Восходящий поток с переменным гидродинамическим режимом применительно к переработке кислых никельсодержащих растворов

По мере выработки месторождений происходит снижение среднего содержания никеля в сырье, что ведет к увеличению себестоимости товарного никеля. Особенно остро это отражается на предприятиях Урала, работающих на окисленных никелевых рудах, где среднее содержание никеля в рудах на уровне 1 %. Окисленные никелевые руды считаются необогатимыми, поэтому переработка их весьма затратная и сильно зависит от рыночной стоимости кокса и стоимости товарного никеля. Поэтому при снижении рыночной стоимости никеля предприятия Урала по переработки окисленных никелевых руд работают в убыток или вынуждены временно приостанавливать производство. Для удовлетворения спроса никеля необходим переход к более совершенному использованию вторичного сырья и техногенных образований. Более рационален способ переработки вторичного сырья с возвратом в туже отрасль где и образовался отход производства. Т.е. сплавы и стали перерабатывать пирометаллургическими способами с получением компактного никеля или ферроникеля с возвратом в производство сталей и сплавов. А техногенные образования, представленные химическими соединениями никеля, карбонаты, гидроксиды, сульфаты и др., перерабатывать гидрометаллургическими методами с получением востребованных продуктов.Программа развития УрФУ на 2013 год (п.1.2.2.3

Electro-acoustic transducers on the basis of thin PZT-films

In the present work PZT-type thin films have been obtained by RF sputtering and electroacoustic transducers characterized by high sensitivity (t), wide range of measured relative deformations (q) and high working frequencies (w) were built. Polycrystalline ferroelectric thin films with the perovskite type structure and chemical composition Pb(Zro.33Tio.4sWo.oiCdo.oi)03 have been fabricated by RF sputtering. The films exhibited slightly lower values of dielectric constant, residual polarization and piezoelectric coefficient </33 = 80 x 10“12 C/N, as compared with the ceramics of the same chemical composition. The thin films keep such a value of du up to the Curie point. On the basis of the PZT-type thin films the isotropic and anisotropic piezoelectric sensors were built and investigated. The electrical signal of the isotropic sensors is proportional to the sum of the main components of the relative deformation tensor whereas the signal of the anisotropic sensors depends on the angle between the sensor axis and the main axis of the deformation tensor of the sample under investigation. The sensors are characterized by high stability of the generated signal

Problem of buildup of literary scholar's scientific sense

© Medwell Journals, 2015. The study deals with different aspects of buildup of literary scholar' scientific sense and demonstrates this problem with the help of several examples. The researchers reveal connections between a scientist and a surrounding context in different form of its expression. The researchers analyze factors influencing, among other things, modern perception of scientific viewpoint of a literary scholar. At first, the authors study general regularities of scientist's world view buildup. They single out several concrete factors, among which there are historical context, literary studies school influence, national specificity, peculiarities of a scientist's personality (e.g., religiosity, education etc.). Particularly, they present how literary studies as a field of science depend on a specific era's ideology. The researchers provide examples of such interaction both in XIX-XX centuries and today. They postulate sequence and repetitiveness of general principles of development of this dependence

Machine Learning for Understanding and Predicting Injuries in Football

Attempts to better understand the relationship between training and competition load and injury in football are essential for helping to understand adaptation to training programmes, assessing fatigue and recovery, and minimising the risk of injury and illness. To this end, technological advancements have enabled the collection of multiple points of data for use in analysis and injury prediction. The full breadth of available data has, however, only recently begun to be explored using suitable statistical methods. Advances in automatic and interactive data analysis with the help of machine learning are now being used to better establish the intricacies of the player load and injury relationship. In this article, we examine this recent research, describing the analyses and algorithms used, reporting the key findings, and comparing model fit. To date, the vast array of variables used in analysis as proxy indicators of player load, alongside differences in approach to key aspects of data treatment—such as response to data imbalance, model fitting, and a lack of multi-season data—limit a systematic evaluation of findings and the drawing of a unified conclusion. If, however, the limitations of current studies can be addressed, machine learning has much to offer the field and could in future provide solutions to the training load and injury paradox through enhanced and systematic analysis of athlete data

Concentration phase diagram of Ba(x)Sr(1-x)TiO3 solid solutions

Method of derivation of phenomenological thermodynamic potential of solid solutions is proposed in which the interaction of the order parameters of constituents is introduced through the account of elastic strain due to misfit of the lattice parameters of the end-members. The validity of the method is demonstrated for Ba(x)Sr(1-x)TiO3 system being a typical example of ferroelectric solid solution. Its phase diagram is determined using experimental data for the coefficients in the phenomenological potentials of SrTiO3 and BaTiO3. In the phase diagram of the Ba(x)Sr(1-x)TiO3 system for small Ba concentration, there are a tricritical point and two multiphase points one of which is associated with up to 6 possible phases.Comment: 8 pages, 3 figure

