bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Tarif Dan Load Factor Bus Batik Solo Trans Koridor 3 Pada Masa Pandemi COVID-19
Authors: Azzahra Ivonne Fresha , Yulianto Budi , Musthofiah H. M. Amirotul 
Published: December 2022

<p>Dua tahun sudah Indonesia dihadapkan dengan pandemi COVID-19, banyak perubahan tatanan kehidupan di sektor transportasi dan ekonomi<strong>.</strong><strong> </strong>Moda transportasi dianggap sebagai sarana pergerakan manusia yang berpotensi cukup besar dalam penyebaran COVID-19. Hal tersebut mempengaruhi pola pikir masyarakat yang lebih memilih kendaraan pribadi daripada kendaraan umum. Perubahan ekonomi yang terjadi berpengaruh pada pendapatan masyarakat serta harga komponen biaya operasional kendaraan umum. Penelitian ini bertujuan untuk mengetahui desain tarif bus BST koridor 3 berdasarkan ATP, WTP dan BOK. Penentuan jumlah sampel menggunakan metode slovin. Data diperoleh dari survei wawancara kepada penumpang dan PT. BST. Analisis ATP dilakukan berdasarkan pendapatan, alokasi biaya transportasi dan frekuensi perjalanan dalam 1 bulan. Sedangkan analisis WTP berdasarkan kemauan membayar masyarakat terhadap pelayanan bus BST saat ini. Berdasarkan analisis data dan pembahasan dalam penelitian ini didapatkan bahwa hasil ATP umum lebih besar dari pada WTP umum. Nilai ATP umum yaitu sebesar Rp4.372,93 dan nilai WTP umum yaitu sebesar Rp3.625,34. Sedangkan untuk nilai ATP mahasiswa/pelajar yaitu sebesar Rp1.809,29 lebih kecil dari pada nilai WTP mahasiswa/pelajar yaitu sebesar Rp2.482,14. Untuk nilai tarif BOK berdasarkan metode Departemen Perhubungan 2002 didapatkan sebesar Rp10.573,60/penumpang/rit dengan <em>load factor</em> sebesar 117,80%. </p>
Analisis Kinerja Simpang Bersinyal Pada Simpang Empat Tugu Wisnu dan Simpang Empat Girimulyo Kota Surakarta Dengan Menggunakan Perangkat Lunak PTV Vistro
Authors: Thahir Afief Burhany , Yulianto Budi , Setiono Setiono 
Published: December 2022

<p>Jalan Ahmad Yani merupakan salah satu jalan di Kota Surakarta dengan arus volume lalu lintas kendaraan yang relatif padat. Ruas Jalan Ahmad Yani menjadi salah satu ruas jalan yang menerima arah pergerakan dari ruas Jalan Adi Sucipto, Jalan Slamet Riyadi, serta ruas Jalan Kolonel Sutarto dengan bangkitan dan tarikan arus lalu lintas yang tinggi. Salah satu titik kemacetan pada ruas Jalan Ahmad Yani adalah Simpang Empat Tugu Wisnu serta Simpang Empat Girimulyo. Dalam mengatasi masalah tersebut, diperlukan analisis kinerja simpang bersinyal pada Simpang Empat Tugu Wisnu dan Simpang Empat Girimulyo. Penelitian ini memiliki tujuan untuk melakukan analisis kinerja simpang bersinyal Simpang Empat Tugu Wisnu dan Simpang Empat Girimulyo berdasarkan perangkat lunak PTV Vistro dengan metode HCM 2010, serta melakukan pemodelan dan perbandingan dengan skenario kondisi eksisting dan skenario optimasi berdasarkan parameter tundaan (<em>delay</em>) dan derajat kejenuhan (<em>degree of saturation</em>). Hasil analisis menunjukkan kinerja simpang bersinyal dengan perangkat lunak PTV Vistro mengalami peningkatan kinerja pada skenario optimasi bila dibandingkan dengan kondisi eksisting berdasarkan parameter tundaan (<em>delay</em>) dan derajat kejenuhan (<em>degree of saturation</em>). Perbandingan hasil analisis antara skenario kondisi eksisting dan skenario optimasi menghasilkan nilai terbaik pada kondisi skenario optimasi tunggal dengan fungsi <em>Minimize Critical Movement Delay</em> (<em>Split and Cycle Time</em>) bila dilihat pada parameter tundaan dan derajat kejenuhan.</p><p> </p>
ANALISIS PENGGUNAAN PREFABRICATED VERTICAL DRAINS (PVD) MENGGUNAKAN SIGMA/W GEOSTUDIO DENGAN MATERIAL TANAH LUNAK MODEL LINEAR ELASTIC
Authors: Borsalino Pupung , Setiawan Bambang , Chrismaningwang Galuh 
Published: December 2022

