Miracle-dz/UniFAR-FTUs huggingface dataset:
Double-Blind Data Discovery Using Double Cross for Large-Scale Wireless Sensor Networks With Mobile Sinks

Large-scale wireless sensor networks (WSNs) with mobile sinks present new challenges on data discovery because the locations of the mobile sinks cannot be predetermined. In this paper, we study the double-blind data discovery problem in a WSN, where the mobile sink(s) and the sensed data do not know the locations of each other a priori. To address this problem, we first propose a Random Line Walk (RLW) mechanism for message forwarding, and based on this forwarding mechanism, we further propose an efficient data discovery mechanism called Double Cross. Double Cross exploits a simple geometric property of a planar, i.e., for a couple of pairs of orthogonal lines in a planar, the probability that they intersect within the planar is larger than 99%. However, it does not depend on the geographic location or directional information on a node, which is difficult to obtain in such networks. Instead, each sensor node only needs to know the distances between the neighbor nodes within its transmission range. Analytical and simulation results show that Double Cross can achieve a higher successful discovery rate with lower energy consumption, compared existing work.
Estrés en decisiones cotidianas

Stress in personal decisions. Luce et al. developed a model to explain the role of emotions in decision making process. Our aim is to validate this model in real situations, using evaluation instruments based on Lazarus' theoretical framework. 154 people were asked about a decision they had recently taken, evaluating: primary and secondary appraisal, negative emotion associated potential, stress and negative affection level, and avoidance tendency. Data confirmed that primary valuation is related to negative affection level; on the other hand, on the contrary, the combined effect of primary and secondary valuation on the stress level of decision makers is not confirmed. We didn't find higher avoidance tendency in subjects with higher stress levels.
Strategies for Evaluating Dating Violence Prevention Programs

Abstract Adolescence represents an important opportunity to inform youth about healthy, non-violent relationships as they begin to form their own intimate relationships. There are many methodological and practical challenges to conducting educational efforts directed at adolescents, and even greater difficulties in evaluating such efforts. This paper discusses some of the known findings concerning predictors of abusive dating relationships and the research challenges of dating violence prevention, such as identifying and recruiting youth for participation. We identify current dating violence prevention programs that have an evaluation component, with an emphasis on program content and evaluation strategies. The paper concludes with a discussion of the Youth Relationships Project, a program designed to encourage healthy, non-violent relationships among youth who were raised in abusive environments. Benefits and limitations of research and evaluation strategies are discussed.
Towards building an integrated perspective on e-democracy

This paper evaluates the dominant perspectives for understanding e-democracy in practice. It argues that although these, on their own, only provide static and partial accounts of the role and implications of e-democracy, nevertheless they should not be disregarded. The paper proposes an integration of their key positions to generate a more rounded and complete account of the role of e-democracy in practice. It suggests that Giddens's Structuration Theory provides a starting point in this direction. A structuration perspective is able to integrate many of the diverse perspectives whilst simultaneously avoiding technological and social determinism by focusing attention on the interplay of social structures and agency in e-democracy practices. This perspective assists in illuminating the underlying institutional arrangements and structures in which e-democracy practices are embedded, as well as the strategies employed by human actors. It focuses attention on structures of signification, domination and legitimation that surround e-democracy practices and also how individuals are both enabled and constrained in these practices. It is argued that more complete and balanced accounts which emerge from such an integrated perspective could assist in developing a more effective e-democracy policy.
Evaluation of population pharmacokinetic models for amikacin dosage individualization in critically ill patients.

