Miracle-dz/UniFAR-FTUs huggingface dataset:
Decoupling-Based Self-Interference Cancellation in MIMO Full-Duplex Wireless Transceivers

In this paper, the applicability of the lossless network as a self- interference cancellation technique is verified. By means of an experimental method - a 2X2 multiple-input-multiple-output antenna setup of two adjacent magnetoelectric dipole units - the self-interference cancellation performance is analyzed. By employing the proposed technique, the empirical assessment has shown that the individual terms of self-interference can be suppressed by more than 90 dB. The lossless network technique relies on reactive components - capacitors and inductors - as construction blocks. The calculation of these components - for a full-constellation network of generalized-Pi topology - is presented. The impact of the reactive component's tolerances on the the self-interference cancellation performance is studied as well.
fomgt multidimensional approach to information security risk anagement using FMEA and fuzzy theory

Because of the evolution and widespread use of the Internet, organisations are becoming more susceptible to attacks on Information Technology Systems. These attacks result in data losses and alterations, and impact services and business operations. Therefore, to minimise these potential failures, this paper presents an approach to information security risk management, encompassing Failure Mode and Effects isk management MEA uzzy theory Analysis (FMEA) and fuzzy theory. This approach analyses five dimensions of information security: access to information and systems, communication security, infrastructure, security management and secure information systems development. To illustrate the proposed model, it was applied to a University Research Group project. The results show that the most important aspects of information security risk are communication security, followed by infrastructure. © 2014 Elsevier Ltd. All rights reserved.
An Individualized Music-Based Intervention for Acute Neuropsychiatric Symptoms in Hospitalized Older Adults With Cognitive Impairment: A Prospective, Controlled, Nonrandomized Trial

Background: Neuropsychiatric symptoms are common features of dementia, and these occur in three fourths of patients on psychogeriatric inpatient units. These symptoms have traditionally been treated with pharmacological agents, but many medications are as likely to harm patients with dementia as to help them. As a result, nonpharmacological interventions are increasingly being investigated as ways to reduce these symptoms. Objective: The current study evaluated the impact of an individualized music-based intervention on agitation, negative mood, positive mood, compliance with care, need for one-on-one nursing staff intervention, and need for PRN medication. Method: Participants in this study were older adults who were admitted to a geriatric behavioral inpatient unit for acute agitation or behavioral disturbance. Twenty patients were in a treatment as usual group and 21 were in the individualized music group. Results: Agitation, negative mood, and positive mood all benefited from the music-based intervention, with resulting large effect sizes. Resisting care level also significantly benefited from the intervention, with a resulting medium effect size. Conclusion: These findings indicate that an easily implemented and reproducible music-based intervention, which is well tolerated and without adverse side effects, can be an effective way to reduce neuropsychiatric symptoms associated with dementia on a hospital unit.
The MNA ® revisited : what does the data tell us ?

Scientific Symposium Proceedings XIXth IAGG World Congress of Gerontology and Geriatrics Monday, 6 July 2009 Paris, France Screening A Has food intake declined over the past 3 months due to loss of appetite, digestive problems, chewing or swallowing difficulties? 0 = severe decrease in food intake 1 = moderate decrease in food intake 2 = no decrease in food intake B Weight loss during the last 3 months 0 = weight loss greater than 3 kg (6.6 lbs) 1 = does not know 2 = weight loss between 1 and 3 kg (2.2 and 6.6 lbs) 3 = no weight loss C Mobility 0 = bed or chair bound 1 = able to get out of bed / chair but does not go out 2 = goes out D Has suffered psychological stress or acute disease in the past 3 months? 0 = yes 2 = no
Management of Pregnant Women after Bariatric Surgery

