bluuebunny/crossref_metadata_2025 huggingface dataset:
HD 133729: A blue large-amplitude pulsator in orbit around a main-sequence B-type star
Authors: Pigulski A. , Kotysz K. , Kołaczek-Szymański P. A.
Published: April 2022

Blue large-amplitude pulsators (BLAPs) form a small group of hot objects pulsating in a fundamental radial mode with periods of the order of 30 min. Proposed evolutionary scenarios explain them as evolved low-mass stars: ∼0.3 M⊙ shell-hydrogen-burning objects with a degenerated helium core, more massive (0.5–0.8) M⊙ core-helium-burning stars, or ∼0.7 M⊙ surviving companions of type Ia supernovae. Therefore, their origin remains to be established. Using data from Transiting Exoplanet Survey Satellite, we discovered that HD 133729 is a binary consisting of a late B-type main-sequence star and a BLAP. The BLAP pulsates with a period of 32.37 min decreasing at a rate of ( − 7.11 ± 0.33) × 10−11. The light curve is typical for BLAPs, but it shows an unusual 40-s drop at the descending branch. Due to light dilution by a brighter companion, the observed amplitude of pulsation is much smaller than in other BLAPs. From available photometry, we derived times of maximum light, which revealed the binary nature of the star via an O−C diagram. The diagram shows variations with a period of 23.08433 d that we attribute to the light-travel-time effect in the system. The analysis of these variations allowed us to derive the spectroscopic parameters of the BLAP’s orbit around the binary’s centre of mass. The presence of a hot companion in the system was confirmed by the analysis of its spectral energy distribution, which was also used to place the components in the Hertzsprung-Russell diagram. The obtained position of the BLAP fully agrees with the location of the other members of the class. With the estimated V ≈ 11 mag and the Gaia distance of less than 0.5 kpc, the BLAP is the brightest and the nearest of all known BLAPs. It may become a key object in the verification of the evolutionary scenarios for this class of variables. We argue that low-mass progenitors of the BLAP are excluded if the components are coeval and no mass transfer between the components took place.
Sensitivity analysis of a Tresca-Type Problem leads to Signorini’s conditions
Authors: Adly Samir , Bourdin Loïc , Caubet Fabien
Published: April 2022

The present paper investigates the sensitivity analysis, with respect to right-hand source term perturbations, of a scalar Tresca-type problem. This simplified, but nontrivial, model is inspired from the (vectorial) Tresca friction problem found in contact mechanics. The weak formulation of the considered problem leads to a variational inequality of the second kind depending on the perturbation parameter. The unique solution to this problem is then characterized by using the proximal operator of the corresponding nondifferentiable convex integral friction functional. We compute the convex subdifferential of the friction functional on the Sobolev space H1(Ω) and show that all its subgradients satisfy a PDE with a boundary condition involving the convex subdifferential of the integrand. With the aid of the twice epi-differentiability, concept introduced and thoroughly studied by R.T. Rockafellar, we show the differentiability of the solution to the parameterized Tresca-type problem and that its derivative satisfies a Signorini-type problem. Some numerical simulations are provided in order to illustrate our main theoretical result. To the best of our knowledge, this is the first time that the concept of twice epi-differentiability is applied in the context of mechanical contact problems, which makes this contribution new and original in the literature.
Total hip arthroplasty in geriatric patients – a single-center experience
Authors: Anderson Philip Mark , Vollmann Peter , Weißenberger Manuel , Rudert Maximilian
Published: April 2022

Background: As advanced age often leads to accumulating comorbidities, geriatric patients are endangered by serious events during total hip arthroplasty. This study was conducted to explore whether or not the benefit in terms of health-related quality of life (HRQoL) was comparable to younger patients. Methods: At a single academic center, 100 patients meeting the following inclusion criteria were retrospectively recruited: (1) primary arthritis of the hip leading to THA; (2) age 80 years or older at the time of surgery; (3) follow up of at least 12 months. For comparison, two further groups were recruited in the same manner, differing only in the age criterion: 100 patients aged 60–69 and 100 patients aged 70–79 at the time of hip replacement. The primary outcome was compared using the WOMAC and the EQ-5D score. The secondary outcome was determined by rates of orthopedic and non-orthopedic complications. Intragroup comparisons of the PROMS were performed by the non-parametric Wilcoxon test for paired samples. For intergroup comparisons of the PROMS, the Kruskal–Wallis-test was performed. Concerning categorial data, intergroup comparisons were performed by the Chi-Square test. The level of significance was set at 0.05. Results: Concerning the WOMAC score, neither the absolute values at 12 months after THA (p = 0.176) nor the amount of change relative to the values before surgery (p = 0.308) differed significantly between the 3 groups. Concerning the EQ-5D index the absolute values at 12 months after THA differed significantly (p = 0.008). Rates of orthopedic complications did not differ significantly (p = 0.631). Rates of non-orthopedic complications increased significantly with rising age (p = 0.033). Conclusions: Compared to younger patients, geriatric patients after THA have an equal improvement in hip-specific and general HRQoL. While rates of orthopedic complications are comparable too, non-orthopedic complications occur more frequently.
Recommendations for Care and Support of Female Rape Victims
Authors: Fryszer Lina Ana , Büttner Melanie , Etzold Saskia , Muetzel Elisabeth , Rall Katharina , Schellong Julia , David Matthias ,   Team of authors at Frauennotruf [Womenʼs Emergency Helpline] Frankfurt
Published: April 2022

