bluuebunny/crossref_metadata_2025 huggingface dataset:
The formation of residual stresses in the bonding of automotive glass
Authors: Nosov Nikolay , Grishin Roman , Rodionov Vladimir , Ladyagin Roman
Published: November 2020

This article discusses the formation of residual stresses during the assembly of automotive glass. The influence of various parameters of the adhesive bead on the spatial deviations of glasses during their installation is shown. Currently, the glass assembly technology involves filling the gap between the automotive glass and the car body with a glue roller. It has been established that the formation of residual stresses is influenced by the width and thickness of the glue roll, with a minimum width of the glue roll during drying, a discontinuity of the glue joint along the contour is possible, and with a maximum width, unacceptable residual deformations occur in the glass, which lead to cracks.
X-ray spectral microanalysis of hardened additive products made of electroerosion cobalt-chromium alloys
Authors: Ageeva E.V. , Altukhov A.Yu. , Latypov R A. , Latypova G.R.
Published: November 2020

This article presents the results of an X-ray spectral microanalysis of cobalt-chromium alloys based on particles of the of the tungsten nickel iron alloy dispersed by electric erosion, obtained in alcohol. It has been experimentally proved that a part of oxygen is present in the cobalt-chromium alloy of particles of the cobalt-chromium-molybdenum alloy dispersed by electric erosion. All other elements are distributed relatively evenly over the volume of particles. It is shown that Co, Cr and Mo are the main elements of the (CoCrMo) alloy dispersed by electric erosion.
Determination of structure ordering parameters in subsurface layers of condensed state materials by AMD-methods
Authors: Kustov Alexander , Derkachev Igor , Miguel Irina , Kulakov Mikhail
Published: November 2020

The results of studies of solid-state materials using AMD-methods are presented. It is shown that, regardless of the type of structure of the studied materials and their nature, acoustic waves provide subsurface images. The proposed methods allow measuring the velocity of surface acoustic waves and their level of attenuation. These characteristics and acoustic images make it possible to evaluate the parameters of ordering the structure of subsurface layers of materials.
Study of the nickel-phosphorus coating structural-phase states
Authors: Shcherbakov Igor
Published: November 2020

The results of modeling a composite nickel-phosphorus coating obtained by chemical deposition are presented. The state of structural-phase disordering of the coating surface is considered. The analysis of possible structural states in the surface layers of the coating is carried out. A graph of Me atoms volume changes in phosphorus-containing compounds MexPy(Ме – Fe, Cr, Ni) and the maximum stability temperature NixPyis plotted depending on the composition. The idealized images of the projections of tetragonal and trigonal phosphorus-containing phases structures are constructed.
The porosity study of sintered products from electro-erosive materials of alloy Cr13, obtained in butyl alcohol
Authors: Khardikov S.V. , Novikov A.N. , Ageeva A.E.
Published: November 2020

The article presents the results of a study of the porosity of sintered products from alloy X13 electroerosive materials obtained in butyl alcohol. It is shown that when hardening electroerosive materials from alloy X13 by the method of spark plasma sintering, the porosity was 3.347%.
Thermodynamic modeling of composition and propereties of self-fluxing materials based on the nickel
Authors: Ilinykh Nina , Krivorigova Anastasia , Gelchinski Boris , Ilinykh Sergey , Kovalev Leonid
Published: November 2020

Self-fluxing nickel or cobalt-based alloys that use boron, phosphorus or silicon, as melting point depressants and fluxing agents are thermodynamic simulation of self-fluxing materials Ni-0.5C-15Cr-3.2Si-2B (PGSR-2) and Ni-1C-17Cr-4.1Si-3.6B (PGSR-4) was performed. As the software for simulation of phase and chemical equilibrium the TERRA software package was used. The simulation was carried out in the temperature range 300–3000 K at a total pressure P = 105Pa in an argon atmosphere. The temperature dependences of the equilibrium composition and thermodynamic characteristics (enthalpy, entropy, and Gibbs energy) of the alloys of the investigated systems were calculated. It is shown that Ni, Cr, C, Ni3B, Ni2B, NiB, Ni2Si, NiSi, CrB, CrSi can be formed in the condensed phase under equilibrium heating of PGSR-2. When PGSR-4 is heated in the condensed phase, along with the above components, Cr5B3, CrB2and Cr3C2compounds can be formed. The temperature dependences of the thermodynamic characteristics of the systems studied have kinks that can be explained by phase transformations.
Investigation of thermodynamic properties of single-layer two-component coatings
Authors: Vlasov Stanislav , Chikhranov Aleksey , Averyanov Aleksandr , Vlasova Valentina , Dolzhenko Yana
Published: November 2020

The results of studying the dynamics of disordered alloys by the method of collective variables are presented. The densities of phonon states of disordered alloys with BCC structure of the kxrb1-x system are calculated. The contribution of phonons to the free energy and entropy of the alloy at different temperatures is determined. It is shown that the contribution of phonons to the total free energy of the alloy decreases with decreasing temperature. The contribution of phonons to the entropy of alloys at 300 K is crucial.
Assembly conditions for mechanical systems with gear elements
Authors: Kurasov Dmitry
Published: November 2020

