nils-herrmann/clean_scirepeval huggingface dataset:
Experimental study on bump foil gas bearing with different diametric clearance configurations
Year: 2015

The stability characteristics of a 25 mm rotor turboexpander with bump foil journal gas bearing pairs and a pair of pressurized thrust bearing are investigated in this study. The journal gas bearing pairs in various inner diameters supply radial support for the rotor with different hydrodynamic gas film thicknesses, and the pair of pressurized thrust bearings balances the axial forces. The experimental results reveal that the stability of the bump foil gas bearing is achieved over a wide range of diametric clearances and that an optimal nominal diametric clearance exists, thus resulting in high rotation speed with small vibration amplitudes. The maximum turboexpander speed reached 93.3 krpm under the nominal diametric clearance of 0 um with a maximum synchronous amplitude of less than 20 um.
Analysis of On Board Passenger Information Display Interface in Mass Transportation Modes Based on Emotional Design
Venue: Proceedings of the 2019 5th International Conference on Industrial and Business Engineering
Year: 2019

Telecommunication facilities as a media of delivering information are a mandatory facility in rail based transportation modes. Delivering information in transportation modes can be done through visual based information, the On Board Passenger Information Display. Information that is shown to the passengers can affect trust, safety, travel, and comfort, so it is very important to design an On Board Passenger Information Display that is suitable to the user's desire. Therefore, this study aims to analyze the On Board Passenger Information Display interface that is suitable for the user's emotional perspective. The method used is Kansei Engineering through factor analysis and association rules. Kansei Engineering is used to translate the user's feeling into design specification of the user interface. Association rules inferred the relationship of a combination of design elements and attributes with the degree of emotion. This study produced three designs from Kansei words, they were 'Futuristic' 'Simple' and 'Dynamic' Based on the test results done by performance metrics, self reported metrics, issued based metrics, and eye tracking, Kansei word "Simple" has the highest ranking and can be classified as the most suitable On Board Passenger Information Display interface to be applied.
A Review of Remote Patient Monitoring System Potentials Challenges and Current Issues
Year: 2016

Physiological parameters are often considered as critical information to assess initial health condition and underlying health issues. These signs can contribute towards early detection, early diagnosis and risk reduction of fatal incidents. Today"s advanced monitoring systems incorporate the balanced combination of clinical and technological aspects to give an innovative healthcare outcome. Remote patient monitoring systems are rapidly becoming the core of today"s healthcare deliveries. The paradigm shifted from traditional and manual recording to computer based electronic records and further to smart phones as versatile and innovative healthcare monitoring systems. Moreover, a comprehensive review of related literature in the context of acceptability, mobility, reliability and efficiency of patient monitoring systems in healthcare delivery and handling physiological measurements is presented. The outcome of this study indicates that despite some limitations commented by patients and clinicians, these systems should be more compact and simple to operate and they should be available to healthcare professionals with minimum interruption to normal daily life activities.
QoE awareness in progressive caching and DASH based D2D video streaming in cellular networks
Venue: Wirel. Networks
Year: 2020

In this paper, we present an architecture to improve video streaming quality of experience (QoE) in cellular networks with high user equipment (UE) density. In the proposed architecture, video segments are progressively cached, as requested, in selected UEs called storage members (SMs) Video segments are strategically cached to be available to requesting users in the cell. Furthermore, the base station controls the device to device communication between the UEs to provide collaborative peer to peer transmission of video segments. Dynamic adaptive streaming over HTTP is also employed to adapt the quality of video segments to network conditions. We study the improvements achieved by the proposed architecture in terms of many video streaming QoE metrics. Thereafter, we improve the operation of the proposed architecture by introducing QoE awareness to both caching and distribution of video segments. We employ QoE awareness in three aspects of the proposed architecture; cellular resource allocation, caching of video segments, and SM assignment optimization. We analyze the improvements achieved by the prospered QoE awareness techniques in terms of video streaming QoE metrics.
A Decision Making Framework of Hybrid System Based on Modified Hybrid Stochastic Timed Petri Net and Deep Learning
Venue: IEEE Systems Journal
Year: 2021

