Miracle-dz/UniFAR-FTUs huggingface dataset:
A Submillimeter-Wave HEMT Amplifier Module With Integrated Waveguide Transitions Operating Above 300 GHz

In this paper, we report on the first demonstration of monolithically integrated waveguide transitions in a submillimeter-wave monolithic integrated circuit (S-MMIC) amplifier module. We designed the module for a targeted frequency range of 300-350 GHz, using WR2.2 for the input and output waveguides. The waveguide module utilizes radial -plane transitions from S-MMIC to waveguide. We designed back-to-back radial probe transitions separated by thru transmission lines to characterize the module, and have incorporated the radial -plane transitions with an S-MMIC amplifier, fabricated monolithically as a single chip. The chip makes use of an S-MMIC process and amplifier design from the Northrop Grumman Corporation, Redondo Beach, CA, using 35-nm gate-length InP transistors. The integrated module design eliminates the need for wire bonds in the RF signal path, and enables a drop-in approach for minimal assembly. The waveguide module includes a channel design, which optimizes the -plane probe bandwidth to compensate for an S-MMIC width, which is larger than the waveguide dimension, and is compatible with S-MMIC fabrication and design rules. This paper demonstrates for the first time that waveguide-based S-MMIC amplifier modules with integrated waveguide transitions can be successfully operated at submillimeter-wave frequencies.
Improved Signal Processing Methods for Velocity Selective Neural Recording Using Multi-Electrode Cuffs

This paper describes an improved system for obtaining velocity spectral information from electroneurogram recordings using multi-electrode cuffs (MECs). The starting point for this study is some recently published work that considers the limitations of conventional linear signal processing methods (`delay-and-add') with and without additive noise. By contrast to earlier linear methods, the present paper adopts a fundamentally non-linear velocity classification approach based on a type of artificial neural network (ANN). The new method provides a unified approach to the solution of the two main problems of the earlier delay-and-add technique, i.e., a damaging decline in both velocity selectivity and velocity resolution at high velocities. The new method can operate in real-time, is shown to be robust in the presence of noise and also to be relatively insensitive to the form of the action potential waveforms being classified.
POSTER: Graphical password using object-based image ranking

In this paper, we propose a new graphical password using object-based image ranking, called OBIR, which enables appropriate images to be presented to users during authentication. Research on graphical password is being conducted and receiving more and more public attention due to its potential of being an alternative for textual password. However, the main problem of graphical password is its vulnerability to shoulder surfing attacks, especially on mobile devices where the login password is easily visible in public. In order to overcome this issue, we propose a novel graphical password using image ranking method based on the objects in the image itself. The higher the ranking of an image is, the more appropriate it is to be user's selection without exposing too much information of the password to the shoulder-surfer. Upon our experiments, it is obtained that our image ranking method is effective in filtering appropriate pass-image that even if it is selected in public, the password is safe and therefore resistant to shoulder surfing.
Context Approach on Mobility Management Schemes in Wireless Mesh Networks

this paper describes the proposed context mobility management schemes Current deployment of the wireless mesh networks (WMN) necessitates mobility management to support mobile clients roaming around the network without service interruption. Though Mobile IP and other previous protocols can be applied to WMNs to gain the micromobility as well as macro-mobility support, high signaling cost and long handoff latency problems still degrade the system performance significantly. Wireless Mesh Networks (WMNs) have gained increasing attention as an attractive means to provide connectivity in complement to access as offered by regular Internet Service Providers (ISPs). Such a grass-root technique, however, often suffers from detrimental operating conditions and poor quality. Network virtualization, on the other hand, has been widely advocated as a possibility to overcome what has often been referred to as the ossification of the Internet. Combining the concept of network virtualization with WMN technology, therefore, appears to be promising and desirable. It is envisioned that well managed multiple Virtual Networks (VNs) may overcome shortcomings of WMNs on the one hand, and extend the reach of the Internet beyond its current confinement into the realm and control of the user on the other hand. In this paper, we argue for a context-based approach for an effective means to extend multi-VNs from the Internet domain into WMN environments. We describe both mobility and preferences as context models in order to create virtualized WMNs based on these types of context models. As a result, it is envisioned to achieve a comprehensive connectivity coverage, accompanied by high assurance in network quality. We further present a distributed solution to manage multi-VNs, and a mobility-aware context use case to demonstrate the usefulness of our approach. It utilizes some WMN’s features and combines the perhost routing and tunneling techniques to reduce the signaling cost as well as to shorten the handoff latency. Our analysis shows that significant benefits can be achieved from this scheme.
NIF : An ontology-based and linked-data-aware NLP Interchange Format

