Weathered microplastics in human blood: unraveling the effect of structural changes at the particle surface on coagulation and platelet activation by Manfred F. Maitz, Robin Lenz, Steven Winkler, Mara F. Abschke, Carsten Werner, Dieter Fischer

“…Objectives Probing the influence of MPs with realistic properties concerning size, shape, weathering-induced polymer degradation, and concentration on the response of human whole blood. Methods This study examines the response of human whole blood to NPs of different cryomilled commodity polymers at a concentration range of 4 – 100 µg/ml, and mean size of about 25 µm, covering microplastic concentrations and size reported for organs and blood. …”
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Development and optimization of a novel nanocarrier SabiWhite-loaded ethosomal gel for targeted skin inflammation complicated by multidrug-resistant pathogens by Gaofeng Shi, Yun Guo, Minlie Yang

“…Structural characterization of SabiWhite was performed using melting point determination, Fourier-Transform Infrared Spectroscopy (FTIR), and X-ray Diffraction (XRD). …”
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Comparative Characterization of Carica papaya Fibers Extracted by Retting and Alkaline Treatment for Biocomposites by Roland Yves Olembe, Armel Edwige Mewoli, Abel Emmanuel Njom, Victor Jos Evina Eyamo, Marie Josette Ndengue, Florent Biyeme, Georges Armand Beguel Ndjock, Mélek Ayadi, César Segovia, Emmanuel Christian Essama, Paulette Roseline Kenfack Momo, Betene Ebanda Fabien, Jean Raymond Lucien Meva’a, Atangana Ateba

“…This study investigates the effects of different extraction methods—water retting and alkali treatments using 5% and 10% NaOH—on the properties of Carica papaya fibers (CPFs) for sustainable composite applications. …”
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Synthesis, Characterization, and Application of Magnetic Zeolite Nanocomposites: A Review of Current Research and Future Applications by Sabina Vohl, Irena Ban, Janja Stergar, Mojca Slemnik

“…The structural features of various zeolite frameworks and their influence on composite performance are discussed, along with different interaction modes between MNPs and zeolite matrices. …”
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Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

“…DeepMol rapidly and automatically identifies the most effective data representation, pre-processing methods and model configurations for a specific molecular property/activity prediction problem. …”
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Formulation and Evaluation of Polymeric Spherical Agglomerates-Based Porous Orodispersible Tablets of Cilnidipine by Yahya Alhamhoom, Sanjana S. Prakash, Avichal Kumar, Shivakumar Hagalavadi Nanjappa, Mohamed Rahamathulla, Megha S. Kamath, Syeda Ayesha Farhana, Mohammed Muqtader Ahmed, Thippeswamy Boreddy-Shivanandappa

“…The current study aimed to enhance the oral bioavailability of CIL by formulation of polymeric spherical agglomerates (CILSAs)-based orodispersible tablets (ODTs). <b>Methods:</b> Eight different batches of CILSAs were prepared by a crystallo-co-agglomeration technique using different proportions of hydrophilic polymers like hydroxy propyl methyl cellulose E50, polyvinyl pyrrolidone K30, or polyethylene glycol (PEG) 6000 as carriers. …”
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A Safety Evaluation Model of Intersections under Mixed Traffic Conditions Using Traffic Conflicts and Cloud Model by Xuan Can Vuong, Rui-Fang Mou, Trong Thuat Vu, Van Hung Tran, Chi Trung Nguyen

“…And then, as regards the fuzziness and randomness of the evaluation indicators, the qualitative concept has to be converted into a quantitative one utilizing cloud model, which implements the natural transformation between the qualitative concept of the safety level of traffic conflict and the membership degree of the evaluation indicators corresponding to the different safety levels. …”
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Geometric properties of quantum entanglement and machine learning by S. V. Zuev

“…This paper uses Feynman formalism to represent quantum states and operations on them, the representation of quantum computing in the form of quantum circuits, geometric transformations, topological classification, as well as methods of classical and quantum machine learning. …”
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Research on Classification and Identification of Crack Faults in Steam Turbine Blades Based on Supervised Contrastive Learning by Qinglei Zhang, Laifeng Tang, Jiyun Qin, Jianguo Duan, Ying Zhou

