Miracle-dz/UniFAR-FTUs huggingface dataset:
Array calibration in the presence of multipath based on CODE criterion

Despite the potential advantages offered by high-resolution direction-of-arrival (DOA) estimation methods, their application to real systems has been very limited. One of the main reasons for this situation is the lack of robustness of these methods to the perturbations in the array manifold. Although the importance of proper array calibration has been recognized widely and many array calibration algorithms have been reported extensively in the literature, the array calibration in the presence of multipath has received relatively little attention. Based on the criterion of decorrelation (CODE), a novel cost function is constructed to achieve favorable array calibration in the presence of multipath. Simulation results using genetic algorithm are provided to demonstrate the effectiveness and behavior of the proposed algorithm.
Factors That Influence the Clinical Decision Making of Novice and Experienced Physical Therapists

Background The depth and breadth of prior experience informs clinical decision making in novice and experienced physical therapist clinicians. Objectives The aims of this research were to identify differences in clinical decision-making abilities and processes between novice and experienced physical therapist clinicians and to develop a model of the factors that influence clinical decision making. Design Qualitative research methods and grounded theory were used to gain insight into the factors and experiences that inform clinical decision making. Methods Three participant pairs (each pair consisted of 1 novice physical therapist and 1 experienced physical therapist) were purposively selected from 3 inpatient rehabilitation settings. Case summaries from each participant provided the basis for within- and across-case analyses. The credibility of the results was established through checking of the case summaries by the participants, presentation of low-inference data, and triangulation across multiple data sources and within and across participant groups. Results The factors that influenced clinical decision making were categorized as informative or directive. Novice participants relied more on informative factors, whereas experienced participants were more likely to rely on directive factors. An intermediate effect beyond novice practice was observed. Conclusions The results of this study may be used by educators and employers to develop and structure learning experiences and mentoring opportunities for students and novice learners with the aim of facilitating the development of skills and abilities consistent with expert clinical decision making.
Breakthrough innovation: the roles of dynamic innovation capabilities and open innovation activities

Purpose – This study aims to examine the roles of dynamic innovation capabilities and open innovation activities in breakthrough innovation. Drawing from the absorptive capacity perspective, organizational inertia theory, and open innovation, the authors seek to argue that dynamic innovation capabilities have a curvilinear effect on breakthrough innovation that is moderated by open innovation activities.Design/methodology/approach – A mail survey was sent to the top 1,000 firms in Taiwan, the target respondents being senior managers with experience in developing at least three successful breakthrough innovations in the past five years. A total of 218 usable questionnaires were collected, resulting in a respondent rate of 22.9 percent.Findings – The findings support the argument that dynamic innovation capabilities have an inverted U‐shape relationship with breakthrough innovation. Meanwhile, open innovation activities strengthen the positive effects of dynamic innovation capabilities on breakthrough innov.
Network Effects on Worker Productivity

We use data from an in-house call center of a multi-national mobile network operator to study how co-worker productivity affects worker productivity via network effects. We also exploit data from a field experiment to analyze how exogenous changes in worker productivity due to on-the-job training affect co-worker productivity, including non-trained workers. We show that there are strong network effects in co-worker productivity. This effect is driven by conformist behavior. We also show that exposure to trained workers increases the productivity of non-trained workers. This effect works through strategic complementarities (knowledge spillovers). We demonstrate how our network model of worker productivity can be used to inform a variety of practical decisions faced by personnel managers including the design of optimal training policy.
Influence Strategies in Marketing Channels: Measures and Use in Different Relationship Structures

The authors develop new measures of influence strategies in marketing channels (i.e., the means by which a firm's personnel communicate with its partners to affect their behavior) in order to examine associations with the strength of buyer-seller relationships (relationalism) and alternative governance structures (market, administered, franchise, and corporate). Study 1 was a field test of the new multi-item measure of influence strategies in a contractual channel system. The results confirm the predicted negative association between relationalism and the following influence strategies: threats, legalistic pleas, and requests. Study 2 replicated tests of the psychometric quality of the scales in all four forms of governance. The results show that (1) the frequency of recommendations, promises, and information exchange is associated positively with a global measure of relationalism and (2) the frequency of almost all supplier communications differs across the four governance structures.
A Comparative Study of Video Inpainting Techniques

Video Inpainting is an interesting and active subject in image and video processing. The objective of video inpainting techniques is the reconstruction of the missing holes after object removal in an unnoticeable form. Current video inpainting techniques are in general computationally complex due to the extensive search to find the most similar patch to fill in the missing frames. Moreover, unsatisfactory results appear when the missing hole is large. In this paper, we study various video inpainting techniques with respect to the quality of results and processing time. Furthermore, we conduct a comparative study between four techniques on the same video scenes and hardware. Strengths and drawbacks of each technique are discussed based on the open challenges.
Energy management and dynamic control in Composite Energy Storage System for micro-grid applications