Introduction According to prevalence studies, at least 5% of all women in the Federal Republic of Germany experience rape during their lifetime. While the effects vary according to
the individual, rape has serious consequences for the somatic, psychological, and psychosocial health of the victim. The medical care that is provided to presumed rape victims is of special
importance, as this care can have a positive influence on the patientʼs ability to process their experience and engage in healing following such a traumatic event. Furthermore, doctors are
the professionals whose help is most often sought in this context. Primary care following rape consists of three aspects: the forensic medical examination, medical care, and psychological
care. In this position paper, each of these aspects are discussed in detail. Recommendations for follow-up care are also provided.

Methods In a multi-tiered process, a selective literature review was performed and a consensus among representative experts from different areas of specialization was formulated.

Goals The goal of this paper is to contribute to the further improvement and standardization of the medical care provided to women who are presumed rape victims.
Berberitze
Authors: März Henrike , Vigl Sebastian , Welsch Katja , Stern Cornelia
Published: April 2022

Das Thema der „4 Fachleute – 4 Behandlungsstrategien“ in dieser Ausgabe ist der Einsatz der Berberitze in der Ernährungstherapie, Phytotherapie, Homöopathie und Spagyrik.
Von der Befruchtung zur Knospung
Authors: Corts Magga
Published: April 2022

Es ist immer wieder ein Wunder, wie sich aus zwei Zellen (Eizelle und Samenzelle) innerhalb von 9 Monaten ein Säugling entwickeln kann. Um den Prozess zu verstehen, ist es wichtig, sich die Embryogenese genauer anzuschauen. Denn die Embryogenese, also die Entwicklung des Embryos, ist Grundlage jeglicher fetalen Entwicklung. Sie dauert bis zur 12. Schwangerschaftswoche (SSW).
Prüfungsthema: Pflanzen
Authors: Schmid Eva C.
Published: April 2022

Liebe Heilpraktikeranwärter – mit diesen Karteikarten wollen wir Sie bei der Vorbereitung auf die mündliche Heilpraktikerüberprüfung unterstützen. Viel Erfolg beim Lernen wünscht Ihnen HP Eva C. Schmid!
Pflanzengeist in der Flasche
Authors: Houben Martina
Published: April 2022

Die Herstellung und Anwendung Ganzheitlicher Urtinkturen rückt die Persönlichkeit und einzigartigen Fähigkeiten einer jeden Heilpflanze in den Vordergrund. Die Wesensqualität und Wirkung der Pflanzen lässt sich unter anderem über die Signatur und entsprechende Analogien, zum Beispiel das Sieben-Planeten-Prinzip, entschlüsseln. Anhand von zwei Fallbeispielen zeigt die Autorin, wie Ganzheitliche Urtinkturen körperliche und seelische Heilungsprozesse gleichermaßen unterstützen können.
Die Heilkraft der Fieberbäume
Authors: Vigl Sebastian
Published: April 2022

Bei der Behandlung der rheumatoiden Arthritis können Erkenntnisse der Schulmedizin helfen, phytotherapeutische Ansätze zu ermitteln. Einige Bäume enthalten entzündungshemmende Wirkstoffe, die bei rheumatoider Arthritis innerlich angewendet hilfreich sein können. Über die innerliche Anwendung hinaus können Heilpflanzen auch äußerlich bei rheumatoider Arthritis lindernd sein, insbesondere Pappelknospen.
Blumige Gaumenfreude
Authors: Stern Cornelia
Published: April 2022

Drei Rezepte für Sie: Dessert, Sirup und Gelee aus Mädesüßblüten.
OSG-Prothesen am arthritischen und arthrotischen
Fuß
Authors: Rehart Stefan
Published: April 2022

Bei den endgradigen Zerstörungen am oberen Sprunggelenk kommt heute den
operativen Verfahren der endoprothetischen Versorgung und der Versteifung die
entscheidende Rolle zu. Die 3 am meisten betroffenen Patientengruppen sind die
mit posttraumatischen, arthrotischen und rheumatischen Folgen. Es bestehen
fulminante Unterschiede in den pathophysiologischen Abläufen der
Gelenkaffektionen bei den primär degenerativen zu den
chronisch-entzündlichen Erkrankungen. Letztere unterliegen besonderen
lokalen, regionalen und systemischen Veränderungen, die in Bezug auf die
Differentialindikation und das gesamte perioperative Management bekannt sein
müssen, um Patienten optimal zu versorgen und Komplikationen zu
vermeiden. Beim „Rheumatiker“ gesellt sich zu den
immunologisch-induzierten Ko-Morbiditäten noch eine sehr gezielte
Basismedikation dazu, die in ihren orthopädisch-unfallchirurgischen und
den orthopädisch-rheumatologischen Auswirkungen zu bedenken ist. Initial
stehen die gesamten Verfahren der konservativen Behandlung am Sprunggelenk und
im Verlauf – vor allem bei entzündlich induzierten
Synovialitiden – eine Spiegelung mit Schleimhautresektion und
anschließender Radiosynoviorthese zur Verfügung. Zuletzt gewinnt
die technisch anspruchsvolle endoprothetische Versorgung am oberen Sprunggelenk
seit geraumer Zeit wieder mehr an Bedeutung, vielfach wird von
fußchirurgischen Experten jedoch eine Fusion des tibio-talaren Gelenkes
bei entsprechender Destruktion bevorzugt. In Deutschland werden rund 2000
OSG-TEP-Implantationen p.a. mit den heute üblichen zementfrei
eingesetzten 3-Komponenten-Prothesen ausgeführt, die -besonders bei den
rheumatischen Erkrankungen- mittelfristig recht gute Ergebnisse aufweisen.
Sowohl die TEP-Versorgung als auch die Fusionseingriffe weisen spezifische Vor-
und Nachteile sowie Komplikationsmuster auf. Die Indikation zu den Verfahren ist
individuell zu stellen. Fußchirurgische und
orthopädisch-rheumatologische Spezialisten für die jeweiligen
Patientengruppen können den Fachgesellschaftsseiten entnommen
werden.
Neither reckless nor free-riders: auditing the Baltics as US treaty allies
Authors: Banka Andris
Published: April 2022

