bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perinatal Management of Haemophilia
Authors: Streif Werner , Knöfler Ralf 
Published: May 2020

AbstractThe aim of this review is to provide practical guidance for the treatment of carriers of haemophilia and newborns presenting with haemophilia. Both mother and newborn have an increased risk for clinically relevant bleeding. An experienced team should manage genetic counselling, prenatal diagnosis, pregnancy, delivery and the newborn presenting with haemophilia. Published and regularly updated guidelines must guide this team. Vaginal and caesarean deliveries before labour entail a comparable bleeding risk. Haemophilia carriers should receive factor concentrate (FC) at the time of delivery if their factor level is below normal. Evidence remains insufficient to recommend systemic desmopressin and tranexamic acid for the prevention of peripartum haemorrhage. Primary prophylaxis with FC for all newborns with severe haemophilia is not justified. The pattern of bleeding seen in the affected newborns is essentially different from that seen in older children. Estimated frequency of intracranial haemorrhage (ICH) is 2 to 3%. Cranial ultrasound is a good screening method for ICH in newborns. Many neonatal bleeds are iatrogenic in origin. The most prominent concerns regarding neonatal factor replacement are the risk for inhibitor development, followed by local bleeding and issues related to poor vascular access. The preference for plasma-derived FC and recombinant FC differs widely between centres and countries. Replacement therapy should be monitored since newborns may require higher doses of FC. Emicizumab, licensed for all age groups since 2019, should not be used in newborns with severe haemophilia A and acute bleeding, although “non-factor” agents are expected to revolutionise haemophilia therapy.
Study of Anomalies Associated With Labiopalatine Clefting
Authors: Choudhury Pradipta Ray , Talukdar K.L. , Sarma J. , Baruah Prabahita 
Published: May 2020

Abstract
Background and aims: Cleft lip with or without cleft palate are the most common congenital malformations of the head and neck accounting for about 65% of all anomalies of this region. Approximately 70% of cleft cases are non-syndromic and occur as isolated condition, while remaining 30% cases are associated with systemic defects involving cardiovascular, musculoskeletal, genitourinary system and other structural anomalies. The purpose of this study is to assess the various anomalies associated with labiopalatine clefting. Materials and methods: Sixty four cases of cleft lip with or without cleft palate attending the OPD of Department of Plastic Surgery and Pediatric Surgery, Gauhati Medical College and Hospital, were studied. Among them three cases were found to be associated with other anomalies. Results: One case of cleft lip and palate presented with multiple anomalies like tongue tie, malformed external ear and micrognathia. Another one had acyanotic heart disease associated with cleft lip. A case of cleft lip and palate was also found to be associated with hydrocephalus. Conclusion : Proper knowledge and details of anomalies associated with orofacial cleft will help to provide necessary treatment and improve survival of these children.
Which Pre- and Postoperative Coronal Plane Laxity Parameters Influence Patient Satisfaction and Function after Primary Total Knee Arthroplasty?
Authors: McAuliffe Michael , O'Connor Patrick , Major Lisa , Garg Gautam , Whitehouse Sarah L. , Crawford Ross 
Published: May 2020

