Pre-sowing treatment of vetch hairy seeds, viсia villosa using ultraviolet irradiation by A. Semenov, T. Sakhno, O. Hordieieva, Y. Sakhno

“…Later in time the hydration rate progressively decreased, achieving a saturated moisture content after 700 minutes. …”
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Predicting kidney graft function and failure among kidney transplant recipients by Yi Yao, Brad C. Astor, Wei Yang, Tom Greene, Liang Li

“…Results For prediction up to the next 1 to 5 years, the model achieved high accuracy in predicting graft failure, with the AUC between 0.80 and 0.95, and moderately high accuracy in predicting eGFR, with the root mean squared error between 10 and 18 mL/min/1.73m2 and 70%-90% of predicted eGFR falling within 30% of the observed eGFR. …”
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Trojan-horse silk fibroin nanocarriers loaded with a re-call antigen to redirect immunity against cancer by Luca Mastracci, Patrizio Castagnola, Elia Bari, Francesca Ferrera, Tiziana Altosole, Sara Perteghella, Pierluigi Mauri, Rossana Rossi, Giulia Passignani, Martina Galati, Giuseppina Iliana Astone, Maddalena Mastrogiacomo, Daniela Fenoglio, Dario Di Silvestre, Maria Luisa Torre, Gilberto Filaci

“…Proof-of-concept of in vivo efficacy was achieved in an OVA-hyperimmune B16/F10 murine melanoma model: SFNs-OVA or SFNs-CpG were injected, separately or in association, into the subcutaneous peritumoral area. …”
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Effects of Enterobacter cloacae extract, selenium nanoparticles and methyl jasmonate on shoot liquid cultures of Sarcocornia fruticosa under salinity stress by Fathia Salem, Raoufa Abdel Rahman, Amel Tammam

“…Sarcocornia fruticosa, a halophytic plant, may hold promise for biosaline production systems and achieve bioactive products. Understanding the salt tolerance mechanisms of halophytes through elicitors can enhance the production of secondary metabolites, such as phenolics and flavonoids, under saline environment. …”
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Cross-code comparison of the edge codes SOLPS-ITER, SOLEDGE2D and UEDGE in modelling a high-power neon-seeded scenario in the DTT by M. Moscheni, M. Wigram, H. Wu, C. Meineri, C. Carati, E. De Marchi, M. Greenwald, P. Innocente, B. LaBombard, F. Subba, R. Zanino

“…The particular set of EIRENE atomic-molecular reactions adopted is found to stiffly restrict the achievable code solutions, which results in the predicted effective charge Z _eff changing from ${\sim}5$ to ${\sim}8$ at the outer mid-plane separatrix. …”
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Access control relationship prediction method based on GNN dual source learning by Dibin SHAN, Xuehui DU, Wenjuan WANG, Aodi LIU, Na WANG

“…With the rapid development and wide application of big data technology, users’ unauthorized access to resources becomes one of the main problems that restrict the secure sharing and controlled access to big data resources.The ReBAC (Relationship-Based Access Control) model uses the relationship between entities to formulate access control rules, which enhances the logical expression of policies and realizes dynamic access control.However, It still faces the problems of missing entity relationship data and complex relationship paths of rules.To overcome these problems, a link prediction model LPMDLG based on GNN dual-source learning was proposed to transform the big data entity-relationship prediction problem into a link prediction problem with directed multiple graphs.A topology learning method based on directed enclosing subgraphs was designed in this modeled.And a directed dual-radius node labeling algorithm was proposed to learn the topological structure features of nodes and subgraphs from entity relationship graphs through three segments, including directed enclosing subgraph extraction, subgraph node labeling calculation and topological structure feature learning.A node embedding feature learning method based on directed neighbor subgraph was proposed, which incorporated elements such as attention coefficients and relationship types, and learned its node embedding features through the sessions of directed neighbor subgraph extraction and node embedding feature learning.A two-source fusion scoring network was designed to jointly calculate the edge scores by topology and node embedding to obtain the link prediction results of entity-relationship graphs.The experiment results of link prediction show that the proposed model obtains better prediction results under the evaluation metrics of AUC-PR, MRR and Hits@N compared with the baseline models such as R-GCN, SEAL, GraIL and TACT.The ablation experiment results illustrate that the model’s dual-source learning scheme outperforms the link prediction effect of a single scheme.The rule matching experiment results verify that the model achieves automatic authorization of some entities and compression of the relational path of rules.The model effectively improves the effect of link prediction and it can meet the demand of big data access control relationship prediction.…”
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Antimicrobial effects of polyphenols from fermented and non-fermented apple and carrot pomace against Escherichia coli by Anghel Andrei Cristian, Țăranu Ionelia, Orțan Alina, Băbeanu Narcisa Elena

“…Notably, despite having a lower overall concentration, the fermented polyphenol extracts achieved similar levels of bacterial growth inhibition as the unfermented extracts at higher concentrations. …”
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Classifying tumour infiltrating lymphocytes in oral squamous cell carcinoma histopathology using joint learning framework by Barun Barua, Genevieve Chyrmang, Kangkana Bora, Gazi N. Ahmed, Lopamudra Kakoti, Manob Jyoti Saikia

