Miracle-dz/UniFAR-FTUs huggingface dataset:
Gamification of Wearable Data Collection: A Tool for both Friend and Foe

Games are designed to build on certain inherently reward centered aspects of our psychology. This encourages the user to keep playing and engaging in the entertainment for just a bit longer. In this paper we explore the way in which gamification can be used to benefit researchers aiming to collect large amounts of data from sometimes less than enthusiastically motivated participants. We also investigate the risks associated with such mechanisms for data collection and how malicious entities could use these same methods to trick users into exposing private information. Across several experiments used to measure the cross-applicable nature of the data we collected, we demonstrate that a gamified version of a data collection tool could be used to predict the pattern used to unlock a phone.
A Decision-making Method for Weapon Demonstration Based on Fuzzy Theory and Bayesian Rough Sets

A decision-making method based on fuzzy theory and Bayesian Rough sets is advanced according to the characteristics of weapon argumentation decision-making. First of all, the decision-making model is established, the comprehensive operational efficiency, cost, cycle and risk are chosen as decision-making factors, and also the evidence theory and the cloud model theory are used to optimize the comprehensive operational efficiency factor. Next, there is the redundancy problem in decision-making factors, so, Bayesian Rough sets is introduced to solve this problem. Simultaneously, there is the relation problem in decision-making factors, therefore, fuzzy measure theory is applied to obtain the weight of each decision-making factor. What's more, Choquet fuzzy integral was used to synthesize all the decision-making factors, then the ultima decision-making result is achieved. Finally, the simulation is carried out, and simulation results show that the method is reasonable and effective.
Term Deposit Subscription Prediction Using Spark MLlib and ML Packages

In recent years, more and more data are being collected from a variety of sources for scientific researches. At the same time, data mining (DM) and machine learning (ML) are being utilized to analyze special features from the data. Meanwhile in business, this combination is able to produce comprehensive overviews to support human decision-making by showing profitable recommendations. In marketing, it is essential for organizations to know when they can provide their services by analyzing customer's data to make crucial strategies for their businesses, especially in banks. In this paper, with the problem of bank marketing, we will take a look at what types of experimental data are typically used, do a preliminary analysis on them, and generate a Term Deposit Subscription prediction model by using PySpark and its machine learning frameworks. Using a database with thousands of data points gathered in a marketing campaign, the accuracy rates of detection and classification are about 71% and 86% respectively.
Efficiency and Its Influencing Factors Analysis of E-commerce based on DEA and Tobit Model

The paper uses DEA model to evaluate the technical efficiency, scale efficiency and pure technical efficiency of 60 e-commerce enterprises listed in China during the period of 2013 to 2016. Furthermore, the influencing factors of efficiency of e-commerce are analyzed by using panel data based on Tobit regression model. The results of DEA model show that the e-commerce efficiency is lower and the resource allocation of e-commerce is not optimal. The trend of efficiency value is shaped "S", and there are two obvious inflection points in trend lines. The results of Tobit regression model show that the firm size, asset turnover, shareholding ratio of maximum shareholder, market concentration and gross merchandise volume have a statistically positive relation with e-commerce efficiency.
Human emotion classification based on respiration signal

Interactions between people commonly expressed and possessed emotions due to the human beings. Respiration is one of the parameters that reflects an emotion. The reasonable hypothesis, that various respiratory patterns are associated with various emotions, has enhanced the evidence for links between respiration and emotion. For instance, breathing turns out to be, deeper and slower at leisure or relief, shallower and faster at scare or terror, and deeper and faster at anger or excitement. In this study, the breathing signals, which include the features; airflow rate and volume, are acquired from the BIOPAC instrument. The extracted features, which include Max/Min and Mean/Variance of the main features, are analyzed using Fast Fourier Transform (FFT) and classified using Orang open source program, respectively. The result is very successful and agreed by 80%, which in turn, extremely accepted by the researchers.
Overexpressing miR-335 inhibits DU145 cell proliferation by targeting early growth response 3 in prostate cancer