AbstractSoft tissue balancing, while accepted as crucial to total knee arthroplasty (TKA) outcomes, is incompletely defined as the subject of broad recommendations. We analyzed 120 computer-assisted, posterior stabilized TKA undertaken for osteoarthritis. Coronal plane laxity was measured, in the 91 varus and 29 valgus knees, prior to any bone resection or soft tissue release, and again after implant insertion. Soft tissue laxity parameters were correlated to the American Knee Society Score (2011) at a minimum follow-up of 12 months with a focus on patient function and satisfaction. Thirteen specific laxity parameters showed a significant correlation to satisfaction, one parameter correlated to function, and another to both functional and satisfaction outcomes. Most correlations were weak, the strongest related to postoperative decreases in coronal plane laxity. Greater preoperative varus but not valgus deformity was associated with higher satisfaction scores. Additionally, 30 patients who reported 40 of 40 satisfaction and that their TKA knee felt normal at all times did not have soft tissue balancing parameters distinguishing them from other subjects. Patient satisfaction and function outcomes demonstrated limited correlation to coronal plane soft tissue parameters. It appears that optimizing TKA satisfaction and function is not as simple as producing a narrow range of coronal laxity parameters. The ongoing debate around optimal coronal plane alignment and its subsequent effect on coronal plane soft tissues may not be as independently important as currently argued. Soft tissue balance may need to be considered as a more complex global envelope.
Impact of Parkinson's Disease on Complications, Readmission Rates, and Costs of Care following Primary Total Knee Arthroplasty
Authors: Marchand Kevin B. , Vakharia Rushabh , Sodhi Nipun , Anis Hiba , Salem Hytham S. , Scuderi Giles R. , Mont Michael A. , Roche Martin William 
Published: May 2020

AbstractLarge-scale studies evaluating the effects of Parkinson's disease (PD) on primary total knee arthroplasty (TKA) are limited. The purpose of this study was to determine if PD patients undergoing primary TKA have increased: (1) medical complications; (2) implant-related complications; (3) readmission rates; and (4) costs. A query was performed using an administrative claims database. The study group consisted of all patients undergoing primary TKA who had a history of PD. Matched non-PD patients undergoing primary TKA served as a control group. The query yielded 72,326 patients (PD = 18,082; matching cohort = 54,244). Pearson's chi-square tests, logistic regression analyses, and Welch's t-tests were used to test for significance between the cohorts. Primary TKA patients who had PD were found to have greater incidences and odds of medical complications (4.21 vs. 1.24%; odds ratio [OR]: 3.50, 95% confidence interval [CI]: 3.15–3.89, p < 0.0001) and implant-related complications (5.09 vs. 3.15%; OR: 1.64, 95% CI: 1.51–1.79, p < 0.0001) compared with the matching cohort. Additionally, the rates and odds of 90-day readmission were higher (16.29 vs. 12.66%; OR:1.34, p < 0.0001) and episodes of care costs were significantly greater ($17,105.43 vs. $15,252.34, p < 0.0001) in patients who had PD. Results demonstrate that PD patients undergoing primary TKA had higher incidences of medical and implant-related complications. They also had increased 90-day readmission rates and costs compared with controls. The findings of this study should be used in risk stratification and should inform physician–patient discussion but should not be arbitrarily used to deny access to care.
Productive and morphological features of sheep determined by biophysical methods
Authors: Afanasyev M A , Skorykh L N , Kovalenko D V , Omarov A A 
Published: May 2020

Abstract
The main trend in sheep breeding is a steady increase in the volume of mutton production which determines the increasing demand for meat and wool. The development and application of effective methods for increasing and improving meat productivity is relevant. Biophysical methods used in animal husbandry is of interest. One of the methods is the impact of low-intensity laser radiation. Biophysical methods used in animal husbandry can activate biological reserves and realize the genetic potential of productive qualities. At the same time, it is necessary to consider morphological features of sheep exposed to low-frequency infrared laser radiation. The article studies quantitative and qualitative indices of meat productivity, the degree of internal organs development, and the chemical composition of muscle tissues. Intergroup differences in young sheep exposed to low-frequency laser radiation were found. Positive changes in the degree of internal organs and systems development in animals exposed to low-intensity infrared laser radiation were identified. They indicate the intensity of metabolic processes in the body, the positive productivity dynamics.
The determination of quantitative-temporal characteristics of attracting repair personnel in the event of mass failures in rural distribution electric networks
Authors: Efanov A V , Khorolsky V Y , Zhdanov V G , Bogatyrev N I , Bukreev A G 
Published: May 2020

