Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of mobile phone electromagnetic fields: Critical evaluation of behavioral and neurophysiological studies

For the last two decades, a large number of studies have investigated the effects of mobile phone radiation on the human brain and cognition using behavioral or neurophysiological measurements. This review evaluated previous findings with respect to study design and data analysis. Provocation studies found no evidence of subjective symptoms attributed to mobile phone radiation, suggesting psychological reasons for inducing such symptoms in hypersensitive people. Behavioral studies previously reported improved cognitive performance under exposure, but it was likely to have occurred by chance due to multiple comparisons. Recent behavioral studies and replication studies with more conservative statistics found no significant effects compared with original studies. Neurophysiological studies found no significant effects on cochlear and brainstem auditory processing, but only inconsistent results on spontaneous and evoked brain electrical activity. The inconsistent findings suggest possible false positives due to multiple comparisons and thus replication is needed. Other approaches such as brain hemodynamic response measurements are promising but the findings are few and not yet conclusive. Rigorous study design and data analysis considering multiple comparisons and effect size are required to reduce controversy in this important field of research. Bioelectromagnetics 32:253–272, 2011. © 2010 Wiley‐Liss, Inc.
Understanding the Effect of Non-Technological Innovation on Technological Innovation and Innovation Success

By using empirical data collected from 278 manufacturing firms in Korea, this study investigates the relationship between technological innovations (i.e., product and process innovations) and non-technological innovations (i.e., organizational and marketing innovations) and innovation success. We propose that non-technological innovation is considered an essential precondition of technological innovation, leading to innovation success. We highlight that technological innovation exerts a strong influence on innovation success only when non-technological innovation adequately strains the relationship between them. The findings of this study show that the indirect effect of non-technological innovation on innovation success through technological innovations enables firms to enhance firm performance and that no synergistic effect exists between technological and non-technological innovation on innovation success.
Chapter 2 Hybrid AC / DC Micro-Grids : Solution for High Ef fi cient Future Power Systems

This chapter titled “Hybrid AC/DC Microgrids: Solution for High Efficient Future Power Systems” presents a new configuration for future power systems which is the hybrid AC/DC gird for high efficient connection of the inherent AC and DC sources and loads. Three-phase AC power systems have been in dominant position for over hundred years due to invention of transformer and the inherent characteristic from fossil energy-driven rotating machines. However, the gradual changes of load types and distributed renewable generation (DRG) in AC local distribution systems provide food for consideration of adding DC networks. Renewable sources such as fuel cells and solar photovoltaics are DC inherent and should be connected to AC grid through DC/AC conversion techniques whereas some AC inherent renewable sources like wind generators also need DC links in their conversion systems to increase efficiency and mitigate power variation caused by intermittency and uncertainty. The disadvantage of AC grids for connection of DC inherent sources and loads as well as AC loads with DC links is that additional DC/AC or AC/DC converters are required, which may result in efficiency loss from the reverse conversion. In the other hand DC grids are resurging due to the development and deployment of renewable DC power sources and their inherent advantage for DC loads in commercial, industrial and residential applications. The number of power conversions in a DC microgrid has been significantly reduced to enhance system energy efficiency. A more likely scenario is the coexistence of both P. Wang (&) J. Xiao C. Jin Nanyang Technology University, Singapore, Singapore e-mail: epwang@ntu.edu.sg J. Xiao e-mail: XI0012NG@e.ntu.edu.sg C. Jin e-mail: Jinchi@e.ntu.edu.sg X. Han W. Qin Taiyuan University of Technology, Shanxi, China e-mail: hanxiaoqing@tyut.edu. cn W. Qin e-mail: qinwenping1027@163.com © Springer Science+Business Media Singapore 2017 N.R. Karki et al. (eds.), Sustainable Power Systems, Reliable and Sustainable Electric Power and Energy Systems Management, DOI 10.1007/978-981-10-2230-2_2 23 AC and DC microgrids, which is so-called the hybrid AC/DC microgrid in order to reduce processes of multiple reverse conversions in an individual AC or DC microgrid and facilitate the connection of various renewable AC/DC sources and loads to power system. Therefore the concept of hybrid microgrids, which can harmonize both AC and DC sources and loads, has been proposed for future high efficient power systems. Conventional AC and DC grids are interconnected together through the bidirectional AC/DC converter. The component model has been introduced. The control and operation of individual sources and energy storages are presented. The coordination control and power sharing techniques are also introduced.
Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover sourcemismatch