The prevalence of obesity is growing worldwide, and strategies to overcome this epidemic need to be developed urgently. Bariatric surgery is a very effective treatment option to reduce excess weight and often performed in women of reproductive age. Weight loss influences fertility positively and can resolve hormonal imbalance. So far, guidelines suggest conceiving after losing maximum weight and thus recommend conception at least 12–24 months after surgery. As limited data of these suggestions exist, further evidence is urgently needed as well for weight gain in pregnancy. Oral glucose tolerance tests for the diagnosis of gestational diabetes mellitus (GDM) should not be performed after bariatric procedures due to potential hypoglycaemic adverse events and high variability of glucose levels after glucose load. This challenges the utility of the usual diagnostic criteria for GDM in accurate prediction of complications. Furthermore, recommendations on essential nutrient supplementation in pregnancy and lactation in women after bariatric surgery are scarce. In addition, nutritional deficiencies or daily intake recommendations in pregnant women after bariatric surgery are not well investigated. This review summarizes current evidence, proposes clinical recommendations in pregnant women after bariatric surgery, and highlights areas of lack of evidence and the resulting urgent need for more clinical investigations.
How do Leaders Share Knowledge ?

Problem: The number of MNCs in the world are expanding and there is an ever-growing interest in how knowledge is shared since it is said to improve the organization's competitive advantage. It is further argued in existing literature that leadership, and more specifically the leadership behaviors, play a role in how knowledge is shared within multinational corporations. However, few examples from the international setting exist, which led the authors of this thesis to further explore this area of research. Purpose: The purpose of this research paper is to explore what types of leadership behaviors influence knowledge sharing in a multinational corporation, and how these behaviors impact how leaders share knowledge. Methodology: In order to fulfill the purpose of this thesis and to properly answer the research question a qualitative approach was chosen. The empirical data was collected through a single case study of a Swedish MNC, Alpha, with subsidiaries abroad. The sample consisted of six participants who hold leadership positions within Alpha, and who continuously travel abroad to the subsidiaries in their work assignments. Findings: The authors of this thesis found evidence that leaders working in an international setting, such as an MNC, need to possess certain behaviors found in the description of both transactional and transformational leaders. However, the empirical data contribute to the current body of research by showing that these leaders also need to possess the behavior of cultural awareness, to have a deeper understanding of how the different cultures are represented within an organization.
K-Floors HCPP Model Based Performance Analysis of Indoor Ultra-Dense WLANs

This paper analyzes the ultra-dense networks (UDNs) in a high-rise building using stochastic geometry. First, starting from a K-ﬂoors model which describes the spatial distribution of the network nodes, we propose a K-ﬂoors hard core point process (KHCPP) model to describe the spatial distribution of simultaneous transmitting nodes in a CSMA type of wireless network (i.e., K-ﬂoors UDNs). In KHCPP, the coverage ranges of (access points) APs and the carrier sense ranges of (stations) STAsareallballswithradius R.Then,theclosed-formexpression for density of KHCPP is obtained. Furthermore, the coverage probabilities of two common association schemes, i.e., cross-ﬂoor max-SINR association (CFMSA) scheme and single-ﬂoor maxSINR association (SFMSA) scheme, are analyzed. The accuracy of our mathematical model is validated by simulations.
Electrical Load Prediction in Energy Internet via Linear Correlation Coefficient Approach

Focusing on the prediction of electrical load in different time scales in energy Internet (EI), we propose a linear correlation based load predicting algorithm which predicts the future load using the linear statistical correlation in load data sequence. The correlation factor is calculated, and its absolute value is used to filter out the relevant sample sequences. Then the candidate values are estimated using a linear fit algorithm. These candidate values are further weighted averaged such that the anticipated load values are obtained. Through preliminary simulations, we can realize an effective forecast of load data.
Flexible Shear Mode Transducer for Structural Health Monitoring Using Ultrasonic Guided Waves

