bluuebunny/crossref_metadata_2025_split huggingface dataset:
Qualitative analysis for sweetness classification of longan by near infrared hyperspectral imaging
Authors: Sahachairungrueng W , Teerachaichayut S 
Published: October 2019

Abstract
Near infrared analysis is a nondestructive technique used for determining the quality of various materials including fruit and other food. The objective of this study was to test whether near infrared hyperspectral imaging could be used for classifying sweetness of longan. One hundred and twenty samples were divided into a calibration set (n = 80) and a prediction set (n = 40). The average absorbance spectra from samples in the wavelength range of 935-1720 nm were used in this study. The sweetness of longan was represented by total soluble solids (TSS) which was used to separate fruit into a low sweet (TSS≤ 21.30°Bx) and high sweet fruit (TSS> 21.30°Bx). A classification model was developed in order to classify groups of longan based on sweetness, where 0 = low sweet and 1 = high sweet, by partial least squares discriminant analysis (PLS-DA). Spectra were preprocessed using a Savitzky-Golay smoothing method in order to obtain the optimal performance of the classification model. The results showed an accuracy of the classification model in the calibration set of 85% and the accuracy was 77.5% in the prediction set. Therefore, it was concluded that near infrared hyperspectral imaging has a potential for classifying longans nondestructive based on sweetness.
Biological activities and GABA content of Ma-Lod (Elaeagnus latifolia Linn.)
Authors: Meeploy M , Niwaspragrit C 
Published: October 2019

Abstract

Elaeagnus latifolia Linn. is a type of wild edible fruit plant belonging to the family Elaeagnaceae locally known as Ma-Lod in the Upper North of Thailand. In this study, the fruit of twelve Ma-Lod trees, namely ML-1, ML-2, ML-3, ML-4, ML-5, ML-6, ML-7, ML-12, ML-16, ML-17, ML-18, and ML-19, collected from Sangkhom District, Nong Khai Province were investigated for tyrosinase inhibitory activity, antioxidant activity, free radical scavenging activity, total phenolic content and GABA content. The results show that the reducing power of Ma-Lod flesh extracts highly correlated with their phenolic contents indicating phenolic compounds could be one of the main contributors to oxidant reducing power. Among twelve tested Ma-Lod trees, fruit flesh extracts of ML-1, ML-4, ML-5, and ML-17 were considered to be a promising source of biologically active compounds due to their high total phenolic contents, antioxidant activity and outstanding of tyrosinase inhibitory activity. GABA was also found in Ma-Lod flesh extract and the high recovery of GABA after passing through the Dowex 50W-X8 column was obtained. This wild and underutilized fruit exhibits many valuable characteristics which deserve conservation and utilization. It could be a potential source of natural biologically active compounds in the development of value-added products such as antioxidant-rich products and cosmetics. In addition, new investigation of the presence of GABA in Ma-Lod fruit might lead to the development of GABA food supplement in the future.
Detection of nosemosis in European honeybees (Apis mellifera) on honeybees farm at Kanchanaburi, Thailand
Authors: Maksong Samrit , Yemor Tanawat , Yanmanee Surasuk 
Published: October 2019

Abstract
This study was aimed to the detection of Nosema in European honeybees at Kanchanaburi Province and Identify species of Nosema by Polymerase Chain Reaction technique. The ventriculus of bees was individually checked to verify the presence of Nosema spores under light microscope. The number of spores per bee were quantify on a haemocytometer for infectivity. It was studied for three periods of the year. The first period was studied between October 2015 to January 2016, the second period from February to May 2016 and the third period from June to September 2016. The results showed that the highest infection rate in June-September 2019 was 100 and the lowest infection rate was 40 in October 2015 and January 2019. The average number of Nosema spores infection level in an individual was infectivity. The highest infectivity was 2.47x106 spores/bee in February to May 2016 and the lowest infectivity was 0.04x106 spores/bee in October 2015 to January 2016. Nosema
ceranae was found in this study by Polymerase Chain Reaction technique.
Retraction: Sensory Evaluation and Acceptability of Bambusa blumeana as Bamboo Shoot Polvoron (IOP Conf. Series: Materials Science and Engineering 639 012042)
Authors: Elumbra R 
Published: October 2019