The article describes the general approach to compiling the assembly conditions of mechanical systems with toothed elements, in particular gear eccentric system (GES), and any toothed ones using the «toothed contours» method. Design dependencies constituting the engineering calculation algorithm are necessary for design and its technical use.
QFD methodology development
Authors: Loginova Elena , Ostapenko Maria
Published: November 2020

The QFD methodology is a quality tool that helps businesses transform consumer requirements into product specifications. It is necessary to understand the method applicability when working with this methodology, as well as the economic activity areas which the methodology is already using. It is necessary in order to make it easier to adapt the methodology to product/service.
Investigation magnetorheological elastomer elastic deformations under the influence of vibration and electromagnetic load
Authors: Minaev Andrey , Korovkin Juri , Valiev Hammat , Stepanov Gennady , Borin Dmitry
Published: November 2020

Experimental studies of the magnetorheological elastomer dynamic properties under the influence of vibrations and magnetic fields have been carried out. Amplitude-frequency characteristics of these composites were studied. The computational modeling was made and a device for creation and control of magnetoactive composite movements was developed. The interrelation of the obtained characteristics with the materials microstructure features was deduced.
Multiobjective optimization in ERP system design
Authors: Feofanov Alexander , Baranov Nikolay
Published: November 2020

Practically in any real situation, there are several goals that can contradict each other. So many tasks solved by ERP system have more than one criterion. And also, it is very important to use multiobjective optimization methods, which allow for information about the decision maker’s preferences.
Dynamic vibration absorber for shaft machining
Authors: Drachev Oleg , Turbin Igor , Amirdzhanova Irina , Varentsova Tatyana , Petrova Veronika
Published: November 2020

The article is concerned with a new method that minimizes the vibration level of non-rigid axisymmetric parts on lathes. A schematic diagram of the vibration absorber control path is given. Its configuration is changing due to fictitious elastic stiffness parameters, as well as damping and the part–support subsystem weight. A functional dual circuit diagram of an automatic vibration level control system for non-rigid shafts machining is presented and its working principle is described
Transfer of Cubic Boron Nitride Grinding Wheel Wear Products to the Nickel Alloy Surface
Authors: Nosenko Vladimir A. , Fetisov Aleksandr V. , Kuznesov Semen P.
Published: November 2020

The article summarizes the results of microscopic and x-ray spectral studies of objects embedded in the surface layer of a nickel alloy after grinding with a wheel of cubic boron nitride (CBN) on a ceramic bond. In the introduction, the authors analyzes the results of research on the use of CBN as an abrasive material. Unlike silicon carbide wheels, CBN tools are a more complex and multi-component structure, which has a significant impact on the self-sharpening of the abrasive tool and the transfer of material. The purpose of this article is to detect and identify the wear products of a CBN grinding wheel on the treated surface of a nickel alloy. As a result of studying the morphology of the alloy surface after grinding with CBN wheels, foreign objects embedded in the metal were detected with a scanning two-beam electron microscope. The chemical composition of the objects was studied by x-ray spectral microanalysis. Based on the obtained spectrograms, the objects were divided into three groups, including peaks of x-ray characteristic radiation: boron and nitrogen characteristic of CBN grains; aluminum and oxygen characteristic of corundum; oxygen, silicon, aluminum, and some elements characteristic of a ceramic bond. Tables of the chemical composition of the studied objects are provided. Conclusions. The transfer of CBN grinding whee wear products from to the treated surface is experimentally proved.
Study of change in 300 MW power unit efficiency operation under reduced loads
Authors: Malykov Aleksey , Babushkin Aleksey , Naginaev Kirill , Kinash Ludmila , Kalashnikov Artem
Published: November 2020

The article presents the results of the study of technical and economic parameters of power unit’s operation under reduced turbine generator loading, related to the night power dip and wear of power plant units. Changes in fuel consumption under reduced loading, change in power unit efficiency and change in main specific characteristics of the power unit were investigated. Conclusions on the 300 MW power unit’s operation modes under different turbo-generator loads were drawn based on the results of the calculations and investigations.
Adhesion strength of protective and decorative coatings depending on the porosity of the cement substrate
Authors: Loganina Valentina , Saedi Bassam Shareef Denied Al
Published: November 2020

Information provided about long-term bonding strength protective decorative coatings. A method is proposed for assessing the long- term bonding strength of coatings. The method consists in determining the bonding strength before testing and after t hours of testing. The dependence of the long-term bonding strength on the porosity of the cement substrate has been established. With an increase in the surface porosity of the substrate, observed a decrease in the time of maintaining the adhesive contact “coating-substrate». The aging process of coatings is considered from the position accumulation of damage, taking into account the hereditary factor. The influence of the hereditary factor on the kinetics of damage accumulation was established. It is shown that the dependence of the operating time on the level of damage accumulation can be approximated by an exponential dependence. The values of the activation energy of adhesive destruction of coatings are calculated.
Modelling the behavior of fiber-reinforced concrete with low-modulus fibers under load
Authors: Pukharenko Yury V. , Panteleev Dmitrii A. , Zhavoronkov Mikhail I. , Kostrikin Maxim P. , Mujtaba Eshanzada Said
Published: November 2020

