Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding WeChat Users’ Behavior of Sharing Social Crisis Information

ABSTRACT Owing to the rapid development of social media technologies and the prevalence of mobile devices, social media have introduced to modern society a brand new communication platform, where various types of information are created and shared. Here, we explored the motivations of people sharing social crisis information through WeChat, one of the world’s most popular social media platforms, and identified the motivating factors that influence their sharing behavior. We proposed and examined a research model based on the theory of planned behavior, the theory of use and gratification, and the theory of prosocial behavior to better analyze and understand the WeChat users’ social crisis information sharing behavior. To test this model, we developed a study using a sample of 365 surveys collected from WeChat users. We found that in general, they share social crisis information not for entertainment, but for obtaining information from others’ comments, socializing with others, or simply completing their social media routines. Moreover, we found that habit, status seeking and reciprocity positively affect WeChat users’ attitudes towards the behavior. We also found status seeking, socializing, and reciprocity positively affect their perceived subjective norm about the behavior. In addition, it was found that consistent with the framework of the planned behavior theory, the attitude, subjective norm, and perceived behavioral control affect WeChat users’ behavioral intention significantly within the context of social crisis information sharing. This article presents a new conceptual model to explain WeChat users’ sharing behavior with regards to social crisis information, and illustrates multiple variables that affect their motivations. Our findings contribute overall to a better understanding of WeChat users’ social crisis information sharing behavior and provide important practical implications for the scientific and reasonable management of crisis information dissemination.
High-speed segmentation-driven high-resolution matching

This paper proposes a segmentation-based approach for matching of high-resolution stereo images in real time. The approach employs direct region matching in a raster scan fashion influenced by scanline approaches, but with pixel decoupling. To enable real-time performance it is implemented as a heterogeneous system of an FPGA and a sequential processor. Additionally, the approach is designed for low resource usage in order to qualify as part of unified image processing in an embedded system.
Development of Ramie Fiber Reinforced Biodegradable Resin Matrix Composites by Press Forming and Effect of Chemical Treatments

It is expected that environment-friendly biodegradable composites reinforced by high strength natural fibers are widely used for industrial applications, preferably in place of glass fiber reinforced plastics (GFRP). The purpose of this study is thus to publish useful information on fabrication process, optimum forming pressure and mechanical properties of ramie fiber reinforced biodegradable resin matrix composites. It was found out that (1) a pre-forming method is effective in arranging ramie strings unidirectionally and exactly, and therefore can increase dramatically the composite strength, and (2) an optimum forming pressure for increasing appropriately tensile strength and Young's modulus is in the range of 13.1 to 19.6MPa. We further investigated the effect of chemical treatments on mechanical properties of treated ramie fiber reinforced biodegradable resin composites. The results showed that alkali-treated fiber composite was unchanged in strength as compared to untreated fiber composite, while the treated fiber composite was well improved in Young's modulus, 30% larger than that of untreated fiber composite.
A Distance-Based Parameter Reduction Algorithm of Fuzzy Soft Sets

Kong et al. introduced the concept of normal parameter reduction in fuzzy soft sets. However, due to entries of fuzzy soft sets belonging to the unit interval [0, 1], it is nearly impossible to obtain the normal parameter reduction of fuzzy soft sets in the real applications. At the same time, this method involves a great amount of computation. In order to solve these problems, in this paper, we propose a distance-based parameter reduction of fuzzy soft set, which has much higher applicability and involves much less computation compared with the method of normal parameter reduction of fuzzy soft sets. Two case studies and twenty synthetic generated datasets show our contributions.
Multi-task Preference learning with Gaussian Processes

We present an EM-algorithm for the problem of learning user preferences with Gaussian processes in the context of multi-task learning. We validate our approach on an audiological data set and show that predictive results for sound quality perception of normal hearing and hearingimpaired subjects, in the context of pairwise comparison experiments, can be improved using the hierarchical model.
Insomnia and Multimorbidity in the Community Elderly in China.

STUDY OBJECTIVES To examine the comorbidity between insomnia and medical conditions. METHODS This cross-sectional study was conducted in community adults, aged ≥ 60 years, who resided in one of four major cities in northern China. Sociodemographic and clinical data were collected simultaneously. A total of 3,176 elderly adults (1,292 male, mean ± standard deviation age 70.2 ± 6.8 years; 1,884 female, 68.8 ± 6.7 years) were interviewed. RESULTS The prevalence of specific medical conditions in both people with insomnia and people without insomnia was detected. Significantly higher proportions of arrhythmia, hypertension, cerebral hemorrhage, migraine, and hyperlipidemia were observed in people with insomnia than in people without insomnia. Moreover, a significantly higher proportion of insomnia was seen in elderly people with arrhythmia and migraine. We also found that elderly people with insomnia who took sleep medications reported a higher prevalence of coexisting arrhythmia, hypertension, and migraine, even after adjusting for age, sex, and depression. CONCLUSIONS Our results indicate associations between insomnia and medical conditions in the community elderly in China. People who complained of insomnia had poorer physical health conditions. Sleep medication may not be a covariate that influences the comorbidity of some specific physical conditions. CLINICAL TRIAL REGISTRATION Trial name: The study of diagnosis and treatment of senile dementia in Hebei Province; URL: http://www.chictr. org.cn/showproj.aspx? proj=8194; Registration number: ChiCTR-RRC-11001345.
The Effect Factor of Wear Particles Deposition Based on Grey Relative Analysis