For designing the decision model of hybrid systems, there are sophisticated quantitative and qualitative attributes such as discrete events, continuous processes, stochasticity, and time delay. Meanwhile, the inherent heterogeneity and concurrency existing in hybrid systems trigger multiple decision challenges, including behavior uncertainty and states consistency. It is difficult to express the complicated nonlinear mapping relationship between decision results and hybrid situations. This proposes the decision making scheme M HSTPN DL with a three tier architecture based on modified hybrid stochastic timed Petri net (M HSTPN) and deep learning (DL) Among them, M HSTPN describes the various hybrid situations, and DL models are taken as the decision model to express the nonlinear relationship between decision results and hybrid situations. Then the training and calling mechanism of decision models is introduced. Taking the hybrid system of bearing fault diagnosis as an example, we compare the decision making ability of multiple decision models and analyze the advantage of M HSTPN DL. It has proven to be that the M HSTPN DL architecture can adequately represent the hybrid situation and solves the complex decision making problem of hybrid systems.
A survey of headache among nursing students in a Nigerian university
Year: 2019

Headache is a common neurological disorder associated with a significant disease burden particularly among young people. Data on headache among undergraduate students in Nigeria are still scanty. The main objectives were to determine the 1 year prevalence of headache and headache subtypes among a cohort of nursing undergraduate students, to identify trigger factors and assess mode of treatment of acute attacks among the affected students.  This was a cross sectional descriptive study carried out over a 2 month period from September to October 2011 among nursing students of the Ladoke Akintola University of Technology, Osogbo Nigeria, who had recurrent headaches (unrelated to febrile illness or any underlying disease) in the past one year. Data were collected using a self administered questionnaire. Demographic variables, age of onset of headache, past medical, family and social histories were obtained.  A total of 213 out of 289 nursing students returned completed questionnaires giving a participation rate of 73.7% Headache was reported by 90 students (42.3% with higher prevalence in men (44.8% compared to women (41.8% Migraine headache was the commonest headache subtype constituting 26.8% .Common triggers of headache attacks included sleep deprivation (65.6% physical and mental fatigue (53.3% Only 8.9% of students affected by headache sought medical assistance during acute attack.  Our study found a relatively high proportion of migraine headache among nursing students with headache in this Nigerian University. Awareness of appropriate prophylactic and therapeutic medications was dismally low.  Prevalence, Headache, Nursing students trigger factors
Praktik akad ijarah pada pembiayaan multijasa umrohdi PT. BPRS Saka Dana Mulia Kudus
Year: 2018

PT.BPRS Saka Dana Mulia Kudus merupakan lembaga keuangan yang berperan dalam menyimpan dana dan menyalurkan dana. Salah satu kegiatan penyaluran dana dapat diberikan kepada masyarakat untuk memperoleh manfaat salah satunya manfaat atas suatu jasa. Tetapi dalam hal ini produk pembiayaan multijasa peminatnya lebih sedikit dari pembiayaan yang lain jika dilihat dari sisi obyek kebutuhan. Oleh karena itu penulis tertarik untuk melakukan penelitian lebih dengan judul "Praktik Akad Ijarah pada pembiayaan Multijasa (Umroh) di PT. BPRS Saka Dana Mulia Kudus" Jenis penelitian ini adalah penelitian lapangan (field reseacrh) dengan menggambil lokasi di PT. BPRS Saka Dana Mulia Kudus. Data data yang digunakan adalah data primer dan sekunder. Metode pengumpulan diperoleh dari metode dokumentasi, observasi, dan wawancara. Data data yang terkumpul kemudian dianalisis dengan menggunkan metode deskriptif. Hasil penelitian ini adalah Mekanisme Produk Pembiayaan Multijasa dengan Akad Ijarah di BPRS Saka Dana Mulia Kudus yaitu menggunakan prosedur prosedur yang simpel, seperti nasabah datang ke BPRS Saka Dana Mulia untuk mengajukan pembiayaan dan melengkapi syarat syarat yang di tetapkan oleh pihak BPRS Saka Dana Mulia, lalu pihak Account Officer mensurvey keadaan nasabah, dan apabila hasil survey menunjukan Nasabah layak, maka nasabah diberikan pembiayaan. Sedangkan Untuk Praktik Akad Ijarah Pada Produk Pembiayaan Multijasa di BPRS Saka Dana Mulia yaitu dibuatkan perjanjian (akad) antara lembaga keuangan syariah sebagai pemberi pembiayaan dan nasabah sebagai penerima pembiayaan.
Effective Communication in Nursing Practice A literature review
Year: 2017

