bluuebunny/crossref_metadata_2025_split huggingface dataset:
Designing an on-board computer for an armored personnel carrier
Authors: Kostarev S N , Goryachev S N , Miromanov D V , Sereda T G , Kochetova O V 
Published: June 2021

Abstract
Timely and accurate solution of the tasks facing the Russian Guard is impossible without a good state of military equipment. The Kupol monitoring system used by the Russian Guard is intended only for monitoring the location of mobile objects using GLONASS / GPS satellite navigation systems, for transmitting navigation information over mobile radio communication networks. Currently, the condition of the armored personnel carrier (BTR-80) is monitored periodically, in accordance with the maintenance regulations. However, the condition of an individual vehicle may differ from the average armored personnel carrier, and therefore it became necessary to re-equip the BTR-80 with an on-board computer that accurately diagnoses the wear (serviceability) of equipment and the combat capability of the vehicle’s units. There is a functional connection between the structural parameters and the parameters of the output processes, due to which, according to the parameters of the latter, it is possible to adequately assess the technical state of military equipment (unit), as well as the quality of its work. The nominal parameters of the structural parameters correspond to the nominal parameters of the parameters of the output processes. As the technical state of military equipment (unit) shifts to the worse, the parameters of the output processes can increase (fuel consumption, vibration) or decrease (oil pressure in the engine). The designed monitoring systems of the BTR-80 are grouped by the type of tasks performed or the drive mechanism: engine and transmission, radio communication, electrical equipment, pneumatic systems, hydraulics, and others. The design of the on-board computer is performed on a programmable logic device using the international standard IEC61131-3. The simulation of the relay-contact circuit showed positive results.
Analysis of causes of failures of process equipment of oil refining and petrochemistry
Authors: Vakulenko M V , Zharinova N V , Zabaturin A M 
Published: June 2021

Abstract
The development of modern industry is associated with an increase in the total scale of production and processing of fire and explosion hazardous and toxic materials, a significant increase in the single capacity of plants and apparatus, and a complication of technologies and regimes for managing the production process. As a result, there is a steady trend in industry to increase the number of accidents with increasingly severe social, environmental and economic consequences. Despite significant efforts in the development of technical safety systems, accident rates (number of accidents or injuries per unit of production) in our country have increased significantly in recent years. The most dangerous situation has developed in the oil refineries of Bashkiria, Samara, Irkutsk and Perm regions where the depreciation depreciation of some technological equipment is 70%. Thus, safety is one of the main characteristics of industrial facilities.
Selecting laser fluorosensor detection band to monitor oil pipeline leaks
Authors: Fedotov Yu V , Belov M L , Kravtsov D A , Titarenko K S , Gorodnichev V A 
Published: June 2021

Abstract
Detection bands of the laser fluorosensor to detect oil pipeline leaks have been studied at the fluorescence excitation wavelength 355 nm. It is shown that a diversity of the fluorescence spectra of different oils and plant species leads to the need to adapt the number and position of spectral detection bands of the laser fluorosensor for the specific types of the pipeline oil and vegetation along the pipe way. With no interfering factors (that emerge false alarms) to monitor along the pipe way, only one spectral channel (at maximum position of the oil fluorescence spectrum) can be used. However, there can be a need to use both the two spectral channels (the channel 1 at maximum position of the oil fluorescence spectrum, and the channel 2 at maximum position of the vegetation fluorescence spectrum within ∼ 680…690 nm or ∼ 730…740 nm) and the tree spectral channels (the channel 1 at maximum position of the oil fluorescence spectrum, the channel 2 at maximum position of the vegetation fluorescence spectrum within ∼680…690 nm or ∼ 730…740 nm, and the channel 3 in the spectral band of 625-650 nm).
Innovative technologies in the production of curd
Authors: Alekseeva Y A , Ts Garmaev D , Khoroshailo T A , Serdyuchenko I V 
Published: June 2021

Abstract
At the moment, the Russian Federation has mastered various methods of making dairy products. Cottage cheese is considered one of the most beloved goods of the population. This is explained not only by its taste, but also by its nutritional and bioavailability. Future progress in the production of cottage cheese must be achieved both through the introduction of comprehensive mechanization and automation of production processes, and through the use of investments for the technical reequipment of equipment and the installation of new lines. During the reconstruction and modernization of production facilities, mainly automated lines of manufacturing plants from Germany, Denmark, Poland, Bulgaria are installed. At some factories, work continues on the lines for the production of acid curd Ya9-OPT (Russia). In this regard, it is important to improve the existing and create new equipment for the production of curd and curd products. Along with the development of new methods for the production of curd and curd products, in order to increase their competitiveness, it is quite reasonable to use technologies with a closed method of conducting the process, i.e. it is necessary to exclude the influence of the human factor on a complex technological process. For the successful sale of products, it is necessary to expand the range of cottage cheese products, improve their quality and price competitiveness, develop production with a high proportion of prepackaged and packaged products with a design that meets consumer demand. It is necessary to increase the degree of factory readiness of products for direct consumption.
A roller for soil cultivation and its optimal operating parameters in vibration mode
Authors: Maslov Gennady , Tsybulevsky Valery , Tazmeev Bulat , Rudnev Sergey 
Published: June 2021