In this work was carried out a study the purpose of which was the development of physical and mechanical modeling of the processes of deformation and destruction of fiber-reinforced concrete. The process of deformation and the mechanism of destruction of fiber-reinforced concrete reinforced with low-modulus polypropylene fibers have been investigated. The method has been improved and the characteristic of adhesion of polypropylene fiber to the matrix has been determined. Theoretical models for forecasting the behavior of fiber-reinforced concrete reinforced with polypropylene fiber under load have been developed.
Compressive strength of lightweight expanded polystyrene basalt fiber concrete
Authors: Okolnikova Galina , Abass Saad Lina , Haidar Majeed M. , Abdullah Al-shaibani Fouad adnan noman
Published: November 2020

The ability of concrete to give a lower weight and retain good properties for strength is very important concrete structures. Lightweight concrete is known for its brittleness hence the strengthening of the concrete with dispersed chopped fiber is necessary. The addition of dispersed chopped fiber in polystyrene concrete to check the effect of the fiber this concrete the main objective of this paper. The experimental method of research was used in this research paper after a proper review of previous works by other researchers were done. 42 grams of fiber were added in the concrete mix of each composition. The results of this research show a noticeable effect of fiber in the lightweight expanded polystyrene concrete. The concrete without fiber showed the best compressive strength followed by the concrete with dispersed polypropylene fiber.
Assessment and forecast of technological requirement for flax harvesting machinery with conditional coefficients
Authors: Lavrov Aleksandr , Moskovskiy Maksim , Boiko Andrey , Godunova Lyudmila , Ngia Dat Hoang
Published: November 2020

As a result of the analysis of the production and status of the fleet of flax harvesting machinery, negative problems with the machines of farms of different types were revealed. The extensive statistical material on the dynamics of changes in flax production indicators has been generalized. Conditional (reference) coefficients have been investigated and refined. The technological need for specialized flax harvesting equipment and its forecast for meeting Russia’s demand for flax fiber have been determined.
To the question of the value of sharpening of the corners of working bodies of agricultural machines. Justification. Influence on the quality of work
Authors: Belousov Sergey V.
Published: November 2020

The paper highlights the influence of the angle of sharpening of tillage working bodies and their theoretical justification. The work is of a research nature, expressed in the fact that a theoretical analysis of the method of determining the angle of sharpening of tillage working bodies by their degree of wear is given. The type of construction is proposed and described. As a result of this work, the angle of sharpening of the working bodies and the influence of wear on the traction resistance of the blade plough are theoretically proved. The conclusions present the main results achieved so far.
Die Wirkung unserer Hände – Chad E. Cook über die Manuelle Therapie
Authors: Cook Chad E.
Published: November 2020

Hinter der Manuellen Therapie stehen seit jeher zahlreiche philosophische Ansätze. Heute nimmt man an, dass sie insbesondere bei schmerzadaptiven Patienten wirkt, die das eigene Schmerzempfinden selbst modulieren können. Der Artikel erörtert die Evidenz in Bezug auf Manuelle Therapie und liefert theoretische Begründungen für die Veränderungen, die man im klinischen Umfeld bei Patienten beobachtet.
Gesundes Gewebe kräftigen – Tendinopathien der unteren Extremität
Authors: Garlich Christian
Published: November 2020

Die Korrelation zwischen Schmerz und pathologischer Veränderung ist bei Tendinopathien nachgewiesenermaßen sehr schwach. Eine australische Studie stellte schon 2016 fest, dass pathologische Sehnen mehr gesundes Sehnengewebe als normale Sehnen aufweisen und Verbesserungen im Bild nicht darstellbar sein können. Christian Garlich fasst die therapeutische Konsequenz zusammen.
Neuroimmunological Aspects in Glaucoma
Authors: Hohberger Bettina
Published: November 2020

Glaucoma pathogenesis hast still to be elucidated. Next to its main risk factor, an increased intraocular pressure, an e.g. altered biomechanics of the lamina cribrosa, oxidative stress-mediated changes and glutatmate toxicity are involved in this multifactorial pathophysiology. Recent experimental studies and clinical findings suggest an involvement of the immune system in glaucoma. This review will give an overview of the different immunologic aspects being involved in glaucoma pathogenesis.
Myelodysplastische Syndrome
Authors: Schroeder Thomas , Rautenberg Christina , Germing Ulrich
Published: November 2020

Myelodysplastische Syndrome (MDS) umfassen klonale Stammzellerkrankungen, die mit Dysplasiezeichen, zytogenetischen und molekulargenetischen Veränderungen sowie zum Teil mit einem erhöhten Blastenanteil einhergehen. Die Patienten weisen vor allem klinische Zeichen der hämatopoietischen Insuffizienz, insbesondere Anämiesymptome, auf. Eine exakte und umfassende Diagnostik ist zur Diagnosestellung unerlässlich. Die Prognose wird durch das Progressionsrisiko in eine akute myeloische Leukämie, sowie von zytopeniebedingten Komplikationen und patienteneigenen Faktoren wie Alter und Komorbiditäten beeinflusst. Scores wie das revidierte International Prognostic Scoring System (IPSS-R) dienen der Prognoseabschätzung und somit der risikoadaptierten Therapieplanung. Niedrigrisiko-Patienten werden mit supportiven Maßnahmen wie Transfusionen, Erythropoietin, Lenalidomid bei del(5q) und Eisenchelation behandelt. Die Therapie der Hochrisikopatienten zielt auf die Verlängerung der Lebenserwartung ab und beinhaltet, wenn immer möglich, die allogene Stammzelltransplantation in kurativer Intention und die Gabe von 5-Azacitidine in palliativer Intention. Für die Mehrheit der Patienten steht aber keine zugelassene Therapie zur Verfügung, weshalb diese Patienten in klinischen Studien behandelt werden sollten. Luspatercept wird vermutlich in Kürze eine Zulassung bekommen.
Myeloproliferative Neoplasien (MPN)
Authors: Kricheldorf Kim , Brümmendorf Tim H. , Koschmieder Steffen
Published: November 2020