Since the BOSS competition, in 2010, most steganalysis approaches use a learning methodology involving two steps: feature extraction, such as the Rich Models (RM), for the image representation, and use of the Ensemble Classifier (EC) for the learning step. In 2015, Qian et al. have shown that the use of a deep learning approach that jointly learns and computes the features, is very promising for the steganalysis. In this paper, we follow-up the study of Qian et al., and show that, due to intrinsic joint minimization, the results obtained from a Convolutional Neural Network (CNN) or a Fully Connected Neural Network (FNN), if well parameterized, surpass the conventional use of a RM with an EC. First, numerous experiments were conducted in order to find the best " shape " of the CNN. Second, experiments were carried out in the clairvoyant scenario in order to compare the CNN and FNN to an RM with an EC. The results show more than 16% reduction in the classification error with our CNN or FNN. Third, experiments were also performed in a cover-source mismatch setting. The results show that the CNN and FNN are naturally robust to the mismatch problem. In Addition to the experiments, we provide discussions on the internal mechanisms of a CNN, and weave links with some previously stated ideas, in order to understand the impressive results we obtained.
Motives for international cooperation on R&D and innovation: empirical evidence from Argentinean and Spanish firms

This paper focuses on the strategic motives and firm characteristics that influence cooperation for R&D and innovation among Argentinean and Spanish firms. On the basis of a review of different theoretical perspectives we propose and apply a taxonomy of motives for inter-firm technological cooperation. We combined quantitative and qualitative methodologies, developing a database of 540 innovative firms and conducting a survey that obtained evidence from 104 of these firms, supplemented by information gathered from 19 in-depth interviews. Our results show that technological cooperation is not easy to achieve and determined by a complex interplay of intentions and practical opportunities. The lack of convergence in the motives for cooperation creates un-favourable conditions and affects negatively the initiation of the cooperation processes. These differences together with asymmetries in access to funding are important obstacles to cooperation with implications in the administration of national policy incentives and its regulation mechanisms.
BOARD OF DIRECTORS AND CORPORATE SUSTAINABILITY – OUTLINING THE EFFECTIVE PROFILE OF THE BOARD

Sustainability is one of the most significant trends in financial markets for decades. Sustainability is where businesses should focus today in order to reach and maintain a leading position and have a long-term perspective. The paper investigated into the researchers view on the ways corporate sustainability should be embedment, specifically into the issues of interrelations of the company’s strategy and sustainability road, connection of corporate governance and corporate sustainability, into the roles of corporate governance agents in the sustainability integration. The paper highlighted the lack of specification of the roles for stakeholders involved, determined the importance of the future empirical investigation conduction and raised the important issues of the corporate sustainability and corporate governance correlation, which still have not been properly examined.
Dermatofibrosarcoma Protuberans, Giant Cell Fibroblastoma, and Hybrid Lesions in Children: Clinicopathologic Comparative Analysis of 28 Cases With Molecular Data: A Study From the French Federation of Cancer Centers Sarcoma Group

