基于Pro/E弧面凸轮分度装置的3D参数化设计 by 刘韦华, 葛正浩, 黄薇, 蒋萌

“…Taking the globoidal cam indexing device’s center distance and the number of indexing roller as the known factor,parameter relations with all other size are defined.The following research work to the globoidal cam indexing device has been done which is based on Pro/Engineer Wildfire 4.0 as well as its re-development tool called Program.Taking the globoidal cam indexing device as the study object,its working principle,the design method,the type of movement and the structure style are systematically stated.Taking Pro/E as the three-dimensional modeling tool,and also based on re-development tool Program,parametric design of the globoidal cam indexing device and the automatic three-dimensional modeling are realized.To work up the digital prototype as the essential target,it has briefly narrated the basic method that establishes globoidal cam indexing device prototype,the globoidal cam indexing device’s components,assembly as well as the movement simulation’s effects are demonstrated,and its structure composition and the movement principle are really reappeared.…”
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Deep learning-assisted attribute prediction of chalcogenide glasses based on graph classification by Hui Li, Pan Liu, Shaoyun Liu, Bin Yang

“…However, traditional ML methods, which predominantly rely on single-property modelling, are often inadequate for addressing the practical demand for multiproperty collaborative optimization. …”
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Response of dissolved organic matter and bacterial community to anthropogenic disturbances in a plateau lake by Yue Meng, Yue Meng, Xin Jiang, Xin Jiang, Yue Li, Chun Qing, Chun Qing, Xingyu Long, Pinhua Xia, Pinhua Xia

“…Methods such as Spearman correlation analysis, null model, neutral community model and random forest analysis were explored how FDOM composition and bacterial communities respond to anthropogenic disturbances in the sediments and water of the Caohai Lake.ResultsThe results indicated that sediment FDOM was sensitive to anthropogenic disturbances, with protein-like substances dominating heavily disturbed areas (69%) and humic-like substances dominating less disturbed areas (63%). …”
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Features of regional parameters of soil fluctuations as a basis for making an optimal design decision by H. R. Zainulabidova, R. G. Gasanov

“…Determination of the reliability of buildings based on probabilistic models.Result. A method for estimating the parameters of soil vibrations based on the processing of instrumental records of known earthquakes, taking into account the characteristics of soils, is proposed. …”
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Machine learning in additive manufacturing——NiTi alloy’s transformation behavior by Lidong Gu, Kongyuan Yang, Hongchang Ding, Zezhou Xu, Chunling Mao, Panpan Li, Zhenglei Yu, Yunting Guo, Luquan Ren

“…To investigate the accuracy of the model, this study utilized various process parameters to fabricate NiTi alloys with different compositions from Ni50.8Ti49.2 alloy powder. …”
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Obtaining a Water-soluble Form of Hydrophobic Indolelocarbazole Derivative Using Solubilizer Complex by A. P. Kolpaksidi, M. V. Dmitrieva, L. L. Nikolaeva, O. L. Orlova, I. I. Krasniuk

“…In the course of the study, 2 groups of model compositions were obtained and estimated, comprising a complex of two or more auxiliary substances as a solubilizer. …”
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Effect of Tapuy (Philippine Rice Wine) Lees on the Gut Microbiota Profile and Lifespan under Normal and Stress Conditions in Drosophila melanogaster by Ma Carmela P. Dela Cruz, Paul Mark B. Medina

“…To address this, the current study investigated the potential health effects of Tapuy lees consumption using Drosophila melanogaster as model. Methods: The effects of four Tapuy lees variants on the gut microbiome composition and lifespan under normal, heat stress, and starvation stress conditions were tested in D. melanogaster compared to a media-only negative control and the prebiotic inulin as positive control. …”
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Bank’s Credit Portfolio Optimization Using Actuarial Approach and Artificial Neural Networks by Saeed Bajalan, Saeid Fallahpour, Sara Raeesi

“…This research begins by analyzing the credit risk of the bank's loan portfolio using an actuarial approach and subsequently applies a perceptron neural network model to determine the optimal credit portfolio composition considering the bank's lending constraints. …”
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Application of Low Stray Inductance Bus-bar Technology in IGBT Converter by CHEN Mingyi, MA Bole, CHEN Yuqi, WANG Xiong

“…It studied laminated busbars which were widely used in IGBT converters, analyzed the generation of overvoltage on switching devices and the way to limit them. The basic model of laminated busbar was established. It presented composition and calculated methods of the total stray inductance in commutation circuits. …”
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The experimental study of the specific pharmacological action of «Artproment» combined gel by О. S. Shpychak, O. I. Tikhonov

