Miracle-dz/UniFAR-FTUs huggingface dataset:
FADS Gene Polymorphisms Confer the Risk of Coronary Artery Disease in a Chinese Han Population through the Altered Desaturase Activities: Based on High-Resolution Melting Analysis

Objective We explored the desaturase activities and the correlation of fatty acid desaturases (FADS) gene single nucleotide polymorphisms (SNPs) with plasma fatty acid in coronary artery disease (CAD) patients in a Chinese Han population. Methods Plasma fatty acids were measured by gas chromatography in CAD patients (n = 505) and a control group (n = 510). Five SNPs in the FADS gene were genotyped with high-resolution melting (HRM) methods. Results After adjustment, D6D activity, assessed as arachidonic acid (AA, C20:4n-6)/linoleic acid (LA, C18:2n-6), was higher in CAD patients (p<0.001). D9D activity, which was estimated as the ratio of palmitoleic acid (C16:1)/palmitic acid (C16:0) or oleic acid (C18:1n-9) to stearic acid (C18:0), was also increased (p<0.001). The genotype distributions of rs174537 G>T and rs174460 C>T were different between the two groups. The rs174537 T allele was associated with a lower risk of CAD [OR 0.743, 95% CI (0.624, 0.884), p = 0.001]. Carriers of the rs174460 C allele were associated with a higher risk of CAD [OR 1.357, 95% CI (1.106, 1.665), p = 0.003]. Conclusions We firstly report that the rs174460 C allele is associated with a higher risk of CAD, and confirm that the rs174537 T allele is associated with a lower risk of CAD. Our results indicate that FADS gene polymorphisms are likely to influence plasma fatty acid concentrations and desaturase activities.
Implementing SEID as a Solution for Connecting NKCS

There has been an abundance of research within the last couple of decades in the area of multilevel secure (MLS) databases. Recent work in this field deals with the processing of multilevel transactions, expanding the logic of MLS query languages, and utilizing MLS principles within the realm of E-Business. However, there is a basic flaw within the MLS logic, which obstructs the handling of clearance-invariant aggregate queries and physical-entity related queries where some of the information in the database may be gleaned from the outside world. This flaw stands in the way of a more pervasive adoption of MLS models by the developers of practical applications. This paper clearly identifies for the first time the cause of this impediment – the cover story dependence on the value of a user-defined key. In addition to identifying the problem, the paper proposes a practical solution and illustrates how such a solution improves the applicability and robustness of MLS databases. The paper also describes the changes in the model properties and relational algebra brought by the proposed innovation.
Predictive Functional Connectivity of Real-World Systems

We are flooded with large-scale dynamic networked data. Analyses requiring exact comparisons between networks are computationally intractable, so new methodologies are sought. We extend the graphlet-based statistics to directed networks and demonstrate that they are superior to other measures. We predict a country's gross domestic product (GDP) solely from its wiring patterns in the world trade network (WTN) that could inform policy makers on benefits of trade agreements. Surprisingly, we find that it is not enough for a country to be in a densely connected core in the WTN to have a high GDP, as was previously believed. In addition to being in the core, a country must also trade with peripheral countries, while only being in the core and not trading with peripheral economies makes a country prone to debt. Furthermore, by tracking the dynamics of a country's positioning in the WTN over years, we predict success or failure of an emerging economy. We validate our methodology on metabolic networks, yielding insights into preservation of enzyme function from the network wiring patterns rather than sequence data. Overall, our methodology enables advanced analyses of directed networked data from any area of science, allowing domain-specific interpretation of a directed network's topology.
CPA and CCA-Secure Encryption Systems that are not 2-Circular Secure

Traditional definitions of encryption guarantee security for plaintexts which can be derived by the adversary. In some settings, such as anonymous credential or disk encryption systems, one may need to reason about the security of messages potentially unknown to the adversary, such as secret keys encrypted in a self-loop or a cycle. A public-key cryptosystem is n-circular secure if it remains secure when the ciphertexts E(pk1, sk2), E(pk2, sk3), . , E(pkn−1, skn), E(pkn, sk1) are revealed, for independent key pairs. A natural question to ask is what does it take to realize circular security in the standard model? Are all CPA-secure (or CCA-secure) cryptosystems also n-circular secure for n > 1? One way to resolve this question is to produce a CPA-secure (or CCA-secure) cryptosystem which is demonstrably insecure for key cycles larger than self-loops. Recently and independently, Acar, Belenkiy, Bellare and Cash provided a CPA-secure cryptosystem, under the SXDH assumption, that is not 2-circular secure. In this paper, we present a different CPA-secure counterexample (under SXDH) as well as the first CCA-secure counterexample (under SXDH and the existence of certain NIZK proof systems) for n > 1. Moreover, our 2-circular attacks recover the secret keys of both parties and thus exhibit a catastrophic failure of the system whereas the attack in Acar et al. provides a test whereby the adversary can distinguish whether it is given a 2-cycle or two random ciphertexts. These negative results are an important step in answering deep questions about which attacks are prevented by commonly-used definitions and systems of encryption.
Generalized Higher Order Orthogonal Iteration for Tensor Learning and Decomposition

