bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of CNTs on Dynamic Performance of Carbon Fiber Composite Boring Bar
Authors: Zhang Jinfeng , Li Ningning , Feng Chao , Zhong Peisi , Liu Tingrui
Published: May 2023

In this paper, through the secondary development of the finite element software ABAQUS, we try to add different contents of CNT to the CFRP composite boring bar, and establish the finite element models with different CNT contents. Firstly, on the basis of the classical laminated plate theory, combined with the composite damping loss factor model and finite element analysis method, an improved numerical model of CFRP hollow shaft damping based on inverse deviatoric transformation is adopted. Secondly, the Lanczos method was used for modal analysis, and the natural frequencies, vibration modes, stress and strain components under different fiber orientation angles (0°, 30°, 45°, 60°, 90°) and different CNT content structure constraint modes were extracted. Combined with the finite element method, the damping numerical model based on modal strain energy is established, and the damping loss factor calculation program based on strain energy is compiled by using the powerful calculation ability of MATLAB. The extracted strain component data are brought into the compiled damping loss factor calculation program, and the damping loss factors under different modes can be calculated.
Simulation Analysis of Tooth Break Faults of Gear Transmission System based on Electromagnetic Torque Signal
Authors: Yan Xiuting , Lei Fasheng , Chen Wei , Yu Xiangqian , Huang Wei
Published: May 2023

The traditional gear fault simulation model focuses on the vibration signal. However, the vibration sensor is not easy to install, and the vibration signal is easily affected by the installation location and environment of the vibration sensor. The motor itself has the characteristic of sensor. But in the traditional integrated model of motor and gear, the gear model is established based on the dynamical equation of the gear. However, the gear transmission established by the dynamics of the gear can’t fully reflect the running state of the gear. Moreover, the more complex the gear transmission system, the more complex and inaccurate the dynamical equation will be. Based on the above situation, in this paper, the virtual prototype model of the two-stage gear transmission system with broken tooth fault in different parts of the gear is established in Adams, which is imported into Matlab and co-simulated with the motor control model built in Matlab. Then the electromagnetic torque signal is analyzed. The results show that different characteristic frequencies of gear faults can be detected in the electromagnetic torque signal. The virtual prototype model of gear transmission system can accurately reflect the motion state of gear, and the fault of the complex gear transmission system can be simulated.
Research on the Cooling Effect of Water Injection of the Deflector on Flame of the Vertical Launch Missile
Authors: Zhang Manman , Jiang Yi , Zhang Jingli , Lei Jing , Deng Yueguang
Published: May 2023

The high-temperature gas generated by the missile launch will cause serious ablation to the launcher. In order to study the thermal protection of the launch device, a scheme of arranging vertical upward water spray pipes in the deflector is proposed, which realizes the thermal protection of the launcher by the vaporization and heat absorption principle of liquid water and the impact effect. Based on the Mixture multiphase flow model, coupled with the vaporization equation of liquid water and the component transport model, the cooling mechanism and effect of the proposed scheme are analyzed. Meanwhile, the numerical simulation of gas flow field under different water injection speed conditions is carried out, and the change law between different water injection speed and cooling effect is obtained. The results show that after the water sprayed by the pipes laid in the deflector, a water film will be formed on the surface of the deflector and the wall of the launch vehicle, which plays a role in the isolation of the high-temperature gas. The temperature of the launch device drops significantly. With the increase of water injection speed, the thickness of the water film formed on the surface of the deflector and the wall of the launch vehicle becomes larger, and the isolation effect on the gas becomes more obvious. When the water injection speed increases to 55m/s, the vaporization rate of liquid water in the direct impact area of the gas jet reaches the maximum, the heat absorption is the most at the same time, and the temperature in this area reaches the lowest level. The cooling effect of the water spray speed of 55m/s on the flow field is the best. This conclusion can provide a theoretical reference for the thermal protection design of missile launcher.
Numerical Simulation of the Aerodynamic Performance of A U-Shaped Sail
Authors: Tian Feng , Huang Lianzhong , Wang Yingnan , Wang Kai , Ma Ranqi
Published: May 2023

For a U-shaped sail that has been applied on real ships, we establish a three-dimensional sail geometry model using SolidWorks, and obtain its numerical simulation results under 10 different angles of attack using Fluent to numerically simulate its aerodynamic performance. By comparing the calculated results with the wind tunnel test results, the simulation model proved to be effective. Then the interference effects between the twin sails of the U-shaped sail were investigated by using the sail simulation model.
Study on the Efficacy of Polyethylene Filled SBMBBR Process for Treating Low Temperature Municipal Wastewater
Authors: Ding Li , Zhang Tong , Ma Xuemin , Yu Pengfei , Zhang Yanping , Fu Jinxiang
Published: May 2023

