Miracle-dz/UniFAR-FTUs huggingface dataset:
Impediments to Inter-Firm Transfer of Best Practice in an Enterprise Systems Context

A survey of major issues with Enterprise Systems was administered within the State Government of Queensland, Australia and a subset of these issues mapped against Szulanski’s model of inter-firm best practice transfer stickiness (Szulanski, G. 1996. Exploring internal stickiness: Impediments to the transfer of best practice within the firm. Strategic Management Journal, 17(Special Issue), 27-43). The paper discusses impediments to knowledge transfer within this context, presents findings from the a posteriori application of Szulanski’s model to the survey responses, and suggests future research directions.
Search for 1.809 MeV Emission of 26Al from nearby Supernova Remnants using COMPTEL

We report the negative results of our searches in COMPTEL data for 1.809 MeV gamma-ray line emission from four localized regions which contain nearby supernova remnants (SNRs). The upper flux limits (2 Sigma) are found to be in the range of 1.4*10e-5 to 2.4*10e-5 photons/s/cm/cm. These upper limits do not severely constrain the theoretical 26Al yields from individual core collapse supernovae due to large uncertainties in the SNR distances and the nature of the progenitor stars.
SEL: A unified algorithm for salient entity linking

The entity linking task consists in automatically identifying and linking the entities mentioned in a text to their uniform resource identifiers in a given knowledge base. This task is very challenging due to its natural language ambiguity. However, not all the entities mentioned in the document have the same utility in understanding the topics being discussed. Thus, the related problem of identifying the most relevant entities present in the document, also known as salient entities (SE), is attracting increasing interest. In this paper, we propose salient entity linking, a novel supervised 2‐step algorithm comprehensively addressing both entity linking and saliency detection. The first step is aimed at identifying a set of candidate entities that are likely to be mentioned in the document. The second step, besides detecting linked entities, also scores them according to their saliency. Experiments conducted on 2 different data sets show that the proposed algorithm outperforms state‐of‐the‐art competitors and is able to detect SE with high accuracy. Furthermore, we used salient entity linking for extractive text summarization. We found that entity saliency can be incorporated into text summarizers to extract salient sentences from text. The resulting summarizers outperform well‐known summarization systems, proving the importance of using the SE information.
Towards Computational and Behavioral Social Science

Abstract. In the last few years, the study of social phenomena has hosted a renewal of interest in Computational Social Science (CSS). While this field is not new – Axelrod’s first computational work on the evolution of cooperation goes back to 1981 – CSS has recently resurged under the pressure of quantitative social science and the application of Big Data analytics to social datasets. However, Big Data is no panacea and the data deluge that it provides raises more questions than it answers. The aim of this paper is to present an overview in which CSS will be introduced and the costs of CSS will be balanced against its benefits, in an attempt to propose an integrative view of the new and the old practice of CSS. In particular, two routes to integration will be drawn. First, it will be advocated that social data mining and computational modeling need to be integrated. Second, we will introduce the generative approach, aimed to understand how social phenomena can be generated starting from the micro-compon.
Development of security scanner with high usability

In this paper, we propose and develop a security scanner with high usability. Any user can operate the scanner easily. Recently, illegal access has been increasing tremendously. Not only the expert but also the beginners need to cope up with vulnerability of a system promptly and properly. In such cases, a security scanner is an efficient tool to point out the vulnerability. However, for general users, most of the presently available security scanners are hard to install and operate because they have considerably poor usability. Our design criteria of the security scanner are that it should be Web based, should not depend on operating systems, and should not need any installation. To attain these goals, we adopted Perl and Macromedia Flash for development of the security scanner. Moreover, since all the scanning processes are performed only by one mouse click, our security scanner improves usability enormously. Additionally, we have introduced an extension script file, which contains additional vulnerability information for beginner users, detailed description of vulnerability from OS or application vendor, translated description into users' local languages, and so on. In addition, we designed it based on the knowledge of human interface study such as displaying scanning progress bar. Usability of our security scanner was evaluated by comparing with the usability of the existing security scanners using several points of view. In functionality, we have realized very high extensionality and reliability by using the external script of Nessus.
Experimental Trial Activation of the RAGE / STAT 3 Pathway in the Dorsal Root Ganglion Contributes to the Persistent Pain Hypersensitivity Induced by Lumbar Disc Herniation

Methods: After LDH induced by implantation of autologous nucleus pulposus (NP, harvested from animal tail) on the left L5 nerve root was established, mechanical thresholds and electrophysiological tests were conducted at relevant time points during an observation period of 28 days. Protein levels and localization of RAGE and p-STAT3 were performed by using Western blotting and immunohistochemistry, respectively.
Meta‐analysis of negative‐pressure wound therapy for closed surgical incisions

