bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of the response surface method (RSM) to optimize of the conditioning of primitive rye grain krzyca (Secale cereale var. multicaule) before milling
Authors: Konopka Stanisław , Piłat Beata 
Published: April 2020

The aim of the current study is to optimize the conditioning process of a primitive rye called (in Polish) krzyca which has recently been reintroduced to farming. The experiment was conducted according to the Box-Behnken model with three independent variables: the temperature of water used for grain conditioning (10, 15, 20 oC), the duration of the conditioning process (4, 10, 16 h) and the final grain moisture (13, 14, 15 %). In the obtained flours, four dependent variables were determined (time of grain milling, yield of extraction flour, ash content of flour and falling number value). The obtained polynomial equations and response surface method showed on significance of the used ranges of independent values, with the highest impact noted for flour ash and falling number values.
Penalized logistic regression based on L1/2 penalty for high-dimensional DNA methylation data
Authors: Jiang Hong-Kun , Liang Yong 
Published: April 2020

BACKGROUND: DNA methylation is a molecular modification of DNA that is vital and occurs in gene expression. In cancer tissues, the 5’–C–phosphate–G–3’(CpG) rich regions are abnormally hypermethylated or hypomethylated. Therefore, it is useful to find out the diseased CpG sites by employing specific methods. CpG sites are highly correlated with each other within the same gene or the same CpG island. OBJECTIVE: Based on this group effect, we proposed an efficient and accurate method for selecting pathogenic CpG sites. METHODS: Our method aimed to combine a [Formula: see text] regularized solver and a central node fully connected network to penalize group constrained logistic regression model. Consequently, both sparsity and group effect were brought in with respect to the correlated regression coefficients. RESULTS: Extensive simulation studies were used to compare our proposed approach with existing mainstream regularization in respect of classification accuracy and stability. The simulation results show that a greater predictive accuracy was attained in comparison to previous methods. Furthermore, our method was applied to over 20000 CpG sites and verified using the ovarian cancer data generated from Illumina Infinium HumanMethylation 27K Beadchip. In the result of the real dataset, not only the indicators of predictive accuracy are higher than the previous methods, but also more CpG sites containing genes are confirmed pathogenic. Additionally, the total number of CpG sites chosen is less than other methods and the results show higher accuracy rates in comparison to other methods in simulation and DNA methylation data. CONCLUSION: The proposed method offers an advanced tool to researchers in DNA methylation and can be a powerful tool for recognizing pathogenic CpG sites.
A study of a fetal heart rate calculation system based on R-R interval
Authors: Zhang Yisong , Zhang Song , Yang Lin , Yang Yimin , Li Xuwen , Hao Dongmei , Xu Mingzhou , Shao Jing 
Published: April 2020

BACKGROUND: Fetal electrocardiogram (FECG) can be obtained in a non-invasive manner to monitor fetal growth status. OBJECTIVE: In this study, a fetal heart rate (FHR) calculation system was proposed, which consists of the FECG recorder (MF-HOLTER) and the FECG monitoring software (FECG-MS). The abdomen electrocardiogram (AECG) of pregnant woman is acquired through the MF-HOLTER. The FECG-MS packs the AECG data and calls the FECG separation algorithm to obtain the separated FECG and the fetal QRS (FQRS) position. The FHR is further obtained by calculating the R-R interval value. At the same time, this study proposed a FQRS position correction algorithm to calculate the correct FHR values. METHOD: In order to verify the accuracy of the FHR calculation, the ECG signal of FLUKE’s PS320 FETAL SIMULATOR and clinical data were simultaneously tested. RESULTS: The accuracy rate is over 98% in processing the simulator’s data. In processing clinical data, the FHR values obtained by both the system proposed in this study and Monica AN24 are very close, and the difference is less than 1 bpm. CONCLUSION: The results show that the FHR calculation system is accurate and stable, and has a positive application value and prospect.
Clinical evaluation of the effectiveness of a new orthotic device for the non-operative treatment of scoliosis
Authors: Han Kap-Soo , Kim Gi-Wook , Kang Seung-Rok , Ko Myoung-Hwan , Seo Jeong-Hwan 
Published: April 2020