The clinicopathologic and immunohistochemical features of 28 dermatofibrosarcoma protuberans (DFSP), giant cell fibroblastomas (GCFs), and hybrid lesions occurring in children are presented, including molecular data for seven of them. There were 19 pure adult-type DFSP (9 male and 10 female patients aged between a few days [neonate] and 13 years, median 7 years), 5 pure GCF (all males aged from 2 to 8 years, median 4 years), and 4 hybrid tumors (all males aged from 1 to 4 years, median 2.5 years). Tumor locations in pure adult-type DFSP included the trunk (6) and lower (11) and upper (2) limbs. Pure GCFs were observed on the trunk (4) and knee (1), and hybrid lesions on the trunk (2) and lower (1) and upper (1) extremities. Tumor size (n = 20) ranged from 0.6 to 5 cm (median 2 cm). Histologically, pure DFSP presented as monotonous and infiltrative, low-grade, dermal/hypodermal storiform spindle cell proliferations, sparing adnexal structures. GCF showed a dense fibrous to myxoid matrix containing slender wavy spindle cells and multinucleated giant stromal cells often lining angiectoid spaces. Hybrid lesions showed varying combinations of DFSP and GCF areas. Mitotic activity ranged from 1 to 3 mitoses per 10 high power fields. All tumors were diffusely positive for vimentin and CD34 but negative for smooth muscle actin, desmin, epithelial membrane antigen, and cytokeratins; one pure adult-type DFSP was also S-100 protein positive; <1% of nuclei were Ki67 (Mib-1) positive. One karyotyped adult-type DFSP showed an unbalanced t(17;22) (q22;q13) translocation. Multiplex RT-PCR analysis and sequencing of PCR products in seven cases showed COL1A1-PDGFB gene fusion transcripts in two pure DFSP, two pure GCFs, and one hybrid lesion. Results were uncertain in one pure GCF; one adult-type DFSP was negative. Treatment procedures were known for 27 patients, consisting of 16 wide excisions and 11 marginal excisions. Follow-up information on 15 widely excised tumors (median 24 months; range 5–144 months) showed no recurrence. Five of six marginally excised lesions with available follow up recurred 2 months to 6 years (median 2 years) after initial surgery; all but one were cured by wide reexcision. None of the tumors metastasized. In conclusion, this study emphasizes 1) the occurrence of adult-type DFSP in children, 2) the close relationship between DFSP and GCF clinically, histologically, and molecularly, 3) the excellent prognostic of these lesions if widely excised, and 4) the diagnostic usefulness of RT-PCR analyses in detecting the COL1A1-PDGFB gene fusion transcripts resulting from the t(17;22) (q22;q13) in paraffin-embedded tissues.
Cigarette smoking and pancreas cancer: A case‐control study of the search programme of the IARC

A multi‐centre case‐control study of pancreas cancer, designed to be population‐based, to use a random sample of local populations as controls and to use a common protocol and core questionnaire, was conducted as the first study of the SEARCH programme of the International Agency for Research on Cancer. “Ever‐smokers” were found to be at increased risk for pancreas cancer compared with “never‐smokers” consistently in all strata of gender, response status and centre. Risk of pancreas cancer was found to increase with increasing lifetime consumption of cigarettes, the relative risk rising to 2.70 (95% C.I. 1.95 to 3.74) in the highest intake category. The overall trend in risk was highly significant and the association was found consistently in each stratum of gender, response status and centre. Fifteen years had to pass from quitting cigarette smoking until the risk fell to a level compatible with that in never‐smokers among the heaviest group of smokers; among the 2 lowest tertiles this happened within 5 years. Further, reported smoking habits more than 15 years before diagnosis appeared to have no influence on pancreas‐cancer risk, irrespective of amount smoked. The results are consistent with a causal role for cigarette smoking in the aetiology of pancreas cancer and illustrate that ceasing to smoke cigarettes can lead to reductions in the elevated risk of pancreas cancer produced by this habit. © 1996 Wiley‐Liss, Inc.
Electric field coupling technique of wireless power transfer for electric vehicles

An electric-field coupling wireless-power-transfer technique is proposed based on the concept of impedance matching. In the proposed electric-field coupling technique, the impedance matching can be easily achieved by controlling the matching inductance. Also, the shielding of the electric field is easy. A metallic plate implemented at the bottom surface of a vehicle is proposed to maximize the coupling capacitance. A simplified experimental setup has been developed, and the maximum power transfer efficiency of about 78% has been measured.
The Effect of Managerial Decisions on Sport Resources Over On-Field Performance in European Soccer Clubs

