Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALISIS PENGARUH FREE CASH FLOW, PROFITABILITAS, LIKUIDITAS, LEVERAGE, DAN EARNING PER SHARE TERHADAP KEBIJAKAN DIVIDEN PADA PERUSAHAAN MANUFAKTUR TAHUN 2008-2011

Investor memerlukan informasi mengenai hasil kerja perusahaan sebagai bahan evaluasi atas keputusan ekonomi yang diambil, sehingga investor dapat memperkirakan kebijakan dividen yang akan dibuat perusahaan dan akan berdampak pada pembagian dividen yang akan diterimanya. Penelitian ini dilakukan untuk menguji pengaruh variabel Free Cash Flow (FCF), Profitabilitas (ROA), Likuiditas (CR), Leverage (DER), dan Earning Per Share (EPS) terhadap Kebijakan Dividen (DPR) pada perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia periode 2008-2011. Populasi dalam penelitian ini sejumlah 146 perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia periode 2008-2011. Teknik sampling yang digunakan adalah purposive sampling. Data diperoleh dari Indonesia Capital Market Directory (ICMD) selama tiga tahun berturut-turut dan laporan keuangan per 31 Desember 2008-2011 dari setiap masing-masing perusahaan. Diperoleh jumlah sampel sebanyak 21 perusahaan. Metode analisis yang digunakan adalah metode regresi berganda dan uji hipotesis menggunakan uji statistik t untuk menguji koefisien regresi parsial serta uji statistik F untuk menguji pengaruh secara simultan dengan tingkat kepercayaan 5%. Hasil penelitian menunjukkan bahwa Leverage (DER) berpengaruh signifikan terhadap Kebijakan Dividen (DPR). Variabel lain dalam penelitian ini, yaitu Free Cash Flow (FCF), Profitabilitas (ROA), Likuiditas (CR), dan Earning Per Share (EPS) tidak berpengaruh signifikan terhadap Kebijakan Dividen (DPR). Kata kunci : free cash flow, profitabilitas, likuiditas, leverage, dan earning per share, kebijakan dividen.
A Feasibility Study with Image-Based Rendered Virtual Reality in Patients with Mild Cognitive Impairment and Dementia

Virtual Reality (VR) has emerged as a promising tool in many domains of therapy and rehabilitation, and has recently attracted the attention of researchers and clinicians working with elderly people with MCI, Alzheimer’s disease and related disorders. Here we present a study testing the feasibility of using highly realistic image-based rendered VR with patients with MCI and dementia. We designed an attentional task to train selective and sustained attention, and we tested a VR and a paper version of this task in a single-session within-subjects design. Results showed that participants with MCI and dementia reported to be highly satisfied and interested in the task, and they reported high feelings of security, low discomfort, anxiety and fatigue. In addition, participants reported a preference for the VR condition compared to the paper condition, even if the task was more difficult. Interestingly, apathetic participants showed a preference for the VR condition stronger than that of non-apathetic participants. These findings suggest that VR-based training can be considered as an interesting tool to improve adherence to cognitive training in elderly people with cognitive impairment.
A comparative study of innovation behaviour in Singapore's KIBS and manufacturing firms

While most services innovation studies are concentrated on the OECD or EU countries, research on services innovation in the non-OECD context is still rare. This study investigates innovation behaviour of a certain group of services – knowledge-intensive business services (KIBS), compared with the manufacturing sector in Singapore. The main findings of this study are: (1) KIBS firms have higher innovating ratio than manufacturing firms, but innovating manufacturing firms are more likely to do R&D than innovating KIBS firms; (2) KIBS firms have higher human capital intensity, training spending intensity, innovation spending intensity, and R&D spending intensity than manufacturing firms; (3) KIBS firms and manufacturing firms have similar innovation objectives, although some delicate nuances do exist; (4) KIBS firms are less likely to have overseas partners for innovation collaboration than manufacturing firms; (5) there is a U pattern of innovation collaboration with geographic distance for both KIBS and manufacturing firms; (6) social capitals are important for KIBS firms' successful provision of innovation support to manufacturing clients; (7) the importance of spatial proximity varies over different phases of innovation support.
Analysis of a new bit tracking loop-SCCL

