bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pneumatic Resistance Control of an Upper Limb Active Rehabilitation System
Authors: Li Yibin , Xu Han , Xu Dong , Zhang Xu , Fu Jianming , Li Xiaolong , Zhang Mingming , Xie Sheng Q. 
Published: February 2020

Abstract
This paper proposes a pneumatic upper limb rehabilitation robot (PULRR) which is designed for bilateral upper limb active rehabilitation of the patients after stroke. The PULRR provides an active resistance rehabilitation method based on the pneumatic control system. The air kinetics of the pneumatic cylinder model and the dynamics of the pneumatic system with load are established. An antisaturation proportional-integral-differential (PID) controller is presented for the constant resistance force control through directly adjusting the position of the throttle valve spool according to the patient's active moving speed and the feedback of the air pressure in both chambers. In addition, simulation and experimental results indicate that the controller is effective in constant resistance force control. The resistance mode proposed in this paper shows great potential in active resistance rehabilitation for the patients who suffer from the dyskinesia and insufficient muscle strength of the upper limb with enhanced safety and compliance.
Brachialis Strain in a Collegiate Wrestler: A Case Report
Authors: Geiselman James , Gillespie Rachel , Miller Andrew 
Published: February 2020

A 22-year-old male varsity collegiate wrestler presented for general chiropractic care for an unrelated condition and noted right elbow pain that had progressively increased over the past few weeks. The athlete was diagnosed with a right brachialis strain and advised to follow up with his athletic trainer for co-management of his injury. The patient responded positively to prescribed treatments and rehabilitation to decrease pain and restore functionality (<14 days) while only missing one competitive match. The location of the brachialis muscle and scarcity of literature makes diagnosis and treatment complex. The physical examination and conservative treatment presented in this report demonstrate the need for comprehensive and exploratory examination and co-management of wrestling athletes with a brachialis strain.
Severe congenital heart defects: incidence, causes and time trends of preoperative mortality in Norway
Authors: Wik Gunnar , Jortveit Jarle , Sitras Vasileios , Døhlen Gaute , Rønnestad Arild E , Holmstrøm Henrik 
Published: February 2020

Background and aimsSevere congenital heart defects (CHDs) still represent one of the main causes of infant death. The risk factors associated with cardiac surgery and postoperative mortality are well known. We aimed to describe the rates, causes and time trends of mortality before surgery—including termination of pregnancies and palliative care—in fetuses and children below 2 years of age with severe CHDs.Methods and resultsData concerning all 789 345 pregnancies in Norway from 2004 to 2016 were retrieved from the Medical Birth Registry of Norway, the Oslo University Hospital’s Clinical Registry for Congenital Heart Defects, the Norwegian Cause of Death Registry, the National Registry, Statistics Norway, autopsy reports and medical records. When including termination of pregnancy and stillbirths, the number of fetuses and children with severe CHDs that did not reach the age of 2 years was 31%. Mortality among the 2359 live-born infants with severe CHDs was 10%, of whom 58% died before surgery. Of the preoperative deaths, 81% died in a palliative care setting, and comorbidity and univentricular CHDs were common among these infants. Together, palliative care and termination of pregnancy accounted for 86% of deaths in cases of severe CHDs, and this proportion increased during the study period (annual percent changes 1.3, 95% CI 0.4 to 2.1, p<0.001), mainly due to an increased termination rate.ConclusionsTermination of pregnancy accounted for the majority of the deaths in fetuses and children with severe CHDs. Among live-born children, most preoperative deaths occurred in a palliative care setting and were strongly related to comorbidities and/or univentricular hearts.
Comparison of glistenings formation and their effect on forward light scatter between the Acrysof SN60WF and Eternity Natural Uni NW-60 intraocular lenses
Authors: Philippaki Eva , O'Brart David P , Hull Chistopher C. 
Published: February 2020