We are currently observing a plethora of Natural Language Processing tools and services being made available. Each of the tools and services has its particular strengths and weaknesses, but exploiting the strengths and synergistically combining different tools is currently an extremely cumbersome and time consuming task. Also, once a particular set of tools is integrated this integration is not reusable by others. We argue that simplifying the interoperability of different NLP tools performing similar but also complementary tasks will facilitate the comparability of results and the creation of sophisticated NLP applications. In addition, the synergistic combination of tools might ultimately yield a boost in precision and recall for common NLP tasks. In this paper, we present the NLP Interchange Format (NIF). NIF is based on a Linked Data enabled URI scheme for identifying elements in (hyper-)texts and an ontology for describing common NLP terms and concepts. NIF aware applications will produce output (and possibly also consume input) adhering to the NIF ontology. Other than more centralized solutions such as UIMA and GATE, NIF enables the creation of heterogeneous, distributed and loosely coupled NLP applications, which use the Web as an integration platform. We evaluate the NIF approach by (1) benchmarking the stability of the NIF URI scheme and (2) providing results of a field study, where we integrated 6 diverse NLP tools using NIF wrappers.
Serum 25-Hydroxyvitamin D Concentration Is Independently Inversely Associated with Insulin Resistance in the Healthy, Non-Obese Korean Population

Background We evaluated the associations between 25-hydroxyvitamin D (25(OH)D) concentrations in serum and insulin resistance in the healthy Korean population. Methods We conducted this cross-sectional analysis in 1,807 healthy Korean people (628 men and 1,179 women) aged 30 to 64 years in the Cardiovascular and Metabolic Disease Etiologic Research Center study. All participants were assessed for 25(OH)D, fasting glucose, and insulin levels, and completed a health examination and lifestyle questionnaire according to standard procedures. Insulin resistance was defined as the homeostasis model assessment insulin resistance higher than the 75 percentile. Results Compared to those in the highest tertile (≥14.3 ng/mL), the odds ratio (OR) for insulin resistance was 1.37 (95% confidence interval [CI], 1.01 to 1.86) for the 1st tertile (<9.7 ng/mL) and 1.19 (95% CI, 0.08 to 1.62) for the 2nd tertile (9.7 to 14.3 ng/mL) after adjusting for age, gender, waist circumference, alcohol consumption, smoking status, physical exercise, season, and cohort. After stratification of the subjects by adiposity, these associations remained only in non-obese subjects (lowest tertile vs. highest tertile, multivariable OR, 1.64; 95% CI, 1.05 to 2.56). Conclusion Serum 25(OH)D has an independent inverse association with insulin resistance in the healthy, non-obese Korean population, even among people with vitamin D insufficiency.
Extending Mobile Cloud Platforms Using Opportunistic Networks: Survey, Classification and Open Issues

With the tremendous growth of mobile devices, e.g, smartphones, tablets and PDAs in recent years, people are looking for more advanced platforms in order to use their computational applications (e.g., processing and storage) in a faster and more convenient way. In addition, mobile devices are capable of using cloud-based applications and the use of such technology is growing in popularity. However, one major concern is how to efficiently access these cloud-based applications when using a resource-constraint mobile device. Because it requires a continuous Internet connection which is difficult to obtain in challenged environments that lack an infrastructure for communication (e.g., in sparse or rural areas) or areas with infrastructure (e.g., urban or high density areas) with restricted/full of interference access networks and even areas with high costs of Internet roaming. In these situations the use of opportunistic networks may be extended to avail cloud-based applications to the user. In this paper we explore the emergence of extending mobile cloud platforms using opportunistic networks. The motivation of this paper is twofold. First, we classify the available mobile cloud architectures according to their intent, the way they deliver services, and survey the state of the art research and issues related to their performance (e.g., battery power, storage capacity, bandwidth utilisation), environments (e.g., heterogeneity of networks, user’s collaborations), robustness (e.g., scalability and availability of resources) and efficiency (e.g., context aware mobile services, access costs, energy consumption). Second, we devise a new ‘mobile-opportunistic collaborative cloud’ (MoCC) architecture which enhances mobile cloud platforms using opportunistic networks. Next, we outline the open issues and future research directions that need to be improved upon for delivering a more scalable, location-aware and context based service to the users.
Interactive simulation of virtual trees spray

