Miracle-dz/UniFAR-FTUs huggingface dataset:
Virtualization technique for port knocking in mobile cloud computing

The rise in adoption of mobile cloud computing (MCC) has increased the security concerns and this fact has motivated security practitioners to consider novel lightweight authentication approaches in order to improve the authentication as a service (AaaS). Indeed, the authentication process has a direct e ect on client's perception of trust and therefore the authentication method is required to be robust and easy to use simultaneously. In this paper, we have proposed virtual port knocking authentication method which uses port knocking to authenticate users by using the closed port. Moreover, it employs the virtualization concept taken into account as a constructive concept in MCC to enhance the performance which is a ected by long length of knock sequence in the basic port knocking. The statistical results indicate that the proposed method o ers an acceptable level of security calculated based on the probability of hacking. The empirical results indicate that the imposed bu ering load to the cloud gateway is decreased around 4% for the short length knock sequence while, the enhancement is about 12% in case of using the long knock sequence.
Conflict Resolution Styles as Mediators of Female Childhood Sexual Abuse Experience and Couple Relationship Satisfaction and Stability in Adulthood

Conflict Resolution Styles as Mediators of Female Childhood Sexual Abuse Experience and Couple Relationship Satisfaction and Stability in Adulthood Ashlee E. Sloan School of Family Life, BYU Master of Science Post-traumatic stress theory applied to the experience of female incestuous childhood sexual abuse survivors (ICSA) suggests that the trauma may result in negative psychological consequences affecting relationships in adulthood. This study sought to explore the relational consequences of ICSA, specifically focusing on conflict resolution styles (CRS), relationship satisfaction, and relationship stability. This research used data from the RELATionship Evaluation questionnaire. Participants included 487 heterosexual couples in which only the female partner experienced ICSA compared to a comparison group of 1827 couples in which neither partner experienced ICSA. Analyses tested for differences in the frequencies of reported CRS (Gottman 1994) for ICSA and non-ICSA groups. A path analysis also explored the mediating effects of CRS on the relationship between ICSA, and self and partner reported relationship satisfaction and stability. Significant differences in the reports of types of CRS were found for ICSA versus non-ICSA groups. Path analysis showed that although ICSA and CRS were negatively related to relationship satisfaction and stability, the mediating effects of CRS types were not found. Ways clinicians may want to focus on CRS when treating couples reporting low relationship satisfaction are discussed.
Multiple use of public rangeland: antelope and stocker cattle in Wyoming.

The government must manage public rangeland in the face of alternative multiple use interests, including wildlife and domestic livestock production. The objectives of this study were to estimate a production possibilities frontier for antelope (Antilocapra americana (Ord)) and stocker cattle on the Wyoming Red Desert and then evaluate the most economical combination for the specific production and price assumptions used in the analysis. Nine antelope-steer combinations were derived by using a linear programming model to maximize total number of animals subject to annual forage production on a representative 405-ha range site. The resulting 9 combinations included 72 head of antelope with no steers at one extreme and 35 head of stocker steers with no antelope at the other extreme, with various combinations of each in between. Because of the different forage preferences of antelope (primarily browse) and cattle (primarily grass), the marginal rates of substitution of cattle for antelope varied widely along the production possibilities frontier. Specifically, the marginal rate of substitution of cattle for antelope was very low moving from 72 antelope-0 steers, to 69 antelope-29 steers, in terms of sacrificing only a few antelope (3) in exchange for a comparatively large number of steers (29). Conversely, the marginal rate of substitution of cattle for antelope moving from 69 antelope-29 steers, to 0 antelope-35 steers was very high in terms of sacrificing a relatively large number of antelope (69) in exchange for only a few additional steers (6). This wide range of substitution rates suggests that economic benefits from antelope and cattle would have to be extremely different before "multiple use" is not preferred in the case study setting.
Quantum simulations of relativistic quantum physics in circuit QED

We present a scheme for simulating relativistic quantum physics in circuit quantum electrodynamics. By using three classical microwave drives, we show that a superconducting qubit strongly coupled to a resonator field mode can be used to simulate the dynamics of the Dirac equation and Klein paradox in all regimes. Using the same setup we also propose the implementation of the Foldy–Wouthuysen canonical transformation, after which the time derivative of the position operator becomes a constant of the motion.
Western equatorial African forest-savanna mosaics: a legacy of late Holocene climatic change?

