bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quality control of protective polymer coatings on metal by acoustic method
Authors: Krasheninnikov A I , Luchnikov A P , Nazarenko A A , Yu Dalskaya G , Chernova N I 
Published: October 2019

Abstract
An acoustic method for quality control of adhesive compounds of polymer coating on metal in the coating—positive system qualitatively characterizing the value of the adhesive bond is proposed. Ultrasonic measuring cell is considered as a resonant system, the parameters of which are determined by the properties of all the parameters of the layered structure at the same properties of the piezoelectric sensor and acoustic contact. The coating adhesion is evaluated on the basis of the parameters of the amplitude-frequency characteristics of the studied layered structure of the composite coating according to the humming dependences of the adhesion — reflection coefficient the wave. The technique allows to control the processes of polymerization of organic coatings in the process of their formation.
Optical strength of the material under conditions of high-power pulsed radiation
Authors: Mkrtychev O V 
Published: October 2019

Abstract
The stochastic nature of the laser-induced destruction of transparent materials under the action of high-power pulsed laser radiation was simulated using the Weibull statistical distribution in order to predict the optical strength dynamics of the irradiated surface. Theoretical and experimental studies of the optical strength of glass composites were conducted, taking into account the stochastic properties of the breakdown of nano-scale coatings under the action of a single high-power pulsed laser radiation. Coatings were obtained by sol-gel method. As a radiation source, we used a solid-state laser on a yttrium-aluminum garnet doped with neodymium ions (YAG-Nd laser) which generated laser pulses at wavelength of 1.064 μm with duration of 30 ns with energy of up to 0.15 J and with duration of 300 μs with energy of 1.2 J The authors proposed an algorithm for determining the optical strength of the irradiated material by the breakdown stress of the material. It is proposed to determine the breakdown stress by comparing the experimental and simulated dependences of stress, temperature, and reliability of the surface of the irradiated material. Based on the proposed measurement technique, experimental studies were conducted and an algorithm was developed for determining the optical strength of coatings.
Digital technologies in non-destructive testing
Authors: Ponomarev A V , Ponomareva O V 
Published: October 2019

Abstract
This paper considers the problems of development and application of digital technologies in non-destructive testing (NDT). Conducting NDT is represented as some generalized information process. A specific object is represented in the form of digital stages: obtaining accessible, reliable and sufficient information about the properties and state of the object of testing, processing the received primary information, analyzing the processed information, making decisions about further actions with the testing object. In the paper at the system level, the formalization of an urgent and important scientific problem is proposed-the problems of developing digital technology (technologies) for each of the stages of the NDT information process. It is shown that a systematic approach to resolving a problem allows one to formulate a morphological, functional and informational description of the problem, as well as to find hypotheses for solving the problem by carrying out a sequence of operations that solve the problem. A universal structural scheme has been developed for solving scientific problems in the development of digital technologies at the stages of the NDT information process. An example of the practical application of the above approach for one of the NDT methods-functional vibro-acoustic diagnosis of objects is given.
Controlling the operation of the intelligent generator and energy translator integrated from space and planetary objects as the elements of a power plants in space (in orbit)
Authors: Grabchak E P , Bortalevich S I , Loginov E L , Soldatov A I 
Published: October 2019

Abstract
The author analyzes problems of using artificial intelligence based of monitoring systems and management, as well as the opportunities of operating performance parameters of networks transporting energy resources within a quasi-integrated electric power super-system of the gigawatt level, the space part of which consists of distributed satellite formations as quasi-integrated segments of orbital power stations. In this case, you must consider the increasing presence of intelligent control devices (e.g., cyber-physical device conversion and switching energy, intelligent management system, open service platform, etc.). The author offers to predict the dynamic characteristics of the integrated quasi-integrated electric power super-system when analyzing the interrelations of metastable states in the processes of obtaining energy from objects of space power generation in the microwave, laser or other mode and converting it into electric power by ground installations.
Using artificial intelligence to optimize intermodal networking of organizational agents within the digital economy
Authors: Bahtizin A R , Bortalevich V Y , Loginov E L , Soldatov A I 
Published: October 2019