The authors propose a new bit tracking loop for biphase signals which is implemented like the maximum a posteriori probability (MAP) optimal bit synchronizer by the sample-correlate choose-largest algorithm except that the estimator is sampled and moved at most one sample each bit time. A mathematical Markovian model for analysis is used. The performance of the bit tracking loop, the mean square error of the jitter and the average acquisition time, are theoretically derived. The numerical results of performance analysis for various signal-to-noise ratios are found through computer evaluations. The data obtained illustrate that this new structure is a very effective bit synchronizer for digital communications systems applying digital signal processing techniques. >
Down with Retirement: Implications of Embodied Cognition for Healthy Aging

Cognitive and neurocognitive approaches to human healthy aging attribute age-related decline to the biologically caused loss of cognitive-control functions. However, an embodied-cognition approach to aging implies a more interactive view according to which cognitive control emerges from, and relies on a person’s active encounters with his or her physical and social environment. We argue that the availability of cognitive-control resources does not only rely on biological processes but also on the degree of active maintenance, that is, on the systematic use of the available control resources. Unfortunately, there is evidence that the degree of actual use might systematically underestimate resource availability, which implies that elderly individuals do not fully exploit their cognitive potential. We discuss evidence for this possibility from three aging-related issues: the reduction of dopaminergic supply, loneliness, and the loss of body strength. All three phenomena point to a downward spiral, in which losses of cognitive-control resources do not only directly impair performance but also more indirectly discourage individuals from making use of them, which in turn suggests underuse and a lack of maintenance—leading to further loss. On the positive side, the possibility of underuse points to not yet fully exploited reservoirs of cognitive control, which calls for more systematic theorizing and experimentation on how cognitive control can be enhanced, as well as for reconsiderations of societal practices that are likely to undermine the active maintenance of control resources—such as retirement laws.
Music feeling classification based on lyrics using weighting of non-emotional words

Music is used by people for music therapy and provision of mental support. Recently, in the field of music information science, studies on music classification have been conducted. However, most of these studies have classified music on the basis of melody and tempo. No classification method that is based on lyrics has been proposed for music therapy and the provision of mental support. Lyrics are an important element of music in addition to melody and tempo. Therefore we propose a music classification method based on lyrics. In this study, we conducted the emotion weighting of non-emotional words by using similarity in order to improve the previously proposed method that uses only emotional words. We realized emotion extraction from the entire lyrics by using non-emotional words in the proposed method. Further, we showed that a relatively high classification precision is obtained when compared with the conventional method.
The Us Long-Term Interest Rate Conundrum

US long-term interest rates evolved between 4 and 4.5% from the third quarter of 2004 to the third quarter of 2005. In the same time, the Federal Reserve raised its short-term rate. The last one was increased from 1% in June 2004 to 4.75% in March 2006. The long rate has thus been considered too low. In this essay, we will primarily try to assess the monetary policy effects on the US long-term interest rate. We will do some dynamic forecasts in order to gauge if the long rate sluggishness is in line with future short-term rate and inflation rate expectations. Indeed, simulations show that the long rate would be about 70 basis points below our forecasts. To explain this conundrum, we will explore two hypotheses that have been advocated: a Global Saving Glut and a rise in Pension Funds and Foreigners' long-term asset purchases. The latter hypothesis makes it possible to elucidate a great part of the gap between the long rate and the forecasts.
WindTalker: An Efficient and Robust Protocol of Cloud Covert Channel Based on Memory Deduplication

