bluuebunny/crossref_metadata_2025_split huggingface dataset:
Feature Extraction Method for EEG based Biometrics
Authors: Li Sukun , Cha Sung-Hyuk 
Published: May 2019

Abstract
Distinct feature extraction methods are simultaneously used to describe single channel Electroencephalography (EEG) based biometrics. This study proposes a new strategy to extract features from EEG signals. Based on the time and frequency information, the statistics features are obtained from the EEGs. For the dichotomize process, the support vector machine classifier is used with 10-cross-fold in this research. The main contribution of this paper is to propose a simple but effective single-channel EEG feature extraction method and consider feature selection to optimize classification efficiency. In the experiments, the EEG data is obtained from a human-computer interaction environment when the subjects are under the non-stationary states with different emotions. The results show that this proposed method achieves better classification performance on a single-channel EEG system than previous work.
Confusion Matrices and Rough Set Data Analysis
Authors: Düntsch Ivo , Gediga Günther 
Published: May 2019

Abstract
A widespread approach in machine learning to evaluate the quality of a classifier is to cross – classify predicted and actual decision classes in a confusion matrix, also called error matrix. A classification tool which does not assume distributional parameters but only information contained in the data is based on rough set data model which assumes that knowledge is given only up to a certain granularity. Using this assumption and the technique of confusion matrices, we define various indices and classifiers based on rough confusion matrices.
Mobile Phone Sales Forecast Based on Support Vector Machine
Authors: Duan Zekun , Liu Yanqiu , Huang Kunyuan 
Published: May 2019

Abstract
In this paper, we select price, wear resistance, resistance to fall, charging interval, battery life, communication stability, photo effect, appearance design, memory size and whether to buy again as input variables, take different mobile phone sales foreground grade as output variables based on the survey data of all kinds of mobile phone users in the current Chinese market, using support vector machine regression algorithm (SVMR), BP Neural Network Algorithms and K-Nearest Neighbor Algorithms to establish models and predict the sales prospects of various kinds of mobile phones in China. The prediction results show that the predicted value of the mobile phone sales prediction model constructed by SVMR is basically consistent with the actual sales of all kinds of mobile phones in the market, which can provide some guidance for the manufacture and sale of various of mobile phones.
Store Sign Text Recognition for Wearable Navigation Assistance System
Authors: Xiang Kaite , Wang Kaiwei , Fei Lei , Yang Kailun 
Published: May 2019

Abstract
With the development of computer vision, wearable computing technologies not only have changed our lifestyle, but also have provided much convenience for vulnerable road users, especially the Visually Impaired (VI) pedestrians. VI people have difficulties in locating and socializing due to the limitations of traditional assistive tools, e.g., the inability to recognize text. Text plays a significant role in various aspects, which can convey abundant semantic information of the scene. In recent years, text detection and recognition has made huge progress which makes it possible for VI people to understand the surroundings by using scene text information. In this paper, a text recognition system is proposed to help VI people to perceive store sign text. Firstly, we locate the text on the sign with the aim of leading VI pedestrian to reach the destination store. Towards this end, an objection detection network is integrated into the system to extract Regions of Interest (ROI) in complex real-world scenarios. In order to fulfil real-time assistance, an efficient detection network named Single Shot MultiBox Detector (SSD) has been made light-weight and embedded in the wearable system. Secondly, we leverage an open-source optical character recognition (OCR) instrument to recognize the detected text. Afterwards, we introduce the collected dataset and critical training tips for the task. Finally, a comprehensive set of experiments on our dataset demonstrates that our approach significantly improves the precision and make the recognition robust even in real-world settings. Based on our approach, the wearable system can feedback the recognized text in real time and assist the VI people during their every independent navigation.
Thalamocortical Connection Topography Mapping in Human by Co-clustering
Authors: Cheng Hewei , Liu Jie , Tao Yiying 
Published: May 2019