Als „Myeloproliferative Neoplasien“ (MPN) werden eine Gruppe verschiedener maligner chronischer Erkrankungen der blutbildenden (Stamm-)Zellen des Knochenmarkes bezeichnet. Kennzeichnend für dieses Krankheitsbild ist eine gesteigerte Produktion von Erythrozyten, Leukozyten und/oder Thrombozyten. Der klinische Verlauf geht oft mit einer (Hepato-) Splenomegalie und mit für die Patienten oft quälenden Symptomen wie aquagenem Pruritus (Juckreiz nach Kontakt mit Wasser, z. B. nach dem Duschen), Fatigue oder Nachtschweiß einher. Komplikationen und Gründe für eine gesteigerte Mortalität sind typischerweise thromboembolische und Blutungsereignisse, der Übergang in eine (dann sekundäre) Myelofibrose oder in eine akute myeloische Leukämie, welche in Analogie zur Chronischen myeloischen Leukämie (CML) auch Blastenschub genannt wird 1.

Mithilfe standardisierter Diagnosekriterien 1 und definierter Therapieleitlinien (siehe u. a. DGHO Leitlinien 3–5 sowie Leitlinien des European LeukemiaNet 6, 7 können die MPN-Erkrankungen mittlerweile gut eingeordnet und behandelt werden. Für die Abschätzung der Prognose und des klinischen „Outcome“ sind eine detaillierte Aufnahme der Krankengeschichte, des klinischen Untersuchungsbefundes, des hämatologischen, molekular- und zytogenetischen Status und eine Knochenmarkuntersuchung erforderlich. Auf deren Grundlage wird eine Therapieentscheidung unter Einbeziehung detaillierter, MPN-subtypenspezifischer Risiko-Scores getroffen 8–11.

Die Diagnostik, Therapie und Versorgung von Patienten mit MPN ist mitunter sehr komplex und erfordert die Behandlung durch einen versierten Hämatologen/Onkologen. Die Therapieziele können in Abhängigkeit vom Alter des Patienten, dessen Komorbiditäten und der persönlichen Disposition individuell stark variieren, je nachdem, ob die Verhinderung der oben genannten Komplikationen, die Symptomlinderung oder die kurative Intention im Vordergrund steht. Dementsprechend reichen die therapeutischen Optionen von „watchful waiting“ über Aderlässe und Thrombozytenaggregationshemmung bis hin zum Einsatz von zytoreduktiven Medikamenten oder einer allogenen Stammzelltransplantation. Eine Liste erfahrener MPN-Zentren und weitere Informationen finden sich auf der Website der German Study Group for MPN (GSG-MPN): https://www.cto-im3.de/gsgmpn/. Hier werden Ärzten und Patienten auch Informationen über die Möglichkeit einer Teilnahme am deutschen GSG-MPN-Bioregister und/oder einer klinischen Studie geboten.
The Impact of COVID-19 on the Treatment of Craniomaxillofacial Trauma and Head and Neck Infections
Authors: Levites Heather A. , Quinley Nathaniel L. , Powers David B.
Published: November 2020

There is no shortage of news, information, and guidelines with regards to novel coronavirus (COVID-19). However, there is none yet that is specific to the treatment of patients who have sustained trauma or active head and neck infections—frequently encountered from oropharyngeal sources such as peritonsillar abscess or odontogenic infections. The COVID outbreak has not diminished the incidence of these conditions, and in fact has exacerbated access to care by the closing of urgent care treatment centers as well as private dental offices. The purpose of this article is to outline a protocol to protect health care providers in the provision of this care for at-risk patient populations.
Phylogeographical patterns of Cnesterodon decemmaculatus populations at different geographic scales in Buenos Aires province: possible implications for its use as a bioindicator species
Authors: Byrne María Soledad , Bianco Patricia Mercedes , Campos Liria Belén , Ossana Natalia Alejandra , Ferrari Lucrecia , Túnez Juan Ignacio
Published: November 2020

