Miracle-dz/UniFAR-FTUs huggingface dataset:
High-throughput fully automated microrobotic zebrafish embryo injection

Injection of foreign materials (e.g., DNA, RNAi, sperm, protein, and drug compounds) into individual cells has significant implications in genetics, transgenics, assisted reproduction, and drug discovery. This video presents a microrobotic system for fully automated zebraflsh embryo injection, which overcomes the problems inherent in manual operation, such as human fatigue and large variations in success rates due to poor reproducibility. Based on computer vision and motion control, the automated microrobotic system is capable of immobilizing a large number of zebraflsh embryos into a regular pattern within seconds and injecting 15 embryos (chorion unremoved) per minute with a success rate, survival rate, and phenotypic rate all close to 100%.
A fusion-based localization method of mobile robot with equality geometric constraint

GPS/ODO fusion-based localization is always used for mobile robot in outdoor environment. This approach takes advantage of short-term accuracy of odometry measurement and the long-term correction by the GPS unit. Generally, to improve the localization accuracy, precise system model and sensor noise model are probed. In this paper, by taking the linear and nonlinear equality state constraints into the EKF-based fusion framework with the method of perfect measurement and estimate projection, the performance of fusion results can be greatly improved. The modeling process is introduced and two simulation cases have been conducted, which show the positioning accuracy of the mobile robot can be significantly improved after the introduction of the equivalent constraint. Theoretically, this implementation allows us to define additional adjustments to improve the overall behavior of the filter.
Did the 2008 global economic crisis affect large firms in Europe

The paper analyses the spatial distribution of the largest global corporations found on the Forbes Global 2000 list and with headquarters in Europe. The analysis includes the effects of the 2008 global financial crisis on changes in corporate financial performance. Research has shown that London has the largest economic potential in Europe, while companies in Central and Eastern European cities exhibit high rates of growth. The crisis triggered a decentralisation of corporate headquarters’ location resulting in more cities with corporate headquarters.
Strategies of human-robot interaction for automatic microassembly

In this paper new intelligent control strategies are presented allowing a cooperative work between a human operator and a microassembly platform working in a partially structured microworld. Human integration is essential in the microworld where autonomous control alone would not be successful. The allocation of the control among human and robot occurs dynamically according to the state of the task execution. In the following, different task-level control issues (shared, traded, cooperative and priority) are discussed and tested on a micro device assembly workcell.
A Weight-Based Unequal Clustering Routing Protocol in Wireless Sensor Network

Currently, many routing protocols are proposed to balance energy consumption and prolong network life-time. Unequal Cluster-based Routing Protocol (UCR) to mitigate hot spot problem was defined in previous researches [1, 2]. Hot spot problem arises when a Cluster Head cooperates with another Cluster Head. The Cluster Head near to the Base Station is burdened with heavier relay traffic data and tends to die a lot faster. UCR chooses Cluster Head based on distance and energy of the node. When a node is at a distant from the Base Station, it may be weak but it may have higher energy than other nodes in the cluster, so it is difficult to choose a Cluster Head from the nodes. It creates a hot spot problem. For this reason, we propose a Weight-Based Unequal Clustering Routing (WBUCR) Protocol in Wireless Sensor Network to mitigate hot spot and to achieve balanced energy consumption and prolong network life time in WSN. WBUCR is based on weight metric to choose Cluster Head. The sensor field is divided into energy levels and in every level we choose one Cluster Head as a Cluster Head Leader. This Cluster Head Leader collects data from other Cluster Heads in this level and sends data to another Cluster Head Leader another level. Finally the last Cluster Head Leader in chain sends the aggregated data to the Base Station. We will show how WBUCR outperforms UCR with several experiments.
How the Self Controls Its Automatic Pilot when Processing Subliminal Information

Human performance may be primed by information not consciously available. Can such priming become so overwhelming that observers cannot help but act accordingly? In the present study, well-visible stimuli were preceded by whole series of unidentifiable stimuli. These series had strong, additive priming effects on behavior. However, their effect depended on the frequency with which they provided information conflicting to the visible main stimuli. Thus, effects of subliminal priming are under observers' strategic control, with the criterion presumably set as a function of the openly observable error frequency. Electrical brain potentials show that this criterion acts simultaneously at the level of visual discrimination of the primes and at motor activation evoked by the primes, thereby shielding observers from unwanted information.
Modified Median Statistics and Type Ia Supernova Data

