Miracle-dz/UniFAR-FTUs huggingface dataset:
A Machine Learning Approach for Rating the Quality of Depression Treatment Web Pages

As health care information proliferates on the web, the content quality is varied and difficult to assess, partially due to the large volume and the dynamicity. This paper reports an automated approach in which the quality of depression treatment web pages is assessed according to evidence-based depression treatment guidelines. A supervised machine learning technique, specifically Naive Bayes classification, is used to identify the sentences that are consistent with the guidelines. The quality score of a depression treatment web page is the number of unique evidence-based guidelines covered in this page. Significant Pearson correlation (p<.001) was found between the quality rating results by the machine learning approach and the results by human raters on 31 depression treatment web pages in this case study. The semantic-based, machine learning quality rating method is promising and it may lead to an efficient and effective quality assessment mechanism for health care information on the Web.
Coping with catastrophe.

New updated! The latest book from a very famous author finally comes out. Book of coping with catastrophe, as an amazing reference becomes what you need to get. What's for is this book? Are you still thinking for what the book is? Well, this is what you probably will get. You should have made proper choices for your better life. Book, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with.
DEVELOPMENT OF GENETIC ALGORITHM BASED HYBRID NEURAL NETWORK MODEL FOR PREDICTING THE ULTIMATE FLEXURAL STRENGTH OF FERROCEMENT ELEMENTS

This paper demonstrates the applicability of Hybrid Neural Networks that combine simple back propagation networks (BPN) and Genetic Algorithms (GAs) for predicting the ultimate flexural strength of ferrocement elements. A hybrid neural network model has been developed to predict the ultimate flexural strength of ferrocement elements with span to depth ratios (3, 6, 9 & 11.45), number of mesh layers (0, 1, 3 & 5) and percentage replacement of silicafume (0, 5, 10, 15, 20 & 25) as input parameters. The network has been trained with experimental data obtained from experimental work. The hybrid neural network model learned the relationship for predicting the ultimate flexural strength in just 300 training epochs. After successful learning, the model predicted the ultimate flexural strength satisfying all the constraints with an accuracy of 95%. The
The Kuder Skills Assessment—College and Adult Version

This article introduces the Kuder Skills Assessment—College and Adult version (KSA-CA; Rottinghaus, 2006), a new measure incorporating advances in the measurement of self-efficacy across 16 basic occupational domains (e.g., finance, information technology) and the six Kuder Clusters. Similar to the original development sample, all scales of the KSA-CA were highly internally consistent, and demonstrated expected gender differences and relations with each other in a sample of 241 business students from a large Midwestern university. Of the 198 participants who had selected a specific business major, four specialty areas were identified: accounting, management, finance, and marketing. Mean KSA-CA scores were examined between the development and business samples and among the specialty groups. The business sample scored higher than the development sample across nine domains, including all with business-related content. Several relevant scales distinguished subgroups of business majors supporting the validity of the specialized KSA-CA scales.
A Tool that Uses Human Factors to Simplify Model Building and Facilitate More Accurate Strategic Decisions

This paper describes a tool to validate hypotheses in strategic decision making. The system builds on experimental evidence of human factors that lead to more accurate decisions. The paper shows how those factors are translated into specifications for a user interface that simplifies the capture of expert knowledge to create complex models of strategic domains of interest. The tool uses graphical probabilistic reasoning, combined with text classification methods, to expedite the search for relevant information in a large number of documents to help validate hypotheses.
Pregnancy Characteristics and Maternal Risk of Breast Cancer

In a population-based case-control study of parous women less than 45 years of age, we evaluated the relations of various pregnancy characteristics to maternal breast cancer risk. Cases (N = 1,239) diagnosed with in situ or invasive breast cancer from 1990 to 1992 in Atlanta, GA, Seattle/Punt Sound, WA, and five counties in central New Jersey, and population controls (N = 1,166) identified by random-digit dialing, were interviewed regarding the details of their pregnancies. We used logistic regression to estimate relative risks (RR) and 95% confidence intervals (CI) and to adjust for breast cancer risk factors. Women who reported nausea or vomiting in their first pregnancy had a slightly lower risk of breast cancer (RR = 0.87; 95% CI = 0.72–1.0). We found no strong or consistent associations for maternal risk related to gestational length, pregnancy weight gain, gestational diabetes, pregnancy hypertension, or gender of the offspring, although we found some evidence for reductions in risk for toxemia (RR = 0 81; 95% CI = 0.61–1.1) and specific sex (RR for female twins vs singletons = 0.48; 95% CI = 0.20–1.3) and timing characteristics of twinning. Overall, these data provide little support for the hypothesis that pregnancy hormone levels are associated with subsequent maternal risk of breast cancer in young women. (Epidemiology 1998; 9:641–647)
Selected Pre-Vocational Students' Experiences of School in Brunei Darussalam.

