bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization of an x-ray source with a partitioned diamond-tungsten target for electronic brachytherapy with 3D beam directionality
Authors: Badali Daniel S , Plateau Guillaume R , Ellenor Christopher W , Ku Chwen-Yuan , Vatahov Petre , Esterline Jane , Wilfley Brian P , Mitchell Christopher R , Fishman Kalman , Funk Tobias 
Published: October 2019

Abstract
The Sculptura™ is a new high-dose-rate electronic brachytherapy system developed by Sensus Healthcare. By combining a steerable electron beam with a partitioned diamond-tungsten x-ray target, the x-ray source of the Sculptura™ is capable of producing highly anisotropic dose distributions, thus achieving true 3D beam directionality. This article reports the spectral and dosimetric characterization of the Sculptura™ x-ray source through a combination of measurements and Monte Carlo simulations for operating points between 50–100 kV. Excellent agreement (~5% discrepancy) between the simulations and measurements was obtained for in-air dose rate characterization. The validated simulations were then used to calculate the dose distribution in water. Dose rates of  >2 cGy/min/μA can be produced at 100 kV, thus delivering 10 Gy in 1 min for typical operating conditions. The dose distributions are sharply peaked, with a full-width at half-maximum azimuth of about 100°.
Imputation of partial pressures of arterial oxygen using oximetry and its impact on sepsis diagnosis
Authors: Gadrey Shrirang M , Lau Chelsea E , Clay Russ , Rhodes Garret T , Lake Douglas E , Moore Christopher C , Voss John D , Moorman J Randall 
Published: October 2019

Abstract

Objective: The ratio of the partial pressure of arterial oxygen to fraction of inspired oxygen is a key component of the sequential organ failure assessment score that operationally defines sepsis. But, it is calculated infrequently due to the need for the acquisition of an arterial blood gas. So, we sought to find an optimal imputation strategy for the estimation of sepsis-defining hypoxemic respiratory failure using oximetry instead of an arterial blood gas. Approach: We retrospectively studied a sample of non-intubated acute-care patients with oxygen saturation recorded  ⩽10 min before arterial blood sampling (N  =  492 from 2013–2017). We imputed ratios of the partial pressure of arterial oxygen to the fraction of inspired oxygen and sepsis criteria from existing imputation equations (Hill, Severinghaus–Ellis, Rice, and Pandharipande) and compared them with the ratios and sepsis criteria measured from arterial blood gases. We devised a modified model-based equation to eliminate the bias of the results. Main results: Hypoxemia severity estimates from the Severinghaus–Ellis equation were more accurate than those from other existing equations, but showed significant proportional bias towards under-estimation of hypoxemia severity, especially at oxygen saturations  >96%. Our modified equation eliminated bias and surpassed others on all imputation quality metrics. Significance: Our modified imputation equation,

is the first one that is free of bias at all oxygen saturations. It resulted in ratios of partial pressure of arterial oxygen to fraction of inspired oxygen and sepsis respiratory criteria closest to those obtained by arterial blood gas testing and is the optimal imputation strategy for non-intubated acute-care patients.
Design and in-field testing of the world’s first ReBCO rotor for a 3.6 MW wind generator
Authors: Bergen Anne , Andersen Rasmus , Bauer Markus , Boy Hermann , Brake Marcel ter , Brutsaert Patrick , Bührer Carsten , Dhallé Marc , Hansen Jesper , ten Kate Herman , Kellers Jürgen , Krause Jens , Krooshoop Erik , Kruse Christian , Kylling Hans , Pilas Martin , Pütz Hendrik , Rebsdorf Anders , Reckhard Michael , Seitz Eric , Springer Helmut , Song Xiaowei , Tzabar Nir , Wessel Sander , Wiezoreck Jan , Winkler Tiemo , Yagotyntsev Konstantin 
Published: October 2019

