Miracle-dz/UniFAR-FTUs huggingface dataset:
Physiological and molecular mechanisms of osmoregulatory plasticity in killifish after seawater transfer

SUMMARY We have explored the molecular and physiological responses of the euryhaline killifish Fundulus heteroclitus to transfer from brackish water (10% seawater) to 100% seawater for 12 h, 3 days or 7 days. Plasma [Na+] and [Cl–] were unchanged after transfer, and plasma cortisol underwent a transient increase. Na+/K+-ATPase activity increased 1.5-fold in the gills and opercular epithelium at 7 days (significant in gills only), responses that were preceded by three- to fourfold increases in Na+/K+-ATPase α1a mRNA expression. Expression of Na+/K+/2Cl– cotransporter 1, cystic fibrosis transmembrane conductance regulator (CFTR) Cl– channel, Na+/H+-exchanger 3 (significant in opercular epithelium only) and carbonic anhydrase II mRNA also increased two- to fourfold after transfer. Drinking rate increased over twofold after 12 h and remained elevated for at least 7 days. Surprisingly, net rates of water and ion absorption measured in vitro across isolated intestines decreased ∼50%, possibly due to reduced salt demands from the diet in seawater, but water absorption capacity still exceeded the drinking rate. Changes in bulk water absorption were well correlated with net ion absorption, and indicated that slightly hyperosmotic solutions (⩾298 mmol l–1) were transported. There were no reductions in unidirectional influx of Na+ from luminal to serosal fluid or intestinal Na+/K+-ATPase activity after transfer. Overall, our results indicate that gill and opercular epithelia function similarly at a molecular level in seawater, in contrast to their divergent function in freshwater, and reveal unexpected changes in intestinal function. As such they provide further insight into the mechanisms of euryhalinity in killifish.
Pathology of knowledge management in universities

Universities are major centers of production and dissemination of knowledge. Because of proximity of knowledge to decisions more data can improve the performance and quality of service organizations. On the other hand, Knowledge management is a systematic issue Categories that successful implementation requires a pathology and holistic approach to organizational various factors. In this paper, we try to make a new approach, based on group decision-making approach for prioritizing effective indicators to implement knowledge management in universities is introduced. Improving the decision-making process for implementing knowledge management in universities is one of the results of this research. The main question of this paper is why knowledge management in universities, not be able to run? In this paper identification and prioritization of effective indicators on implementation of knowledge management systems are examined. Initially, by study of literature, the effective indicators on implementation of knowledge management in various organizations are identified and After screening them using statistical analysis, 7 effective indicators in three areas of strategy, planning and implementation in universities, have been classified then, by using Decision Making Trial and Evaluation Laboratory(DEMATEL), prioritization of effective indicators on implementation of knowledge management in universities in these three areas is done.
Approximations to the Lsd for Some Classes of Random Matrices

In this appendix, I first state several results on the Limit Spectral Distribution (LSD) of some large random covariance matrices. This LSD is the nonrandom limit of the distribution of the eigenvalues of a random matrix, as its dimensions get large (here as BLOCKIN BLOCKIN, → ∞). The first section merely states various known results from Random matrix Theory: most are summarized in (TULINO and VERDÙ 2004). Then I derive an approximation for the LSD of BLOCKIN in the integrative phenotypic network model presented in the main text (Figure 1), and for key quantities related to the mutant fitness distribution. In what follows, I refer to the pdf of the spectral distribution of a given matrix as and to the corresponding Limit Spectral distribution (LSD) of this matrix as. I refer to any of the transforms of this LSD by an index referring to that matrix. All the derivations of this Appendix can be checked in a Mathematica® (WOLFRAM RESEARCH 2012) notebook (file S3, in freely readable [.cdf] format) available for download at XXX. A) The Marchenko‐Pastur law and its properties Limiting Spectral Distribution (LSD): Central to our derivations is the Marchenko ‐ Pastur (M‐P) law, which provides the LSD of a covariance matrix with random entries. Consider a matrix BLOCKIN BLOCKIN whose entries are randomly and independently drawn from possibly different distributions. These distributions are arbitrary in nature but have mean zero, variance 1// and fourth moments of order BLOCKIN BLOCKIN1// , i.e. they are 'standard' zero mean distributions, not too leptokurtic (normal, extreme value, uniform, etc.). Then, if 0 is an arbitrary scale factor, the random matrix BLOCKIN. * is called a sample covariance matrix. Its name comes from the fact that. * can describe the covariance matrix in a sample (of size BLOCKIN BLOCKIN) from a multivariate distribution with covariance matrix. When the entries of are normally distributed,. * follows the standard Wishart distribution:. * ~ with degrees of freedom. As , → ∞ with a fixed ratio (/ →), the spectral distribution of. * converges to a nonrandom LSD whose pdf is given by eq. where max , 0 and. is the Dirac delta function. This pdf has a point mass at zero with weight 1 1 whenever 0 0 1, plus a bulk of positive eigenvalues with weight BLOCKINminnn, 1. When 1 (our case of interest), the left hand term vanishes and all eigenvalues are …
Conducting ethical yet realistic usable security studies