Low-rank tensor completion (LRTC) has successfully been applied to a wide range of real-world problems. Despite the broad, successful applications, existing LRTC methods may become very slow or even not applicable for large-scale problems. To address this issue, a novel core tensor trace-norm minimization (CTNM) method is proposed for simultaneous tensor learning and decomposition, and has a much lower computational complexity. In our solution, first, the equivalence relation of trace norm of a low-rank tensor and its core tensor is induced. Second, the trace norm of the core tensor is used to replace that of the whole tensor, which leads to two much smaller scale matrix TNM problems. Finally, an efficient alternating direction augmented Lagrangian method is developed to solve our problems. Our CTNM formulation needs only O((RN + NRI) log(√IN)) observations to reliably recover an Nth-order I × I ×⋯× I tensor of n-rank (r, r, . ., r), compared with O(rIN-1) observations required by those tensor TNM methods (I ≫ R ≥ r). Extensive experimental results show that CTNM is usually more accurate than them, and is orders of magnitude faster.
BI-RADS Features-Based Computer-Aided Diagnosis of Abnormalities in Mammographic Images

In the analysis of digital or digitized mammographic images, a requirement is to learn to separate benign abnormalities from malignant ones. Such an activity could form part of a computer-aided diagnosis (CAD) tool. We present a CAD study of mass and calcification lesions found in digital database of screening mammography (DDSM) using BI-RADS-based features to demonstrate the performance of feature elimination-based support vector machines as the classification technique. It is shown that using only a subset of the available set of features is shown to significantly better classify abnormalities. Furthermore, it is also shown that CAD of same-institutional mammograms produces higher classification accuracy in general compared to that of cross-institutional mammograms.
Evolutionary Potential is Maximized at Intermediate Diversity Levels

Diversity in a population is often cited as a major facilitator for the evolution of new complex features. The intuition behind this dynamic is that if a population is exploring multiple regions of a fitness landscape, more opportunities exist to find new functionality. We use the digital evolution software platform Avida to explore the effect of multiple limited resources on phenotypic Shannon diversity and, in turn, on evolvability of populations. We show that Shannon diversity peaks at intermediate levels of resource availability to the population, and we map the evolvability of a complex computational task on this availability-diversity gradient. While the evolvability of the complex task is highest at intermediate availabilities, it does not peak at the same resource inflow level as Shannon diversity, and it is more robust than diversity in its response to inflow level. These results indicate that while phenotypic Shannon diversity may play into the evolution of complex features, the selective pressures caused by diversity cannot be the only — or indeed even the main — pressures behind such evolution.
Vplyv priamych zahraničných investícií na inovačnú činnosť firiem

We analyse regional spill-over effects from FDI on innovation activities of domestic firms in Eastern European and Asian transition and post-transition countries. The analysis is carried out using the World Bank 2009 Enterprise survey. We look also at the impact of FDI on innovation activities of domestic firms at regional level. We find the evidence for a non-linear impact of foreign firms on innovation. An increasing regional foreign presence at first reduces innovation activities and then beyond a certain point increases it. This is consistent with the literature which suggests that either effect may be plausible. Foreign owned firms are more likely to engage in product innovation and license products from other firms. We also find the evidence for the positive statistically significant impact of access to bank credit, infrastructure, size of the firm, being part of a group of firms and competitive pressure on innovation activities of firms.
Synchronized Access to Distributed File Data

Many applications require the ability to obtain exclusive access to data, where an application is granted access privilege to an object that cannot be preempted and limits the actions of other processes. Local file systems support exclusive access to files by maintaining information about the access rights of current open file instances and checking subsequent opens for compatibility. Currently, implementing exclusive access in this manner for distributed file systems degrades performance by requiring every open of every file to be registered with a server that maintains global open state. We introduce a new distributed lock for managing file access, called a semi-preemptible lock, which avoids this performance limitation. Clients locally grant open requests for files that are consistent with a distributed semi-preemptible lock that they hold. We permit file system clients to retain or cache distributed locks, even in the absence of open file instances. When a file access lock is cached, a client services an open request for that file without a server message, improving performance by exploiting locality, the affinity of files to clients.
Effects of focus of attention depend on golfers' skill

