Miracle-dz/UniFAR-FTUs huggingface dataset:
N200 in the Eriksen-Task: Inhibitory Executive Processes?

Abstract Event-related potentials were recorded (N = 18) in a hybrid go/no-go Eriksen flanker task to study the neural correlates of response inhibition. Three letters were assigned to either a left-hand, a right-hand, or a no-go response. These three letters appeared either as targets signaling the assigned response or as flankers surrounding the target. The lateralized readiness potentials revealed erroneous cortical response priming on go trials, in which the target and flankers were assigned to different hands, as well as on no-go trials, in which the flankers primed one of the two hands. Exactly these two conditions were accompanied by a fronto-central amplitude modulation of the N200, suggesting that this ERP component may reflect inhibitory executive functions. The data replicate and extend recent studies by Kopp, Rist, and Mattler (1996) and Kopp, Mattler, Goertz, and Rist (1996).
CAPACIDAD DEL MÉTODO DE PARCHES DE SUDORACIÓN PARA DETECTAR EL EFECTO DE UN ANTITRANSPIRANTE.

An effective antiperspirant is supposed to reduce sweat production by up to 50%, according to the manufacturers, but the scientific evidence in the literature is limited; possibly, the actual reduction may be so small that it may not be detected by conventional methods. The purpose of this study was to verify if the sweat patch method was able to detect the reduction in regional sweat loss that would be expected from using an antiperspirant. In addition, the magnitude of the effect was quantified. We verified the impact of an antiperspirant (condition A, skin treated with the product) on localized scapular sweat rate during 20 minutes of exercise at 78-80% HRmax, at 29.7 ± 0.5°C of ambient temperature and 54 ± 3.4% relative humidity, compared with a control condition (C, untreated skin). A statistically significant difference in scapular sweat rate was found between conditions: A = 14.6 ± 10.3 μL * min-1 and C = 19.2 ± 12.6 μL * min-1 (p = 0.001). This means that the participants secreted approximately 24% less sweat when using an antiperspirant, compared with the intact skin, as measured by the sweat patch method.
Fast 3D-Object Modeling with Kinect and Rotation Platform

High-fidelity reconstruction of complete objects is known as a particularly challenging problem. In this paper, we provide a system for object modeling with Kinect and rotation platform. Our modeling solution is divided into three steps: (1) system calibration, (2) Point cloud real time registration,(3) Mesh surface reconstruction and automatic texture mapping. We propose a easy-to-use calibration method for the first step, and based on the calibration result, a automatic texture-independent 3D point clouds registration method is presented. Finally, triangulate meshing and automatic texture mapping technique are used to recreate complete mesh model from the integrated point clouds. Our system is validated by the modeling of several real-world objects, and all the results show its effectiveness.
QoS-guaranteed resource allocation supporting multi-services in OFDM systems

Orthogonal frequency division multiplexing (OFDM) is a promising technique for the broadband air interface and has been widely deployed in current wireless transmission systems. With the adoption of adaptive modulation and coding, OFDM system can support multi-services dissemination. However, since different services have different quality of service (QoS) requirements, efficient resource allocation while satisfying various QoS requirements remains a challenge in OFDM systems, especially when the resource is relatively small compared with the great demand of services. In this paper, we study the problem of how to allocate the resource for QoS-constrained multiple services in OFDM systems over time-frequency dimensions. We investigate two algorithms to sort an optimal service queue for resource allocation. One is greedy algorithm with low complexity, and the other one is genetic algorithm which is closer to the optimal solution. Simulation results demonstrate that genetic algorithm performs better than greedy algorithm but with longer computational time.
Word Sense Disambiguation for English Quranic IR System

Quranic text Information Retrieval (IR) is quite demanding yet very trivial due to that user will not always use the exact keywords to retrieve the relevant Quranic text (verse). Many have tried to overcome this problem by expanding or reformulating the query entered by users using semantic approaches with resources such as ontologies and thesauri. Word Sense Disambiguation (WSD) has been less interest to the IR research community due to the insignificant or very little significant impact on the IR performance. Recently, researchers pay interest on applying WSD to the IR problem due to the intuition that deep semantic analysis on the query process will give good impact on the IR performance. However, we have not seen any articles mentioning the use of WSD for Quranic IR, which we are assuming less or none research on WSD for Quranic IR have been carried out. Thus, this motivates us to explore WSD impact on Quranic IR performance. This paper will describe our on-going project on building an English Quranic WSD at the early stage, which is still at the proposal stage, where we layout what could be the best approach, resources and disambiguation algorithm for Quranic WSD for IR.
What is social debt in software engineering?