Ethical yet realistic evaluation of usable security mechanisms is both critical and challenging. We study a particular and important case: the security achieved by different defenses against phishing, where users play a key role in detecting the attacks. We argue that proper evaluation of such anti-phishing defenses, requires users to act `naturally¿, similarly to their real-life behavior, without excessive awareness of being tested for detecting attacks.We focus on our experience from conducting one of the most extensive, long-term usable security experiments, evaluating anti-phishing defenses [5]. We discuss the different ethical and operational challenges and present our recommendations.
ANFIS regulated type 1diabetic model for different glucose absorption scenarios

The human blood glucose system is one of the most important systems of the human body, as energy transport is fulfilled through this complex endocrine control process. Because of its great importance, many models were published, most of them with phenomenological approach. The current paper focuses on a new molecular model published recently which is capable of describing the normal blood glucose household. Type 1 diabetes can be modeled by transforming the original model, then soft computing based controller is designed. Rough rule base is generated with subtractive clustering which is later followed by its refinement by parameter tuning. As a result, an Adaptive Neuro-Fuzzy Inference System (ANFIS) is designed. A simple absorption model is presented in order to test the designed controller for different absorption curves. Simulation results are in accordance with the behavior of the healthy human blood glucose system.
Cognitive partners in wireless networks

Cognitive radio has been proposed as the means for secondary users to promote the efficient utilization of the spectrum by exploiting the existence of spectrum holes. Meanwhile, cooperative diversity techniques can improve the transmission rate and reliability of wireless networks. In this paper, both the case of relay participating in the cognitive networks and the case of relay selection are considered. Further an optimal cognitive relay partner selection project is tabled to improve the transmission performance. Finally, the simulation results demonstrate the relationship between average SNR and ergodic capacity in cognitive relay networks. Also, it is observed that more spared relay nodes supply better throughput performance.
The Monetary Origins of Asymmetric Information in International Equity Markets

Existing studies using low-frequency data have found that macroeconomic shocks contribute little to international stock market covariation. However, these papers have not accounted for the presence of asymmetric information where sophisticated investors generate private information about the fundamentals that drive returns in many countries. In this paper, we use a new microstructure data set to better identify the effects of private and public information shocks about U.S. interest rates and equity returns. High-frequency private and public information shocks help forecast domestic money and equity returns over daily and weekly intervals. In addition, these shocks are components of factors that are priced in a model of the cross section of international returns. Linking private information to U.S. macroeconomic factors is useful for many domestic and international asset pricing tests.
SATELLITE TRANSMITTER Simulating and Designing An RF Transmitter for Small Satellites

This paper discusses the design and simulation of an RF transmitter for small satellites operating in the commercial S-band (2.22.29 GHz) with a data rate of 8 Mbps. In such systems, modeling frequency-dependent nonlinear characteristics of complex analog blocks and subsystems is critical for enabling efficient verification of mixed-signal system designs. In order to provide efficient and accurate simulation for the transmitter circuits, simple macromodels for weakly nonlinear mixer and power amplifier are used in the system simulation. Also, we introduce noise into several circuits (frequency synthesizer, crystal oscillator, power amplifier, mixer, etc.), and we demonstrate their effect on the noise performance system. In the simulation we consider features of components and technologies commercially available.
Field Theory Limit of Branes and Gauged Supergravities

We discuss the field theory limit of Dp-branes. In this limit, the black Dp- brane solution approaches a solution which is conformal to adSp+2 × S 8−p . We argue that the frame in which the conformal factor is equal to one, the dual frame, is a 'holographic' frame. The radial coordinate of adSp+2 provides a UV/IR connection as in the case of the D3 brane. The gravitational description involves gauged supergravities, typically with non-compact gauged groups. The near-horizon Dp-brane solution becomes a domain-wall solution of the latter.
Anomaly detection for scientific workflow applications on networked clouds