Variable-rate tree spraying is one of the most important technique of precision agriculture. This paper presented an interactive virtual tree spraying method based on particle system, which gain fine control flexible through parameters such as the emitter position and pitch angle, atomizing particle, atomizing anger and spray penetration depth. We proposed a 2-hierarchy collision detection algorithm to identify the leaves with dropping particles, which speed up the simulation for about 90%. Then, we implemented the prototype system using VC++ to carry out the precision of the spray as needed.
Peripheral Augmentation Index is Associated With the Ambulatory Arterial Stiffness Index in Patients With Hypertension

Background Vascular dysfunction is highly prevalent if not ubiquitous in patients with hypertension. We compared two different measures of vascular function obtained from digital volume waveforms with measures of ventricular-vascular load derived from 24-hour blood pressure (BP) recordings in patients with hypertension. Methods Digital pulsatile volume waveforms were captured via plethysmography (peripheral arterial tone, PAT) and used to derive augmentation index (a measure of ventricular-vascular coupling) and the pulse wave amplitude-reactive hyperemia index (a measure of microvascular reactivity). Ambulatory arterial stiffness index (AASI) and the BP variability ratio (BPVR) were derived from 24-hour ambulatory BP recordings. Results There was a positive association between PAT-AIx and AASI (r = 0.52, P < 0.05). There was also a positive association between PAT-AIx and BPVR (r = 0.37, P < 0.05). PAT-AIx was not associated with PWA-RHI (r = -0.14, P > 0.05). PWA-RHI was not associated with AASI or BPVR (P > 0.05). Conclusions PAT-AIx is associated with ambulatory measures of vascular function and may offer clinical insight into vascular burden and cardiovascular disease risk in patients with hypertension independent of information obtained from PWA-RHI.
Trade Protection and the Location of Production

This study examines the economic role of trade protection in a new economic geography model where countries have no inherent differences in endowments, preferences or technologies. This is done in two ways. First, the effects of agricultural and manufacturing protection on the set of equilibria are obtained. Second, the endogenous trade policy positions resulting from a game between national welfare-maximising governments are identified. The model used is a Krugman & Venables (1995) model modified to incorporating agricultural trade costs. Therefore, an additional contribution is the examination of the effect of agricultural trade costs on the equilibrium structure of the model.
AGE RELATED CHANGES IN THE PURKINJE CELLS IN HUMAN CEREBELLAR CORTEX

The human cerebellum is associated with smooth control of movements and memory. As age advances deterioration is noticed in the cerebellum. The Purkinje cells act as the pivot in the neuronal circuitry of the cerebellum, which initiates and maintains complex, but smooth pursuit movements and it can be identified as one of the factors which cause the decline in movement and memory in humans as age progresses. In the present study a quantitative analysis of the Purkinje cells of the human cerebellum was done using light microscopy in seventy human cerebellums. The tissue collected from post mortem specimen was subject to routine histological processing and the slides studied under light microscopy to assess the diameter and linear density of Purkinje cells. The results of the study showed that the Purkinje cells are seen as a linear interface at the junction of the molecular and granular layer. The number of Purkinje cells was observed to be more at the crests than at the troughs of each folia. The Purkinje cells showed a statistically significant decrease in number after the third decade with ballooning observed around the sixth decade. The study aims to provide information regarding quantitative changes of the Purkinje cells of the human cerebellar cortex so as to enable clinical correlation with age related cerebellar dysfunction.
Text Sentiment Analysis Algorithm Optimization and Platform Development in Social Network

The sentiment information implied in the content of Social Networking Services (SNS) is of great technical and social significance, which has attracted a lot of researchers in different fields. Chinese text sentiment analysis is still in its starting stage, and most of the previous sentiment analysis algorithms are either inaccurate or inefficient. The purpose of this paper is to propose an algorithm performing well in both accuracy and efficiency, and apply it into a real time platform. A sentiment analysis algorithm on Chinese micro-blog content is introduced firstly, which achieves an outstanding accuracy but performs badly in efficiency. Then we optimize it with three strategies: data structure optimization, query strategy optimization, and parallel optimization. The experiment shows these strategies are very effective and the optimized algorithm is over 100 times more efficient than the basic algorithm. Based on the optimized algorithm, a text sentiment analysis platform is developed for real time sentiment. The platform offers two main functions including text sentiment analysis and user sentiment timeline. The results are outputted through a group of open APIs, which can be revoked by other developers and reduces their development costs. As a whole, the platform performs well on responding rate, capacity of concurrent users, stability and expandability.
Application of Support Vector Regression to Temperature Forecasting for Short-term Load Forecasting