Abstract
The paper considers the possibility of using a numerical solution of a system of differential equations describing a delay queuing system. At the same time, to determine the required number of repair personnel, a three-phase queuing system is used, each phase of which represents a certain stage of servicing the requirements for eliminating the failure. Such a system is used in case of mass failures in rural distribution electric networks, for example, in natural emergencies. The criterion for choosing the optimal number of repair personnel for each phase of a multiphase queuing system is not to exceed the specified service waiting time by a request, which is accepted at the level of 30% of the average service time for this phase. An algorithm has been developed that uses the results of a numerical solution of a system of differential equations describing a queuing system and allows determining the point in time when this criterion is violated. For a given point in time, the queuing system changes are an increase in the number of service personnel, and the queuing system is calculated with new parameters, but using the boundary conditions received from the previous queuing system. The developed algorithm has been implemented in software and results are obtained on the required number of repair personnel for the input parameters of the queuing system, obtained from the processing of statistical information on the operation of rural distribution electric networks.
Methods and results of research of the press extruder mixer-dosing unit
Authors: Konovalov V , Novikov V , Gretsov A , Mishanin A 
Published: May 2020

Abstract
The article describes the design and technological scheme of the press-extruder mixer-dosing unit. The research of the dosing device for feeding the initial mixture into the press extruder is given. The results of the experiment were obtained as a result of realization of the experimental research plan. The equations of regression, which allow to determine the possibility of changing the amount of feed of the initial mixture into the press extruder and the power consumption depending on the design and regime parameters of the dozer, are given. Results of processing of models of power consumption and productivity depending on design and regime parameters are presented in the form of two-dimensional sections. Based on the results of the research and their analysis, the following methods of metering capacity adjustment and energy saving trends were determined.
Multilayered destruction of a soil layer
Authors: Petunina I A , Rudnev S G 
Published: May 2020

Abstract
One of the main tasks of agriculture of the Russian Federation today and for the near future is transition to the modern economically effective technologies demanding the new approach to agriculture with application of modern scientific solutions and a new generation of agricultural machinery. The analysis of scientific research has shown that cultivation of grain crops to 40% of resource potential is for the technological process of processing of soil, and the share of machining of soil, for example, in wheat crop, is 14%. In a context of the previously mentioned, soil processing should be done to receive the necessary quality of processing, to reduce a power consumption, to increase development of cars. Optimum quality destruction of the soils, a demanded turn of a layer etc. is probably provided in advance, forcing a soil layer to move on the set trajectory on ploughshare-mouldboard surfaces, a plough or on ploughshare non-mouldboard tools. Thereupon carrying out profound scientific research of interaction of working bodies with soil for the purpose of modernisation and designing of such working bodies of soil-cultivating tools, which allow receiving the set agrotechnical indicators of processing of soil with the minimum expenses, is actual.
The pattern recognition problem solution using a convolutional neural network
Authors: Tokarev K E , Rogachev A F , Tokareva Yu M , Rudenko A Yu , Zelyakovskiy D V , Chernyavsky A N 
Published: May 2020

AbstractThe article deals with the issues of theoretical and applied modeling based on convolutional neural network in the field of agricultural production. In particular, the specificity of convolutional neural network is considered, its model, architecture and layers are presented. Possibilities of its use for the solution of problems of recognition and classification of images are revealed. In addition, it was found that the convolutional neural network differs from the usual perceptron in that each neural layer is not connected to all the neurons of the previous layer, but only to a part of it. In networks of this type, a small matrix is used for the convolution operation, which moves along the processed layer with a certain offset step. For the first layer, this matrix moves across the input image. After each shift, a signal is generated to activate the neuron of the next layer and from the corresponding position. As a result of studying the problems of image recognition using electronic computers, the possibilities of machine learning as a method of recognizing an object in an image that characterizes each object with a set of features are revealed. In addition, the author reveals the specifics of using the convolutional neural network mathematical apparatus as a model for image recognition, which consists in using an array of data describing the image and applying the method of error back propagation.
On estimation of cloudiness characteristics and parameters of DOAS retrieval from spectral measurements using a neural network
Authors: Postylyakov O V , Nikitin S V , Chulichkov AI , Borovski A N 
Published: May 2020

