Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Network-Based Computational Model for Prediction of Potential LncRNA–Disease Association

Accumulating studies have shown that long non-coding RNAs (lncRNAs) are involved in many biological processes and play important roles in a variety of complex human diseases. Developing effective computational models to identify potential relationships between lncRNAs and diseases can not only help us understand disease mechanisms at the lncRNA molecular level, but also promote the diagnosis, treatment, prognosis, and prevention of human diseases. For this paper, a network-based model called NBLDA was proposed to discover potential lncRNA–disease associations, in which two novel lncRNA–disease weighted networks were constructed. They were first based on known lncRNA–disease associations and topological similarity of the lncRNA–disease association network, and then an lncRNA–lncRNA weighted matrix and a disease–disease weighted matrix were obtained based on a resource allocation strategy of unequal allocation and unbiased consistence. Finally, a label propagation algorithm was applied to predict associated lncRNAs for the investigated diseases. Moreover, in order to estimate the prediction performance of NBLDA, the framework of leave-one-out cross validation (LOOCV) was implemented on NBLDA, and simulation results showed that NBLDA can achieve reliable areas under the ROC curve (AUCs) of 0.8846, 0.8273, and 0.8075 in three known lncRNA–disease association datasets downloaded from the lncRNADisease database, respectively. Furthermore, in case studies of lung cancer, leukemia, and colorectal cancer, simulation results demonstrated that NBLDA can be a powerful tool for identifying potential lncRNA–disease associations as well.
Contact sensitization to ingredients of dental materials and cosmetics in dental students: a pilot study.

OBJECTIVE The aim of this study was to evaluate the rate of contact sensitization to selected cosmetic allergens, i.e. ingredients of dental materials, in students of dental medicine and dental patients. METHODS A total of 50 participants were included in the study: 40 students of dental medicine exposed to the studied allergens during the course of practical education; and 10 randomly selected dental patients without occupational exposure to the investigated substances served as a control group. All of them were patch-tested with colophonium, myroxylon pereirae resin, paraben mix, fragrance mix I, isopropyl myristate, triclosan, polysorbate 80, compositae mix II, and hydroperoxides of limonene. RESULTS The sensitization rates for colophonium and polysorbate 80 were the highest. For the group of dental students, we established significantly higher sensitization rate for colophonium compared to the ones for myroxylon pereirae resin and hydroperoxides of limonene (χ2 = 4.93; p = 0.026), paraben mix (χ2 = 3.6; p = 0.05), isopropyl myristate (χ2 = 6.56; p = 0.01), and triclosan (χ2 = 8.5; p < 0.001); and to polysorbate 80 compared to the ones for myroxylon pereirae resin and hydroperoxides of limonene (χ2 = 3.97; p = 0.046), isopropyl myristate (χ2 = 5.47; p = 0.02) and triclosan (χ2 = 7.34; p = 0.007). Significantly increased concomitant sensitization rate to compositae mix and to hydroperoxides of limonene was established (χ2 = 12.55; p < 0.001). Generally, the incidence of concomitant sensitization to the studied allergens in the whole studied population was high. CONCLUSIONS Colophonium and polysorbate 80 could be outlined as sensitizers of paramount importance for both dental students and dental patients. We consider the major importance of exposure to colophonium during the course of practical education in dentistry for the onset of the sensitization. Sensitization to compositae mix was observed only among dental students. We consider the leading role of consumer exposure for the onset of the sensitization to triclosan and to hydroperoxides of limonene. Unexpected and unreported reactions of concomitant sensitization were observed.
Sex and Gender Role Differences in Occupational Exposures and Work Outcomes Among Registered Nurses in Correctional Settings.

BACKGROUND AND CONTEXT The correctional environment exposes registered nurses to unique occupational health hazards including, but not limited to, an increased risk for workplace violence. Gender role expectations regarding femininity and masculinity may influence occupational exposures and outcomes differently. Risk comparisons between male and female registered nurses working in correctional settings, have been minimally examined. With the proportion of male registered nurses working in corrections higher than that of nurses working in other healthcare sectors, and with the increasing number of males entering the nursing workforce in general, it is important to characterize and understand occupational exposures and outcomes of male and female registered nurses, especially those working in correctional settings. PURPOSE/OBJECTIVES This paper aims to describe and compare sex and gender role differences in occupational exposures and work outcomes among correctional registered nurses. METHODS A cross-sectional web-based survey using Qualtrics was administered to registered nurses working in a northeastern correctional healthcare system between June and October 2016. The survey was composed of 71 items from the CPH-NEW Healthy Workplace All Employee Survey, Assessing Risk of Exposure to Blood and Airborne Pathogens and General Health Survey, Bem Sex Role Inventory-Short Form (BSRI-SF), and the Negative Acts Questionnaire-Revised. RESULTS Of 95 registered nurse participants, 75% were female with the highest percentage identified as belonging to the feminine group (37%), while the highest percentage of male participants were identified as belonging to the androgynous group (33%). Females worked primarily on the first shift, while males tended to work the second and third shifts (P < 0.05). Over one third of all participants (37%) reported having experienced a sharps-related injury and having been exposed to blood-borne pathogens and body fluids within the previous 2-5 years. The majority of the participants (>95%) reported being at risk for workplace violence and having been victims of workplace violence perpetrated by an inmate. Significant gender differences (P < 0.0001) were noted in the bullying exposure with androgynous nurses having higher occasional bullying. There was a marginal difference in burnout for females (M = 6.8, SD = 2.1) and males (M = 5.8, SD = 1.9, P = 0.05). IMPLICATIONS Effective interventions are needed to address the sex and gender role-based differences in bullying exposure and burnout in order to promote the overall health and well-being of correctional registered nurses.
Lower Respiratory Tract Infections in Children in a Well-vaccinated South African Birth Cohort: Spectrum of Disease and Risk Factors.

