Ship Pipe Layout Based on Grid Normalized Astar Algorithm by LIN Yan, ZHANG Qiaoyu, LOU Jiandi

“…First, the mathematical models are established using bounding box and the grid method. Then, each path node is determined by the normalized weight values of different targets using the branch pipes splitting method, grid marking values, and the parent-child grid search strategy. …”
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Le Transperceneige et Snowpiercer : figuration, sas et espaces de transit(ion) by Tessa Sermet

“…Semiological and aesthetic features inherent to graphic novel and cinema (layout of boxes and panels, recurring passages, editing, shots, slow motion, music, etc.) transform these liminal steps into sas (airlocks in French), intermediate spaces that are not mere thresholds to cross. …”
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Extraction of Catechins from Aegle marmelos Fruit Pulp: Statistical Optimization Using Response Surface Methodology and Artificial Neural Networks by Divya Kurimilla, Meena Vangalapati, Venkata Ratnam Myneni

“…The present study employs batch extraction with methanol as a solvent to extract the catechins from the pulp of Aegle marmelos fruit. Box–Behnken design of response surface methodology (RSM-BBD) is used to optimize the operational parameters impacting catechin extraction, such as solvent concentration, pH, and extraction time. …”
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Identification and prioritization of construction waste management strategies using an integrated FANP-DEMATEL/SWOT model in Tehran metropolis, Iran by Hossein Aligholizadeh, Saeed Motahari, Maryam Farahani, Hasan Samadyar

“…According to the results, the TWMO was positioned in the WT box (IFE: 2.45 and EFE: 2.33), indicating the necessity of adopting a defensive strategy as the best priority. …”
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Evaluating Route and Frequency Design of Bus Lines Based on Data Envelopment Analysis with Network Epsilon-Based Measures by Yiling Deng, Yadan Yan

“…Both NEBM models can simultaneously consider radial and nonradial inputs and outputs and dig into details of the “input/output transformation box.” Finally, the bus transit system of Nanjing in China is used as a case study. …”
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Research on Fine‐Grained Phenotypic Analysis of Temporal Root Systems – Improved YoloV8seg Applied for Fine‐Grained Analysis of In Situ Root Temporal Phenotypes by Qiushi Yu, Meng Zhang, Liuli Wang, Xingyun Liu, Lingxiao Zhu, Liantao Liu, Nan Wang

“…Additionally, the post‐processing method introduced reduces root identification errors, ensuring a one‐to‐one correspondence between each root system and its detection box. The experiment yields phenotypic parameters for fine‐grained roots, such as fine‐grained root length, diameter, and curvature. …”
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STUDY ON CONTACT DAMAGE OF WIND POWER GEARS BASED ON CONFIGURATIONAL FORCE THEORY by YE Nan, ZHANG YanHui, WANG Rong, LIU Ran, ZHANG ChuanFen, OUYANG Heng, DUAN ShuYong

“…The gear box of wind turbine is in the complex environment such as random wind load for a long time， and the gear contact fatigue becomes a key factor limiting the stability and reliability of wind turbine equipment. …”
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A Radiograph Dataset for the Classification, Localization, and Segmentation of Primary Bone Tumors by Shunhan Yao, Yuanxiang Huang, Xiaoyu Wang, Yiwen Zhang, Ian Costa Paixao, Zhikang Wang, Charla Lu Chai, Hongtao Wang, Dinggui Lu, Geoffrey I Webb, Shanshan Li, Yuming Guo, Qingfeng Chen, Jiangning Song

“…The BTXRD dataset comprises 3,746 bone images (1,879 normal and 1,867 tumor), with clinical information and global labels available for each image, and distinct mask and annotated bounding box for each tumor instance. This publicly available dataset can support the development and evaluation of deep learning algorithms for the diagnosis of primary bone tumors.…”
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Essential fatty acids as major lipid fraction in Nostoc muscorum by optimization of mixotrophic culture by María Guadalupe Mata-Pérez, Diana Linda Cárdenas-Chávez, Roberto Rico Martínez, Juan Jáuregui-Rincón

“…The individual and interactive effects of three culture conditions (glycerol concentration, acetate concentration and culture time) on biomass and lipid production by N. muscorum were investigated through a three factor, three-level Box-Behnken experimental design of response surface methodology for process optimization. …”
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Dark Side of the Career: Reflections from an Online Discussion Platform by Zeynep Görgülü, Hasan Bozgeyikli

“…In naïve cluster, users expressed how different their expectations in working life from reality. The black box cluster included workplace deviance and poor working conditions. …”
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Energy-space random walk in a driven disordered Bose gas by Zhang, Yansheng, Martirosyan, Gevorg, Ho, Christopher Junhong, Etrych, Jiří, Eigen, Christoph, Hadzibabic, Zoran

“…Motivated by the experimental observation [1] that driving a non-interacting Bose gas in a 3D box with weak disorder leads to power-law energy growth, $E \propto t^{\eta }$ with $\eta =0.46(2)$, and compressed-exponential momentum distributions that show dynamic scaling, we perform systematic numerical and analytical studies of this system. …”
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Androgen Receptor Regulates Transcription of the ZEB1 Transcription Factor by Bynthia M. Anose, Michel M. Sanders