OBJECTIVES The aim of this study was to evaluate the reliability for dosage individualization and Bayesian adaptive control of several literature-retrieved amikacin population pharmacokinetic models in patients who were critically ill. METHODS Four population pharmacokinetic models, three of them customized for critically-ill patients, were applied using pharmacokinetic software to fifty-one adult patients on conventional amikacin therapy admitted to the intensive care unit. An estimation of patient-specific pharmacokinetic parameters for each model was obtained by retrospective analysis of the amikacin serum concentrations measured (n = 162) and different clinical covariates. The model performance for a priori estimation of the area under the serum concentration-time curve (AUC) and maximum serum drug concentration (C(max)) targets was obtained. KEY FINDINGS Our results provided valuable confirmation of the clinical importance of the choice of population pharmacokinetic models when selecting amikacin dosages for patients who are critically ill. Significant differences in model performance were especially evident when only information concerning clinical covariates was used for dosage individualization and over the two most critical determinants of clinical efficacy of amikacin i.e. the AUC and C(max) values. CONCLUSIONS Only a single amikacin serum level seemed necessary to diminish the influence of population model on dosage individualization.
Practising what we preach: towards a student-centred definition of feedback

Students appear to have an almost insatiable appetite for receiving feedback and the scholarly literature has acknowledged its central importance for learning. And yet there is no widely accepted definition of feedback, most definitions reflecting the perspective of the teacher rather than student. When staff at the University of New South Wales who had put a lot of time into providing feedback nevertheless failed to score highly on the course satisfaction survey question on feedback, staff conjectured that their students might not recognize what they are providing as constituting feedback. A study was undertaken to find out just how students would define feedback. This article provides the background to the study, describes its design and presents the definition of feedback as conceptualised by the students, and then considers its significance.
Enteric fever burden in North Jakarta, Indonesia: a prospective, community-based study.

INTRODUCTION We undertook a prospective community-based study in North Jakarta, Indonesia, to determine the incidence, clinical characteristics, seasonality, etiologic agent, and antimicrobial susceptibility pattern of enteric fever. METHODOLOGY Following a census, treatment centre-based surveillance for febrile illness was conducted for two-years. Clinical data and a blood culture were obtained from each patient. RESULTS In a population of 160,261, we detected 296 laboratory-confirmed enteric fever cases during the surveillance period, of which 221 (75%) were typhoid fever and 75 (25%) were paratyphoid fever. The overall incidence of typhoid and paratyphoid cases was 1.4, and 0.5 per thousand populations per year, respectively. Although the incidence of febrile episodes evaluated was highest among children under 5 years of age at 92.6 per thousand persons per year, we found that the burden of typhoid fever was greatest among children between 5 and 20 years of age. Paratyphoid fever occurred most commonly in children and was infrequent in adults. CONCLUSION Enteric fever is a public health problem in North Jakarta with a substantial proportion due to paratyphoid fever. The results highlight the need for control strategies against enteric fever.
Normal pituitary volumes in children and adolescents with bipolar disorder: A magnetic resonance imaging study

The volume of the pituitary gland in adults with bipolar disorder has previously been reported to be smaller than that of healthy controls. Such abnormalities would be consistent with the HPA dysfunction reported in this illness. We conducted a study of children and adolescents with bipolar disorder to determine whether size abnormalities in the pituitary gland are already present early in illness course. Magnetic resonance imaging (MRI) morphometric analysis of the pituitary gland was carried out in 16 DSM‐IV children and adolescents with bipolar disorder (mean age±sd=15.5±3.4 years) and 21 healthy controls (mean age±sd=16.9±3.8 years). Subjects underwent a 1.5 T MRI, with 3‐D Spoiled Gradient Recalled (SPGR) acquisition. There was no statistically significant difference between pituitary gland volumes of bipolar patients compared to healthy controls (ANCOVA, age, gender, and ICV as covariates; F=1.77, df=1,32, P=.19). There was a statistically significant direct relationship between age and pituitary gland volume in both groups (r=.59, df=17, P=.007 for healthy controls; r=.61, df=12, P=.008 for bipolar patients). No evidence of size abnormalities in the pituitary gland was found in child and adolescent bipolar patients, contrary to reports involving adult bipolar patients. This suggests that anatomical abnormalities in this structure may develop later in illness course as a result of continued HPA dysfunction. Depression and Anxiety 20:182–186, 2004. © 2005 Wiley‐Liss, Inc.
The Impact of Internet and Television Use on the Reading Habits and Practices of College Students