A lot of ferrographic experiments had been made by means of rotary ferrograph and ferroscope.The oil sample of the experiments had been collected from slip diesel engines.The data of the experiments had been analyzed based on grey relative analysis and relative order.The result of grey relative analysis shows that the effect of the dilution ratio of the oil sample is the most key factor,in which the volume and the dilution ratio of the oil sample,the effect of the rotation speed of the magnetic disc on the deposition state of wear particles are investigated. This conclusion accords with the orthogonal experiment based on the same oil sample.
An open trial of equine‐assisted therapy for children exposed to problematic parental substance use

Children exposed to problematic parental substance use (PPSU) often face a number of deleterious developmental outcomes, yet these children are less likely to become known to child protection and welfare services. Although there is a growing evidence base for equine-assisted therapy (EAT) as an effective treatment modality for atypically developing children and adolescents, scant research has explored the benefit of EAT for children exposed to PPSU. The current study is the first to explore the benefit of EAT for children exposed to PPSU in Victoria, Australia. Five 12-week EAT programmes were delivered from 2012 to 2015 with a total of 41 children (mean age of 10.26 years) taking part. Children's parents (n = 41) and schoolteachers (n = 31) completed the Strengths and Difficulties Questionnaire pre- and post-intervention. Parents reported that children's total difficult behaviour and emotional problems decreased following the 12-week EAT programme. In addition, parents and teachers observed a significant decrease in children's hyperactivity. The findings obtained highlight the benefit of EAT for children exposed to PPSU and thus, extends the existing evidence base for this treatment modality.
Information needed for consensus on policies and programs to improve iron nutrition.

Despite over 50 years of research nutritional iron deficiency remains the most prevalent micronutrient deficiency disorder worldwide. As stated in a recent UNICEF/UNU/WHO publication: "Iron deficiency affects a significant part and often a majority of the population in nearly every country in the world. Programs for the prevention of iron deficiency particularly iron supplementation for pregnant women are under way in 90 of 112 countries as reported to WHO in 1992. Most of these programs however are neither systematically implemented nor well monitored or evaluated. " Nevertheless significant advances in addressing iron deficiency anemia have been made in the last 10-15 years by applying established scientific observations to the design implementation and evaluation of interventions. At the same time the increased emphasis on outcome analysis has uncovered new problems that require more rigorous scientific evaluation the most urgent being the possible risks of delivering iron in regions where malaria is endemic. There is also a pressing need to find safe and effective mechanisms for providing iron to infants and young children. This paper seeks to identify the key gaps in information that must be filled to move towards consensus on policies and programs to improve iron nutrition. (excerpt)
Effects of ageing and streptozotocin‐induced diabetes on connexin43 and P2 purinoceptor expression in the rat corpora cavernosa and urinary bladder

To investigate whether ageing and diabetes alter the expression of the gap junction protein connexin43 (Cx43) and of particular purinoceptor (P2R) subtypes in the corpus cavernosum and urinary bladder, and determine whether changes in expression of these proteins correlate with development of erectile and bladder dysfunction in diabetic and ageing rats.
Acquired von Willebrand syndrome type 2 A in a JAK 2-positive essential thrombocythaemia-affected member of a large von Willebrand disease family with a novel autosomal dominant A 1716 P mutation

Silvia Giannini1; Maria Solimando2; Tiziana Fierro1; Luciano Baronciani2; Augusto B. Federici2,3; Paolo Gresele1 1Division of Internal and Cardiovascular Medicine, Department of Internal Medicine, University of Perugia, Perugia, Italy; 2Angelo Bianchi Bonomi Hemophilia and Thrombosis Center, Department of Internal Medicine and Medical Specialties, IRCCS Maggiore Hospital and University of Milan, Milan, Italy; 3Division of Hematology and Transfusion Medicine, L. Sacco University Hospital, Milan, Italy
Contraceptive prevalence and usage of different contraceptive methods and its correlates in an urban slum area of Western Maharashtra – A cross sectional study.

