Miracle-dz/UniFAR-FTUs huggingface dataset:
DFTerNet : Towards 2-bit Dynamic Fusion Networks for Accurate Human Activity Recognition

Deep Convolutional Neural Networks (DCNNs) are currently popular in human activity recognition (HAR) applications. However, in the face of modern artificial intelligence sensor-based games, many research achievements cannot be practically applied on portable devices (i.e., smart phone, VR/AR). DCNNs are typically resource-intensive and too large to be deployed on portable devices, thus this limits the practical application of complex activity detection. In addition, since portable devices do not possess high-performance Graphic Processing Units (GPUs), there is hardly any improvement in Action Game (ACT) experience. Besides, in order to deal with multi-sensor collaboration, all previous human activity recognition models typically treated the representations from different sensor signal sources equally. However, distinct types of activities should adopt different fusion strategies. In this paper, a novel scheme is proposed. This scheme is used to train 2-bit Convolutional Neural Networks with weights and activations constrained to {-0.5, 0, 0.5}. It takes into account the correlation between different sensor signal sources and the activity types. This model, which we refer to as DFTerNet, aims at producing a more reliable inference and better trade-offs for practical applications. It’s known that quantization of weights and activations can substantially reduce memory size and use more efficient bitwise operations to replace floating or matrix operations to achieve much faster calculation and lower power consumption. Our basic idea is to exploit quantization of weights and activations directly in pre-trained filter banks and adopt dynamic fusion strategies for different activity types. Experiments demonstrate that by using a dynamic fusion strategy, it is possible to exceed the baseline model performance by up to ∼5% on activity recognition datasets like the OPPORTUNITY and PAMAP2 datasets. Using the quantization method proposed, we were able to achieve performances closer to that of the full-precision counterpart. These results were also verified using the UniMiB-SHAR dataset. In addition, the proposed method can achieve ∼9× acceleration on CPUs and ∼11× memory saving. *Corresponding author. This work was supported in part by the National Natural Science Foundation of China (61472450), the Natural Science Foundation of Hunan Province (2017JJ3417) and the Science and Technology Plan of Hunan (2016TP1003). †©2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. See http://www.ieee. org/publications_standards/ publications/rights/index.html for more information ‡IEEE ACCESS DOI: 10.1109/ACCESS.2018. 2873315
A Simulation Model of Breast Cancer Incidence, Progression, Diagnosis and Survival in India

For resource-constrained health systems, it becomes important to evaluate the cost-effectiveness of a breast cancer (BC) screening program prior to its real-world implementation. In this paper, we provide an overview of a new simulation model of BC incidence, progression, and diagnosis developed to maximize the cost-effectiveness of a BC screening program. We describe the development of the modules for BC incidence, tumor growth and diagnosis, and survival estimation of diagnosed patients. Incidence of BC is based on published risk factors and publicly available national cancer registry reports. Survival curves for diagnosed patients based on specific characteristics such as age group and stage of diagnosis are generated using a single published survival curve for the entire population and hazard ratios for each characteristic. Our simulation development approach can provide a model development template for researchers working to develop BC simulation models in other settings with data availability similar to our case.
Young Women In The United States Increasingly Underestimate Their Weight, and Young Women In Korea Overestimate It

The purpose of this study was to investigate the differences in body image perception between young women in the United States and Korea. The study was conducted using data from young women aged between 20 and 40 who participated in the National Health and Nutrition Examination Survey (1999–2018) of the US and Korea. "Overweight" body image perception with normal body weight was considered underestimation. Overweight or obesity with a "normal weight" or "underweight" body image perception is considered as overestimating. The percentage of young women who were overweight or obese was about 60% in the US and about 20% in Korea. Twenty years ago, the percentage of young women who overestimated their weight in the US was 30.3%, before steadily declining. In Korea, it was 25.8% before rising to more than 41.9% in 2008. Of the overweight women, 32.6% in the US and 15.7% in Korea underestimated their weight 20 years ago, but since then, the percentage has gradually increased in the US and declined in Korea. Body image perception differed according to marital status and race. In conclusion, young women in the US tend to underestimate their weight while in Korea they tend to overestimate it.
Yield Curve Momentum

