Non-Destructive Detection of External Defects in Potatoes Using Hyperspectral Imaging and Machine Learning by Ping Zhao, Xiaojian Wang, Qing Zhao, Qingbing Xu, Yiru Sun, Xiaofeng Ning

“…Firstly, Savitzky–Golay (SG), standard normal variate transformation (SNV), multiplicative scatter correction (MSC), the normalization algorithm, and different preprocessing algorithms combined with SG were used to preprocess the hyperspectral data. …”
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Deep Learning Technology for Weld Defects Classification Based on Transfer Learning and Activation Features by Chiraz Ajmi, Juan Zapata, Sabra Elferchichi, Abderrahmen Zaafouri, Kaouther Laabidi

“…For this, we have enhanced our dataset focusing on two types of defects and augmented using data augmentation (random image transformations over data such as translation and reflection). …”
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Overview of the Foreign Language Sections in the Matriculation Exam in Poland and the University Entrance Exam in Turkiye by Agnieszka M. Sendur, Ferit Kılıçkaya

“…In Poland, language acquisition is seen as a tool for effective communication, while in Türkiye, it is often perceived as rote memorization of grammar and vocabulary. This difference in mindset is influenced by prevailing assessment practices, where Türkiye’s evaluation methods prioritize memorization, leading to a diminished emphasis on communication and practical language use. …”
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The role of FDI in regional economic growth in Central & Eastern Europe: the case of the Hungarian regions by Zoltan Gal, Andras Gyimesi

“…This paper examines the relationship between FDI inflows, GDP growth, and gross fixed capital formation (GFCF) in Hungarian regions from 2000 to 2018 using panel econometric methods. Panel granger causality tests, and panel regression models (using first difference effect) are conducted controlling for GFCF, employment, R&D and the global financial crisis. …”
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Social reproduction and health: contributions from Breilh and Lukács to social thinking in collective health by Diego de Oliveira Souza

“…The author also defines essential principles for transforming life: sustainability, sovereignty, solidarity, and integral security. …”
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High‐performance alumina composite ceramics with brick‐and‐mortar structure derived from microsphere by Yedong Rong, Shihui Zhao, Qifan Zhang, Jianli Qiao, Guolong Sang, Xiaoqing Xi, Jinlong Yang

“…Abstract A series of alumina composite ceramics with a brick‐and‐mortar structure were successfully prepared by coating with different contents of ZrO2 and alumina sol on Al2O3 microspheres and hot pressing. …”
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Enhancing Collaborative Learning Environments: A Multi-Feature Fusion Model for Disruptive Talk Detection by Shuang Yu, Junmin Ye, Chen Zhang, Qingtang Liu, Sheng Luo, Mengting Nan, Qi Xu, Xinghan Yin

“…The model integrates both Bidirectional Encoder Representations from Transformers (BERT) and Bidirectional Long Short-Term Memory (Bi-LSTM) models. …”
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Alpha Smooth Muscle Actin Expression in a Case of Ameloblastic Carcinoma: a Case Report by Swati Roy, Vipul Garg

“…The expression of myofibroblasts was also compared with that of ameloblastoma. Results: Difference between the two lesions in the pattern of expression of alpha smooth muscle actin was also observed. …”
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Venture capital as a way to develop an innovative model of the Russian economy by L. K. Bzegezheva

“…The objectives of the study include identifying the role and significance of venture capital in the Russian economy transformations. The author used the methods of statistical, financial, dialectical and logical analysis. …”
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Understanding family functioning in mothers and daughters with obesity by Becky Marquez, Florencia Lebensohn-Chialvo, Tala Al-Rousan

“…These responses include avoidance, withdrawal, and defensiveness. 4) Role transformations alter the generational hierarchical relationship. …”
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Predicting sleep quality with digital biomarkers and artificial neural networks by Hyolim Lee, Minsung Cho, Sang Won Lee, Sang Won Lee, Sungkyu Park

“…We analyzed seven days of preceding data to predict next-day WASO using various machine learning approaches including ARIMA, Random Forest, XGBoost, GRU, TCN, Transformers, and LSTM models.ResultsAmong HRV features, the low-frequency to high-frequency (LF/HF) ratio emerged as the strongest correlate with WASO, showing statistically significant differences between groups (Lower LF/HF: 7.5±2.0 min vs. …”
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Contribution of Scalp Regions to Machine Learning-Based Classification of Dementia Utilizing Resting-State qEEG Signals by Simfukwe C, An SSA, Youn YC

