bluuebunny/crossref_metadata_2025_split huggingface dataset:
Kaolin Bleaching by Leaching Using Phosphoric Acid Solutions
Authors: Hernández Hernández Román A. 
Published: April 2018

This paper presents a study of kaolin ore bleaching from the municipality of Agua Blanca of Iturbide, Hidalgo, México. This process was carried out using solutions of phosphoric acid as the leaching reagent for the iron dissolution process. It is well known that iron oxide is the major contaminant of clay minerals and silicate used in industry. These contents should be decreased, usually by .1%, to achieve a required whiteness index of 90% (ISO) or higher. The whitening improves its economic value, making it possible to use it as a high-quality raw material in industries such as ceramics and paper. For this purpose, we examined the effect of parameters such as the concentration of the leaching reagent (0.10 M,0.50 M,1 M, and3 M), temperature (298–373 K), and pH level (1, 2 and 3). The experimental results showed that the studied variables have a great influence over the ability to obtain an iron dissolution percentage of more than 98% after 2 hours and 373 K.
ANALISIS DATA FLOW DIAGRAM PENYAMPAIAN KELUHAN PADA INDUSTRI PENERBANGAN DI INDONESIA UNTUK PENINGKATAN KESELAMATAN PENERBANGAN
Authors: Nurdin Riani , Poerwanto Eko , Sajati Haruno 
Published: April 2018

Keluhan yang sering muncul pada Industri Penerbangan di Indonesia sebenarnya menunjukkan adanya permasalahan pada sistem penerbangan tersebut. Banyaknya keluhan berarti dapat dijadikan pendeteksi dini pada sistem sebelum muncul menjadi kecelakaan pada penerbangan. Peningkatan pemakai jasa penerbangan di Indonesia belum didukung dengan sistem penyampaian keluhan yang memadai, baik itu keluhan internal maupun eksternal. Kondisi seperti ini akan mempengaruhi orientasi keselamatan, keamanan dan kenyamanan di industri penerbangan. Salah satu solusi untuk mendeteksi apakah seluruh komponen sistem pada Industri Penerbangan di Indonesia sudah baik dan tidak dalam meningkatkan kinerja sistem adalah dengan mengadakan analisis data flow diagram pada pe-nyampaian keluhan pada Industri Penerbangan di Indonesia untuk meningkatkan kinerja keselamatan penerbangan. Analisis ini diharapkan dapat memudahkan dalam mengontrol, mengevaluasi dan perbaikan kondisi kinerja sistem penerbangan. Penelitian ini menggunakan metode perbandingan dan deskriptif serta bersifat produk terapan, sehingga diharapkan output-nya dapat digunakan untuk menyempurnakan pelayanan keluhan yang saat ini dijalankan oleh Dirjen Perhubungan Udara yang mempunyai tugas sebagai regulator dalam Industri Penerbangan di Indonesia. Tu-juan penelitian ini adalah mengembangkan program State Safety Program (SSP) yang merupakan program yang lebih proaktif sehingga penyampaian keluhan di industri penerbangan dapat digunakan untuk analisis awal adanya masalah pada pelayanan industri penerbangan. Analisis data flow diagram penyampaian keluhan pada industri yang dilakukan adalah menjadikan nomor seluler sebagai input seluruh stakeholder pada industri penerbangan, sehingga menjadi data yang penting untuk diaktifkan dalam SMS Broadcast dengan pengiriman sms ke banyak nomor tujuan sekaligus dengan pesan yang sama. Strategi ini mengaktifkan seluruh stakeholder untuk memberikan informasi yang kondisi terkini pada seluruh sub-sistem pada sistem penerbangan di Indonesia. Hasil dari analisis data flow diagram menunjukkan bahwa adanya aliran informasi yang belum terintegrasi secara keseluruhan pada industri penerbangan.
Developing Lesson Plan of Teaching the Use of Figurative Language in Their Context
Authors: Luthfihayati Dian 
Published: April 2018

Semantic is one of the branches of linguistics studying about meaning. Meanings are ideas or concepts that can be transferred from the mind of the speaker to the mind of the hearer. As we know that sometimes similar expression may have different meaningif it is used in different contextKeywords: lesson plan, teaching, figurative language
Penggunaan Metode Pemecahan Masalah Sistematis (Systematic Approach to Problem Solving) untuk Meningkatkan Hasil Pembelajaran pada Tema Getaran dan Gelombang Siswa Kelas VIII-A SMP Negeri 3 Ngimbang
Authors: Zamroni Zamroni 
Published: April 2018

