bluuebunny/crossref_metadata_2025_split huggingface dataset:
INSPIRE: INvestigating Stellar Population In RElics
Authors: Spiniello C. , Tortora C. , D’Ago G. , Coccato L. , La Barbera F. , Ferré-Mateu A. , Napolitano N. R. , Spavone M. , Scognamiglio D. , Arnaboldi M. , Gallazzi A. , Hunt L. , Moehler S. , Radovich M. , Zibetti S. 
Published: November 2020

Context. Massive elliptical galaxies are thought to form through a two-phase process. At early times (z >  2), an intense and fast starburst forms blue and disk-dominated galaxies. After quenching, the remaining structures become red, compact, and massive (i.e. red nuggets). Then, a time-extended second phase, which is dominated by mergers, causes structural evolution and size growth. Given the stochastic nature of mergers, a small fraction of red nuggets survive, without any interaction, massive and compact until today: these are relic galaxies. Since this fraction depends on the processes dominating the size growth, counting relics at low-z is a valuable way of disentangling between different galaxy evolution models.
Aims. In this paper, we introduce the INvestigating Stellar Population In RElics (INSPIRE) Project, which aims to spectroscopically confirm and fully characterise a large number of relics at 0.1 <  z <  0.5. We focus here on the first results based on a pilot study targeting three systems, representative of the whole sample.
Methods. For these three candidates, we extracted 1D optical spectra over an aperture of r = 0.40″, which comprises ∼30% of the galaxies’ light, and we obtained the line-of-sight integrated stellar velocity and velocity dispersion. We also inferred the stellar [α/Fe] abundance from line-index measurements and mass-weighted age and metallicity from full-spectral fitting with single stellar population models.
Results. Two galaxies have large integrated stellar velocity dispersion values (σ⋆ ∼ 250 km s−1), confirming their massive nature. They are populated by stars with super-solar metallicity and [α/Fe]. Both objects have formed ≥80% of their stellar mass within a short (∼0.5−1.0 Gyr) initial star formation episode occurred only ∼1 Gyr after the Big Bang. The third galaxy has a more extended star formation history and a lower velocity dispersion. Thus we confirm two out of three candidates as relics.
Conclusions. This paper is the first step towards assembling the final INSPIRE catalogue that will set stringent lower limits on the number density of relics at z <  0.5, thus constituting a benchmark for cosmological simulations, and their predictions on number densities, sizes, masses, and dynamical characteristics of these objects.
Neuroimmunological Aspects in Glaucoma
Authors: Hohberger Bettina 
Published: November 2020

AbstractGlaucoma 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

ZUSAMMENFASSUNGMyelodysplastische 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

ZUSAMMENFASSUNGAls „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

AbstractThere 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.
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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]