Jurnal berisikan analasisis perbandingan antara hasil analisis penggunaan Prefabricted Vertical Drains (PVD) di tanah lunak menggunakan metode konvensional Hansbo (1979) dan hasil pemodelan dengan Sigma W GeoStudio dengan model tanah lunak menggunakan linear elastic. Kondisi yang dianalisis kondisi tanah lunak dengan beban timbunan di atasnya tanpa adanya perbaikan, kondisi kedua dengan PVD tanpa memperhitungkan efek smear zone, dan dengan PVD dengan memperhitungkan efek smear zone. Hasil analisis berupa grafik hubungan besaran penurunan dengan waktu yang diperlukan. Hasil dengan pemodelan software memiliki variasi deformasi pada tanah akibat beban yang bekerja, dengan pola waktu yang diperlukan untuk mencapai derajat konsolidasi (U) 90%. Pola waktu yang diperoleh dari ketiga kondisi dan deformasi yang dihasilkan dapat dilakukan perbandingan kedua analisis.
DETERMINATION OF THE PHYSICO-CHEMICAL CHARACTERISTICS OF A MAGNETIC LIQUID IN THE IMPLEMENTATION OF THE METHOD BASED ON AN ELECTROMAGNETIC CONVERTER
Authors: Pyrozhenko Ye. , Sebko V. , Zdorenko V. , Babenko V. , Zabiiaka N. 
Published: December 2022

A non-contact three-parameter electromagnetic method for measuring magnetic susceptibility κ, electrical conductivity χ, and temperature t of a ferrofluid sample is proposed. Theoretical principles of the operation of the inductive parametric electromagnetic transducer (IPET) with a sample of ferro-fluid are considered. As a result of studies of the universal functions of transformation of the IPET with a sample of the ferro-fluid, the theoretical provisions of the work of the IPET were further developed, which are related to the possibility of estimating the static parameters of the magnetic fluid. Because record of the effect of eddy currents leads to the need to determine three parameters of magnetic fluids with only one IPET, the necessity of using an inductive IPET switching circuit with a ferro-fluid sample, which provides for compensation of interfering external inductance L1 using a compensating capacitance P567 to improve the accuracy of measurements of the physical and chemical parameters of magnetic fluids, has been proved. The operation of the circuit is based on the fact that the eddy EMF excites a magnetic flux in the sample of the magnetic fluid under study, which is added geometrically with the excited magnetic flux from an external source, creating the resulting magnetic flux Ф2t in the sample of the magnetic fluid under study, while the resulting magnetic flux decreases in magnitude and shifts by the phase angle in relation to the excited magnetic flux, all this leads to a change in the components of the signals of the IPET, that is: inductance Lit and resistance Ω2t, which are associated with the physicochemical parameters κ, χ and t of the magnetic fluid sample.
In further studies, in order to increase the efficiency of wastewater treatment of a mini-brewery, it is recommended to use a magnetic fluid in complex cleaning methods that involve the use of magnetic fluids in filters for post-treatment of wastewater from food production of acidic and alkaline composition.
Time Series Outlier Removal and Imputing Methods Based on Colombian Weather Stations Data
Authors: Parra-Plazas Jaime , Gaona-Garcia Paulo , Plazas-Nossa Leonardo 
Published: December 2022