In this study, we examined the influence of internal and external attention instructions on the performance of a pitch shot by golfers who were either highly skilled (mean handicap = 4) or low skilled (mean handicap = 26). Ten golfers in each skill group used a 9-iron to pitch a ball as close as possible to an orange pylon, which was located at distances of 10, 15, 20 or 25 m from the golfer. Focus of attention was manipulated within participants (counterbalanced across golfers). Under internal focus of attention instructions, the participants were told to concentrate on the form of the golf swing and to adjust the force of their swing depending on the distance of the shot. For the external focus of attention conditions, the participants were told to concentrate on hitting the ball as close to the target pylon as possible. The most intriguing finding was an interaction of skill with focus of attention instructions for variability in performance. Similar to the findings of Wulf and colleagues, the highly skilled golfers performed better with external attention instructions than with internal focus instructions. In contrast, the low-skill golfers performed better with the internal than with the external focus of attention instructions. These findings are discussed relative to theoretical issues in motor learning and practical issues for golf instruction.
Genetic Algorithm for Delivery Problem

Summary In this paper we introduce the delivery problem and propose a genetic algorithm solving the delivery problem. In the delivery problem, many heterogeneous robot agents collaborate to deliver an object to its destination aim to minimize the delivery time In this problem, each agent has different velocity So, the hand in sequence and places are critical to optimize the delivery time. We analyze properties of the delivery problem, and propose an exact algorithm for 1-dimensional space delivery problem. And then we describe a genetic algorithm for 2-diemnsioal case. Finally, we compare the results of these two algorithms to show the effectiveness of given genetic algorithm.
Parental negative weight/shape comments and their association with disordered eating behaviors: A systematic review / Comentarios negativos paternos acerca de peso/forma corporal y su asociación con las conductas alimentarias de riesgo: Una revisión sistemática

Abstract The purpose of this study was to find the association between receiving negative parental weight and shape comments, and the presence of disordered eating behaviors (DEBs) in young adults. A systematic review was conducted answering the following PECO question: Population / young adults; Exposure / negative comments, criticism or teasing about weight and shape by parents; Comparison groups / not applicable; and Outcome / DEBs. Due to the use of different statistical measurements, a narrative was chosen to present the results. An association between negative comments and DEBs was found in male and female university students. Women reported more negative comments, higher body dissatisfaction and DEBs than men. Body dissatisfaction was found as a mediator of negative comments and DEBs, and sex as a moderator between body dissatisfaction and DEBs. The results have implications for the influence social pressure has on the internalization of the thin-ideal and on body dissatisfaction as risk factors for the development of disordered eating behaviours. Resumen El objetivo de este estudio fue examinar la asociacion entre ser receptor de comentarios negativos paternos acerca del peso y la figura corporal, y la presencia de conductas alimentarias de riesgo (CAR) en adultos jovenes. Se llevo a cabo una revision sistematica respondiendo a la pregunta PECO siguiente: Poblacion / adultos jovenes; Exposicion / comentarios negativos, criticas o ridiculizacion por parte de los padres por el peso y la figura corporal; Comparacion / no aplico; y Resultado / CAR. Debido a las diferentes medidas estadisticas utilizadas, se eligio un formato narrativo para presentar los resultados. Los resultados indican asociacion entre los comentarios negativos paternos y las CAR en hombres y mujeres estudiantes universitarios. Las mujeres reportaron recibir mas comentarios negativos, asi como presentar mayor insatisfaccion corporal y CAR que los hombres. Entre los comentarios negativos y las CAR se encontro como mediadora a la imagen corporal, y al sexo como un moderador entre la insatisfaccion corporal y las CAR. Los resultados tienen implicaciones acerca de la influencia de la presion sociocultural en la interiorizacion del ideal estetico de delgadez y de la insatisfaccion corporal como factores de riesgo para el desarrollo de CAR.
Survey Paper for Maximization of Profit in Cloud Computing

The cloud is a next generation platform that provides dynamic resource pools, virtualization, and high availability. Today, it have the ability to utilize scalable, distributed computing environments within the confines of the Internet, a practice known as cloud computing. Cloud computing is the concept implemented to decipher the daily computing problems, likes of hardware software and resource availability unhurried by computer users. The cloud computing provides an undemanding and non-ineffectual solution for daily computing. Prevailing cloud systems mainly focus on finding an effective solution for the resource management.In cloud computing, the study of economics of the cloud is critically important. The maximization of profit is done in this. For maximizing the profit first should understand the cost and revenue. Profit maximization must consider the user satisfaction also the cost of the cloud includes the renting cost and power consumption cost. For maximizing, must reduce the cost. For this it will configure the server perfectly. For configuring the server, calculate the expected waiting time and service charge is calculated. Using the optimizing method, will optimize the speed and the size so get maximum profit.
TUBA-A Time Urgency Based Algorithm for QoS Provisioning in Mobile Ad hoc Networks