Is it strategically wise for the USA to stretch its protective umbrella over small nations in Eastern Europe? Prominent critics have faulted US allies for acting recklessly and free-riding on US security guarantees. The evidence presented vis-à-vis the Baltic States, however, challenges these assumptions. This study paints a picture of Estonia, Latvia, and Lithuania as loyalty-obsessed small states that diligently seek to meet their patron’s behavioural expectations. By word and deed, they back US strategic goals. As such, they have taken on heavy war burdens in US-led campaigns and sided with Washington in its geopolitical struggle against China. What is more, they bring to the table distinctive capabilities in cyber and intelligence. In sum, this paper suggests that the Baltic States have continuously reimbursed the USA for its defence-cover services.
An improved equivalent acceleration imaging approach for spaceborne sliding spotlight SAR
Authors: Zheng Yucheng , Yi Wenjun , Guan Jun , Ye Xiaodong , Tao Shifei
Published: April 2022

The traditional hyperbolic range equation model will produce large errors in the spaceborne sliding spotlight synthetic aperture radar with large azimuth time. Although the equivalent acceleration range model (EARM) can deal with the problem of large azimuth scenes well, the interpolation steps from azimuth resampling make the computational burden of algorithm very huge. In response to this problem, this paper improves EARM by dividing the range model into two parts: residual terms of azimuth time and equivalent range expression. The frequency domain imaging algorithm designed for the new range model omits the interpolation step of azimuth resampling. The simulation experiments verify the efficiency and validity of the proposed methodology.
Finite boundary effects on the spherical Rayleigh–Taylor instability between viscous fluids
Authors: Oren Garrett H. , Terrones Guillermo
Published: April 2022

For the Rayleigh–Taylor unstable arrangement of a viscous fluid sphere embedded in a finite viscous fluid spherical shell with a rigid boundary and a radially directed acceleration, a dispersion relation is developed from a linear stability analysis using the method of normal modes. aR1 is the radially directed acceleration at the interface. ρi denotes the density, μi is the viscosity, and Ri is the radius, where i = 1 is the inner sphere and i = 2 is the outer sphere. The dispersion relation is a function of the following dimensionless variables: viscosity ratio s=μ1μ2, density ratio d=ρ1ρ2, spherical harmonic mode n, B=R1aR1ρ22μ221/3, H=R2R1, and the dimensionless growth rate α=σμ2aR12ρ21/3, where σ is the exponential growth rate. We show that the boundedness provided by the outer spherical shell has a strong influence on the instability behavior, which is reflected not only in the modulation of the growth rate but also in the selection of the most unstable modes that are physically possible. This outer boundary effect is quantified by the relative magnitude of the radius ratio H. We find that when H is close to unity, lower order harmonics are excluded from becoming the most unstable within a vast region of the parameter space. In other words, the effect of H has precedence over the other controlling parameters d, B, and a wide range of s in establishing what the lowest most unstable mode can be. When H ∼ 1, low order harmonics can become the most unstable only for s ≫ 1. However, in the limit when s → ∞, we show that the most unstable mode is n = 1 and derive the dispersion relation in this limit. The exclusion of most unstable low order harmonics caused by a finite outer boundary is not realized when the outer boundary extends beyond a certain threshold length-scale in which case all modes are equally possible depending on the value of B.
Coordination polymers based on aluminum and indium halides together with pyrazine
Authors: Schäfer Thomas C. , Becker Jonathan , Heuler Dominik , Seuffert Marcel T. , Sedykh Alexander E. , Müller-Buschbaum Klaus
Published: April 2022

