bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Preoperative Functional Status on Quality of Life after Cardiac Surgery
Authors: Joskowiak Dominik , Meusel Daniela , Kamla Christine , Hagl Christian , Juchem Gerd 
Published: September 2019

Abstract
Background With increasing importance, health-related quality of life (HRQoL) has become a crucial outcome measure of cardiac surgery. The aim of this study was to assess the dynamics of HRQoL change within 12 months after surgery and to identify predictors of deterioration in physical and mental health.
Methods The cohort of this prospective study included 164 consecutive patients who underwent elective surgery. HRQoL was assessed on the basis of the Short-Form 36 questionnaire at three different times: upon admission and at 3 and 12 months after surgery. The minimal clinically important difference (MCID) was used to determine whether the surgery resulted in deterioration of HRQoL.
Results In general, physical and mental health status improved within the first year after cardiac surgery. However, after 12 months, 7.9 and 21.2% of patients had clinically significant poorer physical (PCS) and mental component summary (MCS) scores, based on the MCID approach. The results of multivariate analysis identified preoperative health status, age < 70 years, coronary artery bypass grafting, and a previous neurological event as predictors of deterioration in postoperative HRQoL. The greatest risks for deterioration were higher preoperative PCS and MCS scores.
Conclusion Although we were able to demonstrate a general improvement in the HRQoL following cardiac surgery, in one-fifth of patients, there was no recovery of mental health status even after 1 year. As this effect is mainly determined by preoperative functional status, HRQoL should be an integral part of medical consultation, especially in younger patients with a positive perception of quality of life.
Influence of Variation in Sagittal Placement of the Femoral Component after Cruciate-Retaining Total Knee Arthroplasty
Authors: Koh Yong-Gon , Hong Hyoung-Taek , Lee Hwa-Yong , Kim Hyo-Jeong , Kang Kyoung-Tak 
Published: September 2019

AbstractProsthetic alignment is an important factor for long-term survival in cruciate-retaining (CR) total knee arthroplasty (TKA). The purpose of this study is to investigate the influence of sagittal placement of the femoral component on tibiofemoral (TF) kinematics and kinetics in CR-TKA. Five sagittal placements of femoral component models with −3, 0, 3, 5, and 7 degrees of flexion are developed. The TF joint kinematics, quadriceps force, patellofemoral contact force, and posterior cruciate ligament force are evaluated using the models under deep knee-bend loading. The kinematics of posterior TF translation is found to occur with the increase in femoral-component flexion. The quadriceps force and patellofemoral contact force decrease with the femoral-component flexion increase. In addition, extension of the femoral component increases with the increase in posterior cruciate ligament force. The flexed femoral component in CR-TKA provides a positive biomechanical effect compared with a neutral position. Slight flexion could be an effective alternative technique to enable positive biomechanical effects with TKA prostheses.
On the applicability of adiabatic approximation in multiphonon recombination theory
Authors: Huang Kun 
Published: September 2019

Abstract
A recent paper by C. H. Henry and D. V. Lang claims that the adiabatic approximation breaks down in the neighborhood of the intersection of the adiabatic potential curves for the two electronic states, between which multiphonon transitions occur. It is shown that their claim is not justified; what they consider to be the sign of failure of the adiabatic approximation is no more than an indication of the fact that owing to the uncertainty principle, there is a finite neighborhood around the above mentioned point of intersection, throughout which multi-phonon transitions can occur. Direct calculation of the multi-phonon transition probability on the basis of the adiabatic approximation gives in fact a result identical with the result obtained with their version of the theory. Further discussions contend that in more general situations Henry and Lang’s formulation of the theory will no longer be applicable and a proper adiabatic approximation treatment by first lifting the degeneracy at the intersection point will be necessary.
Some recent advances in ab initio calculations of nonradiative decay rates of point defects in semiconductors
Authors: Wang Linwang 
Published: September 2019