This paper was retracted by IOP Publishing on 28 October 2019 as it was intended to be withdrawn before publication.Retraction published: 28 October 2019
Development of Star Pattern Recognition Algorithm for Star Sensor Using

C3n

Combination of Triangles Pattern
Authors: Ardi N S , Poetro R E , Saifudin M A , Fathurrohim L 
Published: October 2019

Abstract
The use of star sensor, which is the most accurate attitude sensor on satellites, began to penetrate into micro satellites and nano satellites. Thus the need arises to research and develop star sensor independently to meet the specific design of micro satellites and nano satellites. There are mainly two aspects to be considered in star sensor: hardware and software (algorithm). Star sensor’s algorithm is also known as star pattern recognition algorithm. This paper deals with development of star pattern recognition algorithm using

C
3
n

combination of triangles pattern, that is when there are n stars to be used to do pattern recognition, then

C
3
n

combination of triangles pattern would be generated. Success rate test are conducted in digital simulation approach using various number of stars that be used to do pattern recognition and various of star image resolution to test its robustness against star spot centroiding error. Results show that this algorithm has high level of success rate even on low resolution of star image, but has increased processing time when more stars are used to do pattern recognition.
Development of Hybrid Simulation Model of Air Traffic Management in the Terminal Control Area
Authors: Medianto R , Pasaribu H M , Muhammad H 
Published: October 2019

Abstract
The air traffic density at the Terminal Control Area can lead to several problems related to the safety and efficiency of flight operation if not adequately managed. These problems include the increased risk of crashes between aircraft, airborne and ground delays, waste of fuel and environmental problems caused by gas emission and noise. One of the analysis tools to solve these problems is the hybrid simulation model. The socio technic characteristics of the system can be observed more intact using a hybrid simulation model so that the results of the analysis more precise and comprehensive. This article describes the research framework and progress on the development of the hybrid simulation model of an ATM system in the Terminal Control Area. The final model will integrate of agent-based simulation, discrete event simulation, and system dynamics models. An agent-based simulation model that defines the movement of aircraft in the Terminal Control Area has been developed in this early research phase. The initial model can describe the rules for minimum separation between aircraft that are applied to ensure the safety of flight operations. The following aircraft will reduce its speed so that an adequate separation distance is obtained with the aircraft in front of it. The model then will be improved by integrating a discrete event simulation and system dynamics models on the initial model to obtain a complete hybrid simulation model.
Prediction of springback in the air V-bending of metallic sheets
Authors: Trzepiecinski T , Lemu H G 
Published: October 2019

Abstract
Springback is a critical phenomenon in design and analysis of sheet metal forming process of metallic sheets. An accurate prediction of elastic recovery of material allows to design forming tools which take into account springback compensation. Springback is influenced by many factors including mechanical properties of material, friction conditions, temperature and geometry of bending die. In this paper, the investigations are focused on the analysis of an intelligent air bending process using an artificial neural network (ANN). The air bending experiments were carried out in a designed semi closed 90° V-shaped die. The tests were conducted on three grades of sheet metals: aluminium 1070, brass CuZn37 and deep-drawing quality steel sheet DC04. The results of experimental tests were used as a training set for back-propagation learning of a multilayer artificial network built in Statistica Neural Network program. For all materials tested, an increase of the springback coefficient is observed when the bend angle increases. The results of neural prediction are in a good agreement with the experiments. The correlation coefficient of ANN prediction to the experimental results is equal to about 0.99.
Hydrodynamic analysis of Remotely Operated Vehicle (ROV) Observation Class using CFD
Authors: Satria D , Wiryadinata R , Esiswitoyo D P A , Adji M I , Rosyadi I , Listijorini E , Sunardi  
Published: October 2019