To tackle the hassle of low efficiency of low temperature denitrification in wintry weather in northern region,Sequencing Batch Moving Bed Biofilm Reactor (SBMBBR) used to be used for deep treatment of low temperature municipal wastewater and polyethylene fillers have been compared. The outcomes confirmed that the Sequencing Batch Activated Sludge Reactor (SBR) used to be started correctly at 64 d beneath the prerequisites of water temperature 9-12 °C,pH 7-8 and HRT of 48 h,and two polyethylene fillers had vast biofilm after 7 d operation,and the elimination rates of COD,Ammonia Nitrogen and TP in polyethylene K3 fillers have been stabilized at 83.6%,74.4% and 60.8% respectively as the quality fillers after 24 d operation. After optimizing the process parameters,the steady effluent evaluation effect used to be determined for 27 d operation beneath the most advantageous anoxic (3 h) and aerobic time (7 h) modes of the reactor,and the corresponding elimination quotes of COD and Ammonia Nitrogen were 87.7% and 93.5%,respectively,and the corresponding average effluent concentrations had been 44.4 mg/L and 1.9 mg/L,which reached the Pollutant Discharge Standard for Urban Sewage Treatment Plants (GB 18918-2002). Two vital factors,Dissolved Oxygen (DO) concentration and Hydraulic retention time (HRT) in the aerobic part were studied,and the great HRT of 82 h was once performed in the biointensive domestication SBR machine under the stipulations of the foremost vary of DO attention of 6.0-7.5 mg/L in the aerobic part at low water temperature.
Moving Object Detection Based on Ghost and Shadow Removal
Authors: Zhou Dan , Liu Ying , Li Ke
Published: May 2023

With the rapid development of information technology and the popularization of security awareness, the society’s demand for intelligent video surveillance is higher and higher. As a key step, moving object detection with a long history of research and continuously changed research methods has become a frontier topic in various disciplines. Aiming at the removal of ghosts, this paper proposes an improved visual background extractor algorithm (Vibe), and then combines texture information to remove shadows which can achieve the purpose of removing heavy shadows and ghosts. Finally, achieving a good video moving target detection.
Automatic Geographic Information Classification Method Based on SVM for Site Selection of Stretch Field
Authors: Jing Wenchuan , Qiang Wang , Yang Jian , Wang Tao , Li Gang
Published: May 2023

In tension stringing construction, the site selection of the stretch field is related to the efficiency, safety and cost of the whole wire construction. Surrounding geographic information impacts the site selection extremely seriously. Accurate grasp of the surrounding geographic information along the transmission line is the key to ensure the optimal site selection of the stretch field. Aiming at the geographic image data along the transmission lines collected by the UAV, firstly, the map data is blocked using the image gradient information and the geometric topological relationship in the image; then, the histogram features of the gradient direction are extracted from the blocked data; finally, the support vector machine is used to train the extracted features, and the map data is classified according to the model obtained from the training, and finally the automatic classification and recognition of the geographic information along the transmission lines is obtained. The proposed method can achieve high recognition accuracy by using small samples for training. Through practice, the proposed method can accurately classify map data, thus providing a reliable guarantee for determining the surrounding geographic influences when selecting a site for a stretch field.
Estimation of the optimal number of neurons in extreme learning machine using simulated annealing and the golden section
Authors: Gelvez-Almeida E , Mora M , Huérfano-Maldonado Y , Salazar-Jurado E , Martínez-Jeraldo N , Lozada-Yavina R , Baldera-Moreno Y , Tobar L
Published: June 2023

Extreme learning machine is a neural network algorithm widely accepted in the scientific community due to the simplicity of the model and its good results in classification and regression problems; digital image processing, medical diagnosis, and signal recognition are some applications in the field of physics addressed with these neural networks. The algorithm must be executed with an adequate number of neurons in the hidden layer to obtain good results. Identifying the appropriate number of neurons in the hidden layer is an open problem in the extreme learning machine field. The search process has a high computational cost if carried out sequentially, given the complexity of the calculations as the number of neurons increases. In this work, we use the search of the golden section and simulated annealing as heuristic methods to calculate the appropriate number of neurons in the hidden layer of an Extreme Learning Machine; for the experiments, three real databases were used for the classification problem and a synthetic database for the regression problem. The results show that the search for the appropriate number of neurons is accelerated up to 4.5× times with simulated annealing and up to 95.7× times with the golden section search compared to a sequential method in the highest-dimensional database.
Analysis of the stresses for a bridge by the finite element method under the action of viscous damping
Authors: Oñate Ballesteros R D , Balcázar L A , Navarro A , Ospina Henao P A
Published: June 2023

