Miracle-dz/UniFAR-FTUs huggingface dataset:
Quality of evidence revealing subtle gender biases in science is in the eye of the beholder

Significance Ever-growing empirical evidence documents a gender bias against women and their research—and favoring men—in science, technology, engineering, and mathematics (STEM) fields. Our research examined how receptive the scientific and public communities are to experimental evidence demonstrating this gender bias, which may contribute to women’s underrepresentation within STEM. Results from our three experiments, using general-public and university faculty samples, demonstrated that men evaluate the quality of research unveiling this bias as less meritorious than do women. These findings may inform and fuel self-correction efforts within STEM to reduce gender bias, bolster objectivity and diversity in STEM workforces, and enhance discovery, education, and achievement. Scientists are trained to evaluate and interpret evidence without bias or subjectivity. Thus, growing evidence revealing a gender bias against women—or favoring men—within science, technology, engineering, and mathematics (STEM) settings is provocative and raises questions about the extent to which gender bias may contribute to women’s underrepresentation within STEM fields. To the extent that research illustrating gender bias in STEM is viewed as convincing, the culture of science can begin to address the bias. However, are men and women equally receptive to this type of experimental evidence? This question was tested with three randomized, double-blind experiments—two involving samples from the general public (n = 205 and 303, respectively) and one involving a sample of university STEM and non-STEM faculty (n = 205). In all experiments, participants read an actual journal abstract reporting gender bias in a STEM context (or an altered abstract reporting no gender bias in experiment 3) and evaluated the overall quality of the research. Results across experiments showed that men evaluate the gender-bias research less favorably than women, and, of concern, this gender difference was especially prominent among STEM faculty (experiment 2). These results suggest a relative reluctance among men, especially faculty men within STEM, to accept evidence of gender biases in STEM. This finding is problematic because broadening the participation of underrepresented people in STEM, including women, necessarily requires a widespread willingness (particularly by those in the majority) to acknowledge that bias exists before transformation is possible.
ExPlanTech: Applying multi-agent systems in production planning

This paper presents work carried out within the 'ExPlanTech' project (IST-1999-20171) funded in part by the European Commission's Information Technologies Programme. The mission of the ExPlanTech technology transfer project is to introduce, customize and exploit the multi-agent production planning technology (ProPlanT multi-agent system research prototype) in two specific industrial enterprises. An agent-driven service negotiations and decision process, based on usagecentred knowledge about task requirements, substitutes the traditional production planning activity. We introduce a methodology for integration of the projectdriven production planning based on agent-based engineering within the existing enterprise resource planning system. This novel production planning technology will facilitate optimization of resource utilization and supplier chain while meeting the customer demands. This paper describes a FIPA-compliant implementation of the ExPlanTech technology at the LIAZ Pattern Shop manufacturing company. We describe the structure of the agent community, types of agents, implementation of the planning strategy and its incorporation within the real production environment.
Rapamycin Reverses Status Epilepticus-Induced Memory Deficits and Dendritic Damage

Cognitive impairments are prominent sequelae of prolonged continuous seizures (status epilepticus; SE) in humans and animal models. While often associated with dendritic injury, the underlying mechanisms remain elusive. The mammalian target of rapamycin complex 1 (mTORC1) pathway is hyperactivated following SE. This pathway modulates learning and memory and is associated with regulation of neuronal, dendritic, and glial properties. Thus, in the present study we tested the hypothesis that SE-induced mTORC1 hyperactivation is a candidate mechanism underlying cognitive deficits and dendritic pathology seen following SE. We examined the effects of rapamycin, an mTORC1 inhibitor, on the early hippocampal-dependent spatial learning and memory deficits associated with an episode of pilocarpine-induced SE. Rapamycin-treated SE rats performed significantly better than the vehicle-treated rats in two spatial memory tasks, the Morris water maze and the novel object recognition test. At the molecular level, we found that the SE-induced increase in mTORC1 signaling was localized in neurons and microglia. Rapamycin decreased the SE-induced mTOR activation and attenuated microgliosis which was mostly localized within the CA1 area. These findings paralleled a reversal of the SE-induced decreases in dendritic Map2 and ion channels levels as well as improved dendritic branching and spine density in area CA1 following rapamycin treatment. Taken together, these findings suggest that mTORC1 hyperactivity contributes to early hippocampal-dependent spatial learning and memory deficits and dendritic dysregulation associated with SE.
A new computational approach for cortical imaging