Abstract
Remotely Operated Vehicle (ROV) is a small marine craft used for underwater observation. Hence, the analysis of hydrodynamic characteristics is important. Hydrodynamic characteristics can be obtained by fluid dynamic visualization and simulation of Computational Fluid Dynamic (CFD). In this paper, ROV Hydrodynamic characteristics begin by forming a three-dimensional (3D) ROV model, forming link elements (mesh) from the 3D ROV model, and forming the computational domain used for CFD simulations. CFD simulations were conducted by analyzing the fluid flow angle variations that represent motion of the ROV, namely translational motion and rotational motion towards the vertical axis (yaw). The simulation results obtained were compared with the previous ROV design that had been developed, so as to obtain an evaluation of the results of the design optimization. The results showed an increase in the hydrodynamic characteristics of the optimal ROV design indicated by the value of drag, pressure distribution, and fluid flow contour.
Development Testing Method and Analysis Static Thrust for Propeller Based Propulsion
Authors: Khasyofi M , Hartono F 
Published: October 2019

Abstract
Propulsion system development involved aircraft manufacturer and engine or propeller manufacturer to perform test and evaluation. The main of this research was propulsion testing for unmanned aerial vehicle by evaluating thrust in static condition. Static thrust testing was conducted by force measurement using load cell and data acquisition systems. Thrust measurement result was compared with analytical method and computer fluid dynamic simulation. Analytical method in this paper used vortex blade element theory to calculated static thrust meanwhile Computational fluid dynamic was running both 2 dimension and 3 dimension simulation. Vortex blade element theory analysis combined with computational flight dynamic simulation for propeller aerofoil at 70% location. Test result compared with analytical and CFD calculation using non dimensional parameter. Analytical calculation deviated 5.08% from experiment meanwhile CFD calculation give 13.56% but still in error tolerances. Error tolerances considered from friction force, sensor accuracy and air density correction with total 6.33 kgf.
Manufacturing Fiberglass-Epoxy LSU-03 Aircraft Propeller Using Hand Lay-up and Vacuum Assisted Resin Transfer Moulding (VARTM) Methods
Authors: Dwi A Z , Syamsudin H 
Published: October 2019

Abstract
One of important aspect in designing a good quality product is on the method of how to manufacture it. In the world of aviation, products are required to meet several design criteria namely, strength, weight, and cost. Based on these design criteria, a study was carried out to manufacture LSU-03 propeller product sample using two manufacturing methods, i.e. hand lay-up and vacuum assisted resin transfer molding (VARTM). The objective is to design the manufacturing processes and to compare the quality of the propellers. The material used in this study are E-glass fiber cloth 135 and Epoxy “Lycal” resin. Prior to the propeller manufacturing process, several testing based on ASTM of manufactured composite plate was carried out to determine important parameters, i.e. thickness distribution, fiber volume fraction and voids content. A total of 3 propellers were manufactured. In order to determine the conformity of the product, propeller geometry is then measured and compared to the design mold. Finally, the comparison of the quality was made between the products of two methods. The quality of propeller products is measured based on calculated mass, thickness, void, fiber volume fraction, cost, surface quality and geometry conformity. It was concluded that VARTM is better than standard HLU and therefore more suitable for LSU-03 aircraft propeller production.
Chatter Identification in End Milling Process Based on Cutting Force Signal Processing
Authors: Tran M Q , Liu M K 
Published: October 2019

Abstract
During milling process, chatter is one of the major limitations of productivity, it has more negative effects on the surface finish, dimensional accuracy and tool life. It is thus necessary to detect and avoid chatter occurrence. In this study, a chatter detection approach based on cutting force signal is presented. The milling force signals were measured by cutting force sensor and then analyzed by using time-frequency analysis approaches such as short-time Fourier transform (STFT) and continuous wavelet transform (CWT) in order to identify chatter. The different sets of cutting conditions were utilized to recognize chatter presence. The spectrogram and scalogram results of the force signals represented a great difference in frequency content between stable and unstable cuttings. The analysis results were then validated by cutting force behavior in the time domain.
Performance Analysis of Non–Oriented Electrical Steel with Optimum Texture for High–Speed Traction Motors
Authors: Mukundan Shruthi , Mehdi Mehdi , Dhulipati Himavarsha , Chauvin Lucas , Edrisy Afsaneh , He Youliang , Tjong Jimi , Kar Narayan C. 
Published: October 2019