BACKGROUND: Bracing is one of the oldest non-operative treatments for patients with scoliosis. However, a wide variety of braces is used, and some show no effect, while others show conflicting results. OBJECTIVE: We aimed to evaluate the effectiveness of a new orthotic device for the treatment of adult scoliosis. METHODS: Twenty adult patients who were diagnosed with scoliosis and qualified for the study were selected and all participants were treated for 12 hours/day for 12 weeks using a new orthotic device. Various efficacy assessments (Cobb’s angle, spine length, pelvic angle, shoulder angle, thoracic angle, lumbar angle, pelvic sacral angle) were performed before and after the 12-week treatment. The values at each time point were compared. RESULTS: There were significant treatment effects in a time-dependent manner on every efficacy assessment ([Formula: see text] 0.05) after 12 weeks of bracing. CONCLUSION: In this clinical study, it was demonstrated that a new brace that is more comfortable for the wearer reduced scoliosis and may be a useful option for non-operative treatment of scoliosis.
Analysis of physiological data from long- term physical exercise: A basis for improving the health of rural residents of Korea
Authors: Kim Kyong , Kim Tae-Won , Kim Seong Hyun 
Published: April 2020

BACKGROUND: Analysis of the change pattern of a user’s physiological signals collected over a long time and user health information prediction technology based on personal history data can provide the user with accurate health information. OBJECTIVE: In this study, we analyzed the change pattern of health information that was altered by performing personal training (PT) at the beginning of the study and subsequently quitting exercise and only performing activities of daily living (ADL). METHODS: The subject performed PT for 75 days, and then consistently performed relatively simple ADL, such as standing, sitting, and walking, for 325 days that followed. After 400 days, the health information was analyzed through the change patterns of various physiological signals. Personal exercise information and heart rate data were collected through a smart watch (Apple watch Nike[Formula: see text], Apple Inc.) and the obesity parameters (i.e. information on the weight, body fat fate, and body muscle rate) were measured using a smart scale (PICOOC S1 Pro, EasySolar). RESULTS: We found that the weight and body fat rate linearly decreased and the body muscle rate increased for the first 75 days when hard training was performed whereas they repeatedly increased or decreased when only ADL were performed. As the daily exercise distance increased, weight and body fat rate tended to decrease while body muscle rate tended to increase. There was no significant change in the weight, body fat rate, and body muscle rate while daily activities were performed, but continuous exercise is expected to improve cardiac function by increasing the cardiac output of the heart. CONCLUSION: We expected that the simple physiological data measured with smart watches and smart scales can be used for the health management of the elderly living in rural areas in the future.
Experimental study on differential diagnosis of cerebral hemorrhagic and ischemic stroke based on microwave measurement
Authors: Wang Feng , Zhang Haisheng , Bao Junlin , Li Huaiqiang , Peng Weihao , Xu Jia , Yang Jun , Zhuang Wei , Ning Xu , Xu Lin , Qiao Liang , Qin Mingxin , Chen Mingsheng 
Published: April 2020

BACKGROUND: Hemorrhagic stroke and ischemic stroke have similar symptoms at the onset of the disease, but their clinical treatment is completely different. The early, effective identification of stroke types can effectively improve the cure rate. OBJECTIVE: In this study, an early, noncontact identification of the stroke type, i.e., hemorrhagic or ischemic, based on a microwave measurement technique was investigated. METHODS: This study was based on animal models of cerebral hemorrhage and cerebral ischemia and the design of a microwave scattering parameter measurement system. RESULTS: The accuracy of the cerebral hemorrhage model with a blood loss interval of 2 ml reached 93.75%. While the accuracy of the cerebral ischemia model with an ischemic interval of 42 minutes reached 91.7%. CONCLUSION: The experimental results show that the system for identifying cerebral stroke based on microwaves can distinguish between cerebral hemorrhage and cerebral ischemia models and effectively distinguish between different degrees of cerebral hemorrhage or different durations of cerebral ischemia. This experimental system is inexpensive, portable, noninvasive, simple, and rapid and thus has good potential as a method for identifying the stroke type prior to hospitalization.
A simple method for removing initial irregularity of an electrocardiogram during a transient state of a power supply in a defibrillator
Authors: Yi Jeong-Han , Kim Ki-Han , Ahn Jin-Su , Kim Hyung-Sik 
Published: April 2020