A multi-season machine learning approach to examine the training load and injury relationship in professional soccer

OBJECTIVES: The purpose of this study was to use machine learning to examine the relationship between training load and soccer injury with a multi-season dataset from one English Premier League club. METHODS: Participants were 35 male professional soccer players (aged 25.79±3.75 years, range 18–37 years; height 1.80±0.07 m, range 1.63–1.95 m; weight 80.70±6.78 kg, range 66.03–93.70 kg), with data collected from the 2014–2015 season until the 2018–2019 season. A total of 106 training loads variables (40 GPS data, 6 personal information, 14 physical data, 4 psychological data and 14 ACWR, 14 MSWR and 14 EWMA data) were examined in relation to 133 non-contact injuries, with a high imbalance ratio of 0.013. RESULTS: XGBoost and Artificial Neural Network were implemented to train the machine learning models using four and a half seasons’ data, with the developed models subsequently tested on the following half season’s data. During the first four and a half seasons, there were 341 injuries; during the next half season there were 37 injuries. To interpret and visualize the output of each model and the contribution of each feature (i.e., training load) towards the model, we used the Shapley Additive Explanations (SHAP) approach. Of 37 injuries, XGBoost correctly predicted 26 injuries, with recall and precision of 73% and 10% respectively. Artificial Neural Network correctly predicted 28 injuries, with recall and precision of 77% and 13% respectively. In the model using Artificial Neural Network (the relatively more accurate model), last injury area and weight appeared to be the most important features contributing to the prediction of injury. CONCLUSIONS: This was the first study of its kind to use Artificial Neural Network and a multi-season dataset for injury prediction. Our results demonstrate the potential to predict injuries with high recall, thereby identifying most of the injury cases, albeit, due to high class imbalance, precision suffered. This approach to using machine learning provides potentially valuable insights for soccer organizations and practitioners when monitoring load injuries

Nutrient Deficiency Correction in Ovarian Cancer Patients Following Surgical Treatment: a Clinical Case

Background. According to some studies, nutrient deficiencies reach an over-70% prevalence in ovarian cancer, among other gynaecological malignancies, thus constituting an important risk factor for postoperative mortality, surgical complications and longer hospital stays. Therefore, effective nutrient deficiency correction methods are warranted to improve the ovarian cancer outcomes, especially in patients following radical surgical interventions. New systematic evidence emerges in literature on the impact of such novel methods on the critical status of variant-category patients. Meanwhile, such evidence bears a recommendatory value only, with no current standard or protocol assumed for nutrient deficiency management. This issue presently remains open and requires careful research and analysis.Materials and methods. The clinical case demonstrates the efficacy of nutrient deficiency correction in an ovarian cancer patient following an individualised radical surgery.Results and discussion. The energy supplied on day 1 was &gt;42%, &gt;83% on day 3, and the target values had been achieved by day 7 of intensive therapy. The nutrient deficiency marker dynamics revealed the growth of transferrin, triglycerides and peripheral blood lymphocyte counts as early as by day 3 post-surgery. Albumin was the latest to respond, increasing only on day 7.Conclusion. The introduction of novel nutrition strategies and knowledge of their impact depend on further high-quality research, especially prospective studies, incorporating a  greater homogeneity of intervention types and clinical outcomes, as well as wider sampling of female ovarian cancer

Corporoplasty in Peyronie’s Disease: a Literature Review

Corporoplasty is urological correction surgery for penile deviation that causes copulatory dysfunction or aesthetic discomfort. Penile deviation can be congenital or acquired (Peyronie’s disease, penile fracture). Congenital penile deviation is relatively rare and manifests in the curvature of erect penis ventrally and/or laterally, in most cases. According to many studies, patients with curvatures of 30° or more eventually seek surgical treatment. Congenital curvature may be mistaken for Peyronie’s disease for similar manifestations that, however, differ in aetiology and pathophysiology. Excisional, incisional corporoplasty or plication are commonly engaged to treat congenital curvatures, in various techniques and modifications. Augmentation transplantation (grafting) and penile prosthesis implantation with variant deviation treatment options are the usual practice in Peyronie’s disease. Unequivocal judgment of pros and cons in any particular technique is nevertheless implausible to make. This article aims to review current trends, protocols and their relative advantages in corporoplasty