“…Resting-state EEG (rEEG) signals were recorded and transformed into relative power spectral density (PSD) data for analysis. …”
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Detection of Bipolar Disorder and Schizophrenia Employing Bayesian-Optimized Grad-CAM-Driven Deep Learning by Osman Tayfun Bişkin, Cemre Candemir, Mustafa Alper Selver

“…Deep learning (DL) has emerged as a transformative tool in neuroimaging analysis, offering the ability to automatically extract intricate features from large datasets. …”
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Clinical information prompt-driven retinal fundus image for brain health evaluation by Nuo Tong, Ying Hui, Shui-Ping Gou, Ling-Xi Chen, Xiang-Hong Wang, Shuo-Hua Chen, Jing Li, Xiao-Shuai Li, Yun-Tao Wu, Shou-Ling Wu, Zhen-Chang Wang, Jing Sun, Han Lv

“…Results The proposed framework yielded average RMSE, PSNR, and SSIM values of 98.23, 35.78 dB, and 0.64, respectively, which significantly outperformed 5 other methods: multi-channel Variational Autoencoder (mcVAE), Pixel-to-Pixel (Pixel2pixel), transformer-based U-Net (TransUNet), multi-scale transformer network (MT-Net), and residual vision transformer (ResViT). …”
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Adsorption of Bromothymol Blue Dye onto Bauxite Clay by Asmaa Nihad Zaki, Kawther Ahmed Sadiq, Shaymaa K. Ghati, Jasim M. S. Jamur, Sarab Jassim Mohammed

“…The adsorption behavior of bromothymol blue dye from an aqueous solution was studied using bauxite clay. Different variables such as contact time, dosage, ionic strength, and temperature were studied to show the effect on bromothymol blue adsorption onto bauxite clay from an aqueous solution using the batch adsorption method. …”
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Real-Time Prediction of the Dynamic Spatial Configuration of Umbilical Cables Based on Monitoring Data During Deep-Sea In-Situ Mining by Chaojun Huang, Shuqing Wang, Jiancheng Liu, Lei Li, Wencheng Liu, Lin Huang, Zhihao Yu, Wen Shen, Yuankun Sun, Yu Liu, Yuanyuan Liu

“…At first, the environmental information, position and motion of the vessel–umbilical cable–mining system were collected by sensors arranged at different locations. Then, the data were converted and transformed to the local vessel coordinate system. …”
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Disparities in use modalities among adults who currently use cannabis, 2022–2023 by Meman Diaby, Osayande Agbonlahor, Bethany Shorey Fennell, Joy L. Hart, Delvon T. Mattingly

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Transcriptomic and proteomic signatures of host NK cells delineate distinct immune states across tuberculosis infection statuses by Han Zhang, Liguo Liu, Jie Hu, Xiaolin Wu, Jianhua Zheng, Henan Xin, Jiang Du, Jiarong Yang, Zizheng Lv, Zhuoran Wu, Lei Gao, Rongmei Liu, Haidan Sun, Xiaobing Zhang, Qi Jin

“…Further analysis revealed that the expression of genes mediating the NK cell-mediated cytotoxicity signaling pathway through perforin–granzyme was upregulated in the LTBI state, whereas that of those associated with death receptors was elevated in ATB, potentially indicating a transformation of NK cell function in different TB infection states. …”
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Detailed Architectural Design of a Multi-Head Self-Attention Model for Lithium-Ion Battery Capacity Forecasting by Juyeon Park, Gyeong Ho Lee, Jangkyum Kim, Yoon-Sik Yoo, Il-Woo Lee

“…This paper introduces a novel system based on a transformer encoder architecture, leveraging Multi-Head Self-Attention (MHSA) layers to enhance battery capacity prediction. …”
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MFF: A Deep Learning Model for Multi-Modal Image Fusion Based on Multiple Filters by Yuequn Wang, Zhengwei Li, Jianli Wang, Leqiang Yang, Bo Dong, Hanfu Zhang, Jie Liu

“…Multi-modal image fusion mainly refers to the feature fusion of two or more different images taken from the same perspective range to increase the amount of information contained in an image. …”
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