Cnesterodon decemmaculatus, which is a freshwater fish abundant in the Pampean region of Argentina, is used as a bioindicator of the status of watercourses throughout its distribution area. This work aimed to (1) evaluate the genetic diversity and population structure of C. decemmaculatus from two river basins in north-eastern Buenos Aires province, Argentina, (2) assess a possible association between genetic structure and the geographical distribution of river basins, including in the analysis data of populations from the south of the province, and (3) validate the use of the species as a bioindicator of the ecological status of watercourses in north-eastern Buenos Aires province. The analysis of a 700-bp fragment of the mitochondrial DNA control region showed moderate to high levels of genetic diversity and lack of genetic structure between the north-eastern basins, validating the use of this species as a bioindicator. Significant differences in genetic structure were found among basins at a regional scale. The lack of genetic structure between the north-eastern basins may result from historical and current events, whereas genetic differences between the north-eastern and southern basins may be explained by the absence of physical connections between them.
Speech evoked potentials in cochlear implant recipients with auditory neuropathy spectrum disorder
Authors: Nassar Adel Abdel Maksoud , Hassan Dalia Mohammed , Younis Amal , Abdel Rahman Tayseer Taha
Published: November 2020

Purpose

Cochlear implantation (CI) is now recognised as the most possible approach to help ANSD patients in improving their capability in hearing and speech communication. Because there are no reliable methods in clinical practice to identify the exact lesion site and mechanisms for a certain ANSD patient, the efficacy of CI is difficult to predict before surgery. This study was done to study speech ABR and CAEP P1 in ANSD subjects fitted with CIs and to compare results of both tests in ANSD versus SNHL subjects fitted with unilateral CIs, then correlate between both tests in both types of hearing loss.

Method

The current study was a case-control study, conducted on a total number of 45 subjects who were classified into three groups (one control and two study groups). The control group comprised 16 subjects with normal peripheral hearing sensitivity (NH group) who were age matched to both study groups. The study group comprised 29 children who underwent cochlear implantation. The study group were subdivided according to preoperative diagnosis of the type of their hearing loss into two groups (a group of children with sensorineural hearing loss; SNHL-CI) and (a group of children with Auditory neuropathy spectrum disorder; ANSD-CI). Both study groups were subjected to detailed history taking, aided warble-tone sound field audiometry, Speech-evoked potentials (P1 & ABR) and Questionnaire.

Results

There were statistically significant differences between the control group and both study subgroups regarding the P1 latencies. While; there were no statistically significant differences between {SNHL-CI group &ANSD-CI}. S-ABR waves were detected in 100% of control group, 75% of SNHL-CI group and 53.8% of ANSD-CI group. Sound-field S-ABR measured in the CI recipients indicated statistically significant delayed latencies than in the NH group. In addition, these results demonstrated that the frequency following response peak amplitude was significantly higher in CI recipients, than in the NH counterparts. Finally, the neural phase locking was significantly higher in CI recipients.

Conclusion

The findings of sound-field S-ABR demonstrated that CI recipients have neural encoding deficits in temporal and spectral domains at the brainstem level; therefore, the sound-field S-ABR can be considered an efficient clinical procedure to assess the speech processing in CI recipients.
Entanglement in first excited states of some many-body quantum spin systems: indication of quantum phase transition in finite size systems
Authors: Biswas George , Biswas Anindya
Published: November 2020

We compute concurrence, a measure of bipartite entanglement, of the first excited state of the 1-D Heisenberg frustrated J
1-J
2 spin-chain and observe a sudden change in the entanglement of the eigen state near the coupling strength α = J
2/J
1 ≈ 0.241, where a quantum phase transition from spin-fluid phase to dimer phase has been previously reported. We numerically observe this phenomena for spin-chain with 8 sites to 16 sites, and the value of α at which the change in entanglement is observed, asymptotically tends to a value α

c
 ≈ 0.24116. We have calculated the finite-size scaling exponents for spin chains with even and odd spins. It may be noted that bipartite as well as multipartite entanglement measures applied on the ground state of the system, fail to detect any quantum phase transition from the gapless to the gapped phase in the 1-D Heisenberg frustrated J
1-J
2 spin-chain. Furthermore, we measure bipartite entanglement of first excited states for other spin models like 2-D Heisenberg J
1-J
2 model and Shastry-Sutherland model and find similar indications of quantum phase transitions.
Equilibrium and scattering properties of a nonlocal three-soliton molecule in Bose–Einstein condensates with competing nonlinearities
Authors: Elhadj Khelifa Mohammed , Boudjemâa Abdelâali
Published: November 2020

We carry out numerical and variational investigation of equilibrium and scattering properties of a bright three-soliton molecule in Bose–Einstein condensates with competing local and nonlocal nonlinearities in one-dimensional geometry. Our model predicts that the degree of the nonlocality and the soliton phase may strongly affect the binding energy and the soliton width. We show that the interaction of three solitons depends on their separation distance and on their relative phase. The scattering properties of these composite nonlinear structures by Gaussian potential barrier are analyzed variationally and numerically. It is found that stable transmission and reflection where the molecular structure is preserved can occur only for a specific barrier height and soliton velocity.
Average intensity of astigmatic hyperbolic sinusoidal Gaussian beam propagating in oceanic turbulence
Authors: Bayraktar Mert
Published: November 2020

We derive the received intensity of astigmatic hyperbolic sinusoidal Gaussian(AHSG) beam propagating through oceanic turbulence. Huygens–Fresnel integral is evaluated to reach the expression at the receiver side. Effect of variations on turbulence parameters such as the rate of dissipation of the mean square temperature, the rate of dissipation of the turbulent kinetic energy per unit mass of fluid, and relative strength of the temperature and salinity fluctuations are examined. We observe that beam has a view having rings at close range but beam evolves into circular shape at a short/long distance depending on the parameters of oceanic turbulence. This evolution occurs faster when the rate of dissipation of the mean square temperature raises. We hope that our results will be used in underwater communication, imaging or range measurement applications.
The impact of ATLAS and CMS single differential top-quark pair measurements at