Abstract
The magnetic properties of non–oriented electrical steel (NOES) vary significantly with respect to the microstructure and crystallographic texture of the final steel sheets, which, in turn, are highly dependent upon the thermomechanical processing parameters used during hot rolling, cold rolling and annealing. This paper performs an exploratory performance analysis of NOES for use in high–speed traction motors, emphasizing the importance of obtaining an appropriate crystallographic texture to achieve the desired magnetic properties by controlling the annealing temperature and holding time. A 3.2% Si NOES annealed at 860°C for 24 hours after hot rolling can result in reduced core losses after cold rolling and final annealing. This material was chosen for the performance analysis of a laboratory scale high–speed, high–power traction motor (45 kW, 10,000 rpm) using finite element analysis (FEA). The motor using the NOES is compared to that using a commercially available grain–oriented electrical steel (GOES) to highlight the feasibility and advantages of NOES for high–speed motor applications. In addition, the motor performance using the NOES is compared to that using commercial NOES to understand the scope of improvement obtained by optimizing the microstructure and texture of the steel sheet.
The Effect of Machining Parameters to the Surface Roughness in Low Speed Machining Micro-milling Inconel 718
Authors: Kiswanto Gandjar , Azmi M , Mandala A , Ko T. J. 
Published: October 2019

Abstract
In recent years, the rapid technology development in industry sector, especially in aviation industry has been increasing. So that we need more capabilities in the micro-scale manufacturing process, especially micro-milling process which can produce good surface roughness and high complexity parts. In this study, the effect of machining parameters to the surface roughness investigated by using Inconel 718 material with cutting tool diameter 1 mm, carbide material with coating TiAlN. The machining process was performed in low speed machining category. There are three variations of spindle speed (3.000, 7.000, 10.000 RPM) and also feed rate (0.5, 1, 2 mm/s) with constant depth of cut 10 μm. The relationship between machining parameters and surface roughness was obtained. The higher the feed rate, the higher the surface roughness produced. On the other hand, the higher the spindle speed the smaller the surface roughness. It also found that the machining process with low spindle speed, below 10.000 RPM, successfully carried out on hard-to-cut material, Inconel 718, that will be increasing the flexibility of machining parameters.
Novel design for the adjustable knock-out mechanism with a Roberts linkage
Authors: Yu C Z , Wu F G 
Published: October 2019

Abstract
This article presents a new adjustable knock-out mechanism of a bolt former with a Roberts linkage and an adjustable crank-rocker linkage. The design requirements of the new mechanism are based on the analysis of an existing adjustable knock-out mechanism. The new adjustable knock-out mechanism mainly consisting of a Roberts linkage, and an adjustable crank-rocker linkage is proposed to meet the specified requirements. The path of the knock-out screw is approximately a straight line and the method presented is illustrated by an example.
Polarisation control for optical nanofibres by imaging through a single lens
Authors: Tkachenko Georgiy , Lei Fuchuan , Chormaic Síle Nic 
Published: October 2019

Abstract
We present a simple method for controlling the polarisation state of light at the waist of a single-mode optical nanofibre. The method consists of complete polarisation compensation based on imaging scattered light from inherent inhomogeneities both on the fibre surface and in the glass material itself. In contrast to the recently reported protocol exploiting two imaging systems oriented at 45° to each other, our method requires only one lens and a video camera. It is particularly useful for nanofibre-based applications with severe geometric constraints, such as inside vacuum chambers for experiments with cold atoms. The measured fidelity of the achieved control is about 98% using lenses with moderate numerical apertures.
Prepregnancy Diabetes and Perinatal Mental Illness: A Population-Based Latent Class Analysis
Authors: Brown Hilary K , Cairncross Zoe F , Lipscombe Lorraine L , Wilton Andrew S , Dennis Cindy-Lee , Ray Joel G , Guttmann Astrid , Vigod Simone N 
Published: October 2019

