Miracle-dz/UniFAR-FTUs huggingface dataset:
A T2T-Based Offloading Method: Virtual Bank With Movement Prediction

Rapid developments in network technologies and mobile devices improve our lives, but the resultant fast-growing traffic leads to a lack of cellular network resources and breaks the balance between profit and costs for network providers. Data offloading can relieve the loads on network infrastructure and shift data to a complementary wireless technology, thereby increasing maximum throughput and extending network coverage. In this paper, we propose a terminal-to-terminal-based offloading method called Virtual Bank with movement prediction (VBMP), which uses an opportunistic network to achieve offloading. We establish a virtual trading system to manage information transmission. Meanwhile, node movement prediction and node subset selection via a submodular function are used to select the relay nodes and to discover the dynamic topology of mobile nodes. Theoretical analysis and simulation results demonstrate that VBMP effectively improves data offloading.
Ranking Generative Adversarial Networks: Subjective Control over Semantic Image Attributes

In this paper, we investigate the use of generative adversarial networks in the task of image generation according to subjective measures of semantic attributes. Unlike the standard (CGAN) that generates images from discrete categorical labels, our architecture handles both continuous and discrete scales. Given pairwise comparisons of images, our model, called RankCGAN, performs two tasks: it learns to rank images using a subjective measure; and it learns a generative model that can be controlled by that measure. RankCGAN associates each subjective measure of interest to a distinct dimension of some latent space. We perform experiments on UT-Zap50K, PubFig and OSR datasets and demonstrate that the model is expressive and diverse enough to conduct two-attribute exploration and image editing.
A Method for Identifying Critical Elements of a Cyber-Physical System Under Data Attack

In this paper, we use hyper-network methods to identify the critical elements of a cyber-physical system (CPS) under data attack according to IEC 61850. The related works are introduced first, such as cyber offensive tools, procedures, and data attack models. Some definitions of a hypergraph are presented. Then, considering the functional attributes of logical nodes, a hyper-network model of substation auto system (SAS) is proposed using hyper-graph theory. On this basis, a CPS model that takes into account the functional influence after data attack is established. In addition, combined with the analysis of the network model, the efficiency indexes are given to evaluate the effectiveness of the CPS under data attack. The reasons why we choose these indexes in network and hyper-network model are also explained. Finally, the analysis in the case study illustrates that the method proposed is helpful for identifying critical elements of the CPS, which provides a new avenue for future vulnerability analysis research.
NURSING DIAGNOSES AND INTERVENTIONS FOR PATIENTS WITH GRAFT-VERSUS-HOST DISEASE SUBMITTED TO HEMATOPOIETIC STEM CELL TRANSPLANTATION

3 ABSTRACT: The objective was to identify the main nursing diagnoses and interventions described by the North American Nursing Diagnosis Association and Nursing Intervention Classification for patients with graft-versus-host disease submitted to allogeneic hematopoietic stem cell transplantation. A descriptive and exploratory study with a quantitative approach was undertaken. Data were collected from 30 patients at a bone marrow transplantation service of a large private hospital in the city of Sao Paulo. Nine main diagnoses were identified, in accordance with the North American Nursing Diagnosis Association. Eleven nursing interventions were proposed, based on the Nursing Interventions Classification, besides 40 activities. The main diagnoses, outcomes and interventions/ activities were considered, formulated for more than 50% of the study participants. This study permitted the identification and selection of nursing diagnoses and interventions, with their respective activities, to be applied in clinical practice, aiming to support the care process and knowledge about the nursing taxonomies. DESCRIPTORS: Graft-versus-host disease; Bone marrow transplantation; Nursing processes.
Supporting Mobile VR in LTE Networks