The application of the fundamental shear-horizontal wave mode for guided wave structural health monitoring is undoubtedly beneficial due to its nondispersive characteristics. Existing guided wave shear mode transducers are rigid and brittle, because of these characteristics, bonding them to irregular surfaces (i.e., curved surfaces) is challenging. There is a huge market interest in the development of a flexible shear mode transducer, which eases the transducer bonding process onto irregular surfaces and improves the surface contact between the transducer and the structure. This study presents a flexible shear mode transducer for structural health monitoring using low-frequency guided waves (20–120 kHz). The proposed transducer is manufactured using piezoceramic, and based on the results of this study, it exhibits the directional excitation of fundamental shear-horizontal mode at 20–120 kHz. Finite element analysis and laboratory experiments were conducted to study the behavior of the proposed transducer. Field trials were conducted on a liquid storage tank with an undulated surface (due to corrosion). The performance of the proposed transducer is also compared to the commercially available macro fiber composite transducers. The proposed transducer was driven by the industrialized ultrasonic guided wave inspection system; Teletest Focus+ in line with the application of tank floor inspection using ultrasonic guided waves.
Re-examining the Research on Parental Conflict, Coparenting, and Custody Arrangements

This article addresses 4 questions: First, how much weight should be given to parental conflict and the quality of the coparenting relationship in determining parenting time—specifically with respect to children’s living at least 35% time with each parent in joint physical custody? Second, to what extent are low conflict and cooperative coparenting connected to better outcomes for children? Third, to what degree are children’s outcomes linked to whether their parents take their custody disputes to court or have high legal conflict? Fourth, is joint physical custody associated with worse outcomes than sole physical custody for children whose parents have a conflicted, uncooperative coparenting relationship? Recent research does not support the idea that conflict—including high legal conflict—should rule out joint physical custody as the arrangement that best serves children’s interests. Parents with joint physical custody do not generally have significantly less conflict or more cooperative relationships than parents with sole physical custody. Conflict and poor coparenting are not linked to worse outcomes for children in joint physical custody than in sole physical custody. The quality of the parent–child relationship is a better predictor than conflict of children’s outcomes, with the exception of the most extreme forms of conflict to which some children are exposed. While continuing our efforts to improve parents’ relationships with one another, we should become more invested in helping both parents maintain and strengthen their relationships with their children.
Effect of diazotrophic plant growth promoting rhizobacteriaon seed germination of chickpea ( Cicera rietinum L. )

Plant growth-promoting rhizobacteria are a group of free-living bacteria that colonize the rhizosphere. In the present study, 12bacterial isolates have been isolated from the rhizosphereof chick pea cultures.The isolates have been screenedfor their capacity to produce particular metabolites (hydrocyanic acid production HCN, inorganic phosphates solubilizationand the proteins hydrolysis) and also screenedfor their antifungal activity against Fusariumoxysporum f. sp. ciceris.All isolates have presented a good antagonistic activity againstFusariumoxysporum f. sp. ciceris.Compared with the others isolates such as NfA, NfD and NfC have manifested a good proteolysis and phosphorus solubilizationcapacity, where the index varied from 1.83 to 3.03 and their antagonisticactivity againstFusariumoxysporum f. sp. Cicerishasreached20%. Finally, the selected isolates was tested in vivo on the seedsgermination of chickpea, where hasmanifested an interesting capacity to promoteseed germination and plants growth.In conclusion, the selected isolates, NfA, NfD and NfC have presented an excellent effect for promotion germination of the chick pea, where the vigor index registered ranged from 140 to 180.
Pedestrian avoidance in construction sites

This paper proposes a pedestrian detection pipeline consisting of an Intel RealSense R200 camera used for input to a Single Shot Multibox Detector based neural network for pedestrian detection. Unlike prior research the proposed system uses a neural network for detection, then establishes the distance of a pedestrian from the camera using stereoscopy in realtime using commonly available low cost hardware. Two networks are presented for pedestrian detection, the Single Shot Multibox Detector (SSD) 512, and the InceptionV4 network which has been modified to use the SSD design for pedestrian detection. Both networks are trained on a dataset created from footage captured at a Fulton Hogan site. The SSD InceptionV4 network achieves 1% mAP on the PASCAL VOC 2007 test dataset and 51% mAP on the Fulton Hogan dataset. The SSD 512 network achieves 93% mAP on the Fulton Hogan dataset and 66% mAP on the PASCAL VOC 2007 test dataset.
Enhanced Artificial Bee Colony based Workflow Scheduling for Cloud Computing Environment