Abstract
Light scattering by clouds significantly affects the values associated with the content of NO2, H2CO and other small gases in the lower troposphere, which are obtained by the differential optical absorption spectroscopy (DOAS) technique. Since there are a large databases of optical observations of trace gases by DOAS technique that are not accompanied by other measurements of clouds, the development of approaches to the refinement of scattering characteristics and coefficients linking the DOAS slant column depth with the gas vertical content directly from spectral measurements remains an important task. The paper considers the tasks of determining the coefficient F used for transformation of the DOAS slant column depth of a gas to its vertical column from quantitates obtained from ZDOAS measurements (the O4 slant column, the color index, the absolute intensity, etc.). It was shown in numerical experiments that an algorithm based on a neural network can estimate the coefficient F in cloudy conditions. It looks like the better approach that two step estimation of this parameter using a neural network for estimation of cloud characteristics in the first step with the following radiative transfer simulation at the second step.
Classifying Wastes Using Random Forests, Gaussian Naïve Bayes, Support Vector Machine and Multilayer Perceptron
Authors: Hanbal Ibrahim F. , Ingosan Jeffrey S. , Oyam Neal Arden A. , Hu Yafeng 
Published: May 2020

Abstract
As the population of the Philippines increases in size, so does the amount of garbage that it generates. A lot of this garbage is not properly segregated when dumped andmany citizens are not aware of the effects of unsegregated garbage which leads to them simply disposing mixed waste in dump sites. A method to help classify garbage can help address this issue. This paper presents a comparison of the efficiency of four commonly used machine learning models, Random Forests, Gaussian Naïve Bayes, Support Vector Machines and Multilayer Perceptron in classifying biodegradable and non-biodegradable waste. The data used for training and testing was collected from various sources and then augmented to increase the size of the dataset resulting in 15,000 images of biodegradable and non-biodegradable trash used for training. The four models were trained using the K-Fold cross validation technique with the dataset being split ten times. The results indicate that the four models were able to achieve a relatively high accuracy in classifying images of biodegradable and non-biodegradable trash with the Random Forests, Gaussian Naïve Bayes, Support Vector Machines and Multilayer Perceptron models achieving an accuracy of 97.49%, 81.46%, 89.51% and 96.44% respectively.
Prediction of fatigue life of suspension parts of the semi-trailer in the early stages of design
Authors: Vdovin D , Levenkov Y , Chichekin I 
Published: May 2020

Abstract
Cargo delivery by trucks is a main method of transportation of goods to the cities and other places. Many goods are transported by articulated lorries. Thus, improving the design methods of the articulated lorries is relevant. Trailer suspension is the object under study. A fatigue life prediction of the trailer suspension components is a urgent task at the early stage of design concept development. The formation principles of the MBD model is essential in obtaining best results. In this paper two types of models are considered: containing only the rigid bodies; containing the flexible bodies. Research objective: the investigation of the effect of the load distribution that was obtained using different MBD models on the durability of suspension parts. A comparison of the results obtained using the different suspension models was performed. The research has shown that loads are reducedusing the flexible bodies in the MBD model. Using flexible bodies permits to specify the results of the durability analysis.
Mathematical modelling of torque vectoring differentials
Authors: Ankinovich G , Verzhbitski A , Antonyan A 
Published: May 2020

