Miracle-dz/UniFAR-FTUs huggingface dataset:
Topology and migration-aware energy efficient virtual network embedding for green data centers

With the rapid proliferation of data centers, their energy consumption and green house gas emissions have significantly increased. Some efforts have been made to control and lower energy consumption of data centers such as proportional energy consuming hardware, dynamic provisioning and virtual-ization machine techniques. However, it is still common that many servers and network resources are often underutilized, and idle servers spend a large portion of their peak power consumption. We first built a novel model of a network virtualization in order to minimize energy usage in data centers for both computing and network resources by taking practical factors into consideration. Due to the NP-hardness of the proposed model, we have developed a heuristic algorithm for virtual network scheduling and mapping, considering expected energy consumption at different times, a data center architecture, and virtual network migration, as well as operation costs. Our evaluation results show that our algorithm could reduce energy consumption up to 40%, and take up to 57% higher number of virtual network requests over other existing virtual mapping schemes.
Generating Concise Rules for Retrieving Human Motions from Large Datasets

This paper proposes a method for retrieving human motion data with concise retrieval rules based on the spatio-temporal features of motion appearance. Our method first converts motion clip into a form of clausal language that represents geometrical relations between body parts and their temporal relationship. A retrieval rule is then learned from the set of manually classified examples using inductive logic programming (ILP). ILP automatically discovers the essential rule in the same clausal form with a user-defined hypothesis-testing procedure. All motions are indexed using this clausal language, and the desired clips are retrieved by subsequence matching using the rule. Such rule-based retrieval offers reasonable performance and the rule can be intuitively edited in the same language form.
A novel approach of gait recognition through fusion with footstep information

This paper is focused on two biometric modes which are very linked together: gait and footstep biometrics. Footstep recognition is a relatively new biometric based on signals extracted from floor sensors, while gait has been more researched and it is based on video sequences of people walking. This paper reports a directly comparative assessment of both biometrics using the same database (SFootBD) and experimental protocols. A fusion of the two modes leads to an enhanced gait recognition performance, as the information from both modes comes from different capturing devices and is not very correlated. This fusion could find application in indoor scenarios where a gait recognition system is present, such as in security access (e.g. security gate at airports) or smart homes. Gait and footstep systems achieve results of 8.4% and 10.7% EER respectively, which can be significantly improved to 4.8% EER with their fusion at the score level into a walking biometric.
An Investigation into the Perception of Colors under Dynamic Modulation of Color Rendering in Real Life Settings

An affirmative finding as whether color rendering can be strategically modulated would present additional significant benefits to the use of light emitting diodes, LEDs, in general illumination. The intent of this research is to appraise the perception of changes in color rendering (CR) when these happen in people’s surroundings, and verify our hypothesis that a range of such generated color distortions will be negligible under realistic viewing conditions. We report the results of a series of psychophysical experiments based on subjective ratings of color changes under continuously modulated color rendering. Visual tests were performed in a full scale real life scenario where subjects looked from three different angles at two identical dinning scenarios positioned side-by-side under incandescent (fixed) and LED illumination (changing CR). Our results confirmed our fundamental hypothesis, showing that the majority of subjects did not detect the color changes in their peripheral angles while the same color changes were noticeable with direct observation. This implies that, to some extent, it is possible to perform modulation of color rendering invisibly in the areas surrounding someone’s central view.
A Study on Effect on Internet Game Addiction, Ego Resilience, and School-Life Adjustment of Internet Game Addiction Prevention Program for Multicultural Children

Objectives: The present research aims to propose a preventive program for internet game addiction and identify how the program affects multicultural children’s game addiction, ego-resilience and school life adjustment. Methods/Statistical Analysis: The research subjects consist of an experimental group of 8 and a control group of 6 multicultural children, who attend upper class of elementary school, located in S city and have potential risk of internet game addiction. They were selected from the multicultural children support center in that city. A set of 8 sessions of prevention program were administered to the experimental group. A pretest was conduct before the program began and a post-test was given after the program to see differences. Findings: It was found that internet game addiction did decrease significantly in the experimental group, whereas their ego-resilience and school life adjustment also significantly increased. Thus, we might conclude that the proposed program exerted positive influence on all the three factors. Improvements/Applications: Such a result of the current research is expected to help multicultural children lead healthy lives.
The Effect of the Social Mismatch between Staff Auditors and Client Management on the Collection of Audit Evidence

