Effects of environmental factors on dengue incidence in the Central Region, Burkina Faso: A time series analyses. by Jean Claude Romaric Pingdwindé Ouédraogo, Sylvain Ilboudo, Richard Joshua Tetteh, Charles Kyei, Siaka Lougué, Wendlasida Thomas Ouédraogo, Salfo Ouédraogo, David Dosoo, Kwaku Poku Asante, Léon Gueswendé Blaise Savadogo

“…D.Wind speed showed a negative relationship (Coefficient = -925.31; p-value = 0.02), while D. Wind speed (-3) had a positive relationship (Coefficient = 875.04; p-value = 0.02). …”
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Macrostructure of the surface combined metal-polymeric plane bearings by I.V. Ovechkin

“…The new design of a plane bearing with combined metal-polymeric surface differs from analogous models by ability to keep lubricant in the working zone, that considerably reduces a friction coefficient and life time of the bearing.…”
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Granular soil particle breakage prediction model based on population evolution theory by Yao Long, Junhua Chen, Yuanjie Xiao, Youquan Peng

“…The relationship between population evolution and particle breakage was first established, introducing key parameters such as the migration rate k, comprehensive environmental impact coefficient r ij , energy dissipation ratio m ij , and effective constraint coefficient β, with detailed explanations of their physical significance and calculation methods. …”
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Domain Adaptation and Fine-Tuning of a Deep Learning Segmentation Model of Small Agricultural Burn Area Detection Using High-Resolution Sentinel-2 Observations: A Case Study of Pun... by Anamika Anand, Ryoichi Imasu, Surendra K. Dhaka, Prabir K. Patra

“…The model can capture burn area smaller than 250 m², but the model at present is less efficient at representing the full extent of the fires. …”
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Modeling study of the magnetocaloric behavior of La₀.₆₇Ca₀.₃₃Mn₀.₉₈Ni₀.₀₂O₃ alloys using artificial neural networks by Kawther Laajimi, Emna Ammar Elhadjamor, Radhouane Laajimi, Mehdi Rahmani, Mohamed Hichem Gazzah

“…The model showed outstanding performance with a coefficient of determination (R²) of 0.999241 and a root mean square error (MSE) of 0.003472. …”
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Network Security Situational Awareness Based on Improved Particle Swarm Algorithm and Bidirectional Long Short-Term Memory Modeling by Peng Zheng, Yun Cheng, Wei Zhu, Bo Liu, Shuhong Liu, Shijie Wang, Jinyin Bai

“…With the continuous development of information technology, network security risks are also rising, and the ability to quickly perceive network threats has become an important prerequisite and an important means to cope with network risks. …”
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Modeling and Key Parameter Interaction Analysis for Ship Central Cooling Systems by Xin Wu, Ping Zhang, Pan Su, Jiechang Wu

“…This prediction model exhibited excellent goodness of fit and prediction ability (coefficient of determination <i>R</i>² = 0.9688, adjusted <i>R</i>²_adj = 0.9438, predicted <i>R</i>²_pred = 0.8752), with a maximum relative error of only 1.2% compared to the simulation data, confirming its high accuracy. …”
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Research on the Hydrodynamic Characteristics of a Rectangular Otter Board in Different Work Postures Based on a Dynamic Model by Wenhua Chu, Minghao Zhai, Senqi Cui, Yu Cao, Xinyang Zhang, Qiaoli Zhou

“…When studying different working angles (including AOA and tilt angle) of the otter board, the numerical dynamic model significantly reduces repetitive setup work, making simulations more efficient. Its ability to provide continuous curves and a large volume of results offers researchers a more detailed and comprehensive understanding of the board’s hydrodynamics. …”
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New LED lamp design with heat pipes by Demyd Pekur, Yurii Nikolaenko, Viktor Sorokin

“…Computer simulation allowed evaluating the ability of the proposed cooling system to provide a normal thermal mode of the LED light source. …”
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Deep Learning-Based Brain Tumor Segmentation in MRI Images: A MobileNetV2-DeepLabV3+ Approach by Farhad Abedinzadeh Torghabeh, Seyyed Abed Hosseini

“…The model achieved an average dice similarity coefficient of 0.938 and a global accuracy of 0.997. …”
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Robust self management classification via sparse representation based discriminative model for mild cognitive impairment associated with diabetes mellitus by Yun-xian Wang, Rong Lin, Hao Liang, Yuan-jiao Yan, Ji-xing Liang, Ming-feng Chen, Hong Li