The median statistic has recently been discussed by Gott et al. as a more reliable alternative to the standard χ2 likelihood analysis, in the sense that it requires fewer assumptions about the data and is almost as constraining. We apply this statistic to the combined data set of 92 distant Type Ia supernovae currently available and also to a mock SNAP-class data set. We find that the performances of the modified median and χ2 statistics are comparable, particularly in the latter case. We further extend the work of Gott et al. by modifying the median statistic to account for the number and size of sequences of consecutive points above or below the median. We also comment on how the performance of the statistic depends on the choice of free parameters that one is estimating.
Ecotourism Demand and Differential Pricing of National Park Access in Costa Rica

Ecotourism presents developing countries with growing opportunities for enhancing resource conservation and economic growth, but also raises pressing management and policy challenges. This paper presents a conceptual framework and empirical analysis of the impacts of introducing a differential entrance fee policy at three national parks in Costa Rica. Data are collected using a contingent behavior methodology designed to elicit information on foreign tourists' hypothetical park visitation behaviors at alternative entrance fee levels. Park visitation demand functions and price and income elasticities are estimated. Revenue-maximizing fees are calculated and applications of differential pricing principles to park management are discussed.
BGP-15 Protects against Oxaliplatin-Induced Skeletal Myopathy and Mitochondrial Reactive Oxygen Species Production in Mice

Chemotherapy is a leading intervention against cancer. Albeit highly effective, chemotherapy has a multitude of deleterious side-effects including skeletal muscle wasting and fatigue, which considerably reduces patient quality of life and survivability. As such, a defense against chemotherapy-induced skeletal muscle dysfunction is required. Here we investigate the effects of oxaliplatin (OXA) treatment in mice on the skeletal muscle and mitochondria, and the capacity for the Poly ADP-ribose polymerase (PARP) inhibitor, BGP-15, to ameliorate any pathological side-effects induced by OXA. To do so, we investigated the effects of 2 weeks of OXA (3 mg/kg) treatment with and without BGP-15 (15 mg/kg). OXA induced a 15% (p < 0.05) reduction in lean tissue mass without significant changes in food consumption or energy expenditure. OXA treatment also altered the muscle architecture, increasing collagen deposition, neutral lipid and Ca2+ accumulation; all of which were ameliorated with BGP-15 adjunct therapy. Here, we are the first to show that OXA penetrates the mitochondria, and, as a possible consequence of this, increases mtROS production. These data correspond with reduced diameter of isolated FDB fibers and shift in the fiber size distribution frequency of TA to the left. There was a tendency for reduction in intramuscular protein content, albeit apparently not via Murf1 (atrophy)- or p62 (autophagy)- dependent pathways. BGP-15 adjunct therapy protected against increased ROS production and improved mitochondrial viability 4-fold and preserved fiber diameter and number. Our study highlights BGP-15 as a potential adjunct therapy to address chemotherapy-induced skeletal muscle and mitochondrial pathology.
Nonparametric Estimators in Long-horizon regressions with nonstationary covariates

We consider predictability in long-horizon regression models with nonstationary predictors. The predictability is represented as the limiting form of the sum of covariances between long-horizon regressand and . rst di¤erences of integrated covariates. Kernel-based nonparametric estimator for predictability is considered. Asymptotic mean squared errors and normality of the estimator are presented. It is found that as the horizon grows to longer horizons, convergence rate of the estimators becomes slower than that in the case of shorthorizon model. Our results provide extensions of short-horizon inferences in Maynard and Shimotsu (2008) to long-horizon regressions.
Benchmarking Innovation Performance in Ireland ' s Three NUTS 2 Regions October 2002

The capability of a region to generate advanced technology, information and ultimately knowledge is regarded as the single most important force driving economic growth. This paper provides benchmarks for the innovation performance of manufacturing businesses in the three NUTS 2 regions of Ireland (Border Midlands & West, South & East, Northern Ireland) in 1999, just prior to the start of the current Structural Funds programmes. Consideration of the regional innovation systems of Ireland's three NUTS 2 regions suggests (a) the knowledge generation and diffusion sub-systems of NI and the S&E are notably stronger and more evenly spread than that in the BMW region; (b) the knowledge application sub-system is notably weaker in NI. The implication is that the S&E region has the strongest RIS, having both a concentration of knowledge generating institutions and a relatively strong company base. These differentials are reflected in the innovation benchmarks with a clear regional hierarchy emerging topped by the S&E followed by the BMW region and Northern Ireland. In most cases, however, differences in innovation performance between the S&E and the BMW region prove statistically insignificant, while those between NI and the other two regions are stronger and often statistically significant. Indicators of AMT adoption suggest little consistent difference between the S&E and BMW regions and lower adoption rates in NI. As before this reflects both the structural weaknesses of the NI manufacturing sector and lower plant-level AMT usage rates. Our analysis suggests that in terms of the geography of innovation performance in Ireland there is little clear justification for the BMW/S&E regionalisation and no clear justification for any differentiation in policy or innovation support regimes between S&E and BMW regions. More important is the North-South differential with NI lagging behind the S&E and BMW regions on almost every indicator examined primarily due to innovation performance by plants in the 10-19 employee sizeband.
Test evidence for the OECD countries, 1965‐85