Abstract
Connection topography mapping is crucial for understanding how information is processed in the brain, which is an essential precursor for revealing principles of brain organization. However, existing connectopic mapping methods are dependent on prior knowledge, or not completely driven by data. Accordingly, the constructed connection topographies by these methods are biased towards hypotheses, or deviate from data. For these challenges, we propose a novel co-clustering based method for connection topography mapping in a fully data-driven manner. The proposed method aims to construct the connection topography between two ROIs of a certain neural circuit in consideration by leveraging the power of co-clustering. More precisely, the proposed method parcellates one ROI into subregions and identified their respective connected subregions from the other ROI simultaneously. The effectiveness of our method was validated on the mapping of the human thalamocortical system for 57 subjects based on their resting state fMRI data. The validation experiment results have demonstrated that our method can construct neurobiologically meaningful thalamocortical connection topography. Compared with existing methods, our method yields more meaningful and interpretable connection topography.
Gated Time Delay Neural Network for Speech Recognition
Authors: Chen Kaibin , Zhang Weibin , Chen Dongpeng , Huang Xiaorong , Liu Boji , Xu Xiangmin 
Published: May 2019

Abstract
In deep neural networks, the gate mechanism is a very effective tool for controlling the information flow. For example, the gates of Long Short-Term Memory (LSTM) help alleviate the gradient vanishing problem. In addition, these gates preserve useful information. We believe that it will benefit if the system learns to explicitly focus on the relevant dimensions of the input. In this paper, we propose Gated Time Delay Neural Networks (Gated TDNN) for speech recognition. Time-delay layers are utilized to model the long temporal context correlation of speech signal while the gate mechanism enables the model to discover the relevant dimensions of the input. Our experimental results on the Switchboard and the Librispeech data sets demonstrate the effectiveness of the proposed method.
Moving in Sync: Hourly Physical Activity and Sedentary Behavior are Synchronized in Couples
Authors: Pauly Theresa , Keller Jan , Knoll Nina , Michalowski Victoria I , Hohl Diana Hilda , Ashe Maureen C , Gerstorf Denis , Madden Kenneth M , Hoppmann Christiane A 
Published: May 2019

Abstract

Background
Overall time spent in moderate-to-vigorous intensity physical activity (MVPA) and sedentary behavior are both correlated in couples. Knowledge about the nature and psychosocial correlates of such dyadic covariation could inform important avenues for physical activity promotion.

Purpose
The present study investigates hour-by-hour covariation between partners (i.e., synchrony) in MVPA and sedentary behavior as partners engage in their daily lives and links it with person-level MVPA/sedentary behavior, temporal characteristics, and relationship variables.

Methods
We used 7-day accelerometer data from two couple studies (Study 1, n = 306 couples, aged 18–80 years; Study 2, n = 108 couples, aged 60–87 years) to estimate dyadic covariation in hourly MVPA and sedentary behavior between partners. Data were analyzed using coordinated multilevel modeling.

Results
In both studies, hourly MVPA and sedentary behavior exhibited similarly sized dyadic covariation between partners in the low-to-medium range of effects. Higher MVPA synchrony between partners was linked with higher individual weekly MVPA and higher individual weekly sedentary levels, whereas higher sedentary synchrony between partners was associated with higher individual weekly MVPA but lower individual weekly sedentary levels. MVPA and sedentary synchrony were higher in the morning and evening, more pronounced on weekends, and associated with more time spent together, longer relationship duration, and time-varying perceptions of higher partner closeness.