How much time do college students spend reading for recreational and academic purposes? Do Internet and television use displace or interfere with reading time? In this study, we used an innovative time-diary survey method to explore whether the time students spend on the Internet or watching television displaces time that would be spent reading for academic or recreational purposes. كم من الوقت يقضي طلاب الجامعة في القراءة لأسباب المطالعة والدراسة؟ هل استخدام التلفاز أو الشبكة العالمية يحل محل القراءة أو يتدخل فيها؟ في هذه الدراسة استخدمنا مسحا مبدعا قائما على كتابة يوميات بصدد قضاء الوقت كي نستقصي إذا كان الوقت الذي يقضي فيه الطلاب على الشبكة العالمية أو مشاهدة التلفاز يحل محل الوقت الذي كانوا قد سيقضوه بالقراءة لأسباب الدراسة أو المطالعة. 大学生究竟花多少时间于为消遣和为学术目的而阅读？ 互联网和电视的使用有没有取代或妨碍学生阅读的时间？ 在本研究中，我们采用一个创新的时间日记调查方法，以探究大学生花在互联网或看电视的时间有没有取代他们会用于为学术或为消遣目的而阅读的时间。 Combien de temps les etudiants de licence passent-ils a lire a des fins recreatives et d'etude ? Est-ce que l'utilisation d'Internet et de la television remplace ou interfere avec le temps consacre a la lecture ? Nous avons dans cette etude utilise une methode d'enquete innovante de journal budget-temps quotidien pour savoir si le temps que les etudiants passent sur Internet ou a regarder la television remplace le temps qu'il auraient passe a lire a des fins recreatives ou d'etude. Сколько времени тратят студенты колледжа на развлекательное и академическое чтение? Оказывают ли Интернет и телевидение существенное воздействие на время, которые студенты посвящают чтению? В данном исследовании был использован инновационный метод – сочетание дневника учета времени и анкетирования, – который позволяет ответить на эти вопросы. Cuanto tiempo pasan los estudiantes colegiales leyendo, ya sea para entretenerse o para sus estudios? Acaso la television y el Internet les quitan tiempo a estas actividades? En este estudio usamos un metodo innovador en forma de una encuesta de diario-de-tiempo para ver si el tiempo que los estudiantes pasan en el Internet o viendo television les quita tiempo que le hubieran dedicado a la lectura de recreo o de estudio.
Machine learning based rate adaptation with elastic feature selection for HTTP-based streaming

Dynamic Adaptive Streaming over HTTP (DASH) has become an emerging application nowadays. Video rate adaptation is a key to determine the video quality of HTTP-based media streaming. Recent works have proposed several algorithms that allow a DASH client to adapt its video encoding rate to network dynamics. While network conditions are typically affected by many different factors, these algorithms however usually consider only a few representative information, e.g., predicted available bandwidth or fullness of its playback buffer. In addition, the error in bandwidth estimation could significantly degrade their performance. Therefore, this paper presents Machine Learning-based Adaptive Streaming over HTTP (MLASH), an elastic framework that exploits a wide range of useful network-related features to train a rate classification model. The distinct properties of MLASH are that its machine learning-based framework can be incorporated with any existing adaptation algorithm and utilize big data characteristics to improve prediction accuracy. We show via trace-based simulations that machine learning-based adaptation can achieve a better performance than traditional adaptation algorithms in terms of their target quality of experience (QoE) metrics.
Javawock: A Java Class Recommender System Based on Collaborative Filtering