Quality of service (QoS) provisioning in a mobile ad hoc network (MANET) is expected to become important because of the diversity of applications that these networks will have to carry. However it tends to be difficult due to constraints of MANETs such as the changing network topology, shared and variable wireless bandwidth and limited power supply. In this paper, a cross-layer scheduling approach TUBA (time urgency based algorithm) is proposed for QoS provisioning in MANETs. It takes into account the time urgency of packets and schedules the packets effectively based on the global information obtained from the network layer. In addition, TUBA can be used to improve the performance of traditional scheduling algorithms (e.g. weighted fair queueing and deficit round robin). Simulation results demonstrate the efficiency of TUBA for QoS provisioning in a MANET environment
Vehicle 3-dimension measurement by monocular camera based on license plate

Monocular cameras are not generally considered as a 3D measurement tool in the field of intelligent transportations. This belief limits the application of monocular cameras in many applications such as guiding robots or vehicles for autonomous driving. In this paper, we demonstrate that with the reference of a license plate, a monocular camera can be used as a tool to measure 3 dimensional parameters (width, height and length) of a passenger vehicle down to 10 cm accuracy. The proposed measurement method does not reply on any training process, but is designed as a fast and direct approach utilizing a series of fundamental computer vision techniques such as ROI extraction, edge/line detection, space coordinates transformations, etc. A series of validation tests were conducted and the results demonstrated the robustness of this measurement method and implies the possibility to broaden the application scope of monocular cameras in the field of autonomous driving and intelligent transportation systems.
Design and implementation of a one way delay passive measurement system

A lot of network management applications rely on the measurement of the delay experienced by packets between two observation points (one way delay). In this paper we describe an implementation of a passive OWD measurement system composed of a set of synchronized measurement points that observe selected packets and report transit timestamps to a collector station. Measurement points can be standalone probes or be embedded in routers. We first describe the system design and then focus on the implementation issues of the two building blocks of the system, the measurement points and the one way delay data collector.
Proceedings of the Workshop “ Formalizing Mechanisms for Artificial General Intelligence and Cognition ( Formal MAGiC ) ” PICS

The goal of artificial general intelligence (AGI) is the development and demonstration of systems that exhibit the broad range of general intelligence found in humans. The key issue underlying the achievement of AGI is the effective modeling of the mind, which may be considered the focus of an interdisciplinary subject of “intelligence science“. First I outline an attempt at a comprehensive mind model, the Consciousness And Memory model (CAM). Then I talk about the computational model of memory in CAM, including working memory, semantic memory, episodic memory and procedural memory. All of these models are described by dynamic description logic (DDL), which is a formal logic with the capability for description and reasoning regarding dynamic application domains characterized by actions. The directions for further researches on CAM will be pointed out and discussed. Bio-Sketch: Zhongzhi Shi is a professor at the Institute of Computing Technology, Chinese Academy of Sciences, leading the Intelligence Science Laboratory. His research interests include intelligence science, cognitive science, machine learning, multi-agent systems, semantic Web and service computing. Professor Shi has published 14 monographs, 15 books and more than 450 research papers in journals and conferences. He has won a 2nd-Grade National Award at Science and Technology Progress of China in 2002, two 2nd-Grade Awards at Science and Technology Progress of the Chinese Academy of Sciences in 1998 and 2001, respectively. He is a fellow of CCF and CAAI, senior member of IEEE, member of AAAI and ACM, Chair for the WG 12.2 of IFIP. He serves as Editor in Chief of Series on Intelligence Science. Acknowledgement: This work is supported by National Basic Research Priorities Programme (No. 2013CB329502), National Science Foundation of China (No. 61035003 , 60933004), National High-tech R&D Program of China (No.2012AA011003). Specifying Modalities in the MGLAIR
Evaluating the compatibility of a tool to support e-businesses' security negotiations

As e-businesses partner to engage in online business scenarios, they face numerous challenges when considering the sharing, comparison, and negotiation on their individual security needs. To aid companies in this task, in previous work we have presented a security negotiations support tool, which acts as a bridge between businesses and streamlines various negotiation tasks. The paper continues the research of that tool by evaluating its compatibility with existing security needs determination methods. Compatibility forms a key requirement as it demonstrates feasibility and gives valuable initial feedback on the ultimate usefulness of the tool.