There is a lack of studies on the school experiences of students in the pre-vocational programme in Brunei Darussalam. The aim of this study is find out what are the students’ experiences at school, what they go through at school and so on. A qualitative approach was utilized whereby in-depth, semi-structured interviews were conducted with seven students from two local secondary schools. Some of the findings included overall positive views of school and the acquiring of daily living skills which they felt was important to them. It was found that success and happiness is associated with their favourite subjects and interests. It appeared that there is a good camaraderie between teachers and students indicating that friends and more importantly teachers play a vital role in their lives. Also, the students seem to have a strong sense of family and ambitions. The students encountered some problems related to bullying by classmates and other students and trouble-makers which affect them negatively. In addition, the students faced punishments and one student complained of negative teacher attitudes. It was concluded that lessening their problems could help make school more pleasant for them. Finally, there should be more emphasis on family involvement and that the importance of school to work transition to realise their dreams and ambitions should not be taken lightly. Background
Validity of Korean form of Geriatric Depression Scale (KGDS) among cognitively impaired Korean elderly and development of a 15‐item short version (KGDS‐15)

This study aimed to develop from the Korean Form of Geriatric Depression Scale (KGDS) a 15‐item short version (KGDS‐15); to analyse the internal consistency and criterion validity of KGDS and KGDS‐15; and to investigate the possible factors contributing to misclassification. The KGDS for screening of depression and interviews with the Hamilton Rating Scale for Depression (HAM‐D) for diagnosis of depression were performed in community‐dwelling, cognitively impaired elderly Koreans. The KGDS‐15 items were chosen from those in the KGDS showing high item‐total score coefficients calculated using Cronbach's alpha. For both KGDS and KGDS‐15, the internal consistencies were good, and areas under the receiver operating characteristics curves served by HAM‐D as a gold standard, were acceptable. Lower level of education, being currently unemployed, living in rented accommodation and having chronic medical illness were independently associated with the outcome and the misclassification of the KGDS. The KGDS‐15 was proved to be equally or more valid and less affected by above factors than the KGDS. The newly developed KGDS‐15, as well as the KGDS, could be used for screening for depression overall in the community‐dwelling cognitively impaired elderly, but the resulting scores should be interpreted carefully. Copyright © 2001 Whurr Publishers Ltd.
TP53 mutation signature supports involvement of aristolochic acid in the aetiology of endemic nephropathy‐associated tumours

The proposal has been put forward that the primary cause of Balkan endemic nephropathy (BEN) is exposure to food crops contaminated with seeds of Aristolochia spp, which contain high levels of aristolochic acids (AA). Recently, tumour DNA samples from patients with BEN were found to harbour principally A to T mutations in the TP53 tumour suppressor gene (Grollman et al., Proc Natl Acad Sci USA 2007;104:12129–34). Using a novel mutation assay in which we can induce and select mutations in human TP53 sequences in vitro by exposure of cultured cells to a mutagen, we found that A to T mutations were elicited by aristolochic acid at sites in TP53 rarely mutated in human cancers in general, but which were observed in the BEN patients. This concordance of specific mutations in patient tumours and aristolochic acid I‐exposed cultures supports the argument that AA has a direct role in the aetiology of BEN‐associated cancer. © 2008 Wiley‐Liss, Inc.
Getting Them on the Same Page: A Method to Study the Consistency of Coaches' and Athletes' Situation Understanding During Training Sessions and Competitions

This article presents a method for studying the consistency of coaches’ and athletes’ situation understanding. Three elite athletes and their coach were video recorded during winter training session, international summer competition, and training session following competition. Postperformance self-confrontation interviews were conducted separately with each participant, who was asked to describe his/her activity in relation to the events observed. Interview data were used to characterize compatible (i.e., similar or the same) information between coach and athlete and modes of compatibility. Results showed compatible situation understanding was based on five information categories: (a) technical elements, (b) athlete’s psychological states, (c) organization and safety, (d) performance, and (e) athlete’s experience. Results also showed whether coaches’ and athletes’ information were not compatible, compatible, or mutually compatible. The method used and specific findings are discussed in relation to the ana.
Matching of PDB chain sequences to information in public databases as a prerequisite for 3D functional site visualization

Abstract The 3D structures of biomacromolecules stored in the Protein Data Bank [1] were correlated with different external, biological information from public databases. We have matched the feature table of SWISS-PROT [2] entries as well InterPro [3] domains and function sites with the corresponding 3D-structures. OMIM [4] (Online Mendelian Inheritance in Man) records, containing information of genetic disorders, were extracted and linked to the structures. The exhaustive all-against-all 3D structure comparison of protein structures stored in DALI [5] was condensed into single files for each PDB entry. Results are stored in XML format facilitating its incorporation into related software. The resulting annotation of the protein structures allows functional sites to be identified upon visualization.
Comprehensive Design and Optimization of a High-Power-Density Single-Phase Boost PFC