Abstract
In this short review, we discuss a few recent advances in calculating the nonradiative decay rates for point defects in semiconductors. We briefly review the debates and connections of using different formalisms to calculate the multi-phonon processes. We connect Dr. Huang’s formula with Marcus theory formula in the high temperature limit, and point out that Huang’s formula provide an analytical expression for the phonon induced electron coupling constant in the Marcus theory formula. We also discussed the validity of 1D formula in dealing with the electron transition processes, and practical ways to correct the anharmonic effects.
Maternal Antibody Susceptible Vaccinated Infected Recovered (MSVIR) Model for Tetanus Disease and Its Applications in Indonesia
Authors: Widyaningsih Purnami , Candrawati Primadita , Sutanto  , Retno Sari Saputro Dewi 
Published: September 2019

Abstract
Tetanus is caused by Clostridium tetani bacteria that infect open wounds. Tetanus infection can cause death if not treated promply. SIR models are constructed to explain the spread of infectious diseases. Tetanus is not an infectious disease, but SIR models still can be used. Infected persons can not transmit the disease through contact. Tetanus infection is affected by the environment and first aid when injured. Lack of environment and awareness in first aid will increase the case of tetanus. Prevention efforts are done by vaccination in children, women of childbearing age, and pregnant women as protection for mother and baby (maternal antibody). The purposes of this research are to formulate SIR model with vaccination and maternal antibody (MSVIR) for tetanus disease and to apply the model in Indonesia. The MSVIR model is a first order linear differential equation system with five dependent variables, there are M, S, V, I, and R, and an independent variable t (time). The parameter’s values were estimated based on data in 2009-2014. The accuracy of this model was measured based on data in 2015-2016 years. The relative error rates on 2015-2016 were -0.0567 and 0.0825. The model is considered good enough. Based on the predictions during 2011-2030, the incidence of tetanus will increase 6.62% by 1.2% average increase per year.
Students’ Analytical Thinking Profile Based on Reflective Cognitive Style in Solving Mathematics Problem
Authors: Qolfathiriyus A , Sujadi I , Indriati D 
Published: September 2019

AbstractThe objective of this study is to describe students’ analytical thinking profile based on reflective cognitive style in solving a mathematics problem, especially in two-dimension materials. This research is a qualitative descriptive study that elaborates the characteristics of analytical thinking including; pre-analytical, analytical-partial, semi-analytical, and complete analytics. Data collection is employed through task-based interviews and data validation is done by time triangulation. The participants of this study are two students at the eleventh grade of State Senior High School (SMAN) 1 Kedungwaru, Tulungagung. They are selected based on the results in answering matching familiar figures test. The results reveal that the subjects have partial analytical thinking characteristics in solving the problem.
Modelling of Hypertension Risk Factors Using Logistic Regression to Prevent Hypertension in Indonesia
Authors: Andriani Putri , Chamidah Nur 
Published: September 2019

Abstract
Hypertension called as the silent killer, is the number one non-infectious disease that causes death in the world every year. There are 185,857 cases recorded in 2018 in Indonesia. In this study, we model the hypertension risk by considering age, heart rate, hypertension history of family, eating salty foods, and smoking or exposure to cigarette smoke as the influence factors of hypertension risk. A cross-sectional survey was conducted in August 2018 at the Haji Hospital of Surabaya. Logistic regression is used to analyse the influence of various risk factors on hypertension and non-hypertension. In addition, we compare between logit and gompit link functions in logistic regression to build the modelling of hypertension risk factors based on the accuracy of the classification model. By using logit and gompit link functions, we obtain percentage of the classification accuracy are 85.2 % and 81.5 %, respectively. It means that the logit link function is better than the gompit link function for modelling hypertension risk factors. For these link functions, the significant factors that influence hypertension are age and heart rate.
On Edge Irregular Total k-labeling and Total Edge Irregularity Strength of Barbell Graphs
Authors: Aftiana Melli , Indriati Diari 
Published: September 2019