Untuk meningkatkan hasil pembelajaran siswa kelas VIII A pada tema getaran dan gelombang dilakukan Penelitian Tindakan Kelas. Tujuan yang ingin dicapai dari penelitian ini adalah upaya menjelaskan atau meningkatkan keaktivan siswa melalui penggunaa metode pemecahan massalah sistematis (Systematic Approach to Problem Solving) , upaya meningkatkan hasil belajar pada siswa melalui penggunaa metode pemecahan massalah sistematis (Systematic Approach to Problem Solving). Penelitian ini terdiri dari dua siklus dengan menggunakan teknik analisis data deskriptif kuantitatif dan kualitatif, melalui tahap perencanaan, pelaksanaan tindakan dan observasi, serta refleksi. Pengumpulan data dibantu teman sejawat sebagai kolaborator melalui instrumen observasi untuk mengamati aktivitas guru dan siswa, instrumen angket untuk mengetahui respon siswa sete lah mendapatkan pembelajaran, dan soal tes tulis untuk mengetahui hasil belajar siswa. Hasil penelitian menunjukkan bahwa, aktivivas siswa terhadap pembelajaran dengan metode pemecahan massalah sistematis (Systematic Approach to Problem Solving) mengalami Dengan demikian dapat disimpulkan bahwa keaktivan siswa berada pada kategori aktif, ketuntasan hasil belajar siswa mengalami peningkatan setelah menggunakan metode pemecahanmasalah sistematis (Systematic Approach to Problem Solving)Keywords: Hasil Pembelajaran, pemecahan massalah sistematis (Systematic Approach to Problem Solving)
Study of altered functional connectivity in individuals at risk for Alzheimer’s Disease
Authors: Zhang Yongxin , Liu Xiyu , Zhao Kun , Li Lin , Ding Yanhui 
Published: April 2018

BACKGROUND: Mild Cognitive Impairment (MCI) has been considered to have a high risk in converting into Alzheimer’s Disease (AD). Previous studies showed that AD was associated with changes in resting-state networks (RSNs). However, few studies have evaluated the altered functional connectivity in early mild cognitive impairment (EMCI) and late mild cognitive impairment (LMCI). OBJECTIVE: The aim of this work was to evaluate the impaired network functional connectivity with the disease progression. METHODS: In this paper, we evaluated the impaired function connectivity with the progression of disease based on a priori defined 246 regions of interest based on Brainnetome Atlas. Connectivity analysis based on three levels (node integrity, intra-network, and inter-network) was conducted. RESULTS: Altered function connectivity was detected in several RSNs. These results provided insights into the dysfunction of more RSNs accompany the progression of AD. We also found that one brain region may belong to multiple RSNs and contribute to achieving different network function. CONCLUSIONS: The aberrant intra- and inter-network dysfunctions might be potential biomarkers or predictors of MCI and AD progression and provide new insight into the pathophysiology of these diseases.
Changes in the bilateral pulse transit time difference with a moving arm
Authors: Jiang Xinge , Wei Shoushui , Zheng Dingchang , Huang Peng , Liu Chengyu 
Published: April 2018

BACKGROUND: Changes of pulse transit time (PTT) induced by arm position were studied for unilateral arm. However, consistency of the PTT changes was not validated for both arm sides. OBJECTIVE: We aimed to quantify the PTT changes between horizontal and non-horizontal positions from right arm and left arm in order to explore the consistency of both arms. METHODS: Twenty-four normal subjects aged between 21 and 50 (14 male and 10 female) years were enrolled. Left and right radial artery pulses were synchronously recorded from 24 healthy subjects with one arm (left or right) at five angles (90[Formula: see text], 45[Formula: see text], 0[Formula: see text], [Formula: see text]45[Formula: see text] and [Formula: see text]90[Formula: see text]) and the other arm at the horizontal level (0[Formula: see text]) for reference. RESULTS: The overall mean PTT changes at the five angles (from 90[Formula: see text] to [Formula: see text]90[Formula: see text]) in the left arm (right as reference) were 16.1, 12.3, [Formula: see text]0.5, [Formula: see text]2.5 and [Formula: see text]2.6 ms, respectively, and in the right arm (left as reference) were 18.0, 12.6, 1.6, [Formula: see text]1.6 and [Formula: see text]2.0 ms, respectively. CONCLUSIONS: Obvious differences were not found in the PTT changes between the two arms (left arm moving or right arm moving) under each of the five different positions (all [Formula: see text] 0.05).
Prediction of microRNA and gene target from an integrated network in chronic obstructive pulmonary disease based on canonical correlation analysis
Authors: Hua Lin , Xia Hong , Xu Wenbin , Zheng Weiying , Zhou Ping 
Published: April 2018