TeV on CTEQ-TEA PDFs *
Authors: Kadir Musajan , Ablat Alim , Dulat Sayipjamal , Hou Tie-Jiun , Sitiwaldi Ibrahim
Published: November 2020

By applying the Error PDF Updating Method, we analyze the impact of the absolute and normalized single differential cross-sections for top-quark pair production data from the ATLAS and CMS experiments at the Large Hadron Collider, at a center-of-mass energy of

TeV, on the CT14HERA2 PDFs. We find that the top quark pair single differential distributions provide minor constraints on the CT14HERA2 gluon PDF when the nominal CT14HERA2 inclusive jet production data are included in the fit. Larger constraints on the gluon distribution are present when the jet data are removed (CT14HERA2mJ) and/or when increased weights are given to the top data in the CT14HERA2 fits. The weighted

data provide significant constraints on the CT14HERA2mJ gluon PDF, which are comparable to those obtained from inclusive jet production data. Furthermore, we examine the top quark mass sensitivity of the top-quark pair single differential distributions.
Disentangling feature and lazy training in deep neural networks
Authors: Geiger Mario , Spigler Stefano , Jacot Arthur , Wyart Matthieu
Published: November 2020

Two distinct limits for deep learning have been derived as the network width h → ∞, depending on how the weights of the last layer scale with h. In the neural tangent Kernel (NTK) limit, the dynamics becomes linear in the weights and is described by a frozen kernel Θ (the NTK). By contrast, in the mean-field limit, the dynamics can be expressed in terms of the distribution of the parameters associated with a neuron, that follows a partial differential equation. In this work we consider deep networks where the weights in the last layer scale as αh
−1/2 at initialization. By varying α and h, we probe the crossover between the two limits. We observe two the previously identified regimes of ‘lazy training’ and ‘feature training’. In the lazy-training regime, the dynamics is almost linear and the NTK barely changes after initialization. The feature-training regime includes the mean-field formulation as a limiting case and is characterized by a kernel that evolves in time, and thus learns some features. We perform numerical experiments on MNIST, Fashion-MNIST, EMNIST and CIFAR10 and consider various architectures. We find that: (i) the two regimes are separated by an α* that scales as

1

h

. (ii) Network architecture and data structure play an important role in determining which regime is better: in our tests, fully-connected networks perform generally better in the lazy-training regime, unlike convolutional networks. (iii) In both regimes, the fluctuations δF induced on the learned function by initial conditions decay as

δ
F
∼
1
/

h

, leading to a performance that increases with h. The same improvement can also be obtained at an intermediate width by ensemble-averaging several networks that are trained independently. (iv) In the feature-training regime we identify a time scale

t

1

∼

h

α

, such that for t ≪ t
1 the dynamics is linear. At t ∼ t
1, the output has grown by a magnitude

h

and the changes of the tangent kernel | |ΔΘ| | become significant. Ultimately, it follows

|

|
Δ
Θ
|

|
∼

(

h

α

)

−
a

for ReLU and Softplus activation functions, with a < 2 and a → 2 as depth grows. We provide scaling arguments supporting these findings.
Thermodynamic asymmetries in dual-temperature Brownian dynamics
Authors: Tyagi Neha , Cherayil Binny J
Published: November 2020

Recent work by Cerasoli et al (2018 Phys. Rev. E 98 042149) on a two-dimensional model of biased Brownian gyrators driven in part by temperature differences along distinct Cartesian axes, x and y, has revealed interesting asymmetries in the steady-state distribution of particle positions. These asymmetries are said to be reminiscent of the more conventional asymmetries associated with the fluctuation theorems of far-from-equilibrium thermodynamics. In the present paper, working within a path integral formalism, we derive the exact time-dependent propagator of this same 2D dual-temperature system, and show that it does in fact also satisfy several conventional fluctuation theorems, including the Crooks relation, the Jarzynski equality, the detailed fluctuation theorem, and the integral fluctuation theorem. For these theorems to be satisfied, however, we find that a parameter that we identify as an ‘effective temperature’ must bear a definite relation to the two temperatures that control particle dynamics in the x and y directions. This effective temperature turns out to be the harmonic mean of two analogous temperatures introduced by Cerasoli et al.
Exploration of Cloud Computing Resource Pool Virtualization Technology and Implementation Methods
Authors: Yang Wenyan
Published: November 2020

With the advancement of technology, people’s lifestyles have undergone essential changes. Especially the cloud computing technology that has appeared in recent years, has gradually become a hot Internet technology after several years of development. This article summarizes the virtualization technology used in cloud computing resource pools from the perspective of cloud computing applications. The author not only unifies the division and functions of the resource pool, but also unifies the resource pool combination deployment and its related software. This paper not only adds some applications that are conducive to the unification of resource pools, but also discusses the implementation of cloud computing resource pools.
RETRACTED: Evaluation of Interior Design Schemes Based on Artificial Intelligence Processing Technology
Authors: Zhang Yanxia
Published: November 2020