ABSTRACT: This study provides both survey and experimental evidence to consider how social interactions between staff-level auditors and client management may affect staff auditors' perceptions and influence their decisions regarding the collection of audit evidence. During fieldwork, staff-level auditors have extensive interaction with client management. Survey evidence suggests that these staff-level auditors are often “mismatched” with client management, in terms of their experience, age, and accounting knowledge. Experimental results indicate that staff-level auditors may reduce the extent to which they collect evidence to avoid these interactions. Finally, the use of email communication with client management helped to mitigate the reduction in evidence collected caused by avoiding in-person interactions. Interestingly, when not collecting all the evidence, approximately half of the participants documented their findings in a vague or inappropriate manner, which would likely reduce the likelihood tha.
Understanding the Value of Social Media in Organisations: a Taxonomic Approach

While organizations strive to leverage the vast information generated daily from social media platforms and both decision makers and consultants are keen to identify and exploit this information’s value, there has been little research into social media in the business context. Social media are diverse, varying in scope and functionality, this diversity entailing a complex of attributes and characteristics, resulting in confusion for both researchers and organizations. Taxonomies are important precursors in emerging fields and are foundational for rigorous theory building. Though aspects of social media have been studied from various discipline perspectives, this work has been largely descriptive. Thus, while the need for a rigorous taxonomy of social media is strong, previous efforts to classify social media suffer limitations – e.g. lack of a systematic taxonomic method, overreliance on intuition, disregard for the users’ perspective, and inadequate consideration of purpose. Thus, this study was mainly initiated by the overarching question “How can social media in the business context be usefully classified? ” In order to address this gap, the current paper proposes a systematic method for developing a taxonomy appropriate to study social media in organizations context, combining Nickerson et al,’s (2012) IS taxonomy building guidelines and a Repertory grid (RepGrid) approach.
Research Article Factors Associated with Patient's Delay in Tuberculosis Treatment in Bahir Dar City Administration, Northwest Ethiopia

Background. Unknown proportions of tuberculosis cases remain undiagnosed and untreated as result of several factors which further increases the number of tuberculosis cases per index case. Objective. To identify factors associated with patient's delay in initiating treatment of tuberculosis. Methods. Cross-sectional study was employed from January to April, 2013, in Bahir Dar Ethiopia. A total of 360 patients were included. Data were collected from tuberculosis patients using a semistructured questionnaire. Data were entered and analyzed using SPSS version 16 windows. Multivariate logistic regression analysis was used to identify factors associated with patient delay. Results. Of all patients, 211 (62%) sought medical care after the WHO recommended period (21 days). The median patient delays of smear positive, smear negative, and extrapulmonary patients were 27 (IQR: 10–59), 30 (IQR: 9–65), and 31 (IQR: 10–150) days, respectively, with statistically significant variations among them (ANOVA: í µí°¹ = 5.96; í µí± < 0.003). Place of residence and educational status were the predictors of patient delay. Conclusion. Around two-thirds of all patients and more than half of smear positive tuberculosis patients were delayed in seeking medical care within the recommended period. Provision of DOTS service in the vicinity and health education on TB may reduce patient delay and its consequences.
HCI and the Web

Although one day was hardly enough time to pursue all of rhe topics in as much detail as we wanted, we did accomplish a lot and set forth very reasonable plans of action. One outcome was a forum on rhe Web ro continue rhe momentum of the workshop: see hrrp:/ /www.acm. org/sigchi/webhci/ for additional no res from rhis workshop, including rhe position papers, as well as information about other aspects of the Web that are of interest ro HCI professionals. Be assured rhat anything mentioned in rhis report (such as rhe Missing Link symposium mentioned below) will have information and links about iron rhe WebHCI page.
An intelligent numerical algorithm for solving system of linear algebraic equations

In this paper, a computationally simplified numerical algorithm is presented to solve the system of algebraic equations Ax = b directly, where A is an n x n real-coefficient matrix which may be ill-conditioned. The proposed method reduces the n order augmented matrix [A:b] using a simple procedure to single order augmented matrix [A':b'] and xis' will be determined using back substitution. We improve the condition of ill-conditioned system first and then solve the well-conditioned one. Numerical simulations show that the proposed method is comparable to the existing direct methods.
Travel motivation for Taiwanese hearing-impaired backpackers