Mobile virtual reality (VR) headsets (e.g., Google Cardboard and Samsung Gear VR) seek to offer "anytime, anywhere" panorama, immerse 3D experiences for users. In this work, we study the viability of supporting mobile VR over operational 4G LTE networks, where the device provides pose information to the edge servers to offload graphical processing. We find that, contrary to common perceptions, wireless bandwidth is not the latency bottleneck for medium-quality VR. Instead, the signaling operations, which facilitate wireless data delivery, constitute a bulk portion of the latency. We report findings that challenge five common beliefs on VR network latency in LTE under both static and mobile scenarios, and quantify their impact. We design LTE-VR, a client-side solution to medium-quality VR over LTE. LTE-VR leverages cross-layer design and rich side channel information to reduce various latency sources in the signaling operations. Our prototype evaluation has confirmed its viability in 4G LTE. We discuss its applicability to the upcoming 5G.
Laser and Optical Flow Fusion for a Non-Intrusive Obstacle Detection System on an Intelligent Wheelchair

In this paper, a method to combine a low-cost 16 beam solid state laser sensor and a conventional video camera for obstacle detection is presented. The system is intended to form a non-intrusive virtual barrier at both sides of an intelligent wheelchair, in order to protect the user in everyday outdoor and indoor environments, like office, home, or pedestrian areas. In this type of environments, the shape of the obstacles is very heterogeneous (for instance, having a variable width along their height), so their detection via the conventional sensors installed in the wheelchair presents difficulties, especially in the most exposed areas of the user that are the sides of their torso. With the proposed system, when an obstacle intersects a beam, the intersection point is projected in the associated image and optical flow is calculated at both sides of this point. Using the optical flow, several classifiers have been trained and tested in order to automatically discern between intersections produced by the user and those produced by external obstacles. Results show that the method accurately detects the presence of obstacles and the direction of their movement.
Changes in non-occupational sedentary behaviours across the retirement transition: the Finnish Retirement and Aging (FIREA) study

Background Retirement is a major life transition which may influence health behaviours and time use. Little is known about how sedentary behaviour changes as a result of increased time availability after retirement. The aim of this study was to examine changes in non-occupational sedentary behaviours across the retirement transition. In addition, we examined which preretirement characteristics were associated with these changes. Methods The study population consisted of 2011 participants from the Finnish Retirement and Aging Study. Repeated postal survey including questions on sedentary behaviour domains (television viewing, computer use at home, sitting in a vehicle and other sitting) were conducted once a year across the retirement transition, covering on average 3.4 study waves. Linear regression with generalised estimating equations was used for the analyses. Results Total sedentary time increased by 73 (95% CI 66 to 80) min/day during the retirement transition. Of the domain-specific sedentary behaviours, television viewing time increased by 28 (95% CI 25 to 32) min/day, computer use at home by 19 (95% CI 17 to 22) min/day and other sitting time by 37 (95% CI 33 to 41) min/day, while time sitting in a vehicle decreased by 6 (95% CI 4 to 9) min/day. Highest increase in total sedentary time was among women and persons who had high occupational sitting time, low physical activity level, sleep difficulties, mental disorders or poor health before retirement (all p values for interaction <0.03). Conclusion Total and domain-specific sedentary time, except sitting in a vehicle, increased during the retirement transition.
Manipulation of Light Signal Transduction Factors as a Means of Modifying Steroidal Glycoalkaloids Accumulation in Tomato Leaves

Steroidal glycoalkaloids (SGAs) are cholesterol-derived specialized metabolites produced by Solanaceous plant species. They contribute to pathogen defense but are considered as anti-nutritional compounds and toxic to humans. Although the genes involved in the SGA biosynthetic pathway have been successfully cloned and identified, transcription factors regulating this pathway are still poorly understood. We report that silencing tomato light signal transduction transcription factors ELONGATED HYPOCOTYL 5 (SlHY5) and PHYTOCHROME INTERACTING FACTOR3 (SlPIF3), by virus-induced gene silencing (VIGS), altered glycoalkaloids levels in tomato leaves compared to control plant. Electrophoretic mobility shift assay (EMSA) and Chromatin immunoprecipitation (ChIP) analysis confirmed that SlHY5 and SlPIF3 bind to the promoter of target genes of GLYCOALKALOID METABOLISM (GAME1, GAME4, GAME17), affecting the steady-state concentrations of transcripts coding for SGA pathway enzymes. The results indicate that light-signaling transcription factors HY5 and PIF3 regulate the abundance of SGAs by modulating the transcript levels of these GAME genes. This insight into the regulation of SGA biosynthesis can be used for manipulating the level of these metabolites in crops.
Scalable Sentiment for Sequence-to-Sequence Chatbot Response with Performance Analysis