“Social debt” in software engineering informally refers to unforeseen project cost connected to a “suboptimal” development community. The causes of suboptimal development communities can be many, ranging from global distance to organisational barriers to wrong or uninformed socio-technical decisions (i.e., decisions that influence both social and technical aspects of software development). Much like technical debt, social debt impacts heavily on software development success. We argue that, to ensure quality software engineering, practitioners should be provided with mechanisms to detect and manage the social debt connected to their development communities. This paper defines and elaborates on social debt, pointing out relevant research paths. We illustrate social debt by comparison with technical debt and discuss common real-life scenarios that exhibit “sub-optimal” development communities.
Factors Associated With Seeking and Using Professional Retirement-Planning Help

Summary This study examined the factors associated with retirement- planninghelp-seeking behavior. A specific effort was made to investigatewhether one factor or a set of factors could be used to distinguishbetween who was more or less likely to seek and use help from a pro-fessional rather than from another source (e.g., family, friends, col-leagues,themedia,etc.)whenmakingretirement-planningdecisions.Results from a logistic regression were used to conclude that gender,income, financial behaviors, retirement attitude, and risk tolerancewere significantly related with professional retirement help-seekingbehavior. It was found that women versus men, those who (a) hadhigherincomes,(b)exhibitedbetterfinancialbehaviors,(c)hadapos-itive and proactive attitude toward retirement, and (d) had a higherlevel of risk tolerance were more likely to seek and use help fromfinancial professionals when making retirement investmentdecisions. DISCUSSION AND IMPLICATIONS The findings presented in this article suggest that the general con-sensus concerning the type of person who is or is not more likely toseek and use professional retirement planning help may need to bere-examined and adjusted. The logistic regression analysis showedthatWhite/Caucasianmarriedmenarenotnecessarilymorelikelytoseek and use professional retirement guidance as might be expected.It was found, instead, when all other demographic, socioeconomic,and attitudinal factors were accounted for, that women were morelikely to seek and use help from a professional. This finding con-firmed Carole’s (1997) conclusion that men are more likely thanwomentorelyontheirownknowledgeandintuition,orseekandusehelp from a friend, colleague, or other source, rather than turning to aprofessional for help.Why might women be more likely than men, holding all other fac-tors constant, to seek and use professional help? One suggestion maybe that men tend to be more confident than women when it comes tomaking financial decisions. Barber and Odean (1999) found that menare more prone to overconfidence than women, and that as a result,men tend to avoid professional assistance when making investmentdecisions. Unfortunately, Barber and Odean also reported that
YouTubeEvent: On large-scale video event classification

In this work, we investigate the problem of general event classification from uncontrolled YouTube videos. It is a challenging task due to the number of possible categories and large intra-class variations. On one hand, how to define proper event category labels and how to obtain training samples for these categories need to be explored; on the other hand, it is non-trivial to achieve satisfactory classification performance. To address these problems, a text mining pipeline is first proposed to automatically discover a collection of video event categories. Part-of-Speech (POS) analysis is applied to YouTube video titles and descriptions, and WordNet hierarchy is employed to refine the category selection. This results in 29, 163 video event categories. A POS-based query method is then applied to video titles, and 6, 538, 319 video samples are obtained from YouTube to represent these categories. To improve classification performance, video content-based features are complemented with scores from a set of classifiers, which can be regarded as a type of high-level features. Extensive evaluations demonstrate the effectiveness of the proposed automatic event label mining technique, and our feature fusion scheme shows encouraging classification results.
Framework of Spatial Decision Support System for Large-Scale Public Building Evacuation

Buildings or constructions are the basis of modern human life. While unexpected and sudden emergencies happen in large-scale public buildings bring great lost of wealth and casualties. How to control such extreme events and make efficient evacuation is quite a problem for emergency planners and decision makers. In this paper, a spatial approach based on Exploratory Spatial Data Analysis (ESDA) technology is described to build a Spatial Decision Support System (SDSS) for large-scale public building evacuation. Method and application of ESDA for building environment spatial risk appraisal is the core algorithmic model for environment analysis module and the basis of evacuation routing optimization. Framework structure of SDSS for large-scale public building evacuation is explicated. SDSS could not only bring emergency routing scheme for evacuees, but also provide reliable environment risk related spatial information for emergency management decision making.
Analysis of the duality of three phase PWM converters with DC voltage link and DC current link