Postoperative wound complications are common following surgical procedures. Negative‐pressure wound therapy (NPWT) is well recognized for the management of open wounds and has been applied recently to closed surgical incisions. The evidence base to support this intervention is limited. The aim of this study was to assess whether NPWT reduces postoperative wound complications when applied to closed surgical incisions.
Evolution of Associative Learning in Chemical Networks

Organisms that can learn about their environment and modify their behaviour appropriately during their lifetime are more likely to survive and reproduce than organisms that do not. While associative learning – the ability to detect correlated features of the environment – has been studied extensively in nervous systems, where the underlying mechanisms are reasonably well understood, mechanisms within single cells that could allow associative learning have received little attention. Here, using in silico evolution of chemical networks, we show that there exists a diversity of remarkably simple and plausible chemical solutions to the associative learning problem, the simplest of which uses only one core chemical reaction. We then asked to what extent a linear combination of chemical concentrations in the network could approximate the ideal Bayesian posterior of an environment given the stimulus history so far? This Bayesian analysis revealed the ‘memory traces’ of the chemical network. The implication of this paper is that there is little reason to believe that a lack of suitable phenotypic variation would prevent associative learning from evolving in cell signalling, metabolic, gene regulatory, or a mixture of these networks in cells.
Effect of type 2 diabetes mellitus on visual field defect, retinal nerve fiber layer (RNFL) thickness and intraocular pressure index in patients with primary open angle glaucoma

Objective: To investigate the effects of type 2 diabetes mellitus on visual field defect, retinal nerve fiber layer thickness and intraocular pressure index in patients with primary open angle glaucoma. Methods: A total of 125 patients (125 eyes) diagnosed with primary open-angle glaucoma in our hospital from April 2016 to September 2017 were enrolled as the research subjects. Patients were divided into case group (70 cases) and control group (55 cases). Patients in case group were diabetic patients combined with primary open-angle glaucoma, while the control group consisted of patients only with primary open-angle glaucoma. Mean defect of visual field, mean light sensitivity in visual field, retinal nerve fiber layer thickness and intraocular pressure index were compared between two groups. Results: Mean defect of visual field in case group was (17.26 ± 3.15 dB), which was significantly higher than that in the control group (P 0.05). Intraocular pressure of case group was (22.75 ± 2.61 mmHg), which was significantly higher than that of control group (P<0.05). Conclusion: Type 2 diabetes can increase defect area of visual field, increase intraocular pressure, reduce retinal nerve fiber layer thickness and promote the progression of the disease in patients with primary open angle glaucoma.
Successful reproduction of the introduced slider turtle (Trachemys scripta elegans) in the South of France

1. Massive importation of slider turtles (Trachemys scripta elegans) as a pet in France over the past few decades has been followed by the release of many of these turtles into natural environments. T. scripta elegans is now widely distributed in France. 2. This paper reports on the successful reproduction of this species in France, with confirmed production of both sexes from nests incubated in the wild. These results indicate that the turtle T. scripta elegans can reproduce in the wild and that its long-term persistence is possible in France. 3. The potential impact of this invasive species in natural ecosystems warrants future study. Meanwhile, authorities are strongly encouraged to educate the public to the potential danger of exotic species introduction for local ecosystems and to capture and remove this species from wetlands in southern Europe. Copyright © 2004 John Wiley & Sons, Ltd.
In vitro damage of Candida albicans biofilms by chitosan

With the increasing usage of indwelling medical devices in clinical practice, the frequency of fungal infections has increased, such as that of Candida albicans (C. albicans). Biofilms, a protected niche for microorganisms, are resistant to a range of current antifungal agents. Chitosan is a polyatomic biopolymer with advantageous biocompatibility, biodegradation, nontoxicity and antibacterial properties. To investigate the inhibitory effect of chitosan on biofilms formed by C. albicans, cell viability, 2,3-bis(2-methoxy-4-nitro-5-sulfophenyl)-2H-tetrazolium-5-caboxanilide reduction, and morphological assays, including fluorescence microscopy and scanning electron microscopy (SEM), were employed. As assessed by cell viability assay, chitosan showed significant inhibitory effects on the planktonic cells and the biofilm of C. albicans in a dose-dependent manner. Fluorescence microscopy and SEM assays confirmed that the chitosan-treated group showed delayed C. albicans biofilm formation with defect morphological features, due to the inhibitory effects of the vast majority of fungal cell growth. In conclusion, C. albicans biofilms were compromised by the treatment with chitosan, providing an alternative therapeutic strategy against the fungal biofilms in the medical devices.
A Traffic Congestion Framework for Smart Riyadh City based on IoT Services