BACKGROUND Childhood lower respiratory tract infections (LRTIs) cause substantial morbidity and under-5 child mortality. The epidemiology of LRTI is changing in low- and middle-income countries with expanding access to conjugate vaccines, yet there are few data on the incidence and risk factors for LRTI in these settings. METHODS A prospective birth cohort enrolled mother-infant pairs in 2 communities near Cape Town, South Africa. Active surveillance for LRTI was performed for the first 2 years of life over 4 respiratory seasons. Comprehensive data collection of risk factors was done through 2 years of life. World Health Organization definitions were used to classify clinical LRTI and chest radiographs. RESULTS From March 2012 to February 2017, 1143 children were enrolled and followed until 2 years of age. Thirty-two percent of children were exposed to antenatal maternal smoking; 15% were born at low birth weights. Seven hundred ninety-five LRTI events occurred in 429 children by February 2017; incidence of LRTI was 0.51 and 0.25 episodes per child-year in the first and second years of life, respectively. Human immunodeficiency virus (HIV)-exposed, uninfected infants (vs HIV-unexposed infants) were at increased risk of hospitalized LRTI in the first 6 months of life. In regression models, male sex, low birth weight, and maternal smoking were independent risk factors for both ambulatory and hospitalized LRTI; delayed or incomplete vaccination was associated with hospitalized LRTI. CONCLUSIONS LRTI incidence was high in the first year of life, with substantial morbidity. Strategies to ameliorate harmful exposures are needed to reduce LRTI burden in vulnerable populations.
Wake up and smell the coffee: caffeine supplementation and exercise performance—an umbrella review of 21 published meta-analyses

Objective To systematically review, summarise and appraise findings of published meta-analyses that examined the effects of caffeine on exercise performance. Design Umbrella review. Data sources Twelve databases. Eligibility criteria for selecting studies Meta-analyses that examined the effects of caffeine ingestion on exercise performance. Results Eleven reviews (with a total of 21 meta-analyses) were included, all being of moderate or high methodological quality (assessed using the Assessing the Methodological Quality of Systematic Reviews 2 checklist). In the meta-analyses, caffeine was ergogenic for aerobic endurance, muscle strength, muscle endurance, power, jumping performance and exercise speed. However, not all analyses provided a definite direction for the effect of caffeine when considering the 95% prediction interval. Using the Grading of Recommendations Assessment, Development and Evaluation criteria the quality of evidence was generally categorised as moderate (with some low to very low quality of evidence). Most individual studies included in the published meta-analyses were conducted among young men. Summary/conclusion Synthesis of the currently available meta-analyses suggest that caffeine ingestion improves exercise performance in a broad range of exercise tasks. Ergogenic effects of caffeine on muscle endurance, muscle strength, anaerobic power and aerobic endurance were substantiated by moderate quality of evidence coming from moderate-to-high quality systematic reviews. For other outcomes, we found moderate quality reviews that presented evidence of very low or low quality. It seems that the magnitude of the effect of caffeine is generally greater for aerobic as compared with anaerobic exercise. More primary studies should be conducted among women, middle-aged and older adults to improve the generalisability of these findings.
Underwater Acoustic Localization with Applications to Multiuser Communications