Background: Acceptance of family planning methods are influenced by a variety of interrelated factors such as age, education, number of living son, type of family, etc. Objectives: 1. To find out contraceptive prevalence and usage of different contraceptive methods among ever married women aged 15 to 49 years in an urban slum area. 2. To study the different variables affecting the contraceptive prevalence among married women aged 15 to 49 years. Design: A community based cross sectional study. Setting: 400 married women of age group 15 to 49 residing in the urban slum area, catered by U.H. C. of the Department of Community Medicine, Dr. V.M. G.M. C Solapur, Maharashtra. Methods: By using systematic random sampling method, every 7th household was selected and data was collected by house to house visits and interview of study population with a pre-designed pre-tested proforma. Chi- square test used to analyze data. Results: Contraceptive prevalence was 70.25%. Acceptors of terminal method of contraception were more (80.07%) than spacing methods (19.93%) amongst contraceptive users. Contraceptive use was found to be significantly associated with age, education, number of living son, type of family and number of living children of women. Conclusion: Counselling of women should be done especially in urban slum areas by health worker for appropriate use of contraceptive like spacing methods. Male child syndrome should be removed from peoples by I.E.C activity.
DNA methylation is a common molecular alteration in colorectal cancer cells and culture method has no influence on DNA methylation

The present study aimed to explore whether culture method had an influence on DNA methylation in colorectal cancer (CRC). In the present study, CRC cells were cultured in two-dimensional (2D), three-dimensional (3D) and mouse orthotopic transplantation (Tis) cultures. Principal component analysis (PCA) was used for global visualization of the three samples. A Venn diagram was applied for intersection and union analysis for different comparisons. The methylation condition of 5′-C-phosphate-G-3′ (CpG) location was determined using unsupervised clustering analysis. Scatter plots and histograms of the mean β values between 3D vs. 2D, 3D vs. Tis and Tis vs. 2D were constructed. In order to explore the biological function of the genes, gene ontology and Kyoto Encyclopedia of Gene and Genomes (KEGG) pathway analyses were utilized. To explore the influence of culture condition on genes, quantitative methylation specific polymerase chain reaction (QMSP) was performed. The three samples connected with each other closely, as demonstrated by PCA. Venn diagram analysis indicated that some differential methylation positions were commonly shared in the three groups of samples and 16 CpG positions appeared hypermethylated in the three samples. The methylation patterns between the 3D and 2D cultures were more similar than those of 3D and Tis, and Tis and 2D. Results of gene ontology demonstrated that differentially expressed genes were involved in molecular function, cellular components and biological function. KEGG analysis indicated that genes were enriched in 13 pathways, of which four pathways were the most evident. These pathways were pathways in cancer, mitogen-activated protein kinase signaling, axon guidance and insulin signaling. Furthermore, QMSP demonstrated that methylation of mutL homolog, phosphatase and tensin homolog, runt-related transcription factor, Ras association family member, cadherin-1, O-6-methylguanine-DNA-methyltransferase and P16 genes had no obvious difference in 2D, 3D and Tis culture conditions. In conclusion, the culture method had no influence on DNA methylation in CRC cells.
Controller Reduction: Concepts and Approaches

This paper considers the problem of passing from a linear time-invariant high order controller designed for a linear time-invariant plant (of presumably high order) to a low order approximation of the controller. The approximation problem is often best posed as a frequency weighted L¿ approximation problem. Many different controller representations are possible, giving different performance of the various reduction algorithms.
Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking

Large databases are often organized by hand-labeled metadata—or criteria—which are expensive to collect. We can use unsupervised learning to model database variation, but these models are often high dimensional, complex to parameterize, or require expert knowledge. We learn low-dimensional continuous criteria via interactive ranking, so that the novice user need only describe the relative ordering of examples. This is formed as semi-supervised label propagation in which we maximize the information gained from a limited number of examples. Further, we actively suggest data points to the user to rank in a more informative way than existing work. Our efficient approach allows users to interactively organize thousands of data points along 1D and 2D continuous sliders. We experiment with databases of imagery and geometry to demonstrate that our tool is useful for quickly assessing and organizing the content of large databases.
Measurement for polarization mode dispersion of LiNbO3 integrated waveguide modulator used white light interferometry

We present a method to measure the polarization mode dispersion (PMD) of the LiNbO3 multifunctional integrated waveguide modulator (MFIWM) which is consist of a Y-waveguide, two extended polarization maintaining (PM) fibers, lead-in PM pigtail and lead-out PM pigtail. This method is based on an all-fiber time-domain scanning white light interferometer and utilizes fast Fourier transform (FFT) technology to obtain interferometric phase. The PMD of each part of MFIWM was measured and distinguished accurately. It’s demonstrated that, the PMD of Y-waveguide is 13.5 ps/nm/km@1555nm which is approximately 40~160 times of the PMD of PM fibers in the MFIWM under test.
Load Aware Automatic Channel Switching for Software-Defined Enterprise WLANs