As information security and privacy are primary concerns for most enterprises and individuals, a threat called Cross-VM (Virtual Machine) Attack certainly impedes their adoption of public or hybrid cloud computing. Specifically, Cross-VM Attack enables hostile tenants to leverage various forms of covert channels to exfiltrate sensitive information of victims on the same physical host. A new covert channel has been demonstrated by exploiting a special feature of memory deduplication which is widely used in virtualization products, that is, writing to a shared page would incur longer access delay than those non-shared. However, this sort of covert channel attack is merely considered as "potential threat" due to lack of practical protocol. In this paper, we study how to design an efficient and reliable protocol of CCCMD (Cloud Covert Channel based on Memory Deduplication). We first analyze the CCCMD working scheme in a virtualized environment, and uncover its major defects and implementation difficulties. We then build a prototype named WindTalker which overcomes these obstacles. Our experiments show that WindTalker performs much better with lower bit error rate and achieves a reasonable transmission speed adaptive to noisy environment.
The Sweet Potato NAC-Domain Transcription Factor IbNAC1 Is Dynamically Coordinated by the Activator IbbHLH3 and the Repressor IbbHLH4 to Reprogram the Defense Mechanism against Wounding

IbNAC1 is known to activate the defense system by reprogramming a genetic network against herbivory in sweet potato. This regulatory activity elevates plant defense potential but relatively weakens plants by IbNAC1-mediated JA response. The mechanism controlling IbNAC1 expression to balance plant vitality and survival remains unclear. In this study, a wound-responsive G-box cis-element in the IbNAC1 promoter from -1484 to -1479 bp was identified. From a screen of wound-activated transcriptomic data, one transcriptional activator, IbbHLH3, and one repressor, IbbHLH4, were selected that bind to and activate or repress, respectively, the G-box motif in the IbNAC1 promoter to modulate the IbNAC1-mediated response. In the early wound response, the IbbHLH3-IbbHLH3 protein complex binds to the G-box motif to activate IbNAC1 expression. Thus, an elegant defense network is activated against wounding stress. Until the late stages of wounding, IbbHLH4 interacts with IbbHLH3, and the IbbHLH3-IbbHLH4 heterodimer competes with the IbbHLH3-IbbHLH3 complex to bind the G-box and suppress IbNAC1 expression and timely terminates the defense network. Moreover, the JAZs and IbEIL1 proteins interact with IbbHLH3 to repress the transactivation function of IbbHLH3 in non-wounded condition, but their transcription is immediately inhibited upon early wounding. Our work provides a genetic model that accurately switches the regulatory mechanism of IbNAC1 expression to adjust wounding physiology and represents a delicate defense regulatory network in plants.
The shape theorem for the frog model with random initial configuration

We prove a shape theorem for a growing set of simple random walks on Z d , known as frog model. The dynamics of this process is described as follows: There are active particles, which perform independent discrete time SRWs, and sleeping particles, which do not move. When a sleeping particle is hit by an active particle, the former becomes active as well. Initially, a random number of particles is placed into each site. At time 0 all particles are sleeping, except for those placed at the origin. We prove that the set of all sites visited by active particles, rescaled by the elapsed time, converges to a compact convex set.
The effect of metabolic syndrome on heart rate turbulence in non-diabetic patients.

BACKGROUND Metabolic syndrome (MetS), which includes a cluster of risk factors, is being increasingly recognized as a new risk factor for cardiovascular disease. Heart rate turbulence (HRT) is a Holter-based non-invasive method for detecting cardiac autonomic imbalance and is an independent, powerful predictor of cardiac arrhythmias and sudden cardiac death in different patient groups. This study evaluated the effect of MetS on HRT in non-diabetic patients. METHODS This study included 80 non-diabetic MetS subjects and 50 healthy subjects. All 130 subjects underwent a 24-h ambulatory Holter electrocardiogram recording. Two indices of HRT were analyzed: turbulence onset (TO) and turbulence slope (TS). HRT values were classified into 3 categories for risk stratification: 1) Category 0, TO and TS were normal; 2) Category 1, either TO or TS was abnormal; 3) Category 2, both TO and TS were abnormal. RESULTS When we compared MetS rates in the HRT risk stratification groups, there were significant differences for all groups as compared with the controls (Category 0 = MetS 28.8%, n = 15, Control 71.2%, n = 37, p 〈 0.001; Category 1 = MetS 80.8%, n = 42, Control 19.2%, n = 10, p 〈 0.001; Category 2 = MetS 88.5%, n = 23, Control 11.5%, n = 3, p 〈 0.001). In addition, TO and TS abnormalities were correlated with the number of MetS components (r = 0.608, p 〈 0.001; r = -0.388, p 〈 0.001, respectively). CONCLUSIONS To our knowledge, this is the first study to establish a relationship between HRT and MetS. These findings suggest that MetS adversely affects HRT scores. In addition, the number of MetS components is related to impaired HRT scores.
The HIV Envelope but Not VSV Glycoprotein Is Capable of Mediating HIV Latent Infection of Resting CD4 T Cells

