Multiple fixed-wing UAVs collaborative coverage 3D path planning method for complex areas by Mengyang Wang, Dong Zhang, Chaoyue Li, Zhaohua Zhang

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THE IMPACT OF LIQUEFIED NATURAL GAS COMPOSITION AND TECHNOLOGICAL CHARACTERISTICS OF THE STARTING STORAGE OF THE EQUIPMENT AT THE TIME OF OCCURRENCE OF THE PHENOMENON OF ROLLOVER by R. A. Khuramshina, A. I. Yamalov

“…Using the mathematical program ANSYS, the rollover process in the liquefied natural gas storage was modeled. …”
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Abordagens complementares para problemas de p-medianas Complementary approaches for p-median location problems by Edson Luiz França Senne, Luiz Antonio Nogueira Lorena

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The Winding Road to Dyspnea: A Case Report of an Unusual Presentation of Anomalous Left Coronary Artery from the Pulmonary Artery by Allen Fooks, Ranvir Bhatia, Sanjay Sivalokanathan, Neel P Chokshi

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Pulmonary and functional hallmarks after SARS-CoV-2 infection across three WHO severity level-groups: an observational study by Patrícia Blau Margosian Conti, Maria Ângela Gonçalves Oliveira Ribeiro, Carla Cristina Souza Gomez, Aline Priscila Souza, Daniela Souza Paiva Borgli, Eulália Sakano, Mauro Alexandre Pascoa, Silvana Dalge Severino, Tayná Castilho, Fernando Augusto Lima Marson, Fernando Augusto Lima Marson, Fernando Augusto Lima Marson, José Dirceu Ribeiro, UNICOVID Study Group, Adyléia Aparecida Dalbo Contrera Toro, Aline Cristina Gonçalves, Andrea de Melo Alexandre Fraga, André Moreno Morcillo, Andressa Oliveira Peixoto, Andrei Carvalho Sposito, Bianca Aparecida Siqueira, Emília Silva Gonçalves, Emília Raposo Nascimento, Gil Guerra Junior, Jenniffer Tayna Orzechowski Furtado, Lucas Rodrigues de Moraes, Maria de Fatima Corrêa Pimenta Servidoni, Mariana Zorron, Marcos Tadeu Nolasco da Silva, Maíra Seabra Assumpção, Milena Baptistela Grotta, Renan Marrichi Mauch, Simone Appenzeller, Thiago Luís Infanger Serrano

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Adaptation of the REINVENT neural network architecture to generate potential HIV-1 entry inhibitors by D. A. Varabyeu, A. D. Karpenko, A. V. Tuzikov, A. M. Andrianov

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Context-Aware Markov Sensors and Finite Mixture Models for Adaptive Stochastic Dynamics Analysis of Tourist Behavior by Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong, Zhengchun Song

“…Furthermore, the framework leverages edge computing and probabilistic programming for efficient, low-latency implementation. …”
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Expert Consensus on Diagnosis and Molecular Testing Strategies for Non-Small-Cell Lung Cancer in India by Bivas Biswas, Trupti Pai, Nirmal Raut, Vidya Manur Narasimhamurthy, Bijal Kulkarni, Ashish Singh, Sunil Pasricha, Jayesh Deshmukh, Sewanti Limaye

“…Key issues include misdiagnosis with tuberculosis and low or delayed specialist referral rates. Although formal programs are limited by awareness, resources, and data gaps; low-dose computed tomography (LDCT) screening in community settings is advocated. …”
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A Hybrid MAGDM Approach of Neutrosophic TOPSIS LINMAP method for developing Enterprise Selection Criteria by G.Tamilarasi, S.Paulraj, M.Sivanandha Saraswathy, Thanuja T S

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Preventive-Corrective Control for Static Voltage Stability Under Multiple <tex>$N-1$</tex> Contingencies Considering Wind Power Uncertainty by Yuerong Yang, Shunjiang Lin, Qiong Wang, Mingbo Liu, Qifeng Li

“…An approximate sequential convex quadratically constrained quadratic programming iteration method is proposed to solve the optimal control model. …”
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ALGEBRAIC MODELS OF STRIP LINES IN A MULTILAYER DIELECTRIC MEDIUM by A. N. Kovalenko, A. N. Zhukov

