bluuebunny/crossref_metadata_2025_split huggingface dataset:
Naïve Bayes Classifier Models for Predicting the Colon Cancer
Authors: Salmi Nafizatus , Rustam Zuherman 
Published: June 2019

Abstract
Cancer has been known as a disease consisting of several different types. Cancer is a life threatening disease in the world today. There are so many types of cancer in the world, one of which is colon cancer. Colon cancer is one of the number one killers in the world. However, because there isn’t any obvious symptom of colon cancer at an early stage, people do not realize that they suffer from it. Even though cancer formation is different for each type of cancer, it is still a big challenge to make cancer classification with good accuracy. Many machine learning has been applied to the data of human’s genes in order to get the most relevant genes in the classification of cancer. The author proposes the Naïve Bayes Classifier model as a classification method to show that the model has good accuracy, good precision, good recall, good f
1 — score in classifying the data of patients suffering from colon cancer or not. In this proposed model, Naïve Bayes Classifier is a technique prediction based on simple probabilistic and on the application of the Bayes theorem (or Bayes rule) with a strong independence assumption. Therefore, this model is able to make higher classification accuracy with less complexity. In particular, it achieves up to 95.24% classification accuracy, thus this model can be an efficient analysis tool.
Forecasting the Amount of Pneumonia Patients in Jakarta with Weighted High Order Fuzzy Time Series
Authors: Tricahya Sebastian , Rustam Zuherman 
Published: June 2019

Abstract
Forecasting the amount of Pneumonia patients could help medical practitioners to prepare the required medicines, aid-workers, or even prevent it by sharing knowledge to parents, elders, and smokers. This problem poses great concerns on the lives of many people, therefore, adequate accuracy is required in forecasting. Fuzzy Time Series (FTS) is an alternative way to forecast data. By using ARIMA and Holt’s Exponential Smoothing, there are some problems that are difficult to obtain the best model. Using our FTS method, we modified the Cheng algorithm by using higher order (using two or more historical data) to make the accuracy better by seeing the Mean Absolute Percentage Error (MAPE). Data was selected from the amount of Pneumonia Patients in Jakarta from 2008 to 2018. We use R to carryout ARIMA and Holt’s Exponential Smoothing. Forecasting’s accuracy will decrease if the timeframe between these occurrences is lengthy. As a result of this, we made use of 5 periods which are January until May 2019. The result obtained was compared against ARIMA and Holt’s Exponential Smoothing, as well as the MAPE are 9.70%, 16.85%, and 18.55% respectively.
A Mathematical Model of Social Media Popularity with Standard Incidence Rate
Authors: Windarto  , Purwati Utami Dyah , Amalia Nadiyah 
Published: June 2019

Abstract
Facebook, Instagram, Twitter are some popular social media. DeLegge and Wangler (2017) have developed a Susceptible-Infectious-Removed type mathematical model to describe social media popularity. The DeLegge and Wangler model was a bilinear incidence rate model. In this paper, we improve the DeLegge and Wangler model by considering standard incidence rate. The presented model takes the form of an ordinary differential equation system that describes dynamic of susceptible (population of who are not social media users), infectious population (population of social networks users) and removed population (population of who leave social media). The presented model has three equilibria namely the “no social media users” equilibrium, “very popular social media” equilibrium and “popular social media” equilibrium. We find that the three equilibria are conditionally asymptotically stable. We also perform some numerical simulations to verify the analytical results.
Modeling and Simulation of Top and Bottom Lid Driven Cavity using Lattice Boltzmann Method
Authors: Yuana K A , Budiana E P , Deendarlianto  , Indarto  
Published: June 2019

Abstract
Simulation of computational fluid dynamic (CFD) in isothermal fluid flow is very important in engineering and modeling problem. The simulation can explain the closed-flow behavior as complement with experimental field. Lid Driven Cavity as the tool for CFD benchmark is important to investigate. Lattice Boltzmann Method (LBM) as non-conventional CFD is used as present method investigation. The keys parameters of lid driven cavity problem are Reynolds number and the parts of moving boundaries that driven the cavity. In the present investigation was used the variations of Reynolds numbers: 500, 1000 and 2000. The lid that driven the cavity are top and bottom part. The results presented in visual flow pattern and in two dimensional velocity plot.
Identification on Osteopontin Promoter Gene Polymorphism and Post-thawing Quality in Dairy Bull Peranakan Friesian Holstein
Authors: Hernawati Tatik , Mulyati Sri , Rimayanti  , Suprayogi Tri Wahyu 
Published: June 2019