Abstract. Past vegetation and climate changes reconstructed using two pollen records from Lakes Maridor and Nguene, located in the coastal savannas and inland rainforest of Gabon, respectively, provide new insights into the environmental history of western equatorial African rainforests during the last 4500 cal yr BP. These pollen records indicate that the coastal savannas of western equatorial Africa did not exist during the mid-Holocene and instead the region was covered by evergreen rainforests. From ca. 4000 cal yr BP a progressive decline of inland evergreen rainforest, accompanied by the expansion of semi-deciduous rainforest, occurred synchronously with grassland colonisation in the coastal region of Gabon. The contraction of moist evergreen rainforest and the establishment of coastal savannas in Gabon suggest decreasing humidity from ca. 4000 cal yr BP. The marked reduction in evergreen rainforest and subsequent savanna expansion was followed from 2700 cal yr BP by the colonization of secondary forests dominated by the palm, Elaeis guineensis, and the shrub, Alchornea cordifolia (Euphorbiaceae). A return to wetter climatic conditions from about 1400 cal yr BP led to the renewed spread of evergreen rainforest inland, whereas a forest-savanna mosaic still persists in the coastal region. There is no evidence to suggest that the major environmental changes observed were driven by human impact.
Error analysis for a diffraction grating interferometric stylus probing system

A prototype of a stylus probe with an interferometric transducer for surface profiling and roughness measurement was recently developed for surface texture, form error, radius, inclination and dimension measurement. A reflective cylindrical holographic diffraction grating fabricated into cylindrical shape, referred to as the `length master', acts as the moving part governing the path length of light. The surface profile information was transformed into electrical signals using a laser diode grating interferometer to measure the rotational motion of the measuring lever. To precisely define the performance capability of the system, error analysis was performed in order to assess the potential measuring error due to imperfections in manufacturing and assembly of the system's mechanical components. The uncertainty relating to the construction of the device, geometrical features, operating environment and optical characteristics is also presented.
Shadow Generation in Mixed Reality: A Comprehensive Survey

ABSTRACT This paper provides an overview of the issues and techniques involved in shadow generation in mixed reality environments. Shadow generation techniques in virtual environments are explained briefly. The key factors characterizing the well-known techniques are described in detail and the pros and cons of each technique are discussed. The conceptual perspective, the improvements, and future techniques are also investigated, summarized, and analysed in depth. This paper aims to provide researchers with a solid background on the state-of-the-art implementation of shadows in mixed reality. Thus, this could make it easier to choose the most appropriate method to achieve the aims. It is also hoped that this analysis will help researchers find solutions to the problems facing each technique.
Identification of yeasts associated with the fermented fish, adjuevan, of Ivory Coast by using the molecular technique of PCR-denaturing gradient gel electrophoresis (DGGE)

Diversity of yeasts was investigated by using a molecular technique employing variable regions of 26S rDNA profiles generated by PCR-denaturing gradient gel electrophoresis (DGGE) in the salted and fermented traditional fish named "adjuevan". This fermented fish was produced in Ivory Coast at ambient temperature (28 to 30°C) following two traditional fermentation methods. Fermentation according to Method 1 was made in jars covered with plastics and stones for 5 days then dried for three days on racks or nets. For Method 2, fermentation and fish drying took place on racks or nets simultaneously for at least 10 days. PCR-DGGE and DNA sequencing was used to compare yeasts from both methods of production, and they were identified as Kluyveromyces marxianus, Hansenula anomala, Saccharomyces cerevisiae, Candida tropicalis, Candida zeylanoides, Pichia fermentans, Debaromyces hansenii, Hanseniaspora osmophilic, and Rhodotorula glutinis which had not been previously described in fermented fish. Yeast diversity was higher for Method 1, while the predominance strains of Debaromyces sp. and Candida sp. with Kluyveromyces sp. were higher for Method 2. This study showed the presence of yeast species and their participation in the fermentation of adjuevan. D. Hansenii and K. marxianus could be used as starter cultures for the standardisation of the fermented fish, adjuevan. (Resume d'auteur)
Ownership structure and total factor productivity: differences across industries in Croatia

Factors explaining productivity growth include internal and external categories, such as quality of management and labour, product innovation and competition. However, ownership structure is rarely mentioned as a potential factor for impacting productivity growth. On the other hand, it is often assumed that private firms are more productive than state- owned, the argument frequently additionally emphasized in the public discussions in (post)transition economies. Since aggregate data hides developments in individual sectors, it is important to investigate the relationship between ownership and productivity on the industry level. Hence, in this article we investigate trends in productivity related to the ownership structure across industries using data for Croatia both during the boom and recession phase. Results show higher increases in productivity in the observed period in the public, not private, sector and that TFP path at the sectoral level in the state-owned firms is more erratic than in the private segment of the economy.
Simulations of NBI-ICRF synergy with the full-wave TORIC package