Abstract
The problems of forming a digital economy supersystem have been analyzed by the authors using a key business model of sharing digital assets by organizational agents based on the convergence of telematic, computing and information services with the final output of a complex of managed digital objects to a new quality control based on the M2M principle integration. The integration of standardized network infrastructures allows the transformation of traditional linear-hierarchical chains of management transactions in a network of transactions of digital objects that perform intelligent interaction without human intervention through IP-like connections. The introduction of universal shells of any business process from the processing of primary data to processing in the deep region with the use of advanced multi-agent optimization algorithms of the next [after 3G] generation [based on 4G, 5G, etc.], implemented within the electronic micro-, meso-and macrocontent allows us to ensure the stability of the super system within the optimal values of the activities of controlled digital objects due to the increased possibilities of observation and control.
Using wavelet transforms to suppress light interference in the optoelectronic monitoring system of the weft thread break
Authors: Morgunov Yu Yu , Yakunin A G 
Published: October 2019

Abstract
The article presents the results of studies on interference suppression in optoelectronic methods for monitoring weft thread weaving looms on the basis of linear image sensors caused by inhomogeneities of the background created by sources of natural or artificial light sources in a controlled image scene. Existing solutions that use linear or nonlinear filtering are focused primarily on the processing of two-dimensional images on personal computers and are unsuitable for use in embedded applications. In particular, their use is also ineffective for solving the above problem, when the useful signal is defined as the difference between the output signals of the photodetector taken at a fixed time interval. As studies have shown, in this case, the best result is the use of discrete wavelet-transform.
A fruits recognition system based on a modern deep learning technique
Authors: Thi Phuong Chung Dang , Van Tai Dinh 
Published: October 2019

Abstract
The popular technology used in this innovative era is Computer vision for fruit recognition. Compared to other machine learning (ML) algorithms, deep neural networks (DNN) provide promising results to identify fruits in images. Currently, to identify fruits, different DNN-based classification algorithms are used. However, the issue in recognizing fruits has yet to be addressed due to similarities in size, shape and other features. This paper briefly discusses the use of deep learning (DL) for recognizing fruits and its other applications. The paper will also provide a concise explanation of convolution neural networks (CNNs) and the EfficientNet architecture to recognize fruit using the Fruit 360 dataset. The results show that the proposed model is 95% more accurate.
The Effect of Agricultural Waste Nanocellulose on The Properties of Bioplastic for Fresh Fruit Packaging
Authors: Iriani E S , Permana A W , Yuliani S , Kailaku S I , Sulaiman A A 
Published: October 2019

Abstract
Despite the high production rate of Indonesian exotic fruits, the export rate has not been as high as desired. One of the main problems in exporting fresh fruits is the control of shelf-life during transportation and distribution. The use of active packaging has been reported to overcome this problem. Bioplastic bags are potential for this purpose, not only to extend the shelf-life, but also to create an environmentally friendly packaging. The objective of this research was to study the effects of the reinforcement of nancellulose obtained from rice straw and palm empty fruit bunch on the properties of bioplastic. Nanocellulose from rice straw and palm empty fruit bunch were produced using top-down method and blended with bioplastic pellets to produce bioplastic bags. Bags being analyzed for mechanical properties, morphological structure and permeability. The treatment including palm empty fruit bunch Bioplastic; rice straw bioplastics; commercial bioplastic, polypropylene and low density polyethylene plastic bags. Result study showed that bioplastic bags reinforced with palm empty fruit bunch nanocellulose had 23.30% higher tensile strength and 24.76% higher elongation compared with commercial bioplastics, while rice straw nanocellulose reinforcement only increased the tensile strength by 8.51% and did not improve the elongation. The Water Vapor Transmission Rate (WVTR) of bioplastic bags reinforced with rice straw and palm empty fruit bunch nanocellulose respectively was 401 and 399% higher compared to polypropylene plastic bags. Reinforcement with palm empty fruit bunch nanocellulose produced bioplastic bags with better properties due to higher mechanical properties compared to natural bioplastics with lower WVTR.
GMP Implementation and CCP Determination on Chocolate Candy Processing in ATP Nglanggeran Yogyakarta
Authors: Marwati T , Hendrawanto P P , Widodo S , Djaafar T F , Utami T , Rahayu E S 
Published: October 2019

