bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrolytic Cleaning and Regenerative Therapy of Peri-implantitis in the Esthetic Area: A Case Report
Authors: Gianfreda Francesco , Punzo Andrea , Pistilli Valeria , Bollero Patrizio , Cervino Gabriele , D'Amico Cesare , Cairo Francesco , Cicciù Marco 
Published: July 2022

AbstractImplantology represents the gold standard in oral rehabilitation. Unfortunately, a new pathology begins to show itself to clinicians that no longer affects only and solely the supporting tissues of the tooth but also dental implants and peri-implantitis. In this study, we present a case report regarding a tissue regeneration maneuver involving dental implants. The clinical and radiographic results are encouraging, regarding the use of these techniques on implant surfaces. Surely, the advent of new biomaterials and surgical techniques will make this practice safe and predictable.
Meat production traits of Angora goats. 2. Meat quality characteristics and fatty acid composition of meat from intact and castrated kids
Authors: Erol Halil , Ünal Necmettin 
Published: July 2022

Context In Turkey, meat production contributes much more income than mohair production in Angora goat farming. Castration is expected to alter the meat quality depending on the slaughter weight. Aims This study was designed to determine the quality characteristics and fatty acid composition of meat from intact and castrated male Angora goat kids slaughtered at different liveweights. Methods Forty-eight single male Angora goat kids (24 intact, 24 castrated) were slaughtered at three slaughter weights (20, 25 and 30 kg) after being fattened intensively. Response variables were meat physical quality characteristics, chemical composition, total cholesterol and fatty acid profile. Data were subjected to analysis of variance using the general linear model procedure. Key results Colour parameters (L*, a*, b*, C* and H*), pH, water-holding capacity and cooking loss were significantly (P < 0.001) influenced by time post-slaughter. Castration did not affect (P > 0.05) these properties. L* values decreased (P < 0.001) as slaughter weight increased. With increasing slaughter weight, meat expressed less water and cooking losses were higher (P < 0.001). Warner–Bratzler shear force increased (P < 0.05) with slaughter weight. Castration affected meat chemical composition: moisture percentage decreased (P < 0.001), and protein and fat increased (P < 0.01). Similarly, protein and fat contents of the meat increased and moisture decreased with increasing slaughter weight (P < 0.001). With increasing slaughter weight, intramuscular fat of the longissimus thoracis muscle showed increased polyunsaturated fatty acids (P < 0.01) and ratios of polyunsaturated/saturated fatty acids (P < 0.001) and n-6/n-3 (P < 0.05), and decreased thrombogenic and atherogenic indexes (P < 0.001). Total unsaturated/saturated fatty acid ratio was higher and atherogenic index lower following castration (P < 0.05). Conclusions Castration of Angora male kids did not affect meat quality, but increased protein and intramuscular fat content of the longissimus thoracis muscle. Increasing slaughter weight positively influenced fatty acid composition pertinent to human health, but some measures indicated poorer meat quality. Implications Castration and slaughter weight did not greatly affect meat quality except for improvements in fatty acid percentages.
Space-time propagation of photon pulses in dielectric media, illustrations with beam splitters
Authors: Federico M , Dorier V , Guérin S , Jauslin H R 
Published: July 2022

Abstract
Photons are the elementary quantum excitations of the electromagnetic field. Quantization is usually constructed on the basis of an expansion in eigenmodes, in the form of plane waves. Since they form a basis, other electromagnetic configurations can be constructed by linear combinations. In this presentation we discuss a formulation constructed in the general formalism of bosonic Fock space, in which the quantum excitation can be constructed directly on localized pulses of arbitrary shape. Although the two formulations are essentially equivalent, the direct formulation in terms of pulses has some conceptual and practical advantages, which we illustrate with some examples. The first one is the passage of a single photon pulse through a beam splitter. The analysis of this formulation in terms of pulses in Fock space shows that there is no need to introduce ‘vacuum fluctuations entering through the unused port’, as is often done in the literature. Another example is the Hong–Ou–Mandel effect. It is described as a time dependent process in the Schrödinger representation in Fock space. The analysis shows explicitly how the two essential ingredients of the Hong–Ou–Mandel effect are the same shape of the pulses and the bosonic nature of photons. This formulation shows that all the phenomena involving linear quantum optical devices can be described and calculated on the basis of the time dependent solution of the corresponding classical Maxwell’s equations for pulses, from which the quantum dynamics in Fock space can be immediately constructed.
Magnetohydrodynamic modeling and simulation of a vacuum arc plasma jet with a ring anode under different external magnetic fields
Authors: Zhang Zhefeng , Wang Lijun , Yang Ze , Chen Jieli , Gao Hexiao 
Published: July 2022