Recent advances in cloud technologies and on-demand network circuits have created an unprecedented opportunity to enable complex scientific workflow applications to run on dynamic, networked cloud infrastructure. However, it is extremely challenging to reliably execute these workflows on distributed clouds because performance anomalies and faults are frequent in these systems. Hence, accurate, automatic, proactive, online detection of anomalies is extremely important to pinpoint the time and source of the observed anomaly and to guide the adaptation of application and infrastructure. In this work, we present an anomaly detection algorithm that uses auto-regression (AR) based statistical methods on online monitoring time-series data to detect performance anomalies when scientific workflows and applications execute on networked cloud systems. We present a thorough evaluation of our auto-regression based anomaly detection approach by injecting artificial, competing loads into the system. Results show that our AR based detection algorithm can accurately detect performance anomalies for a variety of exemplar scientific workflows and applications.
The Amino-terminal Domain of the Golgi Protein Giantin Interacts Directly with the Vesicle-tethering Protein p115*

Giantin is thought to form a complex with p115 and Golgi matrix protein 130, which is involved in the reassembly of Golgi cisternae and stacks at the end of mitosis. The complex is involved in the tethering of coat protomer I vesicles to Golgi membranes and the initial stacking of reforming cisternae. Here we show that the NH2-terminal 15% of Giantin suffices to bind p115 in vitro and in vivo and to block cell-free Golgi reassembly. Because Giantin is a long, rod-like protein anchored to the membrane by its extreme COOH terminus, these results support the idea of a long, flexible tether linking vesicles and cisternae.
Cluster assignment of global values for clustered VLIW processors

In this paper high-level language (HLL) variables that are alive in a whole HLL function, across multiple scheduling units, are termed as global values. Due to their long live ranges and, hence, large impact on the schedule, the global values require different compiler optimizations than local values, which span across only one scheduling unit. The instruction scheduler for a clustered ILP processor, which is responsible for cluster assignment of operations and variables, faces a difficult problem of assigning global values to clusters. Our study shows that trivial assignments (e.g. mapping all global values into one cluster) may result in a severe cycle count overhead relative to the unicluster of up to 26.3% for a four cluster VLIW machine. This paper presents three advanced algorithms for assigning global values to clusters based on multi-pass scheduling and affinity of variables. Furthermore, we measure performance of these algorithms on optimized multimedia C applications and assess quality of our algorithms by comparing them to a practical higher performance bound derived from a vast random search. Our algorithms reduce the execution time overhead of the best simple algorithm round-robin from 10.5% to 5.9% for the two cluster VLIW machine and from 17.3% to 14.12% for the four cluster VLIW machine.
What can distributional semantic models tell us about part-of relations?

The term Distributional semantic models (DSMs) refers to a family of unsupervised corpus-based approaches to semantic similarity computation. These models rely on the distributional hypothesis (Harris, 1954), which states that semantically related words tend to share many of their contexts. So, by collecting information about the contexts in which words are used in a corpus, DSMs are able to measure the distributional similarity of two words, which theoretically translates into a semantic one.
New bounds for Gauss sums derived from kth powers

Compounds of the formula: wherein R represents hydrogen or an alkyl radical, R1 represents a hydroxy, amino or alkoxy radical or an alkylamino or dialkylamino group, the various alkyl radicals and the alkoxy radical being optionally substituted by a dialkylamino group, the alkyl radicals of the said dialkylamino groups optionally being linked together to form a heterocyclyl radical with 5 or 6 atoms in the ring, and A represents the thieno[2,3-b]thien-2-yl or thieno[3,2-b]thien-2-yl radical, the A-CO- grouping being attached to the 3- or 4-position of the phenyl ring, have been found to possess useful pharmacological properties and are particularly active as analgesics, antipyretics, agents for inhibiting platelet aggregation and as anti-inflammatory agents.
Organizing and Navigating User-Generated Content for the Web: A Collaborative Approach Based on a 3D Multimodal Interactive Environment

This paper proposes an architecture for supporting the organization and fruition of information created by the collaborative effort of Web users. Large repositories of video streams are nowadays available on the Web; such repositories are usually accessed through interfaces that support only a subset of the search types that are typical on the Web. This work proposes a different approach for organizing and accessing such repositories, that often include not only video streams but also a lot of meaningful information such as the user interests and their network of friends. This work offers an extended view on all the features of the approach, including the description of a set of authoring interfaces that enable different categories of users to collaboratively build an interactive shared environment. The result of the authoring effort is displayed to the Web user as a 3D multimodal world where specific search types, such as associative seeking and information re-finding, are enhanced. A prototypical application, accessing the data from the YouTube video repository, is presented.
Making norms concrete