Abstract
The optimal parameters and operating modes of vibratory roller for soil compaction after sowing winter wheat were substantiated. For objective function - the optimum coefficient of variation of density of soil during operation of vibratory roller for compacting winter wheat regression equation was obtained in the planning according to the BK plan of the experiment. The adequacy of model according to Fisher criterion, the significance and reliability of coefficients of regression equation was established. The response surface obtained by the shape of hyperboloid rotation was studied, two-dimensional sections of three factors were constructed on optimization criterion. With its minimum value, the optimal parameters of vibratory roller were established: the mass of roller is 293 kg, the spring stiffness is 11.95 kN/m, the working speed of roller is 9.6 km/h. The minimum value of optimization criterion is 10.43%.
A planetary mill modelling in chaotic mode
Authors: Kalnitsky V S , Rusakov O V , Sergeenkov V E 
Published: June 2021

Abstract
Consider a random walk in a regular m-polygon inscribed in the unit circle. The movement of the point to a randomly selected vertex determines the new position of the point. The point passes a prescribed distance and stops. For such a process, there is a limit distribution of the probabilities of the position of the point. This algorithm was used for modelling different processes. Now we apply it for high-energy ball milling. The impact frequency spatial distribution calculated with the stochastic model simulation has coincided with the distribution predicted by the distinct element method. The real granulometric analysis also can be explained by the model.
Designing a mobile medical expert system using the Yandex.Alice voice assistant
Authors: Markushin E M , Ognegin K E , Polskaya P S , Shinkaruk A , Yakimov S P 
Published: June 2021

Abstract
Solving the problem of making a primary diagnosis in the absence or shortage of qualified doctors. The main task is to reduce the risk of incorrect assessment of the health status of people who do not have the opportunity to receive prompt qualified medical advice and assistance. We offer a project solution – Alice’s skill (voice assistant from Yandex) “Pocket Doctor” with a voice interface, which is a diagnostic expert system containing rules for logical inference based on symptoms, the assessment of which does not require special laboratory tests and can be performed by people who do not have a medical education. Based on the collected information from the user, the primary diagnosis and recommendations for emergency medical care are determined.
Adaptive microwave heating control for oily waste processing
Authors: Kadyrov R R 
Published: June 2021

Abstract
Processing of petrochemical industry wastes involves the development of specific technologies and devices that require a significant investment of resources and time. To solve these problems, it is possible to develop universal technological, constructive, and managerial solutions capable of ensuring the adaptation of equipment to different raw materials, mode of operation, and yield of target products. The proposed reactor with a microwave effect on the catalyst and oil-containing raw materials with adaptive power control of the magnetron. Adaptive management is necessary because of the instability of the physicochemical characteristics of the raw materials. Adaptive control system takes into account the real state of the system and provides the necessary control. The advantage of the proposed method is that the entire algorithm is implemented in software, that is, for the introduction of this method of adaptive control does not require a change in the design of technological equipment. The implementation of this method comes down to the development of a special adaptive control driver. This approach greatly simplifies the adjustment of adaptive control systems for the considered processes of catalytic cracking, hydrocracking, visbreaking, coking.
Recent advances in active sites identification and new M−N−C catalysts development towards ORR
Authors: Xu Mingjun , Ge Junjie , Liu Changpeng , Xing Wei 
Published: June 2021

Abstract
The M–N–C catalysts are considered potential alternative to Pt-based catalysts for the oxygen reduction reaction (ORR) due to its low cost and promising electrocatalytic performance. However, the catalysts are yet to become truly applicable in terms of activity and stability, and addressing such issues necessitate for indepth understanding in the structure performance relationship, which is remain elusive to date. Herein, we summarize our research progress achieved on M–N–C catalysts in recent years. Firstly, we successfully synthesized atomically dispersed Fe–N–C catalysts and conducted a detailed in-situ spectroscopy study, where the high spin D2 states of FeN4 is found to be an active species. Subsequently, in order to address the catalyst utilization and the overall activity of the catalysts, we carried out studies in increasing the active site density through regulating the microstructure of the catalysts. Finally and most importantly, in order to address the intrinsic activity of the catalysts, we carried work in developing new active centers of the M–N–C catalysts, where the new single or dual center catalysts were developed. Some of these centers are able to increase the stability of the catalysts, where the Fenton reaction is largely alleviated, resulting in both enhanced catalytic activity and stability. We hope that as the research continues, commercially available high performance and high stability M–N–C catalysts may eventually be realized.
Room temperature ammonia vapour detection on hBN flakes
Authors: Matsoso Boitumelo J , Garcia-Martinez Clara , Mongwe Thomas H , Toury Bérangère , Serbena José P M , Journet Catherine 
Published: June 2021