Abstract
Supersonic plasma has been widely used. A vacuum arc ion source provides one possible method for generating supersonic plasma. An external magnetic field can effectively avoid the wall loss of the plasma in the ion source and improve the ion yield. In this work, a two-dimensional magnetohydrodynamic model is established, considering different components including ions and electrons. With the help of simulation, we explore the physical characteristics of the supersonic vacuum arc plasma formed from a copper disk cathode. The characteristics that we focus on include plasma composition, current density distribution, plasma velocity, and plasma temperature. These characteristics as well as the ion yield are compared when different magnetic fields generated by solenoids near the cathode are applied, as well as when the arc current is different. The results show that, in the absence of an external magnetic field, ions expand freely with the approximate axial velocity and average ion charge state. With the increase of external magnetic flux density, the wall loss of the plasma will decrease, and the axial velocity and average ion charge state will increase, but the magnetic saturation phenomenon exists. The simulation results are consistent with the experimental results.
Pair production of neutral Higgs particles in the B-LSSM
Authors: He Dan , Feng Tai-Fu , Yang Jin-Lei , Ning Guo-Zhu , Zhang Hai-Bin , Dong Xing-Xing 
Published: July 2022

Abstract
Higgs pair production provides a unique handle for measuring the strength of Higgs self interaction and constraining the shape of the Higgs potential. Including radiative corrections to the trilinear couplings of CP-even Higgs, we investigate the cross section of the lightest neutral Higgs pair production in gluon fusion at the Large Hadron Collider in the supersymmetric extensions of the standard model. Numerical results indicate that the correction to the cross section is about 11% in the B-LSSM, while is only about 4% in the MSSM. Considering the constraints of the experimental data of the lightest Higgs, we find that the gauge couplings of U(1)
B–L
and the ratio of the nonzero vacuum expectation values of two singlets also affect strongly the theoretical evaluations on the production cross section in the B-LSSM.
TRL-Net: a tiny object recognition and localization method in the artemisinin manufacturing process
Authors: Guo Ling , Wan Ping , Li Jie , Ren Siyu , Zhu Wenwen 
Published: July 2022

Abstract
Artemisinin is a key pharmaceutical ingredient for dysentery treatment. In the manufacturing process of artemisinin, artemisinin recognition and localization (ARL) is an important step to guarantee high drug purity. As an image processing problem, real-time solvent volatilization images of artemisinin production are used to determine the recognition of artemisinin materials. Images with artemisinin have small and intensive properties, which increases the difficulty of identification and location. Therefore, this paper proposes a tiny recognition and localization network (TRL-Net) based on a region-based convolutional neural network (R-CNN) to improve the performance of ARL. In TRL-Net, we establish a deep extraction backbone network with specially designed tiny necks to catch detailed features. Furthermore, tiny cross-entropy and Smooth-L1 loss functions are discovered to reduce the severe influence of negative samples on locating actions. Finally, experimental results on the real-world artemisinin dataset indicate that our proposed approach outperforms other compared methods.
Development of the DICOM-based Monte Carlo dose reconstruction system for a retrospective study on the secondary cancer risk in carbon ion radiotherapy
Authors: Furuta Takuya , Koba Yusuke , Hashimoto Shintaro , Chang Weishan , Yonai Shunsuke , Matsumoto Shinnosuke , Ishikawa Akihisa , Sato Tatsuhiko 
Published: July 2022