Conclusions
This study demonstrates that MVPA and sedentary behaviors do not occur in a social vacuum. Instead, they are linked with close others such as partners. Thus, capitalizing on social partners may increase the effectiveness of individual-level physical activity interventions.
The Canadian Geography of Intergenerational Income Mobility
Authors: Corak Miles 
Published: May 2019

Abstract
Intergenerational income mobility varies significantly across Canada, with the 266 Census Divisions in the 1986 Census clustering into five non-contiguous regions. Nine complementary indicators are calculated for each Census Division using administrative data on a cohort of men and women born between 1963 and 1970. Collectively these indicators underscore the importance of simultaneously examining different dimensions of intergenerational mobility and also show that higher mobility is most strongly associated with less income inequality in the bottom half of the income distribution.
Is China's Pollution the Culprit for the Choking of South Korea? Evidence from the Asian Dust
Authors: Jia Ruixue , Ku Hyejin 
Published: May 2019

Abstract
This paper studies the impact of air pollution spillover from China to South Korea. To isolate the effects of cross-border pollution spillover from that of locally generated pollution, we exploit within-South Korea and over-time variation in the incidence of Asian dust—a meteorological phenomenon exogenous to district–time cells in South Korea—together with temporal variations in China's air quality. We find that conditional on being exposed to Asian dust, increased pollution in China leads to increased mortality from respiratory and cardiovascular diseases in South Korean districts, with the most vulnerable being the elderly and children under five.
Arabidopsis heat shock transcription factor HSFA7b positively mediates salt stress tolerance by binding to an E-box-like motif to regulate gene expression
Authors: Zang Dandan , Wang Jingxin , Zhang Xin , Liu Zhujun , Wang Yucheng 
Published: May 2019

Abstract
Plant heat shock transcription factors (HSFs) are involved in heat and other abiotic stress responses. However, their functions in salt tolerance are little known. In this study, we characterized the function of a HSF from Arabidopsis, AtHSFA7b, in salt tolerance. AtHSFA7b is a nuclear protein with transactivation activity. ChIP-seq combined with an RNA-seq assay indicated that AtHSFA7b preferentially binds to a novel cis-acting element, termed the E-box-like motif, to regulate gene expression; it also binds to the heat shock element motif. Under salt conditions, AtHSFA7b regulates its target genes to mediate serial physiological changes, including maintaining cellular ion homeostasis, reducing water loss rate, decreasing reactive oxygen species accumulation, and adjusting osmotic potential, which ultimately leads to improved salt tolerance. Additionally, most cellulose synthase-like (CSL) and cellulose synthase (CESA) family genes were inhibited by AtHSFA7b; some of them were randomly selected for salt tolerance characterization, and they were mainly found to negatively modulate salt tolerance. By contrast, some transcription factors (TFs) were induced by AtHSFA7b; among them, we randomly identified six TFs that positively regulate salt tolerance. Thus, AtHSFA7b serves as a transactivator that positively mediates salinity tolerance mainly through binding to the E-box-like motif to regulate gene expression.
Continuous, objective measurement of physical activity during chemotherapy for breast cancer: the Activity in Treatment pilot study
Authors: Nelson Sandahl H , Weiner Lauren S , Natarajan Loki , Parker Barbara A , Patterson Ruth E , Hartman Sheri J 
Published: May 2019

AbstractDespite many potential benefits of physical activity during and after breast cancer treatment, activity levels typically decline from pre- to posttreatment. Most previous research has relied on self-reported activity. The purpose of this study were to assess patterns of daily, to objectively measured physical activity throughout chemotherapy for breast cancer, and to identify predictors of physical activity patterns. Participants were given a Fitbit before starting chemotherapy and asked to wear it throughout chemotherapy. Restricted cubic splines assessed nonlinear patterns of Fitbit measured total physical activity (TPA) and moderate-to-vigorous physical activity (MVPA) throughout the duration of chemotherapy (mean = 17 weeks, standard deviation [SD] = 6.3). Mixed-effects regression models assessed the rate of physical activity decline. Regressions of subject-level random slope assessed predictors of the rate of physical activity decline on participant and cancer characteristics and self-reported physical and cognitive functioning. Participants (n = 32) were on average 50 years old; the majority had stage II breast cancer. MVPA declined linearly at a mean rate of 1.4 min/day (p = .002) for every 10% of chemotherapy completed, whereas TPA declined linearly at an average rate of 13.4 min/day (p = .0007) for every 10% of chemotherapy completed, until around halfway through chemotherapy, when activity rates leveled off. HER+ receptor status was associated with a greater rate of MVPA decline, β = 13.3, p = .04. This novel study of objectively measured daily MVPA throughout chemotherapy showed that most reductions in activity occurred during the first half of a course of chemotherapy. Targeting this early period of chemotherapy may be important for preventing declines in activity levels throughout chemotherapy.
Prepubertal gonadectomy reveals sex differences in approach-avoidance behavior in adult mice
Authors: Delevich Kristen , Hall Christopher , Boivin Josiah R. , Piekarski David , Zhang Yuting , Wilbrecht Linda 
Published: May 2019

