Phase Relations in Ba6−3xLn8+2xTi18O54 (Ln = Nd & Sm) Electroceramics by Amanda L. Snashall, Yun Liu, Frank Brink, Ray L. Withers, Steven Cooper

“…BLnTss, x=0.33, ceramics with high Sm content are found to experience a severe degradation of Qf and changes in τcf trending, associated with the onset of globular and needle-like grain morphology and a Ba-Ti rich phase. x=0.67 ceramics with high Nd content are found to exhibit a secondary phase (Nd2Ti2O7) upon prolonged sintering which resulted in beneficial changes to Qf and τcf without affecting εr. …”
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Effects of milling temperature and time on phase evolution of Ti-based alloy by Kristaly F., Sveda M., Sycheva A., Miko T., Racz A., Karacs G., Janovszky D.

“…As a function of the milling time, evaluation of phases, morphology, and the refinement of grain size were investigated by scanning electron microscopy (SEM) and X-ray diffraction analysis (XRD), differential scanning calorimetry (DSC), transmission electron microscopy (TEM), and laser-diffraction particle size analysis (PSA). …”
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Enhanced Light Scattering by Preferred Orientation Control of Ga Doped ZnO Films Prepared through MOCVD by Long Giang Bach, Nam Giang Nguyen, Van Thi Thanh Ho

“…We found that the light diffuse transmittance of the film with a GZO (800 nm)/ZnO (766 nm) exhibited 13% increase at 420 nm wavelength due to the formed large grain size of the pyramidal texture surface. Thus, the obtained GZO films deposited over ZnO buffer layer have high potential for use as front TCO layers in Si-based thin film solar cells. …”
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Learning with semantic ambiguity for unbiased scene graph generation by Shanjin Zhong, Yang Cao, Qiaosen Chen, Jie Gong

“…This method assigns soft labels to samples exhibiting semantic ambiguities and optimizes model training by adjusting the loss weights for fine-grained and low-frequency relation samples. Its model-agnostic design facilitates seamless integration with diverse SGG models, enhancing their performance across various relation categories. …”
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Research on the optimization of mechanical properties of triply periodic minimal surfaces in composite materials prepared with the assistance of acoustic fields by Shuai Guo, Xianliang Sheng, Anfu Guo, Wenlu Yang, Xiaolin Zhao, Shang Sui, Jiaqiang Li, Yufan Zhao, Meng Wang, Xin Lin

“…The addition of WC led to grain refinement and weakened the texture. Meanwhile, the acoustic streaming and cavitation effects generated by the AF reduced residual stress, ultimately improving the overall mechanical properties of the lattice structures.…”
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Deficient Purposeful Use of Forepaws in Female Mice Modelling Rett Syndrome by Bianca De Filippis, Mattia Musto, Luisa Altabella, Emilia Romano, Rossella Canese, Giovanni Laviola

“…MeCP2-308 heterozygous female mice (Het, 10-12 months of age) were impaired in tasks validated for the assessment of purposeful and coordinated forepaw use (Morag test and Capellini handling task). A fine-grain analysis of spontaneous behaviour in the home-cage also revealed an abnormal handling pattern when interacting with the nesting material, reduced motivation to explore the environment, and increased time devoted to feeding in Het mice. …”
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Manufacture and characterization of lightweight sand-plastic composites made of plastic waste and sand: Effect of sand types by Salih Mekideche, Mansour Rokbi, Zine El Abidine Rahmouni, Resego Phiri, Sanjay Mavinkere Rangappa, Suchart Siengchin

“…First of all, two initial used compounds (waste PP and various silica sand) were analyzed by using ATR-FTIR, XRF, and grain size distribution. In the second time, the different plastic-bonded sand composites were analyzed by using ATR-FTIR to assess their composition. …”
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Effects of different thermal processing methods on bioactive components, phenolic compounds, and antioxidant activities of Qingke (highland hull-less barley) by Qingyue Hong, Guangjing Chen, Zhirong Wang, Xuhui Chen, Jianquan Kan

“…Qingke (highland hull-less barley) is a grain replete with substantial nutrients and bioactive ingredients. …”
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Development of a rapid detection technology system for noxious plants based on a novel isothermal amplification technique by Ting Zhang, Ting Zhang, Han Xu, Mengdi Liu, Wei Zhang

“…We targeted the seeds, leaves, and grain impurities of four major noxious weeds: Amaranthus palmeri, the A.tuberculatus complex, Rhaponticum repens, and Euphrosyne xanthiifolia, we designed and screened primers and probes suitable for this isothermal amplification method, determined their limit of detection, optimized the genomic DNA extraction methods, and verified the method. …”
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Blockchain sharding scheme based on generative AI and DRL: Applied to building internet of things by Jinlong Wang, Yixin Li, Yunting Wu, Wenhu Zheng, Shangzhuo Zhou, Xiaoyun Xiong