AbstractWe examined the risk of any perinatal mental illness associated with prepregnancy diabetes and identified how diabetes duration, complexity, and intensity of care affect this risk. We performed a population-based study of women aged 15–49 years with (n = 14,186) and without (n = 843,818) prepregnancy diabetes who had a singleton livebirth (Ontario, Canada, 2005–2015) and no recent mental illness. Modified Poisson regression estimated perinatal mental illness risk between conception and 1 year postpartum in women with versus without diabetes and in diabetes groups, defined by a latent class analysis of diabetes duration, complexity, and intensity-of-care variables, versus women without diabetes. Women with diabetes were more likely than those without to develop perinatal mental illness (18.1% vs. 16.0%; adjusted relative risk = 1.11, 95% confidence interval: 1.07, 1.15). Latent classes of women with diabetes were: uncomplicated and not receiving regular care (59.7%); complicated, with longstanding diabetes, and receiving regular care (16.4%); and recently diagnosed, with comorbidities, and receiving regular care (23.9%). Perinatal mental illness risk was elevated in all classes versus women without diabetes (adjusted relative risks: 1.09–1.12), but results for class 2 were nonsignificant after adjustment. Women with diabetes could benefit from preconception and perinatal strategies to reduce their mental illness risk.
Comparison of Zn accumulation and speciation in kernels of sweetcorn and maize differing in maturity
Authors: Cheah Zhong Xiang , Kopittke Peter M , Scheckel Kirk G , Noerpel Matthew R , Bell Michael J 
Published: October 2019

Abstract

Background and Aims
Understanding the speciation of Zn in edible portions of crops helps identify the most effective biofortification strategies to increase the supply of nutrients for improving the health and nutrition of consumers.

Methods
Kernels of 12 sweetcorn and three maize (Zea mays) varieties were analysed for Zn concentration and content. The speciation of the Zn in the embryos, endosperms and whole kernels at 21, 28 and 56 days after pollination (DAP) was then examined for one maize and one sweetcorn variety using synchrotron-based X-ray absorption spectroscopy (XAS).

Key Results
Averaged across all sweetcorn and maize varieties at 21 DAP, the embryo contributed 27–29% of the whole kernel Zn whilst the endosperm contributed 71–73 %. While sweetcorn embryos contributed a lower proportion to the total kernel Zn than those of maize, the proportion of total Zn in the embryo increased as kernels aged for both varieties, reaching 33 % for sweetcorn and 49% for maize at 28 DAP. Using XAS, it was predicted that an average of 90 % of the Zn in the embryos was present as Zn-phytate, while in the endosperm the Zn was primarily complexed with an N-containing ligand such as histidine and to a lesser extent with phytate. However, in maize endosperms, it was also observed that the proportion of Zn present as Zn-phytate increased as the kernel matured, thereby also probably decreasing its bioavailability in these mature maize kernels.

Conclusions
The apparent low bioavailability of Zn supplied in maize at its consumption stage (i.e. mature kernels) probably undermines the effectiveness of biofortification of this crop. Conversely, successful biofortification of Zn in sweetcorn and green maize consumed as immature kernels could potentially provide a good source of bioavailable Zn in human diets.
CRT intersectionality and non-profit collaboration: a critical reflection
Authors: Leach Kirk A , Crichlow Wesley 
Published: October 2019

Abstract
This article integrates a critical race (CRT) and intersectional conceptual lens to illuminate racial power dynamics when white-dominated non-profit organizations engage a collaborative strategy in communities of colour. Utilizing this integrated lens, we also critically assess our own positionality as researchers conducting community-based research in communities of colour. CRT and intersectionality broadens our explanatory power by providing the methodological tools – storytelling, critical autoethnography and narrative that illuminate the experiences of people of colour, and contradicts the majoritarian research narrative that dominates our understanding on non-profit collaborative strategy in communities of colour. Through this approach, we provide an insight and offer practical suggestions that enable a more just and inclusive community development praxis.