Abstract
Indonesia is the third largest cocoa producer in the world after Ivory Coast and Ghana. With this potential, many industries in Indonesia process cocoa beans into various products, especially chocolate. One of the products in Agricultural Techno Park (ATP) Nglanggeran is chocolate candy. Chocolate candy must be safe for the consumer. Therefore this research aimed to assess the Good Manufacturing Practices (GMP) application and Critical Control Point (CCP) determination at the processing stage of chocolate candy in ATP Nglanggeran. In this study, observation and interview were conducted by the employees at Taman Teknologi Pertanian. Furthermore, assessment of GMP application with guidelines on Good Food Production Methods for Household Industries (Cara Produksi Pangan yang Baik untuk Industri Rumah Tangga/CPPB-IRT) was conducted. Assessment of process was analyzed based on process flowchart, water content analysis and water activity analysis in samples of steaming, roasting, deshelling, mixing and refining, conching, and chocolate candy. The last step was Critical Control Point (CCP) determination at the chocolate candy processing. From the analysis results of water content and water activity obtained that the processing of chocolate candy had not been able to eliminate the contamination of fungi, especially Aspergillus niger. The Critical Control Point (CCP) of the process was at the roasting and conching processes.
Effect of Pre-Treatment on The Physicochemical Characteristics of Potato Powder Dried by Drum Dryer
Authors: Hidayat T , Setyadjit  
Published: October 2019

Abstract
In the industrial processing of fruits and vegetables, such as potato, the peeling and blanching processes are considered as pre-treatment. The choice of the most appropriate treatment depends on the raw material and the necessary attributes for the final product. This study aimed to determine the effect of pre-treatment (peeling and blanching method) on the physicochemical characteristics of potato powder dried by drum dryer. In this study, Margahayu variety was used. Potatoes were sorted, peeled (no peeling, abrasive, lye, and hand peeling method), soaked in clean water, cut into four parts, drained, and then blanched for 10,15, and 20 minutes. Blanched potatoes were subsequently mashed into a paste and then dried by drum dryer. The physicochemical character of potato powder was analyzed, i.e. yield and colour, water, ash, fat, protein, and carbohydrate content. The results showed that peeling and blanching treatment had a significant effect on yield, colour, water and protein content, and had no significant effect on ash, fat, and carbohydrate content. Treatment of lye peeling with blanching for 10 minutes resulted in the best of yield (17.8%) and powder physicochemical characteristics such as colour (L=95.30; a=0.36; b=28.83), water content 7.18%, ash 3.25%, fat 0.36%, protein 10.14 %, and carbohydrate 80.80%.
Preliminary Study of Hanjeli (Coix lacryma-jobi L) Flour for Food Uses
Authors: Mulyono E , Kusuma A , Dewandari K T , Darniadi S 
Published: October 2019

Abstract
Job’s tears (Coix lacryma-jobi L) is one of staple crop has a potential in improving food security by substituting rice. It is rich of nutrition and essential chemicals compounds, either as food or herbal. Product yield of job’s tear and quality need to be increased for obtaining flour for various food. This study aimed to investigate the physical and chemical properties of Job’s tear flour was subjected by wet milling and dry milling techniques. The result showed that wet-milled flour had higher value of moisture content compare to the dry-milled flour. Thermal properties of wet- and dry-mill were different each other. Conclusion temperature (Tc) - onset temperature (To) of dry-milled flour was statistically higher than wet-mill flour. The gelatinization enthalpy of wet-milled flour (11.2085 J/g) was higher than dry-milled flour samples (7.8542J/g). Dry milling technique caused more damaged and had more various cracks, fissures and holes on the starch surface than wet.
Isolation of Microfibrilated Cellulose from Oil Palm Empty Fruit Bunches (EFB) Through Peracetic Acid Delignification and Enzyme Hydrolysis
Authors: Muna N , Fauzi A A N , Setyaningsih D , Yuliani S 
Published: October 2019