Abstract
The time data series of weather stations are a source of information for floods. The study of the previous wintertime series allows knowing the behavior of the variables and the result that will be applied to analysis and simulation models that feed variables such as flow and level of a study area. One of the most common problems is the acquisition and transmission of data from weather stations due to atypical values and lost data, this generates difficulties in the simulation process. Consequently, it is necessary to propose a numerical strategy to solve this problem. The data source for this study is a real database where these problems are presented with different variables of weather. This study is based on comparing three methods of time series analysis to evaluate a multivariable process offline. For the development of the study, we applied a method based on the Discrete Fourier Transform (DFT) and we contrasted it with methods such as the average and linear regression without uncertainty parameters to complete missing data. The proposed methodology entails statistical values, outlier detection and the application of the DFT. The application of DFT allows the time series completion, based on its ability to manage various gap sizes and replace missing values. In sum, DFT led to low error percentages for all the time series (1% average). This percentage reflects what would have likely been the shape or pattern of the time series behavior in the absence of misleading outliers and missing data.
Brain-wide dendrites in a near-optimal performance of dynamic range and information transmission
Authors: Lin Congping , Zhang Yiwei , Xu Fan 
Published: December 2022

Abstract
Dendrites receive and process signals from other neurons, and transfer the information to soma. The range of signal intensities that can be processed is referred as dynamic range. We model dendrites in a neuron as multiple excitable binary trees connected to a common soma and each node in dendrites can be excited by external stimulus or by receiving signals transmitted from adjacent excited nodes. We find that even with equal forward and backward transmission probability through dendrites, double sigmoid behavior can appear for neurons with a large number of somatic branches. We show that the dynamic range of dendrites increases with the interaction probability and the number of somatic branches, and decreases with the asymmetry of dendrites. Moreover, we show that neurons with more somatic branches perform with low energy costs and more efficiency for information transmission. However, further increasing the number of somatic branches (e.g. beyond 10 somatic branches), has limited ability to improve the transmission efficiency; with brain-wide neuron digital reconstructions of the pyramidal cells, 90% of neurons have no more than 10 dendrites. These suggest that actual dendrite morphology is near optimal with an intermediate number of somatic branches, in terms of dynamic range and information transmission.
Effect of kyphosis in ankylosing spondylitis on cardiopulmonary function
Authors: yang yunfei , xia qingfu , huang lijun , zhao guofeng , xia jiyuan , tian xinqi , liu chang 
Published: December 2022

Abstract
Purpose: To analyze the characteristics of cardiopulmonary function in patients with ankylosing spondylitis (AS), and explore the influence of global kyphosis (GK) on cardiopulmonary function.
Method: Clinical data of 46 AS patients with kyphosis admitted to our hospital from October 2021 to October 2022 were retrospectively analyzed. According to the to global kyphosis Angle, they were divided into severe group (GK > 95°), 23 cases in the moderate group (80° ≤ GK ≤ 95°). Cardiac structure, function and lung function parameters were compared between the two groups, and the effects of GK Angle on other parameters were analyzed by Pearson or Spearman correlation analysis.
Result: The cardiac structure and function measurements in both groups were within the normal range, and the atrioventricular size in the severe group was significantly smaller than that in the moderate group (P < 0.05), left ventricular diastolic function parameters E/A, e’/a’ were significantly lower than those in moderate group (P < 0.05), and E/e’ was significantly higher than that in moderate group (P < 0.05). The lung function of the two groups was decreased to varying degrees. The restrictive ventilation function, small airway function and ventilation function parameters of the severe group were significantly lower than those of the moderate group (P < 0.05). Correlation analysis showed that GK Angle was significantly negatively correlated with left atrioventricular size (LAD, LVDD, LVSD) and diastolic function parameters (E/A, e’/a’) in AS patients (P < 0.05); GK Angle was negatively correlated with restrictive ventilation parameters in AS patients (P < 0.05).
Conclusion: The GK Angle of AS affects the heart structure and diastolic function. The larger the GK Angle is, the smaller the left and right atventricle diameters are. In addition, GK Angle also affects left ventricular diastolic function. GK Angle is related to the degree of lung function impairment, and the larger the GK Angle, the worse the lung function.
Carbon reduction of plastic’s circular strategies: tracking the effects along supply chains with waste input-output modeling
Authors: Chen Pi-Cheng , Chien Jui-Hao Chang 
Published: December 2022

