Miracle-dz/UniFAR-FTUs huggingface dataset:
Students’ online argumentative peer feedback, essay writing, and content learning: does gender matter?

ABSTRACT Whilst the importance of online peer feedback and writing argumentative essays for students in higher education is unquestionable, there is a need for further research into whether and the extent to which female and male students differ with regard to their argumentative feedback, essay writing, and content learning in online settings. The current study used a pre-test, post-test design to explore the extent to which female and male students differ regarding their argumentative feedback quality, essay writing and content learning in an online environment. Participants were 201 BSc biotechnology students who wrote an argumentative essay, engaged in argumentative peer feedback with learning partners in the form of triads and finally revised their original argumentative essay. The findings revealed differences between females and males in terms of the quality of their argumentative feedback. Female students provided higher-quality argumentative feedback than male students. Although all students improved their argumentative essay quality and also knowledge content from pre-test to post-test, these improvements were not significantly different between females and males. Explanations for these findings and recommendations are provided.
Prognostic Factors in Geriatric Patients with Metastatic Colon Cancer

Backgrounds: Colorectal cancer is an important contributor to cancer morbidity and mortality. Given that many older adult patients often have concomitant diseases and impairments in organ function, they are at increased risk for chemotherapy toxicity. Therefore, it is important to identify prognostic factors in older patients undergoing chemotherapy. Methods: We performed a retrospective chart review of colorectal cancer patients treated at Nagoya Memorial Hospital between 2012 and 2017 and selected those who received chemotherapy for metastatic colon cancer. Overall survival was calculated from the beginning of chemotherapy until death or the most recent follow-up date. We used the Kaplan-Meier method to plot survival curves and performed a statistical comparison using a log-rank test. In addition, multivariate analysis was performed using stepwise Cox proportional hazards models. Finally, a comprehensive geriatric assessment was conducted for older patients. The chart review was approved by the ethics committee of Nagoya Memorial Hospital. Results: The overall survival of metastatic colon cancer patients was not markedly different between patients aged ≥ 65 years of age (N = 37). Neither lesion site nor the RAS status affected survival, whereas the usage of three kinds of cytotoxic agents prolonged longevity. In a multivariate analysis of patients ≥ 65 years of age, the only independent prognostic factor for survival was the functional capacity, as measured by the Tokyo Metropolitan Institute of Gerontology (TMIG) index of competence. Conclusions: A combination of the comprehensive geriatric assessment and TMIG index was useful for predicting the longevity in patients with metastatic colon cancer ≥ 65 years of age.
Emergence of mcr-1 mediated colistin resistant Escherichia coli from a hospitalized patient in Bangladesh.

INTRODUCTION The emergence of plasmid mediated mcr in bacteria has become global public health threat. Herein, we report a mcr-1 positive E. coli in normal human flora from a patient admitted in Dhaka Medical College Hospital (DMCH). METHODOLOGY In total, 700 non-duplicate rectal swabs were collected from DMCH during 13th May to 12th June 2018. E. coli from rectal swabs were isolated on chromogenic UTI media containing vancomycin 10mg/l (Liofilchem, Italy) and confirmed by MALDI-TOF. Minimum inhibitory concentrations (MIC) were determined by agar dilution and interpreted according to EUCAST breakpoints. Genomic analysis of mcr positive E. coli (MCRPEC) was performed by Illumina MiSeq sequencing and pulsed field gel electrophoresis (PFGE) using S1 nuclease DNA digests and blamcr-1 probing. Transferability of blamcr-1 were determined by conjugation assays. RESULTS We found one MCRPEC from 700 rectal swab screening which was isolated from the rectal swab culture of a 17-year boy who was admitted to the burns ICU, DMCH with 53% flame burn involving much of the trunk and face. Genome sequencing revealed that mcr-1 was present on an IncH12 plasmid of 257,243 bp and flanked by ISApaI1. The colistin resistance can be transferred to the recipient Klebsiella varricola with a frequency of 8.3 × 10-5. Transconjugants were more resistant to colistin than donor (MIC 32 µg/mL). CONCLUSIONS This is the first human associated mcr in Bangladesh. These data indicate the need for a systematic "one health" surveillance in the country.
Interoperability = f(community, division of labour)