HIV fusion and entry into CD4 T cells are mediated by two receptors, CD4 and CXCR4. This receptor requirement can be abrogated by pseudotyping the virion with the vesicular stomatitis virus glycoprotein (VSV-G) that mediates viral entry through endocytosis. The VSV-G-pseudotyped HIV is highly infectious for transformed cells, although the virus circumvents the viral receptors and the actin cortex. In HIV infection, gp120 binding to the receptors also transduces signals. Recently, we demonstrated a unique requirement for CXCR4 signaling in HIV latent infection of blood resting CD4 T cells. Thus, we performed parallel studies in which the VSV-G-pseudotyped HIV was used to infect both transformed and resting T cells in the absence of coreceptor signaling. Our results indicate that in transformed T cells, the VSV-G-pseudotyping results in lower viral DNA synthesis but a higher rate of nuclear migration. However, in resting CD4 T cells, only the HIV envelope-mediated entry, but not the VSV-G-mediated endocytosis, can lead to viral DNA synthesis and nuclear migration. The viral particles entering through the endocytotic pathway were destroyed within 1–2 days. These results indicate that the VSV-G-mediated endocytotic pathway, although active in transformed cells, is defective and is not a pathway that can establish HIV latent infection of primary resting T cells. Our results highlight the importance of the genuine HIV envelope and its signaling capacity in the latent infection of blood resting T cells. These results also call for caution on the endocytotic entry model of HIV-1, and on data interpretation where the VSV-G-pseudotyped HIV was used for identifying HIV restriction factors in resting T cells.
Automatic Summarization for Chinese Text Based on Sub Topic Partition and Sentence Features

With the explosion of electronic information on web, there is the increasing requirement to obtain the information needed accurately and efficiently. In this article, a method of automatic summarization based on sub topic partition and sentence features is proposed, in which the sentence weight is computed based on LexRank algorithm combining with the score of its own features in every sub topic, such as its length, position, cue words and structure. In addition, we reduce redundancy of candidate sentence collection. With evaluation on six different genres of data sets, our method could get more comprehensive and high-quality summarization with less redundancy than the original LexRank algorithm.
Classification of sperm cells according to their chromosomic content using a neural network trained with a genetic algorithm

A priori determination of the sex of a human individual before gestation is a desirable goal in some cases. To achieve this, it is necessary to perform the separation of sperm cells containing either X or Y chromosomes. As is well known, male sex depends on the presence of chromosome Y. Once this separation is achieved in principle, we require to determine, with a high degree of accuracy, whether the sperm cells of interest contain the desired X or Y chromosomes. If we are able to obtain certain simple measurements regarding the sperm cells under consideration we will be able to control the fertilization process reliably. In this paper we report a method which allows for non-invasive verification of the characteristics of the separated sperm. We determined a set of easily measurable characteristics. From a sample drawn from previously cropped sperm we trained a neural network with a genetic algorithm. The trained network was able to perform a posteriori classification with an error much smaller than 1%. This percentage of efficiency is better than the ones reported in centers of assisted fecundation.
Commonality-Rarity Score Computation: A novel Feature Selection Technique using Extended Feature Space of ELM for Text Classification

