Antiaging and Antioxidant Bioactivities of Asteraceae Plant Fractions on the Cellular Functions of the Yeast Schizosaccharomyces pombe by Rika Indri Astuti, Muhammad Eka Prastya, Irmanida Batubara, Eka Budiarti, Aulia Ilmiyawati

“…Interestingly, S. nodiflora water fractions significantly upregulated the mRNA transcripts of the Pap1-mediated core environmental stress response, namely, ctt1 gene in S. pombe. These data indicated that the fractions of Asteraceae plants had potential antioxidant and antiaging activities through various cellular modulations. …”
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Update of the list of qualified presumption of safety (QPS) recommended microbiological agents intentionally added to food or feed as notified to EFSA 21: Suitability of taxonomic... by EFSA Panel on Biological Hazards (BIOHAZ), Ana Allende, Avelino Alvarez‐Ordóñez, Valeria Bortolaia, Sara Bover‐Cid, Alessandra De Cesare, Wietske Dohmen, Laurent Guillier, Liesbeth Jacxsens, Maarten Nauta, Lapo Mughini‐Gras, Jakob Ottoson, Luisa Peixe, Fernando Perez‐Rodriguez, Panagiotis Skandamis, Elisabetta Suffredini, Marianne Chemaly, Pier Sandro Cocconcelli, Pablo Salvador Fernández Escámez, Miguel Prieto Maradona, Amparo Querol, Lolke Sijtsma, Juan Evaristo Suarez, Ingvar Sundh, Angela Botteon, Barizzone Fulvio, Sandra Correia, Lieve Herman

“…The TUs in the QPS list were updated based on a verification, against their respective authoritative databases, of the correctness of the names and completeness of synonyms. Of 54 microorganisms notified to EFSA between April and September 2024 (33 as feed additives, 17 as food enzymes or additives, 4 as novel foods), 50 were not evaluated because: 12 were filamentous fungi, 1 was Enterococcus faecium and 8 were Escherichia coli (all excluded from the QPS evaluation), and 29 were TUs that already have a QPS status. …”
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First Molecular Identification of <i>Entamoeba</i> spp. in Sheep, Beef Cattle, and Dairy Cattle in Shanxi Province, North China by Ze-Xuan Wu, Han-Dan Xiao, Yuan-Hui He, Shi-Bo Huang, Jing Li, Yu Kang, Wen-Bin Zheng, Xing-Quan Zhu

“…According to the obtained SSU rRNA sequences, several <i>Entamoeba</i> species, namely <i>Entamoeba bovis</i>, <i>Entamoeba</i> Ribosomal Lineage (RL) 2, <i>Entamoeba</i> RL4, and <i>Entamoeba</i> RL8, were identified. …”
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Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network by Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin

“…It emulates three unique foraging behaviours namelys chain, cyclone, and somersault foraging. The satellite images contain enormous amount of data and thus require exploration in large search space. …”
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Use of combined CZM and XFEM techniques for the patch shape performance analysis on the behavior of a 2024-T3 aluminum structure reinforced with a composite patch by Kouider Madani, Safaa Chahrazed Djebbar, Nadia Kaddouri, Mohamed El Ajrami, Mohamed Belhouari

“…Two main patch shapes have been highlighted, namely the square and circular shape. The results show clearly that the shape of the patch’s edges has an impact on the stresses reduction in the plate and subsequently ensures good resistance in terms of force-displacement curve and consequently delays the peeling of the adhesive. …”
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Impact of fluoxetine exposure on Lymnaea stagnalis and its developing eggs: integrating untargeted lipidomics, targeted metabolomics, and classical risk assessment by Diana Ilyaskina, Yumi Nakadera, Yumi Nakadera, Marja H. Lamoree, Joris M. Koene, Pim E. G. Leonards

“…In this study, we investigated the effects of SSRI antidepressant, namely, fluoxetine, exposure on the freshwater snail L. stagnalis, focusing on egg development, neurochemical pathways, and lipid metabolism. …”
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EventSegNet: Direct Sparse Semantic Segmentation from Event Data by Pengju Li, Yuqiang Fang, Jiayu Qiu, Jun He, Jishun Li, Qinyu Zhu, Xia Wang, Yasheng Zhang

“…To address these issues, this work explores a sparse semantic segmentation approach that directly addresses event data. We propose a network named EventSegNet that improves the ability to extract geometric features from event data by combining geometric feature enhancement operations and attention mechanisms. …”
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Roles of core nosZ denitrifiers in enhancing denitrification activity under long-term rice straw retention by Shijie Zhang, Shijie Zhang, Mengyao Hou, Mengyao Hou, Bing Li, Bing Li, Panfeng Guan, Panfeng Guan, Qing Chi, Qing Chi, Hao Sun, Hao Sun, Hangbo Xu, Hangbo Xu, Dongjie Cui, Dongjie Cui, Yupan Zhu, Yupan Zhu

“…Four straw retention treatments with equivalent chemical fertilizers were applied, namely no straw (NS), wheat straw only (WS), rice straw only (RS), and wheat and rice straw (WRS). …”
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One Nudge Can Be Enough:Reducing Cigarette ButtLittering in Public Areas by Artsiom Klunin, Matúš Sloboda, Emília Sičáková-Beblavá, Patrik Pavlovský