AbstractObjective.A retrospective study on secondary cancer risk on carbon ion radiotherapy (CIRT) is ongoing at the Heavy Ion Medical Accelerator in Chiba (HIMAC). The reconstruction of the whole-body patient dose distribution is the key issue in the study because dose distribution only around the planning target volume was evaluated in the treatment planning system.Approach.We therefore developed a new dose reconstruction system based on the Particle and Heavy Ion Transport code System (PHITS) coupled with the treatment plan DICOM data set by extending the functionalities of RadioTherapy package based on PHITS (RT-PHITS). In the system, the geometry of patient-specific beam devices such as the range shifter, range compensator, and collimators as well as the individual patient’s body are automatically reconstructed. Various functions useful for retrospective analysis on the CIRT are implemented in the system, such as those for separately deducing dose contributions from different secondary particles and their origins.Main results.The accuracy of the developed system was validated by comparing the dose distribution to the experimental data measured in a water tank and using a treatment plan on an anthropomorphic phantom.Significance.The extended RT-PHITS will be used in epidemiological studies based on clinical data from HIMAC.
Bandgap enhancement of two-dimensional lattice metamaterial via re-entrant hierarchy
Authors: Hou Jiahong , Li Dong , Zhang Zhijun , Ruan Haifeng , Liu Hongchen 
Published: July 2022

Abstract
This paper proposed a one-dimensional (1D) meta-beam through embedding re-entrant hexagons on a 1D single beam. Then a two-dimensional (2D) square resonator lattice with re-entrant hexagons was designed via replacing the ribs with the 1D meta-beams. Based on Bloch’s theorem and finite element method, the dispersions and bandgap properties of 1D meta-beam and 2D lattice with re-entrant hexagon were analyzed. The numerical results indicated that the bandgap property of both structures was improved via embedding re-entrant hexagons. For the 2D square resonator lattice with re-entrant hexagon, the total bandgap width was 34.3% higher than the 2D lattice without re-entrant hexagon. Then a parametric study was implemented, and the results showed the re-entrant ratio, rib thickness and the number of re-entrant hexagons had strong effects on bandgap distribution, especially the re-entrant hexagons, which enhanced the bandgap property in the low-frequency region significantly. Through calculating the contours of group velocity, the anisotropy of the 2D square resonator lattice with re-entrant hexagons was investigated, and the results indicated that there was pronounced caustic at specific parameter sets which reflects energy focus. To verify the bandgap property in the realistic application, the specimen of 2D square resonator lattice with re-entrant hexagons was prepared through additive manufacturing technology, and a low amplitude harmonic test was performed. The experimental result demonstrated the bandgap property of the 2D square resonator lattice with re-entrant hexagons. This paper may introduce a method to enhance the bandgap property of lattice metamaterial.
What does cosmology tell us about the mass of thermal-relic dark matter?
Authors: An Rui , Gluscevic Vera , Calabrese Erminia , Hill J. Colin 
Published: July 2022

Abstract
The presence of light thermally coupled dark matter affects early expansion history and production of light elements during the Big Bang Nucleosynthesis. Specifically, dark matter that annihilates into Standard Model particles can modify the effective number of light species in the universe N
eff, as well as the abundance of light elements created buring BBN. These quantities in turn affect the cosmic microwave background (CMB) anisotropy. We present the first joint analysis of small-scale temperature and polarization CMB anisotropy from Atacama Cosmology Telescope (ACT) and South Pole Telescope (SPT), together with Planck data and the recent primordial abundance measurements of helium and deuterium to place comprehensive bounds on the mass of light thermal-relic dark matter. We consider a range of models, including dark matter that couples to photons and Standard-Model neutrinos. We discuss the sensitivity of the inferred mass bounds on measurements of N
eff, primordial element abundances and the baryon density, and quantify the sensitivity of our results to a possible existence of additional relativistic species. We find that the combination of ACT, SPT, and Planck generally leads to the most stringent mass constraint for dark matter that couples to neutrinos, improving the lower limit by 40%–80%, with respect to previous Planck analyses. On the other hand, the addition of ACT and SPT leads to a slightly weaker bound on electromagnetically coupled particles, due to a shift in the preferred values of Y
p and N
eff driven by the ground based experiments. In most scenarios, the combination of CMB data has a higher constraining power than the primordial abundance measurements alone, with the best results achieved when all data are combined. Combining all CMB measurements with primordial abundance measurements, we rule out masses below ∼4 MeV at 95% confidence, for all models.
We show that allowing for new relativistic species can weaken the mass bounds for dark matter that couples to photons by up to an order of magnitude or more.
Finally, we discuss the reach of the next generation of the CMB experiments in terms of probing the mass of the thermal relic dark matter.
Effective dynamics of scalar cosmological perturbations from quantum gravity
Authors: Marchetti Luca , Oriti Daniele 
Published: July 2022