Cloud computing is extremely and widely becoming popular because of its massive amount of applications through the internet. This service composition structured techniques which have been conscious through the web server selection through the cloud, can easily lead to growth on the price along with proficiency of cloud computing. This paper has focuses on the wokflow based scheduling techniques. The related work on cloud scheduling techniques have shown that the use of Ant colony optimization exhibits lower convergence rate towards the exact overall bare minimum even at excessive amount of proportions. Artificial bee colony optimization algorithm has been broadly acknowledged as a large-scale optimization algorithm of presentday attention for distributed optimization and control. Particle swarm optimization is limited to initial set of particles, wrongly selected particles tends to poor results. In order to overcome these constrains a new Artificial bee colony based workflow scheduling algorithm is suggested on behalf of cloud computing environment to reduce the response time further. Extensive experiments have shown that the proposed technique provide significant results as compared to few previous approaches.
Microbial Biogeography Along the Gastrointestinal Tract of a Red Panda

The red panda (Ailurus fulgens) is a herbivorous carnivore that is protected worldwide. The gastrointestinal tract (GIT) microbial community has widely acknowledged its vital role in host health, especially in diet digestion; However, no study to date has revealed the GIT microbiota in the red panda. Here, we characterized the microbial biogeographical characteristics in the GIT of a red panda using high-throughput sequencing technology. Significant differences were observed among GIT segments by beta diversity of microbiota, which were divided into four distinct groups: the stomach, small intestine, large intestine, and feces. The stomach and duodenum showed less bacterial diversity, but contained higher bacterial abundance and the most unclassified tags. The number of species in the stomach and small intestine samples was higher than that of the large intestine and fecal samples. A total of 133 core operational taxonomic units were obtained from the GIT samples with 97% sequence identity. Proteobacteria (52.16%), Firmicutes (10.09%), and Bacteroidetes (7.90%) were the predominant phyla in the GIT of the red panda. Interestingly, Escherichia–Shigella were largely abundant in the stomach, small intestine, and feces whereas the abundance of Bacteroides in the large intestine was high. Overall, our study provides a deeper understanding of the gut biogeography of the red panda microbial population. Future research will be important to investigate the microbial culture, metagenomics and metabolism of red panda GIT, especially in Escherichia–Shigella.
Secure Communications with Secondary User Selection in Underlay Cognitive Radio Networks

This paper investigates the effect of multiuser gain provided by the secondary user selection on the secrecy performance of the primary users. We propose a simple secondary user selection scheme and derive a closed-form lower bound of the achievable ergodic secrecy rate of the primary users. In the high signal-to-noise ratio (SNR) regime, asymptotic result shows that the multiuser gain scales logarithmically with the number of the secondary users for a fixed interference temperature. When there is no interference temperature constraint, more multiuser gain can be achieved as the secondary user transmits with a higher power. Theoretical and simulation results show that the interference from the secondary users is helpful and the multiuser gain enhances the security of the primary users greatly.
Training and low-pay mobility . The case of the UK , the Netherlands and Germany

This paper investigates the effect of training on low-pay mobility in the UK, the Netherlands and Germany. To estimate the ’true’ effect of training we correct for measurement error and transitory fluctuations of earnings. This is accomplished by using a random-effects multinomial logit model with a latent structure to correct for measurement error. Our results indicate that in the UK and in the Netherlands, training increases the likelihood for moving from low to higher pay. In Germany, we find a similar but not significant effect. In all three countries, we find that training reduces the likelihood for a transition from higher pay to low pay. However, this result is only significant in the UK. No complementarities are found in the effect of training with the effect of education and labour market experience.
BM_Virtual Enterprise Architecture Reference Model for Concurrent Engineering: An experiment