Multiuser underwater acoustic communications (UACs) have gained attention because of a number of applications. To assess the performance of multiuser UACs and reduce the cost of experiments, simulations of the signal transmission are used. However, the existing underwater signal transmission simulators suffer from complexity and signal length limitation when investigating multiuser UACs. Therefore, it is useful to develop a signal transmission simulator for UACs. To improve the performance and bandwidth efficiency of multi-user systems, arrays can be used at the transmitter with transmit beamforming, which require the channel state information (CSI) available at the receiver to be sent as a feedback message to the transmitter. A long feedback message in UAC is a waste of the throughput and sometimes impractical. Therefore, it is important to develop an advanced transmit beamforming method for the multiple transmit sensor array systems. In this thesis, an underwater channel simulator based on acoustic field computation is proposed. We pre-compute and store the acoustic field in the investigation area, thus speeding up the computation whilst maintaining the performance. Based on this, an underwater receiver localization method is then proposed. In the localization, the CSIs at specific points in the investigation area are pre-computed and compared with the CSI measured at the receiver, thus the position of the receiver is estimated as the point with the best match. It offers a more practical solution to the underwater localization problem. A receiver trajectory estimation technique combining the proposed localization and smoothing approach is also proposed to reduce the cost of infrastructure, and it can be applied in a two-dimensional plane and a three-dimensional space. An advanced beamforming technique is introduced in the transmitter design based on the proposed localization technique. It offers accurate detection performance and the length of the feedback message is reduced significantly.
Context-Enriched Regular Human Behavioral Pattern Detection From Body Sensors Data

Extracting indicative characteristics from the sensor data provide diverse avenues for improving the well-being of the elderly people living alone in their homes through understanding and identifying their behavioral patterns while considering any environmental changes. In this paper, we present a new model to explore the challenges associated with mining patterns from the body sensor data and their potential use in discovering regular human routines through mining periodic patterns from a non-uniform temporal database. The non-uniform nature of the temporal database adds more challenges to the mining of periodic patterns as the items may have different periodicity and frequency occurrences. Another challenge is how to discover the correlation between the discovered patterns. In addition, we examine the context-enriched periodic patterns which provide more insights about residents’ health. A new algorithm for the contextualized-correlated periodic pattern mining from a non-uniform temporal database is presented along with an extensive evaluation of its performance using a real-life dataset.
Single snapshot of optical properties image quality improvement using anisotropic two-dimensional windows filtering

Abstract. Imaging methods permitting real-time, wide-field, and quantitative optical mapping of biological tissue properties offer an unprecedented range of applications for clinical use. Following the development of spatial frequency domain imaging, we introduce a real-time demodulation method called single snapshot of optical properties (SSOPs). However, since this method uses only a single image to generate absorption and reduced scattering maps, it was limited by a degraded image quality resulting in artifacts that diminished its potential for clinical use. We present filtering strategies for improving the image quality of optical properties maps obtained using SSOPs. We investigate the effect of anisotropic two-dimensional filtering strategies for spatial frequencies ranging from 0.1 to 0.4 mm − 1 directly onto N = 10 hands. Both accuracy and image quality of the optical properties are quantified in comparison with standard, multiple image acquisitions in the spatial frequency domain. Overall, using optimized filters, mean errors in predicting optical properties using SSOP remain under 8.8% in absorption and 7.5% in reduced scattering, while significantly improving image quality. Overall this work contributes to advance real-time, wide-field, and quantitative diffuse optical imaging toward clinical evaluation.
Influence of physical factors of apartments, educational attainment, nationality and unemployment on the number of Cimex lectularius inquiries.

OBJECTIVE The aim of the study was to determine the effect of physical factors of apartments, educational attainment, nationality and unemployment on the number and distribution of bed bug call inquiries in Budapest, Hungary. METHODS Educational attainment, apartment conditions, the level of unemployment, the ratio of dependent people in the households, nationality and proportion of dependent people were selected as regressors. Monthly ambient temperature values were correlated with monthly call inquiry numbers. RESULTS Downtown units showed the highest call inquiry rates. Significant positive correlations were found between the call inquiry rates and the ratio of low educational attainment inhabitants (people with ≤ 8 school classes), the rate of small floor area apartments (apartment area < 29 m2), proportions of the comfortless apartments in the district housing stock and proportion of unemployed people on district level as well as proportion of gypsy inhabitants in the districts. Significant negative correlation was found between the call inquiry rates and the average area (m2) of apartments. The number of call inquiries showed expressed, temperature-depending seasonality between March and December 2015. In multiple regression analyses, the level of unemployment and proportion of gypsy inhabitants showed significant correlations with the rate of bed bug call inquiries. CONCLUSIONS Apartment conditions, educational attainment, nationality, unemployment, and the city structure have notable influence on the occurrence of bed bug call inquiries on urban level, although the level of unemployment and nationality seem to be the strongest factors. The annual changes of the ambient temperature have effect on the call inquiry rate.
Application of MCC-based Robust High-degree Cubature Kalman Filter in Integrated Navigation System