ABSTRACT Why do hearing-impaired people desire to undertake outbound travel as backpackers despite their hearing and speaking limitations? To investigate the reasons, this study applied the push and pull model of travel motivation as the framework. A total of 30 hearing-impaired backpackers participated in face-to-face interviews and responded to questions concerning their motivation to travel overseas. The results of this study reveal many unique motivation themes in the push and pull groups; specifically, five push themes (constraints of group tours, self-challenge, independence, different experience, and invitation by hearing-impaired friends) and two pull themes (enjoy local culture and lifestyle and the “I have been there” feeling) were identified. Furthermore, the participants’ desire to travel as backpackers is based on their previous negative experiences in group tours. Moreover, they prefer backpacking with hearing-impaired partners than with normal-hearing partners. Furthermore, for them, their independence enables them to their parents that they can travel alone. In addition, the study findings suggest that “communication negotiation” should be considered for inclusion in the motivation typology as a new dimension for hearing-impaired backpackers. Finally, the current study provides valuable insights into the behaviors of hearing-impaired backpackers and recommendations for tourism operators.
Discriminating Similar Languages with Linear SVMs and Neural Networks

This paper describes the systems we experimented with for participating in the discriminating between similar languages (DSL) shared task 2016. We submitted results of a single system based on support vector machines (SVM) with linear kernel and using character ngram features, which obtained the first rank at the closed training track for test set A. Besides the linear SVM, we also report additional experiments with a number of deep learning architectures. Despite our intuition that non-linear deep learning methods should be advantageous, linear models seems to fare better in this task, at least with the amount of data and the amount of effort we spent on tuning these models.
Computationally efficient modeling of proprioceptive signals in the upper limb for prostheses: a simulation study

Accurate models of proprioceptive neural patterns could 1 day play an important role in the creation of an intuitive proprioceptive neural prosthesis for amputees. This paper looks at combining efficient implementations of biomechanical and proprioceptor models in order to generate signals that mimic human muscular proprioceptive patterns for future experimental work in prosthesis feedback. A neuro-musculoskeletal model of the upper limb with 7 degrees of freedom and 17 muscles is presented and generates real time estimates of muscle spindle and Golgi Tendon Organ neural firing patterns. Unlike previous neuro-musculoskeletal models, muscle activation and excitation levels are unknowns in this application and an inverse dynamics tool (static optimization) is integrated to estimate these variables. A proprioceptive prosthesis will need to be portable and this is incompatible with the computationally demanding nature of standard biomechanical and proprioceptor modeling. This paper uses and proposes a number of approximations and optimizations to make real time operation on portable hardware feasible. Finally technical obstacles to mimicking natural feedback for an intuitive proprioceptive prosthesis, as well as issues and limitations with existing models, are identified and discussed.
BDF-α : A Multistep Method with Numerical Damping Control

When solving numerically the stiff second order ODE system obtained after semidiscretizing the wave-type partial differential equation (PDE) with the finite element method (FEM), and similarly to the HHT- method, which allows the numerical damping of the undesirable high frequency modes associated to FEM semidiscretization, we have constructed a modification of the 2-order BDF method (the BDF2 method), which we have called BDF- . This new method is second-order accurate and with a smaller local truncation error than the BDF2, it is unconditionally stable for some values of and it permits a parametric control of numerical dissipation.
High-resolution spectroscopy of QY Sge: an obscured RV Tauri variable?

ABSTRA C T The first high-resolution optical spectra of QY Sge are presented and discussed. Menzies & Whitelock, on the basis of photometry and low-resolution spectra, suggested that this G0I supergiant was obscured by dust and seen only by scattered light from a circumstellar reflection nebula. The new spectra confirm and extend this picture. Photospheric lines are unusually broad indicating scattering of photons from dust in the stellar wind. The presence of very broad, Na D emission lines is confirmed. Sharp emission lines from low levels of abundant neutral metal atoms are reported for the first time. An abundance analysis of photospheric lines shows that the stellar atmosphere is of approximately solar composition but with highly condensable (e.g. Sc and Ti) elements depleted by factors of 5 ‐ 10.
An Evaluation of Size-based Traffic Feature for Intrusion Detection

Network attacks have become a significant threat to organizations and effective intrusion detection systems have to be developed detect these attacks before they inflict harm to the internal network infrastructure. Denial of service (DoS) and probing attacks are the most common attacks. While time-based traffic features provide information to identify attacks, size-based traffic features enhance the identification accuracy. In this study, we add a size-based feature to an existing timebased feature intrusion detection system. The system is tested on a data set that includes both normal traffic and attack traffic from different types of attacks. The results indicate that size-based feature increases the accuracy of prediction. We also used meta-classification schemes such as bagging and boosting to examine if they improve the perforJISS ec 3 (1 ) 2007 www.jissec. o rg Journal of Information System Security
Variation in humpback whale (Megaptera novaeangliae) song length in relation to low-frequency sound broadcasts.