I analyze time series momentum along the Treasury term structure. Yield curve momentum is primarily due to changes in the level factor of yields. Because yield changes are partly induced by changes in the federal funds rate, yield curve momentum is related to post-FOMC announcement drift. The momentum factor is unspanned by the information in the term structure today and is hence inconsistent with standard term structure, macrofinance and behavioral models. I argue that the results are consistent with a model with unpriced longer term dependencies.
Effects of Exogenous GABA on Reactive Oxygen Species Metabolism and Chlorophyll Fluorescence Parameters in Tomato Under NaCl Stress

【Objective】The objective of this study was to investigate the effects of exogenous γ-aminobutyric acid GABA application on the alleviation of tomato injury of salt stress. 【Method】 Hydroponic experiments were performed to investigate the effects of exogenous GABA application(5 mmol·L-1) on growth,reactive oxygen species metabolism,chlorophyll contents,Pn and chlorophyll fluorescence parameters in seedlings of tomato cultivar 'Jinpeng No.1' under NaCl stress(150 mmol·L-1). 【Result】 It was found that exogenous GABA significantly increased activities of SOD,POD,CAT,GR and productive rate of,but slightly affected the growth,APX activity,contents of AsA,H2O2,MDA in tomato leaves under normal nutrient solution.On the other hand,exogenous GABA application to normal nutrient solution had no significant effects on chlorophyll contents,Pn,maximal photochemical efficiency of photosystem II(Fv/Fm) and non-photochemical quenching coefficient(NPQ),but Chl a/b,electron transport rate(ETR),actual photochemical efficiency(ΦPSⅡ) and photochemical quenching coefficient(qP) significant increased in tomato leaves.In comparison to NaCl stress,exogenous GABA application led to a marked increase in leaves growth,activities of SOD,POD,APX and GR,contents of AsA and GSH,as well as decrease in accumulation of,H2O2 and content of final product of membrane lipid peroxidation MDA,but little influence on CAT activity in leaves.Meanwhile,the addition of GABA to the salinized nutrient solution could maintain higher PSⅡ activity through significantly improving chlorophyll content,Pn,Fv/Fm,ETR,ΦPSⅡ and qP,as well as decreasing NPQ. 【Conclusion】Exogenous GABA application enhanced salt tolerance in tomato seedlings and alleviated the salt stress damage to PSII center via enhancing the antioxidant enzymes activities and the contents of antioxidants,reducing the accumulation of H2O2 and protecting the stabilization of membrane from peroxidation.
Assembly history and structure of galactic cold dark matter haloes

We use the Aquarius simulation series to study the imprint of assembly history on the structure of Galaxy-mass cold dark matter haloes. Our results confirm earlier work regarding the influence of mergers on the mass density profile and the inside-out growth of haloes. The inner regions that contain the visible galaxies are stable since early times and are significantly affected only by major mergers. Particles accreted diffusely or in minor mergers are found predominantly in the outskirts of haloes. Our analysis reveals trends that run counter to current perceptions of hierarchical halo assembly. For example, major mergers (i.e. those with progenitor mass ratios greater than 1:10) contribute little to the total mass growth of a halo, on average less than 20 per cent for our six Aquarius haloes. The bulk is contributed roughly equally by minor mergers and by ‘diffuse’ material which is not resolved into individual objects. This is consistent with modelling based on excursion-set theory which suggests that about half of this diffuse material should not be part of a halo of any scale. The simulations themselves suggest that a significant fraction is not truly diffuse, since it was ejected from earlier haloes by mergers prior to their joining the main system. The Aquarius simulations resolve haloes to much lower mass scales than are expected to retain gas or form stars. Thus, the fraction of diffuse dark matter accreted by haloes represents a lower limit to the fraction of diffuse baryons accreted by galaxies. Our results thus confirm that most of the baryons from which visible galaxies form are accreted diffusely, rather than through mergers, and they suggest that only relatively rare major mergers will affect galaxy structure at later times.
Option Pricing under GARCH models with Generalized Hyperbolic distribution (II) : Data and Results