Internet of Things (IoT) has become one of the most challenging issues in many researches to connect physical things through the internet by creating a virtual identity for everything. Traffic congestion in Riyadh city is chosen due to the proliferation in the number of vehicles on Riyadh roads that is resulting in grumbling by citizens. Currently, there is no reliable service offered to Riyadh citizens from the traffic department enabling them to access traffic information. A new traffic congestion framework for Riyadh is proposed so that it can help the development of traffic congestion services. This framework aims to benefit from the current Riyadh road infrastructure and apply the IoT paradigm for detecting traffic congestion. Sensing devices are used to identify the congestion of the traffic flow through providing multiple proposed services to the citizens such as a vehicle counting, live streaming video and rerouting services. Citizens are able to access all the services by using proposed mobile application connected to the internet, as all those services are integrated with public map Service. By using the services, the citizens are able to identify the exact location where congestion occurs and an alternate solution can be provided easily. To achieve this, Business Process Execution Language (BPEL) is embedded in one of the framework layers. Due to the effectiveness of BPEL, workflows are built to combine the proposed services with the legacy Riyadh services. This approach clearly defines how the services are executed through BPEL models.
Detection and quantification of extracellular microRNAs in medulloblastoma

Aim: Medulloblastoma (MB) is the most common malignant brain tumor in children. The crucial role of extracellular-microRNAs (ex-miRNAs) in cancer has been widely recognized; however, their role in MB remains unknown. This study aimed to investigate MB-driven ex-miRNAs. Methods: Microarray analysis was used to disclose the identity and quantity of key miRNAs excreted in culture-medium (CM) of 3 human MB cell lines and cerebrospinal fluid (CSF) of brain tumors (including MB) and leukemia patients. MiRNA expression was validated by quantitative reverse transcription polymerase chain reaction. Results: We have demonstrated that the 3 MB cell lines tested commonly expressed 1,083 miRNAs in their spent CM. Among them, 57 miRNAs were specific to the CM of metastasis-related cell lines which represents the aggressive group 3 and group 4 MB subtypes. A significant number (1,254) of ex-miRNAs were identified in the CSF of a MB patient. Eighty-six of these miRNAs were found to be differentially expressed in this patient's CSF compared with controls. Interestingly, 3 metastasis-associated miRNAs over-represented in CM of metastasis-related MB cell lines were found to be significantly enriched in the CSF of the MB patient. Conclusion: Although more samples are required to fully verify these results, our work provides the first evidence for the presence of a significant amount of miRNAs excreted extracellularly by MB cells and raises the possibility that, in the near future, miRNAs could be probed in CSF of MB patients and serve as novel biological markers.
Coupling of Nanoparticle Dynamics to Polymer Center-of-Mass Motion in Semidilute Polymer Solutions

We investigate the dynamics of nanoparticles in semidilute polymer solutions when the nanoparticles are comparably sized to the polymer coils using explicit- and implicit-solvent simulation methods. The nanoparticle dynamics are subdiffusive on short time scales before transitioning to diffusive motion on long time scales. The long-time diffusivities scale according to theoretical predictions based on full dynamic coupling to the polymer segmental relaxations. In agreement with our recent experiments, however, we observe that the nanoparticle subdiffusive exponents are significantly larger than predicted by the coupling theory over a broad range of polymer concentrations. We attribute this discrepancy in the subdiffusive regime to the presence of an additional coupling mechanism between the nanoparticle dynamics and the polymer center-of-mass motion, which differs from the polymer relaxations that control the long-time diffusion. This coupling is retained even in the absence of many-body hydrodynamic inte.
Action Recognition in Movie Scenes using Deep Features of Keyframes

Recently, researchers of computer vision have focused on human action recognition in video clips and have used it for applications in various domains such as surveillance and sports. In this paper, we have recognized human action in movies clips using deep features of keyframes. Firstly, k-mean clustering is used to achieve representative frames (keyframes) from action videos. Clustering removes redundant frames from action videos, thereby reducing the computational complexity of the algorithm. Secondly, we fine-tuned convolutional neural network (CNN) model called Alexnet for 12 movies actions. Finally, we feed those representative frames of action video clips to the fine-tuned CNN classifier. The proposed algorithm is experimentally tested on Holywood2 dataset
Tumor Markers of Neo-Adjuvant Chemo-Radiation Response in Rectal Cancer