Abstract
The chemical vapour sensing behaviour of pristine and variously modified hexagonal boron nitride (hBN) nanostructures was investigated towards the polar protic analyte in the form of ammonia. Morphological characterization with TEM revealed formation of well-define shaped and crystal sized hBN flakes (2.9 ± 0. 7 µm to 3.3 ± 0.3 µm) by using a low temperature and atmospheric pressure modified polymer derived ceramics (PDCs) route. Room temperature chemical sensing studies showed that the hBN-based devices were sensitive to ammonia, at sensitivity values of 2.8 × 10−2 ppm−1 for the pristine hBN flakes, and 2.0 × 10−2 ppm−1, 2.4 × 10−2 ppm−1, 2.1 × 10−2 ppm−1 for the 2.5, 5 and 10 wt.% BaF2 modified hBN flakes, respectively. On the contrary, improvement in structure for the 5 wt.% BaF2 modified hBN flakes had detrimental influence on the detection performance of ammonia, as evidenced by the poor LoD value of 49.7 ppm, in comparison to 1.1, 2.4 and 1.7 ppm for the pristine, 2.5, and 10 wt.% BaF2 modified hBN flakes, respectively. The improved sensing performance was attributed to the presence of nitrogen vacancies generated during the modification process, as well as the presence of impurities. Indeed, the values measured were higher than those reported for other 2D nanomaterial based sensors. This study demonstrates the critical role played by structural properties on the surface chemistry in the ammonia sensing properties of hBN flakes. Generally, the study highlighted the potential application of hBN nanostructured materials for detection of ammonia vapours at room temperature.
Pharmacy technicians, supporting our past, shaping our future: Implementing an ASHP-ACPE–accredited pharmacy technician training program in an academic medical center
Authors: Pereda Mariel C , Goffman David , Parker Sharee’ , Polat Nigjar , Kozakiewicz Janet M 
Published: June 2021

Abstract

Purpose
Pharmacy technician training and education vary depending on practice site and state law. Although technician certification provides a national standard for credentialing, not all states require it, making certification a voluntary process for technicians or the organizations employing them. As the role of the pharmacist has evolved, the need for highly trained pharmacy technicians has grown. The pharmacy technician’s expanded role in specialized areas of pharmacy practice has created new opportunities that require advanced training.

Summary
Research is lacking on return on investment for workforce development programs, making it difficult to advocate for pharmacy technician training programs. Therefore, it is important to create internal metrics that link one’s program to business performance. This begins with conducting a job market analysis for the geographic area. It is imperative to identify the current occupational outlook for pharmacy technicians, identifying areas with potential for growth as well as where there are shortages or high turnover. Successful development of an American Society of Health-System Pharmacists (ASHP) and Accreditation Council for Pharmacy Education (ACPE)–accredited pharmacy technician program requires a long-term strategy to address key market issues as well as social and economic barriers and financial data to secure funding.

Conclusion
This case study details Yale New Haven Hospital’s journey from proof of concept to implementation of an ASHP-ACPE–accredited pharmacy technician training program.
False colour photography reveals the complexity of flower signalling. A Commentary on: ‘A bee’s eye view of remarkable floral colour patterns in the Southwest Australian biodiversity hotspot revealed by false colour photography’
Authors: Garcia Jair E , Dyer Adrian G 
Published: June 2021

This article comments on:
Klaus Lunau, Daniela Scaccabarozzi, Larissa Willing and Kingsley Dixon, A bee’s eye view of remarkable floral colour patterns in the Southwest Australian biodiversity hotspot revealed by false colour photography’, Annals of Botany, Volume 128, Issue 7, 2 December 2021, Pages 821–824 https://doi.org/10.1093/aob/mcab088
Self-renewal and differentiation of rat epididymal basal cells using a novel in vitro organoid model
Authors: Pinel Laurie , Cyr Daniel G 
Published: June 2021