Four structurally closely related one-dimensional coordination polymers (CPs) have been synthesised, constituted by pyrazine (pyz) and the group 13 metal halides AlCl3, AlI3, InBr3, and InI3. Three CPs are isotypic: [ AlCl 3 ( pyz ) ] ∞ 1 CH21317_IE1.gif, [ AlI 3 ( pyz ) ] ∞ 1 CH21317_IE2.gif, [ InBr 3 ( pyz ) ] ∞ 1 CH21317_IE3.gif. Alike [ InI 3 ( pyz ) ] ∞ 1 CH21317_IE4.gif, they form linear chains. Hereby, each M3+ ion is trigonal-bipyramidally coordinated by three halido ligands and two N-atoms of two pyz serving as linear nodes with twofold connectivity (2-c). The CPs were characterised by SCXRD, PXRD, elemental-analysis, simultaneous DTA/TG and IR-spectroscopy. In addition, two complexes [(AlCl3)2(pyz)5] and [(InI3)2(pyz)] with octahedrally coordinated Al3+ and unprecedented tetrahedrally coordinated In3+ ions were structurally characterised by SCXRD.
Exploring the interplay of biotic interactions and salinity stress in freshwater invertebrate assemblages: reply to Chessman (2022)
Authors: Kefford Ben J. , Bray Jon P. , Nichols Susan J. , Reich Jollene , Mac Nally Ralph , O’Reilly-Nugent Andrew , Kon Kam King Guillaume , Thompson Ross
Published: April 2022

The most parsimonious interpretation of our experimental findings (Bray 2019; Kefford 2022) is that the effect of experimental increases in salinity on stream macroinvertebrate communities, was altered by organisms from a high-salinity site. This interpretation is consistent with long-established and widely accepted ecological and ecotoxicological theory. The suggestion (Chessman 2022) that the initial community was confounded, that it converged within the first week of the experiment and then diverged again, is neither parsimonious nor explicable by theory. All experiments are imperfect, yet we maintain that our experiment is informative, and we encourage other researchers to generate new data to inform on the degree to which abiotic and biotic effects of salinity, and other abiotic stressors, affect ecological communities.
Acute physiological, endocrine, biochemical and performance responses associated with amateur boxing: A systematic review with meta‐analysis
Authors: Finlay Mitchell J. , Greig Matt , Page Richard M. , Bridge Craig A.
Published: April 2022

Previous research has explored the demands of amateur boxing‐specific activity; however, no holistic review of the acute responses to such activity currently exists. This paper aimed to provide a systematic review of the available literature on the acute physiological, endocrine, biochemical, and performance responses to amateur boxing‐specific activity. Following a search of EBSCOhost, SPORTDiscus, PubMed and Google Scholar databases, 25 studies were identified as meeting the inclusion criteria for the review. The methodological quality of the included studies was assessed via a modified Downs and Black checklist. Random‐effects meta‐analysis of standardised mean differences (SMD) revealed large (SMD = 4.62) increases in pre‐post blood lactate (BLa), cortisol (SMD = 1.33), myoglobin (Mb) (SMD = 1.43), aspartate transaminase (AST) (SMD = 1.37), and alanine aminotransferase (ALT) (SMD = 0.97), in addition to moderate increases in creatine kinase (CK) (SMD = 0.65). Small pre–post increases in counter‐movement jump (CMJ) height (SMD = 0.33) were observed. Consistently greater pre–post alterations were observed in competitive bouts, followed by sparring, and less so in boxing‐specific simulations. Considerable physiological, endocrine, and biochemical responses are elicited following amateur boxing. Interestingly, neuromuscular and task‐specific performance may not deteriorate following boxing‐specific activity. The findings of the review may assist in the designing and periodising of boxing‐specific training, dependent on the desired physical adaptations, training phase, and recovery status of the amateur boxer.

Highlights

Amateur boxing elicits a considerable acute physiological, hormonal, and biochemical response.

Such responses are typically greater in competitive bouts, followed by sparring, and less so in simulated activity.

The considerable demands of amateur boxing‐specific activity do not appear to negatively affect neuromuscular or task‐specific performance.

Amateur boxers may be conditioned to preserve performance despite the acute demands of the sport, or the lack of performance decrement may reflect the short duration of amateur boxing.
DAPLE orchestrates apical actomyosin assembly from junctional polarity complexes
Authors: Marivin Arthur , Ho Rachel Xi-Yeen , Garcia-Marcos Mikel
Published: April 2022

Establishment of apicobasal polarity and the organization of the cytoskeleton must operate coordinately to ensure proper epithelial cell shape and function. However, the precise molecular mechanisms by which polarity complexes directly instruct the cytoskeletal machinery to determine cell shape are poorly understood. Here, we define a mechanism by which the PAR polarity complex (PAR3–PAR6–aPKC) at apical cell junctions leads to efficient assembly of the apical actomyosin network to maintain epithelial cell morphology. We found that the PAR polarity complex recruits the protein DAPLE to apical cell junctions, which in turn triggers a two-pronged mechanism that converges upon assembly of apical actomyosin. More specifically, DAPLE directly recruits the actin-stabilizing protein CD2AP to apical junctions and, concomitantly, activates heterotrimeric G protein signaling in a GPCR-independent manner to favor RhoA-myosin activation. These observations establish DAPLE as a direct molecular link between junctional polarity complexes and the formation of apical cytoskeletal assemblies that support epithelial cell shape.
Bayes' theorem, inflation, and the Ekpyrotic universe
Authors: Wraga Joseph , Goldberg David M.
Published: April 2022