Radiation therapy alone or in combination with chemotherapy has lead to improved outcomes in the management of rectal cancer patients. Many studies have demonstrated that for locally advanced rectal cancer, preoperative chemoradiation (CRT) significantly improves local control, reduces toxicity profiles and the risk of disease recurrence (HabrGama, Perez et al. 2004), (Kapiteijn, Marijnen et al. 2001), (Frileux, Burdy et al. 2007), (Horisberger, Hofheinz et al. 2008), (Krook, Moertel et al. 1991), (Sauer, Becker et al. 2004). Highly radiosensitive cancers completely regress, leading to improved survival. A histology tumor grading system is used to determine the success of radiation prior to surgery. This is called a tumor regression grade (TRG). Originally described for oesophageal tumors, the TRG system has been adapted to rectal cancer (Mandard, Dalibard et al. 1994). Regression grading stratifies response based on the biological effect of radiation on tumors, dividing it into five different grades based on the ratio of fibrosis to tumor where TRG1: no residual cancer; TRG2: rare residual cancer cells; TRG3 fibrosis outgrowing residual cancer; TRG4: residual cancer outgrowing fibrosis and TRG 5: absence of regressive changes. This TRG scoring system is extremely valuable as it can highlight those tumors demonstrating large variation in biological response to radiation not undergoing a T stage change (Bouzourene, Bosman et al. 2002). In a paper by Ryan et al, they have revised the 5 point TRG system into a 3 point where grade 1 indicates a complete response, grade 2 a partial response and grade 3 no response (Ryan, Gibbons et al. 2005). Currently, only approximately 25% of patients who receive CRT treatment obtain a complete pathological response (Valentini, Coco et al. 2002; Sauer, Becker et al. 2004). Disease free survival in these patients is improved with a reduce rate of local recurrence However, up to 75% of patients receive a treatment that achieves little or no benefit and an increased risk of second cancers has been documented within or adjacent to the irradiated volume (Birgisson, Pahlman et al. 2005). The broad and unpredictable response to tumor of patients with rectal cancer treated with preoperative chemoradiotherapeutic interventions shows that our understanding of the molecular events leading to radioresistance in patients affected with this malignancy is limited. This variation is thought to depend on tumor size but also on the biological properties of individual tumors. It is important to understand what factors within the tumor predict high sensitivity to the new-adjuvant regimen and what determines resistance, as this information may allow tailor-made individualization of therapy. Classification of
Measuring and Understanding Throughput of Network Topologies

High throughput is of particular interest in data center and HPC networks. Although myriad network topologies have been proposed, a broad head-to-head comparison across topologies and across traffic patterns is absent, and the right way to compare worst-case throughput performance is a subtle problem. In this paper, we develop a framework to benchmark the throughput of network topologies, using a two-pronged approach. First, we study performance on a variety of synthetic and experimentally-measured traffic matrices (TMs). Second, we show how to measure worst-case throughput by generating a near-worst-case TM for any given topology. We apply the framework to study the performance of these TMs in a wide range of network topologies, revealing insights into the performance of topologies with scaling, robustness of performance across TMs, and the effect of scattered workload placement. Our evaluation code is freely available.
Luteal Phase Support in assisted reproductive technology treatment: focus on Endometrin® (progesterone) vaginal insert

Supplementation of progesterone in the luteal phase and continuance of progesterone therapy during the first trimester has been found in several studies to have benefits in promoting fertility, preventing miscarriages and even preventing pre-term labor. Though it can be administered orally, intramuscularly or even sublingually, a very effective route with fewer side effects can be achieved by an intravaginal route. The first vaginal preparations were not made commercially but were compounded by pharmacies. This had the disadvantage of lack of control by the Food and Drug Administration (FDA) ensuring efficacy of the preparations. Furthermore there was a lack of precise dosing leading to batch to batch variation. The first commercially approved vaginal progesterone preparation in the United States was a vaginal gel which has proven very effective. The main side effect was accumulation of a buildup of the vaginal gel sometimes leading to irritation. Natural micronized progesterone for vaginal administration with the brand name of Utrogestan A® had been approved even before the gel in certain European countries. Endometrin® vaginal tablets are the newest natural progesterone approved by the FDA. Comparisons to the vaginal gel and to intramuscular progesterone have shown similar efficacy especially in studies following controlled ovarian hyperstimulation and oocyte egg retrieval and embryo transfer. Larger studies are needed to compare side effects.
Enhanced adaptive bandwidth tracking using mean shift algorithm

The traditional color-based mean shift tracking algorithm is a popular method in colored object tracking due to its simple and efficient procedure, however, its constant tracking bandwidth makes it unsuitable for objects that have variable size during tracking. In this paper, we propose Enhanced Mean Shift Tracker (EMST) which has adaptive bandwidth. Our proposed method solves the problems of the original algorithms related to accuracy and rigid bandwidth. The experimental results show that the new method is feasible, robust and has a good speed in comparison with other algorithms.