MicroRNA-335 (miR-335) was reported to suppress cell proliferation in prostate cancer (PC), a common malignancy in males. The expression of early growth response 3 (EGR3) was determined to be elevated in human PC tissues; however, the possible effects and underlying mechanism of miR-335 on PC remains unknown. In the present study, miR-335 mimics and miR-335 inhibitors were respectively transfected into DU145 cells. Stable silencing of EGR3 was observed in DU145 cells following transfection with small interfering RNA. We also used Cell Counting Kit-8 and in vitro angiogenesis assays to determine the viability and revascularization potential of DU145 cells. The expression levels of EGR and caspase-3 activity were analyzed by immunohistochemistry and immunocytochemistry, respectively. We predicted the target of miR-335 by bioinformatics analysis and a dual-luciferase reporter gene assay. Western blot and quantitative real-time polymerase chain reaction analyses were performed to determine the protein and mRNA expression of molecules. miR-335 expression was downregulated in PC tissues and cell lines. Overexpression of miR-335 significantly reduced the viability and the formation of regenerative tubes of DU145 cells, and inhibited the expression of inflammatory factors. EGR3 was proposed as a possible target of miR-335, and was negatively regulated by miR-335. Silencing EGR3 suppressed the viability and angiogenesis of DU145 cells, and reduced the activity of caspase-3 and inflammatory factor expression. miR-335 inhibition along with EGR3 silencing EGR3 inhibited the cell proliferation. Furthermore, miR-335 inhibited the formation of a PC solid tumor xenograft in vivo. Thus, miR-335 may exert an antitumor effect on DU145 cells by regulating the expression of EGR3. The findings of the present study may provide insight into a novel therapeutic strategy for the treatment of prostatic carcinoma.
Sentiment Analysis of Thai Financial News

Due to the big data and FinTech influencers, the novel SentiFine framework was developed to facilitate the financial analysts or specialists who need to understand the financial and economic circumstances from the daily news. The objective of this framework is to analyze the sentiment of Thai financial daily news by integrating the fine-grained sentiment analysis technique with the deep neural network. Based on the proposed SentiFine framework, the prototype of the SentiFine web-based system was developed. With the main feature "View Daily News", the users can view the daily Thai financial news detail, the date and time of the news, the source of news, and its sentiment which is categorized into three tones (positive, neutral, and negative).
Tertiary Eye Movement Classification by a Hybrid Algorithm

The proper classification of major eye movements, saccades, fixations, and smooth pursuits, remains essential to utilizing eye-tracking data. There is difficulty in separating out smooth pursuits from the other behavior types, particularly from fixations. To this end, we propose a new offline algorithm, I-VDT-HMM, for tertiary classification of eye movements. The algorithm combines the simplicity of two foundational algorithms, I-VT and I-DT, as has been implemented in I-VDT, with the statistical predictive power of the Viterbi algorithm. We evaluate the fitness across a dataset of eight eye movement records at eight sampling rates gathered from previous research, with a comparison to the current state-of-the-art using the proposed quantitative and qualitative behavioral scores. The proposed algorithm achieves promising results in clean high sampling frequency data and with slight modifications could show similar results with lower quality data. Though, the statistical aspect of the algorithm comes at a cost of classification time.
The effects of graphene and mesenchymal stem cells in cutaneous wound healing and their putative action mechanism

This study provides a review of the therapeutic potential of graphene dressing scaffolds and mesenchymal stem cells (MSCs) and their synergistic effects with respect to cutaneous wound healing. This study also considers their putative action mechanism based on the antibacterial, immunomodulating, angiogenic, matrix remodeling effects of materials belonging to the graphene family and MSCs during the wound healing process. In addition, this study discusses the cytocompatibility of graphene, its uses as a platform for skin substitutes, the properties it possesses with respect to providing protection against microbial invasion as well as strategies aimed at minimizing the chance of the occurrence of sepsis. MSCs are capable of secreting several factors that exert a therapeutic impact on reparative processes and tissue regeneration. In light of experiments conducted to date, graphene combined with MSCs appears to have the potential to enhance both the wound healing process and infection control at the injury site.
A Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction

We present a novel theory of Fermat paths of light between a known visible scene and an unknown object not in the line of sight of a transient camera. These light paths either obey specular reflection or are reflected by the object's boundary, and hence encode the shape of the hidden object. We prove that Fermat paths correspond to discontinuities in the transient measurements. We then derive a novel constraint that relates the spatial derivatives of the path lengths at these discontinuities to the surface normal. Based on this theory, we present an algorithm, called Fermat Flow, to estimate the shape of the non-line-of-sight object. Our method allows, for the first time, accurate shape recovery of complex objects, ranging from diffuse to specular, that are hidden around the corner as well as hidden behind a diffuser. Finally, our approach is agnostic to the particular technology used for transient imaging. As such, we demonstrate mm-scale shape recovery from pico-second scale transients using a SPAD and ultrafast laser, as well as micron-scale reconstruction from femto-second scale transients using interferometry. We believe our work is a significant advance over the state-of-the-art in non-line-of-sight imaging.
P-TEFb Regulates Transcriptional Activation in Non-coding RNA Genes

Many non-coding RNAs (ncRNAs) serve as regulatory molecules in various physiological pathways, including gene expression in mammalian cells. Distinct from protein-coding RNA expression, ncRNA expression is regulated solely by transcription and RNA processing/stability. It is thus important to understand transcriptional regulation in ncRNA genes but is yet to be known completely. Previously, we identified that a subset of mammalian ncRNA genes is transcriptionally regulated by RNA polymerase II (Pol II) promoter-proximal pausing and in a tissue-specific manner. In this study, human ncRNA genes that are expressed in the early G1 phase, termed immediate early ncRNA genes, were monitored to assess the function of positive transcription elongation factor b (P-TEFb), a master Pol II pausing regulator for protein-coding genes, in ncRNA transcription. Our findings indicate that the expression of many ncRNA genes is induced in the G0–G1 transition and regulated by P-TEFb. Interestingly, a biphasic characteristic of P-TEFb-dependent transcription of serum responsive ncRNA genes was observed: Pol II carboxyl-terminal domain phosphorylated at serine 2 (S2) was largely increased in the transcription start site (TSS, -300 to +300) whereas overall, it was decreased in the gene body (GB, > +350) upon chemical inhibition of P-TEFb. In addition, the three representative, immediate early ncRNAs, whose expression is dependent on P-TEFb, metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), nuclear enriched abundant transcript 1 (NEAT1), and X-inactive specific transcript (XIST), were further analyzed for determining P-TEFb association. Taken together, our data suggest that transcriptional activation of many human ncRNAs utilizes the pausing and releasing of Pol II, and that the regulatory mechanism of transcriptional elongation in these genes requires the function of P-TEFb. Furthermore, we propose that ncRNA and mRNA transcription are regulated by similar mechanisms while P-TEFb inhibition unexpectedly increases S2 Pol II phosphorylation in the TSSs in many ncRNA genes. One Sentence Summary: P-TEFb regulates Pol II phosphorylation for transcriptional activation in many stimulus-inducible ncRNA genes.
Evaluating Mindful With Your Baby/Toddler: Observational Changes in Maternal Sensitivity, Acceptance, Mind-Mindedness, and Dyadic Synchrony