Abstract
The main aim of the EU H2020 project EcoSwing was to demonstrate a technical readiness level of 6–7 for high-temperature superconducting (HTS) technology operating in a wind generator. To reach this goal, a full-scale synchronous HTS generator was successfully designed, built and field-tested in a 3.6 MW turbine. The generator has a rotor with 40 superconducting coils of 1.4 m long. The required >20 km of coated conductor was produced within the project’s time schedule. All coils were tested prior to assembly, with >90% of them behaving as expected. The technical readiness level of HTS coils was thus increased to level 7. Simultaneously, the maturing of cryogenic cooling technology over the last decade was illustrated by the several Gifford-McMahon cold-heads that were installed on-board the rotor and connected with the stationary compressors through a rotating coupling. The cryogenic system outperformed design expectations, enabling stable coil temperatures far below the design temperature of 30 K after only 14 d of cool-down. After ground-based testing at the IWES facility in Bremerhaven, Germany, the generator was installed on an existing turbine in Thyborøn, Denmark. Here, the generator reached the target power range and produced power for over 650 h of grid operation.
Comparison of Five Different Lactation Curve Models to Estimate Milk Yield of Friesian Holstein Cows at BBPTU HPT Baturraden
Authors: Nanda E D , Salman L B , Indrijani H , Tasripin D S , Anang A 
Published: October 2019

Abstract
The objective of this study was to compare the accuracy of five different lactation curve models to estimate 305 days milk yields in Friesian Holstein (FH) dairy cow at BBPTU HPT Baturraden. Appropriate lactation curve could provide useful information for genetic breeding programs, herd nutritional management, decision taking on the culling cows and milk production simulation systems. The analysis was carried out on a total of 8.167 milk yield records based on test day (TD) from first to fourth lactation from 2014 to 2017. The models compared were Wood, Yadav, Ali-Schaeffer, Wilmink, and Guo and Swalve models. The results showed that the Ali-Schaeffer’s model was the best model to predict milk production. It is known from the coefficient of determination at first, second, third, and fourth lactation respectively were 0.99156, 0.99074, 0.98985, 0.96706, correlation between predicted and observed values (r) were 0.99577, 0.99536, 0.99491, 0.98339, and Se were 0.30, 0.37, 0.38, 0.63.
The Ability of Phosphorhizobacteria Isolates to Produce Organic Acid and Promote Phosphatase Activity to Increase The Growth of Maize (Zea mays L.) in Selected Medium
Authors: Khumairah F H , Nurbaity A , Setiawati M R , Fitriatin B N , Simarmata T 
Published: October 2019

AbstractUtilization of phosphorhizobacteria has the potential to increase the growth of maize by producing organic acid and promoting its phosphatase activity. The research to investigate the capability of phosphorhizobacteria isolates to produce organic acids to convert organic P into inorganic P so that P is available and can increase the nutrient uptake by plants. The experiment was conducted at the Soil Biology Laboratory in Department of Soil Science, Faculty of Agriculture, Universitas Padjadjaran. It was arranged as complete randomized factorial design, consisted of 16 treatments (combination of singular and consortia of phosphorhizobacteria isolates: J1M, J3T and J5H and two concentrations) with 3 replications. The suspension of phosphorhizobacteria isolates were inoculated into media Murphy then planted the maize seedlings into it. The produced organic acid, phosphatase enzyme and seedling growth were measured at 14 days after planting. Results showed that phosphorhizobacteria isolates has the ability to produce oxalic acid, tartaric acid, acetic acid, lactic acid and maleic acid along with maize seedlings. The interaction of consortia phosphorhizobacteria isolates (J1M+J3T) capable to increase maize biomass 21.87% higher than control and P uptake by 3.13 mg/100 g. The J5H isolate can significantly promote the highest phosphate solubilizing index and phosphatase activity
Coal Utilization as a Growth Medium of Microbial Consortium from Dairy Cow Feces
Authors: Harlia E , Marlina E T , Hidayati Y A , Kurnani T B A , Rahmah K N , Joni I M , Ridwan R 
Published: October 2019