Specifically speaking of the treatment of constructions (such as bridges), the importance of considering dynamic phenomena from the design phase lies in the fact that the protection of the construction against unwanted external disturbances, such as those produced by earthquakes and vehicle traffic, is guaranteed. automotive, among other causes, that may cause partial or total damage to the structure. As a tool, we have computer-aided design and engineering for the structuring of mechanical designs, which adds efficiency to detect design errors in early phases. The relevance of this project lies in the application of knowledge to the areas of computer-aided design in civil structures such as bridges, through computerized simulation in CSI Bridge and mathematical analysis to determine the efforts and graphically observe the behavior of the bridge when subjected to viscous damping. The physical relevance of this project lies in the application of knowledge to the design areas of civil structures such as bridges, through computerized simulation and mathematical and physical analysis to determine the efforts and graphically observe the behavior of the bridge when it is subjected to external disturbances that act as viscous damping. Physically, we model this damping as a friction force in general to solve the equation using numerical methods by changing different boundary conditions in the damping factor, which adds relevance to the computational modeling of the bridge and the study of its physical and mechanical properties.
Computational mathematics applied in the identification of the risk of indirect contagion of COVID-19 in university classrooms
Authors: Arceo-Díaz S , Bricio-Barrios E E , Carrillo-Alcaráz J , Lua-Madrigal O , Moreno-Peña J R
Published: June 2023

This exploratory study evaluated the risk of contagion from airborne diseases, such as coronaviruses, in schools. For three days, the concentration of carbon dioxide in two university classrooms was monitored for 90 minutes, while the students took their math classes. We use these values to validate a first-order model for carbon dioxide concentration and calculate the air exchange rate indirectly (avoiding the need for expensive measurement equipment). The air exchange rate obtained allowed us to assess whether the usual ventilation systems (both natural and mechanical) are sufficient to guarantee a low risk of contagion of aerosols due to respiration. The results show that the risk of contagion is low if three factors are considered: the level of conversation within the classroom, the usage of a moisture extraction system, and the lecture duration. The risk is low if the lecture time is less than 50 minutes, the level of conversation is moderate, and a moisture extraction system is available. If these conditions are not met the risk is considerably higher even if mechanical ventilation is employed.
Bismuth ferrite-barium titanate system studies around morphotropic phase boundary
Authors: Amaya S , Perez J , Colorado H , Echavarria A , Londoño F A
Published: June 2023

Nowadays, the electro-electronic industry and scientific community have a great interest in improving memory devices. A candidate is the bismuth ferrite owing to the coexistence of ferroelectricity and anti-ferromagnetism at room temperature, however, a high leakage current harms their ferroelectric properties. Thus, bismuth ferrite and barium titanate solutions improve the ferroelectric properties of bismuth ferrite and optimize the magnetoelectric coupling factor. This system is called multiferroic, materials exhibit the coexistence of ferromagnetic, ferroelectric, or ferro-elastic orders, which is of interest to the scientific physics community and electronic industry. In this paper, bismuth ferrite-barium titanate system around the morphotropic phase boundary was studied and analyzed. It was observed changes in the structural properties in function of barium titanate content. Calcination temperature was determined from thermogravimetric analysis curves to powders of bismuth ferrite-barium titanate system. Ceramic bodies were densified conventionally. Archimedes’ method was used for density measure. Ceramics with densities greater than 95% were obtained. 93% of the perovskite phase was obtained from structural results. Finally, structural properties were presented and analyzed using Mossbauer spectroscopy as complementary technique. These analyses are very important in solid state physics because to contribute to understanding the phenomenology and synthesis process of multiferroic materials.
Computational analysis of structure manufactured by means of the steel framing system. Case study: industrial warehouse
Authors: Fajardo J I , Paltán C A , Palacios E G
Published: June 2023

A study is carried out between the traditional system of industrial warehouse construction, which is characterized using hot-rolled steel profiles, in comparison with the Steel Framing system, which uses low-thickness cold-formed steel profiles. Although the low-thickness profiles used in Steel Framing may generate mistrust, these profiles work by shape and not by mass. Steel Framing being a modern system, in our region it is not easy to find industrial warehouse constructed with low-thickness cold-formed steel profiles for the main and secondary elements, so this study not only focuses on the constructive aspects, but also contributes to understand the physical response of the Steel Framing system to different loads. Between the two mentioned systems, the seismic-resistant design of the industrial structure is also included to first check if it is possible to use the Steel Framing system in medium industrial warehouse, located in highly seismic areas, such as the coastal region of Ecuador. It has been proven that the Steel Framing system is resistant to high winds, earthquakes and other loads that are established in national and international regulations, and we proved that taking advantage of the effective properties of cold-formed profiles increases their resistance The results of drifts demonstrate the seismic resistance of the system, with the value of 0.00107 being the maximum value of inelastic drift obtained in the X direction, which represents only 5.37% of the value allowed in the standard.
Log-linear modeling between risk factors and interactions for human papillomaviruses infection and papanicolaou smear abnormalities
Authors: Cuesta-Herrera L , Torres-Mantilla H A , Quintero-Vega M , Borges-Peña R , Martínez-Jeraldo N
Published: June 2023