BACKGROUND: The defibrillator is a device that instantaneously discharges the high energy stored in the capacitor to the human body to help revitalize the heart. The circuit for charging the capacitor uses the same power source as the biosignal measurement unit. Therefore, variation in main power supply voltage, ground noise, and electromagnetic interference from the charging circuit can induce distortion into the biosignal at the initial stage of charging. OBJECTIVE: In this study, a simple method is proposed for removing the initial irregularity of an electrocardiogram due to the transient state of a power supply. METHODS: To evaluate the method, a 1-channel electrocardiogram measurement unit and peripheral units were separated from the main control module using galvanic isolation. An isolated push-pull converter was designed to power the secondary side. The method was tested under steady-state and transient conditions. RESULTS: The obtained results proved that biosignal distortion can be significantly reduced. CONCLUSION: This method could be another simple implementation approach for solving signal distortions due to the transient status of power supplies used in medical devices.
Reading fluency and pitch discrimination abilities in children with learning disabilities
Authors: Lu Haidan , Zhang Kaili , Liu Qiaoyun 
Published: April 2020

BACKGROUND: Pitch perception and pitch matching may link to individual reading skills. OBJECTIVE: In this study, we examined pitch perception and pitch matching tasks in children with learning disabilities to determine whether there was any connection between these tests and the reading fluency in these children. METHOD: The study used different types of pitch discrimination tests and reading fluency tests to compare the two groups. RESULTS: Results indicated that the accuracy of pitch discrimination and reading fluency was significantly different in these children with learning disabilities relative to typically developing children. This study also indicated that they exhibit impaired pitch matching, which linked to their reading skills. CONCLUSION: The results indicate that processing and production of speech may be impacted by individuals’ musical pitch perception and matching ability. The results may also give us a piece of evidence that we need further research on how these deficits in musical pitch perception affect our speech and language production in children and adults.
Rehabilitative training system based on a ceiling rail for detecting the intended movement direction of a user
Authors: Kim Kyong , Chong Woo Suk , Yu Chang Ho 
Published: April 2020

BACKGROUND: Accurate detection of the intended movement direction of a patient plays an important role in the development of a training system for gait rehabilitation and enables to increase the effect of gait rehabilitation training. OBJECTIVE: This study investigated the detection of the intended movement of a user to operate a ceiling rail-based rehabilitative training system with accurate timing. METHODS: To detect the movement direction intention of a user, two potentiometers were used to measure the movement direction in the anterior, posterior, and left and right directions of the user when operating the driving motor of the rehabilitative training system. A simple test mock-up with two potentiometers was fabricated, and the experiments were conducted to determine the effect of the direction of movement on the measured values of potentiometers. A direction measurement algorithm was developed to control the driving motor of the rail-based gait rehabilitative training system. RESULTS: The intended movement direction of the user could be predicted for eight directions by combining the “positive value, 0, negative value” of each measured value of the two potentiometers. Further, the developed algorithm was effectively used to control the driving function to assist the walking, sitting–standing, and climbing up–down the step activities in daily life. CONCLUSIONS: The movement intention detection function for users developed in this paper can be used to effectively control a rehabilitative training system for patients with hemiplegia to improve gait movement and posture balance, thereby improving their function of activities of daily living.
A coronary artery segmentation method based on region growing with variable sector search area
Authors: Ma Guangkun , Yang Jinzhu , Zhao Hong 
Published: April 2020

BACKGROUND: Coronary artery image segmentation is an important auxiliary method for coronary artery disease diagnosis. OBJECTIVE: The classical region growing algorithms, which only consider the intensity of pixels, are noise-sensitive and require manual interaction. To this end, recent methods simultaneously consider the intensity of pixels and multi-scale analysis with the region growing. Nevertheless, these methods are not fully optimized and they suffer from the drawbacks of over- or under-segmentation in many cases. METHODS: In this paper, we propose a region growing based coronary artery segmentation method. Different from the existing methods, the variable sector search area is considered in the region growing technique. A growing rule is proposed to segment the vessel, which combines the Hessian vector and the region growing with the variable sector search area. To further improve the quality of segmentation, we propose an optimization of removing some small disconnected regions. RESULTS: Our proposed method can search more branches while segmenting the vessel, even the small ones. It keeps an acceptable performance when dealing with stenosis and large curvature of blood vessels. CONCLUSIONS: Quantitative evaluations are conducted on coronary angiography and the results show that the proposed method achieves a higher DSC ratio and a more reliable sensitivity ratio.
Higher Education Students’ Voice in Experiencing Problem Based Learning
Authors: Pradita Intan , Fadila Safira Pelita 
Published: April 2020