Abstract
Many uneconomical coal mining areas which have low calorific value can be found in Kalimantan, Indonesia. In those areas, coalbed methane (CBM) mainly methane (CH4) is formed, trapped and accumulated in the pores or cleats during the lifetime coal formation. This condition can potentially be utilized as an alternative energy source. Adding a source of methanogenic bacteria and organic matter is an option to maximize methane in CBM. High carbon content causes young coal to become a source of nutrients for methane-forming microorganisms. Methanogen type microorganisms play an important role in the manufacture of CBM and they can only work on anaerobic conditions. The purpose of this research is to know the relationship between coal characteristic and coal function as microbial growth media to gas formation which can be utilized as environmentally friendly alternative energy. The research used explorative method with descriptive analysis. The research parameters were three coal characteristics, methane production, and Volatile Fatty Acids. The results indicated that coal characteristics support symbiosis and microbial growth with total bacterial counted > 1010 CFU/ml, while the amount of acetic acid larger than butyric acid and propionic acid which support sustainable methane gas formation.
Antifungal Activity of Methanol-Extracted Secondary Metabolites of Rhizobacteria Isolated from Rhizosphere of Oil Palm Trees Against Ganoderma Boninense Pat.
Authors: Widiantini F , Yulia E , Nasahi C 
Published: October 2019

Abstract
Several rhizobacteria were isolated from the rhizosphere of healthy oil palm trees showed prospective ability as biocontrol agent against pathogenic fungi Ganoderma boninense Pat. The fungus is the causal agent of basal stem rot (BSR) disease can cause yield reduction up to 80%. Therefore, searching for effective compound to control the disease is a continuous process. Rhizosphere bacteria isolates were grown on ISP2 agar media and incubated for 14 days at room temperature. The media with fully grown cultures were cut into cubes and added with methanol. It was shaken and the bacterial cells were then removed through centrifugation and series of filtration. The final filtration was conducted using 0.2 µm to sterilize the filtrate. The filtrates were subjected for antifungal activity against G. boninense using agar well diffusion. The result showed that the crude metabolites produced by the rhizosphere bacteria demonstrated the ability to inhibit the growth of G. boninense in the agar diffusion method. The highest inhibition reached 51.63%. Furthermore, G. boninense mycelia were also experienced malformation by the presence of the secondary metabolites. The isolated rhizosphere bacteria showed promising ability to produce antifungal compounds which were able to inhibit the growth of G. boninense as well as causing the morphological changes of its mycelia.
Rheological Properties of Honey and its Application on Honey Flow Simulation through Vertical Tube
Authors: Bambang N , Ikhsan M , Tensiska  , Sukri N , Mahani  
Published: October 2019

Abstract
Honey is believed as functional food. Honey is very viscous fluid and make it difficult to flow. Rheological properties of honey is an important parameter to control and process design in food industry where honey used as food ingredients. Rheology is the study of flow and deformation properties of a material when pressure given to it intentionally or naturally. The majority of fluid foods had flow behavior best modelled with power law model which divide fluid into three models: Newtonian and non-Newtonian (Dilatant and Pseudo plastic). The purpose of this study was to examine the rheological characteristics of honey and the effect of temperature on viscosity as well as knowing how accurate the rheological model used (Power Law) to analyze the fluidity properties of honey. The method used is an experimental method with a descriptive analysis. The results showed that the honey used in this study has showed pseudo plastic flow properties with a flow behavior index value of 0.95

(
τ
=
6318.46

γ

0.947

)

. Effect of temperature on the viscosity of honey showed that the viscosity of honey decreases with increasing temperature and best modeled with Arrhenius equation

(

μ
=
1.05
×

10

−
10

e

76.01
1

8.314
T

)

. The results of honey flow simulation through the vertical glass tube transport system showed a very high degree of accuracy when compared with the actual results (99.57 %).
The Analysis of Poverty Trap on Smallholder Dairy Farms in Pangalengan Area
Authors: Sulistyati M , Hermawan  , Firman A 
Published: October 2019

Abstract
Dairy farming is dominated by smallholder producers in Pangalengan area. The characteristics of poverty trap are lack of capital, low productivity, low income, low savings and investment. Therefore, the purposes of this research were: 1) to find out the ability of smallholder farmers to increase the family income; 2) to analyze which factors influence on the existence of keeping dairy cows in small scale; and 3) to know the efforts of smallholder producers release from poverty trap. The research method used a survey method with quantitative and qualitative approaches. Number of respondents that chosen in study location were 100 respondents. The ordinary least square (OLS) is used to analyze the factors that affect the keeping dairy cows in small scale. The results showed that: 1) small scale dairy farms (one to three heads) have not been able to meet the needs of family life; 2) factors that influenced on the ownership of dairy cows in small scale those are cows asset, dairy farming income, cow productivity, and non-formal education; 3) the efforts of smallholder farmers to quit from poverty trap must increase number of cows, productivity, earnings, and improve non-formal education in the form of training and guidance.
Food Security Level of Farmer Households in Rice Field Agroecosystem
Authors: Rosada I , Nurliani  , Gobel F A 
Published: October 2019