We calculate the Bayesian evidences for a class of Ekpyrotic universe models, and compare with a model of single field inflation with a Higgs-type potential. Combining parsimony and observational constraints, this gives us a systematic way to evaluate the degree to which Ekpyrotic models are constrained by CMB data from Planck. We integrate the equations of motion numerically to define a likelihood using Planck 2018 data and sample this likelihood to obtain Bayesian evidences. Priors are justified and used to put Ekpyrotic models and inflation on equal footing. We find reasonable preference for one of the considered Ekpyrotic models over the others, but that even this one is disfavored compared with Higgs inflation.
MIRA: a multi-physics approach to designing a fusion power plant
Authors: Franza F. , Boccaccini L.V. , Fable E. , Landman I. , Maione I.A. , Petschanyi S. , Stieglitz R. , Zohm H.
Published: April 2022

Fusion systems codes (SCs) are deployed to produce the baseline of the European fusion power reactor (DEMO) within its conceptual design. A DEMO baseline is mostly defined by a radial/vertical reactor sketch and major reactor parameters, such as fusion and net electric power, magnetic fields, and plasma burn time. A baseline shall also meet a set of prescribed reactor requirements, constraints, and architectural features. According to the conceptual design workflow implemented within the EU-DEMO programme, the output from the SC is transferred to the detailed physics and engineering design codes. Presently-available fusion SCs rely on rather basic physics and engineering models (mostly at zero or one-dimensional level). The design codes, instead, are very detailed but run on much longer computing times. To fill the gap between systems and design codes, the multi-fidelity systems/design tool modular integrated reactor analysis (MIRA)—has been recently developed. MIRA incorporates the physics and the engineering insights of the utmost domains of tokamak reactors and relies on a higher spatial resolution, spanning from 1D up to 3D modelling frames. The MIRA approach has been applied to the DEMO 2017 baseline, generated by the EU reference SC PROCESS and used as input to MIRA. In the paper, the architectural and mathematical insights of the MIRA package are described, along with an EU-DEMO 2017 baseline analysis.
Application of Machine Learning in the Research of Evaporation Duct Height: A review
Authors: Chai Xingyu , Li Jincai , Zhao Jun , Zhao Xiaofeng
Published: April 2022

Evaporation duct is a kind of special atmospheric stratification that frequently appears on the sea surface, which has an important influence on the propagation and attenuation of electromagnetic waves, and is an important factor affecting the efficiency of marine radars and communication equipment. After the development in more than half a century, evaporation duct height can be obtained by direct detection, theoretical model, inversion and machine learning. Machine learning can explore the hidden laws of data efficiently and has the potential to surpass the traditional theoretical model. In this paper, the Machine Learning methods in evaporation duct research are shown and prospects of machine learning methods in evaporation duct research are given.
Multi robot navigation formation simulation based on ROS
Authors: Zhang Yuxing , Kong Xiangdong , Chen Xizhang
Published: April 2022

Multi-robot collaboration is an important development direction of current robotics technology. This paper proposes a navigator and follower model formation control framework that integrates path planning and trajectory tracking, and conducts experiments in the gazebo simulation environment to realize the simulation of navigation and formation led by the navigator in the simulation environment indoors.
D-H Parameter Method-based Wearable Motion Tracking
Authors: Qian Huizu , Chen Benbin , Xia Xuke , Deng Shengzhong , Wang Yuxiang
Published: April 2022

Motion capture is a key technology for robots to accurately understand pedestrian intentions in the scene of human-machine integration. Due to the limited spatial distance and easy obstruction by obstacles, traditional optical motion capture systems often lose detection targets. This paper proposes a wearable motion tracking method based on D-H parameter method. By binding multiple wireless inertial sensor units composed of accelerometers, magnetic flux sensors and gyroscopes to various moving parts of the user’s body, accurate and robust tracking of moving targets is achieved. This method uses the known pose information of the root node to find the pose state of each level in the reference coordinate system, and establishes the human body joint rotation model and the bone position state model. The results show that the motion tracking method proposed in this paper reduces 9 degrees of freedom compared with the traditional forward kinematics method, and the algorithm efficiency is increased by about 20%, which can accurately obtain the posture characteristics of the human body. It can be seen that the D-H parameter method is reasonable for the wearable human body motion tracking.
Network Anomaly Sequence Prediction Method Based on LSTM and Two-layer Window Features
Authors: Li Hongcheng , Gao Yuan , Wang Bing , Ming Yuewei , Zhao Zhongwei
Published: April 2022

To solve the over-fitting problem in the prediction algorithm caused by the small number of features that arise during the network anomaly prediction process, an LSTM algorithm for network anomaly predictions based on two-layer time window features was proposed. Firstly, the network alarm data sequence was divided according to the observation time window and prediction time window. Secondly, considering that the time series of the anomaly alarm data can be somewhat periodic, a time window sequence dataset was created with the periodic features and statistical features in the two-layer windows. Finally, one-shot and feedback models of the LSTM algorithm were employed to predict network anomalies. The experiment showed that the best prediction accuracy for this method is over 80% with both one-shot and feedback models, when the prediction time window is 12h.
PD-Based Control of Cart-Pole System on Inclined Plane with Variable Slope
Authors: Wang Yifan
Published: April 2022