Micro-grids that are infrastructure for implementation and utilization of renewable energy sources require high-power-density, high-energy-density storage. Composite Energy Storage System (CESS) is a combination of various energy storage technologies that offers not only above performance but also high efficiency and long life. For system management of CESS, problems of energy management and dynamic control are questioned. In this paper, we propose the Energy Manager that support both short-term and long-term requirements of the CESS. Dynamic control of specific Dual-Active-Bridge (DAB) converters in order to provide compatibility with commands from Energy Manager is presented.
IsoSCM: improved and alternative 3′ UTR annotation using multiple change-point inference

Major applications of RNA-seq data include studies of how the transcriptome is modulated at the levels of gene expression and RNA processing, and how these events are related to cellular identity, environmental condition, and/or disease status. While many excellent tools have been developed to analyze RNA-seq data, these generally have limited efficacy for annotating 3′ UTRs. Existing assembly strategies often fragment long 3′ UTRs, and importantly, none of the algorithms in popular use can apportion data into tandem 3′ UTR isoforms, which are frequently generated by alternative cleavage and polyadenylation (APA). Consequently, it is often not possible to identify patterns of differential APA using existing assembly tools. To address these limitations, we present a new method for transcript assembly, Isoform Structural Change Model (IsoSCM) that incorporates change-point analysis to improve the 3′ UTR annotation process. Through evaluation on simulated and genuine data sets, we demonstrate that IsoSCM annotates 3′ termini with higher sensitivity and specificity than can be achieved with existing methods. We highlight the utility of IsoSCM by demonstrating its ability to recover known patterns of tissue-regulated APA. IsoSCM will facilitate future efforts for 3′ UTR annotation and genome-wide studies of the breadth, regulation, and roles of APA leveraging RNA-seq data. The IsoSCM software and source code are available from our website https://github.com/shenkers/isoscm.
A fast and compact longest match prefix look-up method using pointer cache for very long network address

We propose a fast and compact longest match table look-up method for very long network addresses like IP version 6. This method uses two ideas for a routing-table arranged in a tree-structure. The first idea is to make table look-up fast by caching pointers to intermediate nodes in the tree, reducing the number of node traversals. The second idea is to reduce the memory size required for each node in the tree by one-third by eliminating common parts of addresses of adjacent nodes. Evaluating the performance of this method by using actual routing table data of an IP backbone network, we found it was five to ten times faster than a conventional method.
A Service Process Positioning Framework for Co-Productive Services

In manufacturing, process positioning frameworks are useful mental maps for guiding process reengineering. In contrast, there is no equivalent analytical framework for services despite their importance in today's economy. One reason might have been a lack of clear understanding of what truly defines a service -- until the emergence of the joint-production paradigm. In this paper, we develop a process positioning framework for co-productive services based on an analytical model of joint production between a service provider and a customer. We show that, as a task becomes more routine, it is desirable to decouple efforts, i.e., to make the provider's and the customer's efforts more substitutable, and to shift the service boundary to either the customer or the provider, whoever is the most efficient. Conversely, as a task becomes less routine, it is optimal to make efforts more complementary and to involve both parties in the service delivery. Based on our model, we offer prescriptions to improve service delivery efficiency and effectiveness.
Tumour cells which develop resistance to cytolysis by tumour necrosis factor have a different glycoform of a 105‐kda glycoprotein and lose the capacity to invade and metastasize

A plastic‐adherent variant of human myelomonocytic leukaemia cells (U937) is highly susceptible to direct TNF cytolysis in vitro. Previously, we found that a subline selected for resistance to TNF cytolysis (U937/R) was much less motile and more plastic‐adherent than the parental line. In the present study we show that U937 and U937/R cells have different glycoforms of a 105‐kDa cell‐surface glycoprotein. This protein is predominantly N‐glycosylated and has the physicochemical properties of the LAMP‐1 glycoprotein. In nude mice, U937 cells are highly malignant whereas U937/R cells form a benign, encapsulated tumour. Therefore, possession of a different glycoform of the 105‐kDa glycoprotein by U937/R cells correlates not only with loss of TNF susceptibility but also with reduced invasiveness and metastasis.
Factors of Competitiveness of Islamic Banks in the New Financial Order

This paper studies the factor of competitive conditions of conventional and Islamic banks operating in the same market in the MENA region. We determine the level of competitiveness between the two types of banks by using the PR-H statistic of Panzar and Ross (1987) and the Lerner index. Our estimations show that banking sectors in MENA operate under monopolistic competition. Our results confirm that Islamic banks are significantly more competitive than conventional banks and they express a higher degree of market power. We show also that profitability significantly increases with market power, but this does not warrant higher profitability levels for Islamic banks.
A robust low-overhead watermarking for field authentication of intellectual property cores