Abstract
Active safety systems which distribute forces between the wheels are an integral part of a modern vehicle. The vast majority of systems are based on the brake systems, and reducing engine power, which certainly reduces the vehicle speed. However, the needs of car owners are constantly changing, there is a need for devices capable of ensuring the distribution of traction between the wheels without having to reduce speed. With this task perfectly cope with the main transmission containing the mechanisms of power distribution (MPD). Power distribution mechanisms have a greater impact on vehicle handling. More often meet term, Torque Vectoring Differential (TVD). They began to be used for the first time since the mid-1990s, and found their application in sports cars, and then in executive cars. The described main gears are an integral part of dynamic stabilization systems. During the vehicle development, these systems are developed and investigated using mathematical modeling methods. Therefore, the paper describes the design, operation principle and kinematic design of the most common. The equations systems describing the dynamics of the links and the mechanism as a whole are also composed. The mathematical modeling of vehicles equipped with TVD is modelled.
Evaluation of Grounding System Values with Grid Type on 150 Kv in Batu Besar Substation, Batam
Authors: Ervianto E , Marpaung N L , Amri R , Zarniadi W 
Published: May 2020

Abstract
Generally, electrical fault occurs in substations, such as phase-to-ground short circuit. The fault currents flowing in Grounding System with Grid-Type can cause voltage gradient different on ground points around substation. The purpose of this study is to evaluate the Grounding System Values with Grid-Type whether meets standard, and protect somebody who is walking around substation or touching equipment stung of 150Kv electric in Batu-Besar Substation, Batam. Grounding System with Grid-Type needs to be evaluated every certain period to get Touch Voltage and Step Voltage that meet safety and security standard of IEEE Std 80-2013. The research method is to collect parameters ρ,ρs,hs,A,LT,h, which calculated using formula of Resistance Value, Touch Voltage, Step Voltage of Grounding System with Grid-Type. Then, analyzing and comparing of these data are performed based on results of calculation using the IEEE Std 80-2013. From results of this research, Resistance Value is 0.62Ω, 737.65V and 2,458.43V are Touch Voltage and Step Voltage of Grounding System Values with Grid-Type respectively, based on 0.5second interruption duration with somebody’s body weight of 50kg. The Evaluation results show that Grounding System Values with Grid-Type, meet the standard of IEEE Std 80-2013 for somebody who has weight 50kg in Batu-Besar Substation, Batam.
Structural Equation Modelling-Partial Least Square to Determine the Correlation of Factors Affecting Poverty in Indonesian Provinces
Authors: Ardi Noper , Isnayanti  
Published: May 2020

Abstract
Structural Equation Modelling (SEM) is a multivariate statistical technique to analyze the pattern of relationships between latent variables (unobserved) with indicator variables (observed). One aspect that can be solved by SEM is poverty. Poverty is a major problem in economic development in developing countries like Indonesia. The problem of poverty can also be seen from the dimensions of education and health. This research uses SEM model with Partial Least Square (PLS) approach on poverty data in all provinces in Indonesia based on 2015-2017 Badan Pusat Statistik (BPS) data with latent variables of poverty, education, economy, and health. The results show that there is an indicator of latent educational variables that must be excluded from the model because it has a loading factor value > 0.5. The results of the outer model evaluation with Convergent Validity, Composite Reliability (CR), and Average Variance Extracted (AVE) show significant and reliable values that mean the indicators used can explain latent variables well. The SEM-PLS inner model evaluation results can be known from the value of R-Square (R2) through the bootstrapping stage with 500 sample cases. R-square value for Economics is 0.751 means the model can explain variations of Economy in poverty cases in the Provinces of Indonesia at 75.1%, Education at 0.583 or 58.3% and the poverty model at 0.645 or 64.5%. The structural model for poverty cases in Indonesia in 2015-2017 is obtained Poverty = -0.548 Health - 0.085 Education + 0.128 Economy. The relationship of the poverty model shows that if poverty in Indonesia increases, the health of poor households and Education in Indonesia will decrease by 0.548 and 0.085 units respectively, whereas if poverty in Indonesia increases, the economy of poor households will increase by 0.128 assuming looking at the indicators that form latent economic variables.