This paper is aimed at describing the students’ perception of the implementation of problem-based learning during the Materials Development course in the eve semester 2018. The participants were 58 students of English pre-service teachers. The data were collected through the 58 reflective writings at the end of the course, and the observation recording during the group discussion. Through qualitative analysis, there are five positive themes, and two negative themes found in the reflective writings. This study found that among three characteristics of Problem based learning, most of the students perceived positively in stimulating critical thinking and devoting authentic experiences. Whereas, there are also some students who perceived problem-based learning as challenging, especially in technical obstacles such as; the appearing of the lecturer’s stress during discussion session; not engaging friends in a group.
Reseñas
Authors: Romero Rodríguez, S.I. José Juan , Rodero Franganillo Adolfo , Núñez–Cortés Contreras Pilar , Morales Gutiérrez Alfonso Carlos 
Published: April 2020

Reseñas de las obras:
NURSER, J. (2005), For All Peoples and All Nations. Christian Churches and Human Rights, Geneva, World Council of Churches Publications, 220 págs.
TORO CEBADA, J. y MARTÍNEZ MORA, F. (2004), Cuestiones clave de la economía española, III Jornadas, Sevilla, Centro de Estudios Andaluces, 196 págs.
GARRIGUES GIMÉNEZ, A. (2004), La maternidad y su consideración jurídico laboral y de Seguridad Social, Madrid, Colección Estudios, Consejo Económico y Social, 283 págs.
VERNIS, A.; IGLESIAS, M.; SANZ, B. y SANZ, A. (2004), Los retos en las Organizaciones No Lucrativas. Claves para el fortalecimiento institucional del Tercer Sector, Barcelona, Granica, 286 págs.
"La regulación de la inmigración en Europa" (Recensión)
Authors: Yuste Charques Rafael 
Published: April 2020

Recensión de l aobra de: AJA, E. Y DÍEZ, L., Coord. (2005), La regulación de la inmigración en Europa, Barcelona, Colección de Estudios Sociales, núm. 17, Obra Social de la Fundación “la Caixa”, 313 págs.
Citrus Pest Quick Guide: Diaprepes Root Weevil
Authors: Diepenbrock Lauren M , Burrow Jamie D 
Published: April 2020

A one-page quick guide written by Lauren M. Diepenbrock and Jamie D. Burrow and published by the Entomology and Nematology Department presents the life cycle of the Diaprepes root weevil and provides several photos of the pest and the damage it causes to assist in identification.https://edis.ifas.ufl.edu/in1249
Pengaruh Persentase Massa Pasir Terhadap Tegangan Tekan (Compressive Stress) Pada Grass Block Lubang Lima Berbahan Sampah Plastik
Authors: Siregar Rolan 
Published: April 2020