Abstract
Food security at the household level essentially shows the ability of households to meet the food adequacy. This ability is influenced by complex factors but generally related to socio-economic aspects, food production behavior, consumption and allocation of household resources. The objectives of the research are 1) to identify the social and economic characteristics, 2) to identify the food consumption pattern, and 3) to analyze the level of household food security based on the quality of food consumption. This research was conducted in Lanrisang Sub-district, Pinrang District, South Sulawesi Province. This research is a depth survey research in 50 farm households in rice field agroecosystem that were chosen through simple random sampling. The analysis method was descriptive analysis, farm activities analysis and food consumption quality. The results showed that the description of socio-economic conditions of farmer household is 60% low educated, 58% had < 7 years of working experience on farm, 52% have ⩾ 3 family members, 74% with the income of ⩾ IDR 1,800,000, 86% of household expenditure on food, and only 9 people (18%) have alternative job. The level of household food security of farmers in rice field agroecosystem is categorized as “food insecure.”
Effects Of Fermented Milk And Soybean With Probiotic On Blood Lipid In Rats
Authors: Adriani L , Latipudin D , Lesmana R 
Published: October 2019

Abstract
Probiotics have several positive benefits such as reducing pathogenic bacteria population to help food digestion and lowering blood lipid levels. Therefore, a study was conducted to evaluate the effect of fermented cow milk, soybean milk, and combination of both with probiotic bacteria on HDL, LDL, and blood cholesterol level of rats. A total of 30 rats,8 weeks old were used in this study in a Complete Randomized Design. The rats were randomly assigned into 5 treatment and replicated 5 times of 1 rat each. The rats in first group (P0) were given basal feed without probiotic, P1 = basal feed + fermented cow milk; P2=basal feed +75% fermented milk + 25% soybean milk; P3 = basal feed + 50% fermented cow milk + 50 % fermented soybean milk P4=basal feed + fermented cow’s milk with different bacteria. There was a non-significant reduction in LDL, and cholesterol level of rats, also non-significant addition in HDL due to probiotic supplementation and the highest reduction is in group fed P4. Addition of probiotic in diet of rats gave the same respond, but have beneficial effect in improving blood cholesterol although non-significant different
Measurement Model for Supply Chain Performance of Shallot
Authors: Pratiwi D E , Setiawan B , Puspo C , Nugroho  , Hardana A E 
Published: October 2019

Abstract
Supply chain is an important key for any businesses’ existence and development, since this concept can be a solution for them to hold efficient operational practices, minimizing cost, and on time delivery. Therefore, appropriate management practices on supply chain of agricultural commodity could be a substantial matter since it has been facing problems in efficiency, supply, and minimizing cost. The higher the economic value of a commodity, the more important the role of management on its supply chain. One of Indonesia’s strategic and high valued commodity is shallot due to its high consumption and great contribution on regional economic development of production areas. Performance of shallot supply chain may impact on the parties involved, as farmers, traders, and suppliers. Thus, in order to formulate an accurate strategy to improve shallot supply chain performance, a measurement model is needed. This research employed Supply Chain Operations Reference (SCOR) method to identify the model, while analytical hierarchy process (AHP) was used to determine the weight of each indicator in the model. Findings of this research indicate that production is the key aspect on shallot supply chain. Furthermore, quality and order-fulfilment the most significant parameter in defining its performance is quality. Cost and order-fulfilment are proven as the highest weight-scores attribute and indicator, respectively, in measuring the performance of shallot supply chain.
The Effect of Organomineral on pH, Nitrogen Content, Organic-C Content and Yield of Upland Rice (Oryza sativa L.) on Inceptisols, West Java Indonesia
Authors: Mulyani O , Sudirja R , Joy B , Hanandiva R A 
Published: October 2019