“…On the basis of the developed algorithm we created a set of computer programs for calculating the propagation constants, the coefficients of the current density decomposition in terms of Chebyshev weighted polynomials and the wave impedances of screened strip lines of various types: a single and connected microstrip lines (with side and face communication); coplanar strip line; slit line and coplanar waveguide. …”
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Univariate Neural Network Quantitative (NNQ) Approximation by Symmetrized Operators by George A. Anastassiou, Seda Karateke, Metin Zontul

“…Moreover, our main motivation in this work is to compare the convergence results obtained by classical neural network (NN) operators and symmetric neural network (SNN) operators and try to convert them into numerical examples and graphs through computer programming language Python codes. As a result of this experimental study conducted under the regime of certain parameters, the convergence speed and results of SNN operators are superior to those of classical NN operators.…”
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A new method for measuring the effectiveness of teacher evaluation instruments in improving pedagogical performance in higher education based on the neutrosophic 2-tuple linguistic... by Judith Ernestina Vera-León, Tatiana Daniela Ríos-López, Noemí Fernanda Caizaluisa-Barros, Andrea Fernanda Pazmiño-Arcos, Jessica Carolina Analuisa-Maiguashca

“…Assessment in a teaching-learning process allows teachers to determine to what degree students are assimilating the content and are meeting the objectives of the study program. That is why when there are fine-tuned assessment instruments, it is assumed that there is better pedagogical performance. …”
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The Effect of Parallel-hole Collimator Material on Image and Functional Parameters in SPECT Imaging: A SIMIND Monte Carlo Study by Ahmadreza Azarm, Jalil Islamian, Babak Mahmoudian, Esmaeil Gharepapagh

“…The collimator in single-photon emission computed tomography (SPECT) is a critical component of the imaging system and plays an impressive role in the imaging quality. …”
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GPU‐Accelerated Lattice Boltzmann Simulations of Power‐Law Non‐Newtonian Fluid Flow in a Diagonally Driven Cavity Using D3Q27 MRT‐LBM by Md. Mamun Molla, Amzad Hossain, Md. Mahadul Islam

“…Utilizing CUDA C++ programming on a graphics processing unit (GPU) speeds up the simulations, enabling effective investigation of intricate fluid dynamics. …”
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Toward Street‐Level Nowcasting of Flash Floods Impacts Based on HPC Hydrodynamic Modeling at the Watershed Scale and High‐Resolution Weather Radar Data by Pierfranco Costabile, Carmelina Costanzo, John Kalogiros, Vasilis Bellos

“…Abstract In our era, the rapid increase of parallel programming coupled with high‐performance computing (HPC) facilities allows for the use of two‐dimensional shallow water equation (2D‐SWE) algorithms for simulating floods at the “hydrological” catchment scale, rather than just at the “hydraulic” fluvial scale. …”
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Relationship Between Effective Dose, Alternative Metrics, and SSDE: Experiences with Two CT Dose-Monitoring Systems by Lilla Szatmáriné Egeresi, László Urbán, Zsolt Dankó, Ervin Balázs, Ervin Berényi, Mária Marosi, János Kiss, Péter Bágyi, Zita Képes, Miklós Emri, László Balkay

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The Image Clarity Paradox: Higher CZT SPECT Contrast Does Not Always Translate to Diagnostic Accuracy for Alzheimer’s Disease by Kiyotaka Nemoto, Bryan J. Mathis, Akemi Iwasaka, Kenjiro Nakayama, Tomohiro Kaneta, Tetsuaki Arai

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Evaluating the Implementation of fan-beam CT-guided online adaptive re-planning in definitive cervical cancer radiotherapy by Shuai Sun, Xinyue Gong, Xinyue Gong, Yongguang Liang, Yuliang Sun, Dan Que, Yangchun Xie, Shumeng He, Lei He, Hao Liang, Yijun Wang, Xinyi Wu, Cheng Wang, Bo Yang, Jie Qiu, Ke Hu, Fuquan Zhang

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Machine Learning and hybrid models for assessing climate change impacts on runoff in the Kasilian catchment, Northern Iran by Farhad Hajian, Hossein Monshizadeh Naeen

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