Modeling qualitative variables and their interactions often require multidimensional analysis through Log-linear models. Furthermore, these models are useful as alternatives in fields where probabilistic classification is required, such as speech recognition or pattern classification. This work uses log-linear modeling as a methodological approach to the analysis of 1114 valid cases of women participating in a human papillomavirus infection and cervical cancer screening program, thus relating a public health problem to biophysical knowledge. The objective of the study was to evaluate the main effects and interactions between the variables compared to the independence model. A backward stepwise selection with a 5% probability of elimination was performed to arrive at the best hierarchical model starting on the covariates that were significant in a previous bivariate analysis. This allows us to understand how biophysical process modeling can identify biomarkers and propose prevention methods for human papillomavirus infection and Papanicolaou smear abnormalities.
Numerical proposal to solve Maxwell’s equations in a toroidal waveguide
Authors: González-Balaguera J , Sandoval-Amador A , V-Niño E D , Barba-Ortega J
Published: June 2023

In this contribution, we propose a numerical solution to the Maxwell equations to determine the electromagnetic fields in a toroidal dielectric wave-guide. Analyzing the relationship between the size of the cross-section of the toroid and its bending radius. We considered a sinusoidal time dependence of the electromagnetic field, then we just solve the Helmholtz equation in the waveguide. We propose a numerical way to solve this equation and analyze for to find the power radiation in each synchronous mode. We show a numerical method by calculating the frequencies and the loss factors for any mode in square, triangular, and round waveguides.
Matricials methods applied to the solution of the Ginzburg-Landau equations
Authors: Aguirre C A , Otálora J , Mosquera Polo A S , Barba-Ortega J
Published: June 2023

In this contribution we propose two numerical methods for the solution of the system of two non-linear coupled differential Ginzburg-Landau equations. These proposals are based firstly on taking a matrix view considering the quasi-linear coupled system, as a second option, considering the computational molecule with its respective restriction of the values and eigen-vectors of the matrix. We clearly and concisely obtained the eigenvalues that lead us to an optimal spatio-temporal convergence solution of said system of equations. We compare the numerical convergence times obtained by these three methods with the known time found by applying the link variable method.
Development of a readout electronic prototype system for the MWDC at the ETF in HIRFL-CSR
Authors: Xu Jiapeng , Sun Zhipeng , Chang Songbo , Pu Tianlei , Yan Junwei , Kong Jie , Yang Mingyu , Sun Zhikun , She Qianshun , Qian Yi
Published: May 2023

This paper proposes and implements a readout electronic prototype system for a Multi-Wire Drift Chamber (MWDC) detector. This system includes Front-End Electronics (FEE), Sub_Data Acquisition (Sub_DAQ), and Common Data Acquisition Unit (CDAU). Based on a self-developed Application-Specific Integrated Circuit (ASIC) chip, the FEE amplifies and reshapes the detector signals before transmitting them via a high-density micro-coaxial cable to the Sub_DAQ. The Sub_DAQ, based on a Field-Programmable Gate Array (FPGA), was designed to process MWDC signals. The Sub_DAQ can perform an analogue-to-digital conversion, online data processing, and package transmission before transmitting the data to the CDAU via a high-speed optical fibre link. The CDAU gathered data, online processed the data, and then transmitted the data to the computer via the PCIe 3.0 interface. This paper will discuss the design process, the implementation, and the initial test results of the readout electronic prototype system.
Incipient wing flapping enhances aerial performance of a robotic paravian model
Authors: Sathe Erik Andrew , Chronister Nathan J , Dudley Robert
Published: May 2023

The functional origins of bird flight remain unresolved despite a diversity of hypothesized selective factors. Fossil taxa phylogenetically intermediate between typical theropod dinosaurs and modern birds exhibit dense aggregations of feathers on their forelimbs, and the evolving morphologies and kinematic activational patterns of these structures could have progressively enhanced aerodynamic force production over time. However, biomechanical functionality of flapping in such transitional structures is unknown. We evaluated a robot inspired by paravian morphology to model the effects of incremental increases in wing length, wingbeat frequency, and stroke amplitude on aerial performance. From a launch height of 2.8 m, wing elongation most strongly influenced distance travelled and time aloft for all frequency-amplitude combinations, although increased frequency and amplitude also enhanced performance. Furthermore, we found interaction effects among these three parameters such that when the wings were long, higher values of either wingbeat frequency or stroke amplitude synergistically improved performance. For launches from a height of 5.0 m, the effects of these flapping parameters appear to diminish such that only flapping at the highest frequency (5.7 Hz) and amplitude (60°) significantly increased performance. Our results suggest that a gliding animal at the physical scale relevant to bird flight origins, and with transitional wings, can improve aerodynamic performance via rudimentary wing flapping at relatively low frequencies and amplitudes. Such gains in horizontal translation and time aloft, as those found in this study, are likely to be advantageous for any taxon that engages in aerial behavior for purposes of transit or escape. This study thus demonstrates aerodynamic benefits of transition from a gliding stage to full-scale wing flapping in paravian taxa.
Entanglement dynamics of multi-parametric random states: a single parametric formulation
Authors: Shekhar Devanshu , Shukla Pragya
Published: May 2023