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a complex disorder with a high mortality. The pathophysiology of COPD has not been characterized till date. OBJECTIVE: To identify COPD-related biomarkers by a bioinformatics analysis. METHODS: Here, we conducted the canonical correlation analysis to extract the potential COPD-related miRNAs and mRNAs based on the miRNA-mRNA dual expression profiling data. After identifying miRNAs and mRNAs related to COPD, we constructed an interaction network by integrating three validated miRNA-target sources. Then we expanded the network by adding miRNA-mRNA pairs, which were identified by Spearman rank correlation test. For miRNAs involved in the network, we further performed the Gene Ontology (GO) functional enrichment analysis of their targets. To validate COPD-related mRNAs involved in the network, we performed receiver operating characteristic (ROC) curve analysis and Support Vector Machine (SVM) classification on only those mRNAs that overlapped with COPD-related mRNAs of Online Mendelian Inheritance in Man (OMIM) database. RESULTS: The results indicate that some identified miRNAs and their targets in the constructed network might be potential biomarkers of COPD. CONCLUSIONS: Our study helps us to predict the potential risk biomarkers of COPD, and it can certainly help in further elucidating the genetic etiology of COPD.
Effect of 405 nm low intensity irradiation on the absorption spectrum of in-vitro hyperlipidemia blood
Authors: Wang Hong , Liu Weichao , Fang Xiang , Wang Haichen , Ma Wenjiang , Dong Huajiang , Yin Huijuan , Li Ying-Xin , Sha Hong 
Published: April 2018

BACKGROUND: Laser therapy is reported to be clinically effective for improving microcirculation, rheological properties and blood lipid profiles despite the lack of certainty on the mechanism. OBJECTIVE: This study intends to provide methods to drop blood lipid level of hyperlipidemia samples by low-intensity laser irradiation therapy and provide reasoning of mechanism. METHODS: Twenty whole blood samples of high level of lipids profile are irradiated by 405 nm low-intensity laser at 12 J/cm[Formula: see text] twice a day for 3 days and compared with normal lipids profile group. Then whole blood sample are centrifuged to obtain result of erythrocyte for further interpretation. Multi-scan spectrum microplate reader is used to measure absorption spectrum and data is analyzed by software SPSS 14.0. RESULTS: Results show that after 405 nm low-intensity laser irradiation, whole blood samples of high lipid level statistically have higher absorbance peak value than normal samples while erythrocyte samples have lower absorbance peak value. CONCLUSIONS: From the divergence of absorption peak value change after low-intensity laser irradiation for whole blood sample and erythrocyte, we suspect that low level laser irradiation affects the enzymes activity of lipid metabolism, improves the cholesterol balance of plasma and cytoplasm in erythrocyte, and decreases aggregation of the erythrocyte.
Effect of rehabilitation on the somatosensory evoked potentials and gait performance of hemiparetic stroke patients
Authors: Yoon Hyun S. , Cha Young J. , Sohn Min K. , You Joshua (Sung) H. 
Published: April 2018