In systems based on organisational specifications a reoccurring problem remains to be solved in the disparity between the level of abstractness of the organisational concepts and the concepts used in the implementation. Organisational specifications (deliberately) abstract from general practice, which creates a need to relate the abstract concepts used in the specification to concrete ones used in practice. A solution for this problem is the use of counts-as statements, which, by defining the social reality, provide the concrete concepts their institutional and organisational meaning. Continuing work on the implementation of counts-as to relate abstract and concrete concepts in agent-based systems, this paper investigates the implementation of counts-as statements in Drools to relate abstract organisational specifications and its norms to concrete situations.
An ancestral regulatory network for posterior development in arthropods

A number of recent studies have investigated posterior development in several different arthropods. As previously found in spiders, it has been discovered that Delta-Notch signaling is required for the development of posterior segments in an insect, the cockroach Periplaneta americana. Furthermore analysis of Wnt8 function in the spider Achaearanea tepidariorum and the beetle Tribolium castaneum demonstrates that this Wnt ligand is required for the establishment of the growth zone and development of posterior segments in both these arthropods. Taken together these studies provide an interesting insight into the architecture of the genetic network that regulated posterior development in the common ancestor of the arthropods.
A fast-locking clock and data recovery circuit with a lock detector loop

This work presents a PLL-based (phase-locked loop) clock and data recovery (CDR) circuit with a lock detector loop for fast locking and low jitter. We use an adjustable charge pump to change the charge current according to the state of the lock detector loop, which is determined by seven clocks with equal phase difference. An experimental prototype was implemented using a typical 0.18 μm CMOS process. The post-layout-extracted simulation results reveal that the worst case jitter of the recovery clock is less than 199.66 ps (peak-to-peak) and the settling time is less than 4 μs at all PVT (Process, voltage, and temperature) corners.
A RELIABLE ROUTING FOR VEHICULAR AD HOC NETWORKS USING EVOLVING

Vehicular ad hoc networks (VANETs) are a special form of wireless networks made by vehicles communicating among themselves on roads which includes communications among vehicles and between vehicles and road side units. However, due to the high mobility and the frequent changes of the network topology, the communication links are highly vulnerable to disconnection in VANETs. This paper extend the wellknown ad hoc on-demand distance vector (AODV) routing protocol with evolving graph theory to propose reliable routing protocol EG-RAODV. Simulation results demonstrate that EG-RAODV significantly outperforms better packet delivery ratio, lowest routing request ratio, less link failures while maintaining a reasonable routing control overhead and lowest average end to end delay.
Radio Resource Management in Heterogeneous Cellular Networks

Title of dissertation: RADIO RESOURCE MANAGEMENT IN HETEROGENEOUS CELLULAR NETWORKS Doohyun Sung, Doctor of Philosophy, 2014 Dissertation directed by: Professor John S. Baras Department of Electrical and Computer Engineering Heterogeneous cellular networks (HetNets) have been considered as one of enabling technologies not only to increase the cell coverage and capacity, but to improve the user experience. In this dissertation, we address two research challenges in HetNets: one is the cross-tier interference problem where cell range expansion (CRE) is applied for user offloading in cell association so that pico mobile stations located in expanded range (ER-PMSs), which are connected to macrocells unless CRE is enabled, are severely interfered. The other is the load-aware cell association which tries to overcome the drawback of the received signal strength-based cell association including CRE, i.e., the degradation of network performance by user load imbalance. In the first part, we present the frequency-domain transmit power reduction scheme for the cross-tier interference mitigation. Inspired by the fact that a macrocell accommodates more users than its underlaid picocells, we focus on minimizing the macrocell’s performance degradation while improving the throughput of ERPMSs by the transmit power reduction. Due to the discreteness of frequency resource block scheduling, we also propose a greedy-based heuristic algorithm to solve the binary integer programming problem. In the following part, we present a different approach for the cross-tier interference mitigation, which is the time-domain transmit power nulling scheme utilizing the almost blank subframes (ABSs) in 3GPP standards. We turn our attention to a network-wide performance enhancement through configuring a certain number of ABSs while improving the performance of ER-PMSs as in the first part. A new scheduling policy for pico mobile stations is proposed and the optimal ER-PMS scheduling onto ABSs/non-ABSs is solved by decomposing the problem into multiple independent problems for pico base stations. In the last part, we study the load-aware cell association problem. Due to the combinatorial nature of the cell association problem and the cross-tier interference between macrocells and picocells, we propose an online heuristic algorithm where the cell association and the number of ABSs for cross-tier interference mitigation are jointly optimized. Through approximation of the required condition for load balancing and ABS control from the network-wide utility point of view, the proposed online algorithm not only requires simple feedback messages, but also be applicable to any state of cell association/ABSs in HetNets. RADIO RESOURCE MANAGEMENT IN HETEROGENEOUS CELLULAR NETWORKS