Estimation of current or potential distribution on the cortex is used to obtain information about neural sources from the scalp recorded electroencephalogram. If the active sources in the brain are superficial, the estimated field distribution on the cortex also yields information about the active source configuration. In these cases, these methods can be used as source localization methods. In this study, we concentrate on finite-element-based cortex potential estimation. Usually these methods require surface interpolation of the recorded voltages at the electrodes onto the entire scalp surface. We propose a new computational approach which does not require the use of surface interpolation but does it implicitly and uses only the recorded data at the electrodes. We refer to this method as the systematic approach (SA). We compare the SA with the surface interpolation approach (IA) and show that the SA is able to produce somewhat better accuracy than the IA. However, the main asset is that the sensitivity of the cortical potential maps to the regularization parameter is significantly lower than with the IA.
Data management and functional annotation of the Korean reference plasma proteome

As human plasma is clinically valuable, reference data from healthy donors can be a useful source for serological biomarker studies. To make a reliable protein catalog of the Korean plasma proteome, various experimental methods, such as 1‐D HPLC, 2‐D LC, and narrow ranged 2‐DE prior to MALDI‐TOF and LC‐MS/MS, were used to identify unique plasma proteins in this population. To compile candidates with high confidence, two different search engines were used to select proteins with a false discovery rate of less than or equal to 1%. From this rigorous selection process, we initially identified 494 distinct Korean plasma proteins. After multilevel stepwise filtrations with stringent, identification parameters were applied to acquire plasma protein list with the maximum confidence; a total 185 distinct plasma proteins were identified and integrated into our Korean human plasma proteome project database along with several bioinformatics analysis results, including gene ontology, biological pathways, tissue expression, and disease association. This is the first publicly available single ethnic group‐specific plasma proteome database (http://proteomix.org/khppp/).
Neuropeptide S Activates Paraventricular Oxytocin Neurons to Induce Anxiolysis

Neuropeptides, such as neuropeptide S (NPS) and oxytocin (OXT), represent potential options for the treatment of anxiety disorders due to their potent anxiolytic profile. In this study, we aimed to reveal the mechanisms underlying the behavioral action of NPS, and present a chain of evidence that the effects of NPS within the hypothalamic paraventricular nucleus (PVN) are mediated via actions on local OXT neurons in male Wistar rats. First, retrograde studies identified NPS fibers originating in the brainstem locus coeruleus, and projecting to the PVN. FACS identified prominent NPS receptor expression in PVN-OXT neurons. Using genetically encoded calcium indicators, we further demonstrated that NPS reliably induces a transient increase in intracellular Ca2+ concentration in a subpopulation of OXT neurons, an effect mediated by NPS receptor. In addition, intracerebroventricular (i.c.v.) NPS evoked a significant somatodendritic release of OXT within the PVN as assessed by microdialysis in combination with a highly sensitive radioimmunoassay. Finally, we could show that the anxiolytic effect of NPS seen after i.c. v. or intra-PVN infusion requires responsive OXT neurons of the PVN and locally released OXT. Thus, pharmacological blockade of OXT receptors as well as chemogenetic silencing of OXT neurons within the PVN prevented the effect of synthetic NPS. In conclusion, our results indicate a significant role of the OXT system in mediating the effects of NPS on anxiety, and fill an important gap in our understanding of brain neuropeptide interactions in the context of regulation of emotional behavior within the hypothalamus. SIGNIFICANCE STATEMENT Given the rising scientific interest in neuropeptide research in the context of emotional and stress-related behaviors, our findings demonstrate a novel intrahypothalamic mechanism involving paraventricular oxytocin neurons that express the neuropeptide S receptor. These neurons respond with transient Ca2+ increase and somatodendritic oxytocin release following neuropeptide S stimulation. Thereby, oxytocin neurons seem essential for neuropeptide S-induced anxiolysis, as this effect was blocked by pharmacological and chemogenetic inhibition of the oxytocin system.
Semi‐automatic volumetric assessment of perihemorrhagic edema with computed tomography

Background and purpose: Magnetic resonance imaging (MRI) shows perihemorrhagic edema (PHE) after intracerebral hemorrhage (ICH) with high contrast, but the procedure is often difficult or not available for clinical use. The aim of the present study was to establish and validate an observer independent method for quantification of PHE on computed tomography (CT) by comparing with simultaneously performed MRI.
Integration of percussion robots "RobotMusic" with the Data-Suit "BodySuit": Technological Aspects and Concepts

The proposed system is conceived as a part of a project entitled: "artificial body and real body". The focus on this project is to explore this dualism and the relationship between artificiality and reality of human body in a context of musical theater. For that purpose, a performance involving an automated mechanical instruments ("RoboticMusic") and a gesture controller ("BodySuit") were developed. In particular; in this paper, the proposed system is introduced which integrates the "BodySuit" and the "RoboticMusic". Furthermore, the possible uses and applications will be also discussed. "BodySuit" refers to a gesture controller in a data-suit type, which is wearied by a performer. By using such kind of gesture controller system, performer's gestures are converted into electronic signals that are used to control the movement of each of the components of the "RobotMusic". The RobotMusic is composed by five different kinds of percussion robots (humanoid robot type or so called "bio-inspired arms"). In this paper, we will detail and discuss their technical matters.
The effect of a labyrinth experience and setting on attention, affect, and tranquility, among garden staff