AbstractOil palm empty fruit bunches (OPEFB) have high cellulose content, that is equal to 35.66%-57.75%wt. This research aims to convert cellulose fibre from OPEFB into advance biomaterial such as micro and nanofibrilated cellulose through peracetic acid delignification and enzyme hydrolysis. Peracetic acid (PAA) is a strong oxidizer which has been used by previous researchers for pretreatment of lignocellulosic biomass, can act as a bleaching agent and safe for the environment. The delignification process was done with PAA concentration varied from 2.57.5% v/v, within 2-6 hours at 80-85°C. Enzyme hydrolysis with cellulase complex at a concentration 10-25% w/w for 12-48 hours was done to reduce the particle size of cellulose. The cellulose fibre treated with 2.5%v/v PAA for 2 hours delignification time has the highest cellulose content of 81.01%wt. The best enzyme hydrolysis treatment obtained from a 15% enzyme concentration for 24 h hydrolysis time, with the dispersion stability of 60% and average particle size of 822.7 nm. The highest product crystallinity was 25.3%, obtained after 36 h hydrolysis time. Based on the particle size and SEM images result, it was known that enzyme hydrolysis can transform cellulose into microfibrilated cellulose but it is not strong enough to produce nanocellulose.
Characterization of Monodiacylglycerol (MDAG) Synthesized from Papua Nutmeg (Myristica Argantea Warb)
Authors: Luna P , Agustinisari I , Hernani  
Published: October 2019

Abstract
Papua nutmeg (Myristica argantea Warb) is indigenous of Fakfak, West Papua. The use of Papua nutmeg is still traditional, i.e. dried fruit, seed, and mace. The seed of Papua nutmeg contains a lipid that could be developed as an emulsifier such as monodiacylgycerol (MDAG). The study aimed to investigate the synthesis of MDAG from Papua nutmeg seed oil and its bioactivity against Staphylococcus aureus and Saccharomyces cerevisiae. Approximately 13 treatments were conducted to optimize the synthesis of MDGA based on the Central Composite Design of Response Surface Methodology (RSM). The parameters evaluated were temperature and reaction time. The result showed that the optimal temperature and reaction time for MDAG production were 42°C and 17 hours which produced 35% and its purity was 93%. The MDAG produced inhibited S. aureus and S. cerevisiae at the concentration 25 mg/ml. The chemical properties of MDAG from the Papua nutmeg contained monoacylglyserol (MAG) (23.35%), diacylglycerol (DAG) (1.87%), and triacylglycerol (TAG) (5.37%), as well as other fatty acids. Physicochemically, the MDAG had a melting point 53.554 °C, iod value 17.34, peroxide value 47.25 meq/1000 g, and purity 93.3%.
Intervention Mediators in a Randomized Controlled Trial to Increase Physical Activity and Fatigue Self-management Behaviors Among Adults With Multiple Sclerosis
Authors: Plow Matthew , Motl Robert W , Finlayson Marcia , Bethoux Francois 
Published: October 2019

Abstract

Background
People with multiple sclerosis (MS) often experience fatigue, which is aggravated by inactivity. Identifying mediators of changes in physical activity (PA) and fatigue self-management (FSM) behaviors could optimize future interventions that reduce the impact of MS fatigue.

Purpose To
examine the effects of telephone-delivered interventions on Social Cognitive Theory constructs and test whether these constructs mediated secondary outcomes of PA and FSM behaviors.

Methods
Participants with MS (n = 208; Mean age = 52.1; Female = 84.6%) were randomized into contact–control intervention (CC), PA-only intervention, and PA+FSM intervention. Step count (Actigraphy) and FSM behaviors as well as self-efficacy, outcome expectations, and goal setting for PA and FSM were measured at baseline, post-test (12 weeks), and follow-up (24 weeks). Path analyses using bias-corrected bootstrapped 95% confidence intervals (CI) determined whether constructs at post-test mediated behaviors at follow-up when adjusting for baseline measures.