The design of a single-phase boost power-factor-correction (PFC) circuit is associated with a large variety of considerations, such as the following questions. Which operation mode should be selected (e.g., continuous or discontinuous operation)? How many interleaved boost cells are advantageous? Which switching frequency should be selected? What is the optimum number of EMI input filter stages? Which semiconductor technology should be chosen? All these issues have a significant influence on the converter efficiency and power density. In this paper, the aforementioned questions are addressed for exemplary specifications of the PFC (300-W output power, 400-V output voltage, and 230-V mains voltage), whereby the focus in the design is mainly put on very high power density. As a result, different design points are identified and comparatively evaluated. By considering different aspects such as volume, losses, capacitor lifetime, and also cost issues (e.g., by additional current sensors or expensive silicon carbide devices), a dual-interleaved PFC operated in discontinuous conduction mode at 200 kHz is selected. With an experimental prototype, a superior power density of 5.5 kW/L and a system efficiency of 96.4% are achieved, which is close to the values predicted by the design procedure. Furthermore, measurements verify a near-unity power factor (PF = 99.7%) and the compliance with electromagnetic compatibility conducted noise emission standards. Finally, it is investigated to which extent the power density could be further increased by an integration of the input filter in the PCB.
Computational zoom

Capturing a picture that "tells a story" requires the ability to create the right composition. The two most important parameters controlling composition are the camera position and the focal length of the lens. The traditional paradigm is for a photographer to mentally visualize the desired picture, select the capture parameters to produce it, and finally take the photograph, thus committing to a particular composition. We propose to change this paradigm. To do this, we introduce computational zoom, a framework that allows a photographer to manipulate several aspects of composition in post-processing from a stack of pictures captured at different distances from the scene. We further define a multi-perspective camera model that can generate compositions that are not physically attainable, thus extending the photographer's control over factors such as the relative size of objects at different depths and the sense of depth of the picture. We show several applications and results of the proposed computational zoom framework.
Development of a Mandarin Monosyllable Recognition Test

Objective: This study aimed to develop a set of 50- and 25-item word lists that exhibited familiarity, homogeneity, and phonemic balance for a Mandarin monosyllable recognition test (MMRT). Design: To achieve the design goal of high subject familiarity with the test material, we selected the 700 most frequently occurring monosyllables to be the test material. The homogeneity of the test material was achieved by evaluating five psychometric characteristics of these 700 monosyllables to obtain 348 homogeneous monosyllables with similar psychometric functions for constructing the word lists. The phonemic balance of the 50-item word lists was achieved by deriving the desired numbers of initials, finals, and tones in these lists according to their occurrence frequencies in 4733 monosyllabic words. The phonemic balance of the 25-item word lists was achieved by equally dividing the desired numbers of initials, finals, and tones in the 50-item word lists into two groups, called half-A and half-B lists. Three half-A lists and three half-B lists were constructed from the 348 homogeneous monosyllables, and they could be paired to form nine 50-item word lists. Accordingly, all of the MMRT word lists are familiar, homogeneous, and phonemically balanced. Results: The homogeneity of the MMRT word lists was examined by evaluating the interlist equivalence, interitem variability, and intersubject variability. A &khgr;2 test was used to evaluate the interlist equivalence among the MMRT word lists; that is, to determine whether the values of percent correct recognition were distributed identically at 12 different presentation levels among the six 25-item word lists and nine 50-item word lists. No statistically significant differences were found among the word lists: &khgr;2(55) = 12.004 and p = 1.000 for the six 25-item word lists, &khgr;2(88) = 7.695 and p = 1.000 for the nine 50-item word lists, and &khgr;2(154) = 19.699 and p = 1.000 for the six 25-item word lists plus nine 50-item word lists. The &khgr;2 tests indicated that the six 25-item word lists and nine 50-item word lists exhibited interlist equivalence. The mean interitem variability (2.0 dB) and mean intersubject variability (2.3 dB) are lower for the MMRT word lists than for previously reported word recognition tests. Conclusion: This study applied an innovative approach to design MMRT word lists from familiar and homogeneous monosyllables, in which the familiarity, homogeneity, and phonemic balance of the six 25-item and nine 50-item word lists were strictly controlled. These word lists exhibit interlist equivalence with respect to their psychometric functions and five psychometric characteristics; moreover, their interitem and intersubject variability are lower than those of previously reported lists. Future clinical experiments should examine whether such a design approach can improve the reliability and diagnostic sensitivity of word recognition tests for hearing-impaired listeners.
True online TD(λ)