The number of digital documents, which are a collection of a huge volume of features on the Web, is increasing day-by-day. Hence, selection of important features relevant to the classification process, and consequently discarding irrelevant ones, is the need of the hour. Aiming in this direction, this paper highlights two important aspects of Information Retrieval: - proposes a new feature selection technique called Commonality-Rarity Score Computation (CRSC) to find the important features from a large corpus. - shows the importance of extended feature space of Extreme Learning Machine (ELM) in the field of text categorization. Empirical results on two established datasets show that the proposed approach is more promising compared to the standard feature selection techniques and the performance of ELM outperforms other prominent classifiers.
Aggregate Consumption and Stabilization Plans in Brazil

This paper analyses the dynamic relations among consumption, income and wealth in Brazil, from 1980 to 1995, based on the Life Cycle hypothesis. It also investigates the impacts from the stabilization plans (Cruzado, Collor and Real) over the Brazilian consumption. The results from the VAR estimation and the impulse response functions seem to support the Life Cycle hypothesis. A long run equilibrium relationship between consumption and income is observed. The consumption and stabilization plans analysis suggests that temporary shocks do not change the long run consumption behavior. With the Real Plan, the consumption stability is achieved much earlier in comparison with the other plans.
Research in experimental economics : a research annual

Preface, R. Mark Isaac moral hazard and risk sharing experimental evidence, Joyce E. Berg et al testing principal-agent theory, Seth Epstein do prices convey information? further empirical evidence, Douglas V. DeJong et al private information, prices, asset allocation, and profits - further experimental evidence, Susan Watts forward induction - experimental evidence from two-stage games with complete information, Jordi Brandts and Charles A. Holt testing non-cooperative bargaining theory in experiments, Glenn W. Harrison and Kevin A. McCabe incentive regulation and regulation, James C. Cox and R. Mark Isaac the calculation of equilibrium mixed strategies in posted-offer auctions, Charles A. Holt and Fernando Solis-Soberon.
Automatic model matching using part based model constrained active appearance models for skeletal maturity

Skeletal maturity assessment is important for diagnosing and monitoring growth disorders in Children and young adults. Statistical models of bone shape and appearance have been shown to be useful for estimating skeletal maturity. One critical requirement in automated skeletal maturity estimation is matching built models to unseen images of the bones of the hand. Oftentimes some form of initialization is required to prevent the model from falling into local minima. In this work we used part-based models to initialize the image of an incoming radiographic image and then fit a global Active Appearance models of the whole hand using the found points from the Part based models as `weighted' constraints. Having found the approximate positions of the bones of the hands we then fit local models to refine the model fit. By analysing performance on dataset of 94 digitized images of normal children we achieved a model fitting accuracy of an overall point to point median error of 0.7mm.
The adaptive PID controller design for motor control system with backlash

The control performance will become worse since a backlash in motor control system, which can increase steady-state error, cause the system vibration, and make the system trap in a limit-cycle. The dynamic model of backlash in electronic actuator has been constructed, and the influence to the system stability caused by backlash was analyzed. According to model reference adaptive control theory, an adaptive PID controller for electronic actuator system with a backlash has been designed. According to the numerical simulation results, it has been proved that the adaptive PID controller performs better than conventional PID in eliminating the vibration caused by the backlash.
Hardware as a Service (HaaS): The completion of the cloud stack

Cloud computing continuously pervades today's IT landscape offering services on various levels of abstraction such as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Despite the different usage scenarios, the services are all built on the same fundamental principle: users can access them remotely without the need for any upfront capital expenses, long-term commitment, or significant provisioning delay. However, there is a technological gap with regard to provisioning of individual hardware components as cloud services, expressed by either directly attached devices. This paper is an approach to introduce a novel cloud layer in the existing and accepted cloud stack. The proposed layer is called Hardware as a Service (HaaS) and will allow for usage of distinct hardware components through the Internet analogously to the cloud services. HaaS focuses the transparent integration of remote hardware that is distributed over multiple geographical locations into an operating system. The local system will appear as if all hardware devices are connected locally, which improve the state-of-the-art development process and will enable a more efficient development cycles, resulting in a shorter time to market.