Many software development platforms provide a large number of library components to make it easy to build high quality software. On the other hand, it became more and more difficult for developers to find useful components in each development context because the amount of components provided became too large today. This paper proposes a recommender system that provides useful Java components (library class files) to a developer based on collaborative filtering (CF) . When a developer gives an unfinished Java program to the system, it investigates Java library class files used in the given program and finds Java programs that are similar to the given program from a program repository. Then, the sys- tem recommends to the developer Java library class files that were used in the similar programs but were not used in the developer's program. An experimental evaluation showed that the recommendation accuracy of the proposed system was much higher than that of a naive (non-CF) method in all four evaluation criteria (recall, precision, F1 value, and half-life utility).
Testing for complementarity and substitutability in case of multiple practices

A number of recent empirical studies of firm-level productivity (growth) have been concerned with establishing potential complementarity between multiple organizational design practices. These papers have drawn conclusions on basis of the effect of the interaction term between each possible pair of practices. In this paper we show that this approach may lead to misleading results in case more than two practices are considered. We develop a proper testing procedure for complementarity and substitutability in case there are multiple organizational practices that affect output. The testing methodology is illustrated by empirical examples of three and four innovation practices affecting productivity. The testing framework can easily be applied to test for supermodularity.
Should apparently uncomplicated monochorionic twins be delivered electively at 32 weeks?

Objectives. We aimed to estimate the optimal time of delivery and investigated the residual risk of fetal death after viability in otherwise uncomplicated monochorionic diamniotic twin pregnancies. Study design. A database of 576 completed multiple pregnancies that were managed in our tertiary referral fetal medicine department between 1996 and 2007 was reviewed and the uncomplicated 111 monochorionic and the 290 dichorionic diamniotic twin pregnancies delivered after 24 weeks were selected. The rate of fetal death was derived for two-week periods starting at 24 weeks’ gestation and the prospective risk of fetal death was calculated by determining the number of intrauterine fetal deaths that occurred within the two-week block divided by the number of continuing uncomplicated monochorionic twin pregnancies during that same time period. Results. The unexpected single intrauterine deaths rate was 2.7% versus 2.8% in previously uncomplicated monochorionic and dichorionic diamniotic pregnancies, respectively. The prospective risk of unexpected stillbirth after 32 weeks of gestation was 1.3% for monochorionic and 0.8% for dichorionic pregnancies. Conclusions. In otherwise apparently uncomplicated monochorionic diamniotic pregnancies this prospective risk of fetal death after 32 weeks of gestation is lower than reported and similar to that of dichorionic pregnancies, so does not sustain the theory of elective preterm delivery.
Modeling Trajectories in Social Program Outcomes for Performance Accountability

Government and public focus on accountability for program outcomes, combined with practical and ethical constraints on experimental designs, make nonexperimental studies of social programs an increasingly common approach to producing information on program performance. In this paper, we compare the effectiveness of alternative nonexperimental evaluation methods used with longitudinal data to produce information about social program outcomes. The analysis is applied in an evaluation of a demonstration program designed to help young parents and their partners make the transition from receiving public transfer income to earned income. Empirical findings indicate that modeling outcome trajectories using multilevel methods generates more complete information about the nature of the program effects, relative to standard econometric alternatives as commonly applied in evaluations. With increased access to sources of administrative and management information system data covering multiple time points, we urge researchers to help social policy and program decision-makers appropriately model and produce more accurate information on program outcomes.
Lipid molecules influence early stages of yeast SNARE-mediated membrane fusion

Lipid molecules, structural components of biomembranes, have been proposed for an important role in membrane fusion. Through various techniques based on a protein-reconstituted vesicle–vesicle fusion system, we investigated the influence of several lipid molecules on different stages of a yeast soluble N-ethylmaleimide-sensitive factor attachment protein receptor (SNARE)-mediated membrane fusion process. Lipid compositions played a significant role in the early stages, docking and lipid mixing, while only exhibiting a minor effect on fusion pore formation and dilation phases, indicated by both small and large content mixing.
RPE and neuronal differentiation of allotransplantated porcine ciliary epithelium-derived cells