This paper aims to motivate the hypothesis that practical interoperability can be seen as a function of whether and how stakeholder communities duplicate or divide work in a given area or market. We focus on the area of language processing which traditionally produces many diverse tools that are not immediately interoperable. However, there is also a strong desire to combine these tools into processing pipelines and to apply these to a wide range of different corpora. The space opened between generic, inherently "empty" interoperability frameworks that offer no NLP capabilities themselves and dedicated NLP tools gave rise to a new class of NLP-related projects that focus specifically on interoperability: component collections. This new class of projects drives interoperability in a very pragmatic way that could well be more successful than, e.g., past efforts towards standardised formats which ultimately saw little adoption or support by software tools.
Deep learning with convolutional neural networks: a resource for the control of robotic prosthetic hands via electromyography

350 words) 9 Natural control methods based on surface electromyography and pattern recognition are promising 10 for hand prosthetics. However, the control robustness offered by scientific research is still not 11 sufficient for many real life applications and commercial prostheses are capable of offering natural 12 control for only a few movements. 13 In recent years deep learning revolutionized several fields of machine learning, including computer 14 vision and speech recognition. Our objective is to test its methods for natural control of robotic hands 15 via surface electromyography using a large number of intact subjects and amputees. 16 We tested convolutional networks for the classification of an average of 50 hand movements in 67 17 intact subjects and 11 transradial amputatees. The simple architecture of the neural network allowed 18 to make several tests in order to evaluate the effect of pre-processing, layer architecture, data 19 augmentation and optimization. The classification results are compared with a set of classical 20 classification methods applied on the same datasets. 21 The classification accuracy obtained with convolutional neural networks using the proposed 22 architecture is higher than the average results obtained with the classical classification methods but 23 lower than the results obtained with the best reference methods in our tests. 24 The results show that convolutional neural networks with a very simple architecture can produce 25 accuracy comparable to the average classical classification methods. They show that several factors 26 (including pre-processing, the architecture of the net and the optimization parameters) can be 27 fundamental for the analysis of surface electromyography data. Larger networks can achieve higher 28 accuracy on computer vision and object recognition tasks. This fact suggests that it may be 29 interesting to evaluate if larger networks can increase sEMG classification accuracy too. 30
Misuse and Anomaly Based Combined Hybrid Approaches for Intrusion Detection: A Survey

: Intrusion Detection Systems (IDS) can be defined with various detection techniques. Misuse based and anomaly based detection techniques are some of the techniques used for identifying the known and unknown attacks. This paper shows a survey on both misuse and anomaly based detection techniques for IDS where it is observed that these two techniques when applied at a time gives better results than when applied individually on a particular dataset and it has been depicted in this paper by considering a case study where decision support system and expert rule based approach are applied on KDD 99 dataset for observing both normal and abnormal behaviour of the data.
Medium Access Protocol for EYES Wireless Sensor Nodes

This paper proposes EMACS, a medium access control (MAC) protocol designed for wireless sensor networks. In this paper we first introduce the application field of wireless sensor networks, and deduce some basic characteristics and requirements for the communication protocols. These characteristics of a wireless sensor network motivate the use of a different family of MAC protocols than currently employed for wireless (ad hoc) networks (such as IEEE 802.11 (1)), in which throughput, latency, and per node fairness, are more important. EMACS uses various novel mechanisms to reduce energy consumption from the major sources of inefficiency that we have identified. The basic mechanisms applied and combined in one protocol are: scheduled operations, collision avoidance, grouping send and receive, connection oriented, and assistance for routing
Blood-based biomarkers for Alzheimer ’ s disease and related dementias Plasma neurofilament light associates with Alzheimer ’ s disease metabolic decline in amyloid-positive individuals