Abstract
This study aims to determine the existence of osteopontin promoter gene polymorphism in dairy bull Peranakan Holstein Friesian (PFH) and its relationship with the quality of PFH bull frozen semen. A total of 10 Holstein Friesian dairy cow blood samples were taken and then DNA extracted and amplified using SPP1F and SPP1R primers. The target band 306bp was detected in all samples and continued by sequencing to analyze the nucleotide bases. The results showed that sample with low quality frozen semen were deleted in the 10098 base and a transition (T-C) in bases 10054. The results indicated that this mutation site could be related to the trait susceptibility to frozen semen quality. Comprehensive studies are highly needed to address other parameters related to any abnormality in sperm during cryopreservation.
The effect of various substrate on production of cellobiose dehydrogenase enzyme by Trametes versicolor
Authors: Mahbubillah M A , Nurhayati Awik P D , Prasetyo E N 
Published: June 2019

Abstract
Cellobiose dehydrogenase is an extracellular flavocytochrome which uses various oligosaccharide substrates as electron donors to reduce phenoxy radicals, radical or quinone compound. The flexible electrons transfer properties from CDH are currently exploited for many biomedical applications including wound dressing hydrogel. CDH could be isolated and characterized from variety of white rot fungi, soft rot fungi, and brown rot fungi. Some studies of CDH production carried out by Trametes versicolor white rot fungi. In order to support the research about wound dressing hydrogel, the optimization of CDH production could be performed. Several substrates have been used in production culture of CDH from T. versicolor including cellulose. Optimization of CDH enzyme production using several substrates shows that the use of toilet paper substrate is the best substrate in the production culture of cellobiose dehydrogenase (CDH) enzyme by Trametes versicolor.
Identification of microRNAs targeting NAT1 and NAT2 gene transcripts in prostate cancer patients observed in different races
Authors: Arifin N M Zainul , Agustriawan David , Parikesit Arli Aditya , Nurdiansyah Rizky , Ramanto Kevin Nathanael 
Published: June 2019

Abstract
Prostate cancer has the second highest death rate second only to lung cancer. Mutation in a single gene does not cause prostate cancer. Instead, many different genes are responsible, including NAT1 and NAT2 gene. By finding microRNAs that can suppress NAT1 and NAT2 gene, a novel prostate cancer treatment can be developed. Prostate cancer is also more commonly found in African-American than White-American. Therefore, this in silico study aimed to find several microRNAs targeting NAT1 and NAT2 gene observed in black, white, and other racial groups. 100 white patients, 100 races not reported patients, 11 black patients, and 638 combined races patient’s expression data were collected with TCGA-Assembler in R from The Cancer Genomic Atlas (TCGA). Next, Spearman correlation analysis was performed in R to find microRNAs that are negatively correlated with NAT1 and NAT2 gene. MicroRNAs were validated with miRTarBase and RNAhybrid. Only microRNAs which are located in combined patients and found in at least another race group is considered, i.e., hsa-mir-103a-1, hsa-mir-183, hsa-mir-32, and hsa-mir-96. Race-specific microRNA cannot be determined due to small sample size in black race group. Further study is needed to confirm the interaction between listed microRNAs with NAT1 and NAT2 gene expressions.
Basil Leaves (Ocimum sanctum linn.) Extract Decreases Total Cholesterol Levels in Hypercholesterolemia Sprague Dawley Rats Model
Authors: Rachmawati Nisya Ayu , Wasita Brian , Kartikasari Lilik Retna 
Published: June 2019