This paper proposes a new method for temperature forecasting in power system short-term load forecasting. In recent years, power markets become more deregulated and competitive in power systems. As a result, it is of importance to deal with one-day ahead daily maximum load forecasting appropriately. To improve the forecasting model accuracy, it is a key to predict the weather conditions of input variables. In particular, daily predicted maximum temperature is one of the most important input variables. In this paper, an SVR-based method is proposed for maximum temperature forecasting in short-term load forecasting. It is an extension of SVM that makes use of the kernel trick to maximize a margin between different data sets. SVR corresponds to the regression version of SVM. The proposed method is successfully applied to real data of maximum temperature in Tokyo. A comparison is made between the proposed and the conventional ANN methods.
Multi-criteria optimization evolving artificial ants as a computational intelligence technique

This paper presents the application Ant Colony Optimization (ACO) to slve multi-criteria combinatorial optimization problems. The proposed decision support technique is validated on the Hybrid Flowshop Scheduling Problem with minimization of both the makespan and the total completion time of jobs. This problem is considered to be strongly NP-hard and has been little studied literature. Our algorithm is compared against other well-known heuristics from the literature adapted to solve this problem and experimental results show that our algorithm outperforms them.
Privacy Settings Recommender for Online Social Network

In recent years Relationship Based Access Control (ReBAC) has become the reference paradigm for controlled information sharing in Online Social Network (OSN) scenarios. Nevertheless, many of the most popular OSN providers do not implement in their platforms an access control model fully compliant with ReBAC. This fact, thus, limits the capability of OSN users to define customized and fine-grained access control policies. Moreover, average users might have difficulties in properly setting, potentially, complex access control policies. As results, many users give up in defining proper privacy setting, simply accepting the default setting proposed by OSN provider. To cope with this problem, we see the need of tools in support of policy specification. At this aim, in this paper we presenta recommendation system that, exploiting an association rules mining process, learns OSN users' habits in releasing resources in online social networks, and exploit them to suggest customized access control policies. We also prove the feasibility of the presented techniques by illustrating an experiment which has been conducted on 30 human users by building customized access control policies from the data learnt from each of them.
The Edge-flipping Distance of Triangulations

An edge-flipping operation in a triangulation T of a set of points in the plane is a local restructuring that changes T into a triangulation that differs fromT in exactly one edge. The edgeflipping distance between two triangulations of the same set of points is the minimum number of edge-flipping operations needed to convert one into the other. In the context of computing the rotation distance of binary trees Sleator, Tarjan, and Thurston show an upper bound of 2n 10 on the maximum edge-flipping distance between triangulations of convex polygons with n nodes, n > 12. Using volumetric arguments in hyperbolic 3-space they prove that the bound is tight. In this paper we establish an upper bound on the edge-flipping distance between triangulations of a general finite set of points in the plane by showing that no more edge-flipping operations than the number of intersections between the edges of two triangulations are needed to transform these triangulations into another, and we present an algorithm that computes such a sequence of edge-flipping operations.
Machine Learning Approach for the Automatic Annotation of the Events

After the beginning of the extension of current Web towards the semantics, the annotation starts to take a significant role, since it takes part to give the semantic aspect to the different types of documents. With the proliferation of news articles from thousands of different sources now available on the Web, summarization of such information is becoming increasingly important. We will define a methodological approach to extract the events from the news articles and to annotate them according to the principal events which they contain. Considering the large number of news source (for examples, BBC, Reuters, CNN.), every day, thousands of articles are produced in the entire world concerning a given event. This is why we have to think to automate the process of annotation of such articles.
Elizabeth and Propper , Carol ( 2015 ) Childhood behavior problems and academic outcomes in adolescence : longitudinal population-based study

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Further reverse results for Jensen's discrete inequality and applications in information theory.

Some new inequalities which counterpart Jensen’s discrete inequality and improve the recent results from S.S. DRAGOMIR, "A converse result for Jensen’s discrete inequality via Gruss’ inequality and applications in information theory" and S.S. DRAGOMIR, "A converse of the Jensen inequality for convex mappings of several variables and applications" are given. A related result for generalized means is established. Applications in Information Theory are also provided.
Hierarchical Techniques in Collision Detection for Cloth Animation

In the animation of deformable objects, collision detection is crucial for the performance. Contrary to volumetric bodies, the accuracy requirements for the collision treatment of textiles are particularly strict because any overlapping is visible. Therefore, we apply methods specically designed for deformable surfaces that speed up the collision detection. In this paper the efcienc y of bounding volume hierarchies is improved by adapted techniques for building and traversing these hierarchies. An extended set of heuristics is described that allows pruning of the hierarchy. Oriented ination of bounding volumes enables us to detect proximities with a minimum of extra cost.