Communication is almost a natural involuntary action to nearly all, hence the importance of it's effectiveness could be easily overlooked. Since communication is an integral part of nursing, a medium through nurses relate with patients, therefore an ineffetive communication skills would have positive impact on the quality of healthcare output. This study aims to explore effective communication, it's barriers, how it relates to and affects health and also to find the means to improve effective communication in health care settings.  This work is a product of a literature review, which was done on the of basis of the writer's established inclusion and exclusion criteria. The sources of article are EBSCO, PubMed, SAGE, and Science Direct. In total 12 articles were selected for the analysis. The data analysis was according to Graneheim and Lundman (2004) qualitative content analysis and the findings were also sturcturally narrated using imductive content analysis technique.  The review indicated that effective coomunication directly impacts the health and satisfaction of patients. It also indicates that most barriers to effective communication are associted with the characteristics of healthcare providers and patients. More trainings need to be organised to educate nurses about the professional use of effective communication; awareness of nurses' own characteristics and strategies to understand patients's cues and characteristics.  The review indicates that the use of effective communication skill in healthcare settings does not only benefit patients it also benefits healthcare providers in the aspect of their and job satisfaction and health.
Asymmetry Hurts: Private Information Retrieval Under Asymmetric Traffic Constraints
Venue: IEEE Transactions on Information Theory
Year: 2019

We consider the classical setting of private information retrieval (PIR) of a single message (file) out of <inline formula> <tex math notation="LaTeX"$M$ /tex math>/inline formula> messages from <inline formula> <tex math notation="LaTeX"$N$ /tex math>/inline formula> distributed databases under the new constraint of <italic>asymmetric traffic</italic> from databases. In this problem, the <italic>ratios between the traffic</italic> from the databases are constrained, i.e. the ratio of the length of the answer string that the user (retriever) receives from the <inline formula> <tex math notation="LaTeX"$n$ /tex math>/inline formula>th database to the total length of all answer strings from all databases is constrained to be <inline formula> <tex math notation="LaTeX"\tau _{n} /tex math>/inline formula> This may happen if the user's access to the databases is restricted due to database availability, channel quality to the databases, and other factors. For this problem, for fixed <inline formula> <tex math notation="LaTeX"$M$ /tex math>/inline formula> <inline formula> <tex math notation="LaTeX"$N$ /tex math>/inline formula> we develop a general upper bound <inline formula> <tex math notation="LaTeX"\bar {C}\boldsymbol \tau /tex math>/inline formula> which generalizes the converse proof of Sun Jafar, where database symmetry was inherently used. Our converse bound is a piece wise affine function in the traffic ratio vector <inline formula> <tex math notation="LaTeX"\boldsymbol \tau \tau _{1} \cdots \tau _{N} /tex math>/inline formula> For the lower bound, we explicitly show the achievability of <inline formula> <tex math notation="LaTeX"\binom {M+N 1}{M} /tex math>/inline formula> corner points. For the remaining traffic ratio vectors, we perform time sharing between these corner points. The recursive structure of our achievability scheme is captured via a system of difference equations. The upper and lower bounds exactly match for <inline formula> <tex math notation="LaTeX"$M=2$ /tex math>/inline formula> and <inline formula> <tex math notation="LaTeX"$M=3$ /tex math>/inline formula> for any <inline formula> <tex math notation="LaTeX"$N$ /tex math>/inline formula> and any <inline formula> <tex math notation="LaTeX"\boldsymbol \tau /tex math>/inline formula> The results show strict loss of PIR capacity due to the asymmetric traffic constraints compared with the symmetric case of Sun Jafar which implicitly uses <inline formula> <tex math notation="LaTeX"\tau _{n}\frac {1}{N} /tex math>/inline formula> for all <inline formula> <tex math notation="LaTeX"$n$ /tex math>/inline formula>
NOVA: Towards on demand equivalent network view abstraction for network optimization
Venue: 2017 IEEE/ACM 25th International Symposium on Quality of Service (IWQoS)
Year: 2017