The duality of three-phase pulse-width modulation (PWM) converters with DC current and DC voltage links is analyzed by means of space-vector calculus for the example of a forced commutated rectifier system. The power-invariant transformation of the converter phase voltages or line currents into complex image quantities (space vectors) allows the presentation of the converter system as a complex space-vector voltage source or current source; its initial value is defined by the switching status of the converter system. The modulation principles (e.g., optimized pulse patterns) known from converters using DC voltage link systems, the guidelines concerning the dimensioning of power circuit components, and considerations relating to control are applied to the theory governing DC current link converters. <<ETX>>
Image stylization by oil paint filtering using color palettes

This paper presents an approach for transforming images into an oil paint look. To this end, a color quantization scheme is proposed that performs feature-aware recolorization using the dominant colors of the input image. In addition, an approach for real-time computation of paint textures is presented that builds on the smoothed structure adapted to the main feature contours of the quantized image. Our stylization technique leads to homogeneous outputs in the color domain and enables creative control over the visual output, such as color adjustments and per-pixel parametrizations by means of interactive painting.
Identifying relevant event content for real-time event detection

A variety of event detection algorithms for microblog services have been proposed, but their accuracy relies on the microblog feeds they analyse. Existing research explores datasets that are collected using either a set of manually predefined terms or information from external sources. These methods fail to provide comprehensive and quality feeds for real-time event detection. In this paper, we present a novel adaptive keyword identification approach to retrieve a greater amount of event relevant content. This approach continuously monitors emerging hashtags and rates them by their similarity to specific pre-defined event hashtags using TF-IDF vectors. Top rated emerging hashtags are added as filter criteria in real time. By comparing our proposed approach, called CETRe (Content-based Event Tweet Retrieval) with an existing baseline approach applied to real-world events, we show that CETRe not only identifies event topics and contents, but also enables better event detection.
Discussion Graphs: Putting Social Media Analysis in Context

Much research has focused on studying complex phenomena through their reflection in social media, from drawing neighborhood boundaries to inferring relationships between medicines and diseases. While it is generally recognized in the social sciences that such studies should be conditioned on gender, time and other confounding factors, few of the studies that attempt to extract information from social media actually condition on such factors due to the difficulty in extracting these factors from naturalistic data and the added complexity of of including them in analyses. In this paper, we present a simple framework for specifying and implementing common social media analyses that makes it trivial to inspect and condition on contextual information. Our data model---discussion graphs---captures both the structural features of relationships inferred from social media as well as the context of the discussions from which they are derived, such as who is participating in the discussions, when and where the discussions are occurring, and what else is being discussed in conjunction. We implement our framework in a tool called DGT, and present case studies on its use. In particular, we show how analyses of neighborhoods and their boundaries based on geo-located social media data can have drastically varying results when conditioned on gender and time.
The Effects of Text Structure Instruction on Middle-Grade Students' Comprehension and Production of Expository Text.

THE EFFECTS OF instruction and practice in a reading study strategy which dealt with text structure on students' reading and writing skills was investigated. One hundred and fourteen seventh-grade students were assigned to either an experimental group receiving instruction and practice in a hierarchical summary procedure used after reading social studies material, a conventional group receiving instruction and practice comprised of answering and discussing questions after reading social studies material, or a control group receiving no special instruction. Results indicated that the instruction and practice in the hierarchical summary procedure enhanced students' recall for relatively unfamiliar, but not relatively familiar, social studies material and had a positive effect on the quality of students' expository writing.
Tumor‐targeted chemotherapy with the nanopolymer‐based drug NC‐6004 for oral squamous cell carcinoma

Cisplatin (CDDP) has been a key drug for chemotherapy in patients with head and neck squamous cell carcinoma. Nephrotoxicity is one of its adverse reactions that are dose limiting. To increase its antitumor effects and reduce such toxicity problems, polymeric micelles carrying CDDP (NC‐6004) have been developed. The present study was designed to evaluate the efficacy and safety of NC‐6004 for oral squamous cell carcinoma. In vitro antitumor activity was assayed in four oral squamous cell carcinoma cell lines. To investigate the antitumor and nephrotoxic effects of NC‐6004, nude mice bearing OSC‐19 were administered NC‐6004 or CDDP. The in vitro growth‐inhibitory effect of NC‐6004 was significantly less than that of CDDP. However, both NC‐6004 and CDDP showed equivalent antitumor effects in vivo. Mice with CDDP developed renal cell apoptosis; however, those injected with NC‐6004 were almost free of renal cell injury. Moreover, in an orthotopic tongue cancer model using OSC‐19, NC‐6004 reduced the rate of sentinel lymph node metastasis to lower than that with CDDP. In conclusion, considering the potential advantages in terms of noticeable antitumor activity, lymphatic drug delivery and reduced nephrotoxicity, NC‐6004 represents a significant structural improvement in the development of a platinum complex.
A Realistic Utilization of Nanotechnology in Molecular Imaging and Targeted Radiotherapy of Solid Tumors