AbstractThe epididymis is composed of a pseudostratified epithelium that is comprised of various cell types. Studies have shown that rat basal cells share common properties with adult stem cells and begin to differentiate in vitro in response to fibroblast growth factor and 5α-dihydrotestosterone. The characterization of rat basal cells is therefore necessary to fully understand the role of these cells. The objectives of this study were to assess the ability of single basal cells to develop organoids and to assess their ability to self-renew and differentiate in vitro. We isolated basal cells from the rat epididymis and established three-dimensional cell cultures from the basal and nonbasal cell fractions. Organoids were formed by single adult epididymal basal cells. Organoids were dissociated into single basal cells, which were able to reform new organoids, and were maintained over 10 generations. Long-term culture of organoids revealed that these cells could be differentiated into cells expressing the principal cell markers aquaporin 9 and cystic fibrosis transmembrane conductance regulator. Electron microscopy demonstrated that organoids were composed of several polarized cell types displaying microvilli and the ability to form tight junctions. Additionally, organoids could be formed by basal cells from either the proximal or distal region of the epididymis and are able to secrete clusterin, a protein implicated in the maturation of spermatozoa. These data indicate that rat basal cells can be used to derive epididymal organoids and further support that notion that these may represent a stem cell population in the epididymis.
Efficient Bernoulli factory Markov chain Monte Carlo for intractable posteriors
Authors: Vats D , Gonçalves F B , Łatuszyński K , Roberts G O 
Published: June 2021

Summary
Accept-reject-based Markov chain Monte Carlo algorithms have traditionally utilized acceptance probabilities that can be explicitly written as a function of the ratio of the target density at the two contested points. This feature is rendered almost useless in Bayesian posteriors with unknown functional forms. We introduce a new family of Markov chain Monte Carlo acceptance probabilities that has the distinguishing feature of not being a function of the ratio of the target density at the two points. We present two stable Bernoulli factories that generate events within this class of acceptance probabilities. The efficiency of our methods relies on obtaining reasonable local upper or lower bounds on the target density, and we present two classes of problems where such bounds are viable: Bayesian inference for diffusions, and Markov chain Monte Carlo on constrained spaces. The resulting portkey Barker’s algorithms are exact and computationally more efficient that the current state of the art.
Artificial intelligence in the management and treatment of burns: a systematic review
Authors: E Moura Francisco Serra , Amin Kavit , Ekwobi Chidi 
Published: June 2021

Abstract

Background
Artificial intelligence (AI) is an innovative field with potential for improving burn care. This article provides an updated review on machine learning in burn care and discusses future challenges and the role of healthcare professionals in the successful implementation of AI technologies.

Methods
A systematic search was carried out on MEDLINE, Embase and PubMed databases for English-language articles studying machine learning in burns. Articles were reviewed quantitatively and qualitatively for clinical applications, key features, algorithms, outcomes and validation methods.

Results
A total of 46 observational studies were included for review. Assessment of burn depth (n = 26), support vector machines (n = 19) and 10-fold cross-validation (n = 11) were the most common application, algorithm and validation tool used, respectively.

Conclusion
AI should be incorporated into clinical practice as an adjunct to the experienced burns provider once direct comparative analysis to current gold standards outlining its benefits and risks have been studied. Future considerations must include the development of a burn-specific common framework. Authors should use common validation tools to allow for effective comparisons. Level I/II evidence is required to produce robust proof about clinical and economic impacts.
Low-Intensity Pulsed Ultrasound Enhances Neurotrophic Factors and Alleviates Neuroinflammation in a Rat Model of Parkinson’s Disease
Authors: Sung Chen-Yu , Chiang Pai-Kai , Tsai Che-Wen , Yang Feng-Yi 
Published: June 2021

Abstract
Low-intensity pulsed ultrasound (LIPUS) has also been reported to improve behavioral functions in Parkinson’s disease (PD) animal models; however, the effect of LIPUS stimulation on the neurotrophic factors and neuroinflammation has not yet been addressed. PD rat model was built by injection of 6-hydroxydopamine (6-OHDA) in 2 sites in the right striatum. The levels of neurotrophic factors and lipocalin-2 (LCN2)-induced neuroinflammation were quantified using a western blot. Rotational test and cylinder test were conducted biweekly for 8 weeks. When the 6-OHDA + LIPUS and 6-OHDA groups were compared, the locomotor function of the 6-OHDA + LIPUS rats was significantly improved. After LIPUS stimulation, the tyrosine hydroxylase staining density was significantly increased in the striatum and substantia nigra pars compacta (SNpc) of lesioned rats. Unilateral LIPUS stimulation did not increase brain-derived neurotrophic factor in the striatum and SNpc of lesioned rats. In contrast, unilateral LIPUS stimulation increased glial cell line-derived neurotrophic factor (GDNF) protein 1.98-fold unilaterally in the SNpc. Additionally, LCN2-induced neuroinflammation can be attenuated following LIPUS stimulation. Our data indicated that LIPUS stimulation may be a potential therapeutic tool against PD via enhancement of GDNF level and inhibition of inflammatory responses in the SNpc of the brain.