As many applications today migrate to distributed computing and cloud platforms, their user experience depends heavily on network performance. Software Defined Networking (SDN) makes it possible to obtain a global view of the network, introducing the new paradigm of developing adaptive applications with network views. A naive approach of realizing the paradigm, such as distributing the whole network view to applications, is not practical due to scalability and privacy concerns. Existing approaches providing network abstractions are limited to special cases, such as bottlenecks exist only at networks edges, resulting in potentially suboptimal or infeasible decisions. In this paper, we introduce a novel, on demand network abstraction service that provides an abstract network view supporting not only accurate end to end QoS metrics, which satisfy the requirements of many peer to peer applications, but also multi flow correlation, which is essential for bandwidth sensitive applications containing many flows to conduct global network optimization. We prove that our abstract view is equivalent to the original network view, in the sense that applications can make the same optimal decision as with the complete information. Our evaluations demonstrate that the abstraction guarantees feasibility and optimality for network optimizations and protects the network service providers' privacy. Our evaluations also show that the service can be implemented efficiently; for example, for an extreme large network with 30,000 links and abstraction requests containing 3,000 flows, an abstract network view can be computed in less than one second.
Ethanolic extract of Kaempferia parviflora interrupts the mechanisms associated rheumatoid arthritis in SW982 culture model via p38/STAT1 and STAT3 pathways.
Venue: Phytomedicine international journal of phytotherapy and phytopharmacology
Year: 2019

Wall. ex Baker (KP) has long been used in traditional medicine to treat various diseases because active compounds in rhizome extracts are important anti inflammatory agents.  This study aims to investigate the effects of an ethanolic extract of KP on the molecular mechanisms associated with rheumatoid arthritis (RA) which was induced by a combination of proinflammatory cytokines (IL 1b or TNF a with IL 17A) in a human synovial sarcoma cell line (SW982) culture model.  SW982 cells pretreated with cytokines were incubated with KP extract at 3 30 ug/ml, or three major compounds of KP (5,7 dimethoxyflavone, 5,7,4' trimethoxyflavone, and 3,5,7,3',4' pentamethoxyflavone) for up to 72 h. Dexamethasone was used as positive control. RA associated genes and inflammatory products were measured in parallel with cell death genes. Apoptosis by flow cytometry and migration assay were also analyzed. Western blotting was used to examine the effects on intracellular signaling mechanisms.  KP extract markedly reduced the expression of genes and levels of proinflammatory cytokines, inflammatory mediators, and matrix degraded enzymes, but neither induced apoptosis nor altered the cell cycle. Its major constituents differently exerted suppressive effects on inflammatory genes. The KP extract downregulated the expression of genes associated with autophagosome and necroptosome formations. The extract also inhibited cell migration, reduced the mRNA expression of cadherin 11, and selectively reduced the phosphorylation of p38 MAPK, STAT1, and STAT3 signaling molecules, but did not interfere with the NF kB pathway.  These results suggest that the anti arthritic potential of KP extract results from anti inflammation and anti migration via the suppression of the cytokines induced p38/STAT1 and STAT3 pathways.
High Precision Indoor Visible Light Positioning Using Deep Neural Network Based on the Bayesian Regularization With Sparse Training Point
Venue: IEEE Photonics Journal
Year: 2019