In this paper, we provide a new dynamic asset pricing model for plain vanilla options and we discuss its ability to produce minimum mispricing errors on equity option books. The data set is the daily log returns of the French CAC40 index, on the period January 2, 1988, October 26, 2007. Under the historical measure, we adjust, on this data set, an EGARCH model with Generalized Hyperbolic innovations. We have shown (Chorro, Guegan and Ielpo, 2008) that when the pricing kernel is an exponential affine function of the state variables, the risk neutral distribution is unique and implies again a Generalized Hyperbolic dynamic, with changed parameters. Thus, using this theoretical result associated to Monte Carlo simulations, we compare our approach to natural competitors in order to test its efficiency. More generally, our empirical investigations analyze the ability of specific parametric innovations to reproduce market prices in the context of the exponential affine specification of the stochastic discount factor.
Larvae of longhorned beetles (Coleoptera; Cerambycidae) have evolved a diverse and phylogenetically conserved array of plant cell wall degrading enzymes

Longhorned beetles (Cerambycidae) are the most diverse group of predominantly wood‐feeding (xylophagous) insects on Earth. Larvae of most species feed within tissues of plants made up of large amounts of plant cell wall (PCW), which is notoriously difficult to digest. To efficiently access nutrients from their food source, cerambycid larvae have to deconstruct PCW polysaccharides – such as cellulose, hemicelluloses and pectin – requiring them to possess a diversity of plant cell wall degrading enzymes (PCWDEs) in their digestive tract. Genomic data for Cerambycidae are mostly limited to notorious forest pests and are lacking for most of the taxonomic groups. Consequently, our understanding of the distribution and evolution of cerambycid PCWDEs is quite limited. We addressed the numbers, kinds and evolution of cerambycid PCWDEs by surveying larval midgut transcriptomes from 23 species representing six of the eight recognized subfamilies of Cerambycidae and each with very diverse host types (i.e., gymnosperms, angiosperms, xylem, phloem, fresh or dead plant tissues). Using these data, we identified 340 new putative PCWDEs belonging to ten carbohydrate active enzyme families, including two gene families (GH7 and GH53) not previously reported from insects. The remarkably wide range of PCWDEs expressed by Cerambycidae should allow them to break down most PCW polysaccharides. Moreover, the observed distribution of PCWDEs encoded in cerambycid genomes agreed more with phylogenetic relationship of the species studied than with the taxonomic origin or quality of the host plant tissues.
Estimating Garment Patterns from Static Scan Data

The acquisition of highly detailed static 3D scan data for people in clothing is becoming widely available. Since 3D scan data is given as a single mesh without semantic separation, in order to animate the data, it is necessary to model shape and deformation behaviour of individual body and garment parts. This paper presents a new method for generating simulation‐ready garment models from 3D static scan data of clothed humans. A key contribution of our method is a novel approach to segmenting garments by finding optimal boundaries between the skin and garment. Our boundary‐based garment segmentation method allows for stable and smooth separation of garments by using an implicit representation of the boundary and its optimization strategy. In addition, we present a novel framework to construct a 2D pattern from the segmented garment and place it around the body for a draping simulation. The effectiveness of our method is validated by generating garment patterns for a number of scan data.
Which is the best predictor of clinically relevant pancreatic fistula after pancreatectomy: drain fluid concentration or total amount of amylase?