Abstract
Generally, Inceptisols has low to moderate fertility characteristics. This condition can make a problem on the development of upland rice production caused by poor soil quality. Upland rice is one of the cultivated plants that is cultivated on dry land. This research was aimed to find the perfect combination of organomineral including humic acid, zeolite, natural phosphate, and dolomite on soil and yield of upland rice in Inceptisols. This research was conducted at Ciparanje, Faculty of Agriculture, Universitas Padjadjaran from July 2017 to February 2018. This experiment applied a Randomize Block Design (RBD) consisted of 10 treatments and three repetitions with the combination of humic acid (6; 8; 10 kg/ha); zeolite (150; 200; 250 kg/ha); dolomite (100; 150; 200 kg/ha) and natural phosphate (250; 300; 350 kg/ha). The result of this experiment showed that there was a significant effect of the organomineral on pH, Organic-C and yield of upland rice but no for total N. However the combination of humic acid 10 kg / ha + zeolite 150 kg / ha + dolomite 100 kg / ha + raw phosphate 250 kg / ha is the best doses compared to other combinations.
Combined application of native mycorrhizal and cellulolytic fungi to manage drought effects on maize
Authors: Fikrinda F , Syafruddin S , Sufardi S , Sriwati R 
Published: October 2019

Abstract
Drought become the foremost abiotic stress limiting plant growth and leading to crop-yield loss. This study was aimed to evaluate the effect of native arbuscular mycorrhizal (AM) and cellulolytic fungi (CF) on the growth, yield, mycorrhizal colonization, and the phosphorous (P) and proline contents of maize under drought. This study was conducted using a 3 x 3 factorial arranged in randomized complete block design with three replications The treatments were inoculation of native AM fungi (no AM fungi, Acaulospora tuberculata, and Gigaspora cf. gigantea) and native celluloltic fungi (no CF, Talaromyces pinophilus strain MR107 and Talaromyces pinophilus isolate OK3SP103P) evaluated under 50% field capacity (FC). Our results clearly indicated that increasing plant height, plant diameter, mycorrhizal colonization, and P content and decreasing proline content were affected either by native AM or cellulolytic fungi, but dry weight of 100-grain was only increased by native cellulolytic fungi. Combined inoculation of native AM and cellulolytic fungi improved P content and mycorrhizal colonization. Gi. cf. gigantea and T. pinophilus strain MR107 were more potential native inoculants to eliminate negative effect of water stress on maize.
Study on the application of coal blending technology based on quantum particle swarm optimization in large circulating fluidized bed boiler
Authors: Cai B , Qin T , Han Y , Yv Y L , Gao Z P , Zhao Z Y 
Published: October 2019

Abstract
Based on the theory of quantum particle swarm optimization, the calculation method of coal characteristics is integrated. The calculation analysis model and theoretical method are put forward to determine the distribution characteristics of lignite blended coal parameters. The CFB furnace heat transfer model with partitioned section calculation and the overall algorithm of boiler thermal calculation with sequential module iteration are applied to carry out thermal calculation of mixed coal with different proportions of lignite coal and variable conditions. The influence rule of the parameters is analyzed, and the range of reasonable mixing ratio is 50 ∼ 70%. Based on the theory of combustion air dynamics and clean combustion theory, the performance of a large CFB boiler with high proportion of lignite burning is optimized, and the thermal efficiency of the boiler is increased to 90.845%. The power consumption of the integrated plant is reduced to 10.59 - 11.23%
Digital measuring precision depending on not only resolutions but also sampling frequencies
Authors: Hao Y S 
Published: October 2019

Abstract
Digital measurements have widely been applied to observing signals in the world. Powers and frequencies are both main characteristic of signals. It is obvious that power precision of the signals is affected by resolutions of ADCs. There will be frequency errors if sampling frequencies are less than their lower limits, which was found by Nyquist at 1928. It will be proved true that there would be frequency errors too if sampling frequencies are larger than their supper limits in this paper, which are proportional to precisions in S-domain, and inversely proportional to resolutions of ADCs.