In order to test the potential of Virtual Enterprise (VE) organizational principles for Concurrent Engineering (CE) team work organization, an experiment applying the BM_Virtual Enterprise Architecture Reference Model (BM_VEARM) is organized. Three CE teams are asked to create a web site. The teams have been organized as follows: 1) CE distributed team (virtual team according to literature); 2) CE agile team (agile organization according to BM_VEARM) and 3) CE virtual team (virtual organization according to BM_VEARM), in order to complete the required task. The main objective of the experiment is to show that the three organization models of CE teams work effectively, and analyse the performance according to previously defined criteria. In this paper the results in terms of product quality are presented. The experiment has shown that better product quality, for the product quality aspects analysed, is achieved in cases when VE organization is applied.
Causes of employee turnover: A test of the Mobley, Griffeth, Hand, and Meglino model.

This study was a test of the Mobley, Griffeth, Hand, and Meglino turnover model. Data from employees of a mental health facility were collected on several variables contained in the model, including perceived job characteristics, personal employee characteristics, job satisfaction, perceived alternative employment opportunities, intention of quitting the job, and turnover. Two variables were added to those in the model—confirmation of preemployment expectancies and organizational commitment. The results of path analyses were consistent with the model, although with some modifications. Specifically, perceived alternative employment opportunities added nothing to the model as a direct cause of intention to quit or turnover, or as a moderator.
Characterization of Amoebae Interactions with Four Non-Pneumophila Legionella Species

ii ACKNOWLEDGEMENTS . iii LIST OF TABLES . vi LIST OF FIGURES . vii
A taxonomy and platform for anomaly detection

There are hundreds of anomaly detection methods developed for different purposes and using a wide range of theoretical backgrounds, from system theory and signal processing towards artificial intelligence techniques. Therefore, it is very difficult for a specialist in a given domain (e.g. finance, industrial engineering, networking, environment monitoring, etc.) to select an anomaly detection method that fits best for a given application. The goal of this paper is to propose a taxonomy for anomaly detection methods and also to present a platform that allows a developer to find and tune a given anomaly detection method that is optimal for an application. The platform provides the basic functionalities needed to acquire, process and visualize multidimensional data collected from different sources, as well as the means to test and compare different anomaly detection techniques.
Surface reconstruction of 3D objects using local moving least squares and K-D trees

In computer vision, surface reconstruction from the point cloud of 3D scanners is desirable to create solid models of the scanned objects. However, noise, outliers, holes, and redundant samples are unavoidable from real sampling data. In this research, a combination of methods are proposed to effectively deal with these problems. First K-D trees are used to stored the unorganized data. The k-nearest neighbors algorithm, robust local noise scale estimation, and bilateral filter are applied subsequently to find planes, delete outliers, and reduce noise. Then hole filling is performed by hole detection and the local moving least squares reconstruction method. Finally, parameterization mapping is employed before generating meshes from the Delaunay Triangulation. Experiments were conducted to show satisfactory performance of our method.
40-nm CMOS Wideband High-IF Receiver Using a Modified Charge-Sharing Bandpass Filter to Boost Q-Factor

A 40-nm CMOS wideband high-IF receiver is presented in this paper. The low-noise transconductance amplifier (LNTA) uses dual noise cancellation in order to improve its noise figure. The LNTA has also a folded-cascode structure to increase its output impedance and prepare for a current-mode passive mixer. This structure is merged into the output stage of the LNTA, so there is no need for extra transistors. Additionally, a modified charge-sharing bandpass filter with cross-connected transconductors to boost Q-factor is proposed and discussed. The highest voltage gain achieved by the receiver (RX) is 30 dB. The RX noise figure is 3.3 dB at the maximum gain, while the IIP3 is −2.5 dBm at 1 GHz. The area of the receiver is very competitive for the wide band considered, merely 0.137 mm2. The RX and clock generation circuitry drain 25 mA from a 0.9-V supply.