AbstractAdolescence is a developmental period that is associated with physical, cognitive, and affective maturation and a time when sex biases in multiple psychiatric diseases emerge. While puberty onset marks the initiation of adolescence, it is unclear whether the pubertal rise in gonadal hormones generates sex differences in approach-avoidance behaviors that may impact psychiatric vulnerability. To examine the influence of peripubertal gonadal hormone exposure on adult behavior, we removed the gonads or performed sham surgery in male and female mice just prior to puberty onset and assessed performance in an odor-guided foraging task and anxiety-related behaviors in adulthood. We observed no significant sex differences in foraging or anxiety-related behaviors between intact adult male and female mice but found significant differences between adult male and female mice that had been gonadectomized (GDX) prior to puberty. GDX males failed to acquire the odor-guided foraging task, showed reduced locomotion, and exhibited increased anxiety-like behavior, while GDX females showed the opposite pattern of behavior. These data suggest that similar approach-avoidance phenotypes are achieved in male and female mice via different mechanisms mediated by the sex-specific hormonal milieus during pubertal maturation.
Impact of deviation from target working capital on firm profitability: evidence from India
Authors: Prasad Punam , Sivasankaran Narayanasamy , Shukla Ankur 
Published: May 2019

Purpose
The purpose of this paper is to assess the impact of deviation from the target investment in working capital (WC) (measured by net trade cycle (NTC)) on the profitability (measured by gross operating income (GOI) and net operating income (NOI)) of the listed non-financial Indian firms.

Design/methodology/approach
The study is based on the data collected on NTC, GOI, NOI and other variables pertaining to 242 listed non-financial Indian firms that form part of the Bombay Stock exchange 500 Index for the period 2012–2017 (1,452 firm-year observations). Following Banos-Caballero et al. (2010), the authors use a firm fixed effect regression as the benchmark regression for finding out the determinants of NTC of the sample firms. Furthermore, this study explores the impact of deviation (above and below target) from the target investments in WC on the firm profitability (GOI and NOI) employing fixed effect regression.

Findings
The result of this study reveals that Indian firms maintain a target NTC and try to converge in case of any deviations to it. Furthermore, the profitability of the sample firms was observed to be influenced by the deviation from the target NTC irrespective of whether the deviation was above or below the target investment level in WC.

Practical implications
This study highlights the importance of good WC management for firms due to the negative impact of the over- and under-investments in WC and contributes to the existing body of knowledge by suggesting that managers should keep close to the target WC and not deviate from this in order to maximize the firms’ profitability.

Originality/value
To the best of the knowledge of the researchers, this is perhaps the first study to examine the impact of firms’ deviation from their target investment in WC on the profitability for non-financial firms listed and operating in India.
The myriad meanings of cultural identities
Authors: Strizhakova Yuliya , Coulter Robin 
Published: May 2019

Purpose
The purpose of this paper is to provide the authors’ response to three commentaries (Batra and Wu, 2019; Papadopoulos, 2019; Westjohn and Magnusson, 2019) on Strizhakova and Coulter (2019), “Consumer cultural identities: local and global cultural identities and measurement implications,” International Marketing Review.

Design/methodology/approach
This is a conceptual paper and a response to commentaries on the initial paper Strizhakova and Coulter (2019), “Consumer cultural identity: local and global cultural identities and measurement implications”.