AimsTo compare the characteristics of glistenings and forward light scatter between the Alcon Acrysof SN60WF and Santen Eternity Natural Uni NW-60 intraocular lenses (IOLs).MethodsFive Acrysof SN60WF and five Eternity Natural Uni NW-60 IOLs were studied. All IOLs were single piece blue blockers with the same dioptric power (20D) and optic diameter (6.0 mm). Glistenings were induced by a thermal accelerated ageing process. Glistenings were objectively quantified using bespoke image processing software. The angular distribution of forward light scatter was measured using an optical bench system and the straylight parameter calculated from the light scatter function.ResultsThe median increase in the number of glistenings was 15 and 525 for the Eternity and Acrysof IOLs, respectively, which was statistically significantly different (p=0.012). Median glistenings diameter was 23.8 μm (Acrysof) and 32.8 μm (Eternity). Four (80%) of the Acrysof lenses had straylight values higher than a 20-year-old CIE standard glare observer and in two cases the straylight exceeded that of the 70-year-old CIE standard glare observer. None of the Eternity lenses had straylight values that exceeded the value for the 20-year-old CIE standard glare observer.ConclusionsThe Eternity Natural Uni NW-60 IOLs resisted the induction of glistenings more than the Acrysof SN60WF IOLs. Although the Acrysof IOLs developed smaller glistenings than the Eternity IOLs, there were sufficient numbers to produce a higher straylight parameter.
Endoscopic grading of gastric intestinal metaplasia on risk assessment for early gastric neoplasia: can we replace histology assessment also in the West?
Authors: Marcos Pedro , Brito-Gonçalves Gisela , Libânio Diogo , Pita Inês , Castro Rui , Sá Inês , Dinis-Ribeiro Mário , Pimentel-Nunes Pedro 
Published: February 2020

ObjectivesTo assess the value of endoscopic grading of gastric intestinal metaplasia (EGGIM), operative link on gastritis assessment (OLGA) and operative link on gastric intestinal metaplasia (OLGIM) on risk stratification for early gastric neoplasia (EGN) and to investigate other factors possibly associated with its development.DesignSingle centre, case–control study including 187 patients with EGN treated endoscopically and 187 age-matched and sex-matched control subjects. Individuals were classified according to EGGIM, OLGA and OLGIM systems. EGN risk according to gastritis stages and other clinical parameters was further evaluated.ResultsMore patients with EGN had EGGIM of ≥5 than control subjects (68.6% vs 13.3%, p<0.001). OLGA and OLGIM stages III/IV were more prevalent in patients with EGN than in control subjects (68% vs 11%, p<0.001, and 61% vs 3%, p<0.001, respectively). The three systems were the only parameters significantly related to the risk of EGN in multivariate analysis: for EGGIM 1–4 (adjusted OR (AOR) 12.9, 95% CI 1.4 to 118.6) and EGGIM 5–10 (AOR 21.2, 95% CI 5.0 to 90.2); for OLGA I/II (AOR 5.0, 95% CI 0.56 to 44.5) and OLGA III/IV (AOR 11.1, 95% CI 3.7 to 33.1); for OLGIM I/II (AOR 11.5, 95% CI 4.1 to 32.3) and OLGIM III/IV (AOR 16.0, 95% CI 7.6 to 33.4).ConclusionThis study confirms the role of histological assessment as an independent risk factor for gastric cancer (GC), but it is the first study to show that an endoscopic classification of gastric intestinal metaplasia is highly associated with that outcome. After further prospective validation, this classification may be appropriate for GC risk stratification and may simplify every day practice by reducing the need for biopsies.
Effect of garlic intake on inflammatory mediators: a systematic review and meta-analysis of randomised controlled trials
Authors: Koushki Mehdi , Amiri-Dashatan Nasrin , Pourfarjam Yasin , Doustimotlagh Amir Hossein 
Published: February 2020

