Inference of Impulse Responses via Bayesian Graphical Structural VAR Models by Daniel Felix Ahelegbey

“…Impulse response functions (IRFs) are crucial for analyzing the dynamic interactions of macroeconomic variables in vector autoregressive (VAR) models. However, traditional IRF estimation methods often have limitations with assumptions on variable ordering and restrictive identification constraints. …”
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Electrodynamics-based quantum gate optimization with born scattering by Kumar Gautam, Chang Wook Ahn

“…The optimal value of the vector potential needed to implement the gate is obtained by minimizing the difference between the designed gate and the target gate, with the total energy consumed as a constraint. …”
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Scenario forecasting for students’ professional future by V. S. Tretyakova

“…It is established that this structure consists of four content blocks: 1) the desired image of the professional future of the student; 2) analysis of the student potential in accordance with the desired image; 3) the process of transition of the person from the current state to the desired (implementation of the trajectory of development, control); 4) evaluation of results (analysis of achievements, causes and consequences of changes; correction of the vector of development). …”
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Comparative Study of Multiple Supervised Classification Methods to Map Land Use in Local and Regional Scales (Case Study:Kan and Karaj Rivers Basin) by Maryam Alizadeh, Rooholah Mirzaee, Saedhosain Kiya

“…Out of all factors that influence the complex process of land cover/use mapping, appropriate classification system and approaches affect the land cover/use outcomes. …”
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Angiogenesis as a Survival Mechanism in Heartworm Disease: The Role of Fructose-Bisphosphate Aldolase and Actin from <i>Dirofilaria immitis</i> in an In Vitro Endothelial Model by Manuel Collado-Cuadrado, Claudia Alarcón-Torrecillas, Alfonso Balmori-de la Puente, Iván Rodríguez-Escolar, Elena Infante González-Mohino, Miguel Pericacho, Rodrigo Morchón

“…The aim of this work was to study the effect of two molecules of the <i>D. immitis</i> excretory/secretory antigen (DiES) on the angiogenic process, taking into account that this antigen is able to interact with this process and use it as a survival mechanism. …”
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National standards of pharmaceutical education in the context of reforming legislation of higher education by І. M. Alieksieieva

“…Socially significant steps of Ukraine in the issue of European integration are measures to reform the legislation on higher education in the context of the Bologna process, namely: the adoption of the National Qualifications Framework and the new edition of the Law of Ukraine "On Higher Education." …”
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DEVELOPMENT OF A NOVEL REVERSED-PHASE HIGH-PERFORMANCE LIQUID CHROMATOGRAPHY METHOD FOR THE DETERMINATION OF SODIUM DITHIONITE IN BREAD PRODUCTS by SHAHIN SHAHBAZI, FOROUGH SARAEE, NASER ABBASI, ELAHE KARIMI, HORI GHANEIALVAR, MAHMOUD BAHMANI, ALI AIDY, SAJAD MAZLOOMI, MASOUMEH TAHMASEBI, ASADOLLAH JALALI GHALOUSANGH

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Antitumor proteinkinase inhibitor imatinib may be regarded as a potential correcting agent for COVID-19 associated pulmonary fibrosis by I. N. Mikhaylova, N. M. Treshalina, I. Zh. Shubina, I. V. Manina, M. V. Kiselevsky, A. N. Lukashev

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Defects in magnetic domain walls after single-shot all-optical switching by Daniel Metternich, Kai Litzius, Sebastian Wintz, Kathinka Gerlinger, Sascha Petz, Dieter Engel, Themistoklis Sidiropoulos, Riccardo Battistelli, Felix Steinbach, Markus Weigand, Steffen Wittrock, Clemens von Korff Schmising, Felix Büttner

“…Helicity-independent all-optical switching (HI-AOS) is the fastest known way to switch the magnetic order parameter. While the switching process of extended areas is well understood, the formation of domain walls enclosing switched areas remains less explored. …”
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The incidence of COVID-19 medical workers. The issues of biosafety and occupational risk factors by T. A. Platonova, A. A. Golubkova, A. V. Tutelyan, S. S. Smirnova

