Taiwanese parents’ perspectives on young children’s use of information communication technology

IntroductionHow parents think and feel about their children’s use of technology can influence how their kids behave online. The family’s socioeconomic status (SES) may also affect this influence. In light of this, this research emphasizes the need for more investigation into parental attitudes and the role of SES in shaping how children consume media.MethodsThis study surveyed 629 Taiwanese parents to explore their attitudes toward their young children’s use of information communication technology (ICT), usage patterns, and the interplay with socioeconomic status.ResultsThe findings revealed a significant disconnect: although approximately 50% of parents considered above six years old to be a suitable age for children to start ICT, over 80% of children had already engaged with ICT before that age, indicating a large disparity between parental expectations and actual initiation. Furthermore, parents highlighted “learning interest” and “various content” as the most positive impacts of children’s ICT use, while “addiction and overreliance” emerged as their primary concern. Notably, parents, as a whole, tended to perceive their child’s ICT use more negative than positively, with fathers displaying greater acceptance of negative viewpoints than mothers. Parental attitudes toward children’s ICT use were categorized into five clusters, ranging from balanced and optimistic views to value emphasis, conservatism, and negative doubts. This classification underscores the intricate and multifaceted nature of parental perspectives, encompassing both positive and negative outlooks on children’s ICT utilization.DiscussionThe findings underscore the nuanced character of parents’ attitudes toward technology, shaped by the intricacies and challenges posed by the digital era. These insights emphasize that parental attitudes go beyond a simplistic positive-negative divide, reflecting a comprehensive response to the opportunities and complexities inherent in the digital age

HPV infection and p53 inactivation in pterygium

PurposeOur recent report indicated that tumor suppressor gene (p53) mutations and protein aberrant expression were detected in pterygium. Inactivation of p53 by Human papillomavirus (HPV) 16/18 E6 plays a crucial role in cervical tumorigenesis. In this study, we further speculate that p53 inactivation may be linked with HPV infection in pterygium pathogenesis. To investigate the involvement of HPV 16/18 E6 in p53 inactivation in pterygium, the association between HPV 16 or HPV 18 infection, the HPV E6 oncoprotein, and p53 protein expression was analyzed in this study.MethodsHPV 16/18 infection was detected by nested-polymerase chain reaction (nested-PCR), the p53 mutation was detected by direct sequencing, and the p53 and the HPV 16/18 E6 proteins were studied using immunohistochemistry on 129 pterygial specimens and 20 normal conjunctivas.ResultsThe HPV 16/18 was detected in 24% of the pterygium tissues (31 of 129) but not in the normal conjunctiva, and the HPV16/18 E6 oncoprotein was detected in 48.3% of HPV 16/18 DNA-positive pterygium tissues (15 of 31). In addition, p53 protein negative expression in pterygium was correlated with HPV16/18 E6 oncoprotein expression but not with a p53 mutation.ConclusionsHPV 16/18 E6 contributes to HPV-mediated pterygium pathogenesis as it is partly involved in p53 inactivation and is expressed in HPV DNA-positive pterygium

The Observation for Ocular Surface Diseases in Respiratory Care Center in One Regional Teaching Hospital in Southern Taiwan

Abstract: Purpose: To discover the incidence of ocular surface diseases in the RCC in one region hospital in southern Taiwan. Methods: A prospective study was performed from January 2014 to May 2014. We recorded the causes of admission, eyelid position, abnormal findings of the conjunctiva and cornea. Besides, we also collected data about age, sex, sedation score, the intubation or not, the ventilator setting, date of admission, endotracheal tube or tracheostomy used et al. Results: Total 30 patients were examined in RCC. The mean age of the patients was 60.5 years (range 32-82). 18 patients were male and 12 were female. 24 patients had been sedated or non-sedated with various ventilators. 6 patients were in T-piece trial. 22 patients had tube intubation and 8 patients had received tracheostomy. Mean stay time was 20.5 days. The percent of ocular surface diseases were 33.3% (10/30), and lagophthalmos was observed about 33.3% due to sedation. 23.3% (7/30) patients had conjunctival problems and 26.6% (8/30) had keratopathy. We found that 80% (8/10) patients with lagophthalmos had eye disorders. The endotracheal tube intubation group had a relatively higher incidence of ocular surface diseases (7/22；32%). If the sedation score lower than 8, 26 % patients may have eye diseases. Conclusion: The incidence of ocular surface diseases is closely related to heavy sedation or muscle relaxants. The assessment of eyelid position in relation to the ocular surface disease is the most important observation required in RCC. How to set up the routine protocol for eye care for the staff in ICU becomes valuable and serious today. We must keep in mind that prevention is always better than cure