A non-ergodic quantum state of a complex system is in general random as well as multi-parametric, former due to a lack of exact information due to complexity and latter reflecting its varied behavior in different parts of the Hilbert space. An appropriate representation for the reduced density matrix of such a state is a generalized, multi-parametric Wishart ensemble with unit trace. Our theoretical analysis of these ensembles not only resolves the controversy about the growth rates of the average information entropies of the generic states but also leads to new insights in their entanglement dynamics. While the state itself is multi-parametric, we find that the growth of the average measures can be described in terms of an information-theoretic function, referred as the complexity parameter. The latter in turn leads to a common mathematical formulation of the measures for a wide range of states; it could also act as a possible tool for hierarchical arrangement of the entangled states of different systems.
Self-similar solutions to the hypoviscous Burgers and SQG equations at criticality
Authors: Ohkitani Koji
Published: June 2023

After reviewing the source-type solution of the Burgers equation with standard dissipativity, we study the hypoviscous counterpart of the Burgers equation. (1) We determine an equation that governs the near-identity transformation underlying its self-similar solution. (2) We develop its approximation scheme and construct the first-order approximation. (3) We obtain the source-type solution numerically by the Newton–Raphson iteration scheme and find it to agree well with the first-order approximation. Implications of the source-type solution are given, regarding the possibility of linearisation of the hypoviscous Burgers equation. Finally we address the problems of the incompressible fluid equations in two dimensions, centering on the surface quasi-geostrophic equation with standard and hypoviscous dissipativity.
Nitrate and phosphate profiles in the Banda Sea during the northwest monsoon
Authors: Hamzah F
Published: June 2023

The Banda Sea (BS) is subjected to monsoonal winds that affected upwelled rich nutrient waters and primary production. However, nutrient characteristic in the region is less constrained. Here, we examine nitrate and phosphate profiles in the Banda Sea from data collected during the northwest monsoon. Waters along the surface density (σθ
) < 22 were dominated by less saline originating from western Indonesia (i. e., Java Sea), accompanied by Indonesian throughflow water Banda (23.0-25.0σθ
) and Banda water (26.5-27.0σθ
), respectively. Surface water was accompanied by low nitrite+nitrate (

N
O

2

−

+

N
O

3

−

) and phosphate (

P
O

4

3
−

), meanwhile, the average

N
O

2

−

+

N
O

3

−

and

P
O

4

3
−

concentrations in the upper 500 m were slightly higher in the western part than those in the eastern part suggesting additional sources from upwelled waters. Furthermore, the average nitrite+nitrate to phosphate ratio (N:P ratio) was 11.2:1, indicating nitrogen is a limiting factor for the growth of primary producers, and other sources may play a more dominant role. Two distinct layers in the euphotic zone within different sources and mechanisms namely the nutrient-depleted layer and nutrient-repleted layer were observed. Overall, the result of this study can only be seen as a starting point toward a comprehensive and holistic understanding of the nutrient biogeochemistry of the Indonesia Seas.
The estimation of total vertical uncertainty from multibeam echosounder during MeGaMal Expedition seafloor mapping for earthquake mechanism at Maluku Sea.
Authors: Dewi Amalia Fadila Restiani , Saputra Bayu , Frederik Marina , Haryanto Dwi , Puspitasari Trevi Jayanti , Febriawan Hendra Kurnia , Hananto Nugroho Dwi , Harahap Rastamauli Jabal , Fawaiz Ahmad , Dannari Arnold , Fauzi Anan , Rahmadani Prasetya Riski , Wijaya Rendra Hadi
Published: June 2023

In 2022, the Indonesian government initiated the EWIN MeGaMal expedition (Ekspedisi Widya Nusantara Mekanisme Gempa Laut Maluku). The goal of the expedition is to map earthquake and tsunamigenic potential areas around Ambon Island. The expedition was carried out from 8 to 28 August 2022 using RV Baruna Jaya VIII. One of the methods used in the expedition is the multibeam echosounder (MBES) survey. To obtain an accurate bathymetry result, several stages need to be carried out. Initially, a vessel reference frame (VRF) with a defined reference point called common reference point (CRP) needs to be established. Then, sensor offsets in 3D (three-dimensional) is measured with respect to CRP. The next stage is to calibrate and validate the vessel’s differential global navigation satellite system (D-GNSS) and Heading system statically. Afterwards, a patch test dynamic MBES calibration is performed. Finally, the accuracy of the bathymetry result is analyzed in accordance with the International Hydrographic Organization (IHO) SP 44. This paper is aimed to describe each of the above methodologies and present the preliminary result. Results show that the Patch Test calibration has values of roll: -0.19°, pitch: -5.40°, and yaw: 1.09°. It is expected this expedition could contribute for mitigation of earthquakes and tsunamis in Eastern Indonesia.
Water Carrying Capacity Determination based on Ecosystem Services in GKS Metropolitan Area
Authors: Firmansyah F , Yusuf M , Jatayu A , Syafitri R A W D
Published: June 2023