During the combined plasma heating with neutral beam injection (NBI) and waves in the ion cyclotron (IC) range of frequencies, the NBI fast ions are preferentially accelerated by IC waves close to the IC harmonics, as a consequence of finite Larmor radius (FLR) effects. Since the NBI fast ions are expected to have a strong influence on the wave absorption and propagation, we have implemented a NBI source in the quasilinear Fokker‐Planck SSFPQL code, interfaced with the toroidal full‐wave TORIC solver. In this implementation the NBI ionization sources are obtained from the output of a Monte Carlo code, such as FAFNER. The numerical scheme adopted in the TORIC‐SSFPQL package allows to describe very anisotropic sources, such as NBI, and to iterate the solution of Maxwell’s equation taking into account selfconsistently the fast ion tails. As a first application, we present modeling of an ASDEX‐Upgrade discharge with combined NBI and ICRF heating.
Targeted homing of CCR2-overexpressing mesenchymal stromal cells to ischemic brain enhances post-stroke recovery partially through PRDX4-mediated blood-brain barrier preservation

Rationale: Mesenchymal stromal cells (MSCs) are emerging as a novel therapeutic strategy for the acute ischemic stroke (AIS). However, the poor targeted migration and low engraftment in ischemic lesions restrict their treatment efficacy. The ischemic brain lesions express a specific chemokine profile, while cultured MSCs lack the set of corresponding receptors. Thus, we hypothesize that overexpression of certain chemokine receptor might help in MSCs homing and improve therapeutic efficacy. Methods: Using the middle cerebral artery occlusion (MCAO) model of ischemic stroke, we identified that CCL2 is one of the most highly expressed chemokines in the ipsilateral hemisphere. Then, we genetically transduced the corresponding receptor, CCR2 to the MSCs and quantified the cell retention of MSCCCR2 compared to the MSCdtomato control. Results: MSCCCR2 exhibited significantly enhanced migration to the ischemic lesions and improved the neurological outcomes. Brain edema and blood-brain barrier (BBB) leakage levels were also found to be much lower in the MSCCCR2-treated rats than the MSCdtomato group. Moreover, this BBB protection led to reduced inflammation infiltration and reactive oxygen species (ROS) generation. Similar results were also confirmed using the in vitro BBB model. Furthermore, genome-wide RNA sequencing (RNA-seq) analysis revealed that peroxiredoxin4 (PRDX4) was highly expressed in MSCs, which mainly contributed to their antioxidant impacts on MCAO rats and oxygen-glucose deprivation (OGD)-treated endothelium. Conclusion: Taken together, this study suggests that overexpression of CCR2 on MSCs enhances their targeted migration to the ischemic hemisphere and improves the therapeutic outcomes, which is attributed to the PRDX4-mediated BBB preservation.
Connectionist Temporal Classification with Maximum Entropy Regularization

Connectionist Temporal Classification (CTC) is an objective function for end-to-end sequence learning, which adopts dynamic programming algorithms to directly learn the mapping between sequences. CTC has shown promising results in many sequence learning applications including speech recognition and scene text recognition. However, CTC tends to produce highly peaky and overconfident distributions, which is a symptom of overfitting. To remedy this, we propose a regularization method based on maximum conditional entropy which penalizes peaky distributions and encourages exploration. We also introduce an entropy-based pruning method to dramatically reduce the number of CTC feasible paths by ruling out unreasonable alignments. Experiments on scene text recognition show that our proposed methods consistently improve over the CTC baseline without the need to adjust training settings. Code has been made publicly available at: https://github.com/liuhu-bigeye/enctc.crnn.
Proximate determinants of bite force capacity in the mouse lemur

Both mating system and diet are thought to drive inter-individual variation in bite force. Although previously published data suggest that bite force variation may be driven by variation in morphology (e.g. head morphology, body size, muscle size), age and physiology (e.g. fluctuating plasma testosterone levels) in some vertebrates , this remains untested in primates. Here, we explore the proximal determinants of bite force capacity in the grey mouse lemur Microcebus murinus. Our results show that in male grey mouse lemurs, bite force measurements are repeat-able across a 1-month period. Yet, bite forces were independent of fluctuation plasma testosterone levels. Head dimensions and body mass were all positively correlated with bite force. Among these, head width was the best predictor of bite force as has been observed for other vertebrates. Unexpectedly, age was highly significantly and positively correlated with bite force. Whereas older animals generally bit harder, the oldest age group (5.5 years) showed a decline in bite force capacity. These results suggest that bite force in the grey mouse lemur is mostly determined by morphology and age, yet is independent of variation in testoster-one. Future studies including a broader age range and animals of different sexes would be of interest to better understand the variation in bite force in this small lemur.
Decimal Point : Designing and Developing an Educational Game to Teach Decimals to Middle School Students

