Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…Traditional algorithms are effective in simple scenarios, but are often limited by design features in complex environments. Algorithms based on deep learning are more suitable for automated fruit picking due to their high efficiency and accuracy. …”
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Optically tunable catalytic cancer therapy using enzyme-like chiral plasmonic nanoparticles by Haeun Kang, Subin Yu, Ryeong Myeong Kim, Youngbi Kim, Sang Chul Shin, Dohyub Jang, Jeong Hyun Han, Sugyeong Hong, Eunice EunKyeong Kim, Sun Hee Kim, Dong June Ahn, Jeong Woo Han, Sehoon Kim, Ki Tae Nam, Luke P. Lee, Dong Ha Kim

“…Abstract Cascade enzymatic reactions in living organisms are fundamental reaction mechanisms in coordinating various complex biochemical processes such as metabolism, signal transduction, and gene regulation. …”
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Design of nonlinear gradient sheet-based TPMS-lattice using artificial neural networks by Zhou Li, Junhao Li, Jiahao Tian, Shiqi Xia, Kai Li, Guanqiao Su, Yao Lu, Mengyuan Ren, Zhengyi Jiang

“…A new design methodology for the nonlinear gradient structure was proposed in this study, with the aim of achieving efficient and accurate modeling of complex and gradient sheet-based TPMS structures under specific performance objectives. …”
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Research progress on additive manufacturing technology in diamond tool preparation by WEI Yingkang, LI Jiaxu, WANG Yan, WANG Jianyong, ZHANG Liangliang, WU Xiwang, LIU Shifeng

“…Compared to the traditional manufacturing technology, the additive manufacturing can fundamentally solve the problems of innovative design and efficient fabrication for the complex structural components, which is known as a potential effective method for the preparation of high-performance diamond tools. …”
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A novel adaptive multi-scale wavelet Galerkin method for solving fuzzy hybrid differential equations by V. Murugesh, M. Priyadharshini, Yogesh Kumar Sharma, Sultan Mesfer Aldossary, Shakti Kundu, Saksham Malik, Kedir Botamo Adem, Arshad Hashmi

“…Abstract Complex dynamical systems are represented by fuzzy hybrid differential equations (FHDEs), which describe systems that have mixed discrete and continuous behaviours with uncertainty. …”
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Advancing breast cancer diagnosis: token vision transformers for faster and accurate classification of histopathology images by Mouhamed Laid Abimouloud, Khaled Bensid, Mohamed Elleuch, Mohamed Ben Ammar, Monji Kherallah

“…ViTs are notably recognized for their complex architecture, which requires high-performance GPUs or CPUs for efficient model training and deployment in real-world medical diagnostic devices. …”
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CO2-promoted photocatalytic aryl migration from nitrogen to carbon for switchable transformation of N-arylpropiolamides by Ge Liu, Denghui Ma, Jianchen Zhang, Fanyuanhang Yang, Yuzhen Gao, Weiping Su

“…As a result, this protocol features with a broad substrate scope, as demonstrated by more than 90 examples including complex bioactive compounds. Notably, abundant, nontoxic and low-cost CO2 acted as an essential and irreplaceable additive to enable the tetra- and tri-substituted alkenyl amides to be synthesized with excellent selectivity.…”
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Discrete Immolative Guanidinium Transporters deliver mRNA to specific organs and red blood cells by Zhijian Li, Aloysius Ee, Laura Amaya, Jennifer L. Hamad, Pavan K. Yadav, Sean K. Wang, Howard Y. Chang, Paul A. Wender

“…Existing delivery systems often suffer from laborious syntheses, limited organ selectivity, formulation complexity, and undesired inflammatory responses. …”
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A hybrid deep learning framework for global irradiance prediction using fuzzy C-Means, CNN-WNN, and Informer models by Walid Mchara, Lazhar Manai, Mohamed Abdellatif Khalfa, Monia Raissi, Wissem Dimassi, Salah Hannachi

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Can mechanistic constraints on recombination reestablishment explain the long-term maintenance of degenerate sex chromosomes? by Lenormand, Thomas, Roze, Denis