“…The medicine shows the significant anti-edema action at the level of the reference medicine "Diclofen-gel" on the carrageenan-induced paw oedema model. Taking into account that injuries of organs of the locomotor apparatus cause manifestation of inflammation and development of oedema it is expedient to study the anti-edema action of "ArtpromentÒ" gel in comparison with "Diclofen-gel", which is the complete analogue by the specific pharmacological action and the partial analogue by the composition. …”
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Torque-speed relationship of the flagellar motor with dual-stator systems in Pseudomonas aeruginosa by Haolin Wu, Zhengyu Wu, Maojin Tian, Rongjing Zhang, Junhua Yuan

“…These variations enable bacteria to rapidly adjust their stator composition in response to external load conditions. …”
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Ultrasound-assisted enzyme extraction of Dendrobium Officinale polysaccharides: Extraction process, characterization, immunomodulatory effects by Hengpu Zhou, Yingjie Dong, Zhangyun Wu, Xi Peng, Meiqiu Yan, Suhong Chen, Guiyuan Lv

“…Finally, an immunocompromised mouse model induced by cyclophosphamide was adopted to evaluate the immunomodulatory effects. …”
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Machine learning-based prediction of scale formation in produced water as a tool for environmental monitoring by Arash Tayyebi, Ali Alshami, Erfan Tayyebi, Ademola Owoade, MusabbirJahan Talukder, Nadhem Ismail, Zeinab Rabiei, Xue Yu, Glavic Tikeri

“…This is primarily due to the continuous variation in salt concentrations, temperature and pressure affecting inorganic scale composition. Machine learning (ML) as a data-driven method is a powerful tool for uncovering hidden patterns in experimental data necessary for decision-making on scale formation predictions by analyzing the complex relationships between mainly the water chemistry and the pH. …”
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Extractive distillation of tetrahydrofuran–ethyl acetate–water mixture in schemes including columns with side sections and side draws by D. G. Rudakov, S. M. Kharlamov, P. S. Klauzner, E. A. Anokhina, A. V. Timoshenko

“…The local composition UNIQUAC equation model was used for describing vapor–liquid equilibrium. …”
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N6-methyladenine identification using deep learning and discriminative feature integration by Salman Khan, Islam Uddin, Sumaiya Noor, Salman A. AlQahtani, Nijad Ahmad

“…The proposed framework captures complex patterns from DNA sequences through a comprehensive feature extraction process, leveraging k-mer, Dinucleotide-based Cross Covariance (DCC), Trinucleotide-based Auto Covariance (TAC), Pseudo Single Nucleotide Composition (PseSNC), Pseudo Dinucleotide Composition (PseDNC), and Pseudo Trinucleotide Composition (PseTNC). …”
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重型车辆变速器齿轮轮毂断裂失效分析及改进措施 by 赵富强, 王铁, 张瑞亮

“…For early failure problem of broken teeth of the first driving gear for gearbox in testing process,the failure mechanisms such as chemical composition inspection,fracture surface analysis as well as the metallographic structure morphology inspection analysis of failure gear hub are carried out.The results show that the main reasons causing abnormal fracture of the failure gear are the insufficient root strengthening of shot peening,the small groove fillet of the spline and the inadequate rim thickness.Using the finite element modeling,the contact stress analysis of failure gear is carried out and an improvement design method is put forward.…”
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Robust coal granularity estimation via deep neural network with an image enhancement layer by Xi Chen, Hua-Yi Feng, Jia-Le Wang

“…Accurate granularity estimation of ore images is vital in automatic geometric parameter detecting and composition analysis of ore dressing progress. Machine learning based methods have been widely used in multi-scenario ore granularity estimation. …”
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Characterization of 2-((4-(chloromethyl)benzoyl)oxy)benzoate acid for analgesic tablet dosage form formulation by Wuryanto Hadinugroho, Yudy Tjahjono, Kuncoro Foe, Senny Yesery Esar, Caroline Caroline, Maria Annabella Jessica, Hendy Wijaya

“…The analgesic activity of 4CH2Cl in the optimal tablet was investigated using the hot-plate methods. The ANOVA of linear models is acceptable and the polynomial coefficients of quadratic models are similar to those of linear models. …”
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The Rotating Bulge and Halo in the Milky Way: Evidence of Angular Momentum Transferred from the Decelerating Bar by Zhuohan Li, Chengdong Li, Gang Zhao, Ruizhi Zhang, Xiang-Xiang Xue

“…In this study, we identified a component consisting of 1,175,737 stars with net rotation through the application of a neural network (NN) method. To investigate the composition of this rotating sample and the origin of its rotation, we conducted a test particle simulation incorporating an equilibrium axisymmetric background potential together with a central decelerating bar. …”
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Magnetic Induction Spectroscopy-Based Non-Contact Assessment of Avocado Fruit Condition by Tianyang Lu, Adam D. Fletcher, Richard John Colgan, Michael D. O’Toole

“…The equivalent circuit model, which is both physically interpretable and fitted to experimental data, revealed that the ripening process of avocado fruits is characterized by a weakening of capacitive structures and an increase in extracellular solution conductivity, suggesting changes in cellular integrity and extracellular composition, respectively. …”
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