Research shows that U.S. students are falling behind in mathematics. Concurrently, computer and video games transfix students. Unfortunately, little academic content is typically presented in such games. Researchers have seized the opportunity to develop educational games, a promising new area of research exploring learning and motivational benefits. We are designing, developing, and evaluating an educational game that explores how erroneous examples can help middle school students learn decimals. Erroneous examples are an instructional technique for learning mathematics that show step-by-step examples of how to solve problems in which one or more of the steps are incorrect. These types of examples have recently been investigated within educational technology as a means for instructing students on mathematics, with promising learning results. The puzzle-like challenge of erroneous examples – finding and correcting errors – meshes nicely with the concept of game playing. Our game, “Decimal Point, the Fantastically Fabulous World of Fractional Fun,” is based on an amusement park metaphor. Players travel to different areas in the park and play a variety of short web-based computer games to learn about decimals. Players watch different fantasy characters play the games and make common errors in erroneous example mode. The students are prompted to find the errors, and also to self explain and fix them. In direct play mode, a student plays the game him or herself. Prompted self-explanation questions support the student’s conceptual understanding of decimals. This paper presents a detailed view of our game design process, which follows from the nascent literature on developing educational games. Our goal is to present a consolidated view of our process so that we – and others – can leverage and build on it in the future.
Relationship between inflation rate and economic growth rate of Southeast Asian countries

This paper analyses the Panel Granger-causality relationship between GDP growth rate and inflation rate. Using Quaterly data for 5 South-East Asian Countries from 2nd quarter in 1997- 4th quarter in 2011, we conclude that there is clear Granger causality between GDP growth rate and inflation rate and it is one-directional. In addition, Our finding point to positive relationship between GDP growth rate and inflation rate. This result has important policy implications GDP growth rate influences the evolution of inflation rate.
Swift Two-sample Test on High-dimensional Neural Spiking Data.

To understand how neural networks process information, it is important to investigate how neural network dynamics varies with respect to different stimuli. One challenging task is to design efficient statistical approaches to analyze multiple spike train data obtained from a short recording time. Based on the development of high-dimensional statistical methods, it is able to deal with data whose dimension is much larger than the sample size. However, these methods often require statistically independent samples to start with, while neural data are correlated over consecutive sampling time bins. We develop an approach to pretreat neural data to become independent samples over time by transferring the correlation of dynamics for each neuron in different sampling time bins into the correlation of dynamics among different dimensions within each sampling time bin. We verify the method using simulation data generated from Integrate-and-fire neuron network models and a large-scale network model of primary visual cortex within a short time, e.g., a few seconds. Our method may offer experimenters to use the advantage of the development of statistical methods to analyze high-dimensional neural data.
AIS Electronic

The usage of IT Service Management frameworks such as ITIL has been on the rise. While there has been some research into the benefits that these frameworks provide, there has been no theoretical basis explaining why companies achieve these benefits. Taking a Knowledge-Based View of the firm provides an understanding of why organizations are able to create knowledge when implementing the frameworks. This research helps illustrate how IT Service Management frameworks can help in the knowledge integration process. Implications for practitioners and researchers are also discussed.
Service employees and self-verification: The roles of occupational stigma consciousness and core self-evaluations

Despite the growing number and importance of service occupations, we know little about how jobholders’ perceptions of societal stigmas of service jobs influence their identification with and attitudes towards work. The present study presents a framework that accords key roles to research on occupational stigma consciousness and the verification of employees’ self-views (i.e. core self-evaluations) to understand employees’ responses to occupational stigmatization. Survey responses from call center employees revealed a negative relationship between occupational stigma consciousness and occupational identification and work meaningfulness and a positive relationship between occupational stigma consciousness and organizational production deviant behaviors for employees who have a positive self-view. Opposite patterns of results surfaced for employees who have a lower positive self-view.
Position Control of a Quadrotor Using State Transformation Technique

In this paper, we propose a state transformation technique for the position control of a quadrotor. First, we derive the dynamics of a quadrotor using the Newton-Euler formulation. Second, we present a state transformation technique to derive the position dynamics of a quadrotor. Then, we present backstepping based position control of a quadrotor. The stability analysis based on Lyapunov theorem shows that the proposed control method can realize a quadrotor system that is asymptotically stabilized. Finally, we verify the performance of the proposed position control method through the comparison simulations. 