As the integrated navigation system is a nonlinear system, in the case of non-gaussian noise, the traditional nonlinear gaussian filtering algorithm has a serious problem of decreasing filtering precision. In this paper, a new robust high-degree Cubature Kalman filtering algorithm is proposed, which takes into account the nonlinearity of the system and non-gaussian noise. The algorithm improves the measurement updating process by using the Maximum correntropy criterion(MCC), and converts the traditional measurement updating problem into the linear regressione quation solving problem. Combines the advantages of Maximum correntropy criterion and Cubature Kalman filter to deal with non-Gaussian and nonlinear systems. The proposed algorithm is applied to the SINS/GPS integrated navigation system, the simulation results show that the proposed algorithm’s filtering performance is greatly affected by the kernel width. Under the condition of gaussian mixture noise, the new robust high-degree Cubature Kalman filter based on Maximum correntropy criterion(MCC-HCKF) is more robust and has higher filtering precision than the traditional high-degree Cubature Kalman filter(HCKF).
Finding Probabilistic Skyline Points by using Dimensionality Reduction and Boundary detection Approach in Distributed Environment

A skyline of a n-dimensional data contains the data objects that are not dominated by any other data object on all dimensions. However, as the number of data dimensions increases the probability of domination points become very low, accordingly the number of points in the skyline becomes large. Also skyline search space has been identified as the key problem in real-time multidimensional databases. None of the traditional search techniques include the use of dimensionality reduction to optimize the search space. Skyline query computation on the server consecutively reduces the amount of data transferred between the server sites. Traditional static lower bound and upper bound probability computation will increase the number of non-dominance points. In this proposed work, an optimized skyline boundary detection algorithm is used to filter the skyline objects and pruning the local probability. Also, global probability computation was improved on the large skyline databases in order to minimize the search space and storage . The experimental results show that the efficiency of the proposed approach compared to traditional static skyline bound techniques in terms of time and search space are concerned.
Imaging of Total Ankle Arthroplasty: Normal Imaging Findings and Hardware Complications

Abstract End-stage ankle osteoarthritis often significantly impacts patients' quality of life. This can be managed surgically either by ankle arthrodesis or total ankle arthroplasty (TAA). Although ankle arthrodesis is considered by some as the standard-of-care surgical option for this condition, it restricts range of motion and may lead to accelerated osteoarthritis of neighboring joints. Better understanding of ankle biomechanics, the biological effects of orthopaedic devices, and new surgical techniques have led to significant improvements in the designs of TAAs, and over the last several decades TAA has been used increasingly to treat patients with end-stage tibiotalar osteoarthritis. However, complication and ultimate failure rates remain greater than those seen with total knee and hip arthroplasty, and imaging is often critical in determining whether a prosthesis is beginning to fail. As a result, imagers should be familiar with the basic types of TAAs in clinical use, the normal radiographic appearances, as well as the common complications seen with this procedure.
A Study on the Activities of Touch Point and Consumer Information Search in the Multimedia Environment

The purpose of this study is, in the situation that consumers use not only online news but social media as information delivery media, based on web data, to examine the effect of touch point activities in two media different according to product types on consumer search activities. To do this, we traced the patterns of information diffusion according to time, by extracting the number of the web postings of the information about the products from on-line news and blogs on a weekly or monthly basis, and identified consumer search activities about the goods by using their search traffics provided on a weekly basis by portal sites As a result of the study, it turned out that touch point activities and consumer search activities are different from each other in two media different according to product types. Specifically speaking, as for utilitarian goods, it appeared that there were correlations between the touch points and consumer search activities of the two different information media. In particular, more similarity in the patterns of information diffusion was found in the news sites than in the blogs. In the case of hedonic goods, the correlations between touch points and consumer search activities showed different results according to the time intervals. A monthly analysis showed that the consumer search activities had correlations not with on-line news, but with blogs. On the contrary, a weekly analysis showed that they had higher correlations with blogs than with on-line news sites though having correlations with both the two.
Enhancing Fault Divination Accuracy Using Naïve Bayes Classifier with PYTHON and PHP

Programming Fault forecast has turned out to be most essential in programming Development uncommonly in programming Testing. The exact extrapolation of issues in conundrum can help to patch test effort, which decreases expenses and repair the nature of programming. Issue forecast model utilizing object situated measurements for code, datasets as info qualities to anticipate the issue probability by Naïve Bayes Classifier and these mock-ups have been far and wide utilized for bunching and grouping likewise exceptionally flawless eccentric to Bayesian systems for expansive range likelihood evaluation, generally in shortcoming expectation. In this paper, Naive Bayes classifier has been actualized on different consistent datasets.
Image Enhancement Of Gray Level Colored Images Through Redistributing The Histogram

In this paper, we are presenting Histogram Equalization for the shading picture and demonstrating the correlation for Mean, Entropy, BGL for HE and MHE. Results clarifies that the proposed system is capable for upgrading the nature of picture that is by and large ad libbed by the HM and HE and additionally HR is actualized for redistributing the histogram as an outline GLG (gathering of dark level), RGB shading. The R, G and B components are taken and their remapping is finished. Taking R, G and B part separately and remap them.