“…A Sparse-representation-based Discriminative Classification model (SDC) is proposed in this paper to correctly classify MCI-DM patients based on their self-management ability. Specifically, an L1-minimization sparse representation model, an efficient machine learning model, is used to obtain the sparse histogram that encodes the identity of the test sample. …”
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HMA-Net: a hybrid mixer framework with multihead attention for breast ultrasound image segmentation by Soumya Sara Koshy, L. Jani Anbarasi

“…The model achieved a Jaccard index of 98.04% and 94.84% and a Dice similarity coefficient of 99.01% and 97.35% on the BUSI and BrEaST datasets, respectively.DiscussionThe ConvMixer and ConvNeXT modules are integrated with convolution-enhanced multihead attention, which enhances the model's ability to capture local and global contextual information. …”
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Nonlinear Local Deformations of Erythrocyte Membranes: Normal Erythrocytes (Part 1) by A. M. Chernysh, E. K. Kozlova, V. V. Moroz, V. A. Sergunova, O. E. Gudkova, A. P. Kozlov, E. A. Manchenko

“…The method of recording nonlinear deformations may be especially efficient in the reanimatology and rehabilitation practice.…”
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A molecular dynamics study of the effect of initial pressure on the mechanical resilience of aluminum polycrystalline by Ali B.M. Ali, Dheyaa J. Jasim, As'ad Alizadeh, Choon Kit Chan, Soheil Salahshour, Maboud Hekmatifar

“…Polycrystalline materials are essential in engineering due to their ability to withstand various forces, heat, and environmental conditions. …”
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Plasma concentrations of C-nartiuretic peptide and endothelin-1 in women with essential hypertension which suffered vascular complication when inherent of different variants of ang... by S. V. Franchuk, O. L. Starzhynska

“…CNP/ET-1 coefficient is responsible for relationship between vasodelatators and vasoconstrictors. …”
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The Anisotropy Permeability Evolution and Deformation Behavior of Raw Coal under Cyclic Loading Conditions by Hanhua Xu

“…Four parameters are introduced: permeability stress-based loss rate (PEL) and permeability strain-based loss rate (PSL) highlight the stress sensitivity of the intrinsic permeability and deformation characteristics of coal’s internal structure during the loading process; stress-based irrecoverable permeability coefficient (EIP) and strain-based irrecoverable permeability coefficient (SIP) describe the loss of intrinsic permeability and irreversible deformation features in the whole load cycle. …”
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Weighted evidence combination based on degree of credibility and certainty by Lu WANG, Qing-hua XING, Yi-fan MAO

“…To overcome the invalidation problem of Dempster rule with high conflict,a weighted combination method based on degree of credibility and certainty was proposed.Firstly,the cosine similarity was modified to hold the ability to measure the evidence conflict when multi-subset focal elements were included,followed by the building of evidence credibility model.Secondly,the evidence certainty model based on precision and entropy was presented,which can both reflect the evidence’s degree of multi-subset focal elements and the dispersion degree of probability assignment.Then the weighted coefficient was determined by credibility and certainty.Finally,the normalized weighted coefficient was used to average the basic probability assignment,and the final combination result can be obtained according to Dempster rule.Numerical examples show that,compared with other traditional weighted combination methods,the proposed approach has made better performance in reducing conflict and accelerating convergence.…”
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Application of Nanofluid Electrochemistry in Heat Dissipation of Permanent Magnet Synchronous Motors by XiongPing Lin, GuoDong Xie

“…Experimental results show that when the volume fraction is 0.5, the increase rate of thermal conductivity is 1.51, the increase rate of convective heat transfer coefficient is 20.33, and the increase rate of convective heat transfer coefficient is greater than that of thermal conductivity, which shows that nanofluids have very good heat dissipation ability. …”
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Application of Golden Sine Algorithm in Hydrogeological Parameter Optimization by ZHOU Yourong, LI Na, ZHOU Fahui

“…The results show thatthe Gold-SA algorithm has better optimization accuracy for the six selected standard testfunctions than the PSO algorithm, with better optimization accuracy and global search ability. Andthe optimization accuracy of Gold-SA algorithm for the transmissivity coefficient and storagecoefficient of the two examples is better than PSO algorithm, wiring method and literature method.Therefore, it is feasible and effective to apply the Gold-SA algorithm for the optimization ofhydrogeological parameters.…”
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Reproductive qualities of dairy cows at different levels of milk yield by Svetlana V. Titova

“…According to the regression coefficients, on average, each increase in milk yield per 1000 kg increased the duration of the service period by 25.9 days, the calving interval -by 23.1 days, which worsened the output of calves by 0.24 %, and the coefficient of reproductive ability decreased by 16.0 %.…”
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