At some point, people may face an experience that causes sensory overload, mental fatigue, or stress from living in an urban environment. Recovery from the negative influences of the urban environment, according to Attention Restoration Theory (ART) and Stress Recovery Theory, is based on resting executive attention functioning and positive affect repair. Both theories highlight nature as an environment that is effective in restoring executive attention functioning and positive affect repair. This study explores the effect that setting and a meditative labyrinth experience has on affect, tranquility, and executive attention functioning. The study placed 60 participants into four treatments to explore these relationships, a labyrinth in an urban setting without meditation, a labyrinth in an urban setting with meditation, a labyrinth in a natural setting without meditation, and a labyrinth in a natural setting with meditation. After the participants participated in one of the four conditions, they were given a questionnaire to measure affect and tranquility, then an Attention Network Task (ANT). Affect was measured by the Positive Affect and Negative Affect Schedule (PANAS). Tranquility was measured using a tranquility index developed for previous research. The directed attention or executive attention functioning was measured by the attention network task (ANT).
Parallel Particle Swarm Optimization Algorithm Based on CUDA in the AWS Cloud

The algorithm of Particle Swarm Optimization (PSO) will be very time-consuming when deal with the large-scale problem. A parallel algorithm of PSO based on CUDA in the AWS Cloud is approached to speed up the process and improve the efficiency of the algorithm. The experimental results demonstrate up to 80 times speedup compared to run the PSO algorithm on local CPU.
Comparison of 6D ring cooler schemes and dipole cooler for μ+ μ- collider development

We discuss the various schemes to use ring coolers for 6D cooling for mu+mu- colliders. The earliest successful cooler used dipoles and quadrupoles and a high dispersion low beta region. This was also proposed in the form of solenoids. Recently there have been many new ideas. The simplest is to use a simple dipole ring with high-pressure gas absorber or Li hydride. We show the results of simulations and compare with the results for other cooler schemes.
Accurate localization in short distance based on computer vision for mobile sensors

In order to maximize the utilization of mobile sensor network, formation of sensor set and localization of each sensor node must be implemented. It is required that localization is one of the most important functionality of mobile sensor nodes. In this paper, we present a technique which improves the relative location of the MSN with a computer vision technology. This technique effects only in short distance but only with low price sensors, we achieved precise localization in the resolution of 10 centimeters. The well known perspective-3-point problem have been exploited for the precise short distance localization. By experiment we present an interrelation between angle of camera view and a LED pattern interval. We measures the distance of the counterpart vehicle and vehicles shares distance information of obstacle and the relative vehicles with possible cooperation of vehicles. The angle of a vehicle can be identified by digital compass. Finally, with a share of location information we can achieve localization of mobile sensor nodes with high accuracy.
Hierarchical Learning of Dimensional Biases in Human Categorization

Existing models of categorization typically represent to-be-classified items as points in a multidimensional space. While from a mathematical point of view, an infinite number of basis sets can be used to represent points in this space, the choice of basis set is psychologically crucial. People generally choose the same basis dimensions - and have a strong preference to generalize along the axes of these dimensions, but not "diagonally". What makes some choices of dimension special? We explore the idea that the dimensions used by people echo the natural variation in the environment. Specifically, we present a rational model that does not assume dimensions, but learns the same type of dimensional generalizations that people display. This bias is shaped by exposing the model to many categories with a structure hypothesized to be like those which children encounter. The learning behaviour of the model captures the developmental shift from roughly "isotropic" for children to the axis-aligned generalization that adults show.
Multihop MAC: IEEE 802.11s Wireless Mesh Networks

This chapter presents IEEE 802.11s, an emerging standard for wireless mesh networks (WMNs). IEEE 802.11s proposes multihop forwarding at the MAC level, which is a new approach for building WMNs. Traditional solutions for WMNs use network-level routing protocols to allow multihop forwarding among wireless mesh nodes. IEEE 802.11s species multihop MAC functions for mesh nodes using a mandatory path selection mechanism named HWMP (Hybrid Wireless Mesh Protocol) and also provides a path selection framework for alternative mechanisms and future extensions. This chapter discusses the emerging standard details and compares this new solution for WMNs to traditional ones.
A Re-sampling Method for Class Imbalance Learning with Credit Data