“…Finally, through the optimization of a supervised contrastive learning (SCL) strategy, the model can better capture the subtle differences between different fault types. Experimental results show that the proposed method has an accuracy of 99.61%, 97.48%, and 96.22% in the classification task of multiple crack fault types at three speeds, which is significantly better than Multilayer Perceptron (MLP), Residual Network (ResNet), Momentum Contrast (MoCo), and Transformer methods.…”
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Scattering of Electromagnetic Waves by Frequency-Detuned Systems of Dielectric Resonators by O. O. Trubin

“…The capabilities of the proposed method are demonstrated by the example of optimizing the scattering characteristics of a demultiplexer built on the basis of two bandpass filters with different passband frequencies. …”
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Risk Assessment of UAS Events From the Perspective of Heterogeneous Graphs by Yu An, Qingpei Yang, Hao Liu, Liang Geng

“…The complex heterogeneous relationships are transformed into homogeneous subgraphs through different path patterns, which are used to represent the data. …”
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Тhe features of using PR and advertising in international business by Iryna Derid, Karina Bozhko, Inna Zorianska

“…The objectives: to define common and different in local and international relations with the public; to investigate the feasibility of using digital or non-digital advertising and PR tools in certain countries; to consider the causes of reputational risks of international corporations; to investigate the impact of advertising on the consumer through rational and emotional methods of influence, as well as informational and transformational motivation, depending on the type of product and the level of purchase risk; to combine the effects of advertising with the characteristics of culture. …”
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Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning by Ryan Santoso, Lisa Guignon, Guido Deissmann, Jenna Poonoosamy

“…Our method is generalizable and can be applied to different setups of droplet microfluidics experiments, facilitating efficient experimentation and analysis of complex crystallization processes.…”
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Assessing processes and results of living labs: toward a general framework by Julien Forbat, Marlyne Sahakian, Jasmin Annaheim, Anton Sentic

“…Through a systematic literature review, we uncover how different LLs—focused on transformative environmental outcomes such as achieving a low-carbon society—are assessed. …”
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Dynamics of Abundant Wave Solutions to the Fractional Chiral Nonlinear Schrodinger’s Equation: Phase Portraits, Variational Principle and Hamiltonian, Chaotic Behavior, Bifurcation... by Yu Tian, Kang-Hua Yan, Shao-Hui Wang, Kang-Jia Wang, Chang Liu

“…Combined with the semi-inverse method (SIM) and traveling wave transformation, we establish the variational principle (VP). …”
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Algorithm for Taming Rubidium Atomic Clocks Based on Longwave (Loran-C) Timing Signals by Xiaolong Guan, Jianfeng Wu, Zhibo Zhou, Yan Xing, Yuji Li, Huabing Wu, Aiping Zhao

“…First, we use the Fourier transform algorithm to analyse the time-frequency characteristics of the time-difference data in detail and accordingly propose a de-jittering correction algorithm for the long-wave timing data, which is aimed at improving the stability of the long-wave timing signals. …”
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Symmetry analysis, soliton solutions and conservation laws of the Q(L, m, n) equation by Gangwei Wang, Mengyue He, Qin Zhou, Abdul H. Kara

“…Subsequently, soliton solutions of this equation are obtained for different parameters relying on the solitary wave ansatz method. …”
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InfraredStereo3D: Breaking Night Vision Limits with Perspective Projection Positional Encoding and Groundbreaking Infrared Dataset by Yuandong Niu, Limin Liu, Fuyu Huang, Juntao Ma, Chaowen Zheng, Yunfeng Jiang, Ting An, Zhongchen Zhao, Shuangyou Chen

“…Our method is based on the actual perspective projection model so that each pixel is associated with a different projection ray. …”
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Osseointegration potential of boron-coated titanium alloy pedicle screw in rabbit spine model by Hidir Ozer, Mehdi Hekimoğlu, Ibrahim Kulac, Ozgur Can Eren, Yeliz Kasko Arici, Haydar Çelik, Ali Fahir Ozer

“…Method Twenty male albino rabbits were divided into control (n = 10) and experimental (n = 10) groups. …”
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Intelligent Online Multiconstrained Reentry Guidance Based on Hindsight Experience Replay by Qingji Jiang, Xiaogang Wang, Yuliang Bai, Yu Li

“…To address the sparse reward issue caused by multiconstraints, the improved Hindsight Experience Replay (HER) method is adaptively combined with Deep Deterministic Policy Gradient (DDPG) algorithm by transforming multiconstraints into multigoals. …”
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