Conventional seq2seq chatbot models only try to find the sentences with the highest probabilities conditioned on the input sequences, without considering the sentiment of the output sentences. Some research works trying to modify the sentiment of the output sequences were reported. In this paper, we propose five models to scale or adjust the sentiment of the chatbot response: persona-based model, reinforcement learning, plug and play model, sentiment transformation network and cycleGAN, all based on the conventional seq2seq model. We also develop two evaluation metrics to estimate if the responses are reasonable given the input. These metrics together with other two popularly used metrics were used to analyze the performance of the five proposed models on different aspects, and reinforcement learning and cycleGAN were shown to be very attractive. The evaluation metrics were also found to be well correlated with human evaluation.
Aging, cognition, and the brain: effects of age-related variation in white matter integrity on neuropsychological function

ABSTRACT Alterations in brain structure are viewed as neurobiological indicators which are closely tied to cognitive changes in healthy human aging. The current study used diffusion tensor imaging (DTI) tractography to investigate the relationship between age, brain variation in white matter (WM) integrity, and cognitive function. Sixteen younger adults (aged 20–28 years) and 18 healthy older adults (aged 60–75 years) underwent DTI scanning and a standardized battery of neuropsychological measures. Behaviorally, older adults exhibited poorer performance on multiple cognitive measures compared to younger adults. At the neural level, the effects of aging on theWM integrity were evident within interhemispheric (the anterior portion of corpus callosum) and transverse (the right uncinate fasciculus) fibers of the frontal regions, and the cingulum-angular fibers. Our correlation results showed that age-related WM differentially influenced cognitive function, with increased fractional anisotropy values in both the anterior corpus callosum and the right cingulum/angular fibers positively correlated with performance on the visuospatial task in older adults. Moreover, mediation analysis further revealed that the WM tract integrity of the frontal interhemspheric fibers was a significant mediator of age–visuospatial performance relation in older adults, but not in younger adults. These findings support the vulnerability of the frontal WM fibers to normal aging and push forward our understanding of cognitive aging by providing a more integrative view of the neural basis of linkages among aging, cognition, and brain.
Dietary Changes and Gut Dysbiosis in Children With Type 1 Diabetes

ABSTRACT Objective: Gut dysbiosis in type 1 diabetes (T1D), characterized by high Bacteroides proportion, tends to reverse as T1D progresses, without reaching full recovery. Since diet influences microbiota structure, the aim was to evaluate the impact of dietary changes on Bacteroides proportion the first year of T1D evolution. Methods: Dietary intake was assessed by 24-hour recalls and Bacteroides proportion by quantitative polymerase chain reaction, in 10 Mexican children (11.6 ± 1.92 years) with T1D at baseline and 3, 6 and 9 months' follow-up. Repeated measures analysis of variance and multiple linear regression were performed to compare ingested nutrients in relation with Bacteroides proportion. Effects over time were evaluated by mixed regression models. Results: Patients with T1D decreased their energy (2621.89 to 1867.85 kcal, p = 0.028), protein (83.06 to 75.17 g, p = 0.012), and saturated fat consumption (40.83 to 25.23 g, p = 0.031) from baseline to 3 months, without posterior changes. Bacteroides proportion increased in the first months and tended to decrease at around 9 months (p > 0.05) and was positively correlated with saturated fat (β = 3.70, p = 0.009) and total carbohydrates (β = 0.73, p = 0.005) at 3 months. Carbohydrate consumption was related to decreased Bacteroides abundance over time (β = −14.9, p = 0.004), after adjusting for glycosylated hemoglobin. Conclusions: Besides autoimmunity, diet appears to have a central role determining the T1D-associated dysbiosis evolution.
Completeness of Cyclic Proofs for Symbolic Heaps