“…However, since the historical interaction characteristics do not accurately reflect the interaction details within specific fine-grained time periods, this leads to poor system performance. …”
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The formation and stripping mechanism of oxide film on stainless steel surfaces by Zhenqi Shen, Guangkai Wang, Fang Bao, Tianhao Liu, Yang Fei, Zhenni Xie, Yuxin Liang, Xincheng Wang

“…Furthermore, the stripping mechanism of oxide films on stainless steel surfaces was proposed, revealing the transition from a passivated state to an over-passivated state in nitric acid environments and leading to intergranular corrosion and potential grain detachment.…”
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AlgaeClass_Net: Optimizing Few-Shot Marine Microalgae Classification With Multi-Scale Feature Enhancement Network by Dan Liu, Guihong Yuan, Huachao Tan, Yanbo Jiang, Hai Bi, Yuan Cheng

“…In this paper, an AlgaeClass_Net algorithm that combines an improved multi-scale feature fusion with a feature enhancement module is proposed for the fine-grained features of microalgae. Furthermore, it utilizes a metric learning approach to classify few-shot microalgae by calculating the distances between the feature vectors of samples in the query set and the feature vectors of samples in the support set. …”
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MPAR-RCNN: a multi-task network for multiple person detection with attribute recognition by S. Raghavendra, S. K. Abhilash, Venu Madhav Nookala, Jayashree Shetty, Praveen Gurunath Bharathi

“…This problem often involves detecting objects with multiple attributes, necessitating sophisticated models capable of both high-level differentiation and fine-grained feature extraction. The integration of object detection and attribute recognition typically relies on approaches such as dual-stage networks, where accurate predictions depend on advanced feature extraction techniques, such as Region of Interest (RoI) pooling. …”
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SCREENING FOR MAIZE RESISTANT GENOTYPES AGAINST STALK BORERS’ (Sesamia calamistis Hampson) INFESTATION IN MINNA, NIGER STATE, NIGERIA by Idowu, G.A., Oyewale, R.O., Jiboh, B.S., Bolajoko, M.H., Ibrahim, H.M., Bello, A.K

“…MG-C and MG-A had the highest grain yields among the genotypes. Therefore, MG-H and MG-S were recommended as tolerant maize genotypes while MG-C and MG-S were also recommended as high yielding maize genotypes among other genotypes under study.…”
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A multigrained preference analysis method for product iterative design incorporating AI-generated review detection by Zhaojing Su, Mei Yang, Qingbo Zhai, Kaiyuan Guo, Yuexin Huang, Yangfan Cong

“…Subsequently, attribute-grained preference analysis is considered a text-filling problem and uses the text-infilling objective for domain-adaptive pretraining, facilitating knowledge transfer. …”
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Ion irradiation introduced high-density core-shell structured nanoprecipitates in FeCrNi by Yizhou Qian, Xiaolei Ma, Kangkang Wen, Siyu Chen, Yiheng Chen, Yugang Wang, Tongde Shen, Gang Sha, Chenxu Wang

“…This synthesis method overcomes traditional limitations posed by thermodynamic constraints and grain boundary (GB) agglomeration, providing a potential pathway for the precise tailoring of microstructures. …”
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Statistical Model for the Mechanical Properties of Al-Cu-Mg-Ag Alloys at High Temperatures by A. M. Al-Obaisi, E. A. El-Danaf, A. E. Ragab, M. S. Soliman, A. N. Alhazaa

“…The main concern in such alloys is to maintain mechanical properties during operation at high temperatures. Grain coarsening and instability of precipitates could be the main reasons behind mechanical strength deterioration in these applications. …”
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A deep learning method for differentiating safflower germplasm using optimal leaf structure features by Hoang Thien Van, Phuong Thuy Khuat, Trang Van, Thai Thanh Tuan, Yong Suk Chung

“…Traditional classification methods can be time-consuming and error prone, underscoring the need for fine-grained classification techniques. To address this, we introduce a novel comprehensive leaf database of safflower varieties that is meticulously curated by experts. …”
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UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors by Yi Xu, Zhigang Chen, Ming Zhao, Fengxiao Tang, Yangfan Li, Jiaqi Liu, Nei Kato

“…The tracking performance in dynamic contexts is still unreliable for ambient camera-based methods, despite their general ability to pinpoint pedestrians in video frames at fine-grained levels. Contrarily, ultra-wideband-based technology can continuously track pedestrians, but they are frequently susceptible to the effects of non-line-of-sight (NLOS) errors on the surrounding environment. …”
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Aspect category sentiment analysis based on pre-trained BiLSTM and syntax-aware graph attention network by Guixian Xu, Zhe Chen, Zixin Zhang

“…Abstract Aspect Category Sentiment Analysis (ACSA) is a fine-grained sentiment analysis task aimed at predicting the sentiment polarity associated with aspect categories within a sentence.Most existing ACSA methods are based on a given aspect category to locate sentiment words related to it. …”
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