Most of existing field programmable gate array (FPGA) based watermarking algorithms have two primary weaknesses, large overhead and robustness. In this work, a robust low-overhead watermarking algorithm is proposed for intellectual property (IP) protection. The ownership is split into orderly small watermarks. The watermark positions are generated by the watermarks. Location mapping is performed to each position to make it not leak in verification. The real content of embedded watermarks is compressed to be one third of the original number. The configuration of small watermark has left lots of space for correcting. So, it can locate the attackers by checking each watermark. The experimental results illustrate a low-overhead on resource and delay. The efficiency and robustness of the proposed scheme are encouraging.
External rib structure can be predicted using mathematical models: An anatomical study with application to understanding fractures and intercostal muscle function

As ribs adapt to stress like all bones, and the chest behaves as a pressure vessel, the effect of stress on the ribs can be determined by measuring rib height and thickness. Rib height and thickness (depth) were measured using CT scans of seven rib cages from anonymized cadavers. A Finite Element Analysis (FEA) model of a rib cage was constructed using a validated approach and used to calculate intramuscular forces as the vectors of both circumferential and axial chest wall forces at right angles to the ribs. Nonlinear quadratic models were used to relate rib height and rib thickness to rib level, and intercostal muscle force to vector stress. Intercostal muscle force was also related to vector stress using Pearson correlation. For comparison, rib height and thickness were measured on CT scans of children. Rib height increased with rib level, increasing by 13% between the 3rd and 7th rib levels, where the 7th/8th rib was the widest part or “equator” of the rib cage, P < 0.001 (t‐test). Rib thickness showed a statistically significant 23% increase between the 3rd and 7th ribs, P = 0.004 (t‐test). Intercostal muscle force was significantly related to vector stress, Pearson correlation r = 0.944, P = 0.005. The three nonlinear quadratic models developed all had statistically significant parameter estimates with P < 0.03. External rib morphology, in particular rib height and thickness, can be predicted using statistical mathematical models. Rib height is significantly related to the calculated intercostal muscle force, showing that environmental factors affect external rib morphology. Clin. Anat. 28:512–519, 2015. © 2015 Wiley Periodicals, Inc.
Mycoplasma Pneumonia: An Unrecognized Cause of Fever of Unknown Origin in an Adult

A 26-year-old female was admitted for fever of unknown origin (FUO), headaches, left ankle edema, and a lower extremity rash consistent with erythema nodosum. She had no respiratory symptoms or family history of autoimmune diseases. A chest X-ray was negative for pneumonia or hilar adenopathy. Extensive autoimmune workup was negative. A chest, abdomen, and pelvis computed tomography scan was unremarkable and laboratory studies revealed no source of infection. On hospital day 5, the patient developed a mild productive cough. Her Mycoplasma pneumonia (MP) IgM was high, confirming the diagnosis of MP induced FUO. She was started on azithromycin 500 mg daily and within 24 hours her fevers and headaches resolved. Her left ankle edema and EN gradually improved over a course of a few weeks. This case report highlights the need for MP testing in the evaluation of fever of unknown origin, even in the absence of pulmonary manifestations.
Identifying Graphs from Noisy Observational Data

There is a growing amount of data describing networks—examples include social networks, communication networks, and biological networks. As the amount of available data increases, so does our interest in analyzing the properties and characteristics of these networks. However, in most cases the data is noisy, incomplete, and the result of passively acquired observational data; naively analyzing these networks without taking these errors into account can result in inaccurate and misleading conclusions. In my dissertation, I study the tasks of entity resolution, link prediction, and collective classification to address these deficiencies. I describe these tasks in detail and discuss my own work on each of these tasks. For entity resolution, I develop a method for resolving the identities of name mentions in email communications. For link prediction, I develop a method for inferring subordinate-manager relationships between individuals in an email communication network. For collective classification, I propose an adaptive active surveying method to address node labeling in a query-driven setting on network data. In many real-world settings, however, these deficiencies are not found in isolation and all need to be addressed to infer the desired complete and accurate network. Furthermore, because of the dependencies typically found in these tasks, the tasks are inherently inter-related and must be performed jointly. I define the general problem of graph identification which simultaneously performs these tasks; removing the noise and missing values in the observed input network and inferring the complete and accurate output network. I present a novel approach to graph identification using a collection of Coupled Collective Classifiers, C3, which, in addition to capturing the variety of features typically used for each task, can capture the intra- and inter-dependencies required to correctly infer nodes, edges, and labels in the output network. I discuss variants of C 3 using different learning and inference paradigms and show the superior performance of C3, in terms of both prediction quality and runtime performance, over various previous approaches. I then conclude by presenting the Graph Alignment, Identification, and Analysis (GAIA) open-source software library which not only provides an implementation of C 3 but also algorithms for various tasks in network data such as entity resolution, link prediction, collective classification, clustering, active learning, data generation, and analysis.
The influence of burnout on skills retention of junior doctors at Red Cross War Memorial Children's Hospital: a case study.

