Miracle-dz/UniFAR-FTUs huggingface dataset:
Blind Image Quality Assessment for Stereoscopic Images Using Binocular Guided Quality Lookup and Visual Codebook

The field of assessing three-dimensional (3-D) visual experience is challenging. In this paper, we propose a new blind image quality assessment for stereoscopic images by using binocular guided quality lookup and visual codebook. To be more specific, in the training stage, we construct phase-tuned quality lookup (PTQL) and phase-tuned visual codebook (PTVC) from the binocular energy responses based on stimuli from different spatial frequencies, orientations, and phase shifts. In the test stage, blind quality pooling can be easily achieved by searching the PTQL and PTVC, and the quality score is obtained by averaging the largest values of all patch's quality. Experimental results on three 3-D image quality assessment databases demonstrate that in comparison with the most related existing methods, the devised algorithm achieves high consistency alignment with subjective assessment and low-complexity pooling.
Comparison of bias-corrected covariance estimators for MMRM analysis in longitudinal data with dropouts

In longitudinal clinical trials, some subjects will drop out before completing the trial, so their measurements towards the end of the trial are not obtained. Mixed-effects models for repeated measures (MMRM) analysis with “unstructured” (UN) covariance structure are increasingly common as a primary analysis for group comparisons in these trials. Furthermore, model-based covariance estimators have been routinely used for testing the group difference and estimating confidence intervals of the difference in the MMRM analysis using the UN covariance. However, using the MMRM analysis with the UN covariance could lead to convergence problems for numerical optimization, especially in trials with a small-sample size. Although the so-called sandwich covariance estimator is robust to misspecification of the covariance structure, its performance deteriorates in settings with small-sample size. We investigated the performance of the sandwich covariance estimator and covariance estimators adjusted for small-sample bias proposed by Kauermann and Carroll (J Am Stat Assoc 2001; 96: 1387–1396) and Mancl and DeRouen (Biometrics 2001; 57: 126–134) fitting simpler covariance structures through a simulation study. In terms of the type 1 error rate and coverage probability of confidence intervals, Mancl and DeRouen’s covariance estimator with compound symmetry, first-order autoregressive (AR(1)), heterogeneous AR(1), and antedependence structures performed better than the original sandwich estimator and Kauermann and Carroll’s estimator with these structures in the scenarios where the variance increased across visits. The performance based on Mancl and DeRouen’s estimator with these structures was nearly equivalent to that based on the Kenward–Roger method for adjusting the standard errors and degrees of freedom with the UN structure. The model-based covariance estimator with the UN structure under unadjustment of the degrees of freedom, which is frequently used in applications, resulted in substantial inflation of the type 1 error rate. We recommend the use of Mancl and DeRouen’s estimator in MMRM analysis if the number of subjects completing is (n + 5) or less, where n is the number of planned visits. Otherwise, the use of Kenward and Roger’s method with UN structure should be the best way.
High-Speed OQPSK and Efficient Power Transfer Through Inductive Link for Biomedical Implants

Biomedical implants require wireless power and bidirectional data transfer. We pursue our previous work on a novel topology for a multiple carrier inductive link by presenting the fabricated coils. We show that the coplanar geometry approach is better suited for displacement tolerance. We provide a theoretical analysis of the efficiency of power transfer and phase-shift-keying communications through an inductive link. An efficiency of up to 61% has been achieved experimentally for power transfer and a data rate of 4.16 Mb/s with a bit-error rate of less than 2 × 10-6 has been obtained with our fabricated offset quadrature phase-shift keying modules due to the inductive link optimization presented in this paper.
Evaluating disease prediction models using a cohort whose covariate distribution differs from that of the target population

Personal predictive models for disease development play important roles in chronic disease prevention. The performance of these models is evaluated by applying them to the baseline covariates of participants in external cohort studies, with model predictions compared to subjects' subsequent disease incidence. However, the covariate distribution among participants in a validation cohort may differ from that of the population for which the model will be used. Since estimates of predictive model performance depend on the distribution of covariates among the subjects to which it is applied, such differences can cause misleading estimates of model performance in the target population. We propose a method for addressing this problem by weighting the cohort subjects to make their covariate distribution better match that of the target population. Simulations show that the method provides accurate estimates of model performance in the target population, while un-weighted estimates may not. We illustrate the method by applying it to evaluate an ovarian cancer prediction model targeted to US women, using cohort data from participants in the California Teachers Study. The methods can be implemented using open-source code for public use as the R-package RMAP (Risk Model Assessment Package) available at http://stanford.edu/~ggong/rmap/.
Impact of alcohol use on poor families: a study from North India

