Lingguizhugan Decoction Protects against High-Fat-Diet-Induced Nonalcoholic Fatty Liver Disease by Alleviating Oxidative Stress and Activating Cholesterol Secretion by Lili Yang, Weili Lin, Colleen A. Nugent, Shijun Hao, Haiyan Song, Tao Liu, Peiyong Zheng

“…Lingguizhugan decoction (LGZG), a classical Chinese herbal formula, has beneficial effects on NAFLD animal models. …”
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Opposite outcomes of triglyceride-glucose index and associated cardiovascular mortality risk in type 2 diabetes mellitus participants by different obesity criteria by Hui Huang, Jing Tian, Jiahui Xu, Qingguang Chen, Mengjie Cai, Hao Lu, Fan Gong

“…Abstract We investigated the correlation between Triglyceride-glucose (TyG) index and cardiovascular disease (CVD) mortality in type 2 diabetes mellitus (T2DM) population across different obesity classications using a cohort study. We analyzed 7867 T2DM participants from the National Health and Nutrition Examination Survey 1999–2018, categorizing them into obese or non-obese group by body mass index (BMI) and waist circumference (WC). …”
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The future of plant lectinology: Advanced technologies and computational tools by Vinicius J.S. Osterne, Kyria S. Nascimento, Benildo S. Cavada, Els J.M. Van Damme

“…Lectins play crucial roles in many biological processes and serve as tools in fields ranging from agriculture to biomedicine. While classical methods for lectin discovery and characterization were foundational for the field, they often lack sensitivity and throughput, limiting the detection of less abundant or weakly binding lectins, such as the stress-inducible or monovalent lectins. …”
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Psychological, psychiatric, and behavioral sciences measurement scales: best practice guidelines for their development and validation by Alberto Stefana, Stefano Damiani, Umberto Granziol, Umberto Provenzani, Marco Solmi, Marco Solmi, Marco Solmi, Marco Solmi, Marco Solmi, Eric A. Youngstrom, Eric A. Youngstrom, Eric A. Youngstrom, Paolo Fusar-Poli, Paolo Fusar-Poli, Paolo Fusar-Poli

“…In the Scale Evaluation Phase, the dimensionality, reliability, and validity of the scale are rigorously tested using both classical and modern psychometric techniques. Finally, in the Finalization Phase, the optimal item sequence is decided, and a comprehensive inventory manual is prepared. …”
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Autonomous detection of nail disorders using a hybrid capsule CNN: a novel deep learning approach for early diagnosis by Gunjan Shandilya, Sheifali Gupta, Salil Bharany, Ateeq Ur Rehman, Upinder Kaur, Hafizan Mat Som, Seada Hussen

“…Based on this, we build an initial baseline CNN model, which is then further advanced by the introduction of the Hybrid Capsule CNN model by the reduction of space hierarchy deficiencies of the classic CNN model. All these models were trained and tested using the Nail Disease Detection dataset with intensive uses of techniques of data augmentation. …”
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PRPF3-Associated Autosomal Dominant Retinitis Pigmentosa and CYP4V2-Associated Bietti’s Crystalline Corneoretinal Dystrophy Coexist in a Multigenerational Chinese Family by Xiaohong Meng, Qiyou Li, Hong Guo, Haiwei Xu, Shiying Li, Zhengqin Yin

“…One missense mutation (c.1482C>T, p.T494M) in the PRPF3 gene was detected in 9 out of 22 affected family members who manifested classical clinical features of RP. Conclusions. Our results showed that two compound heterozygous CYP4V2 mutations caused BCD, and one missense mutation in PRPF3 was responsible for adRP in this large family. …”
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MSC-derived exosome ameliorates pulmonary fibrosis by modulating NOD 1/NLRP3-mediated epithelial-mesenchymal transition and inflammation by Wei Chen, Jie Peng, Xiangyi Tang, Shao Ouyang

“…Using cell counting kit-8 (CCK-8) to detect cell viability. Classic molecular biology approaches such as RT-qPCR, Western blot, immunofluorescence, and ELISA were used to examine molecular pathways. …”
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Social Entrepreneurship in Providing Employment: the Experience of Poland and Ukraine by Oleksandr Shpykuliak, Diana Shelenko, Ivan Balaniuk, Аnna Diuk, Hennadii Mazur, Sergiy Balaniuk, Andrii Boichuk

“…It was emphasized that classic social enterprises are virtually absent in Ukraine due to a lack of specific institutional and legal regulations. …”
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The Function of SUMOylation and Its Role in the Development of Cancer Cells under Stress Conditions: A Systematic Review by Qi Zhao, Ying Ma, Zugui Li, Kexin Zhang, Minying Zheng, Shiwu Zhang

“…This review focused on SUMOylation in tumor cells to discuss its effects on tumor suppressor proteins and oncoproteins as well as classical tumor pathways to identify new insights for cancer clinical therapy.…”
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Sulforaphane attenuates dextran sodium sulphate induced intestinal inflammation via IL-10/STAT3 signaling mediated macrophage phenotype switching by Yuyang Sun, Jiqing Tang, Cui Li, Jun Liu, Haijie Liu

“…Of note, sulforaphane skewed the switching from classically (M1) to alternatively (M2) activated phenotype both in intestinal and bone marrow-derived macrophages (BMDMs). …”
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An improved fuzzy time series forecasting model based on hesitant fuzzy sets by Lubna Shafi, Shilpi Jain, Praveen Agarwal, Pervaiz Iqbal, Aadil Rashid Sheergojri