Abstract
Let G be a connected graph with a non empty vertex set V(G) and edge set E(G). An edge irregular total k-labeling of a graph G is a labeling λ : V(G) ⋃ E(G) → {1, 2, …, k}, so that every two different edges have different weights. The weight of edge uv of G is the sum of the labels vertices u and v and label of the edge uv, which is can be written as wt(uv) = λ (u) + λ (uv) + λ(v). The total edge irregularity strength of G, denoted by tes(G) is the minimum positive integer k for which the graph G has an edge irregular total k-labeling. Barbell graph Bn
is obtained by connecting two copies of a complete graph Kn
by a bridge. In this research, we determined the total edge irregularity strength of barbell graph Bn
for n ≥ 3.
Optimal control of a mathematical model for Japanese encephalitis transmission
Authors: Kharismawati Heni , Fatmawati  , Windarto  
Published: September 2019

Abstract
Japanese encephalitis (JE) is a vector-borne disease that causes encephalitis mostly children in Asia and livestock. A mathematical model can be used to predict JE spread in the future. In this paper, we analysed a mathematical model of JE transmission. We also applied several optimal control variables such as vaccination and treatment to the human population, insecticide to mosquito population, and vaccination to pig population. Based on the analysis results, we obtained two equilibriums, namely disease-free equilibrium and endemic equilibrium. The existence and stability of the equilibriums depended on R
0 (basic reproduction ratio). The disease-free equilibrium is locally asymptotically stable if R
0 < 1, while the endemic equilibrium is locally asymptotically stable if R
0 > 1. Furthermore, we determined the existence of the optimal control variables by Pontryagin Maximum Principle. Numerical simulation showed that the control strategies are effective to minimize the number of active JE in human, mosquito and pig population.
Modelling of Diarrheal Sufferers Percentage and Certified Drink Water Providers in East Java Using Bivariate Binomial Negative Regression Method
Authors: Rahmayanti N A P , Yonani Y S , Mardianto M F F 
Published: September 2019

Abstract
Diarrheal is a disease with the condition of faeces becoming soft or fluid. In general, diarrheal results from food and drinks exposed to viruses, bacteria or parasites. Diarrheal is one of the health problems of people in poor and developing countries. Diarrheal often occurs due to the lack of clean water that pass health requirements. The method used in this research is bivariate negative binomial regression which is a regression method to model a pair of response variables, each of which has a negative binomial distribution and correlates. This study uses 38 secondary data from the East Java Provincial Health Office in 2016 about the number of diarrheal sufferers and the number of certified drink water providers which pass health requirements. The results of this research, there are 4 factors that significantly influence the model of diarrheal sufferers and drink water providers who pass health requirements, that are the percentage of residents with access to proper sanitation, public places that pass health requirements, population literacy rates and food management places tested.
Indonesia’s Inflation Analysis Using Hybrid Fourier - Wavelet Multiscale Autoregressive Method
Authors: Suparti  , Santoso R , Prahutama A , Devi A R 
Published: September 2019

Abstract
Regression analysis is a statistical method to determine the relationship between predictor variables and response variables. Regression approach can be done with parametric and nonparametric approaches. The parametric approach is rigorous with assumptions and must fulfillthe assumptions to get a good model.Meanwhile, the nonparametric approach is not rigorous with assumptions because the method is based on an unknown curve shape approach. Nonparametric regression can be done with several approaches including Fourier and Wavelet methods. The Fourier method is a method based on cosine and sine series. It is very suitable for data that has repetitive or periodic patterns. The Fourier series modeling is less efficient because it requires many coefficients to obtain a good model and it is less able to handle data with sharp jumps. Recently, there has been a combination of two methods called hybrid methods that give better results. In this paper, Indonesia’s inflation data modelling is performed by using hybrid-wavelet. First, the data is modeled using Fourier with small K; then the error Fourier model is modeled by using multiscale waveletautoregressive. In this study, the value of Inflation in Indonesia was modeled from January 2007 to August 2017. The response variable was the inflation value, while the predictor variable was time. The Fourier method with K = 100 generated MSE of 0.846216 and R2 of 80.12%. The Fourier-Wavelet hybrid model with K = 1 generated MSE of 0.31 and R2 of 95%. So that in inflation modeling in Indonesia, the Fourier-Wavelet hybrid regression model generated a better model than the wavelet model with fewer parameters than the Fourier method.
Some properties on fuzzy chromatic number of union of fuzzy graphs through α-cut graphs coloring
Authors: Rosyida I , Widodo  , Indrati Ch R , Indriati D 
Published: September 2019