Introduction Alcohol consumption is increasing in developing countries including India. This increase has an impact on the society, especially among the poor. Aim The aim of this initial study was to assess the impact of heavy drinking on the finances and health of poor urban families in Delhi, India. Method Two groups of families within the same community were interviewed by a trained research assistant, using a semistructured questionnaire. Group A (98 families) had at least one adult consuming alcoholic drinks at least 3 times per week in the last month and Group B (99 families) had no adult consuming more than one drink in the last month. The two groups were selected from screening of successive households. Results Group A spent 14 times more on alcohol per month and had financial debt significantly higher than Group B. Group A reported significantly more cases of major illnesses but perceived significantly less severe health, social and economic effects of drinking than those from Group B. Conclusion The study highlighted some differences between heavy‐drinking and nondrinking families within the same community with respect to the adverse economic and health‐related conditions. Perception about effects of alcohol on the family and health also differed. These findings suggest the need to develop policies and programmes to alleviate alcohol‐related problems in the community.
Status of children in east Delhi: Care during delivery, immunization and occurrence of some acute diseases

Care of a child from the birth itself is of great significance to ensure the growth of the same into a healthy adult. The knowledge of the extent of morbidity and its determinants is very important as it reflects both well and ill being of the community. The information on the prevalence and about the type of illness is helpful in assessing the burden and sufferings associated with illness. Government has implemented several programmes emphasizing upon the attention by trained persons at birth to ensure safe delivery immunization of children to prevent them from six deadly diseases and to control Diarrhoeal diseases Acute Respiratory infections and other infections that are very common in childhood. Some studies provide information on such aspects but there is no study which provides comprehensive information on these aspects for East Delhi that may be treated as baseline information for comparison purposes in the years to come of development. Therefore in the present paper an attempt has beenmade to provide baseline information for children up to 5 years of age based on a large survey covering 20000 households. (excerpt)
An Ultra-Linear Piezo-Floating-Gate Strain-Gauge for Self-Powered Measurement of Quasi-Static-Strain

In this paper we describe a self-powered sensor that can be used for in-vivo measurement of the quasi-static-strain and also for in-vivo measurement of the L1 norm of the strain signal. At the core of the proposed design is a linear floating-gate injector that can achieve more than 13 bits of precision in sensing, signal integration and non-volatile storage. The injectors are self-powered by the piezoelectric transducers that convert mechanical energy from strain-variations into electrical energy. A differential injector topology is used to measure the quasi-static strain by integrating the difference between the L1 norm of the piezoelectric signal generated during the positive and negative strain-cycles. The linear floating-gate injectors are integrated with charge-pumps, digital calibration circuits and digital programming circuits to form a system-on-chip solution that can interface with a standard bio-telemetry platform. We demonstrate the proof-of-concept self-powered measurement of quasi-static strain and L1 norm of the strain signal using sensor prototypes fabricated in a 0.5- μm standard CMOS process and validated using a bench-top biomechanical test setup.
Wireless Recording Systems: From Noninvasive EEG-NIRS to Invasive EEG Devices

In this paper, we present the design and implementation of a wireless wearable electronic system dedicated to remote data recording for brain monitoring. The reported wireless recording system is used for a) simultaneous near-infrared spectrometry (NIRS) and scalp electro-encephalography (EEG) for noninvasive monitoring and b) intracerebral EEG (icEEG) for invasive monitoring. Bluetooth and dual radio links were introduced for these recordings. The Bluetooth-based device was embedded in a noninvasive multichannel EEG-NIRS system for easy portability and long-term monitoring. On the other hand, the 32-channel implantable recording device offers 24-bit resolution, tunable features, and a sampling frequency up to 2 kHz per channel. The analog front-end preamplifier presents low input-referred noise of 5 μ VRMS and a signal-to-noise ratio of 112 dB. The communication link is implemented using a dual-band radio frequency transceiver offering a half-duplex 800 kb/s data rate, 16.5 mW power consumption and less than 10-10 post-correction Bit-Error Rate (BER). The designed system can be accessed and controlled by a computer with a user-friendly graphical interface. The proposed wireless implantable recording device was tested in vitro using real icEEG signals from two patients with refractory epilepsy. The wirelessly recorded signals were compared to the original signals recorded using wired-connection, and measured normalized root-mean square deviation was under 2%.
Taking stock: A meta-analysis of studies on the media’s coverage of science

The presentation of science in the mass media is one of the most important questions facing social scientists who analyse science. Accordingly, media coverage of science has been a constant focal point in the respective literature, and a flurry of such publications has appeared in the past few years. Yet the activity and growth of the respective research have not been accompanied by systematic overviews. This article aims to provide such an overview by means of a meta-analysis: it analyses existing studies systematically and provides an empirical overview of the literature. The analysis shows that while the research field grew significantly in the past few years and employs a variety of research strategies and methods, it has been biased in three ways: mainly natural sciences (and namely biosciences and medicine), Western countries, and print media have been analysed.
Preanalytical variability: the dark side of the moon in laboratory testing