Abstract
We derive an effective dynamics for scalar cosmological perturbations from quantum gravity, in the framework of group field theory condensate cosmology. The emergent spacetime picture is obtained from the mean-field hydrodynamic regime of the fundamental theory, and physical observables are defined using a relational strategy applied at the same level of approximation, in terms of suitable collective states of the GFT field. The dynamical equations we obtain for volume and matter perturbations lead to the same solutions as those of classical GR in the long-wavelength, super-horizon limit, but differ in other regimes. These differences could be of phenomenological interest and make contact between fundamental quantum gravity models and cosmological observations, indicating new physics or limitations of the fundamental models or of the approximations leading to the effective cosmological dynamics.
Highly underexpanded helium jet and its effect on dust resuspension under in-vessel loss of coolant accident of fusion reactor
Authors: Qin Zhijie , Zhang Shichao , Wang Zhen , Chen Zhibin , Li Taosheng 
Published: July 2022

Abstract
During an in-vessel loss of coolant accident (LOCA) of a helium-cooled blanket in a fusion reactor, the high-pressure helium gas ingress into the vacuum vessel (VV) will produce highly underexpanded jet, resulting in the resuspension and migration of the radioactive dust deposited in the VV. In this study, the flow field in the VV and the influence of friction velocity were simulated and analyzed by using ANSYS Fluent code. In addition, the differences between in-vessel LOCA and loss of vacuum accident (LOVA) were compared. The results showed that the pressure of the VV reaches the pressure relief limit of the VV pressure suppression system rapidly after a LOCA. With the development of a LOCA, the Mach disk continued to move towards the equatorial break of the VV, its shape continued to shrink and the number of structures gradually increased. Compared with the LOVA, the LOCA had a higher friction velocity, resulting in a greater probability of dust resuspension and radioactive risk.
Characterization of Modified PID Controllers to Improve the Response Time of Angular Velocity to the Voltage Step in DC Motors by Means of a Mathematical Model Diagram Using SIMULINK Software
Authors: Kong Jorge , Rodríguez José , Hermosa-Altez Percy , Huarancca Patricia , Aréstegui Jesús , Chauca Mario 
Published: July 2022

Abstract
The objective of this research was the characterization of modified PID controllers to improve the response time of direct current (DC) motors. The Degem System EB-109 experimentation module (includes DC motor and six-pole pair synchronous motor), Tektronix TDS 2012 oscilloscope, Fluke 175 multimeter and a simulation environment for block diagrams with Simulink software were used. The procedure began by making voltage and current measurements in the armature of the DC motor in order to calculate its mechanical-electrical constants and obtain its mathematical model. Then, using block diagrams, a closed-loop control system was designed for the DC motor, using the PID as a control block in a first phase, and then in a second phase, the modified PID. The system was analyzed with simulation software and the results of both phases were compared. With the modified PID controller, a better speed and stability response time was obtained, thus eliminating transient peaks.
Application of Pattern Matching in Heating Furnace – Rough Rolling Process
Authors: Cui G M , Cheng Y 
Published: July 2022