Findings
This paper continues an important dialogue on the topic of multifaceted consumer cultural identities. Specifically, the authors discuss the myriad meanings of cultural identity, as well as meanings of global, local, disinterested/disidentified and glocal cultural beliefs. The paper offers directions and poses questions that warrant future research attention and have important implications for global and local brand managers.

Originality/value
The paper addresses important issues and future research directions about the provocative topic of consumer cultural identities, their meanings, measurements and practical/research implications.
Conceptualizing and operationalizing local and global cultural identities: a comment
Authors: Westjohn Stanford A. , Magnusson Peter 
Published: May 2019

Purpose
The purpose of this paper is to provide a perspective on the Strizhakova and Coulter article in this issue, with particular focus on the conceptualization of local and global identities.

Findings
Strizhakova and Coulter (2019) offer valuable service in their discussion of the conceptualization and measurement of local and global identities. The authors suggest that local identity should not always be reduced to a local-as-national identity, but may be relevant as a sub-national or regional identity. The authors also find that another relevant identity-relevant construct is that of consumer disidentification that represents active rejection of one’s national identity as opposed to the passive disinterest represented by the unengaged category.

Originality/value
This commentary offers a new perspective to the local-global identity discourse by integrating consumer disidentification as the active rejection of identity.
Information practices among Taiwanese writers and makers: an exploration of digital natives
Authors: Chen Su-Yen , Kuo H.Y. , Chang H.-Y. 
Published: May 2019

Purpose
The purpose of this paper is to explore two types of Net-generation practitioners – writers and makers born in the 1980s – and how they describe their professions and their information practices.

Design/methodology/approach
The authors distinguished the information practices of Net-generation writers and makers from those of their older counterparts and then examined the contextual factors associated with the shared meanings in each community of practice, by interviewing a total of 14 participants, 7 writers and 7 makers, and qualitatively analyzed the resulting data.

Findings
First, the professional boundaries perceived by Net-generation practitioners are more blurred than those of their older counterparts. Second, they rely on life experience, online platforms and print for their sources of information and inspiration. Third, Facebooking and the use of filter bubbles are among the most popular information practices. Fourth, diversity, uniqueness, multimodal, participatory and self-media are keywords in their content creation and information produced. Fifth, connectivity (connecting people and resources) and collective intelligence (emphasizing how expertise is collected and distributed) are key themes associated with these digital natives. Sixth, the authors also identified and compared differences between these two groups.

Research limitations/implications
The study limitations include the small sample size of each practitioner group and the fact that the methods are dependent on the participants’ abilities to describe their information practices.

Originality/value
This study is among the first to focus on the characteristics of digital natives and their information practices. It provides a tentative framework for further exploration and contributes to our initial understanding of this topic.
Determinants of intention to give zakat on employment income
Authors: Andam Abdullah Campong , Osman Ahmad Zamri 
Published: May 2019

PurposeThe purpose of this paper is to identify the factors influencing intention of Muslim Filipinos to give zakat on employment income.Design/methodology/approachThe study used the extended theory of planned behaviour – an extension of the theory of reasoned action – to investigate the factors influencing intention to give zakat. The theory introduces six variables (i.e. attitude, perceived behavioural control, injunctive norm, descriptive norm, moral norm and past behaviour) in predicting the intention to give zakat. Totally, 450 questionnaires were distributed to the respondents in a Muslim-majority area (i.e. Marawi City), and 384 cases were deemed usable. The data have been analysed using multiple regression analysis.FindingsThis paper finds that attitude, descriptive norm and moral norm have a positive relationship with the intention to give zakat. Meanwhile, perceived behavioural control, injunctive norm and past behaviour are found to have insignificant influence over intention. However overall, the study supports the extension of the theory of planned behaviour which accounts for 53 per cent of the variance in intention.Originality/valueThis paper provides new insights on factors influencing the intention to give zakat on a non-Muslim majority country setting where no zakat institution operates. This paper also used the extended theory of planned behaviour on zakat compliance literature.