Purpose Cell replacement has the potential to be applied as a therapeutic strategy in retinal degenerative diseases such as retinitis pigmentosa and age-related macular degeneration (AMD) for which no adequate pharmacological and surgical treatments are currently available. Although controversial, the use of ciliary epithelium (CE)-derived cells is supported by evidence showing their differentiation into retinal phenotypes. This study examines the differentiation potential of porcine CE-derived cells in vitro and their survival, migration, morphological characteristics, and immunohistochemical phenotype in vivo, upon transplantation into the subretinal space of normal pigs. Methods Cells were isolated from the CE of postnatal pigs and were grown in a suspension sphere culture. Differentiation was assessed in vitro after exposure to laminin and the addition of serum. For transplantation, CE-derived spheres were dissociated, labeled with CM-DiI vital dye, and the cells were injected subretinally into one eye of eight week-old allorecipients. The eyes were examined at eight days and at two and four weeks after transplantation. Results Cells positive for neuronal and retinal pigment epithelium (RPE) markers were detected by immunohistochemistry in differentiation cultures. Reverse Transcriptase-Polymerase Chain Reaction (RT–PCR) revealed upregulation of neuronal markers after in vitro differentiation. CM-DiI dye-labeled CE-derived cells dissociated from primary spheres survived for up to four weeks after transplantation in vivo. Some of the surviving cells migrated distantly from the injection site. Large clusters of transplanted cells integrated into the RPE layer and multilayered RPE-like structures positive for RPE65 were often observed. Grafted cells were also identified in the neuroretina where 5%–10% were positive for recoverin, protein kinase C alpha (PKCα), and calbindin. Conclusions The efficient conversion to an RPE-like phenotype suggests that CE-derived cells could be a potential source of RPE for cell replacement. Our data also suggest that the ability of these cells to acquire neuronal phenotypes is influenced by the environment. Thus, pre-differentiated or (re)programmed CE-derived cells may be more amenable for retinal repair.
Artificial robot navigation based on gesture and speech recognition

Human-computer interaction is a hot topic in artificial intelligence. Artificial navigation is an interesting application of human-computer interaction, which control the action of the target device by speech or gestures information. The main virtue of artificial navigation is that it can control target device within a distance without any remote control device. This technology can be used in the areas of robot navigation, vehicle navigation in the industrial site and virtual reality. This paper proposed an algorithm for robot navigation which combining gesture recognition with speech recognition. Firstly, use nine gesture instructions and nine voice commands to establish reference models. Secondly, extract real-time Skeleton information and the current speech messages by Kinect. Thirdly, evaluate the fitness of the current gesture and speech information of the reference model. Finally, deduce the navigation control instructions to command the robot's movement. Gestures and speech can compensate for each other's deficiencies, improve the recognition rate and robustness of the algorithm, reduce the computational complexity of algorithm, makes the human-computer interaction more simple, clear and natural.
Comparison of cerebral blood flow measurement with [15O]-water positron emission tomography and arterial spin labeling magnetic resonance imaging: A systematic review

Noninvasive imaging of cerebral blood flow provides critical information to understand normal brain physiology as well as to identify and manage patients with neurological disorders. To date, the reference standard for cerebral blood flow measurements is considered to be positron emission tomography using injection of the [15O]-water radiotracer. Although [15O]-water has been used to study brain perfusion under normal and pathological conditions, it is not widely used in clinical settings due to the need for an on-site cyclotron, the invasive nature of arterial blood sampling, and experimental complexity. As an alternative, arterial spin labeling is a promising magnetic resonance imaging technique that magnetically labels arterial blood as it flows into the brain to map cerebral blood flow. As arterial spin labeling becomes more widely adopted in research and clinical settings, efforts have sought to standardize the method and validate its cerebral blood flow values against positron emission tomography-based cerebral blood flow measurements. The purpose of this work is to critically review studies that performed both [15O]-water positron emission tomography and arterial spin labeling to measure brain perfusion, with the aim of better understanding the accuracy and reproducibility of arterial spin labeling relative to the positron emission tomography reference standard.