Drain fluid amylase concentration (DFAC) has been reported as a predictor of clinically relevant postoperative pancreatic fistula (CR‐POPF) after pancreatectomy. However, the clinical significance of measuring the total drain fluid amylase amount (DFAA) considering the daily drainage volume of CR‐POPF remains unclear.
Effect of Accounting Information Systems, System Quality and Service Quality on User Satisfaction of Mobile Banking-Based Applications

This study aims to test empirically whether accounting information systems, system quality and service quality affect the satisfaction of users of mobile banking-based applications for BCA customers. In this study primary data is used. The sample of this study is customers at BCA Bank who download and use Mobile Banking Based Applications using the Slovin formula method. There are 100 respondents who were studied as research samples. This research uses quantitative methods. The research variables used are accounting information systems, service quality system quality, and user satisfaction. The test used is multiple linear regression analysis using the SPSS version 23.0 application program. The results of this study indicate that accounting information system variables, system quality and service quality significantly influence the satisfaction of users of mobile bankingbased applications for BC customers both partially and simultaneously.
Candidate Gene Expression Investigation in Children With Attention Deficit Hyperactivity Disorder

Background: In this study, expression level analysis of genes associated with Attention Deficit Hyperactivity Disorder (ADHD) (SLC6A3, SLC6A4, SLC1A2, VMAT2, MAOA, COMT, GLYAT, GRM5, DRD4, TPH1, and ADRA2C) by pre-treatment and post-treatment with Atomoxetine and Methylphenidate was investigated. Methods: Forty-three ADHD diagnosed children and 38 healthy children were included to study. Forty-three patients with ADHD were divided into two groups, of which 35 patients used methylphenidate and 8 patients use atomoxetine. Five main study groups were generated: A control group, a group that includes methylphenidate pre-treatment samples, a group includes methylphenidate post-treatment samples, a group that includes atomoxetine pre-treatment samples and a group that includes atomoxetine post-treatment samples. Blood samples (10 ml each) were taken from everyone in study groups into EDTA tubes and RNA isolation was performed. mRNA expression levels of 11 determined candidate genes were showed via reverse transcription quantitative PCR method. Results: The expression levels of SLC6A3 (DAT) of ADHD diagnosed children were significantly higher than the control group, while the mRNA expression levels of SLC6A4, SLC1A2, VMAT2, MAOA, COMT, GLYAT, and TPH1 genes were significantly lower (t- test, p≤0.01). Conclusion: The expression level differences of these genes were determined to be useful as biomarkers in the diagnosis of ADHD. More patient numbers and studies with different groups are needed to fully reveal the relationship between these genes and the disease and its treatment.
Comparison of the Efficacy of Generation 1 and 2 Tyrosine Kinase Inhibitors in Non-Small Cell Lung Cancer Patients with EGFR Positive Mutations

Background: The use of TKI generation 1 (Gefitinib, Erlotinib) and Generation 2 (Afatinib) has become thestandard therapy for JPIC pulmonary adenocarcinoma type with positive EGFR gene mutations.Objective: to analyze the comparison of the efficacy of TKI generation 1 and 2 in NSCLC patients withpositive EGFR mutations.Methods: The design of this study used a retrospective in which the participants who received EGFR therapyfor TKI generations 1 and 2 were compared its efficacy. Data collected included health-related quality of life(HRQOL), body weight, performance status (PS), Response Evaluation Criteria in Solid Tumors (RECIST)of thoracic CT, Common Terminology Criteria for Adverse Events (CTCAE), progression free survival(PFS) and overall survival (OS). The statistical analysis used was the independent t test, Mann Whitney test,or Kruskal Wallis test with p <0.05. Results: Most of the participants’ quality of life scores did not change before and after therapy, where theEQ5D value was 67.5% (group 1 = 60.6%; Group 2 = 94.1%; p = 0.806). The participant’s weight decreasedby 49.5% (group 1 = 45.9%; group 2 = 60.0%; p = 0.658) and the participant’s PS was stable (group 1 =29.4%; group 2 = 50.0%; p = 0.014). The RECIST value of the participant was progressive disease 51.0% (p= 0.338). CTCAE differed in stomatitis (p <0.001), paronychia (p <0.001), and diarrhea (p <0.001). Therewas no significant difference between the first and second groups in the PFS (p = 0.197) and OS (p = 0.740)values.Conclusion: EGFR therapy for TKI generations 1 and 2 have almost the same efficacy, in which there is nosignificant difference in the quality of life of the participants.
The influence of chitosan, cellulose and alginate chemical nature on mineral matrix formation