This article analyzes the necessity of evaluating interior design schemes. The content of this article includes timely discovering the shortcomings of the plan, improving the comprehensive benefits brought by the plan, and reducing the appearance of construction changes. The composition combines the basic concepts and development of artificial intelligence processing technology, and studies the construction principles of artificial intelligence processing technology in a clear system. The author studied how to evaluate the content of the indicators, the integration of energy-saving function indicators, the calculation of the weights of different indicators, and the objective evaluation of specific application functions in the test plan. The author’s purpose is to improve the reliability of the evaluation results of the interior design plan and speed up the progress of the later plan implementation.
Indoor Parking Method Based on Cooperation of Intelligent Vehicle and Parking Lot
Authors: Zhang Jiwei , Chen Baiguo , Yu Ling Ling , Cen Ming
Published: November 2020

This paper designs an intelligent vehicle-parking lot cooperative indoor parking system architecture and a multi-vision sensor-based indoor vehicle detection and localization method to solve parking problems in large parking lots. The system consists of a parking lot sensor group, a parking lot server, and an intelligent vehicle terminal. The communication between the intelligent vehicle terminal and the parking lot is established through V2X technology. Sensors and parking lot servers are deployed in the parking lot to complete indoor vehicle positioning and parking space management. The intelligent vehicle terminal initiates parking/leaving requests and positioning requests to the parking lot. The parking lot server provides the parking lot real-time map, parking space information and localization information to the intelligent vehicle terminal, so as to complete the parking navigation or automatic parking in the indoor parking scene through the cooperation of the intelligent vehicle terminal and the parking lot. This paper verifies the effectiveness of the method and system developed in this paper through real parking scene experiments.
Application of AHP-GWO-SVM coupling model in landslide warning
Authors: Tian Wencai , Li Qing , Li Fenglin
Published: November 2020

In recent years, landslides have become more frequent under the influence of human damage. In order to reduce the loss, improve the accuracy of landslide prediction, we can analyze the data through Analytic Hierarchy Process (AHP) algorithm, then build a Support Vector Machine (SVM) model and optimize the SVM model by Gray Wolf Optimizer (GWO) algorithm. The experimental results show that the model established by GWO and SVM after the AHP method is accurate, and the predicted results are in good agreement with the actual results. Compared with single SVM, it has higher accuracy and better results, and is more suitable for multivariable complex nonlinear landslide warning.
RETRACTED: Optimization Strategy of Computer Automatic Control System Based on Artificial Intelligence
Authors: Zhu JiaDong
Published: November 2020

The computer automatic control system of artificial intelligence is an important technology which has developed with the development of economy and technology in recent years, and this technology has shown a very important position in all walks of life in our country, especially in the development of the industry, the computer automatic control system of artificial intelligence can not only help to improve the operating efficiency of equipment in the enterprise, but also help to protect the safety of the relevant staff. In recent years, computer control system has become a very important part of modern information system on the support of artificial intelligence technology, its optimization and progress for China’s social development is very important. This paper briefly analyzes the optimization strategy of computer automatic control system based on artificial intelligence, aiming to provide help and reference for relevant personnel in China.[1]
Evaluation of attack capability of UAV intelligent swarm based on AHP Fuzzy Evaluation
Authors: Han Yueming , Fang Dan , Zhang Hongyan , Li Yuan
Published: November 2020

In order to evaluate the attack ability of UAV intelligent swarm, the evaluation index system of UAV intelligent swarm attack capability is established, the factors influencing the attack capability of UAV intelligent swarm are analyzed, the capability evaluation model is established, and the weight of each factor is determined by AHP, and finally the effectiveness index is evaluated by fuzzy evaluation matrix [1]. The results show that the evaluation results are objective and reasonable, which can provide theoretical reference for the optimal design and use of UAV intelligent swarm system.
Social insurance management depends on the development of computer information technology
Authors: Zhou Yu
Published: November 2020

With the rapid development of economy and science and technology, the application of computer information technology in all walks of life has become more and more extensive. As an important security system, social insurance is an important part of residents’ security in China. With the rapid development of economy and science and technology, the application of computer information technology in all walks of life has become more and more extensive, This paper briefly introduces the necessity and principle of the construction of social insurance management information system, and discusses the measures of effective application of computer information technology in social insurance management, so as to give full play to the role of computer information technology, optimize the social insurance management system, and realize the information management of social insurance, so as to meet the needs of modern social insurance management. It is of great significance for students and social development and progress.
Fine grained sentiment analysis based on Bert
Authors: Chen Chao , Hu Xiaoli , Zhang Huibing , Shou Zhaoyu
Published: November 2020

The fine-grained sentiment mining based on online review data is helpful to analyze user pain points and improve user experience and business marketing. A fine-grained sentiment analysis model based on Bert is proposed. Commodity feature words and emotion words are extracted by dependency parsing; the polarity of emotion was analyzed by the combination of Bert and emotional words; through the corresponding emotional polarity of feature words, we can get the emotional tendency of commodity features. The experimental results in movie review data set and film review data set show that, the accuracy and F1 value of Bert with feature words and emotional words were 94.67% and 94.55%, which were better than other models.
Multi-Agent Reinforcement Learning based on Value Distribution
Authors: Li Ruiqun , Wang Ruobing , Tian Tao , Jia Fukai , Zheng Zhong
Published: November 2020