“…This paper demonstrates the potential of behavioural science, namely nudges employing gamification, salience, and priming. …”
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Expression and prognosis of cellular senescence genes in head and neck squamous cell carcinoma by Chen Feng, Lijuan Zhu, Wei Mao, Pin Dong, Xinwei Chen

“…Results We identified 5 cellular senescence genes associated with HNSC, namely, BTG3, EHF, EZH2, TACC3 and TXN. These cellular senescence genes were analyzed in the training and test groups and were found to be significantly associated with the prognosis of HNSC patients. …”
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Dual Fine-Grained network with frequency Transformer for change detection on remote sensing images by Zhen Li, Zhenxin Zhang, Mengmeng Li, Liqiang Zhang, Xueli Peng, Rixing He, Leidong Shi

“…This research introduces a dual fine-grained network with a frequency Transformer (named as FTransDF-Net) to address the above issues. …”
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Unveiling user identity across social media: a novel unsupervised gradient semantic model for accurate and efficient user alignment by Yongqiang Peng, Xiaoliang Chen, Duoqian Miao, Xiaolin Qin, Xu Gu, Peng Lu

“…In the case of strongly semantic long texts, GSMUA employs Named Entity Recognition (ENR) technology in order to enhance the inefficient handling of such texts. …”
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Machine Learning Based Modeling of Thermospheric Mass Density by Qian Pan, Chao Xiong, Hermann Lühr, Artem Smirnov, Yuyang Huang, Chunyu Xu, Xu Yang, Yunliang Zhou, Yang Hu

“…To assess the performance of the MBiLE model, the model predictions were compared with observations from several satellites, namely, the Swarm C, the Challenging Minisatellite Payload (CHAMP) and the Gravity Field and Steady‐State Ocean Circulation Explorer (GOCE) satellites. …”
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Influence of Sweetness and Ethanol Content on Mead Acceptability by Gomes Teresa, Dias Teresa, Cadavez Vasco, Verdial João, Morais Jorge Sá, Ramalhosa Elsa, Estevinho Letícia M.

“…Concerning sensory analysis, the alcohol content of mead had no effect on the sensory attributes studied, namely, aroma, sweetness, flavour, alcohol feeling and general appreciation. …”
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Design, Synthesis, and Pharmacological Screening of Novel Porphyrin Derivatives by Ahmed A. Fadda, Rasha E. El-Mekawy, Ahmed El-Shafei, Harold S. Freeman, David Hinks, Manal El-Fedawy

“…A series of porphyrin derivatives 2a–f was synthesized, namely, 5,10,15,20-mesotetrakis[p-methoxyphenyl]-21H,23H-porphyrin (2a), 5,10,15,20-mesotetrakis[2,6-dichloro-phenyl]-21H,23H-porphyrin (2b), 5,10,15,20-mesotetrakis[4-hydroxy-3,5-dimethoxyphenyl]-21H,23H-porphyrin (2c), 5,10,15,20-mesotetrakis[3,4-dimethoxyphenyl]-21H,23H-porphyrin (2d), 5,10,15,20-mesotetrakis[2,4-dichlorophenyl]-21H,23H-porphyrin (2e), and 5,10,15,20-mesotetrakis[3,4,5-trimethoxyphenyl]-21H,23H-porphyrin (2f), in high yields using a new method via a capping mechanism. …”
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OA-MEN: a fusion deep learning approach for enhanced accuracy in knee osteoarthritis detection and classification using X-Ray imaging by Xiaolu Ren, Xiaolu Ren, Lingxuan Hou, Shan Liu, Peng Wu, Siming Liang, Haitian Fu, Chengquan Li, Ting Li, Yongjing Cheng

“…We propose a deep learning model named OA-MEN, which integrates a hybrid model combining ResNet and MobileNet feature extraction with multi-scale feature fusion. …”
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Extrinsic attributes that drive consumer purchase of block mozzarella by K. Homwongpanich, M.E. Watson, D. Rovai, H. Eshpari, M.A. Drake

“…Subsequently, 2.5-h immersive qualitative focus groups were conducted (n = 28 consumers) that included mozzarella usage occasion discussion, naming identification, block mozzarella sorting, label discussion, and group tasting. …”
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Effects of the crystallinity of fluoropolymer binders components in polymer-bonded explosives on shock Hugoniots: A computational study by Wen-yu Zhou, Hua-rong Li, Yong Han, Liu Liu, Hong Yang, Yang Zhou

“…The obtained macroscopic characteristic parameters, namely κo and co, exhibited an exponential dependence on crystallinity. …”
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Fatigue life prediction of asphalt binders under variable loading levels based on dissipated pseudo-strain energy by Chenze Fang, Hui Li, Zhenxia Li, Yuanzhao Chen, Tengteng Guo

“…Then, the variable loading level fatigue (VLLF) tests were performed according to the different loading level sequences namely low-high level (σL-σH) and high-low level (σH-σL). …”
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Analysis of genetic relationships in the breeding material of <i>Prunus armeniaca</i> L. from the collection of the Mountain Botanical Garden, Dagestan by D. M. Anatov, I. I. Suprun, I. V. Stepanov, R. M. Osmanov, S. V. Tokmakov

“…Clustering the accessions with the principal coordinates analysis and Bayesian analysis on the basis of their genotyping data made it possible to identify general patterns in the distribution of cultivars and seedlings, namely the concentration of seedlings next to their maternal parents. …”
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