Dampak tumpukan sampah plastik terhadap lingkungan menjadi masalah yang sangat besar di tengah masyarakat Indonesia seperti pencemaran air, aroma udara yang tidak sejuk, dan ekosistem yang terganggu. Pengolahan sampah plastik menjadi masalah yang serius di Indonesia. Penelitian ini akan menampilkan pengolahan sampah plastik yang sederhana tetapi memiliki manfaat yang sangat besar, yaitu pembuatan grass block berbahan sampah plastik. Grass block adalah paving block yang memiliki lubang untuk pertumbahan rumput yang sekaligus berfungsi untuk memudahkan penyerapan air hujan kedalam tanah. Adapun grass block yang dibuat adalah grass block lubang lima dengan bentuk yang sesuai standar SNI. Tujuan khusus penelitian ini adalah untuk mengetahui tegangan tekan grass block berbahan sampah plastik beserta tegangan tekan grass block berbahan campuran sampah plastik dengan pasir. Metode penelitian ini adalah dengan cara eksperimental. Tahapan pelaksanaan penelitian dibuat secara sistematis yang dimulai dari studi literatur, perancangan dan pembuatan mesin cetak grass block, dan diakhiri dengan pengujian tekan grass block. Hasil penelitian ini menunjukkan bahwa tegangan tekan grass block yang berbahan sampah plastik penuh adalah 18 MPa, dan tegangan tekan maksimum grass block berbahan campuran pasir dengan sampah plastik adalah 19,7 MPa di mana persentase pasir adalah 6,25 %. Jumlah pasir yang melebih 6,25 % memiliki tegangan tekan yang semakin rendah. Berdasarkan standar SNI tegangan tekan suatu paving block berada pada 9.8 s.d. 39.2 MPa. Maka hasil pengujian menunjukkan bahwa tegangan tekan grass block tersebut telah berada pada rentang standar SNI. Oleh karena itu teknologi pengembangan grass block ini memiliki peranan penting dalam mengurangi dampak buruk sampah plastik.
Ramifications of elevated temperature on the growth and yield performances of rice varieties incorporated with indigenous organic amendments
Authors: Islam MS , Khan HR , Hossain MS 
Published: April 2020

A field experiment was conducted at Chandipur of Keraniganj Upazilla in the district of Dhaka, Bangladesh to screen out the studied rice varieties of BR 3, BRRI dhan 28, Local BRRI dhan 29, and BRRI dhan 74 as influenced by the Rice Straw Compost – RSC, Mustard Meal – MM, and Trichocompost – TC (indigenous organic amendments), and elevated soil temperature of 3°C in relation to the growth and yield response of rice. The experiment was conducted using split plot design with elevated temperature in main plots and the different rates of organic amendments in subplots. The rates of organic amendments were 0. 4, 8 t ha-1 for RSC; 0, 3, 6 t ha-1 for MM; and 0, 2.5, 5 t ha-1 for TC. The soil temperature was raised by 3°C from the daily field temperature of 22-25°C. Grain and straw yields, 1000-grain weight, number of filled and fissured grains of rice were significantly (p≤0.05) enhanced with the increased rates of RSC, MM, and TC at elevated temperature of 3°C.The maximum grain (8.86 t ha-1) and straw (8.40 t ha-1) yields were recorded in the treatment RSC4HW26-28 and RSC8HW26-28, respectively in BRRI dhan 29 over control, which endorsed the lowest grain (3.42 t ha-1) and straw (2.68 t ha-1) yields. The RSC treatment was ranked first in order of the growth-yield and yield components (1000 – grain weight and No. of filled and fissured grain) of rice followed by MM and TC treatments. The aforesaid treatments were found to have significantly (p≤0.05) positive aftermath with the elevated soil temperature, regardless of rice varieties. Increased rice production by the elevated soil temperature might be due to the CO2 fertilization, which is a very important climatic issue at present day environment.
Bangladesh J. Sci. Ind. Res.55(1), 53-64, 2020
Impact of process parameters on refused derived fuel pellets
Authors: Iqbal MK , Nadeem A , Butt MT 
Published: April 2020

The objective of present study was to optimize the process conditions for the development of refused derived fuel (RDF) pellets from municipal solid waste (MSW) and biomass by using Response Surface Methodology (RSM). The three factors specifically moisture (20-45%), preheating temperature (50-120˚C) and pressure (500-1500 psi) were taken as center point. The experimental data of response variables were fitted into quadratic polynomial model using the multiple regression analysis and found it was statistically significant quadratic model and contour plot further revealed that moisture (20%), preheating temperature (120˚C) and hydraulic pressure (1000psi) were the best conditions. Moreover bulk density and durability of pellets increased due to temperature and pressure but decrease with moisture. The bulk density (BD) moisture durability (DU) size diameter carbon hydrogen sulpher chloride ash fixed carbon HHV (High heating value) LHV (Low heating value) and ash metal were also evaluated.
Bangladesh J. Sci. Ind. Res.55(1), 73-82, 2020