Gerbangkertasusila (GKS) Metropolitan Area is a strategic area with an urban nature that has a very fast economic, physical, and demographic acceleration. This rapid development has caused pressure on the environment, and has caused the depletion of natural resources, especially water resources. Water resources are the most important natural resources and are related to a series of ecosystem services such as flood management, water purification, recreation and especially water supply. Water supply can be assessed from a supply and demand perspective. In Indonesia, the process of calculating the carrying capacity of water is calculated spatially using the scale grid system method. The use of this method aims to reduce the limitations of data that has different scales, to facilitate the process of merging or aggregating data to get more in-depth results. Therefore, it is interesting to use this method to assess the status of water carrying capacity in the GKS Area, given the importance of the GKS role on a local and regional scale in East Java Province. In addition, this method is relatively new, so there are not many cities in Indonesia that apply this method to assess water carrying capacity.
Analysis of the problem on street vendor relocation in Menara Kudus Tourist Area
Authors: Rahman B , Noviani A
Published: June 2023

This paper examines the problems in relocating street vendors in the religious tourism area of Menara Kudus. The relocation of street vendors does improve the visual quality and environment of the region, but it becomes a problem for street vendors, especially in the decline of consumers, revenue and the return of street vendors to the original location. Using qualitative methodology, this study examines the problem of relocation more deeply through depth interview analysis with street vendors. The results showed that there are problems in each parameter, such as the visibility of relocation sites whose image is less potent when compared to parks. Accessibility that this type of mode of transportation cannot traverse. The environment where the relocation is different from the flexibility of the previous environment. Limited land expansion that requires temporary arrangements related to land use. Competition with street vendors in the red zone (on street) can be in direct contact with consumers compared to the relocation of street vendors.
Analysis of Factors that Determine Investment Attractiveness in Balikpapan City
Authors: Ajeng Nugrahaning D , Frigate R. , Elin Diyah S. , Ulimaz Mega
Published: June 2023

Economic development has recently been delegated to local governments as a form of implementation of Regional Autonomy according to the regulations concerning Regional Government. Through regional autonomy, the development of potential and resources can be utilized and managed optimally by local governments for the benefit of the community. However, disparities between regions still occur, especially between western and eastern Indonesia. This is due to the “Java-centric” development concept that has been going on for decades. The relocation of the National Capital City (IKN) of the Archipelago is considered to be a solution for equitable development which has been centered on the island of Java and to grow the economy around the new IKN areas, especially the buffer areas. Balikpapan City is the city with the third-best GRDP in East Kalimantan Province, which is largely supported by the oil and gas processing industry. In addition, Balikpapan City is one of the buffers for IKN because its location is close to IKN and already has a several-established infrastructure. The potential possessed is expected to become an economic driver for equitable development that has been Java-centric. In addition, the transfer of IKN also aims to restore the national economy through investments in the IKN buffer. Therefore, this research aims to analyze what factors determine the attractiveness of investment in Balikpapan City. The method used in this research is the Analytical Hierarchy Process (AHP) method. Based on the results of the analysis conducted on five factors, namely bureaucracy and government, social, economic, resources, and availability of infrastructure, it was found that the main priority factor determining investment attractiveness is the availability of infrastructure.
Speeding up qubit control with bipolar single-flux-quantum pulse sequences
Authors: Vozhakov Vsevolod , Bastrakova Marina , Klenov Nikolay , Satanin Arkady , Soloviev Igor
Published: May 2023

The development of quantum computers based on superconductors requires the improvement of the qubit state control approach aimed at the increase of the hardware energy efficiency. A promising solution to this problem is the use of superconducting digital circuits operating with single-flux-quantum (SFQ) pulses, moving the qubit control system into the cold chamber. However, the qubit gate time under SFQ control is still longer than under conventional microwave driving. Here we introduce the bipolar SFQ pulse control based on ternary pulse sequences. We also develop a robust optimization algorithm for finding a sequence structure that minimizes the leakage of the transmon qubit state from the computational subspace. We show that the appropriate sequence can be found for arbitrary system parameters from the practical range. The proposed bipolar SFQ control reduces a single qubit gate time by halve compared to nowadays unipolar SFQ technique, while maintaining the gate fidelity over 99.99%.
Drawing fracture behavior and mechanism analysis of ER50-6G welding wire steel
Authors: Zuo Maofang , Zuo Qingyuan , Ma Zhengwei , Liu Fangguo , Liu Xindi , Fang Xing
Published: May 2023