Reinforcement learning in a multi-agent setting is very important for real-world applications, but it brings more challenges than those in a single-agent environment. In the multi-agent setting, the agent generally has a bias of overestimation on the value function. In our work, we pay attention to the issue of overestimation bias with continuous actions in the multi-agent learning environment. We propose a method to reduce this bias by adopting the distributional perspective on reinforcement learning. We combine it within the framework of off-policy learning Actor-Critic and propose a novel approach Multi-Agent Deep Distributional Deterministic Policy Gradient (MAD3PG). We empirically evaluate it in three competitive and cooperative multi-agent settings. Our results show that in a series of difficult motor tasks the agents trained by MAD3PG significantly outperforms existing benchmark.
Deep matrix factorization based on self-attention mechanism for student grade prediction
Authors: Guo Zongxin , Liu Tieyuan , Chang Liang , Gu Tianlong
Published: November 2020

Deep learning is gradually emerging in the field of educational data mining. Aiming at student grade prediction in education data mining, a prediction model combining self-attention mechanism and deep matrix factorization (ADMFN) is proposed. It can quickly extract important features of sparse data and process complex nonlinear data. Firstly, the student and course vector corresponding to the score matrix are input into the model and projected to obtain the potential feature vector of the student (course). Then, the potential feature vectors of students (courses) are added into the self-attention mechanism to construct a multi-layer perceptron network. Finally, by constructing a bilinear pooling layer, the output vectors of rows and columns are fused to obtain the predicted value of the score. We compare the existing recommendation system baselines to evaluate our model. The experimental results show that the proposed model is effective in real dataset.
Short-term load forecasting based on LSTM-RF-SVM combined model
Authors: Wei Wei , Jing Huang
Published: November 2020

Aiming at the problem of low accuracy of single model forecasting power load, a combined LSTM-RF-SVM prediction model based on Long Short-Term Memory network (LSTM), Random Forest (RF) and Support Vector Machine (SVM) is designed. Firstly, the preprocessed load data, meteorological data and date data are input into the three models according to the sliding time window. The prediction results of each model are obtained through training. Then the optimal weighted combination method is uesd to calculate the weight coefficients of the three models in the prediction results. Finally, the final prediction results are obtained by integrating the weight coefficients. Experimental results show that compared with other methods, the established forecasting model improves the accuracy of short-term load forecasting.
Forecasting the railway freight volume in China based on combined PSO-LSTM model
Authors: Qiu Yue-Ying , Zhang Qiong , Lei Ming
Published: November 2020

Considering the shortcomings of the current railway freight volume prediction model, this paper proposes a railway freight volume forecasting model based on PSO-LSTM. LSTM can learn long-span nonlinear time series effectively, and it is highly efficient in training forecasting of railway freight volume data. In order to improve the accuracy of parameter selection, PSO is used to optimize neural network model. The simulation results show that the PSO-LSTM model proposed has lower prediction error and higher prediction accuracy than the traditional LSTM model GA-LSTM model. This indicates that this model is an effective prediction model for railway freight volume.
Decision Boundary Extraction of Classifiers
Authors: Gong Ningyuan , Wang Zixiong , Chen Shuangmin , Liu Guozhu , Xin Shiqing
Published: November 2020

In the field of machine learning, explicitly extracting the decision boundary of a classifier not only helps to visualize the differences between different classifiers, but also provides a more convenient way to determine the class of a sample. We proposed a boundary extraction method that relies on the output result of the classifier but not on the classifier mechanism. We find the initial decision boundary based on Voronoi diagram, and then take the smoothness and simplicity as the driving goal, adaptively adjust the shape of the boundary until convergence. In order to verify the effectiveness and usefulness of the algorithm, the decision boundaries generated by four different classifiers, ANN, SVM, Random Forest, and ELM, were visualized on the four data sets, the classification accuracy is also analyzed based on the extracted decision boundaries. The test results show that the visualization results of decision boundaries and the classification accuracy based on explicit decision boundaries are highly consistent with the classification accuracy of the classifier, which can simulate the decision mechanism of the classifier well.
Automatic detection for calcium leaching of dam concrete based on DeepLabv3+
Authors: Zhang Jun , Luo Mang , Li Changsen , Mei Hao
Published: November 2020

Long-termly resistance to upstream water, dam concrete is prone to calcium leaching. It will lead to lesions of the concrete and gradual attenuation of strength, impermeability and frost resistance, thus reducing the durability and service life of the structure and even threatening the safe operation of the dam. At present, the concrete leached calcium is mainly checked by the workforce, but it is time-consuming, inefficient, and hard to quantitatively evaluate, such as the area of leached calcium. A semantic segmentation method based on the DeepLabv3+ with ResNet50v2 backbone is proposed to identify the calcium leaching of dam concrete automatically. The calcium-leached concrete data set is established, including 94 high-resolution images in dam corridors to verify the method. The results indicated that the DeepLabv3+ model finally reaches 0.72 mIoU on the test set, which is a practical way to detect calcium leaching of dam concrete.