UNLABELLED This study used the Maslach Burnout Inventory to evaluate the degree of burnout among junior doctors at Red Cross War Memorial Children's Hospital (RXH), Cape Town, and the influence thereof on the retention of valuable skills in the hospital. It further considered measures that could be taken to mitigate the causes of burnout, by means of qualitative methods. BACKGROUND The research explores the significance of burnout and the role it plays in the retention of junior doctors at RXH. There has been an increase in the migration of medical doctors worldwide, with an exodus of doctors from South Africa. Along with the effects of HIV/AIDS, this places extra strain on those who remain. METHODOLOGY A two-part, mixed quantitative and qualitative study consisting of a validated measure, the Maslach Burnout Inventory, was sent to 39 junior doctors at RXH. Responses were received from 23 doctors (one of which was invalid), constituting a 60% response rate. The second part consisted of four semistructured interviews. RESULTS Of the 22 respondents, 100% experienced a high degree of burnout on one of the three scales of burnout, namely emotional exhaustion, depersonalisation and reduced accomplishment. Of those surveyed, 95% expressed an intention to leave RXH. CONCLUSION The degree of emotional exhaustion and depersonalisation experienced by the junior doctors at RXH was significantly higher than that in a normative sample of 1 104 doctors. Recruitment, improved management and planning, increased support, mentorship and a more empathetic administration were some of the factors suggested to mitigate the burnout experienced by the junior doctors.
C/EBPα Suppresses Lung Adenocarcinoma Cell Invasion and Migration by Inhibiting β-Catenin

Background/Aims: The transcription factor CCAAT/enhancer-binding protein α (C/EBPα) is a basic leucine zipper transcription factor that plays essential roles in tumor progression. Although decreased or absent C/EBPα expression in many cancers suggests a possible role for C/EBPα as a tumor suppressor, the functions of C/EBPα in lung adenocarcinoma remain unclear. Methods: Here, C/EBPα expression levels in 26 lung adenocarcinoma and para-carcinoma tissue samples were detected by qRT-PCR and immunohistochemistry. Cell transwell assays, wound healing assay and three-dimensional spheroid invasion assay were performed to assess the effects of C/EBPα on migration and invasion in lung adenocarcinoma cells in vitro. Western blotting was applied to analyze the potential mechanisms. Results: C/EBPα was found to be decreased in lung adenocarcinoma tissues compared to para-carcinoma tissues. Overexpression of C/EBPα significantly inhibited the migration and invasion of lung adenocarcinoma cells. In addition, C/EBPα overexpression suppressed the epithelial–mesenchymal transition (EMT) that was characterized by a gain of epithelial and loss of mesenchymal markers. Further study showed that C/EBPα suppressed the transcription of β-catenin and downregulated the levels of its downstream targets. Conclusion: Our data suggest that C/EBPα inhibits lung adenocarcinoma cell invasion and migration by suppressing β-catenin-mediated EMT in vitro. Thus, C/EBPα may be helpful as a potential target for treatment of lung adenocarcinoma.
Consumer‐brand relationships in sport: brand personality and identification

Purpose – The purpose of this paper is to investigate the relationships between the brand personality of a sports team and the related consumer outcomes of identification and retail spending.Design/methodology/approach – A field study was conducted with games watched and retail spending as outcomes. Structural equation modeling was used to explore the relationships among constructs.Findings – The two brand personality dimensions of wholesomeness and successfulness are mediated through prestige to predict the consumer's identification with the team. The two brand personality dimensions of imaginativeness and toughness positively influence identification with the team while successfulness has a negative influence on identification with the team. Once a consumer identifies with the team quasi‐brand, retail spending and viewership increase.Practical implications – Sports teams can utilise information gleaned from this study to better promote an attractive image, thereby increasing the number of games watched .
A Project Portfolio Tool for Forecasting Small Projects Profitability

Author: Henri Storbacka Title: A Project Portfolio Tool for Forecasting Small Projects Profitability Department: Industrial Engineering and Management Year: 2015 Place: Porvoo Master’s thesis. Lappeenranta University of Technology 91 pages, 3 tables, 25 pictures and 4 appendixes. Examiners: Professor Timo Kärri and Post-Doctoral Researcher Salla Marttonen