Separation logic is successful for software verification in both theory and practice. Decision procedure for symbolic heaps is one of the key issues. This paper proposes a cyclic proof system for symbolic heaps with general form of inductive definitions, and shows its soundness and completeness. The decision procedure for entailments of symbolic heaps with inductive definitions is also given. Decidability for entailments of symbolic heaps with inductive definitions is an important question. Completeness of cyclic proof systems is also an important question. The results of this paper answer both questions. The decision procedure is feasible since it is nondeterministic double-exponential time complexity.
Threshold and Revocation Encryptions via Threshold Trapdoor Function

We introduce a cryptographic primitive named threshold trapdoor function (TTDF), from which we give generic constructions of threshold and revocation encryptions under adaptive corruption model. Then, we show TTDF can be instantiated under the decisional Diffie-Hellman (DDH) assumption and the learning with errors (LWE) assumption. By combining the instantiations of TTDF with the generic constructions, we obtain threshold and revocation encryptions which compare favorably over existing schemes. The experimental results show that our proposed schemes are practical.
Anchoring calcium carbonate on graphene oxide reinforced with anticorrosive properties of composite epoxy coatings

Calcium carbonate nanoparticles (nano-CaCO3) anchored graphene oxide (GO) sheet nanohybrids (GO-CaCO3) are fabricated, and their structure can be measured by scanning electron microscope, transmission electron microscopy, X-ray photoelectron spectroscopy, X-ray diffraction and Fourier-transform infrared spectroscopy analysis. Afterwards, composite epoxy coatings, filled with GO and GO-CaCO3 nanohybrids, are prepared via a curing process. The dispersion and anticorrosive properties of composite epoxy coatings are investigated. The results reveal that GO-CaCO3 nanohybrids achieve a homogeneous dispersion as well as reinforce corrosion resistance of epoxy coatings. Furthermore, the anticorrosive mechanisms are tentatively proposed for the GO-CaCO3/epoxy coatings. Copyright © 2016 John Wiley & Sons, Ltd.
Mediation of the relationship between callous-unemotional traits and proactive aggression by amygdala response to fear among children with conduct problems.

IMPORTANCE Among youths with conduct problems, callous-unemotional (CU) traits are known to be an important determinant of symptom severity, prognosis, and treatment responsiveness. But positive correlations between conduct problems and CU traits result in suppressor effects that may mask important neurobiological distinctions among subgroups of children with conduct problems. OBJECTIVE To assess the unique neurobiological covariates of CU traits and externalizing behaviors in youths with conduct problems and determine whether neural dysfunction linked to CU traits mediates the link between callousness and proactive aggression. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional case-control study involved behavioral testing and neuroimaging that were conducted at a university research institution. Neuroimaging was conducted using a 3-T Siemens magnetic resonance imaging scanner. It included 46 community-recruited male and female juveniles aged 10 to 17 years, including 16 healthy control participants and 30 youths with conduct problems with both low and high levels of CU traits. MAIN OUTCOMES AND MEASURES Blood oxygenation level-dependent signal as measured via functional magnetic resonance imaging during an implicit face-emotion processing task and analyzed using whole-brain and region of interest-based analysis of variance and multiple-regression analyses. RESULTS Analysis of variance revealed no group differences in the amygdala. By contrast, consistent with the existence of suppressor effects, multiple-regression analysis found amygdala responses to fearful expressions to be negatively associated with CU traits (x = 26, y = 0, z = -12; k = 1) and positively associated with externalizing behavior (x = 24, y = 0, z = -14; k = 8) when both variables were modeled simultaneously. Reduced amygdala responses mediated the relationship between CU traits and proactive aggression. CONCLUSIONS AND RELEVANCE The results linked proactive aggression in youths with CU traits to hypoactive amygdala responses to emotional distress cues, consistent with theories that externalizing behaviors, particularly proactive aggression, in youths with these traits stem from deficient empathic responses to distress. Amygdala hypoactivity may represent an intermediate phenotype, offering new insights into effective treatment strategies for conduct problems.
Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency

This article describes the technical challenges that have to be met when implementing the interesting new technology of spectrum pooling. This notion represents the coexistence of two mobile radio systems within the same frequency range. It enables the secondary utilization of already licensed frequency bands as aimed at by several regulatory authorities worldwide. The goal of spectrum pooling is to enhance spectral efficiency by overlaying a new mobile radio system on an existing one without requiring any changes to the actual licensed system. Several demanding tasks originate from this idea. Some of them have been solved in recent research projects. Others are subject to ongoing investigations. Here, the state of the art in spectrum pooling is presented.
Lipid Nanoparticulate Drug Delivery Systems: A Revolution in Dosage Form Design and Development

© 2012 Attama et al., licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Lipid Nanoparticulate Drug Delivery Systems: A Revolution in Dosage Form Design and Development
The occupant comfort challenge of building energy savings through HVAC control

Building energy efficiency improvements are often achieved by using a building automation system (BAS) to control the environmental and comfort conditions in a building, especially the climate (i.e., temperature, humidity, etc.). The traditional method for achieving energy savings through temperature control is by scheduling the heating, ventilation and air conditioning (HVAC) units using the BAS. Care must be taken to ensure that energy savings are achieved without sacrificing occupant comfort, but validating comfort is a challenge, and metrics for comfort are generally chosen ad hoc in the development of HVAC controls. This paper explores HVAC control methods and the potential impact they may have on comfort; approaches to quantifying comfort; and research directions that may provide solutions to the comfort problem.
Mechanical Properties of Ni-Coated Single Graphene Sheet and Their Embedded Aluminum Matrix Composites

The effects of Ni coating on the mechanical behaviors of single graphene sheet and their embedded Al matrix composites under axial tension are investigated using molecular dynamics (MD) simulation method.The results show that the Young's moduli and tensile strength of graphene obviously decrease after Ni coating.The results also show that the mechanical properties of Al matrix can be obviously increased by embedding a single graphene sheet.From the simulation,we also find that the Young's modulus and tensile strength of the Ni-coated graphene/Al composite is obviously larger than those of the uncoated graphene/Al composite.The increased magnitude of the Young's modulus and tensile strength of graphene/A1 composite are 52.27% and 32.32% at 0.01 K,respectively,due to Ni coating.By exploring the effects of temperature on the mechanical properties of single graphene sheet and their embedded A1 matrix composites,it is found that the higher temperature leads to the lower critical strain and tensile strength.
Inverse Estimation of Effective Moisture Diffusivity in Lumber during Drying Using Genetic Algorithms

This article presents a methodology based on genetic algorithms (GA) optimization with a three-dimensional numerical solution to the diffusion model obtained by using the finite volume method (FVM) for determining the effective moisture diffusivity in lumber. The objective or error function between measured and simulated drying curves was obtained, and the effective moisture diffusivity parameters with greatest correspondence between measured and estimated values were obtained. As a result, a new equation for effective moisture diffusivity was proposed, which depends on lumber moisture content and drying temperature. Effective moisture diffusivities ranged from 1.120 × 10-9 to 1.277 × 10-8 m2/s. Finally, the proposed coefficients were validated by experiments. The drying kinetics were successfully simulated with the optimized effective moisture diffusivity model.