TD(λ) is a core algorithm of modern reinforcement learning. Its appeal comes from its equivalence to a clear and conceptually simple forward view, and the fact that it can be implemented online in an inexpensive manner. However, the equivalence between TD(λ) and the forward view is exact only for the off-line version of the algorithm (in which updates are made only at the end of each episode). In the online version of TD(λ) (in which updates are made at each step, which generally performs better and is always used in applications) the match to the forward view is only approximate. In a sense this is unavoidable for the conventional forward view, as it itself presumes that the estimates are unchanging during an episode. In this paper we introduce a new forward view that takes into account the possibility of changing estimates and a new variant of TD(λ) that exactlyachieves it. Our algorithm uses a new form of eligibility trace similar to but different from conventional accumulating and replacing traces. The overall computational complexity is the same as TD(λ), even when using function approximation. In our empirical comparisons, our algorithm outperformed TD(λ) in all of its variations. It seems, by adhering more truly to the original goal of TD(λ)--matching an intuitively clear forward view even in the online case--that we have found a new algorithm that simply improves on classical TD(λ).
Three Different Methods of Calculating Vertical Jump Height from Force Platform Data in Men and Women

The purpose of the present study was to investigate the effects of different methods to calculate vertical jump height in men and women. Fifty men and 50 women performed three countermovement vertical jumps for maximal height on a force platform, the highest of which was used in the statistical analyses. The peak displacement attained by the center of mass (COM) during flight was obtained from three different calculations: (1) using the time in the air (TIA), (2) using the vertical velocity of the COM at take-off (TOV), and (3) adding the positive vertical displacement of the COM prior to take-off to the height calculated using TOV (TOV+s). With all calculations, men produced significantly greater jump heights than women (p < 0.05). TIA produced significantly greater jump heights than TOV in men and women, while TOV+s produced significantly greater jump heights than both TIA and TOV in men and women (p < 0.05). Despite these differences, the methods produced consistent results for both men and women. All calculation methods have logical validity, depending upon the definition of jump height used. Therefore, the method used to calculate jump height should be determined by the equipment available to the practitioner while giving consideration to the sources of error inherent in each method. Based upon the present findings, when using a force platform to calculate vertical jump height, practitioners are encouraged to use the TOV method.
Isolation, characterization and effect of auxin producing bacteria on growth of Triticum aestivum.

Auxin, one of the most important phytohormones enhances the root architecture, nutrient acquisition and plant growth. Present study provides the screening, characterization and optimization of auxin producing bacteria from wheat rhizosphere. Effects of auxin producing isolates on seed germination and growth of T. aestivum were also evaluated. The Bacillus megaterium, Escherichia coli, Klebsiella pneumonia and Bacillus marinus (AUX36, AUX53, AUX137 and AUX142 respectively) were selected by salkowski reagent as auxin producers. Colorimetric analysis showed that all selected isolates produced maximum auxin in the presence of tryptophan at 37 °C and pH 7 after 72 hours of incubation. AUX36 and AUX137 produced maximum auxin at 0.98% (w/v) NaCl concentration, while AUX53 and AUX142 at 2% NaCl. Glucose supplementation enhanced the auxin in the culture filtrate of AUX53 and AUX137, while addition of sucrose in the growth medium enhanced the auxin production for all isolates except AUX142. The AUX36, AUX53 and AUX137, produced highest concentration of auxin at 0.1% peptone. Seed germination experiments using surface sterilized seeds of T. aestivum revealed that all isolates could increase root length of seedlings as compared to control. Comparison of various growth parameters after 15 days of growth showed that plant growth was significantly improved by bacterial treatments. All isolates had significant effect on root and shoot length of T. aestivum. It is concluded that Bacillus megaterium AUX36, Escherichia coli AUX53, Klebsiella pneumonia AUX137 and Bacillus marinus AUX142 may be used to develop indigenous biofertilizers in future after further investigations.
Global Public Health Intelligence Network (GPHIN)

GPHIN is a secure Internet-based “early warning” system that gathers preliminary reports of public health significance on a near “real-time” basis, 24 hours a day, 7 days a week. This unique multilingual system gathers and disseminates relevant information on disease outbreaks and other public health events by monitoring global media sources such as news wires and web sites. This monitoring is done in nine languages with machine translation being used to translate non-English articles into English and English articles into the other languages. The information is filtered for relevancy by an automated process which is then complemented by human analysis. The output is categorized and made accessible to users. Notifications about public health events that may have serious public health consequences are immediately forwarded to users. GPHIN is managed by the Public Health Agency of Canada’s Centre for Emergency Preparedness and Response (CEPR), which was created in July 2000 to serve as Canada’s central coordinating point for public health security. It is considered a centre of expertise in the area of civic emergencies including natural disasters and malicious acts with health repercussions.