Fibers and Conductive Films Using Silver Nanoparticles and Nanowires by Near-Field Electrospinning Process

The silver nanowires (AgNWs) and silver nanoparticles (AgNPs) were synthesized. With near-field electrospinning (NFES) process, fibers and thin films with AgNPs and AgNWs were fabricated. In the NFES process, 10 k voltage was applied and the AgNPs and AgNWs fibers can be directly orderly collected without breaking and bending. Then, the characteristics of the fibers were analyzed by four-point probe and EDS. The conductive film was analyzed. When the thickness of films with AgNWs and AgNPs was 1.6 µm, the sheet resistance of films was 0.032 Ω/sq which was superior to that of the commercial ITO. The transmissivity of films was analyzed. The transmissivity was inversely proportional to sheet resistance of the films. In the future, the fibers and films can be used as transparent conductive electrodes

Tellurium substitution effect on superconductivity of the alpha-phase Iron Selenide

We have carried out a systematic study of the PbO-type compound FeSe_{1-x}Te_x (x = 0~1), where Te substitution effect on superconductivity is investigated. It is found that superconducting transition temperature reaches a maximum of Tc=15.2K at about 50% Te substitution. The pressure-enhanced Tc of FeSe0.5Te0.5 is more than 10 times larger than that of FeSe. Interestingly, FeTe is no longer superconducting. A low temperature structural distortion changes FeTe from triclinic symmetry to orthorhombic symmetry. We believe that this structural change breaks the magnetic symmetry and suppresses superconductivity in FeTe.Comment: Some typing errors are corrected; we take out one figures, now the paper has 14 pages, 5 figure

Scalable and accurate deep learning for electronic health records

Predictive modeling with electronic health record (EHR) data is anticipated to drive personalized medicine and improve healthcare quality. Constructing predictive statistical models typically requires extraction of curated predictor variables from normalized EHR data, a labor-intensive process that discards the vast majority of information in each patient's record. We propose a representation of patients' entire, raw EHR records based on the Fast Healthcare Interoperability Resources (FHIR) format. We demonstrate that deep learning methods using this representation are capable of accurately predicting multiple medical events from multiple centers without site-specific data harmonization. We validated our approach using de-identified EHR data from two U.S. academic medical centers with 216,221 adult patients hospitalized for at least 24 hours. In the sequential format we propose, this volume of EHR data unrolled into a total of 46,864,534,945 data points, including clinical notes. Deep learning models achieved high accuracy for tasks such as predicting in-hospital mortality (AUROC across sites 0.93-0.94), 30-day unplanned readmission (AUROC 0.75-0.76), prolonged length of stay (AUROC 0.85-0.86), and all of a patient's final discharge diagnoses (frequency-weighted AUROC 0.90). These models outperformed state-of-the-art traditional predictive models in all cases. We also present a case-study of a neural-network attribution system, which illustrates how clinicians can gain some transparency into the predictions. We believe that this approach can be used to create accurate and scalable predictions for a variety of clinical scenarios, complete with explanations that directly highlight evidence in the patient's chart.Comment: Published version from https://www.nature.com/articles/s41746-018-0029-

US Cosmic Visions: New Ideas in Dark Matter 2017: Community Report

This white paper summarizes the workshop "U.S. Cosmic Visions: New Ideas in Dark Matter" held at University of Maryland on March 23-25, 2017.Comment: 102 pages + reference