Introduction: Neurofilament light chain (NfL) is a promising blood biomarker to detect neurodeThese authors co Data used in the p heimer’s Disease Neu c.edu). As such, the in and implementation o in analysis or writing o https://doi.org/10.1016 2352-8729/ 2019 T license (http://creative generation in Alzheimer’s disease (AD) and other brain disorders. However, there are limited reports of how longitudinal NfL relates to imaging biomarkers. We herein investigated the relationship between blood NfL and brain metabolism in AD. Methods: Voxelwise regression models tested the cross-sectional association between [F]fluorodeoxyglucose ([F]FDG) and both plasma and cerebrospinal fluid NfL in cognitively impaired and unimpaired subjects. Linear mixed models were also used to test the longitudinal association between NfL and [F]FDG in amyloid positive (Ab1) and negative (Ab2) subjects. Results: Higher concentrations of plasma and cerebrospinal fluid NfL were associated with reduced [F]FDG uptake in correspondent brain regions. In Ab1 participants, NfL associates with hypometabolism in AD-vulnerable regions. Longitudinal changes in the association [F] ntributed equally to this work. reparation of this article were obtained from the Alzroimaging Initiative (ADNI) database (adni.loni.usvestigators within the ADNI contributed to the design f ADNI and/or provided data but did not participate f this report. A complete listing of ADNI investigators can be found at http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf. Corresponding author. Tel.: 11-514-761-6131 x 6310; Fax: 11-514888-4050. E-mail address: pedro@bic.mni.mcgill.ca /j.dadm.2019.08.002 he Authors. Published by Elsevier Inc. on behalf of the Alzheimer’s Association. This is an open access article under the CC BY-NC-ND commons.org/licenses/by-nc-nd/4.0/). A.L. Benedet et al. / Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring 11 (2019) 679-689 680 FDG-NfL were confined to cognitively impaired Ab1 individuals. Discussion: These findings indicate that plasma NfL is a proxy for neurodegeneration in AD-related regions in Ab1 subjects. 2019 The Authors. Published by Elsevier Inc. on behalf of the Alzheimer’s Association. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/ 4.0/).
Black-Box Problem Localization in Parallel File Systems

Parallel file systems target large, high-performance storage systems. Since these storage systems are comprised of a significant number of components (i.e., hundreds of file servers, thousands of disks, etc.), they are expected to (and in practice do) frequently exhibit “problems”, from degraded performance to outright failure of one or more components. The sheer number of components, and thus, potential problems, makes manual diagnosis of these problems difficult. Of particular concern are system-wide performance degradations, which may arise from a single misbehaving component, and thus, pose a challenge for problem localization. Even failure of a redundant component with a less-significant performance impact is worrisome as it may, in absence of explicit checks, go unnoticed for some time and increase risk of system unavailability. As a solution, this thesis defines a novel problem-diagnosis approach, capitalizing upon the parallel-file-system design criterion of balanced performance, that peer-compares the performance of system components to localize problems within storage systems running unmodified, “off-theshelf” parallel file systems. Performed in support of this thesis is a set of laboratory experiments that demonstrate proof-of-concept of the peer-comparison approach by injecting four realistic problems into 12-server, test-bench PVFS and Lustre clusters. This thesis is further validated by taking the diagnosis approach and adapting it to to work on a very-large, production GPFS storage system consisting of 128 file servers, 32 storage controllers, 1152 disk arrays, and 11,520 total disks. Presented in a 15-month case study is the problems observed through analysis of 624 GB of instrumentation data, in which a variety of performance-related storage-system problems are localized and diagnosed, in a matter of hours, as compared to days or longer with manual approaches.
Efficient Implementation of Hadoop MapReduce-Based Dataflow