Abstract
Hypercholesterolemia is closely related to the severity of atherosclerosis which is one of the factors in the occurrence of cardiovascular and cardiovascular diseases. Cardiovascular disease is one third of all cases of death worldwide including in Indonesia. The death rate caused by cardiovascular disease is expected to continue to increase until 2030. One of the natural foods that has the potential to reduce cholesterol is the basil leaf (Ocimum sanctum linn.). The content of polyphenol compounds such as flavonoids and tannins in basil leaves can reduce total cholesterol levels and inhibit fat oxidation which is the cause of atherosclerosis. This study aims to analyse the effect of the basil leaves extract on cholesterol levels in Hypercholesterolemia Sprague Dawley rats. Thirty six Sprague Dawley rats aged 8 weeks, weighing 150-200 g, were divided into 6 groups, namely P1) Normal rats, not treated (negative control), P2) Rats induced with High Fat Diet (HFD) without treatment, P3) Rats induced with HFD and intervened using statin medication of 0.18 mg/kgBW (positive control), P4) Rats induced with HFD with the basil leaves extract dose of 20 mg/kgBW/day, P5) Mice induced with HFD with the basil leaves extract dose of 40 mg/kgBW/day, P6) Rats induced with HFD with the basil leaves extract dose of 80 mg/kgBW/day. The treatment lasted for 7 days. Collected data were analized using the one way ANOVA test and LSD post hoc test. The data showed that the basil leaf extract at a dose of 20 mg/kgBW/day, 40 mg/kgBW/day, and 80 mg/kgBW/day can reduce cholesterol levels significantly (P<0.005). The effect of reducing cholesterol levels depends on the dose of the basil leaves extract (dose dependent), with that the highest dose has the same effect as the positive control group (KP). In conclusion, Basil leaf extract with a dose of 20 mg/kgBW/day, 40 mg/kgBW/day and 80 mg/kgBW/day for 7 days can reduce cholesterol levels.
Effect of Extraction Technique on Antioxidant Capacity, Vitamin C, Total Phenol, and Total Flavonoid of Bouea macrophylla Griff Leaf
Authors: Wardani Wahyu Vera , Hardinsyah  , Palupi Eny , Aries Muhammad 
Published: June 2019

Abstract

Bouea macrophylla Griff also known as gandaria is a local heritage plant of West Java. Aside from being a salad, gandaria leaves are also used as herbal remedies. Some parts of the gandaria tree contain bioactive compound that has health benefits. However, the research related to leaves is rare, especially about extraction techniques to obtain optimal bioactive content. The common preservation technique is drying process to make herbs storage time longer. Conventional drying techniques often reduce the ability and bioactive compound. This study compared antioxidant capacity, vitamin C, total phenolic, and total flavonoid on fresh leaves (FL), sundried leaf (SDL), roomdried leaf (RDL), and vacuum evaporator leaf extract (VELE) of gandaria. This study used spectrophotometry to analyze DPPH inhibition (antioxidant activity), total phenolic, total flavonoids, and titration methods to analyze vitamin C with 3 replicates. One-way ANOVA statistical test showed significant differences between 4 groups for antioxidant capacity (p=0.004), vitamin C (p=0.000), total phenol (p=0.000), and total flavonoid (p=0.031). The best IC50 DPPH start from VELE 0.026±0.002 mg/mL, RDL 0.037±0.009 mg/mL, SDL 0.089±0.022 mg/mL, and FL 0.169±0.067 mg/mL. The highest vitamin C content per g extract start from FL 148.257±0.000 mg, RDL 148.121±0.235 mg, SDL 147.715±0.2346 mg, and VELE 145.819±0.813 mg. The highest total phenolic content per g extract start from VELE 117.836±1.831 mg GAE, RDL 45.772±0.618 mg GAE, SDL 31.711±1.707 mg GAE, and FL 18.289±2.360 mg GAE. The highest total flavonoid per g extract start from VELE 251.111±78.339 mg QE, RDL 131.111±89.106 mg QE, SDL 109.444±46.017 mg QE, and FL 53.889±20.839 mg QE. Further research about VELE of gandaria product development is very needed to make product that support health improvement.
Synthesis and Characterization of Fe-Co/meso-HZSM-5: Effect of Impregnated Ratio of Iron and Cobalt
Authors: Jimmy  , Ihsanti D H , Roesyadi Achmad , Suprapto  , Kurniawansyah Firman 
Published: June 2019

Abstract
The combination of bimetallic Fe-Co (as polymerization catalyst) and HZSM-5 (as cracking catalyst) could convert synthesis gas to biofuel in one-step Fischer-Tropsch synthesis. Mesoporous HZSM-5 gave better conversion, because it increased reactants and products diffusivity. The effect of impregnated ratio of iron and cobalt on characterization of Fe-Co/meso-HZSM-5 catalyst had been studied. HZSM-5 was made from ammonium ZSM-5 through calcination process, then it was desilicated with NaOH and impregnated with 10% metal loading and 0-100% Fe content in Fe-Co (%w). The material results were reduced continuously by hydrogen at 400° for 10 hours. Treatment of HZSM-5 in various ratio of iron and cobalt leads to mesoporosity development. The iron and cobalt impregnation decreased the total surface area from 350.859 m2/g (on HZSM-5) to 231.852-329.606 m2/g (on Fe-Co/HZSM-5). Increasing cobalt content in Fe-Co impregnation on HZSM-5 decreased total surface area and increased average pore diameter. Impregnation process lowered the crystallinity but still maintained the material crystal structure. The catalyst reduction produced Fe, Co, alloy Fe-Co and less oxides of Fe2O3 and Co3O4. The largest alloy Fe-Co could be found in 30Fe-70Co/HZSM-5. Iron and cobalt impregnation occupied the active sites formed from alcohol groups function that was indicated with decreasing alcohol groups area in FTIR spectra.
Reservoir Characterization Sandstone Reservoir Based on Wireline Log
Authors: Usman Mochammad B I , Haris Abdul 
Published: June 2019

