Consumer preference and food values: can consumers in Tanzania play part in driving a sustainable food system? by Roselyne Alphonce, Yun Yun Gong, Hettie C. Schönfeldt, Lise Korsten

“…Notably, their understanding of safety centers on hygiene and spoilage, issues affecting short-term health, over long-term risks like aflatoxin, pesticide residues, and antimicrobial resistance. These patterns are consistent across consumer groups, though some variation emerges across different shopping contexts. …”
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The other in me: interpersonal multisensory stimulation changes the mental representation of the self. by Ana Tajadura-Jiménez, Stephanie Grehl, Manos Tsakiris

“…Changes in autonomic responses and in the subjective experience of self-identification were broadly consistent with patterns observed in other bodily illusions, but less robust. …”
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Differential effects of rice irrigation modes on hydrothermal environment and yield from the perspective of TOPSIS model by Sun Xuemei, Wang Siyu, Huang Yan, Sun Yanling, Chen Mo

“…Controlling the lower limit of irrigation would increase the effective number of rice tillers and improve the stem tiller spike formation rate, but it would reduce the SPAD and dry matter accumulations. …”
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Alternative food networks in supply Chains: A Biblio-metric analysis using RStudio and VOSViewer (1989–2024) by Wang Xi, Zailani Suhaiza

“…The results reveal an average annual growth rate of 11.19%, with a sharp increase in publications after 2020, driven by heightened interest in resilient, local, and circular food systems. …”
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Provenance of the Late Quaternary sediments in the Andaman Sea: Implications for monsoon variability and ocean circulation by Neeraj Awasthi, Jyotiranjan S. Ray, Ashutosh K. Singh, Shraddha T. Band, Vinai K. Rai

“…Age control is based on nine radiocarbon dates and δ18O stratigraphy. The rate of sedimentation was strongly controlled by fluctuations of the monsoon. …”
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Enhancing Education with Machine Learning: Predicting Student Readability Scores by Claire Bell

“…The research leverages a dataset of 1,000 English texts to evaluate and compare the performance of RFC, the Sooty Tern Optimization Algorithm (STOA), and the Gold Rush Optimizer (GRO) in predicting readability ratings. Key metrics, including accuracy, precision, and F1-score, are employed to assess and benchmark the models. …”
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Attachment as a Primary Mechanism in Physician Cognition and Bias During Complex Medical Cases: A Narrative Review by Rein C

“…This theory provides a foundation for further research into how attachment influences clinician decision-making and diagnostic performance while also highlighting how medical education may reinforce these patterns.Keywords: diagnostics, unconscious bias, cognitive theory, attachment theory…”
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Putting into practice domain-linear motif interaction predictions for exploration of protein networks. by Katja Luck, Sadek Fournane, Bruno Kieffer, Murielle Masson, Yves Nominé, Gilles Travé

“…When tested on real negative data assembled from published literature, the predictor displayed a high false positive rate (FPR). We predicted and experimentally validated interactions between four PDZ domains derived from the human proteins MAGI1 and SCRIB and 19 peptides derived from human and viral C-termini of proteins. …”
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Optimization of geometry forms for wind mill mouth of the “rotor-in-socket” type by Vladimir A. Kostyukov, Mikhail Yu. Medvedev, Andrey N. Maevskiy, Nikolay K. Poluyanovich, Vasily V. Savchenko

“…Such wind power plants meet and exceed, at any rate upon the average, the corresponding classical vertical axis structures.…”
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An Epidemiological and Multidrug Resistance Study for E. coli Isolated from Urinary Tract Infection (Three Years of Study) by Mahde S. Assafi, Fawwaz F. Ali, Reem Fouad Polis, Nisreen Jawad Sabaly, Sozan Muhsin Qarani

“…The uropathogenic E. coli rate was higher, statistically not significant, in females (21.4%) than males (18.5%) (P=0.4946). …”
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Cross-sectional and longitudinal trajectory analyses of sleep duration and frailty among middle-aged and older Chinese adults by Wei Zheng, Yan Sun, Xianling Liu, Miao Lu, Di Xu

“…Conversely, the initial level of frailty significantly negatively predicted the initial level of sleep duration (β = − 0.36, P < 0.001), and the rate of change in frailty negatively predicted the rate of change in sleep duration (β = − 0.71, P < 0.001). …”
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A Dual-Strategy Framework for Cyber Threat Detection in Imbalanced, High-Dimensional Data Across Heterogeneous Networks by T. Saranya, S. Indra Priyadharshini