Results
Path analysis indicated that PA-only (β = 0.50, p < .001) and PA+FSM interventions (β = 0.42, p < .010) had an effect on goal setting for PA, and that PA + FSM intervention had an effect on self-efficacy for FSM (β = 0.48, p = .011) and outcome expectations for FSM (β = 0.42, p = .029). Goal setting for PA at post-test mediated the effects of PA-only (β = 159.45, CI = 5.399, 371.996) and PA + FSM interventions (β = 133.17, CI = 3.104, 355.349) on step count at follow-up. Outcome expectations for FSM at post-test mediated the effects of PA + FSM intervention on FSM behaviors at follow-up (β = 0.02, CI = 0.001, 0.058).

Conclusions
Goal setting for PA and outcome expectations for FSM may be important constructs to target in telephone-delivered interventions designed to reduce the impact of MS fatigue.

Trial registration
Clinicaltrials.gov (NCT01572714)
Preference for Deliberation and Perceived Usefulness of Standard- and Narrative-Style Leaflet Designs: Implications for Equitable Cancer-Screening Communication
Authors: Robb Kathryn A , Gatting Lauren P , von Wagner Christian , McGregor Lesley M 
Published: October 2019

Abstract

Background
In the UK, cancer-screening invitations are mailed with information styled in a standard, didactic way to allow for informed choice. Information processing theory suggests this “standard style” could be more appealing to people who prefer deliberative thinking. People less likely to engage in deliberative thinking may be disenfranchised by the design of current standard-style information.

Purpose
To examine the distribution of preference for deliberative thinking across demographic groups (Study 1) and explore associations between preference for deliberative thinking and perceived usefulness of standard- and narrative-style screening information (Study 2).

Methods
In Study 1, adults aged 45–59 (n = 4,241) were mailed a questionnaire via primary care assessing preference for deliberative thinking and demographic characteristics. In Study 2, a separate cohort of adults aged 45–59 (n = 2,058) were mailed standard- and narrative-style leaflets and a questionnaire assessing demographic characteristics, preference for deliberative thinking, and perceived leaflet usefulness. Data were analyzed using multiple regression.

Results
In Study 1 (n = 1,783) and Study 2 (n = 650), having lower socioeconomic status, being a women, and being of nonwhite ethnicity was associated with lower preference for deliberative thinking. In Study 2, the standard-style leaflet was perceived as less useful among participants with lower preference for deliberative thinking, while perceived usefulness of the narrative-style leaflet did not differ by preference for deliberative thinking.

Conclusions
Information leaflets using a standard style may disadvantage women and those experiencing greater socioeconomic deprivation. More work is required to identify design styles that have a greater appeal for people with low preference for deliberative thinking.
Validation of an Optimized Algorithm for Identifying Persons Living With Diagnosed HIV From New York State Medicaid Data, 2006–2014
Authors: Macinski Sarah E , Gunn Jayleen K L , Goyal Mona , Neighbors Charles , Yerneni Rajeev , Anderson Bridget J 
Published: October 2019

AbstractAlgorithms are regularly used to identify persons living with diagnosed human immunodeficiency virus (HIV) (PLWDH) in Medicaid data. To our knowledge, there are no published reports of an HIV algorithm from Medicaid claims codes that have been compared with an HIV surveillance system to assess its sensitivity, specificity, positive predictive value, and negative predictive value in identifying PLWDH. Therefore, our aims in this study were to 1) develop an algorithm that could identify PLWDH in New York State Medicaid data from 2006–2014 and 2) validate this algorithm using the New York State HIV surveillance system. Classification and regression tree analysis identified 16 nodes that we combined to create a case-finding algorithm with 5 criteria. This algorithm identified 86,930 presumed PLWDH, 88.0% of which were verified by matching to the surveillance system. The algorithm yielded a sensitivity of 94.5%, a specificity of 94.4%, a positive predictive value of 88.0%, and a negative predictive value of 97.6%. This validated algorithm has the potential to improve the utility of Medicaid data for assessing health outcomes and programmatic interventions.