For control research, the cart-pole system is one of the basic models. Various controllers for controlling under-actuated systems in unstable postures are available, according to the literature. In this paper, an off-line management of a variable slope cart-pole system is proposed. The system moves on a circular arc surface with a certain radius. The dynamic pattern of the cart-pole system is obtained by Euler-Lagrangian formulation, and the controllability analysis is considered. Initially, a Python model of the proposed system was created, which was then simulated with a PD controller. Based on the required joint angle, we can calculate the required control parameter distribution. By studying the differences in the stability time and steady-state error of the system under different parameters, the efficacy of the suggested method is proved, and the possibility of further parameter optimization is proposed. For the future study, the simulation of a more irregular trajectory would be inspired by this model and control of the cart-pole system on a non-linear trajectory.
Asymmetric Dilation Residual Distillation Network with Lightweight Image Super-Resolution
Authors: Hong Kai , Fan Kefeng , Li Fei
Published: April 2022

Deep learning approaches have achieved remarkable performances in single image super-resolution (SISR) while the heavy memory consumption and computational complexity hinder their applications in real-world devices. We design a lightweight asymmetric dilation distillation network (ADDN) that cascades asymmetric dilation distillation modules (ADDMs) as feature extraction blocks to efficiently refine hierarchical features. In our design, asymmetric dilation residual block (ADRB) is connected by the ADDM in an information distillation manner. Specifically, the ADRB regulates the dilation factors to expand different multiples of receptive fields and substantially reduces the number of parameters simultaneously. Compared with the existing methods quantitatively and qualitatively, the proposed ADDN can achieve superior performance on four available benchmark datasets with much fewer parameters and memory storage.
Improved Routing Protocol Algorithm Based on Hierarchical Clustering*
Authors: Wang Gaiyun , Liu Jianbin , Shen Jintao , Zhang Bin , Sun Chuanfeng , Guo Zhichao
Published: April 2022

In order to allocate network energy consumption more scientifically and save the cost of the system, an improved wireless sensor networks algorithm is proposed. The algorithm uses hierarchical clustering, using the Chaos algorithm and evaluation function to optimize the cluster head selection. Simulation results show that compared with LEACH and JC-LEACH, the algorithm has a longer system life cycle, better energy-saving effect, and a more balanced energy consumption mode.
A composite image recognition based approach for spontaneous combustion point detection and positioning in coal piles
Authors: Wu Fuhui , Zhou Zhihao , He Xingwei , Wang Zhan , Li Junhai , Ruan Yaliang , Lei Hao
Published: April 2022

The phenomenon of spontaneous combustion of coal piles often occurs in closed coal yards of power plants, automatic fire-fighting equipments are generally used to detect and locate the spontaneous combustion point. However, their performance (false alarm rate) are largely limited due to the complicated environment of the coal yard. To deal with this problem, this paper proposes a composite image recognition based method for detecting and positioning the spontaneous combustion point (SCP) in coal yard. Yolov5s is trained to efficiently detect SCPs and infrared information is fused to distinguish the realiability of SCP detection result via composite image registration method. In addition, an angle compensation algorithm is proposed to adjust the spray angle of the equipment for positioning the cooling area. The experimental results show that after integrating the above related technologies, the false alarm rate of the spontaneous combustion point in the scene is greatly reduced, and the work efficiency is effectively improved.
Multiple Granularity Person Re-identification Network Based on Representation Learning and Metric Learning
Authors: Liu Panting , Du Haishun , Sha Junpeng
Published: April 2022

Powerful local features can be extracted from multiple body regions of a pedestrian. Early person re-identification research has focused on extracting local features by locating regions with specific pre-defined semantics, which is not effective and increases the complexity of the network. In this paper, we propose a multiple granularity person re-identification network based on representation learning and metric learning for learning discriminative representations of pedestrian images. Multiple granularity person re-identification network consists of a multiple granularity feature extraction part and a combined loss part. In particular, the multiple granularity feature extraction part extracts global features and local features of different granularities from the feature maps of Conv4 and Conv5 of the ResNet50 backbone network, respectively, the extracted feature information is more comprehensive and discriminative. The combined loss part employs a joint representation learning and metric learning approach for supervised learning, which enables the model to learn more optimal parameters. The experimental results show that the Rank-1 accuracy of the multiple granularity person re-identification network reaches 95.2% and 88.2% on the Market1501 dataset and DukeMTMC-reID dataset, respectively, which illustrates the effectiveness of the model.
Application of Dunkl Wavelets to solve the Integral Equations
Authors: Dixit M M , Pandey C P , Pandey Abhishek Kumar , Phukan Pranami
Published: April 2022

The Integral Equation appears in different fields of science and engineering mathematics, for example image processing and the concept of electromagnetic. The technique of wavelet transform to find the solution of integral equations allows creating an algorithm after comparing with known algorithms. This paper is about the uses of the Dunkl Wavelet transforms and associated convolution to establish some suppositions for solution of these equations on distribution spaces. This work defined the method to solve various integral equations by using the Dunkl wavelet transforms.
Improvement of Starting Point Selection of Data Field Clustering Algorithm
Authors: Wang Lei , Li Tianyu , Xu Huiqi , Zhang Zhiyong
Published: April 2022