Studies on the effectiveness of mindful parenting interventions predominantly focused on self-report measures of parenting, whereas observational assessments of change are lacking. The present study examined whether the Mindful with your baby/toddler training leads to observed changes in maternal behavior and mother–child interaction quality. Mindful with your baby/toddler is a 8- or 9-week mindful parenting training for clinically referred mothers of young children (aged 0–48 months), who experience parental stress, mother–child interaction problems, and/or whose children experience regulation problems. The study involved a quasi-experimental non-random design including a sample of 50 mothers who were diagnosed with a mood disorder (n = 21, 42%), an anxiety disorder (n = 7, 14%), post-traumatic stress disorder (n = 6, 12%), or other disorder (n = 7, 14%). Mothers completed a parental stress questionnaire and participated in home observations with their babies (n = 36) or toddlers (n = 14) during a waitlist, pretest, and posttest assessment. Maternal sensitivity, acceptance, and mind-mindedness were coded from free-play interactions and dyadic synchrony was coded from face-to-face interactions. Sensitivity and acceptance were coded with the Ainsworth’s maternal sensitivity scales. Mind-mindedness was assessed by calculating frequency and proportions of appropriate and nonattuned mind-related comments. Dyadic synchrony was operationalized by co-occurrences of gazes and positive facial expressions and maternal and child responsiveness in vocal interaction within the dyad. Coders were blind to the measurement moment. From waitlist to pretest, no significant improvements were observed. At posttest, mothers reported less parenting stress, and were observed to show more accepting behavior and make less nonattuned comments than at pretest, and children showed higher levels of responsiveness. The outcomes suggest that the Mindful with your baby/toddler training affects not only maternal stress, but also maternal behavior, particularly (over)reactive parenting behaviors, which resulted in more acceptance, better attunement to child’s mental world, and more “space” for children to respond to their mothers during interactions. Mindful with your baby/toddler may be a suitable intervention for mothers of young children with (a combination of) maternal psychopathology, parental stress, and problems in the parent–child interaction and child regulation problems.
Sulfate-Reducing Bacteria That Produce Exopolymers Thrive in the Calcifying Zone of a Hypersaline Cyanobacterial Mat

Calcifying microbial mats in hypersaline environments are important model systems for the study of the earliest ecosystems on Earth that started to appear more than three billion years ago and have been preserved in the fossil record as laminated lithified structures known as stromatolites. It is believed that sulfate-reducing bacteria play a pivotal role in the lithification process by increasing the saturation index of calcium minerals within the mat. Strain L21-Syr-ABT was isolated from anoxic samples of a several centimeters-thick microbialite-forming cyanobacterial mat of a hypersaline lake on the Kiritimati Atoll (Kiribati, Central Pacific). The novel isolate was assigned to the family Desulfovibrionaceae within the Deltaproteobacteria. Available 16S rRNA-based population surveys obtained from discrete layers of the mat indicate that the occurrence of a species-level clade represented by strain L21-Syr-ABT is restricted to a specific layer of the suboxic zone, which is characterized by the presence of aragonitic spherulites. To elucidate a possible function of this sulfate-reducing bacterium in the mineral formation within the mat a comprehensive phenotypic characterization was combined with the results of a comparative genome analysis. Among the determined traits of strain L21-Syr-ABT, several features were identified that could play a role in the precipitation of calcium carbonate: (i) the potential deacetylation of polysaccharides and consumption of substrates such as lactate and sulfate could mobilize free calcium; (ii) under conditions that favor the utilization of formate and hydrogen, the alkalinity engine within the mat is stimulated, thereby increasing the availability of carbonate; (iii) the production of extracellular polysaccharides could provide nucleation sites for calcium mineralization. In addition, our data suggest the proposal of the novel species and genus Desulfohalovibrio reitneri represented by the type strain L21-Syr-ABT (=DSM 26903T = JCM 18662T).
Analgesic Effect of Zanthoxylum nitidum Extract in Inflammatory Pain Models Through Targeting of ERK and NF-κB Signaling