“…An extensive evaluation of our methodology demonstrates that OralTILs-ViT with the configuration (Adam, $$\alpha$$ α = 0.001) outperforms existing approaches, achieving 96.37% accuracy, 96.34% precision, 96.37% recall, and a 96.35% F1 score. …”
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Application of machine learning algorithms in predicting new onset hypertension: a study based on the China Health and Nutrition Survey by Manhui Zhang, Xian Xia, Qiqi Wang, Yue Pan, Guanyi Zhang, Zhigang Wang

“…Conclusion: We used the AMFormer model for the first time in predicting new onset hypertension and achieved the best results among the six algorithms tested. …”
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A benchmark of deep learning approaches to predict lung cancer risk using national lung screening trial cohort by Yifan Jiang, Leyla Ebrahimpour, Philippe Després, Venkata SK. Manem

“…On the test cohort, the best-performing 3D model achieved an AUROC of 0.86, while the best 2D model reached 0.79. …”
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Differential Chaos Shift Keying for FSO Systems: A Novel Approach Under Turbulence and Boresight Pointing Errors by Gyan Deep Verma, Aashish Mathur, Manav R. Bhatnagar

“…In the last two decades, chaos-based signals have achieved much popularity due to their useful waveform properties such as non-periodicity, wide-band nature, and robustness against eavesdropping by intruders. …”
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Intratesticular Testosterone and Its Precursors among Azoospermic Men: A Pilot Study by I-Shen Huang, Li-Hua Li, Wei-Jen Chen, Chi-Chang Juan, William J. Huang

“…Furthermore, within the subset of men with NOA who did not undergo medical treatment before microdissection testicular sperm extraction but achieved successful sperm retrieval, the ratio of 17-OH progesterone/progesterone (indicative of CYP17A1 activity) was substantially higher. …”

Advancing breast cancer diagnosis: token vision transformers for faster and accurate classification of histopathology images by Mouhamed Laid Abimouloud, Khaled Bensid, Mohamed Elleuch, Mohamed Ben Ammar, Monji Kherallah

“…We evaluated the TokenMixer model on the BreakHis public dataset, comparing it with ViT-based and other state-of-the-art methods. Our approach achieved impressive results for both binary and multi-classification of breast cancer subtypes across various magnification levels (40×, 100×, 200×, 400×). …”
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Screening Evaporative Dry Eyes Severity Using an Infrared Image by Qing Zhang, Yi Wu, Yilin Song, Guanghao Qin, Lanting Yang, Sumeet Singh Talwar, Tiezhu Lin, Gagan Deep Singh Talwar, Hongda Zhang, Ling Xu, Jonathan E Moore, Emmanuel Eric Pazo, Wei He

“…Additionally, the nasal limbus ROI achieved the highest AUC of 0.79 (CI: 0.73–0.85; p<0.05), sensitivity, and specificity (0.96 and 0.91) when comparing its ability to discriminated DED vs. non-DED eyes. …”
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Factors that shape the integration of HIV and TB services in Zomba District, Malawi by Alex F. Maseko, Adam Silumbwe, Patricia Maritim, Margarate N. Munakampe, Griphin Baxter Chirambo, Choolwe Jacobs, Joseph M. Zulu

“…Additionally, comprehensive strategies that address these multifaceted issues are key to achieving successful integration and better health outcomes.…”
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Three-dimensional conformal radiation therapy for the osteoarthritis of knee joint: the radiobiological background, dose distribution analysis by М. V. Маkаrоvа, M. Yu. Vаlkov, D. Yu. Tretjakov

“…The application of the 6-fields technique allows achieving 95% dose distribution at 93% of the volume, and 90% of the planned dose of 45 SGR covers 97% of the PTV. …”
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BRCA1 is involved in sustaining rapid antler growth possibly via balancing of the p53/endoplasmic reticulum stress signaling pathway by Qianqian Guo, Zhen Wang, Jiping Li, Chao Ma, Junjun Zheng, Hengxing Ba, Guokun Zhang, Chunyi Li

“…They provide a mammalian model to understand the possible mechanism by which rapid regeneration is achieved while avoiding the development of malignancies. …”
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Efficacy and safety of transcutaneous electrical nerve stimulation (TENS) for acute and chronic pain in adults: a systematic review and meta-analysis of 381 studies (the meta-TENS... by Gareth Jones, Mark I. Johnson, Carole A. Paley, Matthew R. Mulvey, Priscilla G. Wittkopf

“…Mean pain intensity and proportions of participants achieving reductions of pain intensity (≥30% or &gt;50%) during or immediately after TENS. …”
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A Metaheuristic Approach to Detecting and Mitigating DDoS Attacks in Blockchain-Integrated Deep Learning Models for IoT Applications by Manal Alkhammash

“…To overcome this problem, mitigation and intrusion detection are achieved which improves the safety of IoT networks. …”
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Novel surgical technique for macular holes with basal diameter >1000 μ by Debdulal Chakraborty, Soumen Mondal, Sabyasachi Sengupta, Subhendu Boral, Arnab Das

“…This novel technique can help achieve better outcomes and raise the primary anatomical success rate of FTMH with basal diameter >1000 μ.…”
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