The Effect of Managerial Decisions on Sport Resources Over On-Field Performance in European Soccer Clubs Aseel Al Ghamdi Advisor University of Guelph, 2016 Dr. Vinay Kanetkar This thesis investigates the relationship between sport resources and on-field performance in European soccer clubs. Utilizing a data set from English Premier League, German Bundesliga, Italian Serie A, and Spanish La Liga that combines indicators of financial, human, relational, informational and organizational resources, this empirical study is based on exploratory factor analysis followed by two structural equation modeling equations. The analysis indicates that financial resources were ranked first in influence over on-field performance followed by relational resources, human resources, and informational resources respectively. One interpretation of this is that rich clubs participating in European open league system will more likely dominate on-field results conditional on the successful management of coaches, players, and relationship between them to provide a better utilization of financial spending. The implications of this micro-level study will provide soccer managers of European clubs a systematical approach to prioritize sport resources and study their effect over onfield performance. Other potential wider implications will be discussed related to the development of profitability, sponsorship and fan growth of European clubs in relation to on-field performance.
Successful treatment of patients with systemic lupus erythematosus complicated with autoimmune thyroid disease using double‐filtration plasmapheresis: A retrospective study

Systemic lupus erythematosus (SLE) associated with autoimmune thyroid disease (AITD) is a complex and well recognized autoimmune disorder. Careful monitoring/surveillance of thyroid gland functioning and active treatment of SLE patients with coexisting AITD, typically using medications, are critically important. The role of apheresis in this setting remains to be fully explored. Here we examine the use of double‐filtration plasmapheresis (DFPP), as an adjuvant therapy in the treatment of patients with SLE complicated with AITD and report our experiences using this apheresis methodology.
The Politics of Affirmation Theory

It has been well established in the literature that affirming the individual self reduces the tendency to exhibit group-favoring biases. The limited research examining group-affirmation and bias, however, is inconclusive. We argue that group-affirmation can exacerbate group-serving biases in certain contexts, and in the current set of studies, we document this phenomenon directly. Unlike self-affirmation, group-affirmation led to greater ingroup-favoring evaluative judgments among political partisans (Experiment 1). This increase in evaluative bias following group-affirmation was moderated by political party identification and was not found among those who affirmed a non-political ingroup (Experiment 2). In addition, the mechanism underlying these findings is explored and interpreted within the theoretical frameworks of self-categorization theory and the multiple self-aspects model (Experiments 2 and 3). The broader implications of our findings for the understanding of social identity and affirmation theory are discussed.
Symbolic types for lenient symbolic execution

We present lambda_sym, a typed λ-calculus for lenient symbolic execution, where some language constructs do not recognize symbolic values. Its type system, however, ensures safe behavior of all symbolic values in a program. Our calculus extends a base occurrence typing system with symbolic types and mutable state, making it a suitable model for both functional and imperative symbolically executed languages. Naively allowing mutation in this mixed setting introduces soundness issues, however, so we further add concreteness polymorphism, which restores soundness without rejecting too many valid programs. To show that our calculus is a useful model for a real language, we implemented Typed Rosette, a typed extension of the solver-aided Rosette language. We evaluate Typed Rosette by porting a large code base, demonstrating that our type system accommodates a wide variety of symbolically executed programs.
Heuristics for finding concurrent bugs

This paper presents new heuristics that increase the probability of manifesting concurrent bugs. The heuristics are based on cross-run monitoring. A contended shared variable is chosen and random context switching is performed at accesses to that variable. The relative strength of the new heuristics is analyzed. In comparison to previous works, our heuristics increase the frequency of bug manifestation. In addition, the new heuristics were able to find bugs that previous methods did not discover.
Marketing in B2B organisations: as it is; as it should be – a commentary for change