BACKGROUND: Gait performance of stroke patients is affected by impaired sensory ability. The purpose of the present study was to determine the relationship between somatosensory-evoked potential (SSEP) parameters and gait performance in hemiparetic stroke patients. METHODS: A convenience sample of 17 hemiparetic stroke patients (mean age 60.11 [Formula: see text] 8.83 years; 10 women; right hemiplegia: 10, left hemiplegia: 7) were recruited for the present study. The Electro Synergy system (Viasys Healthcare; San Diego, CA, USA) was used for SSEP evaluation. The 17 patients were assigned to two groups according to their SSEP results as follows: 8 patients to the normal response group and 9 patients to the abnormal group. All the participants underwent the same rehabilitation exercise programs during 4 weeks, followed by clinical evaluation. A mixed-design analysis of a variance model was used to test for differences in timed up-and-go (TUG) test and 10-meter walking test (10MWT) scores between the two independent groups while the participants were subjected to repeated measures (pretest and posttest). RESULTS: Analysis of variance revealed the main time effect ([Formula: see text] 0.05) and group by time interaction effect ([Formula: see text] 0.05). The post hoc test result confirmed that the normal sensory group showed greater improvement in TUG test and 10MWT scores than the abnormal sensory group ([Formula: see text] 0.05). The TUG test and 10MWT scores in the posttest were greater in the normal sensory group than in the abnormal sensory group. CONCLUSIONS: The present study demonstrated the importance of the clinical contribution of the baseline sensory function of individuals with hemiparetic stroke to their gait performance and recovery after stroke rehabilitation. As anticipated, the individuals who had intact or spared sensory function showed greater improvements in gait speed and performance measures than those who had impaired sensory function.
In vivo noninvasive blood glucose detection using near-infrared spectrum based on the PSO-2ANN model
Authors: Dai Juan , Ji Zhong , Du Yubao , Chen Shuo 
Published: April 2018

BACKGROUND: To improving the nursing level of diabetics, it is necessary to develop noninvasive blood glucose method. OBJECTIVE: In order to reduce the number of the near-infrared signal, consider the nonlinear relationship between the blood glucose concentration and near-infrared signal, and correct the individual difference and physiological glucose dynamic, 2 artificial neural networks (2ANN) combined with particle swarm optimization (PSO), named as PSO-2ANN, is proposed. METHOD: Two artificial neural networks (ANNs) are employed as the basic structure of the PSO-ANN model, and the weight coefficients of the two ANNs which represent the difference of individual and daily physiological rule are optimized by particle swarm optimization (PSO). RESULTS: Clarke error grid shows the blood glucose predictions are distributed in regions A and B, Bland-Altman analysis show that the predictions and measurements are in good agreement. CONCLUSIONS: The PSO-2ANN model is a nonlinear calibration strategy with accuracy and robustness using 1550-nm spectroscopy, which can correct the individual difference and physiological glucose dynamics.
Finger language recognition based on ensemble artificial neural network learning using armband EMG sensors
Authors: Kim Seongjung , Kim Jongman , Ahn Soonjae , Kim Youngho 
Published: April 2018

BACKGROUND: Deaf people use sign or finger languages for communication, but these methods of communication are very specialized. For this reason, the deaf can suffer from social inequalities and financial losses due to their communication restrictions. OBJECTIVE: In this study, we developed a finger language recognition algorithm based on an ensemble artificial neural network (E-ANN) using an armband system with 8-channel electromyography (EMG) sensors. METHODS: The developed algorithm was composed of signal acquisition, filtering, segmentation, feature extraction and an E-ANN based classifier that was evaluated with the Korean finger language (14 consonants, 17 vowels and 7 numbers) in 17 subjects. E-ANN was categorized according to the number of classifiers (1 to 10) and size of training data (50 to 1500). The accuracy of the E-ANN-based classifier was obtained by 5-fold cross validation and compared with an artificial neural network (ANN)-based classifier. RESULTS AND CONCLUSIONS: As the number of classifiers (1 to 8) and size of training data (50 to 300) increased, the average accuracy of the E-ANN-based classifier increased and the standard deviation decreased. The optimal E-ANN was composed with eight classifiers and 300 size of training data, and the accuracy of the E-ANN was significantly higher than that of the general ANN.
Soft tissue deformation estimation by spatio-temporal Kalman filter finite element method
Authors: Yarahmadian Mehran , Zhong Yongmin , Gu Chengfan , Shin Jaehyun 
Published: April 2018