Since it does not depend on the starting point selection, data field clustering can perform unsupervised clustering according to the data distribution characteristics. However, due to its drawback of high computational complexity caused by iterative updates, it is not suitable for the scenarios with high real-time requirements such as radar signal sorting. In this paper, an improved method of starting point selection is proposed to address the problems of low timeliness and poor interference immunity of data field clustering in radar signal sorting. The performance of the improved algorithm is simulated and verified in a complex electromagnetic environment, and the results show that the improvement of the data field clustering in this paper improves the performance of the algorithm.
Research on Missile Firing Practice Evaluation Method of Online and Offline Integration
Authors: Zhong Zhitong , Zhang Lin , Huyan Xiaoyang
Published: April 2022

This paper is meant to test the missile combat capability and operators practical operating standard, in view of the fire training effect and after-fire analysis and research under the background of practical combat. The research is realistic &honest in evaluation and assessing exercises, training,practices that lead to better fire result. Combined with the practical needs of man-in-the-loop missile fire training evaluation, the paper advances the on-line evaluation with off-line review evaluation concept, which has been applied to missile fire training evaluation for many a times, and the close analysis and synthesis of relevant case studies provides a great help to the military field training.
Development of a Geometric Cutting Aided System for Tin-sprayed Steel Mesh
Authors: Luo Ming , Li Gui , Ding Zixi
Published: April 2022

The design of tin-sprayed steel mesh is particularly important in the production of tin-sprayed steel mesh, which is the key to ensuring the function and quality of the tin-sprayed steel mesh. At present, the tin-sprayed steel mesh is still manually designed, and the design process is error-prone and inefficient. Therefore, a geometric cutting assistance system for tin-sprayed steel mesh of the combiner based on AutoCAD and ObjectARX was developed. The system adopts a parameterized design to realize the automatic operation of the steel mesh cutting process. First introduced the system development environment and composition architecture, and briefly explained the system interaction interface. Then it explains two key methods in the software system design and development process, including cutting quality control and finding the intersection of line segments. Finally, the actual case proves that the system greatly improves the efficiency and quality of steel mesh cutting.
Towards Speech Recognition and Training Utilization in the Nuclear Power Main Control Room
Authors: Wang Zhiminxing , Deng Shiguang , Duan Pengfei , Xu Yunlong , Li Wanting
Published: April 2022

Speech, as the material shell of language, is the external form of language, and is the symbol system that most directly records people’s thinking activities. As a means of interaction, it has the characteristics of simplicity and speed. For a long time, due to insufficient recognition accuracy, it cannot be applied in industry. However, with the rapid development of big data and machine learning technology, the training effect of speech model has greatly increased, and the reliability of speech recognition has been greatly improved. The application of speech interaction in nuclear power plants with extremely high safety requirements brings feasibility. The purpose of this system is to establish an intelligent speech control system and its related speech model training system, and use Kaldi and Python scripts as model training scripts to train the corpus. And designed experiments to verify that after using speech recognition, it can effectively reduce the operation time by about 45%, and the overall task execution efficiency has been significantly improved. Therefore, the use of speech recognition can significantly reduce the operator’s task load and reduce the probability of human error.
Numerical Analysis of Mechanical Response Characteristics of Jointed Tunnel Surrounding Rock under Dynamic Loading
Authors: Li Chao , Shi Zhongqi , Li Jinhui , Xiang Yanting
Published: April 2022

The jointed rock mass is widely distributed in nature, which has certain impact on the stability of the underground tunnel. In order to study the response characteristics of jointed tunnel surrounding rock mass under dynamic loading such as earthquake and explosion, the tunnel surrounding rocks with different distributed joints are simulated and studied by RFPA numerical analysis method, and the failure process of tunnel surrounding rock is obtained. The numerical results show that under the action of dynamic loading, the tunnel surface reflects the stress wave and form a tensile failure zone, resulting in serious instability and failure in the zone; The stability of tunnel surrounding rock is closely related to the distribution of joints; The interaction between tunnels increases the failure of surrounding rock mass, so a safe distance should be maintained between tunnels. The research results of this paper provide guidance for tunnel route selection and surrounding rock reinforcement design.
High Level Integrated System of Space Detector Network Integration
Authors: Zhang Ying , Ma Zheng , Niu Zhichao , Feng Li
Published: April 2022

In order to meet the requirements of high reliability and low power consumption during the operation of aircraft, this paper adopts the high-level synthesis method to map the high-level language into RTL level code that can run directly on FPGA, and proposes an intelligent integration system for aircraft based on high-level synthesis. The input of aircraft system is image radar sensor data, visible image data and infrared image output. The output of the aircraft system is target identification. Including convolutional IP core, pooled IP core and fully connected IP core. The whole system uses 7-layer deep learning neural network structure, which is convolution IP core, pooled IP core, convolution IP core, pooled IP core, fully connected IP core, fully connected IP core, fully connected IP core.
Harmonics Current Detection in Three-phase Circuit using Neural Network
Authors: Liang Jian , Zhang Shuang , Ren Yong , Cheng Yuanchu
Published: April 2022