Abstract
The hydrocarbon exploration in the sandstone reservoir is still the main interest in Indonesia, in addition to the carbonate reservoir, as the main hydrocarbon reservoirs. To understand the sandstone reservoir characters, this research was conducted to understand the sandstone reservoir behaviour using petrophysics calculation. The characterization of reservoir was conducted by integrating the subsurface data, including ditch cuttings and wireline log. The petrophysics character is used to interpret the geological conditions in the subsurface. The petrophysical analyses used in this research was gained from one well, by calculating the volume of shale (Vshale), porosity, permeabillity and water saturation. The petrophysics calculation of the reservoir indicate the following parameters: Vshale of 0.51-0.091%, Porosity PHIT of 0.17 - 0.2%, PHIE of 0.12 - 0.19%, Permeability of 10.1 - 249.8 mD, saturation water of 0.24 - 0.221%
Application of Polarization Method (IP) to Delineate the Gold Mineralization Zones in Cihonje Areas, Banyumas Regency, Province of Central Java
Authors: Yatini Y , Suyanto Imam , Puspaningrum Dwi 
Published: June 2019

Abstract
The main problem in metal mineral exploration is determining the deposits at subsurface. This deposit is associated with the surrounding rocks so it is not easy to distinguish. One of the Geophysical methods that can be used for that is the Induced Polarization (IP) method. This method produces two parameters i.e resistivity and chargeability, which very well distinguishes the metal mineral content in rocks. This study, in which the IP method was implemented, was carried out in the Cihonje area, Gumelar Subdistrict, Banyumas Regency, Central Java Province. It aimed to find out the distribution of the gold mineralization zone. The IP data with a total of nine lines were obtained through Junior Syscal 458, using Dipole-dipole configuration, with n=1 to 6 and 20 meters of electrodes spacing. The distribution of gold mineralization areas estimated using by Res2DInv and RockWork15 modeling. An attempt in combining the resistivity and chargeability values was done to identify the anomalous zone boundaries. The results showed that Cihonje area could be grouped into four zones, i.e saturated water layer, alteration, gold mineralization and non-alterated volcanic rock zone. The resistivity and chargeability values are (0–100) Ωm and (0–10) ms, (0–100) Ωm and > 10 ms, > 100 Ωm and > 10 ms, > 100 Ωm and (0–10) ms respectively. The gold mineralization zone is spread into two areas, i.e the western and the eastern area which is separated by the Left Paningkaban Shear Fault.
Reservoir Characterization using Simultaneous Inversion for Identifying the Sandstone Reservoir of Air Benakat Formation “IDY” Field in South Sumatra Basin
Authors: Yuliandari I D , Juwono A M , Sabbeq Said 
Published: June 2019

Abstract

Abstract. This research was conducted using simultaneous inversion seismic method. The inversion method can be used not only to identify reservoirs, but to identify the fluid content in a rock formation. Formation in this study is Air Benakat Formation, in the South Sumatra Basin. Simultaneous inversion has the results in the form of P-impedance, S-impedance, density, P-wave velocity, S-wave velocity, and νp
/νs
. From the data that have been obtained, that IDY-1 well is considered as a gas saturated sandstone reservoir. Fluid Replacement Modeling (FRM) was also used, in this study, to obtain the detailed information about the presence of gas in the Air Benakat Formation. FRM can simulate the state of the formation if it were in an in situ case condition, and in the gas case condition. From the results of FRM processing, that is for the gas case condition of 90%, it was obtained the νp
/νs
value of 1.75 to 1.875. While, in the in situ case condition, the ratio was obtained to be 2.0 to 2.2. Based on simultaneous inversion results, the research area is known to have a P-impedance value of 5800 to 6000 (m / s) * (g / cc), an S-impedance of 2000 to 4000 (m / s) * (g / cc), the density of 2.2 to 2.27 g/g/cm3 and the νp
/νs
ratio of 2.17 to 2.25. To identify the distribution of sandstone reservoirs, a horizontal cross-section map was made, which produced results of the cross section of low impedance and low νp
/νs
value. This shows that the IDY-1 well is a well-saturated sandstone reservoir.
Generating Calligraphy Works Based on DiscoGAN
Authors: Zhao Yuqing , Fu Guangyuan 
Published: June 2019