Abstract
Plastic is a material associated with various GHG emissions along the life cycles of different products. Many economies have adopted or planned for strategies to reduce, reuse, and recycle plastic goods and materials. The benefits of reductions in waste generation and GHG emissions need to be evaluated for setting the priority to select policy instruments for managing various plastic materials, products, and wastes. Several studies have made evaluations for the circulation of plastic using different models. However, many models for the circular economy focused on the effect on the macroeconomy rather than the detailed supply chain effects of an individual policy proposal. The reason could be the lack of an environmental assessment model with sufficient clear resolutions in the sectors, waste types, and waste treatments. In addition, the structure of the models limits many studies in modeling the scenarios diverting end-of-life products from waste treatments to recycling and reuse as secondary materials. To bridge this gap, this study adopted the waste input-output analysis methodology and compiled the models of baseline and four scenarios using the data of Taiwan with reference to a classification of four kinds of circular intervention from a review paper. We provide the details about the modeling results and settings for diverting plastic to the solid recovered fuel for power generation, closing the loops of plastic bags, extending the life of plastic cabinets and other plastic products, and improving the plastic products supply chain’s resource efficiencies. In the illustration of the results of GHG reductions in the supply chains and waste treatment activities, we present Sankey diagrams, which make the analysis of supply chains more straightforward. The developed method to render the Sankey diagram from the modeling result of an input-output-based model is presented in this article.
Gravitational Effect on Fundamental Physical Observables
Authors: Kurihara Yoshimasa 
Published: December 2022

Abstract
This report studies possible gravitational effects on measurements of fundamental physical observables such as the fine structure constant and the lepton magnetic moment. Although a static gravitational potential does not contribute to physical observables owing to Einstein's equivalent principle, a dynamic degree with finite momentum transfer can contribute to them. In other words, a laboratory frame fixed on the Earth is not an inertial system; thus, Earth's gravity can contribute to local observables. We investigate experimental results measuring the fine structure constant and electron and muon magnetic moments using the quantum field theoretic method under the Schwarzschild background field.
We prepare classical vierbein and spin-connection fields owing to the Schwarzschild metric in the momentum space of the local Lorentz space and estimate possible gravitational effects at the surface of the Earth as O(10-9), which is consistent with the current discrepancy between measured and calculated values of the muon anomalous magnetic moment. On the other hand, the gravitational effect does not contribute to the fine structure constant measurements.
We propose a possible test of gravitational effects in particle physics using precise measurement of muon properties in the J-PARK.
PACS numbers: 04.62.+v,13.40.Em,13.40.Gp
Gait parameter change among infantry soldiers with and without a history of lower leg overuse injury
Authors: Nesterovica Daria , Vaivads Normunds , Stepens Ainars 
Published: December 2022

Abstract
Background
A high incidence of lower leg overuse injury has been observed among military populations. Footwear usage could be promising in reducing the risk of injury from overuse of the lower extremities. The purposeof this study was to identify possible gait-related risk factors for lower leg overuse injurieswhen walking barefoot and in military boots.
Methods
Cases (n=32) were active-duty infantry soldiers from Latvian Land Forces with a history of overuse injury during the last 6 months of service before entering the study. During the study period, the cases recovered completely from the injury, did not report any functional limits, and were able to participate in all kinds of physical activities. Controls (n=32) of the same age and gender were free of injury in the same time period. Study subjects were instructed to walk on a 5-meter walkway in the gait laboratory. Rearfoot eversion, ankle plantar/dorsiflexion and stride time, length and variability were evaluated for barefoot and shod conditions.
Results
Gait-related parameters during shod and barefoot conditions differ in both groups. The barefoot stride time and the stride time variability were statistically different between cases and controls. No significant differences were found for stride length and stride time variability among groups. Conditional regression analysis showed that stride time variability during barefoot gait statistically significantly predicted the risk oflower leg overuse injury. ROC analysis showed an AUC of 0.77 (p<0.001; 95% CI 0.648-0.883), a sensitivity of 56%, and aspecificity of 88%, with an optimal cut-off value for stride time variability of 1.95%.
Conclusions
The risk of injury was independent of thegait-related characteristics during shod gait. Stride time variability has low sensitivity, but if the variability value during the barefoot walk is less than 1.95%, it can be considered a negative risk factor for lower leg overuse injury among infantry soldiers.
Trial registration
Not applicable.
The basis of S-R learning: associations between individual stimulus features and responses
Authors: Verwey Willem B. 
Published: December 2022