Background Zanthoxylum nitidum (Roxb.) DC. , also named Liang Mianzhen (LMZ), one kind of Chinese herb characterized with anti-inflammatory and relieving pain potency, which is widely used to treat injuries, rheumatism, arthralgia, stomach pain and so on in China. But its mechanism related to the anti-hyperalgesic has not been reported. The aim of this study was to investigate the analgesic activity of Liang Mianzhen on mice with Complete Freund adjuvant (CFA)-induced chronic inflammatory pain. Meanwhile, the peripheral and central mechanisms of analgesic effect of Liang Mianzhen were further examined via observing the effects of Liang Mianzhen on the signal pathway associated with inflammatory induced hyperalgesia. Methods The inflammatory pain model was established by intraplantar injection of CFA in C57BL/6J mice. After 1 day of CFA injection, the mice were treated with LMZ (100 mg/kg) for seven consecutive days, and the behavioral tests were measured after the daily intragastric administration of LMZ. The morphological changes on inflamed paw sections were determined by hematoxylin eosin (HE) staining. Changes in the mRNA expression levels of tumor necrosis factor (TNF-α), interleukin-6 (IL-6), interleukin-1β (IL-1β) and nuclear factor κB p65 (NF-κBp65) were measured on day seven after CFA injection by using real-time quantitative PCR analysis and enzyme linked immunosorbent assay (ELISA) method, respectively. Moreover, immunohistochemistry and western blotting were used to detect extracellular regulated protein kinases 1/2 (ERK1/2) and NF-κB signal pathway activation. Results The extract of LMZ (100 mg/kg) showed a significant anti-inflammatory and analgesic effect in the mice model. The paw edema volume was significantly reduced after the administration of LMZ compared to CFA group, as well as the paw tissues inflammatory damage was relived and the numbers of neutrophils in mice was reduced significantly. The CFA-induced mechanical threshold and thermal hyperalgesia value were significant improved with LMZ treatment at day three to day seven. We also found the mRNA levels of TNF-α, IL-1β, IL-6 and NF-κBp65 were down-regulate after 7 days from the LMZ treatment compared to CFA group. Meanwhile, LMZ significantly suppressed over-expression of the phosphorylation of ERK1/2 and NF-κBp65 in peripheral and central. Conclusion The present study suggests that the extract of LMZ attenuates CFA-induced inflammatory pain by suppressing the ERK1/2 and NF-κB signaling pathway at both peripheral and central level.
8 GHz, 20mW, fast locking, fractional-N frequency synthesizer with optimized 3rd order, 3/5-bit IIR and 3rd order 3-bit-FIR noise shapers in 90nm CMOS

This paper describes a fully integrated 8 GHz fractional-n synthesizer with an LC-VCO implemented in a 90 nm CMOS process. The synthesizer incorporates a combination of coarse and fine tuning for the VCO, along with a new frequency calibration circuit based on a digital quadri-correlator. This paper derives an integration friendly 3/sup rd/ order 3/5-bit noise shaper from a 6/sup th/ order loop gain. It is jointly optimized with the PLL parameters for low quantization phase noise. This synthesizer has a 1.25 GHz tuning range, 10 kHz resolution, a 20 /spl mu/s settling time, a reference sideband power below the noise floor and a phase noise of -100 dBc/Hz, -117dBc, -145dBc/Hz at 10 kHz, 1 MHz, 20 MHz from the carrier, respectively, and all fractional spurs below -60 dBc. The integrated in-band quantization noise is lower than -64 dBc (well below the other noise sources) and is 10 dB better than a 3rd order MASH implemented in the same process.
After Warnock: The Effects of Perverse Incentives in Policies in England for Students With Special Educational Needs

The 1978 Warnock Report made the case in the United Kingdom for a number of actions that, it was argued, would make the integration and support of young people with Special Educational Needs more effective. In the aftermath of this wave of policy development, a nascent tension between policies designed to achieve excellence and those seeking to achieve inclusive practice emerged. Whilst the devolved parliaments in Scotland and Wales have continued to try to give priority to inclusion in education, in recent years these tensions in England have intensified and there is growing concern about the ways in which schools are managing the contradictions between these two policy streams. There is widespread public and political unrest about the variety of ways in which young people with special educational needs, who may be seen as a threat to a school attainment profiles, are being excised from the system either through formal exclusion or other, more clandestine, means. This paper charts this move from attempts to meet need with provision as outlined by Warnock to the current situation where the motives which drive the formulation of provision are driven by what are ultimately economic objects. We argue that policy changes in England in particular have resulted in perverse incentives for schools to not meet the needs of special educational needs students and which can result in their exclusion from school. These acts of exclusion in England are then compared to educational policies of segregation in Northern Ireland and then exemplified with data. We illustrate the impact of perverse incentives on practices of inclusion and exclusion through an analysis of interview data of key stakeholders gathered in a recent study of practices of school exclusion in England.