Purpose There are many challenges facing senior marketing people, and this commentary paper, based on the author’s consultancy experience, teaching expertise and observations of the business-to-business (B2B) environment, aims to address the causal relationship between marketing expenditure and results, which is holding back marketers from inclusion in the boardroom. Design/methodology/approach This paper includes a contextual analysis with questions and answers, giving supporting examples and facts. Findings B2B marketers have work extensively to earn a place in the boardroom. The author remains optimistic that given the increasing number of chartered marketers (marketing executives qualified to practice via the Chartered Institute of Marketing) and marketing MSc programmes, B2B marketers will eventually earn the right become the main drivers of corporate strategy, as is the case in the best companies in the world. Originality/value The paper brings valuable insight into enhancing marketing accountability and to provide a better position to marketers in the boardroom.
Parallel implementation of eigenface on CUDA

Face recognition has many real world applications including surveillance and authentication. Due to complex and multidimensional structure of face it requires huge computations therefore fast face recognition is required. One of the most successful appearance based techniques for face recognition is Principal Component Analysis (PCA) which is generally known as eigenface approach. It suffers from the disadvantage of higher computation cost, despite its better recognition rate. With the increase in number of images in training database and also the resolution of images, the computational cost also increases. In this paper, we present a CUDA implementation of eigenface approach for face recognition. The proposed algorithm has shown a 5× speedup in training phase.
Effect of storage temperature and duration on viability of eggs of Helicoverpa armigera (Lepidoptera: Noctuidae)

Abstract The ability to store different insect stadia for prolonged periods provides considerable flexibility and ability to conduct experiments properly. Therefore, studies were undertaken to determine the effect of storage temperature and duration on viability of eggs of Helicoverpa armigera (Hübner). The percentage egg hatch and incubation period were significantly (P=0.01) influenced by egg age, storage temperature, and storage duration. Egg hatch ranged from 0.0 to 96.8% across temperatures and storage durations. None of the eggs hatched when stored at −20 and 0°C. The regression model with the optimum Mallow Cp statistic for any of the identified linear and quadratic terms did not improve the precision of prediction in egg hatch beyond 67.0%. Forecasting of incubation period based on egg age, storage duration, and duration×temperature was quite effective (R2=84.2%). Day degrees required for egg hatching decreased with an increase in temperature from 10 to 27°C, and egg age from 0 to 3 days. The day degree requirements were highest for 0-day-old eggs at 10°C, and lowest at 27°C. Although the incubation period was higher, the hatchability was lower for 0- and 1-day-old eggs stored at constant 10°C, these eggs can be stored for 10 days at 10°C, with a hatchability of >75.0%. It was safer to store the H. armigera eggs for 10 days at 10°C, which will hatch within 1.6 to 2.0 days after restoration at 27°C with a hatchability of >75.0%. This information will be useful in planning and execution of experiments involving H. armigera on various aspects of research in entomology.
Emerging drugs for T-cell lymphoma

Introduction: T-cell lymphomas are rare and conventional treatments are not typically curative. Integration of biologic agents into routine practice is especially difficult given the breadth of emerging drugs currently or recently in trials. Areas covered: This is an overview of the management of T-cell lymphoma as it stands today. The authors review clinically active biological and novel chemotherapeutic agents, which have a niche in current practice or are being actively developed and have a potential future role in the management of this challenging group of diseases. Clinical trial data were retrieved from journals and current major conference proceedings following interrogation of online search engines Expert opinion: Pralatrexate, the histone deacetylase inhibitors and brentuximab vedotin have reached the market and have provided new and useful treatment options. No novel agent has yet demonstrated a survival advantage for patients with this disease, or shown an ability to improve the low response rate to first-line chemotherapy that these diseases frequently exhibit. New randomized studies of these emerging drugs that may finally move the field forward with evidence of superiority from large Phase II and III trials currently open to accrual.