“…In the long term, recombination suppression may be maintained for selective reasons (e.g., involving the emergence of nascent dosage compensation), or due to mechanistic constraints preventing the reestablishment of recombination, for instance when complex chromosomal rearrangements evolve on the Y. …”
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Beyond Adaptive Control: A Control Method for Nonlinear Systems With Uncertainties, Applied to COVID-19 by Andrew C. Mathis, Juan A. Carretero, Jonathon W. Sensinger

“…When the outcome of an action cannot be precisely known, it is difficult to select actions to get a desired result. This problem can be caused by uncertain parameters, such as not knowing how slippery a road is when driving in icy conditions. …”
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Improving model-free prediction of chaotic dynamics by purifying the incomplete input by Hongfang Tan, Lufa Shi, Shengjun Wang, Shi-Xian Qu

“…Despite the success of data-driven machine learning in forecasting complex nonlinear dynamics, predicting future evolution based on incomplete historical data remains challenging. …”
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Research and Design of an Active Light Source System for UAVs Based on Light Intensity Matching Model by Rui Ming, Tao Wu, Zhiyan Zhou, Haibo Luo, Shahbaz Gul Hassan

“…Extensive qualitative and quantitative experiments confirm that the UAV active light source system based on light intensity matching proposed in this paper effectively enhances the effectiveness and robustness of vision-based tracking for multi-UAVs, particularly in complex and variable environments. This research provides an efficient and computationally effective solution for vision-based multi-UAV systems, further enhancing the visual tracking capabilities of multi-UAVs under complex conditions.…”
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Evaluation of the effectiveness of sliding redundancy of radioelectronic facilities by T. E. Gelfman, A. P. Pirkhavka

“…Practical recommendations on the selection of the redundancy mode are presented according to different reliability indices and constructed mathematical models of the sliding redundancy efficiency coefficients. …”
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Manipulating photodissociation dynamics via an embedding UV pulse by Yan Rong Liu, Xin Bai, Quan Wei Nan, Victor Kimberg, Maomao Gong, Yu Kun Yang, Yongjun Cheng, Jing Chen, Oriol Vendrell, Kiyoshi Ueda, Jan-Michael Rost, Song Bin Zhang

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Atmospheric Heating Events Associated with Fine-scale Flux Emergence in Ephemeral Regions by Hanlin Yang, Jingxiu Wang, Chunlan Jin

“…It is commonly believed that the source of coronal heating comes from the Sun’s magnetic field, and more complex magnetic dynamics are more efficient in heating. …”
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New Seaport Development-Prospects and Challenges: Perspectives from Apapa and Calabar Seaports, Nigeria by Adepoju Olusegun Onifade

“…Descriptive analysis was used to examine the challenges of the selected seaports, while stochastic frontier analysis (SFA) was used to determine the efficiency of the selected seaports. …”
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Development of a graphical user interface for visualizing solid-state crystal parameters from XRD data and the Cramer-Cohen algorithm for sustainable material management by Maulana Ardi, Irzaman, Wahjuni Sri, Priandana Karlisa

“…This study introduces a Python-based GUI tool that streamlines lattice parameter calculations by integrating the Cramer-Cohen algorithm, which applies Bragg’s law and crystallographic geometry to transform complex analyses into an efficient workflow. The interface enables users to select five crystal systems (cubic, tetragonal, hexagonal, orthorhombic, monoclinic), input X-ray diffraction angles (2θ) and Miller indices (khl), and automatically compute lattice parameters. …”
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A Qualitative Inquiry into Nursing Students’ Experience of Facilitating Reflection in Clinical Setting by Shahnaz Karimi, Fariba Haghani, Nikoo Yamani, Majid Najafi Kalyani

“…Motivation to reflect, complex experiences, efficient trainer, and effective relations were four main themes obtained from study that, in interaction with each other, had facilitating roles in students’ reflective process on experiences. …”
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Performance of speech enhancement models in video conferences: DeepFilterNet3 and RNNoise by Muhammad Iqbal Maulana, Muhammad Fadhlillah Raisul Akbar, Zendi Iklima

“…In this study, we conducted an in-depth analysis of two speech enhancement models, RNNoise and DeepFilterNet3, selected for their respective strengths. DeepFilterNet3 leverages time-frequency masking with a Complex Mask filter, while RNNoise employs Recurrent Neural Networks with lower complexity. …”
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