ABSTRACTBackgroundGarlic is a species in the onion genus, Allium. Data have shown that garlic has anti-inflammatory activity; however, the findings are inconclusive and inconsistent. We aimed to evaluate the impact of garlic intake on inflammatory mediators through systematic review and meta-analysis of existing data.MethodsElectronic databases were completely investigated using databases of ISI Web of Science, Medline, Scopus, Cochrane Library and EMBASE until October 2019. A random effects model and the generic reverse variance procedure were used for quantitative data production. Sensitivity analyses and prespecified subgroup were done to evaluate potential heterogeneity. Random effect meta-regression was conducted to investigate the effects of possible confounders on the assessed effect size.ResultsTen trials with one observational study, including 530 participants, met the eligibility criteria. The findings showed reduction in the tumour necrosis factor alpha (TNF-α) (−0.31 pg/mL, 95% CI −1.07 to 0.46) and C reactive protein (CRP) levels (−0.20 mg/L, 95% CI −1.4 to 1.05) following supplementation with garlic, although it had no marked impact on the interleukin 6 (IL-6) level (0.37 pg/mL, 95% CI −0.58 to 1.33). In the subgroup analysis, we found that garlic supplementation significantly decreased TNF-α, highly sensitive CRP and IL-6 levels in subgroups of &gt;8, &gt;6 and ≥4 weeks of intervention duration, respectively, and dose of garlic consumption between 2 and 2.4 g/day.ConclusionThese findings suggested that current evidence may support garlic as an adjunct to pharmacological management of metabolic diseases.PROSPERO registration numberCRD42018108816.
Liquefied petroleum gas monitoring and leakage detection system using nodemcu ESP8266 and wi-fi technology
Authors: Binti Sarnin Suzi Seroja , Senanu Ametefe Divine , Fadzlina Naim Nani , Wan Mohamad Wan Norsyafizan , Ishak Norlela , Ab Wahab Norfishah , Ya’acob Norsuzila 
Published: February 2020

<span>Liquefied Petroleum Gas which is popularly known as LPG is a clean source of energy which is highly flammable and usually compressed into storage tanks. Due to the flammable nature of LPG it can easily lead to uncontrollable explosions in the presence of any ignition action or may lead to complete depletion of oxygen in a particular area. This study is focused on the fabrication of a system that would detect, monitor and control LPG gas leakages for domestic gas cylinders. A MQ-2 gas sensor was used for the detection of LPG gas leakages, the monitoring aspect was satisfied locally through notifications triggered by LEDs, piezo buzzer and remotely through the use of an application known as Blynk. The control aspect was implemented with the use of a stepper motor which turns off gas cylinder regulators whenever gas concentrations are high. All operations are primary hinged on the NodeMCU ESP8266 controller and Wi-Fi communication technology. </span>
Measure learning effectiveness among children using EEG device and mobile application
Authors: Gasah Magrizef , Baharum Aslina , Mat Zain Nurul Hidayah 
Published: February 2020

This paper presents a method in measuring the learning effectiveness among children using EEG device and Mobile Application. In this study, an approach to measure the children learning effectiveness using a mobile learning application and EEG device have been developed. The method used to develop the approach was from the extensive literature review from previous research related to children learning effectiveness and its experimental works. A quantitative method was used to measure the effectiveness of children learning and the result of this experimental work shows that children learning effectiveness can reach nearly 73%. Since lot of teachers and student having trouble in accessing the learning activity whether it was effective or not, this study shown a significant way to solve such problem.
Robust controller for an open irrigation canal prototype
Authors: Merabti Nardjes , Faycel Arbaoui , Larbi Saidi Mohamed , Yahmedi Said 
Published: February 2020

<span lang="EN-US">A </span><span class="alt-edited"><span lang="EN-US">Management and control of irrigation canals is a very important task whether for irrigation of agricultural land, to provide clean water, or to avoid floods. </span></span><span lang="EN-US">Irrigation canals are sometimes subject to intense variations due to climate change and inclement weather. For this reasons, a robust controller that allows dealing with large variation in operating conditions is proposed to control the water level of a multi-pool open irrigation canal prototype. The main objective of this study is to regulate the downstream level of each canal's pool at a constant value even with inflow disturbances. The robust controller is designed and tested in simulation for different operating conditions. The results obtained show the good behavior and the effectiveness of the designed controller.</span>
Performance comparison of multicast MANET CRN system’s based on POS scheme with different types of router protocol algorithms
Authors: Nadhim Basma Nazar , Mahmood Sarab Kamal 
Published: February 2020