In the last decade, the 2.4 GHz band of IEEE 802.11 WLANs has become heavily congested due to the explosive increase in demand of Wi-Fi connectivity. With the current deployment of enterprise WLANs, channel switching mechanism continues to exhibit inefficiencies because it cannot adapt to real-time channel condition and the inability to support seamless channel switching. Software Defined Networking (SDN) as an emerging architecture is promising to introduce flexibility and programmability for wireless network management. Leveraging SDN to existing enterprise WLANs, channel switching method can be improved significantly. This paper presents a software-defined enterprise WLAN framework with a load aware automatic channel switching solution, which utilizes AP load and channel interference factor (CIF) to provide seamless channel switching. Two automatic channel switching algorithms named Single Switch (SS) and Double Switch (DS) are proposed to improve the overall user experience and the experience of users with highest traffic load respectively. Experiment results demonstrate that our solution can efficiently improve user experience in terms of jitter, transmission delay and network throughout when compared to the conventional channel switching mechanism.
Synthesis and room-temperature NO2 gas sensing properties of a WO3 nanowires/porous silicon hybrid structure

We report on the fabrication and performance of a room-temperature NO2gas sensor based on a WO3nanowires/porous silicon hybrid structure. The W18O49nanowires are synthesized directly from a sputtered tungsten film on a porous silicon(PS) layer under heating in an argon atmosphere. After a carefully controlled annealing treatment, WO3nanowires are obtained on the PS layer without losing the morphology. The morphology, phase structure, and crystallinity of the nanowires are investigated by using field emission scanning electron microscopy(FESEM), X-ray diffractometer(XRD), and high-resolution transmission electron microscopy(HRTEM). Comparative gas sensing results indicate that the sensor based on the WO3nanowires exhibits a much higher sensitivity than that based on the PS and pure WO3nanowires in detecting NO2gas at room temperature. The mechanism of the WO3nanowires/PS hybrid structure in the NO2sensing is explained in detail.
Too Much of a Good Thing: Investigating the Association between Actual Smartphone Use and Individual Well-Being

ABSTRACT Research suggests that people around the world spend anywhere from an hour to as much as ten hours daily on their smartphones. However, the vast majority of this research has used self-reported data, which is widely considered unreliable. The present research is among the first to capture actual smartphone use and to examine its relationship with individual and relational well-being. Results reveal that, although smartphone use is generally negatively associated with well-being, this is not always so. Deeper analyses show that certain categories of apps are positively associated with well-being, thus revealing a more nuanced relationship between smartphone use and individual well-being. Research which suggests a negative association between smartphone use and well-being may represent an oversimplified perspective of a complex relationship.
A Study on Deep Belief Net for Branch Prediction

Since 2006, there have been significant advances in deep learning algorithms, and they have shown superior performance in audio and image processing. In this paper, we explore the feasibility of applying deep learning algorithms to branch prediction. We treat branch prediction as a classification problem and compare the effectiveness of deep learning with existing branch predictors. We make several interesting observations from our study. The first is that for branch prediction, the deep learning algorithm based on deep belief networks outperforms the prior work, but only outperforms state-of-the-art branch predictors, such as the TAgged GEometric length (TAGE) predictors, for several benchmarks. Compared with the much simpler perceptron branch classifier, the deep learning classifier reduces the average misprediction rate by 3%–4% for the benchmarks in this paper. Second, we analyze the impact of the length of hashed program counter, local history register, global history register, and branch global addresses of deep learning classifiers on the misprediction rate. Our results show that an adaptive length of the history information is a better choice than the longest history. Third, compared with TAGE, the hardware budget of our model is less than 1% of the TAGE predictor.
On Frequency Weighted Balanced Truncation: Hankel Singular Values and Error Bounds

The concept of frequency weighted balancing proposed by Enns is a generalisation of internally balanced model truncation which is simple to apply and additionally attractive because of the existence of an upper H ∞ error bound that is a function of the neglected Hankel singular values. However, a generalisation of this error bound based on the frequency weighted Hankel singular values has not been reported. In this paper, it is shown that there does not exist a frequency weighted upper error bound that depends only on the neglected frequency weighted Hankel singular values. Based on this result, it is shown that truncation of the states corresponding to the lowest frequency weighted Hankel singular values does not always yield the lowest approximation error. It is explained that this is due to cross-terms that appear in the frequency weighted error bound and make the discussion on stability of the reduced order model more complex. These cross-terms are inherent in the frequency weighted balancing technique proposed by Enns.