AbstractCopying the works of a good calligrapher is a necessary step for many beginners. However, due to the large number of Chinese characters, it is a challenge to automatically generate Chinese characters in the style of calligraphers. With the development of deep learning, the recognition of Chinese characters, style migration and other research have achieved remarkable results. However, there are few studies on the generation of calligraphy works, especially on the lack of paired training data. In this work, we propose a method for generating calligraphy works. This method is generally applicable to the generation of calligraphy works of various styles. And the validity of our method is verified by experiments on data sets.
Research on Heat Sissipation System Based on High Power LED-UV Curing Equipment
Authors: Haichao Li , Jinyao Li , Jingxiang Xu , Mingming Zhang , Jifei Cai , Guishan Zhang 
Published: June 2019

Abstract
LED-UV printing curing system is a new green printing curing technology for curing UV ink. Compared with the traditional UV curing device UV-LED curing device, the light source can be stabilized and ready to use without preheating, and the energy consumption is lower. It does not produce ozone and voc, and it is a green curing method. However, since a part of the energy of the LED chip is lost in the form of heat, the temperature of the PN junction is increased to lower the service life and light decay. The heat sink model was established by Solid Works and simulated analysis was performed using Fluent. A heat dissipation system for high-power LED-UV curing device was designed based on the simulation results.
Research Progress on Water-based Ink Drying Technology
Authors: Jingxiang Xu , Jinyao Li , Haichao Li , Mingming Zhang , Jifei Cai 
Published: June 2019

AbstractWater-based ink is an environmentally friendly ink that does not contain volatile organic compounds. It conforms to the development tenet of modern society and it doesn’t produce solvent volatilization and solvent residue. Therefore, it has great application prospects in the field of packaging printing where relatively strict sanitary conditions are required, however, due to slow drying speed, high energy consumption, low adhesion, etc., there are still insufficient development and application in the market. There are still some shortcomings in development and application. By searching domestic and foreign materials and literature, this paper studied various drying methods of water-based inks, and analyzed the drying efficiency of water-based inks under various drying technologies. The drying efficiency of the aqueous ink is compared under different drying techniques, and the drying methods include hot air drying, infrared drying, microwave drying, and auxiliary drying, By comparing the advantages and disadvantages of different drying methods, it provides a new idea for the efficient and energy-saving of dry water-based inks.
The impact of frailty on healthcare resource use: a longitudinal analysis using the Clinical Practice Research Datalink in England
Authors: Han Lu , Clegg Andrew , Doran Tim , Fraser Lorna 
Published: June 2019

Abstract

Background
routine frailty identification and management is national policy in England, but there remains a lack of evidence on the impact of frailty on healthcare resource use. We evaluated the impact of frailty on the use and costs of general practice and hospital care.

Methods
retrospective longitudinal analysis using linked routine primary care records for 95,863 patients aged 65–95 years registered with 125 UK general practices between 2003 and 2014. Baseline frailty was measured using the electronic Frailty Index (eFI) and classified in four categories (non, mild, moderate, severe). Negative binomial regressions and ordinary least squares regressions with multilevel mixed effects were applied on the use and costs of general practice and hospital care.

Results
compared with non-frail status, annual general practitioner consultation incidence rate ratios (IRRs) were 1.24 (95% CI: 1.21–1.27) for mild, 1.41 (95% CI: 1.35–1.47) for moderate, and 1.52 (95% CI: 1.42–1.62) for severe frailty. For emergency hospital admissions, the respective IRRs were 1.64 (95% CI 1.60–1.68), 2.45 (95% CI 2.37–2.53) and 3.16 (95% CI: 3.00–3.33). Compared with non-frail people the IRR for inpatient days was 7.26 (95% CI 6.61–7.97) for severe frailty. Using 2013/14 reference costs, extra annual cost to the healthcare system per person was £561.05 for mild, £1,208.60 for moderate and £2,108.20 for severe frailty. This equates to a total additional cost of £5.8 billion per year across the UK.

Conclusions
increasing frailty is associated with substantial increases in healthcare costs, driven by increased hospital admissions, longer inpatient stay, and increased general practice consultations.