In this paper, we investigated the drawing fracture behavior of ER50-6G welding wire steel and analyzed the factors affecting the fracture, such as continuous casting slag and inclusion, billet structure segregation, Ti inclusion, surface defect inheritance, metallographic structure type, fracture morphology, and so on. OLYMPUS GX53 optical microscope was used to observe and analyze the macrostructure of the cross-section and longitudinal section of the continuous casting billet and the original quality state of the wire rod surface. The continuous cooling transformation curve (CCT curve) of the steel was measured using a DIL805A thermal dilatometer and a Gleeble-3500 thermal simulation test machine. The microstructures of the non-fracture area and drawing fracture of wire rod samples were observed through a ZEISS-ULTRA scanning electron microscope. The results show that the austenite starting transformation temperature (Ac1) and the austenite finishing transformation temperature (Ac3) of ER50-6G welding wire steel are 732 °C and 865 °C, respectively. Under the actual cooling conditions of online production, the strip structure is composed of ferrite (F), pearlite (P), and a small amount of bainite (B). There is a small amount of slag and inclusion in the continuous casting billet; in addition, Al2O3 inclusions and TiC (or Ti(C,N)) inclusions can be observed in the wire rod. The scratch depth of the wire rod surface is 24∼62 μm and the width is 31∼50 μm. With the increase in drawing cumulative deformation, the Al2O3 and TiC (or Ti(C,N)) inclusions that are not easy to deform lead to drawing fracture and brittle fracture. In addition, a small amount of bainite in the wire rod microstructure causes the fracture of the wire with a fine diameter, whereas, the limited-depth scratches on the steel surface do not have an obvious effect on the drawing fracture.
The Comprehensibility and Appreciation of Non-Binary Pronouns in Newspaper Reporting. The Case of Hen and Die in Dutch
Authors: Decock Sofie , Van Hoof Sarah , soens Ellen , Verhaegen Hanne
Published: June 2023

This paper examines the effect of the recently introduced Dutch non-binary 3rd person pronouns hen and die on tesssxt comprehensibility and text appreciation in the context of newspaper reporting on non-binary persons. Moreover, it presents a first measurement of Flemish people’s familiarity with and attitudes towards this pronominal reform in Dutch in its early stage. In a survey experiment we compared the use of non-binary hen and die (both combined with hen as object and hun as possessive form) with established referential strategies. We also examined the potential mediating role of perceived awkwardness of the referential strategy used and tested the moderating effect of cueing, i.e. making readers aware of the fact that the person reported on identifies as non-binary and prefers non-binary pronouns. The results show that perceived awkwardness explains the lower comprehensibility and appreciation scores of non-binary hen and that cueing improves those scores. Overall, our findings suggest that especially the non-binary pronoun die has the potential to be successfully implemented.
DCiPatho: deep cross-fusion networks for genome scale identification of pathogens
Authors: Jiang Gaofei , Zhang Jiaxuan , Zhang Yaozhong , Yang Xinrun , Li Tingting , Wang Ningqi , Chen Xingjian , Zhao Fang-Jie , Wei Zhong , Xu Yangchun , Shen Qirong , Xue Wei
Published: May 2023

Pathogen detection from biological and environmental samples is important for global disease control. Despite advances in pathogen detection using deep learning, current algorithms have limitations in processing long genomic sequences. Through the deep cross-fusion of cross, residual and deep neural networks, we developed DCiPatho for accurate pathogen detection based on the integrated frequency features of 3-to-7 k-mers. Compared with the existing state-of-the-art algorithms, DCiPatho can be used to accurately identify distinct pathogenic bacteria infecting humans, animals and plants. We evaluated DCiPatho on both learned and unlearned pathogen species using both genomics and metagenomics datasets. DCiPatho is an effective tool for the genomic-scale identification of pathogens by integrating the frequency of k-mers into deep cross-fusion networks. The source code is publicly available at https://github.com/LorMeBioAI/DCiPatho.
Circulating proteins and peripheral artery disease risk: observational and Mendelian randomization analyses
Authors: Yuan Shuai , Titova Olga E , Zhang Ke , Chen Jie , Li Xue , Klarin Derek , Åkesson Agneta , Damrauer Scott M ,   VA Million Veteran Program, Larsson Susanna C
Published: May 2023

Aims

We conducted observational and Mendelian randomization (MR) analyses to explore the associations between blood proteins and risk of peripheral artery disease (PAD).

Methods and results

The observational cohort analyses included data on 257 proteins estimated in fasting blood samples from 12 136 Swedish adults aged 55–94 years who were followed up for incident PAD via the Swedish Patient Register. Mendelian randomization analyses were undertaken using cis-genetic variants strongly associated with the proteins as instrumental variables and genetic association summary statistic data for PAD from the FinnGen study (11 924 cases and 288 638 controls) and the Million Veteran Program (31 307 cases and 211 753 controls). The observational analysis, including 86 individuals diagnosed with incident PAD during a median follow-up of 6.6-year, identified 13 proteins [trefoil factor two, matrix metalloproteinase-12 (MMP-12), growth differentiation factor 15, V-set and immunoglobulin domain-containing protein two, N-terminal prohormone brain natriuretic peptide, renin, natriuretic peptides B, phosphoprotein associated with glycosphingolipid-enriched microdomains one, C-C motif chemokine 15, P-selectin, urokinase plasminogen activator surface receptor, angiopoietin-2, and C-type lectin domain family five member A] associated with the risk of PAD after multiple testing correction. Mendelian randomization analysis found associations of T-cell surface glycoprotein CD4, MMP-12, secretoglobin family 3A member 2, and ADM with PAD risk. The observational and MR associations for T-cell surface glycoprotein CD4 and MMP-12 were in opposite directions.