Examines empirically the proposition that a large public enterprise sector for an economy acts as an obstacle to a healthy rate of economic growth. The empirical analysis concentrates on the experience of the OECD countries for the years 1965‐85. Single and multiple equation‐models of economic growth are specified with the size of the public enterprise (PE) sector included as an explanatory variable. In general, the evidence fails to support the hypothesis of a negative relationship between PE and economic growth.
JADE: a Heterogeneous Multiprocessor System Simulation Platform Using Recorded and Statistical Application Models

Recent advances in the computing industry towards multiprocessor technologies shifted the dominant method of performance increase from frequency scaling to parallelism. Due to its huge design space, evaluating candidate multicore architectures in early design stages, when the number of variables is at its maximum, is challenging. Simulation plays an important role in estimating architecture performance, and evaluating how the system would perform on average, as well as boundary cases, would require many iterations to cover various cases in the application input domain. Since simulation of heterogeneous systems with enough details are naturally slow, exhaustively evaluating the system for all possible inputs require tremendous amount of time and resources. While there exist quite a few multiprocessor simulators available, they often rely on individual input specification, demanding extensive input enumeration and simulation runs, diminishing their effectiveness for complex systems evaluation. Aiming to fulfill this gap, we publicly release a heterogeneous multiprocessor system simulation platform called JADE, targeting fast initial architecture explorations. Opposing to most simulators, JADE uses statistical models that follow distributions extracted from internal structures of the application, providing a more convenient and systematic exploration approach to evaluate systems performance. JADE simulation features include detailed electrical and optical interconnections, detailed memory hierarchy infrastructure, and built-in energy analysis allowing studies of a broad spectrum of systems.
An Algorithm for Clustering Data Based on Rough Set Theory

A variety of cluster analysis techniques exist to group objects having similar characteristics. While there have been recent advances in algorithms for clustering data, some are unable to handle uncertainty in the clustering process while others have stability issues. This paper proposes a new algorithm for clustering data based on rough set theory, which has the ability to handle the uncertainty in the clustering process.
Vehicles: Specifications, Topologies and a Practical Example

Battery chargers are essential components for further development of plug-in vehicles including electric or hybrid electric vehicles. The 3.3kW battery charges are widely used in plug-in vehicles in which the power source is the single phase ac grid. The auto industry has stringent requirements on the size, efficiency, temperature and packaging of the onboard chargers that are reviewed in this paper. Usually there is a power factor pre-regulator and an isolated DC/DC stage in a typical onboard charger. Different circuit topologies are feasible for both stages. Some of the most used topologies are reviewed in this paper. Some simulation results are provided and a practical example is presented. Different practical aspects of these chargers are presented and explained. 
Targeting of putative fimbrial gene for detection of S. Typhi in typhoid fever and chronic typhoid carriers by nested PCR.

INTRODUCTION It is important to identify Salmonella Typhi infection quickly to treat acute fever patients and to prevent transmission by chronic typhoid carriers; therefore, a very specific and sensitive diagnostic technique is highly desirable, especially in endemic areas. The objective of this study was to develop a PCR protocol targeting the putative fimbrial staA gene of S. Typhi. This is a preferred target gene that is specifically amplified in the S. Typhi serotype compared to the commonly targeted fliC gene which may also be amplified from the non-typhoidal Salmonella Munchen serotype. METHODOLOGY A new nested PCR primer methodology was designed to target the staA gene, which is a member of the fimbrial gene family specific to Salmonella Typhi only. RESULTS The primers were found to be very specific as the desired amplicon (377 bp) could be generated exclusively from S. Typhi strains including the reference strain (MTCC 3216) and 78 clinical isolates . Restriction digestion with HinfI confirmed the identity of the amplified DNA fragment in clinical specimens of S. Typhi origin. Furthermore, these primers were able to detect a minimum of three colony forming units per ml (1fg) in spiked blood samples. The detection sensitivity of the described primers is comparable to that of previously published primers targeting fliC gene sequences. CONCLUSIONS This study indicates that the primers targeting the putative fimbrial staA gene are very specific to the Typhi serotype and may be a better alternative to fliC targeted amplification based diagnosis.
Determination of appropriate time-windows for calculation of depletion-based limit reference points WCPFC-SC 9-2013 / MI-WP-02 A