Abstract Remarkable advances in instrument technology, automation and computer science have greatly simplified many aspects of previously tedious tasks in laboratory diagnostics, creating a greater volume of routine work, and significantly improving the quality of results of laboratory testing. Following the development and successful implementation of high-quality analytical standards, analytical errors are no longer the main factor influencing the reliability and clinical utilization of laboratory diagnostics. Therefore, additional sources of variation in the entire laboratory testing process should become the focus for further and necessary quality improvements. Errors occurring within the extra-analytical phases are still the prevailing source of concern. Accordingly, lack of standardized procedures for sample collection, including patient preparation, specimen acquisition, handling and storage, account for up to 93% of the errors currently encountered within the entire diagnostic process. The profound awareness that complete elimination of laboratory testing errors is unrealistic, especially those relating to extra-analytical phases that are harder to control, highlights the importance of good laboratory practice and compliance with the new accreditation standards, which encompass the adoption of suitable strategies for error prevention, tracking and reduction, including process redesign, the use of extra-analytical specifications and improved communication among caregivers.
Green metacycles of attention: Reassessing the attention cycles of environmental news reporting 1961–2010

This article examines the longitudinal development of environmental news reporting in Swedish television over an extended period of time, 1961–2010. It returns to Anthony Downs’s (1972) seminal article on issue attention cycles when analyzing the cyclic nature of environmental news reporting and advances the issue attention cycle framework by introducing the concept of metacycles as it explores the trajectory of environmental news reporting. Metacycles refers to the major fluctuations in attention to the entire domain of environmental issues over time, while issue cycles refer to the oscillation in attention pertaining to single issues. The article analyzes the pattern of the metacycles, and investigates how cycles of attention to individual issues contribute to the shaping of the environmental metacycles in the news.
Food crisis coverage by social and traditional media: A case study of the 2008 Irish dioxin crisis

The world of communication has changed significantly in the last decade as a result of the evolution of social media. Food crisis managers and communicators should be cognizant of the messages presented to the public by all media channels during a crisis. Using the 2008 Irish dioxin contamination incident as an example, a quantitative content analysis was carried out to investigate the relationship between social and traditional media. Messages published in printed newspapers (n = 141), blogs and forums (n = 107), and Twitter (n = 68) were analysed to investigate sourcing practice, story topic and use of tone. Results revealed that traditional media relied on diverse offline sources in reporting a wide range of topics. In comparison, social media responded faster and diminished faster, using offline and online media news messages as the primary sources in reporting very limited topics. No significant difference was found in the presence of negative tone across media.
Transceiver Design for CMUT-Based Super-Resolution Ultrasound Imaging

A recently introduced structure for the capacitive micromachined ultrasonic transducers (CMUTs) has focused on the applications of the asymmetric mode of vibration and has shown promising results in construction of super-resolution ultrasound images. This paper presents the first implementation and experimental results of a transceiver circuit to interface such CMUT structures. The multiple input/multiple output receiver in this work supports both fundamental and asymmetric modes of operation and includes transimpedance amplifiers and low-power variable-gain stages. These circuit blocks are designed considering the trade-offs between gain, input impedance, noise, linearity and power consumption. The high-voltage transmitter can generate pulse voltages up to 60 V while occupying a considerably small area. The overall circuit is designed and laid out in a 0.35 μm CMOS process and a four-channel transceiver occupies 0.86 × 0.38 mm 2. The prototype chip is characterized in both electrical and mechanical domains. Measurement results show that each receiver channel has a nominal gain of 110 dB Ω with a 3 dB bandwidth of 9 MHz while consuming 1.02 mW from a 3.3 V supply. The receiver is also highly linear, with 1 dB compression point of minimum 1.05 V which is considerably higher than the previously reported designs. The transmitter consumes 98.1 mW from a 30 V supply while generating 1.38 MHz, 30 V pulses. The CMOS-CMUT system is tested in the transmit mode and shows full functionality in air medium.
Design and Experimental Investigation of a Compact Circularly Polarized Integrated Filtering Antenna for Wearable Biotelemetric Devices