Abstract
Three experiments are reported testing the hypothesis that response selection skill involves task-dependent associations between a stimulus feature and a response. In the experiments, participants first practiced responding to either the orientation or the color of a line stimulus after which they responded to the other stimulus feature. The question was whether a consistency effect would occur in that response time would be affected by the consistency of the then irrelevant stimulus feature. RTs and errors supported this prediction for stimulus orientation, which confirms development of associations between that feature and the response. There was only limited evidence for color-response associations which could be attributed to the slow identification of the color feature. It appeared that during practice participants could ignore the irrelevant feature but that after practice identification of that feature was mandatory. These results indicate that the typical improvement with practice in selection tasks is caused in part by an association between the most rapidly identified stimulus feature and the following response without the need to wait to identify other stimulus features.
Selfish node detection algorithm based on fuzzy game theory in mobile social networks
Authors: Ghorbanalizadeh Mojtaba , Derakhshanfard Nahideh , Jafri Nima 
Published: December 2022

Abstract
Mobile social networks include a self-organizing system consisting of several mobile wireless nodes. Node behavior due to selfishness can significantly reduce performance on mobile social networks. A selfish node intends to use its resources only for itself and is reluctant to share them its neighbors. Therefore, identifying selfish nodes is very important to improve the performance of mobile social networks. In this paper, an improved method based on credit history for optimal detection of selfish nodes using the information distribution method is presented. The proposed method effectively recognizes selfish nodes and increases the cooperate motivation between network nodes. Among the various models, the fuzzy game theory model used to encourage the cooperation of selfish nodes is more efficient and about 98.5% of the packets have reached their destination on time, which in terms of energy consumption, delivery time and best use of the intermediate nodes outperforms other methods. If several intermediate nodes were willing to send packets, the node that had better conditions and provided better parameters and resources in return of the appropriate reward, was used based on the importance of the parameters in timely sending and lowest energy consumption. The remaining 1.5% of the nodes that were not suitable, removed from the network.
Procurement Auctions with Losses
Authors: Heymann Benjamin , Jofré Alejandro 
Published: December 2022

Abstract
To study first-price procurement auctions in the presence of losses, we introduce a new fixed point gradient flow algorithm to compute the Bayesian Nash Equilibrium. We use this efficient algorithm to compare optimal, first-price and VCG auctions. This allows us to numerically estimate the social cost of sub-optimality of the nodal pricing mechanism in wholesale electricity markets. We also derive a closed form expression of the optimal mechanism procurement cost when the types are uniformly distributed. Last we show how the algorithm adapts to more general grids.
Existence of a capacity solution to a nonlinear parabolic-elliptic coupled system in anisotropic Orlicz-Sobolev spaces
Authors: Gallego Francisco Ortegón , Ouyahya Hakima , Rhoudaf Mohamed 
Published: December 2022

Abstract
In this work, we show the existence of a capacity solution for a nonlinear coupled parabolic-elliptic system in inhomogeneous anisotropic Orlicz-Sobolev spaces without assuming the ∆2–condition on the Nfunctions. This system describes the heat surge generated within a semiconductor device by an electrical direct current. This may be seen as a generalization of the so-called thermistor problem.
Mathematics Subject Classification (2010). Primary: 35K61; Secondary: 47H05.
Micro crack evolution and failure modes of limestone under uniaxial multi- level cyclic loading: Insights from numerical simulation
Authors: Yin Yanjun , Hu Jianhua , Wen Guanping , Xu Xiao , Zeng Pingping 
Published: December 2022

Abstract
Deep rock structures are often subjected to complex cyclic disturbances generated by earthquakes and blasting vibrations. The rocks will resist disturbance with multiple stress levels, and the research on mechanical response is still insufficient under such conditions. A series of multi-level cyclic loading experiments were subjected to limestone specimens to obtain the stress-strain relation and fracture behavior. This study explored the effect of amplitude and cycle times on rocks. A Discrete Element Method model of rock specimens was established in Particle Flow Code 2D (PFC2D). The simulation results are coincidental with the experiment results. The results show that loading with low cycles can strengthen the rock, but loading with high cycles will present deteriorated effect on the rock. In the numerical simulation test, the initial crack will appear earlier with the amplitude increase. More micro cracks will be induced as the number of cycles per level increases. Moreover, tensile cracks are mainly distributed around the specimen when shear cracks widely appear in the central area. With the increase of amplitude, failure modes with mixed shear and tensile cracks will become universal.