Credit rating is a typical class imbalance problem. Over sampling methods are commonly used for dealing with this problem. This paper presents an improved over sampling approach based on synthetic minority over-sampling technique(SMOTE). First, use sample distribution of the minority class to estimate whether different types of samples are crossed. Then generate synthetic samples by samples in different class when different classes cross seriously. In addition, increase weights of part positive samples, which may be not on borderline. At last, the proposed method is evaluated on a credit data set. The results indicate that it is more effective than other methods for the class imbalance learning.
Obstacle avoidance for teleoperated underactuated aerial vehicles using telemetric measurements

The paper deals with the obstacle avoidance problem for unmanned aerial vehicles (UAVs) operating in teleoperated mode. First, a feedback controller that we proposed recently for the stabilization of the UAV's linear velocity is recalled. Then, based on sensory measurements, a control strategy is proposed in order to modify the reference velocity on-line in the neighborhood of obstacles so as to avoid collisions. Both cases of telemetry and optical flow sensors are addressed. Stability properties of the proposed feedback controller are established based on a Lyapunov analysis. Simulations results are reported to illustrate the approach.
A Lightweight Software Design Process for Web Services Workflows

Service-oriented computing (SOC) suggests that many open, network-accessible services will be available over the Internet for organizations to incorporate into their own processes. Developing new software systems by composing an organization's local services and externally-available Web services is conceptually different from system development supported by traditional software engineering lifecycles. Consumer organizations typically have no control over the quality and/or consistency of the external services that they incorporate, thus top-down software development lifecycles are impractical. Software architects and designers will require agile, lightweight processes to evaluate tradeoffs in system design based on the "estimated" responsiveness of external services coupled with known performance of local services. We introduce a model-driven software engineering approach for designing systems (i.e. workflows of Web services) under these circumstances and a corresponding simulation-based evaluation tool
Through-polymer-via for 3D heterogeneous integration and packaging

Microelectronics industry is moving towards three dimensional stacking, packaging and integration of chips to answer to the need for increased functionality, miniaturization and cost reduction of smart systems. Their increasing complexity require novel and more robust approaches for the fabrication of vertical-interconnections (vias) to connect chips, devices, interconnection layers and wafers in out of plane direction. However, due to significant technology difficulties and high production costs, existing 3D technologies have limited usages. This paper describes the development of a new and robust fabrication method for dense high-aspect-ratio conductive through-polymer-vias for three-dimensional stacking, packaging and heterogeneous integration of semiconductor dies and wafers. Our approach relies on patterning micro-pillars in a 350 μm thick layer of photo resist on a carrier wafer or substrate. The pillars are conformal coated with a metal film and subsequently encapsulated inside an epoxy molding compound, resulting in vertical through-polymer interconnect vias (TPV). For subsequent interconnect processing, a clean and free of epoxy top surface of the pillars is crucial which was achieved by using foil assisted transfer molding technology. Even for very thin pillars with extreme aspect ratios of >15 clean connection surfaces are obtained. Advantages of this technology are: pillars are more easily exposed and wetted by the plating solution, faster metallization than bottom-up plating, no voiding nor trapping of plating chemicals, suitable for parallel fabrication, lithographically defined, enabling layout variations and extremely accurate positioning of the vias. The technology is promising for low-cost, large-scale parallel fabrication of micro-vias for 3D heterogeneous integration and packaging.
Utterance types in the August dialogues

August, a Swedish multi-modal spoken dialogue system featuring an animated agent, was used to collect a database of spontaneous computer-directed speech. The system was designed with several simple domains rather than a single complex one. It was installed in a public location in the center of Stockholm and was available for the general public during six months. The people who interacted with the system were given little or no information on what they could expect the system to understand. In this paper, we draw on the experiences gathered in course of the development of the August system and discuss findings in a database of more than 10,000 utterances. The aim of the paper is to address the issue of how the different types of utterances found in the database reflect the demands and strategies of the users. The categorization of the speech input into utterance types and the subsequent analysis of these types will be discussed, and possible implications for modeling future dialogue systems will be covered briefly.
Ad-hoc Affectance-selective Families for Layer Dissemination in IoT Subnets: Poster Abstract

Information dissemination protocols for ad-hoc wireless networks frequently use a minimal subset of the available communication links, defining a rooted Broadcast Tree. In this work, we focus on the core challenge of disseminating from one layer to the next one of such tree. We call this problem Layer Dissemination. We study Layer Dissemination under a generalized model of interference, called Affectance. The affectance model subsumes previous models, such as Radio Network and Signal to Inteference-plus-Noise Ratio. We present randomized and deterministic protocols for Layer Dissemination. Our theoretical analysis provides guarantees on schedule length. We also present simulations of a real network-deployment area contrasting the performance of our randomized protocol, which takes into account affectance, against previous work for interference models that ignore some physical constraints.