In this letter, we propose an indoor visible light positioning technique that combines deep neural network based on the Bayesian Regularization (BR DNN) with sparse diagonal training data set. Unlike other neural networks, which require a large number of training data points to locate accurately, we realize the high precision positioning with only 20 training points in a 1.8 m x 1.8 m x 2.1 m location area. Furthermore, we test a new optimization method of training data set, which is the diagonal set. To verify our ideas, we experimentally demonstrate three different training data acquisition methods that contain the common choice of training points (even set) arbitrary selection (arbitrary set) and diagonal selection (diagonal set) Experimental results show that the average localization accuracy optimized by the BR DNN is 3.40 cm with the diagonal set, while the average localization accuracy is 4.35 cm for the arbitrary set and 4.58 cm for the even set. In addition, the training time and positioning time are only 11.25 and 8.66 ms due to a significant reduction of the sparse training data. All of the aforementioned experimental results show that the algorithm and training data optimization we proposed provide a new solution for real time and high accuracy positioning with the neural network.
Prevalence of Virulence Genes Among Bulgarian Nosocomial and Cystic Fibrosis Isolates of Pseudomonas Aeruginosa
Venue: Brazilian journal of microbiology [publication of the Brazilian Society for Microbiology]
Year: 2010

The aim of this study was to evaluate the prevalence of some virulence genes among 202 Pseudomonas aeruginosa isolates from cystic fibrosis (CF) patients (n=42) and non CF in patients (n=160) and to analyze the values according to the patient groups, infection localization and antimicrobial resistance. The following frequencies in all studied strains were established: algD (encoding GDP mannose 6 dehydrogenase AlgD) 91.1% pilB (type IV fimbrial biogenesis protein PilB) 23.8% nan1 (neuraminidase) 21.3% lasB (elastase LasB) 100% plcH (haemolytic phospholipase C precursor) 91.6% exoS (exoenzyme S) 62.4% and exoU (exoenzyme U) 30.2% The prevalence of nan1 was significantly higher (P<0.01) in CF isolates (38.1% than that in non CF isolates (16.9% The nan1 positive CF strains were cultured from 16 patients with recurrent lung exacerbations. This study revealed a statistically significant difference (P<0.01) between the portion of multidrug resistant (MDR) nosocomial P. aeruginosa strains containing a large number =5) of virulence genes (38.1% and the respective part of non MDR isolates (17.6% Moreover, pilB, exoU and nan1 manifested a higher spread (P<0.001) among MDR than in non MDR strains (respectively, 39.1% vs. 13.2% 40.2% vs. 17.7% and 26.1% vs. 4.4% In conclusion, the dissemination of nan1 in CF isolates was moderate and correlated with the lower proportion of patients with lung exacerbations. The molecular genetic detection of this gene may be used as an indirect measure of CF pulmonary disease evolution. Simultaneous determination of virulence factors and antimicrobial resistance is the contemporary approach for examination of the microbiological aspects of infections caused by P. aeruginosa.
Determinants of Complete Resection of Thymoma by Minimally Invasive and Open Thymectomy: Analysis of an International Registry
Venue: Journal of thoracic oncology official publication of the International Association for the Study of Lung Cancer
Year: 2017

Minimally invasive thymectomy (MIT) is a surgical approach to thymectomy that has more favorable short term outcomes for myasthenia gravis than open thymectomy (OT) The oncologic outcomes of MIT performed for thymoma have not been rigorously evaluated. We analyzed determinants of complete (R0) resection among patients undergoing MIT and OT in a large international database.  The retrospective database of the International Thymic Malignancy Interest Group was queried. Chi square and Wilcoxon rank sum tests, multivariate logistic regression models, and propensity matching were performed.  A total of 2514 patients underwent thymectomy for thymoma between 1997 and 2012; 2053 of them (82% underwent OT and 461 (18% underwent MIT, with the use of MIT increasing significantly in recent years. The rate of R0 resection among patients undergoing OT was 86% and among those undergoing MIT it was 94% (p 0.0001) In propensity matched MIT and OT groups (n 266 in each group) however, the rate of R0 resection did not differ significantly (96% in both the MIT and OT groups, p 0.7) Multivariate analyses were performed to identify determinants of R0 resection. Factors independently associated with R0 resection were geographical region, later time period, less advanced Masaoka stage, total thymectomy, and the absence of radiotherapy. Surgical approach, whether minimally invasive or open, was not associated with completeness of resection.  The use of MIT for resection of thymoma has been increasing substantially over time, and MIT can achieve rates of R0 resection for thymoma similar to those achieved with OT.