BACKGROUND: Soft tissue modeling plays an important role in the development of surgical training simulators as well as in robot-assisted minimally invasive surgeries. It has been known that while the traditional Finite Element Method (FEM) promises the accurate modeling of soft tissue deformation, it still suffers from a slow computational process. OBJECTIVE: This paper presents a Kalman filter finite element method to model soft tissue deformation in real time without sacrificing the traditional FEM accuracy. METHODS: The proposed method employs the FEM equilibrium equation and formulates it as a filtering process to estimate soft tissue behavior using real-time measurement data. The model is temporally discretized using the Newmark method and further formulated as the system state equation. RESULTS: Simulation results demonstrate that the computational time of KF-FEM is approximately 10 times shorter than the traditional FEM and it is still as accurate as the traditional FEM. The normalized root-mean-square error of the proposed KF-FEM in reference to the traditional FEM is computed as 0.0116. CONCLUSIONS: It is concluded that the proposed method significantly improves the computational performance of the traditional FEM without sacrificing FEM accuracy. The proposed method also filters noises involved in system state and measurement data.
The Influence of Stellar Spin on Ignition of Thermonuclear Runaways
Authors: Galloway Duncan K. , Zand Jean J. M. in ’t , Chenevez Jérôme , Keek Laurens , Sanchez-Fernandez Celia , Worpel Hauke , Lampe Nathanael , Kuulkers Erik , Watts Anna , Ootes Laura ,   The MINBAR collaboration
Published: April 2018

Abstract
Runaway thermonuclear burning of a layer of accumulated fuel on the surface of a compact star provides a brief but intense display of stellar nuclear processes. For neutron stars accreting from a binary companion, these events manifest as thermonuclear (type-I) X-ray bursts, and recur on typical timescales of hours to days. We measured the burst rate as a function of accretion rate, from seven neutron stars with known spin rates, using a burst sample accumulated over several decades. At the highest accretion rates, the burst rate is lower for faster spinning stars. The observations imply that fast (>400 Hz) rotation encourages stabilization of nuclear burning, suggesting a dynamical dependence of nuclear ignition on the spin rate. This dependence is unexpected, because faster rotation entails less shear between the surrounding accretion disk and the star. Large-scale circulation in the fuel layer, leading to enhanced mixing of the burst ashes into the fuel layer, may explain this behavior; further numerical simulations are required to confirm this.
Liens entre participation budgétaire, taille et performance : cas des entreprises au Maroc
Authors: Elhamma Azzouz , Lassaad Ben Mahjoub 
Published: April 2018

Ce papier étudie le concept de participation budgétaire ; nous déterminons le niveau de participation au processus budgétaire chez les entreprises marocaines. Ensuite, nous déterminons la relation de cette participation avec la taille de l’entreprise et sa contribution dans la performance de l’entreprise. Nos résultats montrent que la taille n’a pas d’effet significatif sur l’ampleur de la participation budgétaire, d’autre part, nous avons constaté que les processus budgétaires les plus participatifs sont les plus performants.
L’incartade socialiste de 1981
Authors: Asselain Jean-Charles 
Published: April 2018

Dans ce texte issu d’une communication lors d’un séminaire de recherche, l’auteur souligne d’abord la rupture politique que constitue le tournant de mars 1983, du fait d’une « inversion des priorités » en matière de politique économique. Il s’attache à définir des continuités fortes entre la politique menée à la fin des années 1970 et celle des années 1980, et offre de nouveaux découpages chronologiques. Enfin, à l’aulne de son analyse macro-économique de moyenne durée, la parenthèse de 1981-1983 apparaît comme un échec économique et social qui aura contribué, plus que n’importe quelle argumentation libérale, à ancrer la conviction qu’il n’existe aucune alternative possible à la politique de rigueur et au primat de l’entreprise privée.
Qui sont les personnes sans domicile en France depuis 1945 ?
Authors: Brodiez-Dolino Axelle 
Published: April 2018

Qui ont été les sans-abri en France au 20 e siècle ? Ce qui paraît aujourd’hui nouveau l’est-il vraiment ? Embrassant, au prisme de l’urgence sociale lyonnaise, la période qui court de 1945 à nos jours, l’article montre comment, de l’après-guerre aux années 1970, la figure du « clochard » a masqué un iceberg composite de personnes sans domicile ou mal-logées. Il revient sur le retournement économique des années 1970-1980 et sur la montée des demandes d’hébergement et analyse comment, depuis les années 1990, des politiques publiques et des initiatives associatives novatrices répondent à de nouvelles recompositions sociologiques principalement dues à la durabilité de la crise et à de nouvelles arrivées migratoires.