Conclusion

This study identified many circulating proteins in relation to the development of incident PAD. Future studies are needed to verify our findings and assess the predictive and therapeutic values of these proteins in PAD.
A Dance of Crown and Parliament: Empire and Reform in the Age of Liverpool
Authors: McKenzie Kirsten , Ford Lisa
Published: May 2023

The apparent contradictions of British politics in the early nineteenth century have long confounded historians. Lord Liverpool’s ministry (1812–27) vehemently, and often violently, rejected constitutional change. Yet it simultaneously implemented a raft of improvements in governance. We argue here that empire is key to resolving this conundrum. Particularly from 1822, the Liverpool ministry launched a constitutional overhaul of empire through one of the most ambitious information-gathering efforts undertaken by the British imperial state: commissions of inquiry. Creatures of the royal prerogative, these investigations amassed ‘on the spot’ information to underpin genuine conservative interventions into colonial law and governance. At the same time, they curated colonial controversy in order to subvert hostile parliamentary interference at a time when Liverpool’s hold on power was particularly tenuous. Inquiry and reform were profoundly shaped by the delicate dance of Crown and parliament. By exploring three moments of controversy in New South Wales, Jamaica and the Cape Colony between 1819 and 1826, we argue that colonial royal commissions showcase the workings of Tory innovation by laying bare the mix of reformism, conservatism and pragmatism that undergirded this unstable regime.
Practice of neuromonitoring in open and endovascular thoracoabdominal aortic repair—an international expert-based modified Delphi consensus study
Authors: Schachner Thomas , Gottardi Roman , Schmidli Jürg , Wyss Thomas R , Van Den Berg Jos C , Tsilimparis Nikolaos , Bavaria Joseph , Bertoglio Luca , Martens Andreas , Czerny Martin ,   Aortic Association Study Group, Preventza Ourania , Matsuda Hitoshi , Jacobs Michael , Reutersberg Benedikt , Chiesa Roberto , Probst Chris , Piffaretti Gabriele , Di Eusanio Marco , Sorokin Vitaly , Verzini Fabio , Szeberin Zoltan , Cheng Stephen Wk , Di Marco Luca , Gosslau Yvonne , Matalanis George , Tsagakis Konstantinos , Oderich Gustavo , Jakobsen Øyvind , Oo Aung , Koshty Ahmed , Pichlmaier Maximilian , Kolowca Maciej , Heijmen Robin H , Mendes Pedro Luís , Fourneau Inge , Zimmermann Alexander , Minatoya Kenji , Haulon Stephan , Luehr Maximilian , Reeps Christian , Sioris Thanos , Nienaber Christoph , Trimarchi Santi , Elefteriades John A , Weigang Ernst , Kuratani Toru , Meisenbacher Katrin , Jassar Arminder , Grabenwoeger Martin , D’Oria Mario , Fink Martina , van Herwaarden Joost , Rosati Fabrizio , Verhoeven Eric , Szopiński Piotr , Lescan Mario , Assadian Afshin , Okita Yutaka , Park Kay-Hyun , Marrocco-Trischitta Massimiliano
Published: May 2023

OBJECTIVES

Spinal cord injury is detrimental for patients undergoing open or endovascular thoracoabdominal aortic aneurysm (TAAA) repair. The aim of this survey and of the modified Delphi consensus was to gather information on current practices and standards in neuroprotection in patients undergoing open and endovascular TAAA.

METHODS

The Aortic Association conducted an international online survey on neuromonitoring in open and endovascular TAAA repair. In a first round an expert panel put together a survey on different aspects of neuromonitoring. Based on the answers from the first round of the survey, 18 Delphi consensus questions were formulated.

RESULTS

A total of 56 physicians completed the survey. Of these, 45 perform open and endovascular TAAA repair, 3 do open TAAA repair and 8 do endovascular TAAA repair. At least 1 neuromonitoring or protection modality is utilized during open TAAA surgery. Cerebrospinal fluid (CSF) drainage was used in 97.9%, near infrared spectroscopy in 70.8% and motor evoked potentials or somatosensory evoked potentials in 60.4%. Three of 53 centres do not utilize any form of neuromonitoring or protection during endovascular TAAA repair: 92.5% use CSF drainage; 35.8%, cerebral or paravertebral near infrared spectroscopy; and 24.5% motor evoked potentials or somatosensory evoked potentials. The utilization of CSF drainage and neuromonitoring varies depending on the extent of the TAAA repair.

CONCLUSIONS

The results of this survey and of the Delphi consensus show that there is broad consensus on the importance of protecting the spinal cord to avoid spinal cord injury in patients undergoing open TAAA repair. Those measures are less frequently utilized in patients undergoing endovascular TAAA repair but should be considered, especially in patients who require extensive coverage of the thoracoabdominal aorta.