“…The Hesitant Fuzzy Set (HFS) theory better emphasizes the chances of capturing fuzziness and uncertainty due to randomness than the classic fuzzy set theory. This study aims to improve the previously identified hesitant fuzzy TSF models by including various degrees of hesitation to improve forecasting performance. …”
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The DOA Estimation Algorithm Based on Virtual Domain Block Matching for Nested Arrays in the Presence of Mutual Coupling by Shun He, Nan Sun, Zhiwei Yang, Le Qin

“…The algorithm begins by partitioning the mutual coupling matrix of nested arrays, then applies a classical separation method used in Uniform Linear Array to obtain the separation parameters. …”
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An IS element-driven antisense RNA attenuates the expression of serotype 2 fimbriae and the cytotoxicity of Bordetella pertussis by Alexandre D’Halluin, Denisa Petráčková, Ivana Čurnová, Jakub Držmíšek, Jan Čapek, Peggy Bouquet, Loïc Henin, Rudy Antoine, Loïc Coutte, Camille Locht, Branislav Večerek, David Hot

“…Here, we describe the regulatory RNA Rfi2, which is transcribed from the Pout promoter of the IS481 gene BP1118 antisense to the adjacent fim2 gene encoding the major serotype 2 fimbrial subunit of B. pertussis. Among the classical bordetellae, Rfi2 is unique to B. pertussis, suggesting its specific role in virulence. …”
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Oxidative stress promotes lipid-laden macrophage formation via CYP1B1 by Yin Zhu, Saugata Dutta, Yohan Han, Dooyoung Choi, Francesca Polverino, Caroline A. Owen, Payaningal R. Somanath, Xiaoyun Wang, Duo Zhang

“…The formation of LLM was also associated with classically activated M1 but not the M2 state. CSE-induced LLM showed time-dependent alterations in inflammatory response and phagocytic ability. …”
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Susceptibility of European Agrilus beetle species to the biocontrol agents of Emerald Ash Borer in the laboratory by Katy Reed, Freya Cole, Neil Audsley, Anastasia Uglow, Rachel Down, Kerry Barnard, Daegan Inward

“…To allow a rapid response when the beetle is detected, slow its spread and protect trees as part of a wider integrated pest management programme, pre-emptive biological control strategies that are suitable for Great Britain and the rest of Europe must urgently be developed. Three classical hymenopteran biological control agents have been mass-reared and released within North America to control EAB: the egg parasitoid Oobius agrili Zhang and Huang (Hymenoptera: Encyrtidae), and the larval parasitoids Tetrastichus planipennisi and Spathius galinae Belokobylskij & Strazanac (Hymenoptera: Braconidae). …”
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Spectral multiplier theorems for abstract harmonic oscillators on UMD lattices by van Neerven, Jan, Portal, Pierre, Sharma, Himani

“…We prove functional calculus results for these abstract harmonic oscillators that match classical Hörmander spectral multiplier estimates for the harmonic oscillator $-\frac{1}{2}\Delta + \frac{1}{2}|x|^{2}$ on $L^{p}(\mathbb{R}^{d})$. …”
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Urdu Handwritten Characters Data Visualization and Recognition Using Distributed Stochastic Neighborhood Embedding and Deep Network by Mujtaba Husnain, Malik Muhammad Saad Missen, Shahzad Mumtaz, Dost Muhammad Khan, Mickäel Coustaty, Muhammad Muzzamil Luqman, Jean-Marc Ogier, Hizbullah Khattak, Sikandar Ali, Ali Samad

“…We performed three tasks in a disciplined order; namely, (i) we generated a state-of-the-art dataset of both the Urdu handwritten characters and numerals by inviting a number of native Urdu participants from different social and academic groups, since there is no publicly available dataset of such type till date, then (ii) applied classical approaches of dimensionality reduction and data visualization like Principal Component Analysis (PCA), Autoencoders (AE) in comparison with t-Stochastic Neighborhood Embedding (t-SNE), and (iii) used the reduced dimensions obtained through PCA, AE, and t-SNE for recognition of Urdu handwritten characters and numerals using a deep network like Convolution Neural Network (CNN). …”
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Telecommand Rejection Probability in CCSDS-Compliant LDPC-Coded Space Transmissions With Tail Sequence by Rebecca Giuliani, Massimo Battaglioni, Marco Baldi, Franco Chiaraluce, Nicola Maturo

“…A low-complexity approach classically used to detect CLTU termination is to choose a non-correctable string as the tail sequence, and then exploit the decoder failure on that sequence as termination detection. …”
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Functional Involvement of Melatonin and Its Receptors in Reproductive Regulation of the Marine Teleost, Large Yellow Croaker (<i>Larimichthys crocea</i>) by Xudong Liang, Jixiu Wang, Baoyi Huang, Haojie Yuan, Yucheng Ren, Chenqian Wu, Tianming Wang, Jingwen Yang

“…Enzyme- linked immunosorbent assay (ELISA) results further demonstrated that in vitro melatonin incubation in the brain of <i>L. crocea</i> influenced gonadotropin-releasing hormone (GnRH) and testosterone secretion in a dose-dependent manner, suggesting actions beyond the classical hypothalamic–pituitary–gonadal (HPG) axis. …”
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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

“…The proposed approach combines a transformer-based encoder trained with a triplet-based contrastive learning objective and the classical density-based clustering algorithm DBSCAN, enabling strong feature extraction, efficient and interpretable feature space organization and simple clustering algorithm. …”
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