<p>A multi-layer multi-hop mechanism, with one of three different types of router protocol algorithms (Steiner minimal tree (SMT), shortest path tree (SPT) and minimal spanning tree (MST)) was employed for the construction of multi-cast MANET CRNs. The probability of success (POS) used as the channel assignment scheme, is dependent on the availability of the channel, and the required transmission time. It was applied to the network after the conversion of the network’s random topology into one of the three algorithms (SMT, SPT or MST). This facilitated the selection of an efficient channel for the transmission of the CR user’s data, under the effect of the Rayleigh fading channel. Three idle probability circumstances (i.e., =0.1, 0.5, 0.9), and different network parameters, were used to compare the performance of the CRN with three routing protocols in terms of throughput, and packet delivery rate (PDR). According to the simulation results, for a high traffic load of PUs ( 1) at different network parameters , the CRN with the SPT algorithm performed better than the CRN with the SMT or MST algorithm. </p>
Web usability test in 60 seconds: a theoretical foundation and empirical test
Authors: Mahmud Imran , Rahman Mostafijur , Ahmed Sharmin , Islam Didarul 
Published: February 2020

The aim of this research is to explore the possibility of web usability test in 60 seconds rather than unlimited time by customers. Usability was tested by two major testing methods: system usability scale (SUS) and NetQu@l. 60 customers as two groups were involved in the experimental design procedure. The assessment included an online shopping website where one group tested in 60 seconds and other group had 3 days to test. Result shows that there are significance differences in SUS based testing and no significant differences in NetQu@l based testing. Altogether, these results provide further support that SUS based usability testing can be implemented in 60 seconds time frame without imposing additional cognitive load on customers.
A new kind of parameter conjugate gradient for unconstrained optimization
Authors: Hassan Basim Abbas , Dahawi Hussein O. , Younus Azzam S. 
Published: February 2020

<p>In this paper, a replacement new parameter conjugate gradient for unconstrained optimization. The sufficient descent property cleave to. The global convergence property of the new method is proved under some assumptions. Numerical results explain that the new parameter is superior in practice.<strong></strong></p><p><strong> </strong><em></em></p>
Generating images of partial face using landmark based k-nearest neighbor
Authors: Hadi Israa , Mahdi Alyaa 
Published: February 2020

<p>One of the most common approaches to address the partial face recognition challenge is to crop the full face image into segments. The problem is how the full face image must be cropped in a uniform way to generate informative segments. The un-blindly strategy was applied in this paper to generate informative segments, it depends on localizing the facial landmarks and selecting the more informative facial points as a key points, as more as the k-nearest neighbor concept was explored to select the k nearest landmark points to the key points. Two landmark localization techniques were experimented, the suitable technique resulted in segments which are overlapped due to the supervised clustering technique that explored in this paper to cover important biometric face regions, not repeated and covered most probabilities in which it is possible to distinguish the query face from the available part of it.<strong><em></em></strong></p>
Fault isolation technique for decentralized survivable communication network systems via regions and paths
Authors: B Nethravathi , V N Kamalesh 
Published: February 2020

<p>The rapid continuous growth of communication networks in size, complexity and dependencies, makes them extremely challenging to maintain the survivability of the complete large network. The complexity may be due to advance voice and video services like IP TVs, IP telephony, video streaming which demands high reliability and survivability. Network management has become a great challenge as Faults are expected only in these complex networks. Once a failure is detected, the next step in the diagnosis is fault isolation which locates the source of that failure. The necessitate of decentralized diagnosis is justified by various applications, like spacecrafts. This article presents model based fault isolation technique using a graph theoretical concepts, regions and paths for decentralized communication networks.</p>
Proposed agorithm for regression-based prediction with bulk noise
Authors: Jittawiriyanukoon Chanintorn 
Published: February 2020

<span>The noise has incited an original data due to a network with an inferior SNR. In case of the bulk noise, the insightful content within the data is substantially squeezed. A cost-effective method will challenge to quarantine the insights, so that information can be utilized more resourcefully. To achieve this aim, it is essential to iron the bulk noise content out, and then calculate the analytics of the clean data. As noise is bulk so some statistical methodologies such as averaging or randomizing are employed. A prediction using the regression-based model with bulk noise for the experiment in practice is introduced. The decomposition approach to separate the insights is exploited. The proposed algorithm achieves a (local) solution at each computing step and selects the best solution in view of global impacts. The correlation coefficient, average error, absolute error and mean squared error are used to constitute the prediction. Results from MOA simulation will be compared to actual data in the succeeding time. The prediction with bulk noise using the proposed algorithm outperforms.</span>
Artificial neural network based technique for energy management prediction
Authors: Ab. Wahab N. , Mat Yasin Z. , A. Salim N. , A. Aziz N. F. 
Published: February 2020