Executive Summary This paper aims to further refine the definition of a biomass-based limit reference points for many WCPFC stocks (bigeye tuna, skipjack tuna, south Pacific albacore, southwest Pacific striped marlin, and yellowfin tuna) 2. A biomass-based limit reference point signifies an 'undesirable population state' and should be avoided with high probability by appropriate management action. SC8 recommended the use of the biomass-based limit reference point 20%SB F=0 , meaning that if the adult population is depleted to 20% of unfished reference levels it is considered to be in an undesirable state (i.e., management would seek to keep the estimated absolute level of spawning biomass well above 20%SB F=0). However, details necessary for explicitly calculating this reference point for WCPFC stocks required more discussion. SC8 requested further work on developing an appropriate time-window (t 1-t 2) over which to calculate the average unfished reference level (SB F=0, t1-t2) for SC9. The time-window should cover a time period thought to best represent current and likely future average environmental and stock productivity conditions. Several approaches to selecting an appropriate time period were examined including those based on environmental conditions (large-scale climatic cycles), species generation times (one and two generations), and indicative trends in recruitment and unfished spawning stock biomass collated from recent stock assessments used for the provision of management advice in the WCPFC. Assessment models were rerun to account for stock recruitment bias-corrections (recent update to MULTIFAN-CL) and to explore two options for calculating unfished biomass levels. Unfished biomass levels were calculated using 1) absolute recruitment levels taken directly from the estimation model (ABS) or by 2) scaling absolute estimated recruitment levels upwards according to the stock-recruitment relationship (SRR). Analyses indicated that reference levels of unfished spawning stock biomass and the resulting depletion-based reference point (SB current /SB F=0, t1-t2) were generally insensitive to the time period selected across species examined, regardless of the approach used to estimate unfished biomass levels. However, one approach (ABS) consistently led to a less conservative estimate of stock status relative to the limit reference point compared to the SRR approach. The value of 20%SB F=0,t1-t2 and the perceived risk of falling below that value will depend on the specified approach for calculating unfished biomass levels, so this will be an important consideration for defining limit reference points. The assumed value of steepness and the deviates around the stock-recruitment relationship (magnitude and temporal trends) will also …
Glucose enhancement of memory is modulated by trait anxiety in healthy adolescent males

Glucose administration is associated with memory enhancement in healthy young individuals under conditions of divided attention at encoding. While the specific neurocognitive mechanisms underlying this ‘glucose memory facilitation effect’ are currently uncertain, it is thought that individual differences in glucoregulatory efficiency may alter an individual’s sensitivity to the glucose memory facilitation effect. In the present study, we sought to investigate whether basal hypothalamic–pituitary–adrenal axis function (itself a modulator of glucoregulatory efficiency), baseline self-reported stress and trait anxiety influence the glucose memory facilitation effect. Adolescent males (age range = 14–17 years) were administered glucose and placebo prior to completing a verbal episodic memory task on two separate testing days in a counter-balanced, within-subjects design. Glucose ingestion improved verbal episodic memory performance when memory recall was tested (i) within an hour of glucose ingestion and encoding, and (ii) one week subsequent to glucose ingestion and encoding. Basal hypothalamic–pituitary–adrenal axis function did not appear to influence the glucose memory facilitation effect; however, glucose ingestion only improved memory in participants reporting relatively higher trait anxiety. These findings suggest that the glucose memory facilitation effect may be mediated by biological mechanisms associated with trait anxiety.
High Performance Message Passing Library for Maestro2 Cluster Network

A cluster has become a popular platform for high performance computing. Currently, many PC clusters are organized with cost-effective conventional wide-area network technologies to connect each processing elements. Here, it is difficult to extract potential performance of the cluster, since there is the disparity between the wide-area network technologies and the performance characteristics required by cluster computing. We have developed a network to build high performance PC cluster, called Maestro2 cluster network. This paper describes about high performance communication library for Maestro2, named MMP. First, we describe the novel technique, design, and implementation of Maestro2. Then, we present a design and an implementation of MMP. We also show experimental results to evaluate the basic performance of MMP and compare it with raw performance of Maestro2. The experimental results show that MMP can extract maximum performance from Maestro2.