Abstract
We consider a fuzzy graph

G
˜

(
V
,

E
˜

)

with a crisp vertex set V and a fuzzy edge set

E
˜

. A fuzzy graph has some α-cut graphs for α ∈ [0, 1] which are crisp graphs. Coloring of a fuzzy graph could be transformed into classical coloring of the α-cut graphs. Let

G
˜

1

(

V
1

,

E
˜

1

)

and

G
˜

2

(

V
2

,

E
˜

2

)

be two fuzzy graphs with fuzzy chromatic numbers

χ
˜

1

(

G
˜

1

)
=
{
(
k
,

v

χ
¯

1

(
k
)
)
}

and

χ
˜

2

(

G
˜

2

)
=
{
(
k
,

v

χ
¯

2

(
k
)
)
}

, respectively. Let

G
˜

=

G
˜

1

∪

G
˜

2

be a union of

G
˜

1

and

G
˜

2

. By coloring of the α-cut graphs, we get the result that membership function of fuzzy chromatic number of the union

χ
˜

(

G
˜

)
=
{
(
k
,

v

χ
¯

(
k
)
)
}

satisfies a property

v

χ
¯

(
k
)
=
max
{

v

χ
¯

1

(
k
)
,

v

χ
¯

2

(
k
)
}

for k ∈ {1, 2, 3, …, |V
1 ⋃ V
2|}. Furthermore, we also verify the connection between the fuzzy chromatic number

χ
˜

(

G
˜

)

and

max
{

χ
˜

1

,

χ
˜

2

}

through a defuzzification dependent at a decision level.
Semiparametric approaches for modelling mortality with application to university employee data
Authors: Danardono  , Utami R S , Fitriani R , Zulaela  , Kartiko S H 
Published: September 2019

Abstract
Semiparametric approaches using Kernel, Splines and locally-weighted regression smoothing were used to model mortality pattern among the government university employee as alternative to the parametric approaches. The results from those three type of smoothing methods were compared. The final results of the estimates were also compared to the standard model of mortality pattern among the government employee in Indonesia, the TASPEN mortality table, and the population life table from the 2010 Indonesian population census.
Urban agriculture’s bounty: contributions to Phoenix’s sustainability goals
Authors: Uludere Aragon Nazli , Stuhlmacher Michelle , Smith Jordan P , Clinton Nicholas , Georgescu Matei 
Published: September 2019

Abstract
With over half of the world’s population living in cities, there is mounting evidence indicating that investments in urban sustainability can deliver high returns on socioeconomic and environmental fronts. Current scholarship on urban agriculture (UA) reports a wide range of benefits which have been shown to vary with the scale and type of benefit examined. Notably, most city-scale studies do not align benefits of UA with locally meaningful goals. We fill this gap by conducting a city-scale analysis for Phoenix, the fifth largest city in the USA by population, and evaluate these benefits based on their ability to contribute to select desired outcomes specified in Phoenix’s 2050 Sustainability Goals: the elimination of food deserts, provision of green open space, and energy and CO2 emissions savings from buildings. We consider three types of surfaces for UA deployment—undeveloped vacant lots, flat rooftops, and building façades—and find that the existing building stock provides 71% of available UA space in the study area. The estimated total food supply from UA is 183 000 tons per year, providing local produce in all existing food deserts of Phoenix, and meeting 90% of current annual consumption of fresh produce based on national per capita consumption patterns. UA would also add green open space and reduce by 60% the number of block groups underserved by public parks. Rooftop deployment of UA could reduce energy use in buildings and has the potential to displace more than 50 000 tons of CO2 per year. Our work highlights the importance of combining a data-driven framework with local information to address place-based sustainability goals and can be used as a template for city-scale evaluations of UA in alternate settings.
Factors affecting the amount of impurities when harvesting produced sugarcane with sugarcane harvester
Authors: Kosum K , Bun-art S 
Published: September 2019