Precise dose delivery to malignant tissue in radiotherapy is of paramount importance for treatment efficacy while minimizing morbidity of surrounding normal tissues. Current conventional imaging techniques, such as magnetic resonance imaging (MRI) and computerized tomography (CT), are used to define the three-dimensional shape and volume of the tumor for radiation therapy. In many cases, these radiographic imaging (RI) techniques are ambiguous or provide limited information with regard to tumor margins and histopathology. Molecular imaging (MI) modalities, such as positron emission tomography (PET) and single photon-emission computed-tomography (SPECT) that can characterize tumor tissue, are rapidly becoming routine in radiation therapy. However, their inherent low spatial resolution impedes tumor delineation for the purposes of radiation treatment planning. This review will focus on applications of nanotechnology to synergize imaging modalities in order to accurately highlight, as well as subsequently target, tumor cells. Furthermore, using such nano-agents for imaging, simultaneous coupling of novel therapeutics including radiosensitizers can be delivered specifically to the tumor to maximize tumor cell killing while sparing normal tissue.
A Golden Braid: Allport, Goffman, Weick

One of the central tenets of Karl Weick’s work and one of his original contributions to organization theory is his insistence that organizational scholars should study structures of events rather than people, objects, or pseudo-objects, important as they all are. Through the operation of sensemaking, events may be portrayed as meaningful actions or random occurrences, but it is the connections among them that are central to organizing. This paper connects Karl Weick’s work to that of Floyd H. Allport and Erving Goffman, two among several writers who inspired Weick. These three authors shared an interest in what Allport called structuring, Goffman called ordering, and Weick called organizing of the events and experiences of everyday life. This genealogical presentation of their work attempts to situate their thoughts within contemporary debates in social sciences, including those determined by the spirit of the times.
Joint routing and scheduling in WiMAX-based mesh networks: A column generation approach

The problem of scheduling and tree routing in WiMAX/802.16 based mesh networks were not defined in the standard and are thus subject to extensive research. In this paper, we consider the problem of joint routing and scheduling in 802.16-based wireless mesh network, with the objective of determining a minimum length schedule that satisfies a given (uplink/downlink) end-to-end traffic demand. Minimizing the schedule length amounts to maximizing the spectrum spatial reuse by concurrently transmitting on as many links as possible, which we refer to as a transmission configuration (a group of links that can simultaneously transmit without violating the signal-to-interferenceplus- noise ratio (SINR) requirement). Our model is referred to as maximum spatial reuse (MSR). Since there is an overwhelming number of possible transmission configurations to be assigned to time slots, we adopt the column generation technique to construct our MSR model. We present two formulations for modeling MSR, namely the link-based column generation (CGLink) formulation and the path-based column generation (CGPath) formulation. These two formulations differ mainly in the number of routing decision variables. Our experimental results indicate that the path-based formulation needs much less computational (CPU) time than the link-based formulation in order to determine the (same) optimized solution with the same spatial reuse gain.
Dosimetry of wedged fields with asymmetric collimation.

Shaping of wedged fields with asymmetric collimators (independent jaws) produces dosimetric effects which need to be taken into account when calculating isodose distributions and accelerator monitor units. These effects were studied using ion chamber dosimetry in a water phantom. Wedged fields of 30 degrees to 60 degrees wedge angles were shaped by an asymmetric collimator. A system of dose calculation was developed to take into account the changes in dose in the open portion of the field. The formalism utilizes regular symmetric field parameters (e.g., Sc, Sp, and TPR). Calculated point doses and profiles agreed well with the measured data.
Chromosome Abnormalities in the Human Oocyte

Aneuploidy is the most commonly occurring type of chromosome abnormality and the most significant clinically. It arises mostly due to segregation errors taking place during female meiosis and is also closely associated with advancing maternal age. Two main aneuploidy-causing mechanisms have been described: the first involves the non-disjunction of entire chromosomes and can take place during both meiotic divisions, whereas the second involves the premature division of a chromosome into its 2 sister chromatids, followed by their random segregation, upon completion of meiosis I. To elucidate the causal mechanisms of maternally derived aneuploidy and the manner with which they affect the 2 meiotic divisions, a large number of oocytes and their corresponding polar bodies have been examined. Various classical and molecular cytogenetic methods have been employed for this purpose, and valuable data have been obtained. Moreover, research into the gene expression patterns of oocytes according to maturity, maternal age, and chromosome status has provided a unique insight into the complex nature of the biological processes and genetic pathways regulating female meiosis. Findings obtained from the cytogenetic and molecular analysis of oocytes will be reviewed in this article.