A compact circularly polarized (CP) integrated filtering antenna is reported for wearable biotelemetric devices in the 2.4 GHz ISM band. The design is based on a mutual synthesis of a CP patch antenna connected to a bandpass filter composed of coupled stripline open-loop resonators, which provides an integrated low-profile radiating and filtering module with a compact form factor of 0. 44λ0 × 0. 44λ0 × 0. 04λ0. The optimized filtering antenna is fabricated and measured, achieving an , an axial ratio of less than 3 dB and gain higher than 3.5 dBi in the targeted ISM band. With the integrated filtering functionality, the antenna exhibits good out-of-band rejection over an ultra-wide frequency range of 1-6 GHz . Further full-wave simulations and experiments were carried out, verifying that the proposed filtering antenna maintains these desirable properties even when mounted in close proximity to the human body at different positions. The stable impedance performance and the simultaneous wide axial ratio and radiated power beam widths make it an ideal candidate as a wearable antenna for off-body communications. The additional integrated filtering functionality further improves utility by greatly reducing interference and crosstalk with other existing wireless systems.
Helium Administration During Mechanical Ventilation in Children with Respiratory Failure

Helium is an inert gas and does not interact with living tissues. Although it possesses no inherent therapeutic effects, its unique characteristics including decreased density result in an improvement in gas flow through narrowed airways. While the majority of experience pertains to its use during spontaneous ventilation in patients with upper airway obstruction, its unique properties suggest its utility during mechanical ventilation as a means of improving gas flow to areas with low compliance and high resistance, improving ventilation-perfusion matching, and allowing for the delivery of a larger tidal breath with a lower peak inspiratory pressure. The authors present three cases in which helium was delivered during mechanical ventilation, review the literature concerning the use of helium during mechanical ventilation in children, and discuss the technology needed for the safe and effective delivery of helium through conventional ventilators.
Pathology of The Breast

1. Normal Development and Anomalies. 2. General Considerations. 3. Genetic Abberations. 4. Multidisciplinary Approach to Diagnosis of Mammary Lesions. 5. Breast Cytopathology. 6. Specimen Processing. 7. Benign Lesions. 8. Intraductal Hyperplasia, Ordinary and Atypical. 9. Papillary Lesions. 10. Intraductal Carcinoma. 11. Lobular Neoplasia (Atypical Hyperplasia and Lobular Carcinoma in Situ). 12. Infiltrating Carcinomas, Common and Familiar Special Types. 13. Infiltrating Carcinoma, Special Types. 14. Comparison of Breast Carcinoma in Young and Elderly Women. 15. Biphasic Tumors. 16. Vascular Lesions. 17. Mesenchymal Lesions. 18. Diseases of the Nipple. 19. Miscellaneous Lesions. 20. Male Breast Lesions.
Weakly Semi-Supervised Deep Learning for Multi-Label Image Annotation

In this paper, we study leveraging both weakly labeled images and unlabeled images for multi-label image annotation. Motivated by the recent advance in deep learning, we propose an approach called weakly semi-supervised deep learning for multi-label image annotation (WeSed). In WeSed, a novel weakly weighted pairwise ranking loss is effectively utilized to handle weakly labeled images, while a triplet similarity loss is employed to harness unlabeled images. WeSed enables us to train deep convolutional neural network (CNN) with images from social networks where images are either only weakly labeled with several labels or unlabeled. We also design an efficient algorithm to sample high-quality image triplets from large image datasets to fine-tune the CNN. WeSed is evaluated on benchmark datasets for multi-label annotation. The experiments demonstrate the effectiveness of our proposed approach and show that the leverage of the weakly labeled images and unlabeled images leads to a significantly better performance.
Personalized Travel Sequence Recommendation on Multi Source Big Social Media

Big Data Increasingly Benefit Both Research And Industrial Area Such As Health Care, Finance service and commercial recommendation.This paper presents a personalized travel sequence recommendation from both travelogues and community-contributed photos and the heterogeneous metadata (e.g., tags, geo-location, and date taken) associated with these photos. Unlike most existing travel recommendation approaches, user approach is not only personalized to user’s travel interest but also able to recommend a travel sequence rather than individual Points of Interest (POIs). Topical package space including representative tags, the distributions of cost, visiting time and visiting season of each topic, is mined to bridge the vocabulary gap between user travel preference and travel routes. User take advantage of the complementary of two kinds of social media: travelogue and communitycontributed photos. We map both user’s and routes’ textual descriptions to the topical package space to get user topical package model and route topical package model (i.e., topical interest, cost, time and season). To recommend personalized POI sequence, first, famous routes are ranked according to the similarity between user package and route package. Then top ranked routes are further optimized by social similar users’ travel records. Representative images with viewpoint and seasonal diversity of POIs are shown to offer a more comprehensive impression. We evaluate our recommendation system on a collection of 7 million Flickr images uploaded by 7,387 users and 24,008 travelogues covering 864 travel POIs in 9 famous cities, and show its effectiveness. user also contribute a new dataset with more than 200K photos with heterogeneous metadata in 9 famous cities.