Abstract
This study aimed to determine the amount of impurities adhering to sugarcane harvested from sugarcane harvesters. A factorial experimental design was used to study the effect of three factors: sugarcane type, planting and soil type. The experiments showed that the three factors affected the quantity of impurities adhering to the sugarcane. The following types of impurities can be classified as tops at 54%, trash at 32%, and root and soil at 14%. The variance analysis was done at a significant level of 0.05, and it was found that the sugarcane type and the planting technique had an influence on the amount of tops impurities in both terms of the main factors and co-factors. The type of sugarcane was the main factor affecting the amount of trash impurities in terms of main factors; planting and soil type had an influence on the amount of trash impurities in terms of the co-factors.
Study of field capacity and variables of UAV operation time during spraying hormone fertilizer in sugarcane field
Authors: Koondee Peace , Saengprachathanarug Khwantri , Posom Jetsada , Watyotha Cumnueng , Wongphati Mahisorn 
Published: September 2019

Abstract
Spraying fertilizer to improve sugar content using Unmanned Aerial Vehicle (UAV) is receiving lot of interest by farmers since the field conditions are almost inaccessible by ground at the appropriate period of application. However, operators have to decide based on theirs experiences to choose the applicable and profitable field for UAV sprayer as the operation time and cost. This study aims to investigate UAV field capacity and time consumed by all steps during operation. The spraying experiments were conducted in fields located in Chaiyaphom and Khon Kaen province with the area of 0.16-0.64 ha/field. The field capacities were evaluated and time consuming activities of flight planning, fertilizer filling, active and passive working were studied. The results showed the average field capacity is 3.36 ha/hr. Most of time consumption was for flight planning step, followed by fertilizer filling, and passive working such as take-off time, landing time and turning time. Time consumed in flight planning was caused by the attempt to avoid the trees around field. However, it takes a long time only for first flight and then previously generated flight plan can be re-used for next flight. Moreover, non-rectangular shape and small size of fields affected passive working time directly.
Use of dual fuel between B10 and increasing syngas on the performance and emissions of a diesel-engine generator
Authors: Sutheerasak E , Pirompugd W , Sanitjai S 
Published: September 2019

Abstract
The research is to study the use of diesel mixed to 10%biodiesel (B10) combined to increasing syngas from 76 to 125 lpm in dual fuel mode with a diesel-engine generator. In engine test, the speed was adjusted from 1,000 to 1,600 rpm. Syngas was produced from a downdraft gasifier, as the charcoal was used to the primary fuel. Results indicate that the use of B10 and increasing syngas on dual fuel gave higher engine performance than using B10, but the emissions were enormously increased with increasing syngas. However, the use of B10 and syngas at 125 lpm increased the fuel saving to 30.77% and 27.20%, and the electrical efficiency added to 13.90% and 10.59% as compared with B10 and diesel respectively. Dual fuel between B10 and syngas at 125 lpm can apply to the diesel-engine generator in the future.
Application of plackett-burman design on screening the factors affecting torrefaction of palm kernel shell
Authors: Mueanmas C , Indum P 
Published: September 2019

Abstract
Plackett - Burman design (PBD) is used for screening important factors. In a PBD, the experiments are generated at various combinations of low and high values of the process variables and analyzed for their effect on the process. The purpose of this investigation was to study the statistical analysis for screening the factors affecting torrefaction of palm kernel shell (PKS). PBD was applied for screening effect of temperature, time, oxygen content, heating rate and biomass size to calorific value of torrefied PKS. The significant parameters were selected based on the analysis of variance (ANOVA) results. The results shown that the temperature and oxygen content were significant factors for the torrefaction of PKS which the respectability of received model was proved with high correlation coefficient. The result of 3D surface plots was shown that the temperature was the highest effect compared to other factors which calorific value were increased when the temperature increases. The diagnostic plots were examined for the model decency which the obtained linear model was quite good for prediction of calorific value of torrefied PKS. It was summarized that the predicted values by statistical model were close to experimental values.