Abstract
Hot continuous rolling is a complex industrial process. Aiming at the problems of difficult optimization control, information island between process and strong coupling between parameters in 2250 mm rolling line of a steel plant, a parameter optimization method based on multi-level pattern matching is proposed, which is applied to the heating furnace – rough rolling link to adapt the best operation parameters in the current superior operational pattern library so as to improve the product quality of transfer bar. For the situation that the multi-level matching method cannot find the optimal operation mode, an input-output prediction model based on fuzzy neural network is established and particle swarm optimization algorithm is used until the output optimal operation parameters meet the requirements, and updates the new optimal mode to the superior operational pattern library to complete the expansion of the library. The simulation results show that the minimum relative error between the optimization results and the actual operation parameters is about 0.44%, which proves the feasibility of the pattern matching and evolution strategy, so as to achieve the purpose of improving the quality of hot rolling products and improving the enterprise efficiency.
BIM Information Classification and Codification for manufacturing Heritage Buildings
Authors: Lu Shizhong , Yu Zhimin , Zhou Zejia , Wei Longming , Luo Zhihua 
Published: July 2022

Abstract
Heritage buildings have gained great popularity lately due to the attraction of the unique culture embedded in the heritage building elements and the incentive policies of the government to publicize traditional culture. manufacturing construction has been adopted in the construction industry due to many advantages over traditional on-site construction. However, the construction industry is still dominated by traditional on-site construction methods, and existing research in manufacturing construction mainly focuses on modern architecture styles. There is little discussion on the application of manufacturing construction to heritage buildings, especially on the integration of digital technology. This article proposes a BIM information classification method and the key information codification system to support the lifecycle management of manufacturing heritage buildings with BIM as the basic digital technology carrier, and two cases are used to verify its effectiveness.
A Direct Proof of the Prime Number Theorem using Riemann’s Prime-counting Function
Authors: Liu Zihao 
Published: July 2022

Abstract
In this paper, we develop a novel analytic method to prove the prime number theorem in de la Vallée Poussin’s form:

π
(
x
)
=
li
(
x
)
+
O
(
x

e

−
c

log
x

)

. Instead of performing asymptotic expansion on Chebyshev functions as in conventional analytic methods, this new approach uses contour-integration method to analyze Riemann’s prime counting function J(x), which only differs from π(x) by

O
(

x

log
log
x
/
log
x
)

.
An Analysis of the X1.59 Flare and Associated Events on 3rd July 2021
Authors: Shamsuddin S N A , Shariff N N M 
Published: July 2022

Abstract
Solar flares are caused by a complex magnetic field on the surface of the Sun, which releases a large amount of radiation. We present an analysis of the X1.5 flare that occurred on 3rd July 2021 at 14:29 UT from the active region AR 2838. It was believed that some other events were related. Prior to satellite communication, the ionosphere was commonly used for radio communication. In case of enhanced excess photoionization due to solar activities, the D layer will not disappear after sunset. This includes the burst of the day, as well as the ionospheric response caused by the flare event. Although numerous studies have been conducted on the sun, its dynamic behavior has continued to draw the interest of astrophysicists to this area to this day.
A TIM-based Method of Automatic Generation of FE Models for Pit Engineering
Authors: Chen Lisheng , Li Zhiyi , Chen Taili , Zhao Guoqiang , Shen Yi 
Published: July 2022

Abstract
BIM (Building Information Modeling) technology has developed rapidly in many fields of civil engineering. However, in pit engineering, the method of automatically generating FE models by BIM models is not as mature as that in tunnel engineering. There are still some problems in it, such as the lack of stratum data and construction data, the limit of geometric models, and the weak of the integration of numerical results with BIM platform. To solve these problems, this paper presents a TIM (Tunnel Information Modeling)-based on digital solution, which is more specific to underground engineering. Firstly, a normalized numerical pit model is built. TIM models, stratum data and construction data, all these required by numerical model are integrated in iS3 platform. Then a program is developed to obtain the data that has been supplemented or modified from the databases and automatically draw the profiles, then generate the input files to automatic calculation. The integrated TIM/FEM software based on iS3 platform is developed to import the result files to finish the post-processing and schemes assessment and optimization. This method is successfully applied in the pit project of Haikou Wenmingdong Tunnel, shortens the modeling time, and improves the modeling quality and the integration level of TIM/FEM.