MapReduce is a solution for the treatment of large data. With it we can analyze and process data. It does this by distributing the computation in a large set of machines. Process mining provides an important bridge between data mining and business process analysis. This technique allows for the extraction of information from event logs. Firstly, the chapter mines small patterns from log traces. Those patterns are the representation of the traces execution from a business process. The authors use existing techniques; the patterns are represented by finite state automaton; the final model is the combination of only two types of patterns that are represented by the regular expressions. Secondly, the authors compute these patterns in parallel, and then combine those patterns using MapReduce. They have two parties. The first is the Map Step. The authors mine patterns from execution traces. The second is the combination of these small patterns as reduce step. The results are promising; they show that the approach is scalable, general, and precise. It minimizes the execution time by the use of MapReduce.
Clinical outcomes of inferior vena cava filter in complicated pulmonary embolism

Background: Previous observational studies suggest that inferior vena cava filter placement in pulmonary embolism patients complicated with congestive heart failure, mechanical ventilation, and shock may have a mortality benefit. We sought to analyze the survival benefits of inferior vena cava filter in pulmonary embolism patients complicated with acute myocardial infarction, acute respiratory failure, shock, or requiring treatment with thrombolytics. Methods: This retrospective observational study used hospital discharge data from the National Inpatient Sample Data (NIS). ICD-9-CM coding was used to identify complicated pulmonary embolism patients (N = 254,465) in NIS from 2002 to 2014, including the subgroups of acute myocardial infarction, acute respiratory failure, shock, and thrombolytics. Inferior vena cava filter recipients were 1:1 propensity score-matched on age, sex, race, deep vein thrombosis, Elixhauser comorbidities, and other pulmonary embolism comorbidities (45 covariates) to non-inferior vena cava filter recipients in complicated pulmonary embolism patients and separately in each subgroup. Clinical outcomes were compared between the inferior vena cava filter group and the non-inferior vena cava filter group. Results: Mortality rate in complicated pulmonary embolism patients with inferior vena cava filter placement was lower (20.9% vs. 33%; NNT = 8.28, 95% confidence interval (CI) 7.91–8.69, E-value = 2.53) and in the subgroups; acute myocardial infarction (17.9% vs. 30.1%; NNT = 8.19, 95% CI 7.52–8.92, E-value = 2.76), acute respiratory failure (19.5% vs. 29.7%; NNT = 9.76, 95% CI 8.67–11.16, E-value = 2.38), shock (30.7% vs. 47.1%; NNT = 6.08, 95% CI 5.73–6.47, E-value = 2.43), and with the use of thrombolytics (7% vs. 12.9 %; NNT 17.1, 95% CI 14.88–20.12, E-value = 3.01) (p < 0.001 for all). Conclusion: Inferior vena cava filter placement in pulmonary embolism complicated with acute myocardial infarction, acute respiratory failure, shock, or requiring thrombolytic therapy was associated with reduced mortality.
Method for point contacting information of collecting web page by embedding code in web page

The invention relates to a method used embedded code to collect click information on web. The method includes the following steps: using embedded code to collect the click information; transmitting it to server. It is set monitoring code for the monitored web to count secondary jump quantity, rate and address, click quantity and address, exactly distinguish different hyperlinks secondary jump quantity and rate, click quantity on web, distinguish them for the monitored web from different network stations source, for different hyperlinks on the monitored web from different network station source.
Nonlinear Robust Fault-Tolerant Control of the Tilt Trirotor UAV Under Rear Servo's Stuck Fault: Theory and Experiments

This paper presents a fault-tolerant control strategy to deal with the rear servo's stuck fault together with unknown exogenous disturbances of a trirotor unmanned aerial vehicle. A supertwisting-based observer is utilized to estimate the rear servo's stuck fault which is unknown, and a robust integral of the signum of the error based fault-tolerant controller is designed to compensate for the observation errors and exogenous disturbances. To avoid the singularity associated with orientation representations, the unit quaternion is utilized to formulate the attitude controller. The composite stability is analyzed via the Lyapunov-based methodology. Real-time experiments are implemented on a self-built hardware-in-loop-simulation trirotor testbed and the contrast experimental results with the sliding-mode-based fault-tolerant controller show that the proposed control scheme has achieved better control performance under the rear servo's stuck fault.
Frequency Resource Allocation and Interference Management in Mobile Edge Computing for an Internet of Things System