Humpback whale song lengths were measured from recordings made off the west coast of the island of Hawai'i in March 1998 in relation to acoustic broadcasts ("pings") from the U.S. Navy SURTASS Low Frequency Active sonar system. Generalized additive models were used to investigate the relationships between song length and time of year, time of day, and broadcast factors. There were significant seasonal and diurnal effects. The seasonal factor was associated with changes in the density of whales sighted near shore. The diurnal factor was associated with changes in surface social activity. Songs that ended within a few minutes of the most recent ping tended to be longer than songs sung during control periods. Many songs that were overlapped by pings, and songs that ended several minutes after the most recent ping, did not differ from songs sung in control periods. The longest songs were sung between 1 and 2 h after the last ping. Humpbacks responded to louder broadcasts with longer songs. The fraction of variation in song length that could be attributed to broadcast factors was low. Much of the variation in humpback song length remains unexplained.
Respiratory ATP synthesis as drug target for combating tuberculosis

The diarylquinoline TMC207 kills Mycobacterium tuberculosis by specifically inhibiting ATP synthase. We show here that human mitochondrial ATP synthase (50 % inhibitory concentration [IC50] of > 200 μM) displayed more than 20,000-fold lower sensitivity for TMC207 compared to that of mycobacterial ATP synthase (IC50 of 10 nM). Also, oxygen consumption in mouse liver and bovine heart mitochondria showed very low sensitivity for TMC207. These results suggest that TMC207 may not elicit ATP synthesis-related toxicity in mammalian cells. ATP synthase, although highly conserved between prokaryotes and eukaryotes, may still qualify as an attractive antibiotic target.
Efficient routing and centralized scheduling algorithms for IEEE 802.16 Mesh Networks

An IEEE 802.16 wireless system can provide broadband wireless access to subscriber stations and operate in mesh mode. The communication between a subscriber station and a base station can pass through one or more intermediate subscriber stations. The IEEE 802.16 standard provides a centralized scheduling mechanism that supports contention‐free and resource‐guarantee transmission services in mesh mode. However, the corresponding algorithm to this schedule is quite primitive in the standard. In this paper, we propose a more efficient way to realize this schedule by maximizing channel utilization. Our designs are divided into two phases: routing and scheduling. First, a routing tree topology is constructed from a given mesh topology by our proposed tree construction algorithm. Secondly, we allocate channel resources to the edges in the routing tree by our proposed scheduling algorithm. To further support the quality‐of‐service schedule, we extend our designs by addressing some issues such as service class, admission control and fairness. Simulation results show the superiority of our proposed algorithms over others. Copyright © 2011 John Wiley & Sons, Ltd.
Mathematical Analysis and Simulation of Information Diffusion on Networks

It is essential to consider the structure of information media in order to investigate the phenomena of information diffusion. As an example of continuous media, we consider on Euclidean spaces in the ordinary geometry. We also know information networks which have a variety of metric and structure in the space as another example of discrete media. In this work, we are faced the limit of mathematical analysis of nonlinear structure of information networks, then perform the Monte Carlo computer simulation using the proposed method.
Rethinking learning disabilities. Understanding children who struggle in school

Counter-Reformation by the Catholics (secondary and university education was rejuvenated). Every chapter begins with an overview of objectives and opening questions. These are useful, and when coupled with the ‘For further reflection’ and ‘Suggested activity’ text boxes throughout the chapters, offer readers many opportunities for engaging their thinking. Readers can expand their knowledge through the companion discussions and publisher’s website, although work needs to be done to make sure that the website interfaces seamlessly with the book. This book offers key points about American education history that are timely and organised, and the book is especially useful for student courses relating to the history of education.
Recognition of atherosclerotic plaques and their extended dimensioning with computerized tomography angiography imaging

Abstract In this paper the authors raise the issue of automatic discrimination of atherosclerotic plaques within an artery lumen based on numerical and statistical thresholding of Computerized Tomography Angiographic (CTA) images and their advanced dimensioning as a support for preoperative vessel assessment. For the study, a set of tomograms of the aorta, as well as the ilio-femoral and femoral arteries were examined. In each case a sequence of about 130-480 images of the artery cutoff planes were analyzed prior to their segmentation based on morphological image transformation. A crucial step in the staging of atherosclerotic alteration is recognition of the plaque in the CTA image. To solve this problem, statistical and linear fitting methods, including the least-squares approximation by polynomial and spline polynomial functions, as well as the error fitting function were used. Also, new descriptors of atherosclerotic changes, such as the lumen decrease factor, the circumference occupancy factor, and the convex plaque area factor, are proposed as a means of facilitating preoperative vessel examination. Finally, ways to reduce the computational time are discussed. The proposed methods can be very useful for automatic quantification of atherosclerotic changes visualized by CTA imaging.