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The Smart Product Backlog: A Classification Model of User Stories by Mauricio Gaona-Cuevas, Victor Bucheli Guerrero, Fredy H. Vera-Rivera

“…In agile software development processes, user stories (US) had been used to specify application functionalities from the users&#x2019; perspective. …”
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Machine learning and response surface methodology forecasting comparison for improved spray dry scrubber performance with brine sludge-derived sorbent by B.J. Chepkonga, L. Koech, R.S. Makomere, H.L. Rutto

“…A quadratic model correlating the process variables with desulfurization efficiency was developed, yielding an R-squared value of 93.47%. …”
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On-Chip Age Estimation Using Machine Learning by Turki Alnuayri, Saqib Khursheed, Daniele Rossi

“…The machine learning (ML) algorithm of support vector regression (SVR) is adapted for this application, using a training process that involves operating temperature, <inline-formula> <tex-math notation="LaTeX">$\tau _{dv}$ </tex-math></inline-formula>, f, aging time and inter-die and intra-die process variation (PV). …”
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How far has the globe gone in achieving One Health? Current evidence and policy implications based on global One Health index by Qiyu Zhang, Jingshu Liu, Lefei Han, Xinchen Li, Chensheng Zhang, Zhaoyu Guo, Anqi Chao, Chenxi Wang, Erya Wan, Fumin Chen, Hanqing Zhao, Jiaxin Feng, Jingbo Xue, Lulu Huang, Jin Chen, Zhishan Sun, Zile Cheng, Jingxian Yin, Zhengze He, Liangyu Huang, Logan Wu, Siwei Fei, Siyu Gu, Tiange Jiang, Tianyun Li, Weiye Chen, Nan Zhou, Ne Qiang, Qin Li, Runchao He, Yi Zhang, Min Li, Xiangcheng Wang, Kokouvi Kassegne, Yongzhang Zhu, Leshan Xiu, Qinqin Hu, Kun Yin, Shang Xia, Shizhu Li, Zhaojun Wang, Xiaokui Guo, Xiaoxi Zhang, Xiao-Nong Zhou

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An energy fracture criterion based on dissipative inequality by Frolov Maxim, Savikovskii Artem, Semenov Artem

“…An analysis was restricted by brittle quasi-static fracture processes in the weakly nonuniform temperature field (WNUTF). …”
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Analyzing Big Data with the Hybrid Interval Regression Methods by Chia-Hui Huang, Keng-Chieh Yang, Han-Ying Kao

“…In this paper, we collaborate interval regression with the smooth support vector machine (SSVM) to analyze big data. Recently, the smooth support vector machine (SSVM) was proposed as an alternative of the standard SVM that has been proved more efficient than the traditional SVM in processing large-scale data. …”
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Implementasi Metode Longest Common Subsequences untuk Perbaikan Kata pada Kasus Analisis Sentimen Opini Pembelajaran Daring di Media Sosial Twitter by Alfisyar Jefry Pranata, Yuita Arum Sari, Edy Santoso

“…This opinion will be used in this research and will be processed first in the stage preprocessing. The method used in this research is Longest Common Subsequences (LCS) and Support Vector Machine (SVM) with 500 data divided into 250 data labeled positive and 250 data labeled negative. …”
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Combining Hadamard Matrix, Discrete Wavelet Transform and DCT Features based on PCA and KNN for Image Retrieval by Hassan Farsi, Sajad Mohamadzadeh

“…Image retrieval is one of the most applicable image processing techniques which have been used extensively. …”
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Generalized Grey Target Decision Method for Mixed Attributes Based on Connection Number by Jinshan Ma, Changsheng Ji

“…So the similarity of each index vector and its target center index vector called nearness degree can be calculated. …”
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Gauging error of pose acquired by vision systems in bin picking applications by Franaszek Marek, Rachakonda Prem, Saidi Kamel S.

“…However, many parts processed in industrial bin picking applications have axial symmetry and for such parts, the orientation cannot be determined uniquely. …”
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