“…The zinc finger E-box binding protein 1 (ZEB1) transcription factor belongs to a two-member family of zinc-finger homeodomain proteins involved in physiological and pathological events mostly relating to cell migration and epithelial to mesenchymal transitions (EMTs). …”
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Invasive micropapillary urothelial carcinoma of the renal pelvis presenting as nonfunctional kidney: A unique presentation and review of the literature by Mohammed Shahin, Sagar R. Tripathy, Prasant Nayak, Prasanna Ram, Pavithra Ayyanar

“…On immunohistochemistry, tumor cells were positive for GATA-binding protein 3, cytokeratin 7, and cytokeratin 20, while negative for paired box gene 8, cluster of differentiation 10, mammaglobin, and alpha-methylacyl-CoA racemase. …”
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Personalizing Self-Management Interventions in COPD – Looking Beyond One-Size-Fits-All by Lenferink A, Brusse-Keizer MG, van der Palen J, Effing TW

“…Anke Lenferink,1,2 Marjolein GJ Brusse-Keizer,1,3 Job van der Palen,3,4 Tanja W Effing5,6 1Health Technology and Services Research, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, The Netherlands; 2Department of Pulmonary Medicine, Medisch Spectrum Twente, Enschede, The Netherlands; 3Medical School Twente, Medisch Spectrum Twente, Enschede, The Netherlands; 4Cognition, Data and Education, Faculty of Behavioural, Management and Social Sciences, University of Twente, Enschede, The Netherlands; 5College of Medicine and Public Health, School of Medicine, Flinders University, Adelaide, Australia; 6School of Psychology, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, AustraliaCorrespondence: Anke Lenferink, University of Twente Health Technology and Services Research Faculty of Behavioural, Management and Social sciences Technical Medical Centre, P.O. Box 217, 7500, AE Enschede, the Netherlands, Email a.lenferink@utwente.nl…”
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A Possible Role of HMGB1 in DNA Demethylation in CD4+ T Cells from Patients with Systemic Lupus Erythematosus by Yaping Li, Chenghui Huang, Ming Zhao, Gongping Liang, Rong Xiao, Susan Yung, Tak Mao Chan, Qianjin Lu

“…In this study, we identified proteins that bind to Gadd45a in CD4+ T cells during SLE flare by using the method of co-immunoprecipitation and mass spectrometry, High mobility group box protein 1 (HMGB1) is one of identified proteins. …”
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MODELAGEM CAIXA PRETA DO TANQUE DE AQUECIMENTO DA PLANTA DIDÁTICA SMAR PD3: UMA ATUALIZAÇÃO by João Marcus Soares Callegari, André Gomes Tôrres, José Vitor Nicacio, Leonardo Bonato Felix

“…Os resultados apontam uma melhor performance dos modelos Box-Jenkins em relação aos demais, sob a ótica de dois critérios: análise de resíduos e do coeficiente de determinação.  …”
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Preparation of non-sintered sludge based material and mechanism of phosphorus adsorption by WANG Wei, XU Bin, WU Wei, WU Bingdang, GAN Yonghai, Cui Yibin

“…The non-sintered materials were prepared using sludge as raw materials, and four influencing factors were selected, including the mass ratio of silt/cement, the amount of activator, the amount of sodium silicate and the curing time, to determine the optimal preparation conditions by the Box-Behnken(BB) response surface method. The adsorption performance was evaluated by isothermal adsorption, adsorption kinetics and intragranular diffusion model, and the adsorption mechanism of phosphate was explored by characterization methods. …”
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Performance Assessment of Hybrid Fibre-Reinforced Concrete (FRC) under Low-Speed Impact: Experimental Analysis and Optimized Mixture by Abbas Sadeghian, Taleb Moradi Shaghaghi, Yaghoub Mohammadi, Hossein Taghipoor

“…To determine the parameters of the percentage of fibres on the impact resistance properties, the Box–Behnken method as a subset of the response surface method (RSM) was used. …”
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Effects of Incorporation of Marble Powder Obtained by Recycling Waste Sludge and Limestone Powder on Rheology, Compressive Strength, and Durability of Self-Compacting Concrete by Rayed Alyousef, Omrane Benjeddou, Chokri Soussi, Mohamed Amine Khadimallah, Abdeliazim Mustafa Mohamed

“…The fresh properties of the two SCCs’ mixtures were determined by slump flow, L-box, V-funnel, sieve stability, bulk density, and air content. …”
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Fault Diagnosis of Gearbox based on Multi-fractal and PSO-SVM by Li Sha, Pan Hongxia, Zhang Jundong, Zhao Weiwei

“…Aiming at the non-stationary and nonlinear of gearbox vibration signals,a fault diagnosis method based on the multi-fractal and particle swarm optimization support vector machine（PSO-SVM）is put forward.Firstly,the fractal filter with short-time fractal dimension as fuzzy control parameters is used to filtering noise reduction the gearbox vibration signals with bigger background noises.Secondly,the multi-fractal spectrum algorithm is applied to analyze the signal after filtering,the results show that the characteristic parameters:Δa（q）、f（a（q））maxand box dimensions Dbcan give a good presentation for gearbox working condition.Finally,the particle swarm optimization（PSO）is applied to optimize the parameters of support vector machine（SVM）.Taking the multi-fractal characteristic vectors as input parameters of PSO-SVM and SVM to recognize the fault types of the gearbox.The results show that SVM based on particle swarm optimization can improve the classification accuracy.Meanwhile,the validity of gearbox fault diagnosis based on muti-fractal and PSO-SVM is proved.…”
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