Internet of Things (IoT) systems are characterized by highly automated operating environments, which comprise several IoT end devices (IDs) that generate vast amounts of data with strict real-time communication and high data rate requirements. Edge computing facilities are an alternative to traditional cloud computing and support massive data processing in IoT systems while reducing the burden on data centers. In this paper, we consider an edge-based IoT system that comprises an edge server (ES), edge gateways (EGs), and IDs that communicate wirelessly. The EGs reduce the load on the ES by preprocessing data received from ID. However, it may not be possible for a few EGs to accommodate a sheer number of IDs, given the limited computing power and communication coverage of the EGs. Therefore, it is necessary for a few IDs to directly connect to the ES without the support of EGs. Thus, we propose a resource orchestration scheme between EGs and ES and/or among EGs based on a Lagrangian and the Karush–Kuhn–Tucker condition. The scheme allocates optimal resources by considering the computing capacities of EGs and ES and manages interference among the EGs to maximize the efficiency of IoT systems. The performance evaluation indicates that the proposed scheme outperforms the existing schemes in terms of aggregate throughput, latency, data reception rate, and workload fairness among EGs by 42%, 59%, 37%, and 40%, respectively.
An Open, FAIRified Data Commons: Proposal for NIH Data Commons Pilot

Erik Schultes​, Leiden University Medical Center Maryann Martone​, U. California, San Diego Barend Mons​, Leiden University Medical Center Albert Mons​, Dutch Tech Centre for Life Sciences Luiz Olavo Bonino​, Dutch Tech Centre for Life Sciences Natalie Meyers​, COS/University of Notre Dame C.Titus Brown​, U. California, Davis Ian Taylor​, University of Notre Dame Center for Research Computing Sandra Gesing,​ University of Notre Dame Lee Giles​, Pennsylvania State University Mark Musen​, Stanford University Eric Pugh​, OpenSource Connections, LLC Cynthia Hudson Vitale​, Independent Consultant Rick Johnson​, University of Notre Dame Judy Ruttenberg​, Association of Research Libraries Jeffrey Spies​, Center for Open Science (COS) Matt Spitzer​, COS David Mellor​, COS Nici Pfeiffer​, COS David Litherland​, COS Michael Haselton​, COS Courtney Soderberg​, COS Tim Errington​, COS
THE DETERMINANTS OF CERVICAL CANCER EARLY DETECTION BEHAVIOUR WITH VIA TEST METHOD IN VISITORS OF POLI KIA-KB IN KASSI-KASSI PUBLIC HEALTH CENTER OF KOTA MAKASSAR

Background: Cervical cancer can be recognized at the pre-cancer stage by doing early detection test in married women. One of the cervical cancer early detection methods is Visual Inspection with Acetic Acid (VIA) test. The coverage of the early detection of cervical cancer through VIA test method in 2017 was still very low, i. e. 1.03% from the national target of 50%. The research aims to know the determinants of cervical cancer early detection behaviour by using IVA test method in visitors of Policlinic KIA-KB (Pediatric and Family Planning Polyclinic) in Kassi-Kassi Public Health Center.Methods: The research was observational analytical research with cross-sectional study design. The population of the study was all women of fertile couple that visited Policlinic KIA-KB in Kassi-Kassi Public Health Center and lived within the coverage area of Kassi-Kassi Public Health Center, which amounted to 135 women. The samples were 101 women that were collected by using the accidental sampling technique.Results: The results showed that there was a relation between knowledge (p=0.000), attitude (p=0.005), husband support (p=0.000), as well as health worker support (p=0.000) and early detection behaviour by using IVA test method. Conclusions: Meanwhile, there was no relation between education and early detection behaviour by using IVA test method. There should be proactive and creative actions from health workers in improving the knowledge of the targets and their husbands about early detection of cervical cancer.