Abstract Cell carriers such as chitosan, alginate and cellulose play a crucial role in cell behavior, however the influence of their chemical nature on osteogenesis is little studied. Here, rat bone marrow cells were grown on the surface of those polymers. The cells remained viable and produced a mineral matrix, which was deposited on the surface of all the polymers. The amount of inorganic matrix significantly varied according to the polymer, and the morphology of the inorganic matrix was influenced by the nature of the substrates, generating perfect hexagonal crystals at the surface of chitosan, alginate and cellulose. Graphical Abstract
Optimization of Mycoremediation Potential of A Fungi: Aspergillus Ochraceus Strain

Mycoremediation is an important process that targets the removal of petroleum hydrocarbons by fungi. Accordingly, colorimetric method was used in the preliminary investigation of petroleum degradation with ten fungal strains as Aspergillus ochraceus, Aspergillus parasiticus, Aspergillus niger, Fusarium acuminatum, Fusarium graminearum, Fusarium equiseti, Fusarium oxysporum, Paecilomyces lilac, Penicillium crustosum, and Penicillium chrysogenum. Petroleum degradation of spore suspension, live biomass (fungal pellet and disc) and cell-free culture supernatant of the potent A. ochraceus strain were determined by gravimetric analysis. It was obtained that the fungal disc (94%) was more successful than the spore suspension (87%) in petroleum degradation under optimized conditions as pH:5.0, 1% of petroleum concentration, %5 (v/v) of inocum concentration, 1 g/100mL of inoculum amount and 7 days of incubation period. The degradation rate constant and half-life period of spore suspension were calculated as 0.291 day − 1 and t 1/2 = 0.340 and of fungal disc were 0.401 day − 1 and t 1/2 = 0.247. 7.5% and 10% (v/v) concentration of cell-free culture supernatant were achieved more than 80% of petroleum removal. However, the cell-free culture supernatant was not as effective as fungal disc. According to GC/MS analysis, the fungal disc of A. ochraceus strain degraded long chain n-alkanes such as C 35 and C 36 more effectively than n-alkanes in the range of C 22 -C 34 . Drop-collapse and oil-spreading methods showed that A. ochraceus is a good biosurfactant producer. This study clearly pointed out that Aspergillus ochraceus NRRL 3174 strain with high its removal capacity can be used as an effective agent in petroleum bioremediation process.
Postfeminism, hybrid mumpreneur identities and the reproduction of masculine entrepreneurship

Mobilising postfeminism as an analytical device, this article re-examines how women business owners discursively engage with the identity of the mumpreneur. Drawing on interviews with women business owners, this article reconceptualises the compatibility between motherhood and entrepreneurship associated with the mumpreneur, in terms of a hybrid identity that interlinks feminine and masculine behaviours connected to home and work. Study data reveal the discursive practices present in interview accounts – choosing family and work, strategic mumpreneurship and enhancing the business without limits – which draw on postfeminist discourses to constitute hybrid entrepreneurial femininities associated with the mumpreneur category. The article contributes to the gender and entrepreneurship literature, in particular, the scholarship on mumpreneurship, by first, showing how engagement with the mumpreneur identity is implicated in the reproduction of masculine entrepreneurship; second, demonstrates how encounters with the mumpreneur contribute to the creation of a hierarchy of entrepreneurial identities which reinforces the masculine norm; and third considers how the mumpreneur as a hybrid identity mobilises entrepreneurship in children in gendered ways. While the emergence of the mumpreneur as a contemporary entrepreneurial identity has positively impacted how women’s entrepreneurship is viewed, the study demonstrates that it has not disrupted dominant discourses of masculine entrepreneurship or gendered power relations in the entrepreneurial field.