (W-CDMA) radio access platform. Previously, we studied the radio planning problem considering separately uplink and downlink direction and we proposed algorithms and a mathematical programming model for locating and configuring base stations aiming at maximizing coverage and minimizing cost (E. Amaldi et al., Proc. PIRMC'02, vol.1. p.315-19, 2002; Proc. IEEE VTC Fall 2002, vol.2. p.768-72, 2002; Proc. WCNC'03, 2003). We now describe an overall model which considers both uplink and downlink directions. We also propose a Tabu search algorithm and a simple power control mechanism to reduce drastically the computational time required to find an approximate solution of the mixed uplink and downlink model. Finally, some experimental results obtained for realistic instances are reported and discussed.
Context Strengthens Initial Misinterpretations of Text

Three self-paced reading experiments examined the effect of context on interpreting subsequent sentences and in the difficulty of revising initial misinterpretations of subsequent temporarily ambiguous sentences. Target sentences containing noun phrase/sentence (NP/S) coordination ambiguities were preceded by contexts that either did or did not support the preferred, incorrect “NP and NP” interpretation. Online reading times and offline comprehension question responses were the dependent variables. Results suggest that when propositional content of incoming text is consistent with propositional content of the context, readers often hang on to the resulting coherent interpretation even when subsequent input contradicts it. Results also suggest that (a) context affects reading times and final interpretation; (b) when context and comprehension questions bias readers toward the incorrect interpretation, even unambiguous sentences are regularly misinterpreted; and (c) both semantic content and syntactic form of context influence how the context and subsequent text are integrated in memory.
A 12-bit intrinsic accuracy high-speed CMOS DAC

A 12-bit intrinsic accuracy digital-to-analog (D/A) converter integrated in a standard digital 0.5 /spl mu/m CMOS technology is presented. It is based on a current steering doubly segmented 6+2+4 architecture and requires no calibration, no trimming, or dynamic averaging. The differential nonlinearity (DNL) and integral nonlinearity (INL) are 0.3 and 0.6 least significant bits (LSB's), respectively. The measured glitch energy is 1.9 pV.s. For a 12-bit resolution, the converter reaches an update rate of 300 MS/s. By reducing the voltage supply of the latches to 2.0 V, the glitch energy is reduced to sub-pV.s, and the update rate reaches 500 MS/s, for a resolution of 8 bits. The worst case power consumption is 320 mW, and it operates from a single 3.3 V voltage supply. The die area is 3.2 mm/sup 2/.
The effect of hormonal therapy for prostate cancer on the electrocardiographic QT interval: phase 3 results following treatment with leuprolide and goserelin, alone or with bicalutamide, and the GnRH antagonist abarelix

4578 Background: The electrocardiographic QT interval measures ventricular repolarization, and, if prolonged, may predispose to arrhythmias and sudden death. Preclinically, testosterone (T) deficiency may prolong the QT interval. However, the effect of hormone treatments (HTs) for prostate cancer which induce androgen deficiency (AD) has not been well studied. Methods: Three randomized Phase III studies were conducted that compared the GnRH antagonist abarelix to either goserelin plus bicalutamide (G+B) (Study 1); leuprolide (L) monotherapy (Study 2; Urology 58:756, 2001); or L plus B (L+B) (Study 3; J. Urol 167:1670, 2002) in patients (pts) with prostate cancer undergoing initial HT and included pts with Stage D1/D2 disease, rising PSA, intermittent HT or neoadjuvant HT. Study 1 prospectively evaluated data from 177 pts; Studies 2 and 3 retrospectively evaluated 299 of 520 treated pts. Barzett and Fredericia QT intervals (QTcB, QTcF) were measured at baseline (BL), days(D) 84 and 336 of treatment in Stud.
Improving the Small File Synchronous Write Performance for Parallel Filesystem

In parallel filesystem, data for a single file is striped across multiple storage nodes to provide high performance. But the synchronous write performance of the small file is always poor because it is low efficiency to strip the data of small file to multiple storage nodes. So, many parallel filesystem use the uniform distribution method to save whole the small file to on storage node. This storage method of small file leads to the performance bottle of small file synchronous write in parallel file system. This paper presents a high performance automatically cooperative synchronous write mechanism for the small file in parallel filesystem: C-SWM. C-SWM is a set of pure software mechanisms which provide the reliability of synchronous write operations with the performance of asynchronous write operations. The data of asynchronous write in C-SWM are saved on both two cooperative nodes in parallel filesystm before being written to disk. The experiments in this paper prove that the C-SWM can great improve the small file synchronous write performance in parallel filesystem.
A SURVEY ON THE RATE AND CAUSES OF WOMEN’S PARTICIPATION OR NONPARTICIPATION IN BREAST AND CERVICAL CANCERS SCREENING PROGRAMS

Introduction:Breast and cervical cancers have high prevalence and mortality among women. The screening tests are the best diagnostic methods that significantly decrease their mortality. This study was performed to determine the rate and causes of women’s participation or nonparticipation in screening programs of breast and cervical cancers among the women referred to clinics over Kerman city in 2007. Methods: This study is a descriptive research on 200 married women who referred to five distinct clinics in Kerman for their prenatal and postnatal care, family planning, baby vaccination and gynecologic visits. After a cluster sampling, data gathering was performed through a questionnaire with the reliability of 0.92. Data analysis was carried out using SPSS software (version 14) and ANOVA and chi-square tests. Results: According to the results, 22.5 of women were participated in breast self examination, 21.5 in clinical breast examination and 27 in Pap smear test. The most common cause for participating in breast-cancer screening was awareness of its importance and in cervical- cancer screening was early diagnosis of cancer. Also the most common cause for nonparticipation (in both breast and cervical-cancers screening programs) was none physicians’ recommendation. There was a significant relation between women’s participation in BSE with educational level and occupation (P<0.001), and between women’s participation in CBE and educational level, occupation (P<0.001) and economic level (P=0.04). Also there was a same scenario between participation in pap smear test and occupation (P<0.001), age (P=0/014), and educational level (P=0/016). Conclusion: Women’s participation in breast and cervical-cancers screening programs was not satisfactory. The most common causes for nonparticipation in these programs were both none physician recommendation and awareness. The study suggests the necessity of compiling the educational programs by health centers which aims to introducing women with these programs. It also seems that recommendation of physicians, midwives and health care providers is necessary in increasing the women’s participation in these programs.