<p>The energy management of electrical machine is significant to ensure efficient power consumption. Mismanagement of energy consumption could give impact on low efficiency of energy consumption that leads to power wastage. This paper presents analysis of power consumption and electricity costing of the electrical machineries and equipment in High Voltage (HV) and Electrical Machine (EM) Laboratories at Faculty of Electrical Engineering (FKE), Universiti Teknologi MARA (UiTM) Shah Alam, Selangor, Malaysia. The electrical data are collected using Fluke Meter 1750. Based on the analysis, it is found that the estimated annually electricity cost for HV Laboratory and EM Laboratory are RM 392.00 and RM 3197.76 respectively. For prediction of energy consumption of the two laboratories, Artificial Neural Network (ANN) algorithm is applied as computational tool using feedforward network type. The results show that the ANN is successfully modelled to predict the energy consumption.</p>
Analysis of classification learning algorithms
Authors: Esmaeel Hana Rashied 
Published: February 2020

<p>The paper attempts to apply data mining Technique, Five classification algorithms were used to build data they are (ZeroR, SMO, Naive Bayesian, J48 and Random Forest).The analysis implemented using WEKA (3.8.2) Data mining software tool. The information was collected from college of Information Engineering (COIE) In Al Nahrain University within the variety of form using "Referendum" to estimate the teacher performance; it was store in Excel file CSV format then regenerate to ARFF (Attribute Relation File Format). Many criteria like (Time taken to create models, accuracy and average error) was taken to evaluate the algorithms Random forest and , SMO Predicts higher than alternative algorithms ,since their accuracy is the highest and have lowest average error compared to others ,"The teacher clarification and wanting to be useful to students " was the strongest attribute. Further removing the bad ranked attributes (10, 11, 12, and 14) that have a lower contact on dataset can increase accuracies of algorithms</p>
Performance analysis of routing protocols in MANET
Authors: Walunjkar Gajanan Madhavrao , Rao Anne Koteswara 
Published: February 2020

Popularity of Mobile ad hoc network in research is due to their ad hoc nature and effectiveness at the time of disaster management when no infrastructure support is available. Due to the limited transmission range of wireless network interfaces, multiple network hops may be needed for nodes to exchange data across the network. In such a network, each mobile node operates as a router, forwarding packets for other mobile nodes in the network that may not be within the direct reach. Routing protocols developed for wired networks such as the distance vector or link state protocols are inadequate here as they not only assume mostly fixed topology but also have high overheads. This has lead to several routing algorithms specifically targeted for ad hoc networks. In this paper, we include the MANET supported routing protocols and their performance analysis over different performance parameters such as packet delivery ratio, delay, throughput, control overhead and energy etc.
Theoretical perspectives of the HCD integration in software development process
Authors: Majid Rogayah Abdul , Noor Nor Laila Md. , Adnan Wan Adilah Wan 
Published: February 2020

HCD is an approach that covers all of the human aspects including aesthetic and ergonomics, which will provide a better approach in strengthening the HCI approaches to strengthen the software development process. Lack of guidelines to guide the software practitioners to adopt the HCD in software development process become the main concern in this study. Among the problems that faced by the organizations that have adopted HCD, including problem of managing the resources such as human, financial and infrastructure. Therefore, this study used a theoretical lens to get a better understanding of HCD integration form management perspective, namely operational, tactical (management) and strategy perspective in software development process. Furthermore, the HCDP model is employed in this study because it covers the HCD activities from the project planning stage to the implementation stage of the software development process and it emphasizes on the larger scope of human factors and require broader skills in software development process. As a result, a conceptual model of HCD integration has been developed which emphasizes on the importance of managing the resources and long term strategic planning for the organization. This is due to long term strategic planning and managing organization resources appropriately will contribute to the success of the organization which will increase organizational performance.