Harmonics seriously affect the safety and economy of power system. In order to control harmonics effectively, harmonic current and harmonic power must be detected quickly. Based on the analysis of the components of three-phase nonlinear current, a neural network detection method of fundamental and harmonic current in three-phase circuit is proposed. The method uses a neural network instead of the low-pass filter in the instantaneous reactive power theory. The example results show that the proposed method has the advantages of less computation, better real-time performance and high detection accuracy. The method can be used to detect the positive-sequence (negative-sequence) fundamental active current, positive-sequence (negative-sequence) fundamental reactive current, harmonic, distortion current and harmonic power.
Analysis of Image Restoration Based on EM Algorithm
Authors: Lu Yujie
Published: April 2022

Image noise is mainly introduced in the process of image imaging. Different imaging mechanisms lead to different distribution characteristics of image noise. The maximum likelihood method is a commonly used parameter estimation method, which can obtain a good estimation effect for Gaussian distribution, but it has the disadvantage of relatively complicated calculation when it is used for parameter estimation of mixed Gaussian distribution. However, it has the disadvantage of relatively complicated calculation when it is used for parameter estimation of mixed Gaussian distribution. The EMs of this paper flexibly bring their blurring effects. The solution of the maximum likelihood equation is simplified by introducing potential variables, which has the advantages of smooth implementation of equations, stable numerical calculation, and guaranteed convergence to a stable point to make up for the deficiency of the maximum likelihood method
Onchip digital calibrated 2 mW 12-bit 25 MS/s SAR ADC with reduced input capacitance
Authors: Hernandez Herrera H.D. , Bregant M. , Sanchez B. , Van Noije W.
Published: April 2022

We present a 12-bits asynchronous SAR ADC with a low complexity digital on-chip calibration and just 2 pF of total array capacitance. The ADC architecture utilizes a redundant weighting switching of 2 fF MOM capacitors consuming 14 clock-cycles to complete the conversion. Taking advantage of redundancy, the weights of the MSB capacitors are estimated using the LSB array, thus it is possible to digitally compensate for the mismatch non-linearity directly over the ADC output. The circuit consumes 2 mW at 25 MS/s on a core area of 300 μm × 500 μm in 180 nm CMOS technology. ENOB improvements of 0.85 bits were post-layout simulated after calibration. Sample characterization is ongoing.
Beam diagnostics for linear accelerator of SKIF synchrotron light source
Authors: Xiaochao M. , Maltseva Yu.I. , Meshkov O.I. , Arsentyeva M.V. , Bekhtenev E.V. , Cheskidov V.G. , Borin V.M. , Karpov G.N. , Nikiforov D.A. , Pavlov O.A. , Volkov V.N.
Published: April 2022

As the injector of the new fourth-generation SKIF
synchrotron light source at the BINP SB RAS (Novosibirsk, Russia),
the linear accelerator will provide a 200 MeV electron beam. A
precise measurement of the beam is very important for the control of
the linac and even the entire light source. A set of diagnostic
instruments for tuning the linac and measuring the beam parameters
starting from the electron RF gun to the output of accelerator has
been designed. The instrumentation should cover the dynamic
diagnostic range of 0.6 to 200 MeV and a beam duration from the
initial 100 ps to 3 ps at the output of the accelerator. The set
includes eight fluorescent screens to measure beam transverse size,
two Cherenkov probes and RF-cavity sensors to record beam duration,
a dipole magnetic spectrometer to measure energy and energy spread,
a Faraday cup (FC) and fast current transformers (FCTs) to measure
beam charge current, and beam position monitors (BPMs) to check the
beam position. This paper aims to give an overview of the beam
instrumentation and briefly describes the design and parameters of
each diagnostic system. The results of numerical and dynamics
simulations of some of the instruments are briefed. Possible
scenarios of linac tuning are discussed.
Impermanence and failure: the legacy of conservation-based payments in Sumatra, Indonesia
Authors: Erbaugh James T
Published: April 2022

Projects that pay communities or individuals to conserve natural areas rarely continue indefinitely. When payments cease, the behaviors they motivate can change. Previous research on conservation-based payments recognizes the impermanence of conservation success, but it does not consider the legacy of payments that failed to effect change. This research assesses impermanence and failure by investigating the legacy of village-level conservation payments made through one of the largest Integrated Conservation and Development Projects in Indonesia. The Kerinci-Seblat Integrated Conservation and Development Project aimed to conserve forest area and promote local development through voluntary conservation agreements (VCAs) that provided payments for pro-conservation pledges and activities from 2000 through 2003. Project documentation and previous research find that payments failed to incentivize additional forest conservation, producing nonsignificant differences in forest-cover change during the project period. To examine the legacy of these payments in the post-project period, this research uses matched difference-in-differences and triple differences models to analyze forest cover change in villages (n = 263) from 2000 through 2016 as well as matched binary logistic regression models to assess enduring differences in household (n = 1303) livelihood strategies within VCA villages in 2016. The analysis finds that VCA villages contained significantly more forest loss than the most similar non-VCA villages outside the national park, and greater payments predict increased forest loss in the post-project period. In addition, farming high-value tree crops and cultivating private land were the most important attributes for modeling VCA affiliation among randomly selected households. These results demonstrate that, after payments ceased, project failures increased in severity over time.Those who design and implement conservation-based payments bear great responsibility to ensure their projects are informed by local voice, align with community preferences, and provide sufficient benefits, lest they result in a conservation legacy of increased failure.