“…The proposed IDS is evaluated using metrics that specifically evaluate anomaly detection capabilities, such as Accuracy, Precision, DR (Detection Rate), Specificity, MR (Miss Rate), FAR (False Alarm Rate), F1-Score, Cohen&#x2019;s Kappa, MCC, ROC-AUC. …”
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Justifying the use of structure-forming agents to increase storability of confectionery products with the foamy structure by N. B. Kondratev, O. S. Rudenko, E. V. Kazantsev, I. A. Belova, N. A. Petrova

“…Thus, the addition of gelatin makes it possible to reduce the rate of moisture transfer by approximately 2–3 times. …”
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Study on the age and growth characteristics of Sepia esculenta in the East coast of China based on beak microstructure by Bilin Liu, Bilin Liu, Bilin Liu, Bilin Liu, Yuzhe Ou, Minhua Zhou, Hu Zhang, Yueyue Xiao, Kaiwei Zu, Chaowen Zhu, Haisheng Hu

“…The ML-age relationship fitted a linear growth model, while BW-age relationships followed an exponential model for females and a power function model for males. Growth rate analysis showed varied growth trajectories with age, with the highest absolute growth rate (AGR) of ML observed at 120–150 days for females (1.23 mm/d) and at 60–90 days for males (1.93 mm/d). …”
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Enhanced-Dueling Deep Q-Network for Trustworthy Physical Security of Electric Power Substations by Nawaraj Kumar Mahato, Junfeng Yang, Jiaxuan Yang, Gangjun Gong, Jianhong Hao, Jing Sun, Jinlu Liu

“…Empirical evaluation using synthetic data derived from historical incident patterns demonstrates the significant advantages of EDDQN over other standard DQN variations, yielding an average reward of 7.5, a threat prevention success rate of 91.1%, and a notably low false alarm rate of 0.5%. …”
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Early-stage endometrioid carcinoma with MSH6 protein deficiency: pitfalls in the diagnostic interpretation of microsatellite instability by Cheng Wang, Cheng Wang, Dongni Liang, Dongni Liang, Wei Wang, Wei Wang, Wei Kuang, Wei Kuang, Juan Zou, Juan Zou, Jing Zeng, Jing Zeng, Min Feng, Min Feng

“…This atypical MSI pattern is often overlooked, potentially increasing the risk of underdiagnosis of LS.…”
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Analysis of Metallic-to-Oxide Sputtering Mode Transition During Reactive Magnetron Deposition of Aluminum Oxide Coatings by Andrey V. Kaziev, Alexander V. Tumarkin, Dobrynya V. Kolodko, Maksim M. Kharkov, Raghavendra Konaguru, Dmitry G. Ageychenkov, Nikolay N. Samotaev, Konstantin Yu. Oblov

“…Electrical measurements of the discharge voltage and current along with the deposition rate trends observed with varying the oxygen flow rate indicated the presence of hysteresis, typical to when using a DC power supply. …”
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Area-wide augmentation of Anagyrus vladimiri and Cryptolaemus montrouzieri enhances biological control of mealybugs in Lambrusco vineyards in Northern Italy by Giovanni Burgio, Serena Magagnoli, Roberto Mondini, Emilio Guerrieri, Luca Casoli, Marco Profeta, Sabina Capponcelli, Alessandro Castiglioni, Stefano Meglioraldi, Matteo Mora, Stefania Valeriani, Martina Parrilli

“…A significant increase in parasitism rate and predator density was recorded in release farms compared to the control ones, with the parasitism rate reaching a median value of about 80 %. …”
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Clinical Characteristics and Survival Analysis of Patients with Supraclavicular Fossa Lymphadenopathy by Yi-Jou Kao, Wan-Lun Hsu, Yong-Chen Chen, Wu-Chia Lo, Ping-Chia Cheng, Li-Jen Liao

“…The malignant nodes were larger and had a greater short-to-long axis ratio, irregular margins, and abnormal vascular patterns (<i>p</i> < 0.01). The 5-year survival rate for patients with malignant SCLNs was 40%. …”
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Short-term solar irradiance forecasting model based on hyper-parameter tuned LSTM via chaotic particle swarm optimization algorithm by V Ashok Gajapati Raju, Janmenjoy Nayak, Pandit Byomakesha Dash, Manohar Mishra

“…The proposed DL architecture leverages the power of LSTM to learn complex temporal patterns in short-wave solar irradiance data. The main objective of the CPSO is to minimize the prediction error through optimizing the LSTM's hyper-parameters such as neurons in hidden layers, learning rate, batch size, dropout rate and activation function. …”
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